# LangChain API Reference - Full Symbol Index

> Complete listing of all symbols from LangChain Python and JavaScript packages.
> Each link points to the markdown version of the symbol documentation.

Notes:
- Click any symbol link to get detailed markdown documentation
- Symbols are grouped by package and kind (class, function, etc.)
- This file may be truncated; use individual package pages for complete details

---

## Python Packages

### langchain

#### Attributes

- [action_name](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ReviewConfig/action_name.md) (attribute): Name of the action associated with this review configuration.
- [action_requests](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HITLRequest/action_requests.md) (attribute): A list of agent actions for human review.
- [ai_message](https://reference.langchain.com/python/langchain/agents/structured_output/StructuredOutputError/ai_message.md) (attribute)
- [ai_message](https://reference.langchain.com/python/langchain/agents/structured_output/MultipleStructuredOutputsError/ai_message.md) (attribute)
- [ai_message](https://reference.langchain.com/python/langchain/agents/structured_output/StructuredOutputValidationError/ai_message.md) (attribute)
- [allowed_decisions](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ReviewConfig/allowed_decisions.md) (attribute): The decisions that are allowed for this request.
- [allowed_decisions](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/InterruptOnConfig/allowed_decisions.md) (attribute): The decisions that are allowed for this action.
- [always_include](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware/always_include.md) (attribute)
- [apply_to_input](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/apply_to_input.md) (attribute)
- [apply_to_output](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/apply_to_output.md) (attribute)
- [apply_to_tool_results](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/apply_to_tool_results.md) (attribute)
- [args](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/Action/args.md) (attribute): Key-value pairs of args needed for the action (e.g., `{"a": 1, "b": 2}`).
- [args](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ActionRequest/args.md) (attribute): Key-value pairs of args needed for the action (e.g., `{"a": 1, "b": 2}`).
- [args_schema](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ReviewConfig/args_schema.md) (attribute): JSON schema for the args associated with the action, if edits are allowed.
- [args_schema](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/InterruptOnConfig/args_schema.md) (attribute): JSON schema for the args associated with the action, if edits are allowed.
- [available_tools](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/_SelectionRequest/available_tools.md) (attribute)
- [backoff_factor](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/backoff_factor.md) (attribute)
- [backoff_factor](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/backoff_factor.md) (attribute)
- [binary](https://reference.langchain.com/python/langchain/agents/middleware/_execution/CodexSandboxExecutionPolicy/binary.md) (attribute)
- [binary](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/binary.md) (attribute)
- [BUILTIN_DETECTORS](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/BUILTIN_DETECTORS.md) (attribute): Registry of built-in detectors keyed by type name.
- [CallableT](https://reference.langchain.com/python/langchain/agents/middleware/types/CallableT.md) (attribute)
- [clear_at_least](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/clear_at_least.md) (attribute): Minimum number of tokens to reclaim when the edit runs.
- [clear_tool_inputs](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/clear_tool_inputs.md) (attribute): Whether to clear the originating tool call parameters on the AI message.
- [command](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_ShellToolInput/command.md) (attribute): The shell command to execute.
- [command](https://reference.langchain.com/python/langchain/agents/middleware/types/ExtendedModelResponse/command.md) (attribute): Optional command to apply as an additional state update.
- [command_timeout](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy/command_timeout.md) (attribute)
- [commands](https://reference.langchain.com/python/langchain/agents/factory/_ComposedExtendedModelResponse/commands.md) (attribute): Commands accumulated from all middleware layers (inner-first, then outer).
- [config_overrides](https://reference.langchain.com/python/langchain/agents/middleware/_execution/CodexSandboxExecutionPolicy/config_overrides.md) (attribute)
- [content](https://reference.langchain.com/python/langchain/agents/middleware/todo/Todo/content.md) (attribute): The content/description of the todo item.
- [ContextFraction](https://reference.langchain.com/python/langchain/agents/middleware/summarization/ContextFraction.md) (attribute): Fraction of model's maximum input tokens.
- [ContextMessages](https://reference.langchain.com/python/langchain/agents/middleware/summarization/ContextMessages.md) (attribute): Absolute number of messages.
- [ContextTokens](https://reference.langchain.com/python/langchain/agents/middleware/summarization/ContextTokens.md) (attribute): Absolute number of tokens.
- [cpu_time_seconds](https://reference.langchain.com/python/langchain/agents/middleware/_execution/HostExecutionPolicy/cpu_time_seconds.md) (attribute)
- [cpu_time_seconds](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/cpu_time_seconds.md) (attribute)
- [cpus](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/cpus.md) (attribute)
- [create_process_group](https://reference.langchain.com/python/langchain/agents/middleware/_execution/HostExecutionPolicy/create_process_group.md) (attribute)
- [decisions](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HITLResponse/decisions.md) (attribute): The decisions made by the human.
- [DecisionType](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/DecisionType.md) (attribute)
- [DEFAULT_SUMMARY_PROMPT](https://reference.langchain.com/python/langchain/agents/middleware/summarization/DEFAULT_SUMMARY_PROMPT.md) (attribute)
- [DEFAULT_SYSTEM_PROMPT](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/DEFAULT_SYSTEM_PROMPT.md) (attribute)
- [DEFAULT_TOOL_DESCRIPTION](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/DEFAULT_TOOL_DESCRIPTION.md) (attribute)
- [DEFAULT_TOOL_PLACEHOLDER](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/DEFAULT_TOOL_PLACEHOLDER.md) (attribute)
- [description](https://reference.langchain.com/python/langchain/agents/structured_output/_SchemaSpec/description.md) (attribute): Custom description of the schema
- [description](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ActionRequest/description.md) (attribute): The description of the action to be reviewed.
- [description](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/InterruptOnConfig/description.md) (attribute): The description attached to the request for human input
- [description_prefix](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HumanInTheLoopMiddleware/description_prefix.md) (attribute)
- [detector](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/detector.md) (attribute)
- [detector](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/RedactionRule/detector.md) (attribute)
- [detector](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/ResolvedRedactionRule/detector.md) (attribute)
- [Detector](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/Detector.md) (attribute): Callable signature for detectors that locate sensitive values.
- [DYNAMIC_TOOL_ERROR_TEMPLATE](https://reference.langchain.com/python/langchain/agents/factory/DYNAMIC_TOOL_ERROR_TEMPLATE.md) (attribute)
- [edited_action](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/EditDecision/edited_action.md) (attribute): Edited action for the agent to perform
- [edits](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEditingMiddleware/edits.md) (attribute)
- [emulate_all](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator/LLMToolEmulator/emulate_all.md) (attribute)
- [end](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIMatch/end.md) (attribute)
- [exclude_tools](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/exclude_tools.md) (attribute): List of tool names to exclude from clearing.
- [exit_behavior](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/exit_behavior.md) (attribute)
- [exit_behavior](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/exit_behavior.md) (attribute)
- [exit_code](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/exit_code.md) (attribute)
- [ExitBehavior](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ExitBehavior.md) (attribute): How to handle execution when tool call limits are exceeded
- [extra_run_args](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/extra_run_args.md) (attribute)
- [FALLBACK_MODELS_WITH_STRUCTURED_OUTPUT](https://reference.langchain.com/python/langchain/agents/factory/FALLBACK_MODELS_WITH_STRUCTURED_OUTPUT.md) (attribute)
- [finalizer](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_SessionResources/finalizer.md) (attribute)
- [glob_search](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/glob_search.md) (attribute)
- [grep_search](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/grep_search.md) (attribute)
- [handle_errors](https://reference.langchain.com/python/langchain/agents/structured_output/ToolStrategy/handle_errors.md) (attribute): Error handling strategy for structured output via `ToolStrategy`
- [image](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/image.md) (attribute)
- [initial_delay](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/initial_delay.md) (attribute)
- [initial_delay](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/initial_delay.md) (attribute)
- [input](https://reference.langchain.com/python/langchain/agents/middleware/types/OmitFromSchema/input.md) (attribute): Whether to omit the attribute from the input schema.
- [InputType](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/InputType.md) (attribute): Get the input type for this `Runnable`.
- [interrupt_on](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HumanInTheLoopMiddleware/interrupt_on.md) (attribute)
- [jitter](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/jitter.md) (attribute)
- [jitter](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/jitter.md) (attribute)
- [json_schema](https://reference.langchain.com/python/langchain/agents/structured_output/_SchemaSpec/json_schema.md) (attribute): JSON schema associated with the schema.
- [jump_to](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentState/jump_to.md) (attribute)
- [JumpTo](https://reference.langchain.com/python/langchain/agents/middleware/types/JumpTo.md) (attribute): Destination to jump to when a middleware node returns.
- [keep](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/keep.md) (attribute): Number of most recent tool results that must be preserved.
- [keep](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/keep.md) (attribute)
- [last_user_message](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/_SelectionRequest/last_user_message.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/logger.md) (attribute)
- [LOGGER](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/LOGGER.md) (attribute)
- [matches](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIDetectionError/matches.md) (attribute)
- [max_delay](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/max_delay.md) (attribute)
- [max_delay](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/max_delay.md) (attribute)
- [max_file_size_bytes](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/max_file_size_bytes.md) (attribute)
- [max_output_bytes](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy/max_output_bytes.md) (attribute)
- [max_output_lines](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy/max_output_lines.md) (attribute)
- [max_retries](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/max_retries.md) (attribute)
- [max_retries](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/max_retries.md) (attribute)
- [max_tools](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware/max_tools.md) (attribute)
- [memory_bytes](https://reference.langchain.com/python/langchain/agents/middleware/_execution/HostExecutionPolicy/memory_bytes.md) (attribute)
- [memory_bytes](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/memory_bytes.md) (attribute)
- [message](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/RejectDecision/message.md) (attribute): The message sent to the model explaining why the action was rejected.
- [messages](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/messages.md) (attribute)
- [messages](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/messages.md) (attribute)
- [messages](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentState/messages.md) (attribute)
- [messages](https://reference.langchain.com/python/langchain/agents/middleware/types/_InputAgentState/messages.md) (attribute)
- [messages](https://reference.langchain.com/python/langchain/agents/middleware/types/_OutputAgentState/messages.md) (attribute)
- [model](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/model.md) (attribute)
- [model](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/model.md) (attribute)
- [model](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/model.md) (attribute)
- [model](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/_SelectionRequest/model.md) (attribute)
- [model](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware/model.md) (attribute)
- [model](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator/LLMToolEmulator/model.md) (attribute)
- [model_response](https://reference.langchain.com/python/langchain/agents/factory/_ComposedExtendedModelResponse/model_response.md) (attribute): The underlying model response.
- [model_response](https://reference.langchain.com/python/langchain/agents/middleware/types/ExtendedModelResponse/model_response.md) (attribute): The underlying model response.
- [model_settings](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/model_settings.md) (attribute)
- [model_settings](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/model_settings.md) (attribute)
- [models](https://reference.langchain.com/python/langchain/agents/middleware/model_fallback/ModelFallbackMiddleware/models.md) (attribute)
- [name](https://reference.langchain.com/python/langchain/agents/structured_output/_SchemaSpec/name.md) (attribute): Name of the schema, used for tool calling
- [name](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/Action/name.md) (attribute): The type or name of action being requested (e.g., `'add_numbers'`).
- [name](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ActionRequest/name.md) (attribute): The name of the action being requested.
- [name](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/name.md) (attribute): The name of the middleware instance
- [name](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/name.md) (attribute): Name of the middleware.
- [name](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/name.md) (attribute): The name of the middleware instance
- [network_enabled](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/network_enabled.md) (attribute)
- [OmitFromInput](https://reference.langchain.com/python/langchain/agents/middleware/types/OmitFromInput.md) (attribute): Annotation used to mark state attributes as omitted from input schema.
- [OmitFromOutput](https://reference.langchain.com/python/langchain/agents/middleware/types/OmitFromOutput.md) (attribute): Annotation used to mark state attributes as omitted from output schema.
- [on_failure](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/on_failure.md) (attribute)
- [on_failure](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/on_failure.md) (attribute)
- [output](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/output.md) (attribute)
- [output](https://reference.langchain.com/python/langchain/agents/middleware/types/OmitFromSchema/output.md) (attribute): Whether to omit the attribute from the output schema.
- [pii_type](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/pii_type.md) (attribute)
- [pii_type](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIDetectionError/pii_type.md) (attribute)
- [pii_type](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/RedactionRule/pii_type.md) (attribute)
- [pii_type](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/ResolvedRedactionRule/pii_type.md) (attribute)
- [placeholder](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/placeholder.md) (attribute): Placeholder text inserted for cleared tool outputs.
- [platform](https://reference.langchain.com/python/langchain/agents/middleware/_execution/CodexSandboxExecutionPolicy/platform.md) (attribute)
- [policy](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_SessionResources/policy.md) (attribute)
- [PrivateStateAttr](https://reference.langchain.com/python/langchain/agents/middleware/types/PrivateStateAttr.md) (attribute): Annotation used to mark state attributes as purely internal for a given middleware.
- [read_only_rootfs](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/read_only_rootfs.md) (attribute)
- [RedactionStrategy](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/RedactionStrategy.md) (attribute): Supported strategies for handling detected sensitive values.
- [remove_container_on_exit](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/remove_container_on_exit.md) (attribute)
- [response_format](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/response_format.md) (attribute)
- [response_format](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/response_format.md) (attribute)
- [ResponseT](https://reference.langchain.com/python/langchain/agents/middleware/types/ResponseT.md) (attribute)
- [restart](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_ShellToolInput/restart.md) (attribute): Whether to restart the shell session.
- [result](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelResponse/result.md) (attribute): List of messages from model execution.
- [retry_on](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/retry_on.md) (attribute)
- [retry_on](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/retry_on.md) (attribute)
- [review_configs](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HITLRequest/review_configs.md) (attribute): Review configuration for all possible actions.
- [root_path](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/root_path.md) (attribute)
- [run_count](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitExceededError/run_count.md) (attribute)
- [run_count](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitExceededError/run_count.md) (attribute)
- [run_limit](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitExceededError/run_limit.md) (attribute)
- [run_limit](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/run_limit.md) (attribute)
- [run_limit](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitExceededError/run_limit.md) (attribute)
- [run_limit](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/run_limit.md) (attribute)
- [run_model_call_count](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitState/run_model_call_count.md) (attribute)
- [run_tool_call_count](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitState/run_tool_call_count.md) (attribute)
- [runtime](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_ShellToolInput/runtime.md) (attribute): The runtime for the shell tool
- [runtime](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/runtime.md) (attribute)
- [schema](https://reference.langchain.com/python/langchain/agents/structured_output/_SchemaSpec/schema.md) (attribute): The schema for the response, can be a Pydantic model, `dataclass`, `TypedDict`, or JSON schema dict.
- [schema](https://reference.langchain.com/python/langchain/agents/structured_output/ToolStrategy/schema.md) (attribute): Schema for the tool calls.
- [schema](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategy/schema.md) (attribute): Schema for native mode.
- [schema](https://reference.langchain.com/python/langchain/agents/structured_output/OutputToolBinding/schema.md) (attribute): The original schema provided for structured output (Pydantic model, dataclass, TypedDict, or JSON schema dict).
- [schema](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategyBinding/schema.md) (attribute): The original schema provided for structured output (Pydantic model, `dataclass`, `TypedDict`, or JSON schema dict).
- [schema](https://reference.langchain.com/python/langchain/agents/structured_output/AutoStrategy/schema.md) (attribute): Schema for automatic mode.
- [schema_kind](https://reference.langchain.com/python/langchain/agents/structured_output/_SchemaSpec/schema_kind.md) (attribute): The kind of schema.
- [schema_kind](https://reference.langchain.com/python/langchain/agents/structured_output/OutputToolBinding/schema_kind.md) (attribute): Classification of the schema type for proper response construction.
- [schema_kind](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategyBinding/schema_kind.md) (attribute): Classification of the schema type for proper response construction.
- [schema_spec](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategy/schema_spec.md) (attribute): Schema spec for native mode.
- [schema_specs](https://reference.langchain.com/python/langchain/agents/structured_output/ToolStrategy/schema_specs.md) (attribute): Schema specs for the tool calls.
- [SchemaKind](https://reference.langchain.com/python/langchain/agents/structured_output/SchemaKind.md) (attribute)
- [SchemaT](https://reference.langchain.com/python/langchain/agents/structured_output/SchemaT.md) (attribute)
- [session](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_SessionResources/session.md) (attribute)
- [shell_session_resources](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolState/shell_session_resources.md) (attribute)
- [SHELL_TEMP_PREFIX](https://reference.langchain.com/python/langchain/agents/middleware/_execution/SHELL_TEMP_PREFIX.md) (attribute)
- [SHELL_TOOL_NAME](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/SHELL_TOOL_NAME.md) (attribute)
- [source](https://reference.langchain.com/python/langchain/agents/structured_output/StructuredOutputValidationError/source.md) (attribute)
- [start](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIMatch/start.md) (attribute)
- [startup_timeout](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy/startup_timeout.md) (attribute)
- [state](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/state.md) (attribute)
- [state](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/state.md) (attribute)
- [state_schema](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/state_schema.md) (attribute)
- [state_schema](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/state_schema.md) (attribute): The schema for state passed to the middleware nodes.
- [state_schema](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/state_schema.md) (attribute)
- [state_schema](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/state_schema.md) (attribute)
- [state_schema](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/state_schema.md) (attribute)
- [StateT](https://reference.langchain.com/python/langchain/agents/middleware/types/StateT.md) (attribute)
- [StateT_co](https://reference.langchain.com/python/langchain/agents/middleware/types/StateT_co.md) (attribute)
- [StateT_contra](https://reference.langchain.com/python/langchain/agents/middleware/types/StateT_contra.md) (attribute)
- [status](https://reference.langchain.com/python/langchain/agents/middleware/todo/Todo/status.md) (attribute): The current status of the todo item.
- [strategy](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/strategy.md) (attribute)
- [strategy](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/RedactionRule/strategy.md) (attribute)
- [strategy](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/ResolvedRedactionRule/strategy.md) (attribute)
- [strict](https://reference.langchain.com/python/langchain/agents/structured_output/_SchemaSpec/strict.md) (attribute): Whether to enforce strict validation of the schema.
- [STRUCTURED_OUTPUT_ERROR_TEMPLATE](https://reference.langchain.com/python/langchain/agents/factory/STRUCTURED_OUTPUT_ERROR_TEMPLATE.md) (attribute)
- [structured_response](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelResponse/structured_response.md) (attribute): Parsed structured output if `response_format` was specified, `None` otherwise.
- [structured_response](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentState/structured_response.md) (attribute)
- [structured_response](https://reference.langchain.com/python/langchain/agents/middleware/types/_OutputAgentState/structured_response.md) (attribute)
- [summary_prompt](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/summary_prompt.md) (attribute)
- [system_message](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/system_message.md) (attribute)
- [system_message](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/system_message.md) (attribute)
- [system_message](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/_SelectionRequest/system_message.md) (attribute)
- [system_prompt](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/system_prompt.md) (attribute): Get system prompt text from system_message.
- [system_prompt](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware/system_prompt.md) (attribute)
- [system_prompt](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/system_prompt.md) (attribute)
- [tempdir](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_SessionResources/tempdir.md) (attribute)
- [termination_timeout](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy/termination_timeout.md) (attribute)
- [thread_count](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitExceededError/thread_count.md) (attribute)
- [thread_count](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitExceededError/thread_count.md) (attribute)
- [thread_limit](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitExceededError/thread_limit.md) (attribute)
- [thread_limit](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/thread_limit.md) (attribute)
- [thread_limit](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitExceededError/thread_limit.md) (attribute)
- [thread_limit](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/thread_limit.md) (attribute)
- [thread_model_call_count](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitState/thread_model_call_count.md) (attribute)
- [thread_tool_call_count](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitState/thread_tool_call_count.md) (attribute)
- [timed_out](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/timed_out.md) (attribute)
- [todos](https://reference.langchain.com/python/langchain/agents/middleware/todo/PlanningState/todos.md) (attribute): List of todo items for tracking task progress.
- [todos](https://reference.langchain.com/python/langchain/agents/middleware/todo/WriteTodosInput/todos.md) (attribute)
- [token_count_method](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEditingMiddleware/token_count_method.md) (attribute)
- [token_counter](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/token_counter.md) (attribute)
- [TokenCounter](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/TokenCounter.md) (attribute)
- [TokenCounter](https://reference.langchain.com/python/langchain/agents/middleware/summarization/TokenCounter.md) (attribute)
- [tool](https://reference.langchain.com/python/langchain/agents/structured_output/OutputToolBinding/tool.md) (attribute): LangChain tool instance created from the schema for model binding.
- [tool_choice](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/tool_choice.md) (attribute)
- [tool_choice](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/tool_choice.md) (attribute)
- [tool_description](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/tool_description.md) (attribute)
- [tool_message_content](https://reference.langchain.com/python/langchain/agents/structured_output/ToolStrategy/tool_message_content.md) (attribute): The content of the tool message to be returned when the model calls an artificial structured output tool.
- [tool_name](https://reference.langchain.com/python/langchain/agents/structured_output/StructuredOutputValidationError/tool_name.md) (attribute)
- [tool_name](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitExceededError/tool_name.md) (attribute)
- [tool_name](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/tool_name.md) (attribute)
- [tool_names](https://reference.langchain.com/python/langchain/agents/structured_output/MultipleStructuredOutputsError/tool_names.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/tools.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/tools.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/tools.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/types/_ModelRequestOverrides/tools.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/tools.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/tools.md) (attribute): Additional tools registered by the middleware.
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/tools.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/tools.md) (attribute)
- [tools_to_emulate](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator/LLMToolEmulator/tools_to_emulate.md) (attribute)
- [total_bytes](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/total_bytes.md) (attribute)
- [total_lines](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/total_lines.md) (attribute)
- [trigger](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/trigger.md) (attribute): Token count that triggers the edit.
- [trigger](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/trigger.md) (attribute)
- [trim_tokens_to_summarize](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/trim_tokens_to_summarize.md) (attribute)
- [truncated_by_bytes](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/truncated_by_bytes.md) (attribute)
- [truncated_by_lines](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult/truncated_by_lines.md) (attribute)
- [type](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ApproveDecision/type.md) (attribute): The type of response when a human approves the action.
- [type](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/EditDecision/type.md) (attribute): The type of response when a human edits the action.
- [type](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/RejectDecision/type.md) (attribute): The type of response when a human rejects the action.
- [type](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIMatch/type.md) (attribute)
- [use_ripgrep](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/use_ripgrep.md) (attribute)
- [user](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/user.md) (attribute)
- [valid_tool_names](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/_SelectionRequest/valid_tool_names.md) (attribute)
- [value](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIMatch/value.md) (attribute)
- [WRITE_TODOS_SYSTEM_PROMPT](https://reference.langchain.com/python/langchain/agents/middleware/todo/WRITE_TODOS_SYSTEM_PROMPT.md) (attribute)
- [WRITE_TODOS_TOOL_DESCRIPTION](https://reference.langchain.com/python/langchain/agents/middleware/todo/WRITE_TODOS_TOOL_DESCRIPTION.md) (attribute)

#### Classs

- [Action](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/Action.md) (class): Represents an action with a name and args.
- [ActionRequest](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ActionRequest.md) (class): Represents an action request with a name, args, and description.
- [AgentMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware.md) (class): Base middleware class for an agent
- [AgentState](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentState.md) (class): State schema for the agent.
- [ApproveDecision](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ApproveDecision.md) (class): Response when a human approves the action.
- [AutoStrategy](https://reference.langchain.com/python/langchain/agents/structured_output/AutoStrategy.md) (class): Automatically select the best strategy for structured output.
- [BaseExecutionPolicy](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy.md) (class): Configuration contract for persistent shell sessions
- [ClearToolUsesEdit](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit.md) (class): Configuration for clearing tool outputs when token limits are exceeded.
- [CodexSandboxExecutionPolicy](https://reference.langchain.com/python/langchain/agents/middleware/_execution/CodexSandboxExecutionPolicy.md) (class): Launch the shell through the Codex CLI sandbox
- [CommandExecutionResult](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/CommandExecutionResult.md) (class): Structured result from command execution.
- [ContextEdit](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEdit.md) (class): Protocol describing a context editing strategy.
- [ContextEditingMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEditingMiddleware.md) (class): Automatically prune tool results to manage context size
- [DockerExecutionPolicy](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy.md) (class): Run the shell inside a dedicated Docker container
- [EditDecision](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/EditDecision.md) (class): Response when a human edits the action.
- [ExtendedModelResponse](https://reference.langchain.com/python/langchain/agents/middleware/types/ExtendedModelResponse.md) (class): Model response with an optional 'Command' from 'wrap_model_call' middleware
- [FilesystemFileSearchMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware.md) (class): Provides Glob and Grep search over filesystem files
- [HITLRequest](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HITLRequest.md) (class): Request for human feedback on a sequence of actions requested by a model.
- [HITLResponse](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HITLResponse.md) (class): Response payload for a HITLRequest.
- [HostExecutionPolicy](https://reference.langchain.com/python/langchain/agents/middleware/_execution/HostExecutionPolicy.md) (class): Run the shell directly on the host process
- [HumanInTheLoopMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HumanInTheLoopMiddleware.md) (class): Human in the loop middleware.
- [InterruptOnConfig](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/InterruptOnConfig.md) (class): Configuration for an action requiring human in the loop
- [LLMToolEmulator](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator/LLMToolEmulator.md) (class): Emulates specified tools using an LLM instead of executing them
- [LLMToolSelectorMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware.md) (class): Uses an LLM to select relevant tools before calling the main model
- [ModelCallLimitExceededError](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitExceededError.md) (class): Exception raised when model call limits are exceeded
- [ModelCallLimitMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware.md) (class): Tracks model call counts and enforces limits
- [ModelCallLimitState](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitState.md) (class): State schema for `ModelCallLimitMiddleware`
- [ModelFallbackMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/model_fallback/ModelFallbackMiddleware.md) (class): Automatic fallback to alternative models on errors
- [ModelRequest](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest.md) (class): Model request information for the agent.
- [ModelResponse](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelResponse.md) (class): Response from model execution including messages and optional structured output
- [ModelRetryMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware.md) (class): Middleware that automatically retries failed model calls with configurable backoff
- [MultipleStructuredOutputsError](https://reference.langchain.com/python/langchain/agents/structured_output/MultipleStructuredOutputsError.md) (class): Raised when model returns multiple structured output tool calls when only one is expected.
- [OmitFromSchema](https://reference.langchain.com/python/langchain/agents/middleware/types/OmitFromSchema.md) (class): Annotation used to mark state attributes as omitted from input or output schemas.
- [OutputToolBinding](https://reference.langchain.com/python/langchain/agents/structured_output/OutputToolBinding.md) (class): Information for tracking structured output tool metadata
- [PIIDetectionError](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIDetectionError.md) (class): Raised when configured to block on detected sensitive values.
- [PIIMatch](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/PIIMatch.md) (class): Represents an individual match of sensitive data.
- [PIIMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware.md) (class): Detect and handle Personally Identifiable Information (PII) in conversations
- [PlanningState](https://reference.langchain.com/python/langchain/agents/middleware/todo/PlanningState.md) (class): State schema for the todo middleware.
- [ProviderStrategy](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategy.md) (class): Use the model provider's native structured output method.
- [ProviderStrategyBinding](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategyBinding.md) (class): Information for tracking native structured output metadata
- [RedactionRule](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/RedactionRule.md) (class): Configuration for handling a single PII type.
- [RejectDecision](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/RejectDecision.md) (class): Response when a human rejects the action.
- [ResolvedRedactionRule](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/ResolvedRedactionRule.md) (class): Resolved redaction rule ready for execution.
- [ReviewConfig](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/ReviewConfig.md) (class): Policy for reviewing a HITL request.
- [ShellSession](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellSession.md) (class): Persistent shell session that supports sequential command execution.
- [ShellToolMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware.md) (class): Middleware that registers a persistent shell tool for agents
- [ShellToolState](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolState.md) (class): Agent state extension for tracking shell session resources.
- [StructuredOutputError](https://reference.langchain.com/python/langchain/agents/structured_output/StructuredOutputError.md) (class): Base class for structured output errors.
- [StructuredOutputValidationError](https://reference.langchain.com/python/langchain/agents/structured_output/StructuredOutputValidationError.md) (class): Raised when structured output tool call arguments fail to parse according to the schema.
- [SummarizationMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware.md) (class): Summarizes conversation history when token limits are approached
- [Todo](https://reference.langchain.com/python/langchain/agents/middleware/todo/Todo.md) (class): A single todo item with content and status.
- [TodoListMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware.md) (class): Middleware that provides todo list management capabilities to agents
- [ToolCallLimitExceededError](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitExceededError.md) (class): Exception raised when tool call limits are exceeded
- [ToolCallLimitMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware.md) (class): Track tool call counts and enforces limits during agent execution
- [ToolCallLimitState](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitState.md) (class): State schema for `ToolCallLimitMiddleware`
- [ToolRetryMiddleware](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware.md) (class): Middleware that automatically retries failed tool calls with configurable backoff
- [ToolStrategy](https://reference.langchain.com/python/langchain/agents/structured_output/ToolStrategy.md) (class): Use a tool calling strategy for model responses.
- [WriteTodosInput](https://reference.langchain.com/python/langchain/agents/middleware/todo/WriteTodosInput.md) (class): Input schema for the `write_todos` tool.

#### Functions

- [after_agent](https://reference.langchain.com/python/langchain/agents/middleware/types/after_agent.md) (function): Decorator used to dynamically create a middleware with the `after_agent` hook
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/types/after_model.md) (function): Decorator used to dynamically create a middleware with the `after_model` hook.
- [apply_strategy](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/apply_strategy.md) (function): Apply the configured strategy to matches within content.
- [before_agent](https://reference.langchain.com/python/langchain/agents/middleware/types/before_agent.md) (function): Decorator used to dynamically create a middleware with the `before_agent` hook.
- [before_model](https://reference.langchain.com/python/langchain/agents/middleware/types/before_model.md) (function): Decorator used to dynamically create a middleware with the `before_model` hook.
- [calculate_delay](https://reference.langchain.com/python/langchain/agents/middleware/_retry/calculate_delay.md) (function): Calculate delay for a retry attempt with exponential backoff and optional jitter.
- [create_agent](https://reference.langchain.com/python/langchain/agents/factory/create_agent.md) (function): Creates an agent graph that calls tools in a loop until a stopping condition is met
- [detect_credit_card](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/detect_credit_card.md) (function): Detect credit card numbers in content using Luhn validation.
- [detect_email](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/detect_email.md) (function): Detect email addresses in content.
- [detect_ip](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/detect_ip.md) (function): Detect IPv4 or IPv6 addresses in content.
- [detect_mac_address](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/detect_mac_address.md) (function): Detect MAC addresses in content.
- [detect_url](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/detect_url.md) (function): Detect URLs in content using regex and stdlib validation.
- [dynamic_prompt](https://reference.langchain.com/python/langchain/agents/middleware/types/dynamic_prompt.md) (function): Decorator used to dynamically generate system prompts for the model
- [glob_search](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/__init__/glob_search.md) (function): Fast file pattern matching tool that works with any codebase size
- [grep_search](https://reference.langchain.com/python/langchain/agents/middleware/file_search/FilesystemFileSearchMiddleware/__init__/grep_search.md) (function): Fast content search tool that works with any codebase size
- [hook_config](https://reference.langchain.com/python/langchain/agents/middleware/types/hook_config.md) (function): Decorator to configure hook behavior in middleware methods
- [init_chat_model](https://reference.langchain.com/python/langchain/chat_models/base/init_chat_model.md) (function): Initialize a chat model from any supported provider using a unified interface
- [init_embeddings](https://reference.langchain.com/python/langchain/embeddings/base/init_embeddings.md) (function): Initialize an embedding model from a model name and optional provider
- [resolve_detector](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/resolve_detector.md) (function): Return a callable detector for the given configuration.
- [shell_tool](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/__init__/shell_tool.md) (function)
- [should_retry_exception](https://reference.langchain.com/python/langchain/agents/middleware/_retry/should_retry_exception.md) (function): Check if an exception should trigger a retry.
- [validate_retry_params](https://reference.langchain.com/python/langchain/agents/middleware/_retry/validate_retry_params.md) (function): Validate retry parameters.
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/types/wrap_model_call.md) (function): Create middleware with `wrap_model_call` hook from a function
- [wrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/types/wrap_tool_call.md) (function): Create middleware with `wrap_tool_call` hook from a function
- [write_todos](https://reference.langchain.com/python/langchain/agents/middleware/todo/write_todos.md) (function): Create and manage a structured task list for your current work session.

#### Methods

- [aafter_agent](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/aafter_agent.md) (method): Async run shutdown commands and release resources when an agent completes.
- [aafter_agent](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/aafter_agent.md) (method): Async logic to run after the agent execution completes.
- [aafter_model](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HumanInTheLoopMiddleware/aafter_model.md) (method): Async trigger interrupt flows for relevant tool calls after an `AIMessage`.
- [aafter_model](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/aafter_model.md) (method): Async logic to run after the model is called.
- [aafter_model](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/aafter_model.md) (method): Async check AI messages for PII after model invocation.
- [aafter_model](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/aafter_model.md) (method): Async increment tool call counts after a model call and check limits.
- [aafter_model](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/aafter_model.md) (method): Check for parallel write_todos tool calls and return errors if detected
- [aafter_model](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/aafter_model.md) (method): Async increment model call counts after a model call.
- [abatch](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/abatch.md) (method)
- [abatch_as_completed](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/abatch_as_completed.md) (method)
- [abefore_agent](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/abefore_agent.md) (method): Async start the shell session and run startup commands.
- [abefore_agent](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/abefore_agent.md) (method): Async logic to run before the agent execution starts.
- [abefore_model](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/abefore_model.md) (method): Process messages before model invocation, potentially triggering summarization.
- [abefore_model](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/abefore_model.md) (method): Async logic to run before the model is called.
- [abefore_model](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/abefore_model.md) (method): Async check user messages and tool results for PII before model invocation.
- [abefore_model](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/abefore_model.md) (method): Async check model call limits before making a model call.
- [after_agent](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/after_agent.md) (method): Run shutdown commands and release resources when an agent completes.
- [after_agent](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/after_agent.md) (method): Logic to run after the agent execution completes.
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/HumanInTheLoopMiddleware/after_model.md) (method): Trigger interrupt flows for relevant tool calls after an `AIMessage`.
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/after_model.md) (method): Logic to run after the model is called.
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/after_model.md) (method): Check AI messages for PII after model invocation.
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit/ToolCallLimitMiddleware/after_model.md) (method): Increment tool call counts after a model call and check limits.
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/after_model.md) (method): Check for parallel write_todos tool calls and return errors if detected
- [after_model](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/after_model.md) (method): Increment model call counts after a model call.
- [ainvoke](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/ainvoke.md) (method)
- [apply](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEdit/apply.md) (method): Apply an edit to the message list in place.
- [apply](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ClearToolUsesEdit/apply.md) (method): Apply the clear-tool-uses strategy.
- [apply](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/ResolvedRedactionRule/apply.md) (method): Apply this rule to content, returning new content and matches.
- [astream](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/astream.md) (method)
- [astream_events](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/astream_events.md) (method)
- [astream_log](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/astream_log.md) (method)
- [atransform](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/atransform.md) (method)
- [awrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEditingMiddleware/awrap_model_call.md) (method): Apply context edits before invoking the model via handler.
- [awrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/awrap_model_call.md) (method): Intercept and control async model execution via handler callback
- [awrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware/awrap_model_call.md) (method): Filter tools based on LLM selection before invoking the model via handler.
- [awrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/awrap_model_call.md) (method): Update the system message to include the todo system prompt.
- [awrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/model_fallback/ModelFallbackMiddleware/awrap_model_call.md) (method): Try fallback models in sequence on errors (async version).
- [awrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/awrap_model_call.md) (method): Intercept and control async model execution with retry logic.
- [awrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/awrap_tool_call.md) (method): Intercept and control async tool execution with retry logic.
- [awrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/awrap_tool_call.md) (method): Intercept and control async tool execution via handler callback
- [awrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator/LLMToolEmulator/awrap_tool_call.md) (method): Async version of `wrap_tool_call`
- [batch](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/batch.md) (method)
- [batch_as_completed](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/batch_as_completed.md) (method)
- [before_agent](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellToolMiddleware/before_agent.md) (method): Start the shell session and run startup commands.
- [before_agent](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/before_agent.md) (method): Logic to run before the agent execution starts.
- [before_model](https://reference.langchain.com/python/langchain/agents/middleware/summarization/SummarizationMiddleware/before_model.md) (method): Process messages before model invocation, potentially triggering summarization.
- [before_model](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/before_model.md) (method): Logic to run before the model is called.
- [before_model](https://reference.langchain.com/python/langchain/agents/middleware/pii/PIIMiddleware/before_model.md) (method): Check user messages and tool results for PII before model invocation.
- [before_model](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit/ModelCallLimitMiddleware/before_model.md) (method): Check model call limits before making a model call.
- [bind_tools](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/bind_tools.md) (method)
- [execute](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellSession/execute.md) (method): Execute a command in the persistent shell.
- [from_schema_spec](https://reference.langchain.com/python/langchain/agents/structured_output/OutputToolBinding/from_schema_spec.md) (method): Create an `OutputToolBinding` instance from a `SchemaSpec`.
- [from_schema_spec](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategyBinding/from_schema_spec.md) (method): Create a `ProviderStrategyBinding` instance from a `SchemaSpec`.
- [invoke](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/invoke.md) (method)
- [override](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelRequest/override.md) (method): Replace the request with a new request with the given overrides
- [parse](https://reference.langchain.com/python/langchain/agents/structured_output/OutputToolBinding/parse.md) (method): Parse tool arguments according to the schema.
- [parse](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategyBinding/parse.md) (method): Parse `AIMessage` content according to the schema.
- [resolve](https://reference.langchain.com/python/langchain/agents/middleware/_redaction/RedactionRule/resolve.md) (method): Resolve runtime detector and return an immutable rule.
- [restart](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellSession/restart.md) (method): Restart the shell process.
- [spawn](https://reference.langchain.com/python/langchain/agents/middleware/_execution/BaseExecutionPolicy/spawn.md) (method): Launch the persistent shell process.
- [spawn](https://reference.langchain.com/python/langchain/agents/middleware/_execution/HostExecutionPolicy/spawn.md) (method)
- [spawn](https://reference.langchain.com/python/langchain/agents/middleware/_execution/CodexSandboxExecutionPolicy/spawn.md) (method)
- [spawn](https://reference.langchain.com/python/langchain/agents/middleware/_execution/DockerExecutionPolicy/spawn.md) (method)
- [start](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellSession/start.md) (method): Start the shell subprocess and reader threads.
- [stop](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/ShellSession/stop.md) (method): Stop the shell subprocess.
- [stream](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/stream.md) (method)
- [to_model_kwargs](https://reference.langchain.com/python/langchain/agents/structured_output/ProviderStrategy/to_model_kwargs.md) (method): Convert to kwargs to bind to a model to force structured output.
- [transform](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/transform.md) (method)
- [validate_payload](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool/_ShellToolInput/validate_payload.md) (method)
- [with_config](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/with_config.md) (method)
- [with_structured_output](https://reference.langchain.com/python/langchain/chat_models/base/_ConfigurableModel/with_structured_output.md) (method)
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/context_editing/ContextEditingMiddleware/wrap_model_call.md) (method): Apply context edits before invoking the model via handler.
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/wrap_model_call.md) (method): Intercept and control model execution via handler callback
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection/LLMToolSelectorMiddleware/wrap_model_call.md) (method): Filter tools based on LLM selection before invoking the model via handler.
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/todo/TodoListMiddleware/wrap_model_call.md) (method): Update the system message to include the todo system prompt.
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/model_fallback/ModelFallbackMiddleware/wrap_model_call.md) (method): Try fallback models in sequence on errors.
- [wrap_model_call](https://reference.langchain.com/python/langchain/agents/middleware/model_retry/ModelRetryMiddleware/wrap_model_call.md) (method): Intercept model execution and retry on failure.
- [wrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry/ToolRetryMiddleware/wrap_tool_call.md) (method): Intercept tool execution and retry on failure.
- [wrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/types/AgentMiddleware/wrap_tool_call.md) (method): Intercept tool execution for retries, monitoring, or modification
- [wrap_tool_call](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator/LLMToolEmulator/wrap_tool_call.md) (method): Emulate tool execution using LLM if tool should be emulated.

#### Modules

- [agents](https://reference.langchain.com/python/langchain/agents.md) (module): Entrypoint to building [Agents](https://docs.langchain.com/oss/python/langchain/agents) with LangChain.
- [base](https://reference.langchain.com/python/langchain/chat_models/base.md) (module): Factory functions for chat models.
- [base](https://reference.langchain.com/python/langchain/embeddings/base.md) (module): Factory functions for embeddings.
- [chat_models](https://reference.langchain.com/python/langchain/chat_models.md) (module): Entrypoint to using [chat models](https://docs.langchain.com/oss/python/langchain/models) in LangChain.
- [context_editing](https://reference.langchain.com/python/langchain/agents/middleware/context_editing.md) (module): Context editing middleware
- [embeddings](https://reference.langchain.com/python/langchain/embeddings.md) (module): Embeddings models
- [factory](https://reference.langchain.com/python/langchain/agents/factory.md) (module): Agent factory for creating agents with middleware support.
- [file_search](https://reference.langchain.com/python/langchain/agents/middleware/file_search.md) (module): File search middleware for Anthropic text editor and memory tools
- [human_in_the_loop](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop.md) (module): Human in the loop middleware.
- [langchain](https://reference.langchain.com/python/langchain/langchain.md) (module): Main entrypoint into LangChain.
- [messages](https://reference.langchain.com/python/langchain/messages.md) (module): Message and message content types
- [middleware](https://reference.langchain.com/python/langchain/agents/middleware.md) (module): Entrypoint to using [middleware](https://docs.langchain.com/oss/python/langchain/middleware) plugins with [Agents](https://docs.langchain.com/oss/p...
- [model_call_limit](https://reference.langchain.com/python/langchain/agents/middleware/model_call_limit.md) (module): Call tracking middleware for agents.
- [model_fallback](https://reference.langchain.com/python/langchain/agents/middleware/model_fallback.md) (module): Model fallback middleware for agents.
- [model_retry](https://reference.langchain.com/python/langchain/agents/middleware/model_retry.md) (module): Model retry middleware for agents.
- [pii](https://reference.langchain.com/python/langchain/agents/middleware/pii.md) (module): PII detection and handling middleware for agents.
- [rate_limiters](https://reference.langchain.com/python/langchain/rate_limiters.md) (module): Base abstraction and in-memory implementation of rate limiters
- [shell_tool](https://reference.langchain.com/python/langchain/agents/middleware/shell_tool.md) (module): Middleware that exposes a persistent shell tool to agents.
- [structured_output](https://reference.langchain.com/python/langchain/agents/structured_output.md) (module): Types for setting agent response formats.
- [summarization](https://reference.langchain.com/python/langchain/agents/middleware/summarization.md) (module): Summarization middleware.
- [todo](https://reference.langchain.com/python/langchain/agents/middleware/todo.md) (module): Planning and task management middleware for agents.
- [tool_call_limit](https://reference.langchain.com/python/langchain/agents/middleware/tool_call_limit.md) (module): Tool call limit middleware for agents.
- [tool_emulator](https://reference.langchain.com/python/langchain/agents/middleware/tool_emulator.md) (module): Tool emulator middleware for testing.
- [tool_node](https://reference.langchain.com/python/langchain/tools/tool_node.md) (module): Utils file included for backwards compat imports.
- [tool_retry](https://reference.langchain.com/python/langchain/agents/middleware/tool_retry.md) (module): Tool retry middleware for agents.
- [tool_selection](https://reference.langchain.com/python/langchain/agents/middleware/tool_selection.md) (module): LLM-based tool selector middleware.
- [tools](https://reference.langchain.com/python/langchain/tools.md) (module): Tools.
- [types](https://reference.langchain.com/python/langchain/agents/middleware/types.md) (module): Types for middleware and agents.

#### TypeAliass

- [ContextSize](https://reference.langchain.com/python/langchain/agents/middleware/summarization/ContextSize.md) (typeAlias): Union type for context size specifications
- [Decision](https://reference.langchain.com/python/langchain/agents/middleware/human_in_the_loop/Decision.md) (typeAlias)
- [ModelCallResult](https://reference.langchain.com/python/langchain/agents/middleware/types/ModelCallResult.md) (typeAlias): `TypeAlias` for model call handler return value
- [OnFailure](https://reference.langchain.com/python/langchain/agents/middleware/_retry/OnFailure.md) (typeAlias): Type for specifying failure handling behavior
- [ResponseFormat](https://reference.langchain.com/python/langchain/agents/structured_output/ResponseFormat.md) (typeAlias): Union type for all supported response format strategies.
- [RetryOn](https://reference.langchain.com/python/langchain/agents/middleware/_retry/RetryOn.md) (typeAlias): Type for specifying which exceptions to retry on

### langchain_core

#### Attributes

- [action](https://reference.langchain.com/python/langchain-core/agents/AgentStep/action.md) (attribute): The `AgentAction` that was executed.
- [Addable](https://reference.langchain.com/python/langchain-core/runnables/utils/Addable.md) (attribute)
- [additional_import_mappings](https://reference.langchain.com/python/langchain-core/load/load/Reviver/additional_import_mappings.md) (attribute)
- [additional_kwargs](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/additional_kwargs.md) (attribute): Currently inherited from `BaseMessage`, but not used.
- [additional_kwargs](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/additional_kwargs.md) (attribute): Reserved for additional payload data associated with the message
- [additional_kwargs](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/additional_kwargs.md) (attribute): Additional keyword arguments to pass to the prompt template.
- [additional_kwargs](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/additional_kwargs.md) (attribute): Additional keyword arguments to pass to the prompt template.
- [afunc](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/afunc.md) (attribute)
- [afunc](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/afunc.md) (attribute)
- [ALL_SERIALIZABLE_MAPPINGS](https://reference.langchain.com/python/langchain-core/load/load/ALL_SERIALIZABLE_MAPPINGS.md) (attribute)
- [allowed_class_paths](https://reference.langchain.com/python/langchain-core/load/load/Reviver/allowed_class_paths.md) (attribute)
- [allowed_comparators](https://reference.langchain.com/python/langchain-core/structured_query/Visitor/allowed_comparators.md) (attribute): Allowed comparators for the visitor.
- [allowed_operators](https://reference.langchain.com/python/langchain-core/structured_query/Visitor/allowed_operators.md) (attribute): Allowed operators for the visitor.
- [allowed_search_types](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/allowed_search_types.md) (attribute)
- [AllowedObject](https://reference.langchain.com/python/langchain-core/load/load/AllowedObject.md) (attribute): Type alias for classes that can be included in the `allowed_objects` parameter
- [alternatives](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives/alternatives.md) (attribute): The alternatives to choose from.
- [AND](https://reference.langchain.com/python/langchain-core/structured_query/Operator/AND.md) (attribute)
- [annotation](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableField/annotation.md) (attribute): The annotation of the field.
- [annotation](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/annotation.md) (attribute): The annotation of the field.
- [annotations](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock/annotations.md) (attribute): `Citation`s and other annotations.
- [AnyMessage](https://reference.langchain.com/python/langchain-core/messages/utils/AnyMessage.md) (attribute): A type representing any defined `Message` or `MessageChunk` type.
- [API](https://reference.langchain.com/python/langchain-core/runnables/graph/MermaidDrawMethod/API.md) (attribute): Uses Mermaid.INK API to render the graph
- [arbitrary_types_allowed](https://reference.langchain.com/python/langchain-core/tools/base/_SchemaConfig/arbitrary_types_allowed.md) (attribute): Whether to allow arbitrary types in the model.
- [args](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCall/args.md) (attribute): The arguments to the tool call as a dictionary.
- [args](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCallChunk/args.md) (attribute): The arguments to the tool call as a JSON-parseable string.
- [args](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall/args.md) (attribute): The arguments to the tool call.
- [args](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk/args.md) (attribute): The arguments to the tool call.
- [args](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/args.md) (attribute): The arguments to the tool call.
- [args](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall/args.md) (attribute): The arguments to the tool call.
- [args](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk/args.md) (attribute): JSON substring of the arguments to the tool call.
- [args](https://reference.langchain.com/python/langchain-core/tools/simple/Tool/args.md) (attribute): The tool's input arguments.
- [args](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/args.md) (attribute): Get the tool's input arguments schema.
- [args_only](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/OutputFunctionsParser/args_only.md) (attribute): Whether to only return the arguments to the function call.
- [args_only](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonOutputFunctionsParser/args_only.md) (attribute): Whether to only return the arguments to the function call.
- [args_schema](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool/args_schema.md) (attribute): The input arguments' schema.
- [args_schema](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/args_schema.md) (attribute): Pydantic model class to validate and parse the tool's input arguments
- [arguments](https://reference.langchain.com/python/langchain-core/structured_query/Operation/arguments.md) (attribute): The arguments to the operator.
- [artifact](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/artifact.md) (attribute): Artifact of the Tool execution which is not meant to be sent to the model
- [as_of](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/as_of.md) (attribute)
- [atee](https://reference.langchain.com/python/langchain-core/utils/aiter/atee.md) (attribute)
- [attachment](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/attachment.md) (attribute): Whether the model supports file attachments.
- [attr_name](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticAttrOutputFunctionsParser/attr_name.md) (attribute): The name of the attribute to return.
- [attribute](https://reference.langchain.com/python/langchain-core/structured_query/Comparison/attribute.md) (attribute): The attribute to compare.
- [audio](https://reference.langchain.com/python/langchain-core/messages/ai/InputTokenDetails/audio.md) (attribute): Audio input tokens.
- [audio](https://reference.langchain.com/python/langchain-core/messages/ai/OutputTokenDetails/audio.md) (attribute): Audio output tokens.
- [audio_inputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/audio_inputs.md) (attribute): Whether [audio inputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [audio_outputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/audio_outputs.md) (attribute): Whether [audio outputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [auto_close](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/auto_close.md) (attribute)
- [available_tokens](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/available_tokens.md) (attribute)
- [base64](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/base64.md) (attribute): Data as a base64 string.
- [base64](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/base64.md) (attribute): Data as a base64 string.
- [base64](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/base64.md) (attribute): Data as a base64 string.
- [base64](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/base64.md) (attribute): Data as a base64 string.
- [base64](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/base64.md) (attribute): Data as a base64 string.
- [BASIS](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/BASIS.md) (attribute)
- [bound](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/bound.md) (attribute)
- [bound](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/bound.md) (attribute): The underlying `Runnable` that this `Runnable` delegates to.
- [branches](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/branches.md) (attribute): A list of `(condition, Runnable)` pairs.
- [buffer](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/buffer.md) (attribute)
- [BUMP_X](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/BUMP_X.md) (attribute)
- [BUMP_Y](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/BUMP_Y.md) (attribute)
- [ByteStore](https://reference.langchain.com/python/langchain-core/stores/ByteStore.md) (attribute)
- [cache](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/cache.md) (attribute): Whether to cache the response
- [cache_creation](https://reference.langchain.com/python/langchain-core/messages/ai/InputTokenDetails/cache_creation.md) (attribute): Input tokens that were cached and there was a cache miss
- [cache_read](https://reference.langchain.com/python/langchain-core/messages/ai/InputTokenDetails/cache_read.md) (attribute): Input tokens that were cached and there was a cache hit
- [callbacks](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/callbacks.md) (attribute): Callbacks for this call and any sub-calls (e.g
- [callbacks](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/callbacks.md) (attribute): Callbacks to be called during tool execution.
- [callbacks](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/callbacks.md) (attribute): Callbacks to add to the run trace.
- [canvas](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/canvas.md) (attribute)
- [CARDINAL](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/CARDINAL.md) (attribute)
- [CATMULL_ROM](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/CATMULL_ROM.md) (attribute)
- [check_every_n_seconds](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/check_every_n_seconds.md) (attribute)
- [chunk](https://reference.langchain.com/python/langchain-core/runnables/schema/EventData/chunk.md) (attribute): A streaming chunk from the output that generated the event
- [chunk_position](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/chunk_position.md) (attribute): Optional span represented by an aggregated `AIMessageChunk`
- [cited_text](https://reference.langchain.com/python/langchain-core/messages/content/Citation/cited_text.md) (attribute): Excerpt of source text being cited.
- [client](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/client.md) (attribute): The LangSmith client instance used for evaluating the runs.
- [client](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/client.md) (attribute)
- [CLOUD_METADATA_HOSTNAMES](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/CLOUD_METADATA_HOSTNAMES.md) (attribute)
- [CLOUD_METADATA_IPS](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/CLOUD_METADATA_IPS.md) (attribute)
- [CLOUD_METADATA_RANGES](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/CLOUD_METADATA_RANGES.md) (attribute)
- [color](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/color.md) (attribute)
- [color](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/color.md) (attribute)
- [cols](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/cols.md) (attribute)
- [comparator](https://reference.langchain.com/python/langchain-core/structured_query/Comparison/comparator.md) (attribute): The comparator to use.
- [condition](https://reference.langchain.com/python/langchain-core/runnables/graph/Branch/condition.md) (attribute): A callable that returns a string representation of the condition.
- [conditional](https://reference.langchain.com/python/langchain-core/runnables/graph/Edge/conditional.md) (attribute): Whether the edge is conditional.
- [config](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/config.md) (attribute): The configuration to use.
- [config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/config.md) (attribute): The config to bind to the underlying `Runnable`.
- [config](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/RootListenersTracer/config.md) (attribute)
- [config](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/AsyncRootListenersTracer/config.md) (attribute)
- [config_factories](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/config_factories.md) (attribute): The config factories to bind to the underlying `Runnable`.
- [CONFIG_KEYS](https://reference.langchain.com/python/langchain-core/runnables/config/CONFIG_KEYS.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableFields/config_specs.md) (attribute): Get the configuration specs for the `RunnableConfigurableFields`.
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/config_specs.md) (attribute): Get the configuration specs for the `RunnableWithMessageHistory`.
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/config_specs.md) (attribute): List configurable fields for this `Runnable`.
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/config_specs.md) (attribute): Get the config specs of the `Runnable`.
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/config_specs.md) (attribute): Get the config specs of the `Runnable`.
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/config_specs.md) (attribute)
- [config_specs](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/config_specs.md) (attribute)
- [configurable](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/configurable.md) (attribute): Runtime values for attributes previously made configurable on this `Runnable`, or sub-`Runnable` objects, through `configurable_fields` or `configu...
- [CONTAIN](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/CONTAIN.md) (attribute)
- [content](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/content.md) (attribute): The contents of the message.
- [content_blocks](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/content_blocks.md) (attribute): Return standard, typed `ContentBlock` dicts from the message
- [content_blocks](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/content_blocks.md) (attribute): Return standard, typed `ContentBlock` dicts from the message.
- [content_blocks](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/content_blocks.md) (attribute): Load content blocks from the message content
- [content_key](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/content_key.md) (attribute)
- [context](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/context.md) (attribute): Context for the text, e.g., a description or summary of the text's content.
- [COPIABLE_KEYS](https://reference.langchain.com/python/langchain-core/runnables/config/COPIABLE_KEYS.md) (attribute)
- [coroutine](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool/coroutine.md) (attribute): The asynchronous version of the function.
- [coroutine](https://reference.langchain.com/python/langchain-core/tools/simple/Tool/coroutine.md) (attribute): The asynchronous version of the function.
- [count](https://reference.langchain.com/python/langchain-core/runnables/utils/GetLambdaSource/count.md) (attribute)
- [current_path](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/current_path.md) (attribute)
- [current_path_has_children](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/current_path_has_children.md) (attribute)
- [custom_get_token_ids](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/custom_get_token_ids.md) (attribute): Optional encoder to use for counting tokens.
- [custom_input_type](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/custom_input_type.md) (attribute): Override the input type of the underlying `Runnable` with a custom type
- [custom_output_type](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/custom_output_type.md) (attribute): Override the output type of the underlying `Runnable` with a custom type
- [data](https://reference.langchain.com/python/langchain-core/runnables/graph/Edge/data.md) (attribute): Optional data associated with the edge.
- [data](https://reference.langchain.com/python/langchain-core/runnables/graph/Node/data.md) (attribute): The data of the node.
- [data](https://reference.langchain.com/python/langchain-core/runnables/schema/StandardStreamEvent/data.md) (attribute): Event data
- [data](https://reference.langchain.com/python/langchain-core/runnables/schema/CustomStreamEvent/data.md) (attribute): The data associated with the event
- [data](https://reference.langchain.com/python/langchain-core/documents/base/Blob/data.md) (attribute): Raw data associated with the `Blob`.
- [data](https://reference.langchain.com/python/langchain-core/language_models/_utils/ParsedDataUri/data.md) (attribute)
- [dataset_id](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/dataset_id.md) (attribute)
- [dataset_name](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/dataset_name.md) (attribute)
- [default](https://reference.langchain.com/python/langchain-core/runnables/graph/NodeStyles/default.md) (attribute)
- [default](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption/default.md) (attribute): The default value for the field.
- [default](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption/default.md) (attribute): The default values for the field.
- [default](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/default.md) (attribute): The default value for the field.
- [default](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/default.md) (attribute): The default `Runnable` to use.
- [default](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/default.md) (attribute): A `Runnable` to run if no condition is met.
- [DEFAULT_FORMATTER_MAPPING](https://reference.langchain.com/python/langchain-core/prompts/string/DEFAULT_FORMATTER_MAPPING.md) (attribute)
- [default_key](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives/default_key.md) (attribute): The enum value to use for the default option.
- [DEFAULT_LINK_REGEX](https://reference.langchain.com/python/langchain-core/utils/html/DEFAULT_LINK_REGEX.md) (attribute)
- [DEFAULT_NAMESPACES](https://reference.langchain.com/python/langchain-core/load/load/DEFAULT_NAMESPACES.md) (attribute)
- [DEFAULT_RECURSION_LIMIT](https://reference.langchain.com/python/langchain-core/runnables/config/DEFAULT_RECURSION_LIMIT.md) (attribute)
- [DEFAULT_VALIDATOR_MAPPING](https://reference.langchain.com/python/langchain-core/prompts/string/DEFAULT_VALIDATOR_MAPPING.md) (attribute)
- [Defs](https://reference.langchain.com/python/langchain-core/prompts/string/Defs.md) (attribute)
- [dependencies](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/dependencies.md) (attribute): The dependencies of the field.
- [deps](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/deps.md) (attribute): The dependencies of this `Runnable`.
- [description](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableField/description.md) (attribute): The description of the field.
- [description](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption/description.md) (attribute): The description of the field.
- [description](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption/description.md) (attribute): The description of the field.
- [description](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/description.md) (attribute): The description of the field.
- [description](https://reference.langchain.com/python/langchain-core/utils/function_calling/FunctionDescription/description.md) (attribute): A description of the function.
- [description](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool/description.md) (attribute)
- [description](https://reference.langchain.com/python/langchain-core/tools/simple/Tool/description.md) (attribute)
- [description](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/description.md) (attribute): Used to tell the model how/when/why to use the tool
- [detail](https://reference.langchain.com/python/langchain-core/prompt_values/ImageURL/detail.md) (attribute): Specifies the detail level of the image
- [diff](https://reference.langchain.com/python/langchain-core/output_parsers/transform/BaseCumulativeTransformOutputParser/diff.md) (attribute): In streaming mode, whether to yield diffs between the previous and current parsed output, or just the current parsed output.
- [disable_streaming](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/disable_streaming.md) (attribute): Whether to disable streaming for this model
- [DISALLOW_LOAD_FROM_PATH](https://reference.langchain.com/python/langchain-core/load/load/DISALLOW_LOAD_FROM_PATH.md) (attribute)
- [edges](https://reference.langchain.com/python/langchain-core/runnables/graph/LabelsDict/edges.md) (attribute): Labels for edges.
- [edges](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/edges.md) (attribute)
- [embedding](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/embedding.md) (attribute)
- [embeddings](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/embeddings.md) (attribute): Access the query embedding object if available.
- [embeddings](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/embeddings.md) (attribute)
- [EMPTY_DICT](https://reference.langchain.com/python/langchain-core/utils/mustache/EMPTY_DICT.md) (attribute)
- [encoding](https://reference.langchain.com/python/langchain-core/documents/base/Blob/encoding.md) (attribute): Encoding to use if decoding the bytes into a string
- [encoding_matcher](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XMLOutputParser/encoding_matcher.md) (attribute)
- [end_index](https://reference.langchain.com/python/langchain-core/messages/content/Citation/end_index.md) (attribute): End index of the **response text** (`TextContentBlock.text`)
- [end_time](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/end_time.md) (attribute): ISO-8601 timestamp of when the run ended
- [ended](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup/ended.md) (attribute)
- [ended](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup/ended.md) (attribute)
- [ends](https://reference.langchain.com/python/langchain-core/runnables/graph/Branch/ends.md) (attribute): Optional dictionary of end node IDs for the branches.
- [EQ](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/EQ.md) (attribute)
- [error](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/error.md) (attribute): An error message associated with the tool call.
- [error](https://reference.langchain.com/python/langchain-core/runnables/schema/EventData/error.md) (attribute): The error that occurred during the execution of the `Runnable`
- [error_on_chunk_number](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeStreamingListLLM/error_on_chunk_number.md) (attribute): If set, will raise an exception on the specified chunk number.
- [error_on_chunk_number](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel/error_on_chunk_number.md) (attribute): If set, raise an error on the specified chunk number during streaming.
- [evaluators](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/evaluators.md) (attribute): The sequence of run evaluators to be executed.
- [event](https://reference.langchain.com/python/langchain-core/runnables/schema/BaseStreamEvent/event.md) (attribute): Event names are of the format: `on_[runnable_type]_(start|stream|end)`
- [event](https://reference.langchain.com/python/langchain-core/runnables/schema/CustomStreamEvent/event.md) (attribute): The event type.
- [example_id](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/example_id.md) (attribute): The example ID associated with the runs.
- [example_id](https://reference.langchain.com/python/langchain-core/tracers/run_collector/RunCollectorCallbackHandler/example_id.md) (attribute)
- [example_id](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/example_id.md) (attribute)
- [example_ids](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/example_ids.md) (attribute)
- [example_keys](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/example_keys.md) (attribute): Optional keys to filter examples to.
- [example_prompt](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/example_prompt.md) (attribute): `PromptTemplate` used to format an individual example.
- [example_prompt](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/example_prompt.md) (attribute): The class to format each example.
- [example_prompt](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/example_prompt.md) (attribute): `PromptTemplate` used to format an individual example.
- [example_prompt](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/example_prompt.md) (attribute): Prompt template used to format the examples.
- [example_selector](https://reference.langchain.com/python/langchain-core/prompts/few_shot/_FewShotPromptTemplateMixin/example_selector.md) (attribute): `ExampleSelector` to choose the examples to format into the prompt
- [example_selector](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/example_selector.md) (attribute): `ExampleSelector` to choose the examples to format into the prompt
- [example_separator](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/example_separator.md) (attribute): String separator used to join the prefix, the examples, and suffix.
- [example_separator](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/example_separator.md) (attribute): String separator used to join the prefix, the examples, and suffix.
- [example_text_lengths](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/example_text_lengths.md) (attribute): Length of each example.
- [examples](https://reference.langchain.com/python/langchain-core/prompts/few_shot/_FewShotPromptTemplateMixin/examples.md) (attribute): Examples to format into the prompt
- [examples](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/examples.md) (attribute): Examples to format into the prompt
- [examples](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/examples.md) (attribute): A list of the examples that the prompt template expects.
- [exception_key](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/exception_key.md) (attribute): If `string` is specified then handled exceptions will be passed to fallbacks as part of the input under the specified key
- [exceptions_to_handle](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/exceptions_to_handle.md) (attribute): The exceptions on which fallbacks should be tried
- [exclude_names](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/exclude_names.md) (attribute)
- [exclude_names](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/exclude_names.md) (attribute)
- [exclude_tags](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/exclude_tags.md) (attribute)
- [exclude_tags](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/exclude_tags.md) (attribute)
- [exclude_types](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/exclude_types.md) (attribute)
- [exclude_types](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/exclude_types.md) (attribute)
- [executor](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/executor.md) (attribute): The thread pool executor used for running the evaluators.
- [exp_base](https://reference.langchain.com/python/langchain-core/runnables/retry/ExponentialJitterParams/exp_base.md) (attribute): Base for exponential backoff.
- [exponential_jitter_params](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/exponential_jitter_params.md) (attribute): Parameters for `tenacity.wait_exponential_jitter`
- [extra](https://reference.langchain.com/python/langchain-core/tools/base/_SchemaConfig/extra.md) (attribute): Whether to allow extra fields in the model.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/Citation/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ReasoningContentBlock/extras.md) (attribute): Provider-specific metadata.
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/extras.md) (attribute): Provider-specific metadata
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/extras.md) (attribute): Provider-specific metadata
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/extras.md) (attribute): Provider-specific metadata
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/extras.md) (attribute): Provider-specific metadata
- [extras](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/extras.md) (attribute): Provider-specific metadata
- [extras](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/extras.md) (attribute): Optional provider-specific extra fields for the tool
- [failed](https://reference.langchain.com/python/langchain-core/indexing/base/UpsertResponse/failed.md) (attribute): The IDs that failed to index.
- [failed](https://reference.langchain.com/python/langchain-core/indexing/base/DeleteResponse/failed.md) (attribute): The IDs that failed to be deleted
- [fallbacks](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/fallbacks.md) (attribute): A sequence of fallbacks to try.
- [fetch_k](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/MaxMarginalRelevanceExampleSelector/fetch_k.md) (attribute): Number of examples to fetch to rerank.
- [fields](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableFields/fields.md) (attribute): The configurable fields to use.
- [file](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/file.md) (attribute)
- [file_id](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/file_id.md) (attribute): Reference to the image in an external file storage system
- [file_id](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/file_id.md) (attribute): Reference to the video in an external file storage system
- [file_id](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/file_id.md) (attribute): Reference to the audio file in an external file storage system
- [file_id](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/file_id.md) (attribute): Reference to the plaintext file in an external file storage system
- [file_id](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/file_id.md) (attribute): Reference to the file in an external file storage system
- [filename](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/filename.md) (attribute)
- [filter](https://reference.langchain.com/python/langchain-core/structured_query/StructuredQuery/filter.md) (attribute): Filtering expression.
- [filter](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/filter.md) (attribute)
- [FILTERED_ARGS](https://reference.langchain.com/python/langchain-core/tools/base/FILTERED_ARGS.md) (attribute)
- [final_output](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/final_output.md) (attribute): Final output of this run
- [final_output](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState/final_output.md) (attribute): Final output of the run, usually the result of aggregating (`+`) streamed_output
- [first](https://reference.langchain.com/python/langchain-core/runnables/graph/NodeStyles/first.md) (attribute)
- [first](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/first.md) (attribute): The first `Runnable` in the sequence.
- [first_tool_only](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputToolsParser/first_tool_only.md) (attribute): Whether to return only the first tool call
- [fontname](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/fontname.md) (attribute)
- [format_content](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/format_content.md) (attribute)
- [FormatOutputType](https://reference.langchain.com/python/langchain-core/prompts/base/FormatOutputType.md) (attribute)
- [formatter](https://reference.langchain.com/python/langchain-core/utils/formatting/formatter.md) (attribute)
- [func](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/func.md) (attribute)
- [func](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/func.md) (attribute)
- [func](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool/func.md) (attribute): The function to run when the tool is called.
- [func](https://reference.langchain.com/python/langchain-core/tools/simple/Tool/func.md) (attribute): The function to run when the tool is called.
- [Func](https://reference.langchain.com/python/langchain-core/callbacks/manager/Func.md) (attribute)
- [function](https://reference.langchain.com/python/langchain-core/utils/function_calling/ToolDescription/function.md) (attribute): The function description.
- [function_callback](https://reference.langchain.com/python/langchain-core/tracers/stdout/FunctionCallbackHandler/function_callback.md) (attribute)
- [functions](https://reference.langchain.com/python/langchain-core/chat_sessions/ChatSession/functions.md) (attribute): A sequence of the function calling specs for the messages.
- [futures](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/futures.md) (attribute): The set of futures representing the running evaluators.
- [g_token_cache](https://reference.langchain.com/python/langchain-core/utils/mustache/g_token_cache.md) (attribute)
- [generation_info](https://reference.langchain.com/python/langchain-core/outputs/generation/Generation/generation_info.md) (attribute): Raw response from the provider
- [generations](https://reference.langchain.com/python/langchain-core/outputs/llm_result/LLMResult/generations.md) (attribute): Generated outputs
- [generations](https://reference.langchain.com/python/langchain-core/outputs/chat_result/ChatResult/generations.md) (attribute): List of the chat generations
- [get_session_history](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/get_session_history.md) (attribute): Function that returns a new `BaseChatMessageHistory`
- [get_text_length](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/get_text_length.md) (attribute): Function to measure prompt length
- [GetSessionHistoryCallable](https://reference.langchain.com/python/langchain-core/runnables/history/GetSessionHistoryCallable.md) (attribute)
- [graph](https://reference.langchain.com/python/langchain-core/load/serializable/BaseSerialized/graph.md) (attribute): The graph of the object.
- [group_id](https://reference.langchain.com/python/langchain-core/indexing/base/_Record/group_id.md) (attribute)
- [GT](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/GT.md) (attribute)
- [GTE](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/GTE.md) (attribute)
- [h](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/VertexViewer/h.md) (attribute): Height of the box.
- [handle_tool_error](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/handle_tool_error.md) (attribute): Handle the content of the `ToolException` thrown.
- [handle_validation_error](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/handle_validation_error.md) (attribute): Handle the content of the `ValidationError` thrown.
- [handlers](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/handlers.md) (attribute)
- [handlers](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/handlers.md) (attribute)
- [HEIGHT](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/VertexViewer/HEIGHT.md) (attribute): Height of the box.
- [HERE](https://reference.langchain.com/python/langchain-core/_api/path/HERE.md) (attribute)
- [history_factory_config](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/history_factory_config.md) (attribute): Configure fields that should be passed to the chat history factory
- [history_messages_key](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/history_messages_key.md) (attribute): Must be specified if the base `Runnable` accepts a `dict` as input and expects a separate key for historical messages.
- [i](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeListLLM/i.md) (attribute): Internally incremented after every model invocation
- [i](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeMessagesListChatModel/i.md) (attribute): Internally incremented after every model invocation.
- [i](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel/i.md) (attribute): Internally incremented after every model invocation.
- [id](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCall/id.md) (attribute): An identifier associated with the tool call
- [id](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCallChunk/id.md) (attribute): An identifier associated with the tool call
- [id](https://reference.langchain.com/python/langchain-core/messages/content/Citation/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardAnnotation/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall/id.md) (attribute): An identifier associated with the tool call
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk/id.md) (attribute): An identifier associated with the tool call
- [id](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/id.md) (attribute): An identifier associated with the tool call
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall/id.md) (attribute): An identifier associated with the tool call.
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk/id.md) (attribute): Unique identifier for this server tool call chunk
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/id.md) (attribute): Unique identifier for this server tool result
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ReasoningContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardContentBlock/id.md) (attribute): Unique identifier for this content block
- [id](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/id.md) (attribute): An optional unique identifier for the message
- [id](https://reference.langchain.com/python/langchain-core/load/serializable/BaseSerialized/id.md) (attribute): The unique identifier of the object.
- [id](https://reference.langchain.com/python/langchain-core/runnables/graph/Node/id.md) (attribute): The unique identifier of the node.
- [id](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableField/id.md) (attribute): The unique identifier of the field.
- [id](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption/id.md) (attribute): The unique identifier of the field.
- [id](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption/id.md) (attribute): The unique identifier of the field.
- [id](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/id.md) (attribute): The unique identifier of the field.
- [id](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/id.md) (attribute): ID of the sub-run.
- [id](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState/id.md) (attribute): ID of the run.
- [id](https://reference.langchain.com/python/langchain-core/documents/base/BaseMedia/id.md) (attribute): An optional identifier for the document
- [ignore_agent](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_agent.md) (attribute): Whether to ignore agent callbacks.
- [ignore_chain](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_chain.md) (attribute): Whether to ignore chain callbacks.
- [ignore_chat_model](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_chat_model.md) (attribute): Whether to ignore chat model callbacks.
- [ignore_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_custom_event.md) (attribute): Ignore custom event.
- [ignore_llm](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_llm.md) (attribute): Whether to ignore LLM callbacks.
- [ignore_retriever](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_retriever.md) (attribute): Whether to ignore retriever callbacks.
- [ignore_retry](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/ignore_retry.md) (attribute): Whether to ignore retry callbacks.
- [ignore_unserializable_fields](https://reference.langchain.com/python/langchain-core/load/load/Reviver/ignore_unserializable_fields.md) (attribute)
- [image_inputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/image_inputs.md) (attribute): Whether image inputs are supported.
- [image_outputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/image_outputs.md) (attribute): Whether [image outputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [image_tool_message](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/image_tool_message.md) (attribute): Whether images can be included in tool messages.
- [image_url](https://reference.langchain.com/python/langchain-core/prompt_values/ImagePromptValue/image_url.md) (attribute): Image URL.
- [image_url](https://reference.langchain.com/python/langchain-core/prompts/chat/_ImageTemplateParam/image_url.md) (attribute)
- [image_url_inputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/image_url_inputs.md) (attribute): Whether [image URL inputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [import_mappings](https://reference.langchain.com/python/langchain-core/load/load/Reviver/import_mappings.md) (attribute)
- [IN](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/IN.md) (attribute)
- [include_names](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/include_names.md) (attribute)
- [include_names](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/include_names.md) (attribute)
- [include_tags](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/include_tags.md) (attribute)
- [include_tags](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/include_tags.md) (attribute)
- [include_types](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/include_types.md) (attribute)
- [include_types](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/include_types.md) (attribute)
- [index](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCallChunk/index.md) (attribute): The index of the tool call in a sequence
- [index](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk/index.md) (attribute): The index of the tool call in a sequence.
- [index](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ReasoningContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/index.md) (attribute): Index of block in aggregate response
- [index](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardContentBlock/index.md) (attribute): Index of block in aggregate response
- [inheritable_handlers](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/inheritable_handlers.md) (attribute)
- [inheritable_handlers](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/inheritable_handlers.md) (attribute)
- [inheritable_metadata](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/inheritable_metadata.md) (attribute)
- [inheritable_metadata](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/inheritable_metadata.md) (attribute)
- [inheritable_tags](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/inheritable_tags.md) (attribute)
- [inheritable_tags](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/inheritable_tags.md) (attribute)
- [init_validator](https://reference.langchain.com/python/langchain-core/load/load/Reviver/init_validator.md) (attribute)
- [initial](https://reference.langchain.com/python/langchain-core/runnables/retry/ExponentialJitterParams/initial.md) (attribute): Initial wait.
- [InitValidator](https://reference.langchain.com/python/langchain-core/load/load/InitValidator.md) (attribute): Type alias for a callable that validates kwargs during deserialization
- [inline_s3_urls](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/inline_s3_urls.md) (attribute)
- [input](https://reference.langchain.com/python/langchain-core/runnables/router/RouterInput/input.md) (attribute): The input to pass to the selected `Runnable`.
- [input](https://reference.langchain.com/python/langchain-core/runnables/schema/EventData/input.md) (attribute): The input passed to the `Runnable` that generated the event
- [Input](https://reference.langchain.com/python/langchain-core/runnables/utils/Input.md) (attribute)
- [input_keys](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/input_keys.md) (attribute): Optional keys to filter input to
- [input_messages_key](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/input_messages_key.md) (attribute): Must be specified if the base `Runnable` accepts a `dict` as input
- [input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/input_schema.md) (attribute): The type of input this `Runnable` accepts specified as a Pydantic model.
- [input_token_details](https://reference.langchain.com/python/langchain-core/messages/ai/UsageMetadata/input_token_details.md) (attribute): Breakdown of input token counts
- [input_tokens](https://reference.langchain.com/python/langchain-core/messages/ai/UsageMetadata/input_tokens.md) (attribute): Count of input (or prompt) tokens
- [input_type](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/input_type.md) (attribute)
- [input_types](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/input_types.md) (attribute): A dictionary of the types of the variables the prompt template expects
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/input_variables.md) (attribute): Input variables for this prompt template.
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/input_variables.md) (attribute): A list of the names of the variables the prompt template will use to pass to the `example_selector`, if provided.
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/input_variables.md) (attribute): Template input variables.
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/input_variables.md) (attribute): A list of the names of the variables whose values are required as inputs to the prompt.
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder/input_variables.md) (attribute): Input variables for this prompt template.
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/input_variables.md) (attribute): Input variables for this prompt template.
- [input_variables](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/input_variables.md) (attribute): Input variables for this prompt template.
- [inputs](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/inputs.md) (attribute): Inputs to this run
- [inputs](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/inputs.md) (attribute): The inputs to the run.
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/InputType.md) (attribute)
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/InputType.md) (attribute)
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/InputType.md) (attribute)
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/InputType.md) (attribute): Input type
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/InputType.md) (attribute): The type of the input to the `Runnable`.
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/InputType.md) (attribute): The type of the input to the `Runnable`.
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/InputType.md) (attribute)
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/InputType.md) (attribute): The type of the input to this `Runnable`.
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/InputType.md) (attribute)
- [InputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/InputType.md) (attribute)
- [InputType](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseGenerationOutputParser/InputType.md) (attribute): Return the input type for the parser.
- [InputType](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/InputType.md) (attribute): Return the input type for the parser.
- [InputType](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/InputType.md) (attribute): Get the input type for this `Runnable`.
- [INVALID_PROMPT_INPUT](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/INVALID_PROMPT_INPUT.md) (attribute)
- [invalid_tool_calls](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/invalid_tool_calls.md) (attribute): If present, tool calls with parsing errors associated with the message.
- [INVALID_TOOL_RESULTS](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/INVALID_TOOL_RESULTS.md) (attribute)
- [is_async](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/is_async.md) (attribute): Return whether the handler is async.
- [is_async](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/is_async.md) (attribute): Whether the callback manager is async.
- [IS_PYDANTIC_V1](https://reference.langchain.com/python/langchain-core/utils/pydantic/IS_PYDANTIC_V1.md) (attribute)
- [IS_PYDANTIC_V2](https://reference.langchain.com/python/langchain-core/utils/pydantic/IS_PYDANTIC_V2.md) (attribute)
- [is_shared](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableField/is_shared.md) (attribute): Whether the field is shared.
- [is_shared](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption/is_shared.md) (attribute): Whether the field is shared.
- [is_shared](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption/is_shared.md) (attribute): Whether the field is shared.
- [is_shared](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/is_shared.md) (attribute): Whether the field is shared.
- [is_single_input](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/is_single_input.md) (attribute): Check if the tool accepts only a single input argument.
- [is_tapped](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/is_tapped.md) (attribute)
- [jitter](https://reference.langchain.com/python/langchain-core/runnables/retry/ExponentialJitterParams/jitter.md) (attribute): Random additional wait sampled from random.uniform(0, jitter).
- [JSON_FORMAT_INSTRUCTIONS](https://reference.langchain.com/python/langchain-core/output_parsers/format_instructions/JSON_FORMAT_INSTRUCTIONS.md) (attribute)
- [k](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/k.md) (attribute): Number of examples to select.
- [K](https://reference.langchain.com/python/langchain-core/stores/K.md) (attribute)
- [key](https://reference.langchain.com/python/langchain-core/runnables/router/RouterInput/key.md) (attribute): The key to route on.
- [key_name](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputKeyToolsParser/key_name.md) (attribute): The type of tools to return.
- [key_name](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonKeyOutputFunctionsParser/key_name.md) (attribute): The name of the key to return.
- [keys](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/keys.md) (attribute)
- [keys](https://reference.langchain.com/python/langchain-core/runnables/utils/IsLocalDict/keys.md) (attribute)
- [keys](https://reference.langchain.com/python/langchain-core/runnables/utils/IsFunctionArgDict/keys.md) (attribute)
- [KNOWN_BLOCK_TYPES](https://reference.langchain.com/python/langchain-core/messages/content/KNOWN_BLOCK_TYPES.md) (attribute): These are block types known to `langchain-core >= 1.0.0`
- [kwargs](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedConstructor/kwargs.md) (attribute): The constructor arguments.
- [kwargs](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/kwargs.md) (attribute): kwargs to pass to the underlying `Runnable` when running
- [labels](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/labels.md) (attribute)
- [LanguageModelLike](https://reference.langchain.com/python/langchain-core/language_models/base/LanguageModelLike.md) (attribute): Input/output interface for a language model.
- [LanguageModelOutputVar](https://reference.langchain.com/python/langchain-core/language_models/base/LanguageModelOutputVar.md) (attribute): Type variable for the output of a language model.
- [last](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/last.md) (attribute)
- [last](https://reference.langchain.com/python/langchain-core/runnables/graph/NodeStyles/last.md) (attribute)
- [last](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/last.md) (attribute): The last `Runnable` in the sequence.
- [last_updated](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/last_updated.md) (attribute): Date the model was last updated (ISO 8601 format).
- [latest_run](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/latest_run.md) (attribute)
- [lc](https://reference.langchain.com/python/langchain-core/load/serializable/BaseSerialized/lc.md) (attribute): The version of the serialization format.
- [lc_attributes](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/lc_attributes.md) (attribute): Attributes to be serialized
- [lc_attributes](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/lc_attributes.md) (attribute)
- [lc_attributes](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/lc_attributes.md) (attribute): List of attribute names that should be included in the serialized kwargs
- [lc_attributes](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/lc_attributes.md) (attribute)
- [lc_attributes](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/lc_attributes.md) (attribute)
- [LC_AUTO_PREFIX](https://reference.langchain.com/python/langchain-core/utils/utils/LC_AUTO_PREFIX.md) (attribute): LangChain auto-generated ID prefix for messages and content blocks.
- [LC_ID_PREFIX](https://reference.langchain.com/python/langchain-core/utils/utils/LC_ID_PREFIX.md) (attribute): Internal tracing/callback system identifier
- [lc_secrets](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/lc_secrets.md) (attribute): A map of constructor argument names to secret ids
- [LIKE](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/LIKE.md) (attribute)
- [limit](https://reference.langchain.com/python/langchain-core/structured_query/StructuredQuery/limit.md) (attribute): Limit on the number of results.
- [limit](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/limit.md) (attribute)
- [LINEAR](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/LINEAR.md) (attribute)
- [lines](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/lines.md) (attribute)
- [llm_output](https://reference.langchain.com/python/langchain-core/exceptions/OutputParserException/llm_output.md) (attribute)
- [llm_output](https://reference.langchain.com/python/langchain-core/outputs/llm_result/LLMResult/llm_output.md) (attribute): For arbitrary model provider-specific output
- [llm_output](https://reference.langchain.com/python/langchain-core/outputs/chat_result/ChatResult/llm_output.md) (attribute): For arbitrary model provider-specific output
- [loads](https://reference.langchain.com/python/langchain-core/runnables/utils/NonLocals/loads.md) (attribute)
- [LOCALHOST_NAMES](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/LOCALHOST_NAMES.md) (attribute)
- [lock](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/lock.md) (attribute)
- [lock](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/lock.md) (attribute)
- [log](https://reference.langchain.com/python/langchain-core/agents/AgentAction/log.md) (attribute): Additional information to log about the action
- [log](https://reference.langchain.com/python/langchain-core/agents/AgentFinish/log.md) (attribute): Additional information to log about the return value
- [log_missing_parent](https://reference.langchain.com/python/langchain-core/tracers/core/_TracerCore/log_missing_parent.md) (attribute)
- [log_missing_parent](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/RootListenersTracer/log_missing_parent.md) (attribute): Whether to log a warning if the parent is missing.
- [log_missing_parent](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/AsyncRootListenersTracer/log_missing_parent.md) (attribute): Whether to log a warning if the parent is missing.
- [logged_eval_results](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/logged_eval_results.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/messages/utils/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/messages/ai/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/load/serializable/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/prompts/loading/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/vectorstores/utils/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/vectorstores/base/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/tracers/core/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/tracers/evaluation/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/tracers/langchain/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/tracers/event_stream/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/tracers/base/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/utils/mustache/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/utils/html/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/utils/function_calling/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/callbacks/manager/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/language_models/model_profile/logger.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-core/language_models/llms/logger.md) (attribute)
- [logs](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState/logs.md) (attribute): Map of run names to sub-runs
- [ls_embedding_model](https://reference.langchain.com/python/langchain-core/retrievers/LangSmithRetrieverParams/ls_embedding_model.md) (attribute): Embedding model.
- [ls_embedding_provider](https://reference.langchain.com/python/langchain-core/retrievers/LangSmithRetrieverParams/ls_embedding_provider.md) (attribute): Embedding provider.
- [ls_integration](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_integration.md) (attribute): Integration that created the trace.
- [ls_max_tokens](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_max_tokens.md) (attribute): Max tokens for generation.
- [ls_model_name](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_model_name.md) (attribute): Name of the model.
- [ls_model_type](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_model_type.md) (attribute): Type of the model
- [ls_provider](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_provider.md) (attribute): Provider of the model.
- [ls_retriever_name](https://reference.langchain.com/python/langchain-core/retrievers/LangSmithRetrieverParams/ls_retriever_name.md) (attribute): Retriever name.
- [ls_stop](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_stop.md) (attribute): Stop words for generation.
- [ls_temperature](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams/ls_temperature.md) (attribute): Temperature for generation.
- [ls_vector_store_provider](https://reference.langchain.com/python/langchain-core/retrievers/LangSmithRetrieverParams/ls_vector_store_provider.md) (attribute): Vector store provider.
- [LT](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/LT.md) (attribute)
- [LTE](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/LTE.md) (attribute)
- [mapper](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/mapper.md) (attribute)
- [MARKDOWN_SPECIAL_CHARS](https://reference.langchain.com/python/langchain-core/runnables/graph_mermaid/MARKDOWN_SPECIAL_CHARS.md) (attribute)
- [max](https://reference.langchain.com/python/langchain-core/runnables/retry/ExponentialJitterParams/max.md) (attribute): Maximum wait.
- [max_attempt_number](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/max_attempt_number.md) (attribute): The maximum number of attempts to retry the Runnable.
- [max_bucket_size](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/max_bucket_size.md) (attribute)
- [max_concurrency](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/max_concurrency.md) (attribute): Maximum number of parallel calls to make
- [max_input_tokens](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/max_input_tokens.md) (attribute): Maximum context window (tokens)
- [max_length](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/max_length.md) (attribute): Max length for the prompt, beyond which examples are cut.
- [max_output_tokens](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/max_output_tokens.md) (attribute): Maximum output tokens
- [message](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGeneration/message.md) (attribute): The message output by the chat model.
- [message](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGenerationChunk/message.md) (attribute): The message chunk output by the chat model.
- [MESSAGE_COERCION_FAILURE](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/MESSAGE_COERCION_FAILURE.md) (attribute)
- [message_log](https://reference.langchain.com/python/langchain-core/agents/AgentActionMessageLog/message_log.md) (attribute): Similar to log, this can be used to pass along extra information about what exact messages were predicted by the LLM before parsing out the `(tool,...
- [MessagePromptTemplateT](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagePromptTemplateT.md) (attribute): Type variable for message prompt templates.
- [messages](https://reference.langchain.com/python/langchain-core/agents/AgentAction/messages.md) (attribute): Return the messages that correspond to this action.
- [messages](https://reference.langchain.com/python/langchain-core/agents/AgentStep/messages.md) (attribute): Messages that correspond to this observation.
- [messages](https://reference.langchain.com/python/langchain-core/agents/AgentFinish/messages.md) (attribute): Messages that correspond to this observation.
- [messages](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/messages.md) (attribute): A property or attribute that returns a list of messages
- [messages](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory/messages.md) (attribute): A list of messages stored in memory.
- [messages](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValue/messages.md) (attribute): List of messages.
- [messages](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValueConcrete/messages.md) (attribute): Sequence of messages.
- [messages](https://reference.langchain.com/python/langchain-core/chat_sessions/ChatSession/messages.md) (attribute): A sequence of the LangChain chat messages loaded from the source.
- [messages](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/messages.md) (attribute): List of messages consisting of either message prompt templates or messages.
- [messages](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/GenericFakeChatModel/messages.md) (attribute): Get an iterator over messages
- [metadata](https://reference.langchain.com/python/langchain-core/retrievers/BaseRetriever/metadata.md) (attribute): Optional metadata associated with the retriever
- [metadata](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/metadata.md) (attribute)
- [metadata](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/metadata.md) (attribute): Metadata to be used for tracing.
- [metadata](https://reference.langchain.com/python/langchain-core/runnables/graph/Node/metadata.md) (attribute): Optional metadata for the node.
- [metadata](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/metadata.md) (attribute): Metadata for this call and any sub-calls (e.g
- [metadata](https://reference.langchain.com/python/langchain-core/runnables/schema/BaseStreamEvent/metadata.md) (attribute): Metadata associated with the `Runnable` that generated this event
- [metadata](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/metadata.md) (attribute): Key-value pairs of metadata for the run.
- [metadata](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/metadata.md) (attribute): The metadata associated with the run.
- [metadata](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/metadata.md) (attribute): Optional metadata associated with the tool
- [metadata](https://reference.langchain.com/python/langchain-core/documents/base/BaseMedia/metadata.md) (attribute): Arbitrary metadata associated with the content.
- [metadata](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/metadata.md) (attribute)
- [metadata](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/metadata.md) (attribute)
- [metadata](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/metadata.md) (attribute): Metadata to add to the run trace.
- [middle](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/middle.md) (attribute): The middle `Runnable` in the sequence.
- [MILLISECONDS_IN_SECOND](https://reference.langchain.com/python/langchain-core/tracers/stdout/MILLISECONDS_IN_SECOND.md) (attribute)
- [mime_type](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/mime_type.md) (attribute): MIME type of the image
- [mime_type](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/mime_type.md) (attribute): MIME type of the video
- [mime_type](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/mime_type.md) (attribute): MIME type of the audio
- [mime_type](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/mime_type.md) (attribute): MIME type of the file
- [mime_type](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/mime_type.md) (attribute): MIME type of the file
- [mime_type](https://reference.langchain.com/python/langchain-core/language_models/_utils/ParsedDataUri/mime_type.md) (attribute)
- [mimetype](https://reference.langchain.com/python/langchain-core/documents/base/Blob/mimetype.md) (attribute): MIME type, not to be confused with a file extension.
- [mode](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/mode.md) (attribute)
- [MODEL_AUTHENTICATION](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/MODEL_AUTHENTICATION.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/retrievers/BaseRetriever/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/prompts/few_shot/_FewShotPromptTemplateMixin/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSerializable/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/documents/base/Blob/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/model_config.md) (attribute)
- [model_config](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/model_config.md) (attribute)
- [MODEL_NOT_FOUND](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/MODEL_NOT_FOUND.md) (attribute)
- [MODEL_RATE_LIMIT](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/MODEL_RATE_LIMIT.md) (attribute)
- [ModelProfileRegistry](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfileRegistry.md) (attribute): Registry mapping model identifiers or names to their ModelProfile.
- [MONOTONE_X](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/MONOTONE_X.md) (attribute)
- [MONOTONE_Y](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/MONOTONE_Y.md) (attribute)
- [n_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder/n_messages.md) (attribute): Maximum number of messages to include
- [name](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCall/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCallChunk/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk/name.md) (attribute): The name of the tool to be called.
- [name](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/name.md) (attribute): An optional name for the message
- [name](https://reference.langchain.com/python/langchain-core/messages/function/FunctionMessage/name.md) (attribute): The name of the function that was executed.
- [name](https://reference.langchain.com/python/langchain-core/load/serializable/BaseSerialized/name.md) (attribute): The name of the object.
- [name](https://reference.langchain.com/python/langchain-core/runnables/graph/Node/name.md) (attribute): The name of the node.
- [name](https://reference.langchain.com/python/langchain-core/runnables/utils/IsLocalDict/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableField/name.md) (attribute): The name of the field.
- [name](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption/name.md) (attribute): The name of the field.
- [name](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption/name.md) (attribute): The name of the field.
- [name](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec/name.md) (attribute): The name of the field.
- [name](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/name.md) (attribute): The name of the `Runnable`
- [name](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSerializable/name.md) (attribute): The name of the `Runnable`
- [name](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-core/runnables/schema/StandardStreamEvent/name.md) (attribute): The name of the `Runnable` that generated the event.
- [name](https://reference.langchain.com/python/langchain-core/runnables/schema/CustomStreamEvent/name.md) (attribute): User defined name for the event.
- [name](https://reference.langchain.com/python/langchain-core/tracers/stdout/FunctionCallbackHandler/name.md) (attribute): The name of the tracer
- [name](https://reference.langchain.com/python/langchain-core/tracers/stdout/ConsoleCallbackHandler/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/name.md) (attribute): Name of the object being run.
- [name](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState/name.md) (attribute): Name of the object being run.
- [name](https://reference.langchain.com/python/langchain-core/tracers/run_collector/RunCollectorCallbackHandler/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/name.md) (attribute): The name of the run.
- [name](https://reference.langchain.com/python/langchain-core/utils/function_calling/FunctionDescription/name.md) (attribute): The name of the function.
- [name](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/name.md) (attribute): The unique name of the tool that clearly communicates its purpose.
- [name](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/name.md) (attribute): Human-readable model name.
- [namespace](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/namespace.md) (attribute)
- [namespace](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/namespace.md) (attribute)
- [NAMESPACE_UUID](https://reference.langchain.com/python/langchain-core/indexing/api/NAMESPACE_UUID.md) (attribute)
- [NATURAL](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/NATURAL.md) (attribute)
- [NE](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/NE.md) (attribute)
- [NIN](https://reference.langchain.com/python/langchain-core/structured_query/Comparator/NIN.md) (attribute)
- [NO_DEFAULT](https://reference.langchain.com/python/langchain-core/utils/pydantic/NO_DEFAULT.md) (attribute)
- [nodes](https://reference.langchain.com/python/langchain-core/runnables/graph/LabelsDict/nodes.md) (attribute): Labels for nodes.
- [nodes](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/nodes.md) (attribute)
- [nonlocals](https://reference.langchain.com/python/langchain-core/runnables/utils/FunctionNonLocals/nonlocals.md) (attribute)
- [NOT](https://reference.langchain.com/python/langchain-core/structured_query/Operator/NOT.md) (attribute)
- [num_added](https://reference.langchain.com/python/langchain-core/indexing/api/IndexingResult/num_added.md) (attribute): Number of added documents.
- [num_deleted](https://reference.langchain.com/python/langchain-core/indexing/api/IndexingResult/num_deleted.md) (attribute): Number of deleted documents.
- [num_deleted](https://reference.langchain.com/python/langchain-core/indexing/base/DeleteResponse/num_deleted.md) (attribute): The number of items that were successfully deleted
- [num_failed](https://reference.langchain.com/python/langchain-core/indexing/base/DeleteResponse/num_failed.md) (attribute): The number of items that failed to be deleted.
- [num_skipped](https://reference.langchain.com/python/langchain-core/indexing/api/IndexingResult/num_skipped.md) (attribute): Number of skipped documents because they were already up to date.
- [num_updated](https://reference.langchain.com/python/langchain-core/indexing/api/IndexingResult/num_updated.md) (attribute): Number of updated documents because they were not up to date.
- [observation](https://reference.langchain.com/python/langchain-core/exceptions/OutputParserException/observation.md) (attribute)
- [observation](https://reference.langchain.com/python/langchain-core/agents/AgentStep/observation.md) (attribute): The result of the `AgentAction`.
- [offset](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/offset.md) (attribute)
- [OLD_CORE_NAMESPACES_MAPPING](https://reference.langchain.com/python/langchain-core/load/mapping/OLD_CORE_NAMESPACES_MAPPING.md) (attribute)
- [open_weights](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/open_weights.md) (attribute): Whether the model weights are openly available.
- [operator](https://reference.langchain.com/python/langchain-core/structured_query/Operation/operator.md) (attribute): The operator to use.
- [ops](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunLogPatch/ops.md) (attribute): List of `JSONPatch` operations, which describe how to create the run state from an empty dict
- [optional](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder/optional.md) (attribute): Whether `format_messages` must be provided
- [optional_variables](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/optional_variables.md) (attribute): A list of the names of the variables for placeholder or `MessagePlaceholder` that are optional
- [options](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption/options.md) (attribute): The options for the field.
- [options](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption/options.md) (attribute): The options for the field.
- [OR](https://reference.langchain.com/python/langchain-core/structured_query/Operator/OR.md) (attribute)
- [order_map](https://reference.langchain.com/python/langchain-core/tracers/core/_TracerCore/order_map.md) (attribute): Map of run ID to (trace_id, dotted_order)
- [Other](https://reference.langchain.com/python/langchain-core/runnables/base/Other.md) (attribute)
- [output](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/output.md) (attribute): Output of the executed tool.
- [output](https://reference.langchain.com/python/langchain-core/runnables/schema/EventData/output.md) (attribute): The output of the `Runnable` that generated the event
- [Output](https://reference.langchain.com/python/langchain-core/runnables/utils/Output.md) (attribute)
- [output_messages_key](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/output_messages_key.md) (attribute): Must be specified if the base `Runnable` returns a `dict` as output
- [output_parser](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/output_parser.md) (attribute): How to parse the output of calling an LLM on this formatted prompt.
- [OUTPUT_PARSING_FAILURE](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode/OUTPUT_PARSING_FAILURE.md) (attribute)
- [output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/output_schema.md) (attribute): Output schema
- [output_token_details](https://reference.langchain.com/python/langchain-core/messages/ai/UsageMetadata/output_token_details.md) (attribute): Breakdown of output token counts
- [output_tokens](https://reference.langchain.com/python/langchain-core/messages/ai/UsageMetadata/output_tokens.md) (attribute): Count of output (or completion) tokens
- [output_version](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/output_version.md) (attribute): Version of `AIMessage` output format to store in message content
- [OutputParserLike](https://reference.langchain.com/python/langchain-core/output_parsers/base/OutputParserLike.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/OutputType.md) (attribute): Return the output type of the prompt.
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/OutputType.md) (attribute): Output Type
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/OutputType.md) (attribute): The type of the output of the `Runnable`.
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/OutputType.md) (attribute): The type of the output of this `Runnable` as a type annotation.
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/OutputType.md) (attribute)
- [OutputType](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic/PydanticOutputParser/OutputType.md) (attribute): Return the Pydantic model.
- [OutputType](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseGenerationOutputParser/OutputType.md) (attribute): Return the output type for the parser.
- [OutputType](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/OutputType.md) (attribute): Return the output type for the parser
- [OutputType](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/OutputType.md) (attribute): Get the output type for this `Runnable`.
- [OutputType](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/OutputType.md) (attribute): Get the output type for this `Runnable`.
- [P](https://reference.langchain.com/python/langchain-core/runnables/config/P.md) (attribute)
- [PACKAGE_DIR](https://reference.langchain.com/python/langchain-core/_api/path/PACKAGE_DIR.md) (attribute)
- [page_content](https://reference.langchain.com/python/langchain-core/documents/base/Document/page_content.md) (attribute): String text.
- [parameters](https://reference.langchain.com/python/langchain-core/utils/function_calling/FunctionDescription/parameters.md) (attribute): The parameters of the function.
- [parent_ids](https://reference.langchain.com/python/langchain-core/runnables/schema/BaseStreamEvent/parent_ids.md) (attribute): A list of the parent IDs associated with this event
- [parent_map](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/parent_map.md) (attribute)
- [parent_run_id](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/parent_run_id.md) (attribute): The ID of the parent run.
- [parent_run_id](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/parent_run_id.md) (attribute)
- [parent_run_id](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/parent_run_id.md) (attribute)
- [parent_run_manager](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup/parent_run_manager.md) (attribute)
- [parent_run_manager](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup/parent_run_manager.md) (attribute)
- [parser](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XMLOutputParser/parser.md) (attribute): Parser to use for XML parsing
- [partial_variables](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/partial_variables.md) (attribute): A dictionary of the partial variables the prompt template carries
- [path](https://reference.langchain.com/python/langchain-core/documents/base/Blob/path.md) (attribute): Location where the original content was found.
- [pattern](https://reference.langchain.com/python/langchain-core/output_parsers/list/NumberedListOutputParser/pattern.md) (attribute): The pattern to match a numbered list item.
- [pattern](https://reference.langchain.com/python/langchain-core/output_parsers/list/MarkdownListOutputParser/pattern.md) (attribute): The pattern to match a Markdown list item.
- [pdf_inputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/pdf_inputs.md) (attribute): Whether [PDF inputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [pdf_tool_message](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/pdf_tool_message.md) (attribute): Whether PDFs can be included in tool messages.
- [prefix](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/prefix.md) (attribute): A prompt template string to put before the examples.
- [prefix](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/prefix.md) (attribute): A `PromptTemplate` to put before the examples.
- [prefix_keys](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives/prefix_keys.md) (attribute): Whether to prefix configurable fields of each alternative with a namespace of the form <which.id>==<alternative_key>, e.g
- [PREFIXES_TO_IGNORE](https://reference.langchain.com/python/langchain-core/utils/html/PREFIXES_TO_IGNORE.md) (attribute)
- [PREFIXES_TO_IGNORE_REGEX](https://reference.langchain.com/python/langchain-core/utils/html/PREFIXES_TO_IGNORE_REGEX.md) (attribute)
- [PRIVATE_IP_RANGES](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/PRIVATE_IP_RANGES.md) (attribute)
- [profile](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/profile.md) (attribute): Profile detailing model capabilities
- [project_name](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/project_name.md) (attribute): The LangSmith project name to be organize eval chain runs under.
- [project_name](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/project_name.md) (attribute)
- [prompt](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/prompt.md) (attribute): String prompt template.
- [prompt](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/prompt.md) (attribute): Prompt template.
- [PromptTemplateFormat](https://reference.langchain.com/python/langchain-core/prompts/string/PromptTemplateFormat.md) (attribute)
- [PROVIDER_TRANSLATORS](https://reference.langchain.com/python/langchain-core/messages/block_translators/PROVIDER_TRANSLATORS.md) (attribute): Map model provider names to translator functions
- [pts](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/_EdgeViewer/pts.md) (attribute)
- [pull_parser](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/pull_parser.md) (attribute)
- [PYDANTIC_MAJOR_VERSION](https://reference.langchain.com/python/langchain-core/utils/pydantic/PYDANTIC_MAJOR_VERSION.md) (attribute)
- [PYDANTIC_MINOR_VERSION](https://reference.langchain.com/python/langchain-core/utils/pydantic/PYDANTIC_MINOR_VERSION.md) (attribute)
- [pydantic_object](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic/PydanticOutputParser/pydantic_object.md) (attribute): The Pydantic model to parse.
- [pydantic_object](https://reference.langchain.com/python/langchain-core/output_parsers/json/JsonOutputParser/pydantic_object.md) (attribute): The Pydantic object to use for validation
- [pydantic_schema](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticOutputFunctionsParser/pydantic_schema.md) (attribute): The Pydantic schema to parse the output with
- [PYDANTIC_VERSION](https://reference.langchain.com/python/langchain-core/utils/pydantic/PYDANTIC_VERSION.md) (attribute)
- [PydanticBaseModel](https://reference.langchain.com/python/langchain-core/utils/pydantic/PydanticBaseModel.md) (attribute)
- [PYPPETEER](https://reference.langchain.com/python/langchain-core/runnables/graph/MermaidDrawMethod/PYPPETEER.md) (attribute): Uses Pyppeteer to render the graph
- [PYTHON_TO_JSON_TYPES](https://reference.langchain.com/python/langchain-core/utils/function_calling/PYTHON_TO_JSON_TYPES.md) (attribute)
- [query](https://reference.langchain.com/python/langchain-core/structured_query/StructuredQuery/query.md) (attribute): Query string.
- [query](https://reference.langchain.com/python/langchain-core/tools/retriever/RetrieverInput/query.md) (attribute)
- [raise_error](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/raise_error.md) (attribute): Whether to raise an error if an exception occurs.
- [rate_limiter](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/rate_limiter.md) (attribute): An optional rate limiter to use for limiting the number of requests.
- [reasoning](https://reference.langchain.com/python/langchain-core/messages/content/ReasoningContentBlock/reasoning.md) (attribute): Reasoning text
- [reasoning](https://reference.langchain.com/python/langchain-core/messages/ai/OutputTokenDetails/reasoning.md) (attribute): Reasoning output tokens
- [reasoning_output](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/reasoning_output.md) (attribute): Whether the model supports [reasoning / chain-of-thought](https://docs.langchain.com/oss/python/langchain/models#reasoning)
- [receive_stream](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/receive_stream.md) (attribute)
- [receive_stream](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/receive_stream.md) (attribute)
- [records](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/records.md) (attribute)
- [recursion_limit](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/recursion_limit.md) (attribute): Maximum number of times a call can recurse
- [release_date](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/release_date.md) (attribute): Model release date (ISO 8601 format, e.g., `'2025-06-01'`).
- [repr](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedNotImplemented/repr.md) (attribute): The representation of the object.
- [requests_per_second](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/requests_per_second.md) (attribute)
- [response_format](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/response_format.md) (attribute): The tool response format
- [response_metadata](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/response_metadata.md) (attribute): Currently inherited from `BaseMessage`, but not used.
- [response_metadata](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/response_metadata.md) (attribute): Examples: response headers, logprobs, token counts, model name.
- [responses](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeListLLM/responses.md) (attribute): List of responses to return in order.
- [responses](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeMessagesListChatModel/responses.md) (attribute): List of responses to **cycle** through in order.
- [responses](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel/responses.md) (attribute): List of responses to **cycle** through in order.
- [RetrieverInput](https://reference.langchain.com/python/langchain-core/retrievers/RetrieverInput.md) (attribute)
- [RetrieverLike](https://reference.langchain.com/python/langchain-core/retrievers/RetrieverLike.md) (attribute)
- [RetrieverOutput](https://reference.langchain.com/python/langchain-core/retrievers/RetrieverOutput.md) (attribute)
- [RetrieverOutputLike](https://reference.langchain.com/python/langchain-core/retrievers/RetrieverOutputLike.md) (attribute)
- [retry_exception_types](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/retry_exception_types.md) (attribute): The exception types to retry on
- [return_direct](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/return_direct.md) (attribute): Whether to return the tool's output directly
- [return_id](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputToolsParser/return_id.md) (attribute): Whether to return the tool call id.
- [RETURN_VAL_TYPE](https://reference.langchain.com/python/langchain-core/caches/RETURN_VAL_TYPE.md) (attribute)
- [return_values](https://reference.langchain.com/python/langchain-core/agents/AgentFinish/return_values.md) (attribute): Dictionary of return values.
- [role](https://reference.langchain.com/python/langchain-core/messages/chat/ChatMessage/role.md) (attribute): The speaker / role of the Message.
- [role](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatMessagePromptTemplate/role.md) (attribute): Role of the message.
- [root_event_filter](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/root_event_filter.md) (attribute)
- [root_id](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/root_id.md) (attribute)
- [root_id](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/RootListenersTracer/root_id.md) (attribute)
- [root_id](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/AsyncRootListenersTracer/root_id.md) (attribute)
- [run](https://reference.langchain.com/python/langchain-core/outputs/llm_result/LLMResult/run.md) (attribute): List of metadata info for model call for each input
- [Run](https://reference.langchain.com/python/langchain-core/tracers/schemas/Run.md) (attribute)
- [run_collector_var](https://reference.langchain.com/python/langchain-core/tracers/context/run_collector_var.md) (attribute)
- [run_has_token_event_map](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/run_has_token_event_map.md) (attribute)
- [run_id](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/run_id.md) (attribute): Unique identifier for the tracer run for this call
- [run_id](https://reference.langchain.com/python/langchain-core/runnables/schema/BaseStreamEvent/run_id.md) (attribute): An randomly generated ID to keep track of the execution of the given `Runnable`
- [run_id](https://reference.langchain.com/python/langchain-core/outputs/run_info/RunInfo/run_id.md) (attribute): A unique identifier for the model or chain run.
- [run_id](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/run_id.md) (attribute)
- [run_inline](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/run_inline.md) (attribute)
- [run_inline](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler/run_inline.md) (attribute): Whether to run the callback inline.
- [run_map](https://reference.langchain.com/python/langchain-core/tracers/core/_TracerCore/run_map.md) (attribute): Map of run ID to run
- [run_map](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/run_map.md) (attribute)
- [run_name](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/run_name.md) (attribute): Name for the tracer run for this call
- [run_type](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/run_type.md) (attribute): The type of the run.
- [runnable](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/runnable.md) (attribute): The `Runnable` to run first.
- [RunnableMap](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableMap.md) (attribute)
- [runnables](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/runnables.md) (attribute): Iterator over the `Runnable` and its fallbacks.
- [runnables](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/runnables.md) (attribute)
- [safetee](https://reference.langchain.com/python/langchain-core/utils/iter/safetee.md) (attribute)
- [schema_](https://reference.langchain.com/python/langchain-core/prompts/structured/StructuredPrompt/schema_.md) (attribute): Schema for the structured prompt.
- [SCHEMA_FORMAT_TYPE](https://reference.langchain.com/python/langchain-core/tracers/core/SCHEMA_FORMAT_TYPE.md) (attribute)
- [search_kwargs](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/search_kwargs.md) (attribute): Keyword arguments to pass to the search function.
- [search_type](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/search_type.md) (attribute): Type of search to perform.
- [secrets_from_env](https://reference.langchain.com/python/langchain-core/load/load/Reviver/secrets_from_env.md) (attribute)
- [secrets_map](https://reference.langchain.com/python/langchain-core/load/load/Reviver/secrets_map.md) (attribute)
- [send_stream](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/send_stream.md) (attribute)
- [send_stream](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/send_stream.md) (attribute)
- [send_to_llm](https://reference.langchain.com/python/langchain-core/exceptions/OutputParserException/send_to_llm.md) (attribute)
- [SEPARATOR](https://reference.langchain.com/python/langchain-core/_api/path/SEPARATOR.md) (attribute)
- [SERIALIZABLE_MAPPING](https://reference.langchain.com/python/langchain-core/load/mapping/SERIALIZABLE_MAPPING.md) (attribute)
- [SimpleJsonOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/json/SimpleJsonOutputParser.md) (attribute)
- [size](https://reference.langchain.com/python/langchain-core/embeddings/fake/FakeEmbeddings/size.md) (attribute): The size of the embedding vector.
- [size](https://reference.langchain.com/python/langchain-core/embeddings/fake/DeterministicFakeEmbedding/size.md) (attribute): The size of the embedding vector.
- [skip_unfinished](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/skip_unfinished.md) (attribute): Whether to skip runs that are not finished or raised an error.
- [sleep](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeListLLM/sleep.md) (attribute): Sleep time in seconds between responses
- [sleep](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeMessagesListChatModel/sleep.md) (attribute): Sleep time in seconds between responses.
- [sleep](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel/sleep.md) (attribute)
- [source](https://reference.langchain.com/python/langchain-core/runnables/graph/Edge/source.md) (attribute): The source node id.
- [source](https://reference.langchain.com/python/langchain-core/runnables/utils/GetLambdaSource/source.md) (attribute)
- [source](https://reference.langchain.com/python/langchain-core/documents/base/Blob/source.md) (attribute): The source location of the blob as string if known otherwise none
- [source_type](https://reference.langchain.com/python/langchain-core/language_models/_utils/ParsedDataUri/source_type.md) (attribute)
- [splits](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/splits.md) (attribute)
- [SSRFProtectedHttpsUrl](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/SSRFProtectedHttpsUrl.md) (attribute): A Pydantic HttpUrl with SSRF protection that only allows HTTPS
- [SSRFProtectedHttpsUrlStr](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/SSRFProtectedHttpsUrlStr.md) (attribute): A string type with SSRF protection that only allows HTTPS URLs
- [SSRFProtectedUrl](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/SSRFProtectedUrl.md) (attribute): A Pydantic HttpUrl type with built-in SSRF protection
- [SSRFProtectedUrlRelaxed](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/SSRFProtectedUrlRelaxed.md) (attribute): A Pydantic HttpUrl with relaxed SSRF protection (allows private IPs)
- [start_index](https://reference.langchain.com/python/langchain-core/messages/content/Citation/start_index.md) (attribute): Start index of the **response text** (`TextContentBlock.text`).
- [start_time](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/start_time.md) (attribute): ISO-8601 timestamp of when the run started.
- [state](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunLog/state.md) (attribute): Current state of the log, obtained from applying all ops in sequence.
- [status](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/status.md) (attribute): Status of the tool invocation.
- [status](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/status.md) (attribute): Execution status of the server-side tool.
- [status](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/status.md) (attribute): Model status (e.g., `'active'`, `'deprecated'`).
- [STEP](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/STEP.md) (attribute)
- [STEP_AFTER](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/STEP_AFTER.md) (attribute)
- [STEP_BEFORE](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle/STEP_BEFORE.md) (attribute)
- [steps](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/steps.md) (attribute): All the `Runnable`s that make up the sequence in order.
- [steps__](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/steps__.md) (attribute)
- [store](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/store.md) (attribute)
- [store](https://reference.langchain.com/python/langchain-core/indexing/in_memory/InMemoryDocumentIndex/store.md) (attribute)
- [store](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/store.md) (attribute)
- [stores](https://reference.langchain.com/python/langchain-core/runnables/utils/NonLocals/stores.md) (attribute)
- [streamed_output](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/streamed_output.md) (attribute): List of output chunks streamed by this run, if available.
- [streamed_output](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState/streamed_output.md) (attribute): List of output chunks streamed by `Runnable.stream()`
- [streamed_output_str](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/streamed_output_str.md) (attribute): List of LLM tokens streamed by this run, if applicable.
- [strict](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputToolsParser/strict.md) (attribute): Whether to allow non-JSON-compliant strings
- [strict](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonOutputFunctionsParser/strict.md) (attribute): Whether to allow non-JSON-compliant strings
- [structured_output](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/structured_output.md) (attribute): Whether the model supports a native [structured output](https://docs.langchain.com/oss/python/langchain/models#structured-outputs) feature
- [structured_output_kwargs](https://reference.langchain.com/python/langchain-core/prompts/structured/StructuredPrompt/structured_output_kwargs.md) (attribute)
- [succeeded](https://reference.langchain.com/python/langchain-core/indexing/base/UpsertResponse/succeeded.md) (attribute): The IDs that were successfully indexed.
- [succeeded](https://reference.langchain.com/python/langchain-core/indexing/base/DeleteResponse/succeeded.md) (attribute): The IDs that were successfully deleted
- [suffix](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/suffix.md) (attribute): A prompt template string to put after the examples.
- [suffix](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/suffix.md) (attribute): A `PromptTemplate` to put after the examples.
- [SUFFIXES_TO_IGNORE](https://reference.langchain.com/python/langchain-core/utils/html/SUFFIXES_TO_IGNORE.md) (attribute)
- [SUFFIXES_TO_IGNORE_REGEX](https://reference.langchain.com/python/langchain-core/utils/html/SUFFIXES_TO_IGNORE_REGEX.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/indexing/api/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/runnables/config/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/runnables/retry/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/tracers/log_stream/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/tracers/_compat/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/tracers/_streaming/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/tracers/event_stream/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/utils/aiter/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/utils/iter/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/callbacks/manager/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/_api/beta_decorator/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/_api/deprecation/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/output_parsers/base/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/output_parsers/list/T.md) (attribute)
- [T](https://reference.langchain.com/python/langchain-core/language_models/_utils/T.md) (attribute)
- [tags](https://reference.langchain.com/python/langchain-core/retrievers/BaseRetriever/tags.md) (attribute): Optional list of tags associated with the retriever
- [tags](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/tags.md) (attribute): Tags to be used for tracing.
- [tags](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig/tags.md) (attribute): Tags for this call and any sub-calls (e.g
- [tags](https://reference.langchain.com/python/langchain-core/runnables/schema/BaseStreamEvent/tags.md) (attribute): Tags associated with the `Runnable` that generated this event
- [tags](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/tags.md) (attribute): List of tags for the run.
- [tags](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/tags.md) (attribute)
- [tags](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/tags.md) (attribute): The tags associated with the run.
- [tags](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/tags.md) (attribute): Optional list of tags associated with the tool
- [tags](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/tags.md) (attribute)
- [tags](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/tags.md) (attribute)
- [tags](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XMLOutputParser/tags.md) (attribute): Tags to tell the LLM to expect in the XML output
- [tags](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/tags.md) (attribute): Tags to add to the run trace.
- [target](https://reference.langchain.com/python/langchain-core/runnables/graph/Edge/target.md) (attribute): The target node id.
- [TBaseModel](https://reference.langchain.com/python/langchain-core/utils/pydantic/TBaseModel.md) (attribute)
- [TBaseModel](https://reference.langchain.com/python/langchain-core/output_parsers/json/TBaseModel.md) (attribute)
- [temperature](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/temperature.md) (attribute): Whether the model supports a temperature parameter.
- [template](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/template.md) (attribute): The prompt template.
- [template](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/template.md) (attribute)
- [template](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/template.md) (attribute): Template for the prompt.
- [template_format](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/template_format.md) (attribute): The format of the prompt template
- [template_format](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/template_format.md) (attribute): The format of the prompt template
- [template_format](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/template_format.md) (attribute)
- [template_format](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/template_format.md) (attribute): The format of the prompt template
- [template_format](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/template_format.md) (attribute): The format of the prompt template
- [text](https://reference.langchain.com/python/langchain-core/prompt_values/StringPromptValue/text.md) (attribute): Prompt text.
- [text](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock/text.md) (attribute): Block text.
- [text](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/text.md) (attribute): Plaintext content
- [text](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/text.md) (attribute): Get the text content of the message as a string
- [text](https://reference.langchain.com/python/langchain-core/prompts/chat/_TextTemplateParam/text.md) (attribute)
- [text](https://reference.langchain.com/python/langchain-core/outputs/generation/Generation/text.md) (attribute): Generated text output.
- [text](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGeneration/text.md) (attribute): The text contents of the output message
- [text_inputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/text_inputs.md) (attribute): Whether text inputs are supported.
- [text_outputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/text_outputs.md) (attribute): Whether text outputs are supported.
- [thing](https://reference.langchain.com/python/langchain-core/utils/aiter/aclosing/thing.md) (attribute)
- [TIMEOUT](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/TIMEOUT.md) (attribute)
- [title](https://reference.langchain.com/python/langchain-core/messages/content/Citation/title.md) (attribute): Source document title
- [title](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/title.md) (attribute): Title of the text data, e.g., the title of a document.
- [tool](https://reference.langchain.com/python/langchain-core/agents/AgentAction/tool.md) (attribute): The name of the `Tool` to execute.
- [tool_call_chunks](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/tool_call_chunks.md) (attribute): If provided, tool call chunks associated with the message.
- [tool_call_id](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/tool_call_id.md) (attribute): Tool call that this message is responding to.
- [tool_call_id](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/tool_call_id.md) (attribute): ID of the corresponding server tool call.
- [tool_call_id](https://reference.langchain.com/python/langchain-core/runnables/schema/EventData/tool_call_id.md) (attribute): The tool call ID associated with the tool execution
- [tool_call_id](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo/tool_call_id.md) (attribute): The tool call ID associated with the run.
- [tool_call_schema](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/tool_call_schema.md) (attribute): Get the schema for tool calls, excluding injected arguments.
- [tool_calling](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/tool_calling.md) (attribute): Whether the model supports [tool calling](https://docs.langchain.com/oss/python/langchain/models#tool-calling)
- [tool_calls](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/tool_calls.md) (attribute): If present, tool calls associated with the message.
- [tool_choice](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/tool_choice.md) (attribute): Whether the model supports [tool choice](https://docs.langchain.com/oss/python/langchain/models#forcing-tool-calls)
- [tool_input](https://reference.langchain.com/python/langchain-core/agents/AgentAction/tool_input.md) (attribute): The input to pass in to the `Tool`.
- [TOOL_MESSAGE_BLOCK_TYPES](https://reference.langchain.com/python/langchain-core/tools/base/TOOL_MESSAGE_BLOCK_TYPES.md) (attribute)
- [tools](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/PydanticToolsParser/tools.md) (attribute): The tools to parse.
- [ToolsRenderer](https://reference.langchain.com/python/langchain-core/tools/render/ToolsRenderer.md) (attribute)
- [top_k](https://reference.langchain.com/python/langchain-core/indexing/in_memory/InMemoryDocumentIndex/top_k.md) (attribute)
- [total_tokens](https://reference.langchain.com/python/langchain-core/messages/ai/UsageMetadata/total_tokens.md) (attribute): Total token count
- [traced_runs](https://reference.langchain.com/python/langchain-core/tracers/run_collector/RunCollectorCallbackHandler/traced_runs.md) (attribute)
- [tracing_callback_var](https://reference.langchain.com/python/langchain-core/tracers/context/tracing_callback_var.md) (attribute)
- [tracing_v2_callback_var](https://reference.langchain.com/python/langchain-core/tracers/context/tracing_v2_callback_var.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/agents/AgentAction/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/agents/AgentActionMessageLog/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/agents/AgentFinish/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/prompt_values/StringPromptValue/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/prompt_values/ImagePromptValue/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValueConcrete/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessageChunk/type.md) (attribute)
- [type](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCall/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCallChunk/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/Citation/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardAnnotation/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk/type.md) (attribute): Used for serialization.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult/type.md) (attribute): Used for discrimination.
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ReasoningContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardContentBlock/type.md) (attribute): Type of the content block
- [type](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/type.md) (attribute): The type of the message (used for deserialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/type.md) (attribute): The type of the message (used for deserialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/human/HumanMessage/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/human/HumanMessageChunk/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/modifier/RemoveMessage/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/system/SystemMessage/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/system/SystemMessageChunk/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/type.md) (attribute): The type of the message
- [type](https://reference.langchain.com/python/langchain-core/messages/chat/ChatMessage/type.md) (attribute): The type of the message (used during serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/chat/ChatMessageChunk/type.md) (attribute): The type of the message (used during serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/function/FunctionMessage/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/messages/function/FunctionMessageChunk/type.md) (attribute): The type of the message (used for serialization).
- [type](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedConstructor/type.md) (attribute): The type of the object
- [type](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedSecret/type.md) (attribute): The type of the object
- [type](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedNotImplemented/type.md) (attribute): The type of the object
- [type](https://reference.langchain.com/python/langchain-core/outputs/llm_result/LLMResult/type.md) (attribute): Type is used exclusively for serialization purposes.
- [type](https://reference.langchain.com/python/langchain-core/outputs/generation/Generation/type.md) (attribute): Type is used exclusively for serialization purposes
- [type](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGeneration/type.md) (attribute): Type is used exclusively for serialization purposes.
- [type](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGenerationChunk/type.md) (attribute): Type is used exclusively for serialization purposes.
- [type](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry/type.md) (attribute): Type of the object being run, eg
- [type](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState/type.md) (attribute): Type of the object being run, e.g
- [type](https://reference.langchain.com/python/langchain-core/utils/function_calling/ToolDescription/type.md) (attribute): The type of the tool.
- [type](https://reference.langchain.com/python/langchain-core/documents/base/Document/type.md) (attribute)
- [type_to_loader_dict](https://reference.langchain.com/python/langchain-core/prompts/loading/type_to_loader_dict.md) (attribute)
- [TypeBaseModel](https://reference.langchain.com/python/langchain-core/utils/pydantic/TypeBaseModel.md) (attribute)
- [U](https://reference.langchain.com/python/langchain-core/runnables/retry/U.md) (attribute)
- [updated_at](https://reference.langchain.com/python/langchain-core/indexing/base/_Record/updated_at.md) (attribute)
- [url](https://reference.langchain.com/python/langchain-core/prompt_values/ImageURL/url.md) (attribute): URL of the image or base64-encoded image data.
- [url](https://reference.langchain.com/python/langchain-core/messages/content/Citation/url.md) (attribute): URL of the document source.
- [url](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock/url.md) (attribute): URL of the image.
- [url](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock/url.md) (attribute): URL of the video.
- [url](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock/url.md) (attribute): URL of the audio.
- [url](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock/url.md) (attribute): URL of the plaintext.
- [url](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock/url.md) (attribute): URL of the file.
- [URL_BASE](https://reference.langchain.com/python/langchain-core/prompts/loading/URL_BASE.md) (attribute)
- [usage_metadata](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/usage_metadata.md) (attribute): If present, usage metadata for a message, such as token counts
- [usage_metadata](https://reference.langchain.com/python/langchain-core/callbacks/usage/UsageMetadataCallbackHandler/usage_metadata.md) (attribute)
- [V](https://reference.langchain.com/python/langchain-core/stores/V.md) (attribute)
- [valid_namespaces](https://reference.langchain.com/python/langchain-core/load/load/Reviver/valid_namespaces.md) (attribute)
- [validate_template](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/validate_template.md) (attribute): Whether or not to try validating the template.
- [validate_template](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/validate_template.md) (attribute): Whether or not to try validating the template.
- [validate_template](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/validate_template.md) (attribute): Whether or not to try validating the template.
- [validate_template](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/validate_template.md) (attribute): Whether or not to try validating the template.
- [value](https://reference.langchain.com/python/langchain-core/structured_query/Comparison/value.md) (attribute): The value to compare to.
- [value](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardAnnotation/value.md) (attribute): Provider-specific annotation data.
- [value](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardContentBlock/value.md) (attribute): Provider-specific content data.
- [var_child_runnable_config](https://reference.langchain.com/python/langchain-core/runnables/config/var_child_runnable_config.md) (attribute)
- [variable_name](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder/variable_name.md) (attribute): Name of variable to use as messages.
- [vectorstore](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/vectorstore.md) (attribute): VectorStore to use for retrieval.
- [vectorstore](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/vectorstore.md) (attribute): VectorStore that contains information about examples.
- [vectorstore_kwargs](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/vectorstore_kwargs.md) (attribute): Extra arguments passed to similarity_search function of the `VectorStore`.
- [verbose](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/verbose.md) (attribute): Whether to log the tool's progress.
- [verbose](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/verbose.md) (attribute): Whether to print out response text.
- [VERSION](https://reference.langchain.com/python/langchain-core/version/VERSION.md) (attribute)
- [video_inputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/video_inputs.md) (attribute): Whether [video inputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [video_outputs](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile/video_outputs.md) (attribute): Whether [video outputs](https://docs.langchain.com/oss/python/langchain/models#multimodal) are supported.
- [VST](https://reference.langchain.com/python/langchain-core/vectorstores/base/VST.md) (attribute)
- [w](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/VertexViewer/w.md) (attribute): Width of the box.
- [wait_exponential_jitter](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/wait_exponential_jitter.md) (attribute): Whether to add jitter to the exponential backoff.
- [which](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives/which.md) (attribute): The `ConfigurableField` to use to choose between alternatives.
- [XML_FORMAT_INSTRUCTIONS](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XML_FORMAT_INSTRUCTIONS.md) (attribute)
- [xml_start_re](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/xml_start_re.md) (attribute)
- [xml_started](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/xml_started.md) (attribute)

#### Classs

- [aclosing](https://reference.langchain.com/python/langchain-core/utils/aiter/aclosing.md) (class): Async context manager to wrap an `AsyncGenerator` that has a `aclose()` method
- [AddableDict](https://reference.langchain.com/python/langchain-core/runnables/utils/AddableDict.md) (class): Dictionary that can be added to another dictionary.
- [AgentAction](https://reference.langchain.com/python/langchain-core/agents/AgentAction.md) (class): Represents a request to execute an action by an agent
- [AgentActionMessageLog](https://reference.langchain.com/python/langchain-core/agents/AgentActionMessageLog.md) (class): Representation of an action to be executed by an agent
- [AgentFinish](https://reference.langchain.com/python/langchain-core/agents/AgentFinish.md) (class): Final return value of an `ActionAgent`
- [AgentStep](https://reference.langchain.com/python/langchain-core/agents/AgentStep.md) (class): Result of running an `AgentAction`.
- [AIMessage](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage.md) (class): Message from an AI
- [AIMessageChunk](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk.md) (class): Message chunk from an AI (yielded when streaming).
- [AIMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/AIMessagePromptTemplate.md) (class): AI message prompt template
- [AsciiCanvas](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas.md) (class): Class for drawing in ASCII.
- [AsyncBaseTracer](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer.md) (class): Async base interface for tracers.
- [AsyncCallbackHandler](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler.md) (class): Base async callback handler.
- [AsyncCallbackManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager.md) (class): Async callback manager that handles callbacks from LangChain.
- [AsyncCallbackManagerForChainGroup](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup.md) (class): Async callback manager for the chain group.
- [AsyncCallbackManagerForChainRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainRun.md) (class): Async callback manager for chain run.
- [AsyncCallbackManagerForLLMRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForLLMRun.md) (class): Async callback manager for LLM run.
- [AsyncCallbackManagerForRetrieverRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForRetrieverRun.md) (class): Async callback manager for retriever run.
- [AsyncCallbackManagerForToolRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForToolRun.md) (class): Async callback manager for tool run.
- [AsyncParentRunManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncParentRunManager.md) (class): Async parent run manager.
- [AsyncRootListenersTracer](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/AsyncRootListenersTracer.md) (class): Async tracer that calls listeners on run start, end, and error.
- [AsyncRunManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncRunManager.md) (class): Async run manager.
- [AudioContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/AudioContentBlock.md) (class): Audio data
- [BaseBlobParser](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseBlobParser.md) (class): Abstract interface for blob parsers
- [BaseCache](https://reference.langchain.com/python/langchain-core/caches/BaseCache.md) (class): Interface for a caching layer for LLMs and Chat models
- [BaseCallbackHandler](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackHandler.md) (class): Base callback handler.
- [BaseCallbackManager](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager.md) (class): Base callback manager.
- [BaseChatLoader](https://reference.langchain.com/python/langchain-core/chat_loaders/BaseChatLoader.md) (class): Base class for chat loaders.
- [BaseChatMessageHistory](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory.md) (class): Abstract base class for storing chat message history
- [BaseChatModel](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel.md) (class): Base class for chat models.
- [BaseChatPromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate.md) (class): Base class for chat prompt templates.
- [BaseCrossEncoder](https://reference.langchain.com/python/langchain-core/cross_encoders/BaseCrossEncoder.md) (class): Interface for cross encoder models.
- [BaseCumulativeTransformOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/transform/BaseCumulativeTransformOutputParser.md) (class): Base class for an output parser that can handle streaming input.
- [BaseDocumentCompressor](https://reference.langchain.com/python/langchain-core/documents/compressor/BaseDocumentCompressor.md) (class): Base class for document compressors
- [BaseDocumentTransformer](https://reference.langchain.com/python/langchain-core/documents/transformers/BaseDocumentTransformer.md) (class): Abstract base class for document transformation
- [BaseExampleSelector](https://reference.langchain.com/python/langchain-core/example_selectors/base/BaseExampleSelector.md) (class): Interface for selecting examples to include in prompts.
- [BaseGenerationOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseGenerationOutputParser.md) (class): Base class to parse the output of an LLM call.
- [BaseLanguageModel](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel.md) (class): Abstract base class for interfacing with language models
- [BaseLLM](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM.md) (class): Base LLM abstract interface
- [BaseLLMOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseLLMOutputParser.md) (class): Abstract base class for parsing the outputs of a model.
- [BaseLoader](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseLoader.md) (class): Interface for document loader
- [BaseMedia](https://reference.langchain.com/python/langchain-core/documents/base/BaseMedia.md) (class): Base class for content used in retrieval and data processing workflows
- [BaseMessage](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage.md) (class): Base abstract message class
- [BaseMessageChunk](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessageChunk.md) (class): Message chunk, which can be concatenated with other Message chunks.
- [BaseMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate.md) (class): Base class for message prompt templates.
- [BaseOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser.md) (class): Base class to parse the output of an LLM call
- [BasePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate.md) (class): Base class for all prompt templates, returning a prompt.
- [BaseRateLimiter](https://reference.langchain.com/python/langchain-core/rate_limiters/BaseRateLimiter.md) (class): Base class for rate limiters
- [BaseRetriever](https://reference.langchain.com/python/langchain-core/retrievers/BaseRetriever.md) (class): Abstract base class for a document retrieval system
- [BaseRunManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager.md) (class): Base class for run manager (a bound callback manager).
- [BaseSerialized](https://reference.langchain.com/python/langchain-core/load/serializable/BaseSerialized.md) (class): Base class for serialized objects.
- [BaseStore](https://reference.langchain.com/python/langchain-core/stores/BaseStore.md) (class): Abstract interface for a key-value store
- [BaseStreamEvent](https://reference.langchain.com/python/langchain-core/runnables/schema/BaseStreamEvent.md) (class): Streaming event
- [BaseStringMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate.md) (class): Base class for message prompt templates that use a string prompt template.
- [BaseTool](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool.md) (class): Base class for all LangChain tools
- [BaseToolkit](https://reference.langchain.com/python/langchain-core/tools/base/BaseToolkit.md) (class): Base class for toolkits containing related tools
- [BaseTracer](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer.md) (class): Base interface for tracers.
- [BaseTransformOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/transform/BaseTransformOutputParser.md) (class): Base class for an output parser that can handle streaming input.
- [Blob](https://reference.langchain.com/python/langchain-core/documents/base/Blob.md) (class): Raw data abstraction for document loading and file processing
- [BlobLoader](https://reference.langchain.com/python/langchain-core/document_loaders/blob_loaders/BlobLoader.md) (class): Abstract interface for blob loaders implementation
- [Branch](https://reference.langchain.com/python/langchain-core/runnables/graph/Branch.md) (class): Branch in a graph.
- [CallbackManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager.md) (class): Callback manager for LangChain.
- [CallbackManagerForChainGroup](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup.md) (class): Callback manager for the chain group.
- [CallbackManagerForChainRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainRun.md) (class): Callback manager for chain run.
- [CallbackManagerForLLMRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForLLMRun.md) (class): Callback manager for LLM run.
- [CallbackManagerForRetrieverRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForRetrieverRun.md) (class): Callback manager for retriever run.
- [CallbackManagerForToolRun](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForToolRun.md) (class): Callback manager for tool run.
- [CallbackManagerMixin](https://reference.langchain.com/python/langchain-core/callbacks/base/CallbackManagerMixin.md) (class): Mixin for callback manager.
- [ChainManagerMixin](https://reference.langchain.com/python/langchain-core/callbacks/base/ChainManagerMixin.md) (class): Mixin for chain callbacks.
- [ChatGeneration](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGeneration.md) (class): A single chat generation output
- [ChatGenerationChunk](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGenerationChunk.md) (class): `ChatGeneration` chunk
- [ChatMessage](https://reference.langchain.com/python/langchain-core/messages/chat/ChatMessage.md) (class): Message that can be assigned an arbitrary speaker (i.e
- [ChatMessageChunk](https://reference.langchain.com/python/langchain-core/messages/chat/ChatMessageChunk.md) (class): Chat Message chunk.
- [ChatMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatMessagePromptTemplate.md) (class): Chat message prompt template.
- [ChatPromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate.md) (class): Prompt template for chat models
- [ChatPromptValue](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValue.md) (class): Chat prompt value
- [ChatPromptValueConcrete](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValueConcrete.md) (class): Chat prompt value which explicitly lists out the message types it accepts
- [ChatResult](https://reference.langchain.com/python/langchain-core/outputs/chat_result/ChatResult.md) (class): Use to represent the result of a chat model call with a single prompt
- [ChatSession](https://reference.langchain.com/python/langchain-core/chat_sessions/ChatSession.md) (class): Chat Session
- [ChevronError](https://reference.langchain.com/python/langchain-core/utils/mustache/ChevronError.md) (class): Custom exception for Chevron errors.
- [Citation](https://reference.langchain.com/python/langchain-core/messages/content/Citation.md) (class): Annotation for citing data from a document
- [CommaSeparatedListOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/list/CommaSeparatedListOutputParser.md) (class): Parse the output of a model to a comma-separated list.
- [Comparator](https://reference.langchain.com/python/langchain-core/structured_query/Comparator.md) (class): Enumerator of the comparison operators.
- [Comparison](https://reference.langchain.com/python/langchain-core/structured_query/Comparison.md) (class): Comparison to a value.
- [ConfigurableField](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableField.md) (class): Field that can be configured by the user.
- [ConfigurableFieldMultiOption](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldMultiOption.md) (class): Field that can be configured by the user with multiple default values.
- [ConfigurableFieldSingleOption](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSingleOption.md) (class): Field that can be configured by the user with a default value.
- [ConfigurableFieldSpec](https://reference.langchain.com/python/langchain-core/runnables/utils/ConfigurableFieldSpec.md) (class): Field that can be configured by the user
- [ConsoleCallbackHandler](https://reference.langchain.com/python/langchain-core/tracers/stdout/ConsoleCallbackHandler.md) (class): Tracer that prints to the console.
- [ContextOverflowError](https://reference.langchain.com/python/langchain-core/exceptions/ContextOverflowError.md) (class): Exception raised when input exceeds the model's context limit
- [ContextThreadPoolExecutor](https://reference.langchain.com/python/langchain-core/runnables/config/ContextThreadPoolExecutor.md) (class): ThreadPoolExecutor that copies the context to the child thread.
- [CurveStyle](https://reference.langchain.com/python/langchain-core/runnables/graph/CurveStyle.md) (class): Enum for different curve styles supported by Mermaid.
- [CustomStreamEvent](https://reference.langchain.com/python/langchain-core/runnables/schema/CustomStreamEvent.md) (class): Custom stream event created by the user.
- [DeleteResponse](https://reference.langchain.com/python/langchain-core/indexing/base/DeleteResponse.md) (class): A generic response for delete operation
- [DeterministicFakeEmbedding](https://reference.langchain.com/python/langchain-core/embeddings/fake/DeterministicFakeEmbedding.md) (class): Deterministic fake embedding model for unit testing purposes
- [DictPromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate.md) (class): Template represented by a dictionary
- [Document](https://reference.langchain.com/python/langchain-core/documents/base/Document.md) (class): Class for storing a piece of text and associated metadata
- [DocumentIndex](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex.md) (class): A document retriever that supports indexing operations
- [DynamicRunnable](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable.md) (class): Serializable `Runnable` that can be dynamically configured
- [Edge](https://reference.langchain.com/python/langchain-core/runnables/graph/Edge.md) (class): Edge in a graph.
- [Embeddings](https://reference.langchain.com/python/langchain-core/embeddings/embeddings/Embeddings.md) (class): Interface for embedding models
- [EmptyDict](https://reference.langchain.com/python/langchain-core/runnables/config/EmptyDict.md) (class): Empty dict type.
- [ErrorCode](https://reference.langchain.com/python/langchain-core/exceptions/ErrorCode.md) (class): Error codes.
- [EvaluatorCallbackHandler](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler.md) (class): Tracer that runs a run evaluator whenever a run is persisted.
- [EventData](https://reference.langchain.com/python/langchain-core/runnables/schema/EventData.md) (class): Data associated with a streaming event.
- [ExponentialJitterParams](https://reference.langchain.com/python/langchain-core/runnables/retry/ExponentialJitterParams.md) (class): Parameters for `tenacity.wait_exponential_jitter`.
- [Expr](https://reference.langchain.com/python/langchain-core/structured_query/Expr.md) (class): Base class for all expressions.
- [FakeChatModel](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeChatModel.md) (class): Fake Chat Model wrapper for testing purposes.
- [FakeEmbeddings](https://reference.langchain.com/python/langchain-core/embeddings/fake/FakeEmbeddings.md) (class): Fake embedding model for unit testing purposes
- [FakeListChatModel](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel.md) (class): Fake chat model for testing purposes.
- [FakeListChatModelError](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModelError.md) (class): Fake error for testing purposes.
- [FakeListLLM](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeListLLM.md) (class): Fake LLM for testing purposes.
- [FakeListLLMError](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeListLLMError.md) (class): Fake error for testing purposes.
- [FakeMessagesListChatModel](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeMessagesListChatModel.md) (class): Fake chat model for testing purposes.
- [FakeStreamingListLLM](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeStreamingListLLM.md) (class): Fake streaming list LLM for testing purposes
- [FewShotChatMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate.md) (class): Chat prompt template that supports few-shot examples
- [FewShotPromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate.md) (class): Prompt template that contains few shot examples.
- [FewShotPromptWithTemplates](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates.md) (class): Prompt template that contains few shot examples.
- [FileCallbackHandler](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler.md) (class): Callback handler that writes to a file
- [FileContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/FileContentBlock.md) (class): File data that doesn't fit into other multimodal block types
- [FilterDirective](https://reference.langchain.com/python/langchain-core/structured_query/FilterDirective.md) (class): Filtering expression.
- [FunctionCallbackHandler](https://reference.langchain.com/python/langchain-core/tracers/stdout/FunctionCallbackHandler.md) (class): Tracer that calls a function with a single str parameter.
- [FunctionDescription](https://reference.langchain.com/python/langchain-core/utils/function_calling/FunctionDescription.md) (class): Representation of a callable function to send to an LLM.
- [FunctionMessage](https://reference.langchain.com/python/langchain-core/messages/function/FunctionMessage.md) (class): Message for passing the result of executing a tool back to a model
- [FunctionMessageChunk](https://reference.langchain.com/python/langchain-core/messages/function/FunctionMessageChunk.md) (class): Function Message chunk.
- [FunctionNonLocals](https://reference.langchain.com/python/langchain-core/runnables/utils/FunctionNonLocals.md) (class): Get the nonlocal variables accessed of a function.
- [Generation](https://reference.langchain.com/python/langchain-core/outputs/generation/Generation.md) (class): A single text generation output
- [GenerationChunk](https://reference.langchain.com/python/langchain-core/outputs/generation/GenerationChunk.md) (class): `GenerationChunk`, which can be concatenated with other `Generation` chunks.
- [GenericFakeChatModel](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/GenericFakeChatModel.md) (class): Generic fake chat model that can be used to test the chat model interface
- [GetLambdaSource](https://reference.langchain.com/python/langchain-core/runnables/utils/GetLambdaSource.md) (class): Get the source code of a lambda function.
- [Graph](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph.md) (class): Graph of nodes and edges.
- [HumanMessage](https://reference.langchain.com/python/langchain-core/messages/human/HumanMessage.md) (class): Message from the user
- [HumanMessageChunk](https://reference.langchain.com/python/langchain-core/messages/human/HumanMessageChunk.md) (class): Human Message chunk.
- [HumanMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/HumanMessagePromptTemplate.md) (class): Human message prompt template
- [ImageContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/ImageContentBlock.md) (class): Image data
- [ImagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate.md) (class): Image prompt template for a multimodal model.
- [ImagePromptValue](https://reference.langchain.com/python/langchain-core/prompt_values/ImagePromptValue.md) (class): Image prompt value.
- [ImageURL](https://reference.langchain.com/python/langchain-core/prompt_values/ImageURL.md) (class): Image URL for multimodal model inputs (OpenAI format)
- [IndexingException](https://reference.langchain.com/python/langchain-core/indexing/api/IndexingException.md) (class): Raised when an indexing operation fails.
- [IndexingResult](https://reference.langchain.com/python/langchain-core/indexing/api/IndexingResult.md) (class): Return a detailed a breakdown of the result of the indexing operation.
- [InjectedToolArg](https://reference.langchain.com/python/langchain-core/tools/base/InjectedToolArg.md) (class): Annotation for tool arguments that are injected at runtime
- [InjectedToolCallId](https://reference.langchain.com/python/langchain-core/tools/base/InjectedToolCallId.md) (class): Annotation for injecting the tool call ID
- [InMemoryBaseStore](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore.md) (class): In-memory implementation of the `BaseStore` using a dictionary.
- [InMemoryByteStore](https://reference.langchain.com/python/langchain-core/stores/InMemoryByteStore.md) (class): In-memory store for bytes.
- [InMemoryCache](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache.md) (class): Cache that stores things in memory.
- [InMemoryChatMessageHistory](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory.md) (class): In memory implementation of chat message history
- [InMemoryDocumentIndex](https://reference.langchain.com/python/langchain-core/indexing/in_memory/InMemoryDocumentIndex.md) (class): In memory document index
- [InMemoryRateLimiter](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter.md) (class): An in memory rate limiter based on a token bucket algorithm
- [InMemoryRecordManager](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager.md) (class): An in-memory record manager for testing purposes.
- [InMemoryStore](https://reference.langchain.com/python/langchain-core/stores/InMemoryStore.md) (class): In-memory store for any type of data.
- [InMemoryVectorStore](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore.md) (class): In-memory vector store implementation
- [InputTokenDetails](https://reference.langchain.com/python/langchain-core/messages/ai/InputTokenDetails.md) (class): Breakdown of input token counts
- [InvalidKeyException](https://reference.langchain.com/python/langchain-core/stores/InvalidKeyException.md) (class): Raised when a key is invalid; e.g., uses incorrect characters.
- [InvalidToolCall](https://reference.langchain.com/python/langchain-core/messages/content/InvalidToolCall.md) (class): Allowance for errors made by LLM
- [IsFunctionArgDict](https://reference.langchain.com/python/langchain-core/runnables/utils/IsFunctionArgDict.md) (class): Check if the first argument of a function is a dict.
- [IsLocalDict](https://reference.langchain.com/python/langchain-core/runnables/utils/IsLocalDict.md) (class): Check if a name is a local dict.
- [JsonKeyOutputFunctionsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonKeyOutputFunctionsParser.md) (class): Parse an output as the element of the JSON object.
- [JsonOutputFunctionsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonOutputFunctionsParser.md) (class): Parse an output as the JSON object.
- [JsonOutputKeyToolsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputKeyToolsParser.md) (class): Parse tools from OpenAI response.
- [JsonOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/json/JsonOutputParser.md) (class): Parse the output of an LLM call to a JSON object
- [JsonOutputToolsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputToolsParser.md) (class): Parse tools from OpenAI response.
- [LabelsDict](https://reference.langchain.com/python/langchain-core/runnables/graph/LabelsDict.md) (class): Dictionary of labels for nodes and edges in a graph.
- [LangChainBetaWarning](https://reference.langchain.com/python/langchain-core/_api/beta_decorator/LangChainBetaWarning.md) (class): A class for issuing beta warnings for LangChain users.
- [LangChainDeprecationWarning](https://reference.langchain.com/python/langchain-core/_api/deprecation/LangChainDeprecationWarning.md) (class): A class for issuing deprecation warnings for LangChain users.
- [LangChainException](https://reference.langchain.com/python/langchain-core/exceptions/LangChainException.md) (class): General LangChain exception.
- [LangChainPendingDeprecationWarning](https://reference.langchain.com/python/langchain-core/_api/deprecation/LangChainPendingDeprecationWarning.md) (class): A class for issuing deprecation warnings for LangChain users.
- [LangChainTracer](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer.md) (class): Implementation of the `SharedTracer` that `POSTS` to the LangChain endpoint.
- [LangSmithLoader](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader.md) (class): Load LangSmith Dataset examples as `Document` objects
- [LangSmithParams](https://reference.langchain.com/python/langchain-core/language_models/base/LangSmithParams.md) (class): LangSmith parameters for tracing.
- [LangSmithRetrieverParams](https://reference.langchain.com/python/langchain-core/retrievers/LangSmithRetrieverParams.md) (class): LangSmith parameters for tracing.
- [LengthBasedExampleSelector](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector.md) (class): Select examples based on length.
- [ListOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/list/ListOutputParser.md) (class): Parse the output of a model to a list.
- [LLM](https://reference.langchain.com/python/langchain-core/language_models/llms/LLM.md) (class): Simple interface for implementing a custom LLM
- [LLMManagerMixin](https://reference.langchain.com/python/langchain-core/callbacks/base/LLMManagerMixin.md) (class): Mixin for LLM callbacks.
- [LLMResult](https://reference.langchain.com/python/langchain-core/outputs/llm_result/LLMResult.md) (class): A container for results of an LLM call
- [LogEntry](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogEntry.md) (class): A single entry in the run log.
- [LogStreamCallbackHandler](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler.md) (class): Tracer that streams run logs to a stream.
- [MarkdownListOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/list/MarkdownListOutputParser.md) (class): Parse a Markdown list.
- [MaxMarginalRelevanceExampleSelector](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/MaxMarginalRelevanceExampleSelector.md) (class): Select examples based on Max Marginal Relevance
- [MermaidDrawMethod](https://reference.langchain.com/python/langchain-core/runnables/graph/MermaidDrawMethod.md) (class): Enum for different draw methods supported by Mermaid.
- [MessagesPlaceholder](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder.md) (class): Prompt template that assumes variable is already list of messages
- [ModelProfile](https://reference.langchain.com/python/langchain-core/language_models/model_profile/ModelProfile.md) (class): Model profile
- [Node](https://reference.langchain.com/python/langchain-core/runnables/graph/Node.md) (class): Node in a graph.
- [NodeStyles](https://reference.langchain.com/python/langchain-core/runnables/graph/NodeStyles.md) (class): Schema for Hexadecimal color codes for different node types.
- [NoLock](https://reference.langchain.com/python/langchain-core/utils/aiter/NoLock.md) (class): Dummy lock that provides the proper interface but no protection.
- [NoLock](https://reference.langchain.com/python/langchain-core/utils/iter/NoLock.md) (class): Dummy lock that provides the proper interface but no protection.
- [NonLocals](https://reference.langchain.com/python/langchain-core/runnables/utils/NonLocals.md) (class): Get nonlocal variables accessed.
- [NonStandardAnnotation](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardAnnotation.md) (class): Provider-specific annotation format.
- [NonStandardContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/NonStandardContentBlock.md) (class): Provider-specific content data
- [NumberedListOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/list/NumberedListOutputParser.md) (class): Parse a numbered list.
- [Operation](https://reference.langchain.com/python/langchain-core/structured_query/Operation.md) (class): Logical operation over other directives.
- [Operator](https://reference.langchain.com/python/langchain-core/structured_query/Operator.md) (class): Enumerator of the operations.
- [OutputFunctionsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/OutputFunctionsParser.md) (class): Parse an output that is one of sets of values.
- [OutputParserException](https://reference.langchain.com/python/langchain-core/exceptions/OutputParserException.md) (class): Exception that output parsers should raise to signify a parsing error
- [OutputTokenDetails](https://reference.langchain.com/python/langchain-core/messages/ai/OutputTokenDetails.md) (class): Breakdown of output token counts
- [ParentRunManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/ParentRunManager.md) (class): Synchronous parent run manager.
- [ParrotFakeChatModel](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/ParrotFakeChatModel.md) (class): Generic fake chat model that can be used to test the chat model interface
- [ParsedDataUri](https://reference.langchain.com/python/langchain-core/language_models/_utils/ParsedDataUri.md) (class)
- [PlainTextContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/PlainTextContentBlock.md) (class): Plaintext data (e.g., from a `.txt` or `.md` document)
- [PngDrawer](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer.md) (class): Helper class to draw a state graph into a PNG file
- [PromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate.md) (class): Prompt template for a language model
- [PromptValue](https://reference.langchain.com/python/langchain-core/prompt_values/PromptValue.md) (class): Base abstract class for inputs to any language model
- [PydanticAttrOutputFunctionsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticAttrOutputFunctionsParser.md) (class): Parse an output as an attribute of a Pydantic object.
- [PydanticOutputFunctionsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticOutputFunctionsParser.md) (class): Parse an output as a Pydantic object
- [PydanticOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic/PydanticOutputParser.md) (class): Parse an output using a Pydantic model.
- [PydanticToolsParser](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/PydanticToolsParser.md) (class): Parse tools from OpenAI response.
- [ReasoningContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/ReasoningContentBlock.md) (class): Reasoning output from a LLM
- [RecordManager](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager.md) (class): Abstract base class representing the interface for a record manager
- [RemoveMessage](https://reference.langchain.com/python/langchain-core/messages/modifier/RemoveMessage.md) (class): Message responsible for deleting other messages.
- [RetrieverInput](https://reference.langchain.com/python/langchain-core/tools/retriever/RetrieverInput.md) (class): Input to the retriever.
- [RetrieverManagerMixin](https://reference.langchain.com/python/langchain-core/callbacks/base/RetrieverManagerMixin.md) (class): Mixin for `Retriever` callbacks.
- [Reviver](https://reference.langchain.com/python/langchain-core/load/load/Reviver.md) (class): Reviver for JSON objects
- [RootListenersTracer](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/RootListenersTracer.md) (class): Tracer that calls listeners on run start, end, and error.
- [RouterInput](https://reference.langchain.com/python/langchain-core/runnables/router/RouterInput.md) (class): Router input.
- [RouterRunnable](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable.md) (class): `Runnable` that routes to a set of `Runnable` based on `Input['key']`
- [RunCollectorCallbackHandler](https://reference.langchain.com/python/langchain-core/tracers/run_collector/RunCollectorCallbackHandler.md) (class): Tracer that collects all nested runs in a list
- [RunInfo](https://reference.langchain.com/python/langchain-core/outputs/run_info/RunInfo.md) (class): Class that contains metadata for a single execution of a chain or model
- [RunInfo](https://reference.langchain.com/python/langchain-core/tracers/event_stream/RunInfo.md) (class): Information about a run
- [RunLog](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunLog.md) (class): Run log.
- [RunLogPatch](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunLogPatch.md) (class): Patch to the run log.
- [RunManager](https://reference.langchain.com/python/langchain-core/callbacks/manager/RunManager.md) (class): Synchronous run manager.
- [RunManagerMixin](https://reference.langchain.com/python/langchain-core/callbacks/base/RunManagerMixin.md) (class): Mixin for run manager.
- [Runnable](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable.md) (class): A unit of work that can be invoked, batched, streamed, transformed and composed
- [RunnableAssign](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign.md) (class): Runnable that assigns key-value pairs to `dict[str, Any]` inputs
- [RunnableBinding](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBinding.md) (class): Wrap a `Runnable` with additional functionality
- [RunnableBindingBase](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase.md) (class): `Runnable` that delegates calls to another `Runnable` with a set of `**kwargs`
- [RunnableBranch](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch.md) (class): `Runnable` that selects which branch to run based on a condition
- [RunnableConfig](https://reference.langchain.com/python/langchain-core/runnables/config/RunnableConfig.md) (class): Configuration for a `Runnable`
- [RunnableConfigurableAlternatives](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives.md) (class): `Runnable` that can be dynamically configured
- [RunnableConfigurableFields](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableFields.md) (class): `Runnable` that can be dynamically configured
- [RunnableEach](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEach.md) (class): RunnableEach class
- [RunnableEachBase](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase.md) (class): RunnableEachBase class
- [RunnableGenerator](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator.md) (class): `Runnable` that runs a generator function
- [RunnableLambda](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda.md) (class): `RunnableLambda` converts a python callable into a `Runnable`
- [RunnableParallel](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel.md) (class): Runnable that runs a mapping of `Runnable`s in parallel
- [RunnablePassthrough](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough.md) (class): Runnable to passthrough inputs unchanged or with additional keys
- [RunnablePick](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick.md) (class): `Runnable` that picks keys from `dict[str, Any]` inputs
- [RunnableRetry](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry.md) (class): Retry a Runnable if it fails
- [RunnableSequence](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence.md) (class): Sequence of `Runnable` objects, where the output of one is the input of the next
- [RunnableSerializable](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSerializable.md) (class): Runnable that can be serialized to JSON.
- [RunnableWithFallbacks](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks.md) (class): `Runnable` that can fallback to other `Runnable` objects if it fails
- [RunnableWithMessageHistory](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory.md) (class): `Runnable` that manages chat message history for another `Runnable`
- [RunState](https://reference.langchain.com/python/langchain-core/tracers/log_stream/RunState.md) (class): State of the run.
- [SchemaAnnotationError](https://reference.langchain.com/python/langchain-core/tools/base/SchemaAnnotationError.md) (class): Raised when `args_schema` is missing or has an incorrect type annotation.
- [SemanticSimilarityExampleSelector](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/SemanticSimilarityExampleSelector.md) (class): Select examples based on semantic similarity.
- [Serializable](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable.md) (class): Serializable base class
- [SerializedConstructor](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedConstructor.md) (class): Serialized constructor.
- [SerializedNotImplemented](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedNotImplemented.md) (class): Serialized not implemented.
- [SerializedSecret](https://reference.langchain.com/python/langchain-core/load/serializable/SerializedSecret.md) (class): Serialized secret.
- [ServerToolCall](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCall.md) (class): Tool call that is executed server-side
- [ServerToolCallChunk](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolCallChunk.md) (class): A chunk of a server-side tool call (yielded when streaming).
- [ServerToolResult](https://reference.langchain.com/python/langchain-core/messages/content/ServerToolResult.md) (class): Result of a server-side tool call.
- [SimpleChatModel](https://reference.langchain.com/python/langchain-core/language_models/chat_models/SimpleChatModel.md) (class): Simplified implementation for a chat model to inherit from
- [StandardStreamEvent](https://reference.langchain.com/python/langchain-core/runnables/schema/StandardStreamEvent.md) (class): A standard stream event that follows LangChain convention for event data.
- [StdOutCallbackHandler](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler.md) (class): Callback handler that prints to std out.
- [StreamingStdOutCallbackHandler](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler.md) (class): Callback handler for streaming
- [StrEnum](https://reference.langchain.com/python/langchain-core/runnables/configurable/StrEnum.md) (class): String enum.
- [StrictFormatter](https://reference.langchain.com/python/langchain-core/utils/formatting/StrictFormatter.md) (class): A string formatter that enforces keyword-only argument substitution
- [Stringifiable](https://reference.langchain.com/python/langchain-core/runnables/graph/Stringifiable.md) (class): Protocol for objects that can be converted to a string.
- [StringPromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate.md) (class): String prompt that exposes the format method, returning a prompt.
- [StringPromptValue](https://reference.langchain.com/python/langchain-core/prompt_values/StringPromptValue.md) (class): String prompt value.
- [StrOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/string/StrOutputParser.md) (class): Extract text content from model outputs as a string
- [StructuredPrompt](https://reference.langchain.com/python/langchain-core/prompts/structured/StructuredPrompt.md) (class): Structured prompt template for a language model.
- [StructuredQuery](https://reference.langchain.com/python/langchain-core/structured_query/StructuredQuery.md) (class): Structured query.
- [StructuredTool](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool.md) (class): Tool that can operate on any number of inputs.
- [SupportsAdd](https://reference.langchain.com/python/langchain-core/runnables/utils/SupportsAdd.md) (class): Protocol for objects that support addition.
- [SystemMessage](https://reference.langchain.com/python/langchain-core/messages/system/SystemMessage.md) (class): Message for priming AI behavior
- [SystemMessageChunk](https://reference.langchain.com/python/langchain-core/messages/system/SystemMessageChunk.md) (class): System Message chunk.
- [SystemMessagePromptTemplate](https://reference.langchain.com/python/langchain-core/prompts/chat/SystemMessagePromptTemplate.md) (class): System message prompt template
- [Tee](https://reference.langchain.com/python/langchain-core/utils/aiter/Tee.md) (class): Create `n` separate asynchronous iterators over `iterable`
- [Tee](https://reference.langchain.com/python/langchain-core/utils/iter/Tee.md) (class): Create `n` separate asynchronous iterators over `iterable`
- [TextAccessor](https://reference.langchain.com/python/langchain-core/messages/base/TextAccessor.md) (class): String-like object that supports both property and method access patterns
- [TextContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/TextContentBlock.md) (class): Text output from a LLM
- [Tool](https://reference.langchain.com/python/langchain-core/tools/simple/Tool.md) (class): Tool that takes in function or coroutine directly.
- [ToolCall](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCall.md) (class): Represents an AI's request to call a tool.
- [ToolCall](https://reference.langchain.com/python/langchain-core/messages/content/ToolCall.md) (class): Represents an AI's request to call a tool.
- [ToolCallChunk](https://reference.langchain.com/python/langchain-core/messages/tool/ToolCallChunk.md) (class): A chunk of a tool call (yielded when streaming)
- [ToolCallChunk](https://reference.langchain.com/python/langchain-core/messages/content/ToolCallChunk.md) (class): A chunk of a tool call (yielded when streaming)
- [ToolDescription](https://reference.langchain.com/python/langchain-core/utils/function_calling/ToolDescription.md) (class): Representation of a callable function to the OpenAI API.
- [ToolException](https://reference.langchain.com/python/langchain-core/tools/base/ToolException.md) (class): Exception thrown when a tool execution error occurs
- [ToolManagerMixin](https://reference.langchain.com/python/langchain-core/callbacks/base/ToolManagerMixin.md) (class): Mixin for tool callbacks.
- [ToolMessage](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage.md) (class): Message for passing the result of executing a tool back to a model
- [ToolMessageChunk](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessageChunk.md) (class): Tool Message chunk.
- [ToolOutputMixin](https://reference.langchain.com/python/langchain-core/messages/tool/ToolOutputMixin.md) (class): Mixin for objects that tools can return directly
- [TracerException](https://reference.langchain.com/python/langchain-core/exceptions/TracerException.md) (class): Base class for exceptions in tracers module.
- [UpsertResponse](https://reference.langchain.com/python/langchain-core/indexing/base/UpsertResponse.md) (class): A generic response for upsert operations
- [UsageMetadata](https://reference.langchain.com/python/langchain-core/messages/ai/UsageMetadata.md) (class): Usage metadata for a message, such as token counts
- [UsageMetadataCallbackHandler](https://reference.langchain.com/python/langchain-core/callbacks/usage/UsageMetadataCallbackHandler.md) (class): Callback Handler that tracks `AIMessage.usage_metadata`.
- [VectorStore](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore.md) (class): Interface for vector store.
- [VectorStoreRetriever](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever.md) (class): Base Retriever class for VectorStore.
- [VertexViewer](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/VertexViewer.md) (class): VertexViewer class
- [VideoContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/VideoContentBlock.md) (class): Video data
- [Visitor](https://reference.langchain.com/python/langchain-core/structured_query/Visitor.md) (class): Defines interface for IR translation using a visitor pattern.
- [XMLOutputParser](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XMLOutputParser.md) (class): Parse an output using xml format

#### Functions

- [aadd](https://reference.langchain.com/python/langchain-core/runnables/utils/aadd.md) (function): Asynchronously add a sequence of addable objects together.
- [abatch_iterate](https://reference.langchain.com/python/langchain-core/utils/aiter/abatch_iterate.md) (function): Utility batching function for async iterables.
- [acall_func_with_variable_args](https://reference.langchain.com/python/langchain-core/runnables/config/acall_func_with_variable_args.md) (function): Async call function that may optionally accept a run_manager and/or config.
- [accepts_config](https://reference.langchain.com/python/langchain-core/runnables/utils/accepts_config.md) (function): Check if a callable accepts a config argument.
- [accepts_context](https://reference.langchain.com/python/langchain-core/runnables/utils/accepts_context.md) (function): Check if a callable accepts a context argument.
- [accepts_run_manager](https://reference.langchain.com/python/langchain-core/runnables/utils/accepts_run_manager.md) (function): Check if a callable accepts a run_manager argument.
- [add](https://reference.langchain.com/python/langchain-core/runnables/utils/add.md) (function): Add a sequence of addable objects together.
- [add_ai_message_chunks](https://reference.langchain.com/python/langchain-core/messages/ai/add_ai_message_chunks.md) (function): Add multiple `AIMessageChunk`s together.
- [add_usage](https://reference.langchain.com/python/langchain-core/messages/ai/add_usage.md) (function): Recursively add two UsageMetadata objects.
- [adispatch_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/manager/adispatch_custom_event.md) (function): Dispatch an adhoc event to the handlers.
- [aformat_document](https://reference.langchain.com/python/langchain-core/prompts/base/aformat_document.md) (function): Async format a document into a string based on a prompt template
- [agenerate_from_stream](https://reference.langchain.com/python/langchain-core/language_models/chat_models/agenerate_from_stream.md) (function): Async generate from a stream.
- [aget_prompts](https://reference.langchain.com/python/langchain-core/language_models/llms/aget_prompts.md) (function): Get prompts that are already cached
- [ahandle_event](https://reference.langchain.com/python/langchain-core/callbacks/manager/ahandle_event.md) (function): Async generic event handler for `AsyncCallbackManager`.
- [aidentity](https://reference.langchain.com/python/langchain-core/runnables/passthrough/aidentity.md) (function): Async identity function.
- [aindex](https://reference.langchain.com/python/langchain-core/indexing/api/aindex.md) (function): Async index data from the loader into the vector store
- [as_import_path](https://reference.langchain.com/python/langchain-core/_api/path/as_import_path.md) (function): Path of the file as a LangChain import exclude langchain top namespace.
- [asyncio_accepts_context](https://reference.langchain.com/python/langchain-core/runnables/utils/asyncio_accepts_context.md) (function): Check if asyncio.create_task accepts a `context` arg.
- [atrace_as_chain_group](https://reference.langchain.com/python/langchain-core/callbacks/manager/atrace_as_chain_group.md) (function): Get an async callback manager for a chain group in a context manager
- [aupdate_cache](https://reference.langchain.com/python/langchain-core/language_models/llms/aupdate_cache.md) (function): Update the cache and get the LLM output
- [batch_iterate](https://reference.langchain.com/python/langchain-core/utils/iter/batch_iterate.md) (function): Utility batching function.
- [beta](https://reference.langchain.com/python/langchain-core/_api/beta_decorator/beta.md) (function): Decorator to mark a function, a class, or a property as beta
- [build_extra_kwargs](https://reference.langchain.com/python/langchain-core/utils/utils/build_extra_kwargs.md) (function): Build extra kwargs from values and extra_kwargs
- [call_func_with_variable_args](https://reference.langchain.com/python/langchain-core/runnables/config/call_func_with_variable_args.md) (function): Call function that may optionally accept a run_manager and/or config.
- [chain](https://reference.langchain.com/python/langchain-core/runnables/base/chain.md) (function): Decorate a function to make it a `Runnable`
- [check_package_version](https://reference.langchain.com/python/langchain-core/utils/utils/check_package_version.md) (function): Check the version of a package.
- [check_valid_template](https://reference.langchain.com/python/langchain-core/prompts/string/check_valid_template.md) (function): Check that template string is valid.
- [coerce_to_runnable](https://reference.langchain.com/python/langchain-core/runnables/base/coerce_to_runnable.md) (function): Coerce a `Runnable`-like object into a `Runnable`.
- [collect_runs](https://reference.langchain.com/python/langchain-core/tracers/context/collect_runs.md) (function): Collect all run traces in context.
- [comma_list](https://reference.langchain.com/python/langchain-core/utils/strings/comma_list.md) (function): Convert an iterable to a comma-separated string.
- [convert_runnable_to_tool](https://reference.langchain.com/python/langchain-core/tools/convert/convert_runnable_to_tool.md) (function): Convert a `Runnable` into a `BaseTool`.
- [convert_to_json_schema](https://reference.langchain.com/python/langchain-core/utils/function_calling/convert_to_json_schema.md) (function): Convert a schema representation to a JSON schema.
- [convert_to_messages](https://reference.langchain.com/python/langchain-core/messages/utils/convert_to_messages.md) (function): Convert a sequence of messages to a list of messages.
- [convert_to_openai_data_block](https://reference.langchain.com/python/langchain-core/messages/block_translators/openai/convert_to_openai_data_block.md) (function): Format standard data content block to format expected by OpenAI
- [convert_to_openai_function](https://reference.langchain.com/python/langchain-core/utils/function_calling/convert_to_openai_function.md) (function): Convert a raw function/class to an OpenAI function.
- [convert_to_openai_image_block](https://reference.langchain.com/python/langchain-core/messages/block_translators/openai/convert_to_openai_image_block.md) (function): Convert `ImageContentBlock` to format expected by OpenAI Chat Completions.
- [convert_to_openai_messages](https://reference.langchain.com/python/langchain-core/messages/utils/convert_to_openai_messages.md) (function): Convert LangChain messages into OpenAI message dicts.
- [convert_to_openai_tool](https://reference.langchain.com/python/langchain-core/utils/function_calling/convert_to_openai_tool.md) (function): Convert a tool-like object to an OpenAI tool schema
- [convert_to_secret_str](https://reference.langchain.com/python/langchain-core/utils/utils/convert_to_secret_str.md) (function): Convert a string to a `SecretStr` if needed.
- [coro_with_context](https://reference.langchain.com/python/langchain-core/runnables/utils/coro_with_context.md) (function): Await a coroutine with a context.
- [count_tokens_approximately](https://reference.langchain.com/python/langchain-core/messages/utils/count_tokens_approximately.md) (function): Approximate the total number of tokens in messages
- [create_audio_block](https://reference.langchain.com/python/langchain-core/messages/content/create_audio_block.md) (function): Create an `AudioContentBlock`.
- [create_base_retry_decorator](https://reference.langchain.com/python/langchain-core/language_models/llms/create_base_retry_decorator.md) (function): Create a retry decorator for a given LLM and provided a list of error types.
- [create_citation](https://reference.langchain.com/python/langchain-core/messages/content/create_citation.md) (function): Create a `Citation`.
- [create_file_block](https://reference.langchain.com/python/langchain-core/messages/content/create_file_block.md) (function): Create a `FileContentBlock`.
- [create_image_block](https://reference.langchain.com/python/langchain-core/messages/content/create_image_block.md) (function): Create an `ImageContentBlock`.
- [create_message](https://reference.langchain.com/python/langchain-core/exceptions/create_message.md) (function): Create a message with a link to the LangChain troubleshooting guide.
- [create_model](https://reference.langchain.com/python/langchain-core/utils/pydantic/create_model.md) (function): Create a Pydantic model with the given field definitions
- [create_model_v2](https://reference.langchain.com/python/langchain-core/utils/pydantic/create_model_v2.md) (function): Create a Pydantic model with the given field definitions
- [create_non_standard_block](https://reference.langchain.com/python/langchain-core/messages/content/create_non_standard_block.md) (function): Create a `NonStandardContentBlock`.
- [create_plaintext_block](https://reference.langchain.com/python/langchain-core/messages/content/create_plaintext_block.md) (function): Create a `PlainTextContentBlock`.
- [create_reasoning_block](https://reference.langchain.com/python/langchain-core/messages/content/create_reasoning_block.md) (function): Create a `ReasoningContentBlock`.
- [create_retriever_tool](https://reference.langchain.com/python/langchain-core/tools/retriever/create_retriever_tool.md) (function): Create a tool to do retrieval of documents.
- [create_schema_from_function](https://reference.langchain.com/python/langchain-core/tools/base/create_schema_from_function.md) (function): Create a Pydantic schema from a function's signature.
- [create_text_block](https://reference.langchain.com/python/langchain-core/messages/content/create_text_block.md) (function): Create a `TextContentBlock`.
- [create_tool_call](https://reference.langchain.com/python/langchain-core/messages/content/create_tool_call.md) (function): Create a `ToolCall`.
- [create_video_block](https://reference.langchain.com/python/langchain-core/messages/content/create_video_block.md) (function): Create a `VideoContentBlock`.
- [default](https://reference.langchain.com/python/langchain-core/load/dump/default.md) (function): Return a default value for an object.
- [default_init_validator](https://reference.langchain.com/python/langchain-core/load/load/default_init_validator.md) (function): Default init validator that blocks jinja2 templates
- [default_tool_chunk_parser](https://reference.langchain.com/python/langchain-core/messages/tool/default_tool_chunk_parser.md) (function): Best-effort parsing of tool chunks.
- [default_tool_parser](https://reference.langchain.com/python/langchain-core/messages/tool/default_tool_parser.md) (function): Best-effort parsing of tools.
- [deprecated](https://reference.langchain.com/python/langchain-core/_api/deprecation/deprecated.md) (function): Decorator to mark a function, a class, or a property as deprecated
- [dereference_refs](https://reference.langchain.com/python/langchain-core/utils/json_schema/dereference_refs.md) (function): Resolve and inline JSON Schema `$ref` references in a schema object
- [dispatch_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/manager/dispatch_custom_event.md) (function): Dispatch an adhoc event.
- [draw_ascii](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/draw_ascii.md) (function): Build a DAG and draw it in ASCII.
- [draw_mermaid](https://reference.langchain.com/python/langchain-core/runnables/graph_mermaid/draw_mermaid.md) (function): Draws a Mermaid graph using the provided graph data.
- [draw_mermaid_png](https://reference.langchain.com/python/langchain-core/runnables/graph_mermaid/draw_mermaid_png.md) (function): Draws a Mermaid graph as PNG using provided syntax.
- [droplastn](https://reference.langchain.com/python/langchain-core/output_parsers/list/droplastn.md) (function): Drop the last `n` elements of an iterator.
- [dumpd](https://reference.langchain.com/python/langchain-core/load/dump/dumpd.md) (function): Return a dict representation of an object.
- [dumps](https://reference.langchain.com/python/langchain-core/load/dump/dumps.md) (function): Return a JSON string representation of an object.
- [elapsed](https://reference.langchain.com/python/langchain-core/tracers/stdout/elapsed.md) (function): Get the elapsed time of a run.
- [ensure_config](https://reference.langchain.com/python/langchain-core/runnables/config/ensure_config.md) (function): Ensure that a config is a dict with all keys present.
- [ensure_id](https://reference.langchain.com/python/langchain-core/utils/utils/ensure_id.md) (function): Ensure the ID is a valid string, generating a new UUID if not provided
- [env_var_is_set](https://reference.langchain.com/python/langchain-core/utils/env/env_var_is_set.md) (function): Check if an environment variable is set.
- [extract_sub_links](https://reference.langchain.com/python/langchain-core/utils/html/extract_sub_links.md) (function): Extract all links from a raw HTML string and convert into absolute paths.
- [filter_messages](https://reference.langchain.com/python/langchain-core/messages/utils/filter_messages.md) (function): Filter messages based on `name`, `type` or `id`.
- [find_all_links](https://reference.langchain.com/python/langchain-core/utils/html/find_all_links.md) (function): Extract all links from a raw HTML string.
- [format_document](https://reference.langchain.com/python/langchain-core/prompts/base/format_document.md) (function): Format a document into a string based on a prompt template
- [from_env](https://reference.langchain.com/python/langchain-core/utils/utils/from_env.md) (function): Create a factory method that gets a value from an environment variable.
- [gated_coro](https://reference.langchain.com/python/langchain-core/runnables/utils/gated_coro.md) (function): Run a coroutine with a semaphore.
- [gather_with_concurrency](https://reference.langchain.com/python/langchain-core/runnables/utils/gather_with_concurrency.md) (function): Gather coroutines with a limit on the number of concurrent coroutines.
- [generate_from_stream](https://reference.langchain.com/python/langchain-core/language_models/chat_models/generate_from_stream.md) (function): Generate from a stream.
- [get_all_basemodel_annotations](https://reference.langchain.com/python/langchain-core/tools/base/get_all_basemodel_annotations.md) (function): Get all annotations from a Pydantic `BaseModel` and its parents.
- [get_async_callback_manager_for_config](https://reference.langchain.com/python/langchain-core/runnables/config/get_async_callback_manager_for_config.md) (function): Get an async callback manager for a config.
- [get_bolded_text](https://reference.langchain.com/python/langchain-core/utils/input/get_bolded_text.md) (function): Get bolded text.
- [get_buffer_string](https://reference.langchain.com/python/langchain-core/messages/utils/get_buffer_string.md) (function): Convert a sequence of messages to strings and concatenate them into one string.
- [get_callback_manager_for_config](https://reference.langchain.com/python/langchain-core/runnables/config/get_callback_manager_for_config.md) (function): Get a callback manager for a config.
- [get_client](https://reference.langchain.com/python/langchain-core/tracers/langchain/get_client.md) (function): Get the client.
- [get_color_mapping](https://reference.langchain.com/python/langchain-core/utils/input/get_color_mapping.md) (function): Get mapping for items to a support color.
- [get_colored_text](https://reference.langchain.com/python/langchain-core/utils/input/get_colored_text.md) (function): Get colored text.
- [get_config_list](https://reference.langchain.com/python/langchain-core/runnables/config/get_config_list.md) (function): Get a list of configs from a single config or a list of configs
- [get_debug](https://reference.langchain.com/python/langchain-core/globals/get_debug.md) (function): Get the value of the `debug` global setting.
- [get_executor_for_config](https://reference.langchain.com/python/langchain-core/runnables/config/get_executor_for_config.md) (function): Get an executor for a config.
- [get_fields](https://reference.langchain.com/python/langchain-core/utils/pydantic/get_fields.md) (function): Return the field names of a Pydantic model.
- [get_from_dict_or_env](https://reference.langchain.com/python/langchain-core/utils/env/get_from_dict_or_env.md) (function): Get a value from a dictionary or an environment variable.
- [get_from_env](https://reference.langchain.com/python/langchain-core/utils/env/get_from_env.md) (function): Get a value from a dictionary or an environment variable.
- [get_function_first_arg_dict_keys](https://reference.langchain.com/python/langchain-core/runnables/utils/get_function_first_arg_dict_keys.md) (function): Get the keys of the first argument of a function if it is a dict.
- [get_function_nonlocals](https://reference.langchain.com/python/langchain-core/runnables/utils/get_function_nonlocals.md) (function): Get the nonlocal variables accessed by a function.
- [get_lambda_source](https://reference.langchain.com/python/langchain-core/runnables/utils/get_lambda_source.md) (function): Get the source code of a lambda function.
- [get_llm_cache](https://reference.langchain.com/python/langchain-core/globals/get_llm_cache.md) (function): Get the value of the `llm_cache` global setting.
- [get_msg_title_repr](https://reference.langchain.com/python/langchain-core/messages/base/get_msg_title_repr.md) (function): Get a title representation for a message.
- [get_prompts](https://reference.langchain.com/python/langchain-core/language_models/llms/get_prompts.md) (function): Get prompts that are already cached.
- [get_pydantic_field_names](https://reference.langchain.com/python/langchain-core/utils/utils/get_pydantic_field_names.md) (function): Get field names, including aliases, for a pydantic class.
- [get_pydantic_major_version](https://reference.langchain.com/python/langchain-core/utils/pydantic/get_pydantic_major_version.md) (function): DEPRECATED - Get the major version of Pydantic
- [get_relative_path](https://reference.langchain.com/python/langchain-core/_api/path/get_relative_path.md) (function): Get the path of the file as a relative path to the package directory.
- [get_runtime_environment](https://reference.langchain.com/python/langchain-core/env/get_runtime_environment.md) (function): Get information about the LangChain runtime environment.
- [get_template_variables](https://reference.langchain.com/python/langchain-core/prompts/string/get_template_variables.md) (function): Get the variables from the template.
- [get_tokenizer](https://reference.langchain.com/python/langchain-core/language_models/base/get_tokenizer.md) (function): Get a GPT-2 tokenizer instance
- [get_translator](https://reference.langchain.com/python/langchain-core/messages/block_translators/get_translator.md) (function): Get the translator functions for a provider.
- [get_unique_config_specs](https://reference.langchain.com/python/langchain-core/runnables/utils/get_unique_config_specs.md) (function): Get the unique config specs from a sequence of config specs.
- [get_usage_metadata_callback](https://reference.langchain.com/python/langchain-core/callbacks/usage/get_usage_metadata_callback.md) (function): Get usage metadata callback
- [get_verbose](https://reference.langchain.com/python/langchain-core/globals/get_verbose.md) (function): Get the value of the `verbose` global setting.
- [grab_literal](https://reference.langchain.com/python/langchain-core/utils/mustache/grab_literal.md) (function): Parse a literal from the template.
- [guard_import](https://reference.langchain.com/python/langchain-core/utils/utils/guard_import.md) (function): Dynamically import a module
- [handle_event](https://reference.langchain.com/python/langchain-core/callbacks/manager/handle_event.md) (function): Generic event handler for `CallbackManager`.
- [identity](https://reference.langchain.com/python/langchain-core/runnables/passthrough/identity.md) (function): Identity function.
- [import_attr](https://reference.langchain.com/python/langchain-core/_import_utils/import_attr.md) (function): Import an attribute from a module located in a package
- [indent_lines_after_first](https://reference.langchain.com/python/langchain-core/runnables/utils/indent_lines_after_first.md) (function): Indent all lines of text after the first line.
- [index](https://reference.langchain.com/python/langchain-core/indexing/api/index.md) (function): Index data from the loader into the vector store
- [invalid_tool_call](https://reference.langchain.com/python/langchain-core/messages/tool/invalid_tool_call.md) (function): Create an invalid tool call.
- [is_async_callable](https://reference.langchain.com/python/langchain-core/runnables/utils/is_async_callable.md) (function): Check if a function is async.
- [is_async_generator](https://reference.langchain.com/python/langchain-core/runnables/utils/is_async_generator.md) (function): Check if a function is an async generator.
- [is_basemodel_instance](https://reference.langchain.com/python/langchain-core/utils/pydantic/is_basemodel_instance.md) (function): Check if the given class is an instance of Pydantic `BaseModel`
- [is_basemodel_subclass](https://reference.langchain.com/python/langchain-core/utils/pydantic/is_basemodel_subclass.md) (function): Check if the given class is a subclass of Pydantic `BaseModel`
- [is_caller_internal](https://reference.langchain.com/python/langchain-core/_api/internal/is_caller_internal.md) (function): Return whether the caller at `depth` of this function is internal.
- [is_cloud_metadata](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/is_cloud_metadata.md) (function): Check if hostname or IP is a cloud metadata endpoint.
- [is_data_content_block](https://reference.langchain.com/python/langchain-core/messages/content/is_data_content_block.md) (function): Check if the provided content block is a data content block
- [is_interactive_env](https://reference.langchain.com/python/langchain-core/utils/interactive_env/is_interactive_env.md) (function): Determine if running within IPython or Jupyter.
- [is_localhost](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/is_localhost.md) (function): Check if hostname or IP is localhost.
- [is_openai_data_block](https://reference.langchain.com/python/langchain-core/language_models/_utils/is_openai_data_block.md) (function): Check whether a block contains multimodal data in OpenAI Chat Completions format
- [is_private_ip](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/is_private_ip.md) (function): Check if an IP address is in a private range.
- [is_pydantic_v1_subclass](https://reference.langchain.com/python/langchain-core/utils/pydantic/is_pydantic_v1_subclass.md) (function): Check if the given class is Pydantic v1-like.
- [is_pydantic_v2_subclass](https://reference.langchain.com/python/langchain-core/utils/pydantic/is_pydantic_v2_subclass.md) (function): Check if the given class is Pydantic v2-like.
- [is_safe_url](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/is_safe_url.md) (function): Check if a URL is safe (non-throwing version of validate_safe_url).
- [is_subsequence](https://reference.langchain.com/python/langchain-core/prompts/string/is_subsequence.md) (function): Return `True` if child is subsequence of parent.
- [is_uuid](https://reference.langchain.com/python/langchain-core/runnables/graph/is_uuid.md) (function): Check if a string is a valid UUID.
- [jinja2_formatter](https://reference.langchain.com/python/langchain-core/prompts/string/jinja2_formatter.md) (function): Format a template using jinja2
- [l_sa_check](https://reference.langchain.com/python/langchain-core/utils/mustache/l_sa_check.md) (function): Do a preliminary check to see if a tag could be a standalone.
- [load](https://reference.langchain.com/python/langchain-core/load/load/load.md) (function): Revive a LangChain class from a JSON object
- [load_prompt](https://reference.langchain.com/python/langchain-core/prompts/loading/load_prompt.md) (function): Unified method for loading a prompt from LangChainHub or local filesystem.
- [load_prompt_from_config](https://reference.langchain.com/python/langchain-core/prompts/loading/load_prompt_from_config.md) (function): Load prompt from config dict.
- [loads](https://reference.langchain.com/python/langchain-core/load/load/loads.md) (function): Revive a LangChain class from a JSON string
- [log_error_once](https://reference.langchain.com/python/langchain-core/tracers/langchain/log_error_once.md) (function): Log an error once.
- [make_invalid_tool_call](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/make_invalid_tool_call.md) (function): Create an `InvalidToolCall` from a raw tool call.
- [make_options_spec](https://reference.langchain.com/python/langchain-core/runnables/configurable/make_options_spec.md) (function): Make options spec
- [maximal_marginal_relevance](https://reference.langchain.com/python/langchain-core/vectorstores/utils/maximal_marginal_relevance.md) (function): Calculate maximal marginal relevance.
- [merge_chat_generation_chunks](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/merge_chat_generation_chunks.md) (function): Merge a list of `ChatGenerationChunk`s into a single `ChatGenerationChunk`.
- [merge_configs](https://reference.langchain.com/python/langchain-core/runnables/config/merge_configs.md) (function): Merge multiple configs into one.
- [merge_content](https://reference.langchain.com/python/langchain-core/messages/base/merge_content.md) (function): Merge multiple message contents.
- [merge_dicts](https://reference.langchain.com/python/langchain-core/utils/_merge/merge_dicts.md) (function): Merge dictionaries
- [merge_lists](https://reference.langchain.com/python/langchain-core/utils/_merge/merge_lists.md) (function): Add many lists, handling `None`.
- [merge_message_runs](https://reference.langchain.com/python/langchain-core/messages/utils/merge_message_runs.md) (function): Merge consecutive Messages of the same type
- [merge_obj](https://reference.langchain.com/python/langchain-core/utils/_merge/merge_obj.md) (function): Merge two objects
- [message_chunk_to_message](https://reference.langchain.com/python/langchain-core/messages/utils/message_chunk_to_message.md) (function): Convert a message chunk to a `Message`.
- [message_to_dict](https://reference.langchain.com/python/langchain-core/messages/base/message_to_dict.md) (function): Convert a Message to a dictionary.
- [messages_from_dict](https://reference.langchain.com/python/langchain-core/messages/utils/messages_from_dict.md) (function): Convert a sequence of messages from dicts to `Message` objects.
- [messages_to_dict](https://reference.langchain.com/python/langchain-core/messages/base/messages_to_dict.md) (function): Convert a sequence of Messages to a list of dictionaries.
- [mock_now](https://reference.langchain.com/python/langchain-core/utils/utils/mock_now.md) (function): Context manager for mocking out datetime.now() in unit tests.
- [mustache_formatter](https://reference.langchain.com/python/langchain-core/prompts/string/mustache_formatter.md) (function): Format a template using mustache.
- [mustache_schema](https://reference.langchain.com/python/langchain-core/prompts/string/mustache_schema.md) (function): Get the variables from a mustache template.
- [mustache_template_vars](https://reference.langchain.com/python/langchain-core/prompts/string/mustache_template_vars.md) (function): Get the top-level variables from a mustache template
- [nested_element](https://reference.langchain.com/python/langchain-core/output_parsers/xml/nested_element.md) (function): Get nested element from path.
- [node_data_json](https://reference.langchain.com/python/langchain-core/runnables/graph/node_data_json.md) (function): Convert the data of a node to a JSON-serializable format.
- [node_data_str](https://reference.langchain.com/python/langchain-core/runnables/graph/node_data_str.md) (function): Convert the data of a node to a string.
- [parse_and_check_json_markdown](https://reference.langchain.com/python/langchain-core/utils/json/parse_and_check_json_markdown.md) (function): Parse and check a JSON string from a Markdown string
- [parse_json_markdown](https://reference.langchain.com/python/langchain-core/utils/json/parse_json_markdown.md) (function): Parse a JSON string from a Markdown string.
- [parse_partial_json](https://reference.langchain.com/python/langchain-core/utils/json/parse_partial_json.md) (function): Parse a JSON string that may be missing closing braces.
- [parse_tag](https://reference.langchain.com/python/langchain-core/utils/mustache/parse_tag.md) (function): Parse a tag from a template.
- [parse_tool_call](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/parse_tool_call.md) (function): Parse a single tool call.
- [parse_tool_calls](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/parse_tool_calls.md) (function): Parse a list of tool calls.
- [patch_config](https://reference.langchain.com/python/langchain-core/runnables/config/patch_config.md) (function): Patch a config with new values.
- [pre_init](https://reference.langchain.com/python/langchain-core/utils/pydantic/pre_init.md) (function): Decorator to run a function before model initialization.
- [prefix_config_spec](https://reference.langchain.com/python/langchain-core/runnables/configurable/prefix_config_spec.md) (function): Prefix the id of a `ConfigurableFieldSpec`
- [print_sys_info](https://reference.langchain.com/python/langchain-core/sys_info/print_sys_info.md) (function): Print information about the environment for debugging purposes.
- [print_text](https://reference.langchain.com/python/langchain-core/utils/input/print_text.md) (function): Print text with highlighting and no end characters
- [py_anext](https://reference.langchain.com/python/langchain-core/utils/aiter/py_anext.md) (function): Pure-Python implementation of `anext()` for testing purposes
- [pydantic_copy](https://reference.langchain.com/python/langchain-core/tracers/_compat/pydantic_copy.md) (function): Copy any Pydantic model, compatible with both v1 and v2.
- [pydantic_to_dict](https://reference.langchain.com/python/langchain-core/tracers/_compat/pydantic_to_dict.md) (function): Convert any Pydantic model to dict, compatible with both v1 and v2.
- [r_sa_check](https://reference.langchain.com/python/langchain-core/utils/mustache/r_sa_check.md) (function): Do a final check to see if a tag could be a standalone.
- [raise_for_status_with_text](https://reference.langchain.com/python/langchain-core/utils/utils/raise_for_status_with_text.md) (function): Raise an error with the response text.
- [register_configure_hook](https://reference.langchain.com/python/langchain-core/tracers/context/register_configure_hook.md) (function): Register a configure hook.
- [register_translator](https://reference.langchain.com/python/langchain-core/messages/block_translators/register_translator.md) (function): Register content translators for a provider in `PROVIDER_TRANSLATORS`.
- [rename_parameter](https://reference.langchain.com/python/langchain-core/_api/deprecation/rename_parameter.md) (function): Decorator indicating that parameter *old* of *func* is renamed to *new*
- [render](https://reference.langchain.com/python/langchain-core/utils/mustache/render.md) (function): Render a mustache template
- [render_text_description](https://reference.langchain.com/python/langchain-core/tools/render/render_text_description.md) (function): Render the tool name and description in plain text.
- [render_text_description_and_args](https://reference.langchain.com/python/langchain-core/tools/render/render_text_description_and_args.md) (function): Render the tool name, description, and args in plain text.
- [run_construct](https://reference.langchain.com/python/langchain-core/tracers/_compat/run_construct.md) (function): Construct run without validation, compatible with both Pydantic v1 and v2.
- [run_copy](https://reference.langchain.com/python/langchain-core/tracers/_compat/run_copy.md) (function): Copy run, compatible with both Pydantic v1 and v2.
- [run_in_executor](https://reference.langchain.com/python/langchain-core/runnables/config/run_in_executor.md) (function): Run a function in an executor.
- [run_to_dict](https://reference.langchain.com/python/langchain-core/tracers/_compat/run_to_dict.md) (function): Convert run to dict, compatible with both Pydantic v1 and v2.
- [sanitize_for_postgres](https://reference.langchain.com/python/langchain-core/utils/strings/sanitize_for_postgres.md) (function): Sanitize text by removing NUL bytes that are incompatible with PostgreSQL
- [secret_from_env](https://reference.langchain.com/python/langchain-core/utils/utils/secret_from_env.md) (function): Secret from env.
- [set_config_context](https://reference.langchain.com/python/langchain-core/runnables/config/set_config_context.md) (function): Set the child Runnable config + tracing context.
- [set_debug](https://reference.langchain.com/python/langchain-core/globals/set_debug.md) (function): Set a new value for the `debug` global setting.
- [set_llm_cache](https://reference.langchain.com/python/langchain-core/globals/set_llm_cache.md) (function): Set a new LLM cache, overwriting the previous value, if any.
- [set_verbose](https://reference.langchain.com/python/langchain-core/globals/set_verbose.md) (function): Set a new value for the `verbose` global setting.
- [shielded](https://reference.langchain.com/python/langchain-core/callbacks/manager/shielded.md) (function): Makes so an awaitable method is always shielded from cancellation.
- [sorted_values](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/sorted_values.md) (function): Return a list of values in dict sorted by key.
- [stringify_dict](https://reference.langchain.com/python/langchain-core/utils/strings/stringify_dict.md) (function): Stringify a dictionary.
- [stringify_value](https://reference.langchain.com/python/langchain-core/utils/strings/stringify_value.md) (function): Stringify a value.
- [subtract_usage](https://reference.langchain.com/python/langchain-core/messages/ai/subtract_usage.md) (function): Recursively subtract two `UsageMetadata` objects
- [suppress_langchain_beta_warning](https://reference.langchain.com/python/langchain-core/_api/beta_decorator/suppress_langchain_beta_warning.md) (function): Context manager to suppress `LangChainDeprecationWarning`.
- [suppress_langchain_deprecation_warning](https://reference.langchain.com/python/langchain-core/_api/deprecation/suppress_langchain_deprecation_warning.md) (function): Context manager to suppress `LangChainDeprecationWarning`.
- [surface_langchain_beta_warnings](https://reference.langchain.com/python/langchain-core/_api/beta_decorator/surface_langchain_beta_warnings.md) (function): Unmute LangChain beta warnings.
- [surface_langchain_deprecation_warnings](https://reference.langchain.com/python/langchain-core/_api/deprecation/surface_langchain_deprecation_warnings.md) (function): Unmute LangChain deprecation warnings.
- [tee_peer](https://reference.langchain.com/python/langchain-core/utils/aiter/tee_peer.md) (function): An individual iterator of a `tee`
- [tee_peer](https://reference.langchain.com/python/langchain-core/utils/iter/tee_peer.md) (function): An individual iterator of a `.tee`
- [to_json_not_implemented](https://reference.langchain.com/python/langchain-core/load/serializable/to_json_not_implemented.md) (function): Serialize a "not implemented" object.
- [tokenize](https://reference.langchain.com/python/langchain-core/utils/mustache/tokenize.md) (function): Tokenize a mustache template
- [tool](https://reference.langchain.com/python/langchain-core/tools/convert/tool.md) (function): Convert Python functions and `Runnables` to LangChain tools
- [tool_call](https://reference.langchain.com/python/langchain-core/messages/tool/tool_call.md) (function): Create a tool call.
- [tool_call_chunk](https://reference.langchain.com/python/langchain-core/messages/tool/tool_call_chunk.md) (function): Create a tool call chunk.
- [tool_example_to_messages](https://reference.langchain.com/python/langchain-core/utils/function_calling/tool_example_to_messages.md) (function): Convert an example into a list of messages that can be fed into an LLM
- [trace_as_chain_group](https://reference.langchain.com/python/langchain-core/callbacks/manager/trace_as_chain_group.md) (function): Get a callback manager for a chain group in a context manager
- [tracing_v2_enabled](https://reference.langchain.com/python/langchain-core/tracers/context/tracing_v2_enabled.md) (function): Instruct LangChain to log all runs in context to LangSmith.
- [translate_content](https://reference.langchain.com/python/langchain-core/messages/block_translators/groq/translate_content.md) (function): Derive standard content blocks from a message with groq content.
- [translate_content](https://reference.langchain.com/python/langchain-core/messages/block_translators/openai/translate_content.md) (function): Derive standard content blocks from a message with OpenAI content.
- [translate_content](https://reference.langchain.com/python/langchain-core/messages/block_translators/bedrock/translate_content.md) (function): Derive standard content blocks from a message with Bedrock content.
- [translate_content](https://reference.langchain.com/python/langchain-core/messages/block_translators/anthropic/translate_content.md) (function): Derive standard content blocks from a message with Anthropic content.
- [translate_content](https://reference.langchain.com/python/langchain-core/messages/block_translators/bedrock_converse/translate_content.md) (function): Derive standard content blocks from a message with Bedrock Converse content.
- [translate_content](https://reference.langchain.com/python/langchain-core/messages/block_translators/google_genai/translate_content.md) (function): Derive standard content blocks from a message with Google (GenAI) content.
- [translate_content_chunk](https://reference.langchain.com/python/langchain-core/messages/block_translators/groq/translate_content_chunk.md) (function): Derive standard content blocks from a message chunk with groq content.
- [translate_content_chunk](https://reference.langchain.com/python/langchain-core/messages/block_translators/openai/translate_content_chunk.md) (function): Derive standard content blocks from a message chunk with OpenAI content.
- [translate_content_chunk](https://reference.langchain.com/python/langchain-core/messages/block_translators/bedrock/translate_content_chunk.md) (function): Derive standard content blocks from a message chunk with Bedrock content.
- [translate_content_chunk](https://reference.langchain.com/python/langchain-core/messages/block_translators/anthropic/translate_content_chunk.md) (function): Derive standard content blocks from a message chunk with Anthropic content.
- [translate_content_chunk](https://reference.langchain.com/python/langchain-core/messages/block_translators/bedrock_converse/translate_content_chunk.md) (function): Derive standard content blocks from a chunk with Bedrock Converse content.
- [translate_content_chunk](https://reference.langchain.com/python/langchain-core/messages/block_translators/google_genai/translate_content_chunk.md) (function): Derive standard content blocks from a chunk with Google (GenAI) content.
- [translate_grounding_metadata_to_citations](https://reference.langchain.com/python/langchain-core/messages/block_translators/google_genai/translate_grounding_metadata_to_citations.md) (function): Translate Google AI grounding metadata to LangChain Citations.
- [trim_messages](https://reference.langchain.com/python/langchain-core/messages/utils/trim_messages.md) (function): Trim messages to be below a token count
- [try_json_stringify](https://reference.langchain.com/python/langchain-core/tracers/stdout/try_json_stringify.md) (function): Try to stringify an object to JSON.
- [try_neq_default](https://reference.langchain.com/python/langchain-core/load/serializable/try_neq_default.md) (function): Try to determine if a value is different from the default.
- [update_cache](https://reference.langchain.com/python/langchain-core/language_models/llms/update_cache.md) (function): Update the cache and get the LLM output.
- [uuid7](https://reference.langchain.com/python/langchain-core/utils/uuid/uuid7.md) (function): Generate a UUID from a Unix timestamp in nanoseconds and random bits
- [validate_jinja2](https://reference.langchain.com/python/langchain-core/prompts/string/validate_jinja2.md) (function): Validate that the input variables are valid for the template
- [validate_safe_url](https://reference.langchain.com/python/langchain-core/_security/_ssrf_protection/validate_safe_url.md) (function): Validate a URL for SSRF protection
- [wait_for_all_evaluators](https://reference.langchain.com/python/langchain-core/tracers/evaluation/wait_for_all_evaluators.md) (function): Wait for all tracers to finish.
- [wait_for_all_tracers](https://reference.langchain.com/python/langchain-core/tracers/langchain/wait_for_all_tracers.md) (function): Wait for all tracers to finish.
- [warn_beta](https://reference.langchain.com/python/langchain-core/_api/beta_decorator/warn_beta.md) (function): Display a standardized beta annotation.
- [warn_deprecated](https://reference.langchain.com/python/langchain-core/_api/deprecation/warn_deprecated.md) (function): Display a standardized deprecation.
- [xor_args](https://reference.langchain.com/python/langchain-core/utils/utils/xor_args.md) (function): Validate specified keyword args are mutually exclusive.

#### Methods

- [aacquire](https://reference.langchain.com/python/langchain-core/rate_limiters/BaseRateLimiter/aacquire.md) (method): Attempt to acquire the necessary tokens for the rate limiter
- [aacquire](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/aacquire.md) (method): Attempt to acquire a token from the rate limiter
- [aadd_documents](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/aadd_documents.md) (method): Async run more documents through the embeddings and add to the `VectorStore`.
- [aadd_documents](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/aadd_documents.md) (method): Async add documents to the `VectorStore`.
- [aadd_documents](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/aadd_documents.md) (method)
- [aadd_example](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/aadd_example.md) (method): Async add new example to vectorstore.
- [aadd_example](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/aadd_example.md) (method): Async add new example to list.
- [aadd_example](https://reference.langchain.com/python/langchain-core/example_selectors/base/BaseExampleSelector/aadd_example.md) (method): Async add new example to store.
- [aadd_messages](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/aadd_messages.md) (method): Async add a list of messages.
- [aadd_messages](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory/aadd_messages.md) (method): Async add messages to the store.
- [aadd_texts](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/aadd_texts.md) (method): Async run more texts through the embeddings and add to the `VectorStore`.
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/abatch.md) (method): Default implementation runs `ainvoke` in parallel using `asyncio.gather`
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/abatch.md) (method)
- [abatch](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel/abatch.md) (method)
- [abatch_as_completed](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/abatch_as_completed.md) (method): Run `ainvoke` in parallel on a list of inputs
- [abatch_as_completed](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/abatch_as_completed.md) (method)
- [accept](https://reference.langchain.com/python/langchain-core/structured_query/Expr/accept.md) (method): Accept a visitor.
- [aclear](https://reference.langchain.com/python/langchain-core/caches/BaseCache/aclear.md) (method): Async clear cache that can take additional keyword arguments.
- [aclear](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache/aclear.md) (method): Async clear cache.
- [aclear](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/aclear.md) (method): Async remove all messages from the store.
- [aclear](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory/aclear.md) (method): Async clear all messages from the store.
- [aclose](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/_SendStream/aclose.md) (method): Async schedule the done object write the queue using the original loop.
- [aclose](https://reference.langchain.com/python/langchain-core/utils/aiter/Tee/aclose.md) (method): Async close all child iterators.
- [acompress_documents](https://reference.langchain.com/python/langchain-core/documents/compressor/BaseDocumentCompressor/acompress_documents.md) (method): Async compress retrieved documents given the query context.
- [acquire](https://reference.langchain.com/python/langchain-core/rate_limiters/BaseRateLimiter/acquire.md) (method): Attempt to acquire the necessary tokens for the rate limiter
- [acquire](https://reference.langchain.com/python/langchain-core/rate_limiters/InMemoryRateLimiter/acquire.md) (method): Attempt to acquire a token from the rate limiter
- [acreate_schema](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/acreate_schema.md) (method): Asynchronously create the database schema for the record manager.
- [acreate_schema](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/acreate_schema.md) (method): In-memory schema creation is simply ensuring the structure is initialized.
- [add_ai_message](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/add_ai_message.md) (method): Convenience method for adding an `AIMessage` string to the store
- [add_documents](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/add_documents.md) (method): Add or update documents in the `VectorStore`.
- [add_documents](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/add_documents.md) (method): Add documents to the `VectorStore`.
- [add_documents](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/add_documents.md) (method)
- [add_edge](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/add_edge.md) (method): Add an edge to the graph and return it.
- [add_edge](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/add_edge.md) (method): Adds an edge to the graph.
- [add_edges](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/add_edges.md) (method): Add edges to the graph.
- [add_example](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/_VectorStoreExampleSelector/add_example.md) (method): Add a new example to vectorstore.
- [add_example](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/add_example.md) (method): Add new example to list.
- [add_example](https://reference.langchain.com/python/langchain-core/example_selectors/base/BaseExampleSelector/add_example.md) (method): Add new example to store.
- [add_handler](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/add_handler.md) (method): Add a handler to the callback manager.
- [add_message](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/add_message.md) (method): Add a Message object to the store.
- [add_message](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory/add_message.md) (method): Add a self-created message to the store.
- [add_messages](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/add_messages.md) (method): Add a list of messages
- [add_metadata](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/add_metadata.md) (method): Add metadata to the callback manager.
- [add_node](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/add_node.md) (method): Add a node to the graph and return it.
- [add_node](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/add_node.md) (method): Adds a node to the graph.
- [add_nodes](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/add_nodes.md) (method): Add nodes to the graph.
- [add_subgraph](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/add_subgraph.md) (method): Add subgraphs to the graph.
- [add_tags](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/add_tags.md) (method): Add tags to the callback manager.
- [add_texts](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/add_texts.md) (method): Run more texts through the embeddings and add to the `VectorStore`.
- [add_user_message](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/add_user_message.md) (method): Convenience method for adding a human message string to the store
- [adelete](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex/adelete.md) (method): Delete by IDs or other criteria
- [adelete](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/adelete.md) (method): Async delete by vector ID or other criteria.
- [adelete](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/adelete.md) (method)
- [adelete_keys](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/adelete_keys.md) (method): Asynchronously delete specified records from the database.
- [adelete_keys](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/adelete_keys.md) (method): Async delete specified records from the database.
- [aembed_documents](https://reference.langchain.com/python/langchain-core/embeddings/embeddings/Embeddings/aembed_documents.md) (method): Asynchronous Embed search docs.
- [aembed_query](https://reference.langchain.com/python/langchain-core/embeddings/embeddings/Embeddings/aembed_query.md) (method): Asynchronous Embed query text.
- [aexists](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/aexists.md) (method): Asynchronously check if the provided keys exist in the database.
- [aexists](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/aexists.md) (method): Async check if the provided keys exist in the database.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/aformat.md) (method): Async format the prompt with inputs generating a string
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/aformat.md) (method): Async format the prompt with inputs generating a string
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/aformat.md) (method): Format the prompt with the inputs.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/aformat.md) (method): Async format the prompt with the inputs.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/aformat.md) (method): Async format the prompt with the inputs.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/aformat.md) (method): Async format the prompt with the inputs.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/aformat.md) (method): Async format the prompt template.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatMessagePromptTemplate/aformat.md) (method): Async format the prompt template.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/aformat.md) (method): Async format the prompt template.
- [aformat](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/aformat.md) (method): Async format the chat template into a string.
- [aformat_messages](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/aformat_messages.md) (method): Async format messages from kwargs.
- [aformat_messages](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/aformat_messages.md) (method): Async format kwargs into a list of messages.
- [aformat_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/aformat_messages.md) (method): Async format messages from kwargs.
- [aformat_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/aformat_messages.md) (method): Async format messages from kwargs.
- [aformat_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/aformat_messages.md) (method): Async format kwargs into a list of messages.
- [aformat_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/aformat_messages.md) (method): Async format the chat template into a list of finalized messages.
- [aformat_prompt](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate/aformat_prompt.md) (method): Async format the prompt with the inputs.
- [aformat_prompt](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/aformat_prompt.md) (method): Async create `PromptValue`.
- [aformat_prompt](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/aformat_prompt.md) (method): Async format the prompt with the inputs.
- [aformat_prompt](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/aformat_prompt.md) (method): Async format prompt
- [afrom_documents](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/afrom_documents.md) (method): Async return `VectorStore` initialized from documents and embeddings.
- [afrom_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/SemanticSimilarityExampleSelector/afrom_examples.md) (method): Async create k-shot example selector using example list and embeddings
- [afrom_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/MaxMarginalRelevanceExampleSelector/afrom_examples.md) (method): Create k-shot example selector using example list and embeddings
- [afrom_texts](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/afrom_texts.md) (method): Async return `VectorStore` initialized from texts and embeddings.
- [afrom_texts](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/afrom_texts.md) (method)
- [agenerate](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/agenerate.md) (method): Asynchronously pass a sequence of prompts to a model and return generations
- [agenerate](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/agenerate.md) (method): Asynchronously pass a sequence of prompts to a model and return generations
- [agenerate_prompt](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/agenerate_prompt.md) (method)
- [agenerate_prompt](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/agenerate_prompt.md) (method): Asynchronously pass a sequence of prompts and return model generations
- [agenerate_prompt](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/agenerate_prompt.md) (method)
- [aget](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex/aget.md) (method): Get documents by id
- [aget_by_ids](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/aget_by_ids.md) (method): Async get documents by their IDs
- [aget_by_ids](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/aget_by_ids.md) (method): Async get documents by their ids.
- [aget_messages](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/aget_messages.md) (method): Async version of getting messages
- [aget_messages](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory/aget_messages.md) (method): Async version of getting messages
- [aget_time](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/aget_time.md) (method): Asynchronously get the current server time as a high resolution timestamp
- [aget_time](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/aget_time.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/retrievers/BaseRetriever/ainvoke.md) (method): Asynchronously invoke the retriever to get relevant documents
- [ainvoke](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/ainvoke.md) (method): Async invoke the prompt.
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/ainvoke.md) (method): Transform a single input into an output.
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/ainvoke.md) (method): Invoke this `Runnable` asynchronously.
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/tools/simple/Tool/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseGenerationOutputParser/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/ainvoke.md) (method)
- [ainvoke](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/ainvoke.md) (method)
- [alazy_load](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseLoader/alazy_load.md) (method): A lazy loader for `Document`.
- [alist_keys](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/alist_keys.md) (method): Asynchronously list records in the database based on the provided filters.
- [alist_keys](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/alist_keys.md) (method): Async list records in the database based on the provided filters.
- [aload](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseLoader/aload.md) (method): Load data into `Document` objects.
- [alookup](https://reference.langchain.com/python/langchain-core/caches/BaseCache/alookup.md) (method): Async look up based on `prompt` and `llm_string`
- [alookup](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache/alookup.md) (method): Async look up based on `prompt` and `llm_string`.
- [amax_marginal_relevance_search](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/amax_marginal_relevance_search.md) (method): Async return docs selected using the maximal marginal relevance
- [amax_marginal_relevance_search](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/amax_marginal_relevance_search.md) (method)
- [amax_marginal_relevance_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/amax_marginal_relevance_search_by_vector.md) (method): Async return docs selected using the maximal marginal relevance
- [amdelete](https://reference.langchain.com/python/langchain-core/stores/BaseStore/amdelete.md) (method): Async delete the given keys and their associated values.
- [amdelete](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/amdelete.md) (method)
- [amget](https://reference.langchain.com/python/langchain-core/stores/BaseStore/amget.md) (method): Async get the values associated with the given keys.
- [amget](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/amget.md) (method)
- [amset](https://reference.langchain.com/python/langchain-core/stores/BaseStore/amset.md) (method): Async set the values for the given keys.
- [amset](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/amset.md) (method)
- [aparse](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/aparse.md) (method): Async parse a single string model output into some structure.
- [aparse_result](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseLLMOutputParser/aparse_result.md) (method): Parse a list of candidate model `Generation` objects into a specific format.
- [aparse_result](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/aparse_result.md) (method): Parse a list of candidate model `Generation` objects into a specific format
- [append](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/append.md) (method): Append a message to the end of the chat template.
- [arun](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/arun.md) (method): Run the tool asynchronously.
- [as_bytes](https://reference.langchain.com/python/langchain-core/documents/base/Blob/as_bytes.md) (method): Read data as bytes.
- [as_bytes_io](https://reference.langchain.com/python/langchain-core/documents/base/Blob/as_bytes_io.md) (method): Read data as a byte stream.
- [as_retriever](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/as_retriever.md) (method): Return `VectorStoreRetriever` initialized from this `VectorStore`.
- [as_string](https://reference.langchain.com/python/langchain-core/documents/base/Blob/as_string.md) (method): Read data as a string.
- [as_tool](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/as_tool.md) (method): Create a `BaseTool` from a `Runnable`
- [asearch](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/asearch.md) (method): Async return docs most similar to query using a specified search type.
- [aselect_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/SemanticSimilarityExampleSelector/aselect_examples.md) (method): Asynchronously select examples based on semantic similarity.
- [aselect_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/MaxMarginalRelevanceExampleSelector/aselect_examples.md) (method): Asynchronously select examples based on Max Marginal Relevance.
- [aselect_examples](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/aselect_examples.md) (method): Async select which examples to use based on the input lengths.
- [aselect_examples](https://reference.langchain.com/python/langchain-core/example_selectors/base/BaseExampleSelector/aselect_examples.md) (method): Async select which examples to use based on the inputs.
- [asimilarity_search](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/asimilarity_search.md) (method): Async return docs most similar to query.
- [asimilarity_search](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/asimilarity_search.md) (method)
- [asimilarity_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/asimilarity_search_by_vector.md) (method): Async return docs most similar to embedding vector.
- [asimilarity_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/asimilarity_search_by_vector.md) (method)
- [asimilarity_search_with_relevance_scores](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/asimilarity_search_with_relevance_scores.md) (method): Async return docs and relevance scores in the range `[0, 1]`
- [asimilarity_search_with_score](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/asimilarity_search_with_score.md) (method): Async run similarity search with distance.
- [asimilarity_search_with_score](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/asimilarity_search_with_score.md) (method)
- [assign](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/assign.md) (method): Merge the Dict input with the output produced by the mapping argument.
- [assign](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/assign.md) (method): Assigns new fields to the `dict` output of this `Runnable`
- [astream](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/astream.md) (method): First evaluates the condition, then delegate to `True` or `False` branch.
- [astream](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/astream.md) (method): Default implementation of `astream`, which calls `ainvoke`
- [astream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/astream.md) (method)
- [astream](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeStreamingListLLM/astream.md) (method)
- [astream_events](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/astream_events.md) (method): Generate a stream of events
- [astream_events](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/astream_events.md) (method)
- [astream_events](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/astream_events.md) (method)
- [astream_log](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/astream_log.md) (method): Stream all output from a `Runnable`, as reported to the callback system
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/atransform.md) (method): Transform inputs to outputs
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/atransform.md) (method)
- [atransform](https://reference.langchain.com/python/langchain-core/output_parsers/transform/BaseTransformOutputParser/atransform.md) (method): Async transform the input into the output format.
- [atransform_documents](https://reference.langchain.com/python/langchain-core/documents/transformers/BaseDocumentTransformer/atransform_documents.md) (method): Asynchronously transform a list of documents.
- [aupdate](https://reference.langchain.com/python/langchain-core/caches/BaseCache/aupdate.md) (method): Async update cache based on `prompt` and `llm_string`
- [aupdate](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache/aupdate.md) (method): Async update cache based on `prompt` and `llm_string`.
- [aupdate](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/aupdate.md) (method): Asynchronously upsert records into the database.
- [aupdate](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/aupdate.md) (method): Async upsert records into the database.
- [aupsert](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex/aupsert.md) (method): Add or update documents in the `VectorStore`
- [ayield_keys](https://reference.langchain.com/python/langchain-core/stores/BaseStore/ayield_keys.md) (method): Async get an iterator over keys that match the given prefix.
- [ayield_keys](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/ayield_keys.md) (method): Async get an async iterator over keys that match the given prefix.
- [batch](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/batch.md) (method): Default implementation runs invoke in parallel using a thread pool executor
- [batch](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/batch.md) (method)
- [batch](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models/FakeListChatModel/batch.md) (method)
- [batch_as_completed](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/batch_as_completed.md) (method): Run `invoke` in parallel on a list of inputs
- [batch_as_completed](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/batch_as_completed.md) (method)
- [bind](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/bind.md) (method): Bind arguments to a `Runnable`, returning a new `Runnable`
- [bind](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEach/bind.md) (method)
- [bind](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBinding/bind.md) (method): Bind additional kwargs to a `Runnable`, returning a new `Runnable`.
- [bind_tools](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/bind_tools.md) (method): Bind tools to the model.
- [box](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/box.md) (method): Create a box on ASCII canvas.
- [check_blob_is_valid](https://reference.langchain.com/python/langchain-core/documents/base/Blob/check_blob_is_valid.md) (method): Verify that either data or path is provided.
- [check_examples_and_selector](https://reference.langchain.com/python/langchain-core/prompts/few_shot/_FewShotPromptTemplateMixin/check_examples_and_selector.md) (method): Check that one and only one of `examples`/`example_selector` are provided.
- [check_examples_and_selector](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/check_examples_and_selector.md) (method): Check that one and only one of examples/example_selector are provided.
- [clear](https://reference.langchain.com/python/langchain-core/caches/BaseCache/clear.md) (method): Clear cache that can take additional keyword arguments.
- [clear](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache/clear.md) (method): Clear cache.
- [clear](https://reference.langchain.com/python/langchain-core/chat_history/BaseChatMessageHistory/clear.md) (method): Remove all messages from the store.
- [clear](https://reference.langchain.com/python/langchain-core/chat_history/InMemoryChatMessageHistory/clear.md) (method): Clear all messages from the store.
- [close](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/_SendStream/close.md) (method): Schedule the done object write the queue using the original loop
- [close](https://reference.langchain.com/python/langchain-core/utils/iter/Tee/close.md) (method): Close all child iterators.
- [close](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/close.md) (method): Close the file if it's open
- [close](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/close.md) (method): Close the parser
- [coerce_args](https://reference.langchain.com/python/langchain-core/messages/tool/ToolMessage/coerce_args.md) (method): Coerce the model arguments to the correct types.
- [compress_documents](https://reference.langchain.com/python/langchain-core/documents/compressor/BaseDocumentCompressor/compress_documents.md) (method): Compress retrieved documents given the query context.
- [config_schema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/config_schema.md) (method): The type of config this `Runnable` accepts specified as a Pydantic model
- [configurable_alternatives](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSerializable/configurable_alternatives.md) (method): Configure alternatives for `Runnable` objects that can be set at runtime.
- [configurable_fields](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableFields/configurable_fields.md) (method)
- [configurable_fields](https://reference.langchain.com/python/langchain-core/runnables/configurable/RunnableConfigurableAlternatives/configurable_fields.md) (method)
- [configurable_fields](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSerializable/configurable_fields.md) (method): Configure particular `Runnable` fields at runtime.
- [configure](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/configure.md) (method): Configure the callback manager.
- [configure](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/configure.md) (method): Configure the async callback manager.
- [copy](https://reference.langchain.com/python/langchain-core/runnables/graph/Edge/copy.md) (method): Return a copy of the edge with optional new source and target nodes.
- [copy](https://reference.langchain.com/python/langchain-core/runnables/graph/Node/copy.md) (method): Return a copy of the node with optional new id and name.
- [copy](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup/copy.md) (method)
- [copy](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup/copy.md) (method): Return a copy the async callback manager.
- [copy](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/copy.md) (method): Return a copy of the callback manager.
- [create_schema](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/create_schema.md) (method): Create the database schema for the record manager.
- [create_schema](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/create_schema.md) (method): In-memory schema creation is simply ensuring the structure is initialized.
- [delete](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex/delete.md) (method): Delete by IDs or other criteria
- [delete](https://reference.langchain.com/python/langchain-core/indexing/in_memory/InMemoryDocumentIndex/delete.md) (method): Delete by IDs.
- [delete](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/delete.md) (method): Delete by vector ID or other criteria.
- [delete](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/delete.md) (method)
- [delete_keys](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/delete_keys.md) (method): Delete specified records from the database.
- [delete_keys](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/delete_keys.md) (method): Delete specified records from the database.
- [dict](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/dict.md) (method): Return dictionary representation of prompt.
- [dict](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/dict.md) (method): Return dictionary representation of output parser.
- [dict](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/dict.md) (method): Return a dictionary of the LLM.
- [dict](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/dict.md) (method): Return a dictionary of the LLM.
- [draw](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/draw.md) (method): Draws ASCII canvas on the screen.
- [draw](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/draw.md) (method): Draw the given state graph into a PNG file
- [draw_ascii](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/draw_ascii.md) (method): Draw the graph as an ASCII art string.
- [draw_mermaid](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/draw_mermaid.md) (method): Draw the graph as a Mermaid syntax string.
- [draw_mermaid_png](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/draw_mermaid_png.md) (method): Draw the graph as a PNG image using Mermaid.
- [draw_png](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/draw_png.md) (method): Draw the graph as a PNG image.
- [dump](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/dump.md) (method): Dump the vector store to a file.
- [embed_documents](https://reference.langchain.com/python/langchain-core/embeddings/fake/FakeEmbeddings/embed_documents.md) (method)
- [embed_documents](https://reference.langchain.com/python/langchain-core/embeddings/fake/DeterministicFakeEmbedding/embed_documents.md) (method)
- [embed_documents](https://reference.langchain.com/python/langchain-core/embeddings/embeddings/Embeddings/embed_documents.md) (method): Embed search docs.
- [embed_query](https://reference.langchain.com/python/langchain-core/embeddings/fake/FakeEmbeddings/embed_query.md) (method)
- [embed_query](https://reference.langchain.com/python/langchain-core/embeddings/fake/DeterministicFakeEmbedding/embed_query.md) (method)
- [embed_query](https://reference.langchain.com/python/langchain-core/embeddings/embeddings/Embeddings/embed_query.md) (method): Embed query text.
- [exists](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/exists.md) (method): Check if the provided keys exist in the database.
- [exists](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/exists.md) (method): Check if the provided keys exist in the database.
- [extend](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/extend.md) (method): Extend the chat template with a sequence of messages.
- [extend](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/extend.md) (method): Add all nodes and edges from another graph
- [first_node](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/first_node.md) (method): Find the single node that is not a target of any edge
- [flatten](https://reference.langchain.com/python/langchain-core/outputs/llm_result/LLMResult/flatten.md) (method): Flatten generations into a single list
- [format](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate/format.md) (method)
- [format](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/format.md) (method): Format the prompt with inputs generating a string
- [format](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/format.md) (method): Format the prompt with inputs generating a string
- [format](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/format.md) (method): Format the prompt with the inputs.
- [format](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/format.md) (method): Format the prompt with the inputs.
- [format](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/format.md) (method): Format the prompt with the inputs.
- [format](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/format.md) (method): Format the prompt with the inputs.
- [format](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/format.md) (method): Format the prompt with the inputs.
- [format](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/format.md) (method): Format the prompt template.
- [format](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatMessagePromptTemplate/format.md) (method): Format the prompt template.
- [format](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/format.md) (method): Format the prompt template.
- [format](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/format.md) (method): Format the chat template into a string.
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/format_messages.md) (method): Format messages from kwargs
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/format_messages.md) (method): Format kwargs into a list of messages.
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder/format_messages.md) (method): Format messages from kwargs.
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/format_messages.md) (method): Format messages from kwargs.
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/format_messages.md) (method): Format messages from kwargs.
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/format_messages.md) (method): Format kwargs into a list of messages.
- [format_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/format_messages.md) (method): Format the chat template into a list of finalized messages.
- [format_prompt](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate/format_prompt.md) (method): Format the prompt with the inputs.
- [format_prompt](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/format_prompt.md) (method): Create `PromptValue`.
- [format_prompt](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/format_prompt.md) (method): Format the prompt with the inputs.
- [format_prompt](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/format_prompt.md) (method): Format prompt
- [from_data](https://reference.langchain.com/python/langchain-core/documents/base/Blob/from_data.md) (method): Initialize the `Blob` from in-memory data.
- [from_documents](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/from_documents.md) (method): Return `VectorStore` initialized from documents and embeddings.
- [from_examples](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/from_examples.md) (method): Take examples in list format with prefix and suffix to create a prompt
- [from_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/SemanticSimilarityExampleSelector/from_examples.md) (method): Create k-shot example selector using example list and embeddings
- [from_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/MaxMarginalRelevanceExampleSelector/from_examples.md) (method): Create k-shot example selector using example list and embeddings
- [from_file](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/from_file.md) (method): Load a prompt from a file.
- [from_function](https://reference.langchain.com/python/langchain-core/tools/structured/StructuredTool/from_function.md) (method): Create tool from a given function
- [from_function](https://reference.langchain.com/python/langchain-core/tools/simple/Tool/from_function.md) (method): Initialize tool from a function.
- [from_messages](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/from_messages.md) (method): Create a chat prompt template from a variety of message formats.
- [from_messages_and_schema](https://reference.langchain.com/python/langchain-core/prompts/structured/StructuredPrompt/from_messages_and_schema.md) (method): Create a chat prompt template from a variety of message formats.
- [from_path](https://reference.langchain.com/python/langchain-core/documents/base/Blob/from_path.md) (method): Load the blob from a path like object.
- [from_template](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/from_template.md) (method): Load a prompt template from a template
- [from_template](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/from_template.md) (method): Create a class from a string template.
- [from_template](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/from_template.md) (method): Create a class from a string template.
- [from_template](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/from_template.md) (method): Create a chat prompt template from a template string
- [from_template_file](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/from_template_file.md) (method): Create a class from a template file.
- [from_template_file](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/from_template_file.md) (method): Create a class from a template file.
- [from_texts](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/from_texts.md) (method): Return `VectorStore` initialized from texts and embeddings.
- [from_texts](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/from_texts.md) (method)
- [generate](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/generate.md) (method): Pass a sequence of prompts to a model and return generations
- [generate](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/generate.md) (method): Pass a sequence of prompts to the model and return model generations
- [generate_prompt](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/generate_prompt.md) (method)
- [generate_prompt](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/generate_prompt.md) (method): Pass a sequence of prompts to the model and return model generations
- [generate_prompt](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/generate_prompt.md) (method)
- [get](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex/get.md) (method): Get documents by id
- [get](https://reference.langchain.com/python/langchain-core/indexing/in_memory/InMemoryDocumentIndex/get.md) (method)
- [get_breadcrumbs](https://reference.langchain.com/python/langchain-core/tracers/stdout/FunctionCallbackHandler/get_breadcrumbs.md) (method): Get the breadcrumbs of a run.
- [get_by_ids](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/get_by_ids.md) (method): Get documents by their IDs
- [get_by_ids](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/get_by_ids.md) (method): Get documents by their ids.
- [get_child](https://reference.langchain.com/python/langchain-core/callbacks/manager/ParentRunManager/get_child.md) (method): Get a child callback manager.
- [get_child](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncParentRunManager/get_child.md) (method): Get a child callback manager.
- [get_config_jsonschema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_config_jsonschema.md) (method): Get a JSON schema that represents the config of the `Runnable`.
- [get_edge_label](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/get_edge_label.md) (method): Returns the label to use for an edge.
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic/PydanticOutputParser/get_format_instructions.md) (method): Return the format instructions for the JSON output.
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/json/JsonOutputParser/get_format_instructions.md) (method): Return the format instructions for the JSON output.
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XMLOutputParser/get_format_instructions.md) (method): Return the format instructions for the XML output.
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/get_format_instructions.md) (method): Instructions on how the LLM output should be formatted.
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/list/CommaSeparatedListOutputParser/get_format_instructions.md) (method): Return the format instructions for the comma-separated list output.
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/list/NumberedListOutputParser/get_format_instructions.md) (method)
- [get_format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/list/MarkdownListOutputParser/get_format_instructions.md) (method): Return the format instructions for the Markdown list output.
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/get_graph.md) (method)
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/get_graph.md) (method)
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_graph.md) (method): Return a graph representation of this `Runnable`.
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/get_graph.md) (method): Get the graph representation of the `Runnable`.
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/get_graph.md) (method): Get the graph representation of the `Runnable`.
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/get_graph.md) (method)
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/get_graph.md) (method)
- [get_graph](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/get_graph.md) (method)
- [get_input_jsonschema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_input_jsonschema.md) (method): Get a JSON schema that represents the input to the `Runnable`.
- [get_input_schema](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/get_input_schema.md) (method): Get the input schema for the prompt.
- [get_input_schema](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/get_input_schema.md) (method): Get the input schema for the prompt.
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_input_schema.md) (method): Get a Pydantic model that can be used to validate input to the `Runnable`
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/get_input_schema.md) (method): Get the input schema of the `Runnable`.
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/get_input_schema.md) (method): Get the input schema of the `Runnable`.
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/get_input_schema.md) (method): The Pydantic schema for the input to this `Runnable`.
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/get_input_schema.md) (method)
- [get_input_schema](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/get_input_schema.md) (method): The tool's input schema.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/agents/AgentAction/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/agents/AgentFinish/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompt_values/PromptValue/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompt_values/StringPromptValue/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValue/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/get_lc_namespace.md) (method): Get the namespace of the LangChain object
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/structured/StructuredPrompt/get_lc_namespace.md) (method): Get the namespace of the LangChain object
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/outputs/generation/Generation/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/documents/base/Document/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/output_parsers/string/StrOutputParser/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_lc_namespace](https://reference.langchain.com/python/langchain-core/output_parsers/list/CommaSeparatedListOutputParser/get_lc_namespace.md) (method): Get the namespace of the LangChain object.
- [get_name](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/get_name.md) (method)
- [get_name](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/get_name.md) (method)
- [get_name](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_name.md) (method): Get the name of the `Runnable`.
- [get_name](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/get_name.md) (method): Get the name of the `Runnable`.
- [get_name](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEach/get_name.md) (method)
- [get_name](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/get_name.md) (method)
- [get_node_label](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/get_node_label.md) (method): Returns the label to use for a node.
- [get_noop_manager](https://reference.langchain.com/python/langchain-core/callbacks/manager/BaseRunManager/get_noop_manager.md) (method): Return a manager that doesn't perform any operations.
- [get_num_tokens](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/get_num_tokens.md) (method): Get the number of tokens present in the text
- [get_num_tokens_from_messages](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/get_num_tokens_from_messages.md) (method): Get the number of tokens in the messages
- [get_output_jsonschema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_output_jsonschema.md) (method): Get a JSON schema that represents the output of the `Runnable`.
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/get_output_schema.md) (method)
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/get_output_schema.md) (method)
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/get_output_schema.md) (method)
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/history/RunnableWithMessageHistory/get_output_schema.md) (method): Get a Pydantic model that can be used to validate output to the `Runnable`
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_output_schema.md) (method): Get a Pydantic model that can be used to validate output to the `Runnable`
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/get_output_schema.md) (method): Get the output schema of the `Runnable`.
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/get_output_schema.md) (method): Get the output schema of the `Runnable`.
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/get_output_schema.md) (method)
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/get_output_schema.md) (method)
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/get_output_schema.md) (method)
- [get_output_schema](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/get_output_schema.md) (method)
- [get_parents](https://reference.langchain.com/python/langchain-core/tracers/stdout/FunctionCallbackHandler/get_parents.md) (method): Get the parents of a run.
- [get_prompts](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/get_prompts.md) (method): Return a list of prompts used by this `Runnable`.
- [get_receive_stream](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/_MemoryStream/get_receive_stream.md) (method): Get a reader for the channel.
- [get_run_url](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/get_run_url.md) (method): Get the LangSmith root run URL.
- [get_send_stream](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/_MemoryStream/get_send_stream.md) (method): Get a writer for the channel.
- [get_sync](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncRunManager/get_sync.md) (method): Get the equivalent sync `RunManager`.
- [get_sync](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForLLMRun/get_sync.md) (method): Get the equivalent sync `RunManager`.
- [get_sync](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainRun/get_sync.md) (method): Get the equivalent sync `RunManager`.
- [get_sync](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForToolRun/get_sync.md) (method): Get the equivalent sync `RunManager`.
- [get_sync](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForRetrieverRun/get_sync.md) (method): Get the equivalent sync `RunManager`.
- [get_time](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/get_time.md) (method): Get the current server time as a high resolution timestamp! It's important to get this from the server to ensure a monotonic clock, otherwise there...
- [get_time](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/get_time.md) (method)
- [get_token_ids](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/get_token_ids.md) (method): Return the ordered IDs of the tokens in a text.
- [get_tools](https://reference.langchain.com/python/langchain-core/tools/base/BaseToolkit/get_tools.md) (method): Get all tools in the toolkit.
- [handle_invalid_for_json_schema](https://reference.langchain.com/python/langchain-core/utils/pydantic/_IgnoreUnserializable/handle_invalid_for_json_schema.md) (method)
- [include_event](https://reference.langchain.com/python/langchain-core/runnables/utils/_RootEventFilter/include_event.md) (method): Determine whether to include an event.
- [include_run](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/include_run.md) (method): Check if a `Run` should be included in the log.
- [init_server_tool_calls](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/init_server_tool_calls.md) (method): Initialize server tool calls
- [init_tool_calls](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessageChunk/init_tool_calls.md) (method): Initialize tool calls from tool call chunks.
- [invoke](https://reference.langchain.com/python/langchain-core/retrievers/BaseRetriever/invoke.md) (method): Invoke the retriever to get relevant documents
- [invoke](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/invoke.md) (method): Invoke the prompt.
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/invoke.md) (method): First evaluates the condition, then delegate to `True` or `False` branch.
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/invoke.md) (method): Transform a single input into an output.
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/invoke.md) (method): Invoke this `Runnable` synchronously.
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/runnables/retry/RunnableRetry/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseGenerationOutputParser/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/invoke.md) (method)
- [invoke](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/invoke.md) (method)
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/agents/AgentAction/is_lc_serializable.md) (method): `AgentAction` is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/agents/AgentFinish/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/prompt_values/PromptValue/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/is_lc_serializable.md) (method): `BaseMessage` is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/is_lc_serializable.md) (method): Is this class serializable? By design, even if a class inherits from `Serializable`, it is not serializable by default
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/is_lc_serializable.md) (method): Return `False` as this class is not serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/is_lc_serializable.md) (method): Return `False` as this class is not serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEachBase/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/outputs/generation/Generation/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/documents/base/Document/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/output_parsers/string/StrOutputParser/is_lc_serializable.md) (method): `StrOutputParser` is serializable.
- [is_lc_serializable](https://reference.langchain.com/python/langchain-core/output_parsers/list/CommaSeparatedListOutputParser/is_lc_serializable.md) (method): Return `True` as this class is serializable.
- [last_node](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/last_node.md) (method): Find the single node that is not a source of any edge
- [lazy_load](https://reference.langchain.com/python/langchain-core/chat_loaders/BaseChatLoader/lazy_load.md) (method): Lazy load the chat sessions.
- [lazy_load](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseLoader/lazy_load.md) (method): A lazy loader for `Document`.
- [lazy_load](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith/LangSmithLoader/lazy_load.md) (method)
- [lazy_parse](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseBlobParser/lazy_parse.md) (method): Lazy parsing interface
- [lc_id](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/lc_id.md) (method): Return a unique identifier for this class for serialization purposes
- [line](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/line.md) (method): Create a line on ASCII canvas.
- [list_keys](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/list_keys.md) (method): List records in the database based on the provided filters.
- [list_keys](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/list_keys.md) (method): List records in the database based on the provided filters.
- [load](https://reference.langchain.com/python/langchain-core/chat_loaders/BaseChatLoader/load.md) (method): Eagerly load the chat sessions into memory.
- [load](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseLoader/load.md) (method): Load data into `Document` objects.
- [load](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/load.md) (method): Load a vector store from a file.
- [load_and_split](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseLoader/load_and_split.md) (method): Load `Document` and split into chunks
- [lookup](https://reference.langchain.com/python/langchain-core/caches/BaseCache/lookup.md) (method): Look up based on `prompt` and `llm_string`
- [lookup](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache/lookup.md) (method): Look up based on `prompt` and `llm_string`.
- [map](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/map.md) (method): Return a new `Runnable` that maps a list of inputs to a list of outputs
- [map](https://reference.langchain.com/python/langchain-core/runnables/config/ContextThreadPoolExecutor/map.md) (method): Map a function to multiple iterables.
- [max_marginal_relevance_search](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/max_marginal_relevance_search.md) (method): Return docs selected using the maximal marginal relevance
- [max_marginal_relevance_search](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/max_marginal_relevance_search.md) (method)
- [max_marginal_relevance_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/max_marginal_relevance_search_by_vector.md) (method): Return docs selected using the maximal marginal relevance
- [max_marginal_relevance_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/max_marginal_relevance_search_by_vector.md) (method)
- [mdelete](https://reference.langchain.com/python/langchain-core/stores/BaseStore/mdelete.md) (method): Delete the given keys and their associated values.
- [mdelete](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/mdelete.md) (method)
- [merge](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup/merge.md) (method): Merge the group callback manager with another callback manager
- [merge](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup/merge.md) (method): Merge the group callback manager with another callback manager
- [merge](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/merge.md) (method): Merge the callback manager with another callback manager
- [mget](https://reference.langchain.com/python/langchain-core/stores/BaseStore/mget.md) (method): Get the values associated with the given keys.
- [mget](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/mget.md) (method)
- [mset](https://reference.langchain.com/python/langchain-core/stores/BaseStore/mset.md) (method): Set the values for the given keys.
- [mset](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/mset.md) (method)
- [next_id](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/next_id.md) (method): Return a new unique node identifier
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_agent_action.md) (method): Run on agent action.
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/on_agent_action.md) (method): Run on agent action.
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainRun/on_agent_action.md) (method): Run when agent action is received.
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainRun/on_agent_action.md) (method): Run when agent action is received.
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/on_agent_action.md) (method): Handle agent action by writing the action log.
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/base/ChainManagerMixin/on_agent_action.md) (method): Run on agent action.
- [on_agent_action](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_agent_action.md) (method): Run on agent action.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_agent_finish.md) (method): Run on the agent end.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/on_agent_finish.md) (method): Run on the agent end.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainRun/on_agent_finish.md) (method): Run when agent finish is received.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainRun/on_agent_finish.md) (method): Run when agent finish is received.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/on_agent_finish.md) (method): Handle agent finish by writing the finish log.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/base/ChainManagerMixin/on_agent_finish.md) (method): Run on the agent end.
- [on_agent_finish](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_agent_finish.md) (method): Run on the agent end.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_chain_end.md) (method): End a trace for a chain run.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_chain_end.md) (method): End a trace for a chain run.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_chain_end.md) (method)
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_chain_end.md) (method): Run when a chain ends running.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/on_chain_end.md) (method): Print out that we finished a chain.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainRun/on_chain_end.md) (method): Run when chain ends running.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainRun/on_chain_end.md) (method): Run when a chain ends running.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup/on_chain_end.md) (method): Run when traced chain group ends.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup/on_chain_end.md) (method): Run when traced chain group ends.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/on_chain_end.md) (method): Print that we finished a chain.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/base/ChainManagerMixin/on_chain_end.md) (method): Run when chain ends running.
- [on_chain_end](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_chain_end.md) (method): Run when a chain ends running.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_chain_error.md) (method): Handle an error for a chain run.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_chain_error.md) (method)
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_chain_error.md) (method): Run when chain errors.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainRun/on_chain_error.md) (method): Run when chain errors.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainRun/on_chain_error.md) (method): Run when chain errors.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForChainGroup/on_chain_error.md) (method): Run when chain errors.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForChainGroup/on_chain_error.md) (method): Run when chain errors.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/base/ChainManagerMixin/on_chain_error.md) (method): Run when chain errors.
- [on_chain_error](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_chain_error.md) (method): Run when chain errors.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_chain_start.md) (method): Start a trace for a chain run.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_chain_start.md) (method): Start a trace for a chain run.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_chain_start.md) (method)
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_chain_start.md) (method): Run when a chain starts running.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/on_chain_start.md) (method): Print out that we are entering a chain.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/on_chain_start.md) (method): Run when chain starts running.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/on_chain_start.md) (method): Async run when chain starts running.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/on_chain_start.md) (method): Print that we are entering a chain.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/base/CallbackManagerMixin/on_chain_start.md) (method): Run when a chain starts running.
- [on_chain_start](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_chain_start.md) (method): Run when a chain starts running.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/on_chat_model_start.md) (method): Start a trace for an LLM run.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_chat_model_start.md) (method): Start a trace for a chat model run.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_chat_model_start.md) (method): Start a trace for a chat model run.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_chat_model_start.md) (method)
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_chat_model_start.md) (method): Run when LLM starts running.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/on_chat_model_start.md) (method): Run when chat model starts running.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/on_chat_model_start.md) (method): Async run when LLM starts running.
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/callbacks/base/CallbackManagerMixin/on_chat_model_start.md) (method): Run when a chat model starts running
- [on_chat_model_start](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_chat_model_start.md) (method): Run when a chat model starts running
- [on_custom_event](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_custom_event.md) (method): Generate a custom astream event.
- [on_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/on_custom_event.md) (method): Dispatch an adhoc event to the handlers (async version)
- [on_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/on_custom_event.md) (method): Dispatch an adhoc event to the handlers (async version)
- [on_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/base/RunManagerMixin/on_custom_event.md) (method): Override to define a handler for a custom event.
- [on_custom_event](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_custom_event.md) (method): Override to define a handler for custom events.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_llm_end.md) (method): End a trace for a model run
- [on_llm_end](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_llm_end.md) (method): End a trace for an LLM or chat model run.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_llm_end.md) (method): End a trace for an LLM or chat model run.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_llm_end.md) (method): Run when LLM ends running.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForLLMRun/on_llm_end.md) (method): Run when LLM ends running.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForLLMRun/on_llm_end.md) (method): Run when LLM ends running.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/callbacks/base/LLMManagerMixin/on_llm_end.md) (method): Run when LLM ends running.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_llm_end.md) (method): Run when the model ends running.
- [on_llm_end](https://reference.langchain.com/python/langchain-core/callbacks/usage/UsageMetadataCallbackHandler/on_llm_end.md) (method): Collect token usage.
- [on_llm_error](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_llm_error.md) (method): Handle an error for an LLM run.
- [on_llm_error](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_llm_error.md) (method)
- [on_llm_error](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_llm_error.md) (method): Run when LLM errors.
- [on_llm_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForLLMRun/on_llm_error.md) (method): Run when LLM errors.
- [on_llm_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForLLMRun/on_llm_error.md) (method): Run when LLM errors.
- [on_llm_error](https://reference.langchain.com/python/langchain-core/callbacks/base/LLMManagerMixin/on_llm_error.md) (method): Run when LLM errors.
- [on_llm_error](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_llm_error.md) (method): Run when LLM errors.
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_llm_new_token.md) (method): Run on new output token
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_llm_new_token.md) (method): Run on new LLM token
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_llm_new_token.md) (method)
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_llm_new_token.md) (method): Run on new LLM token
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForLLMRun/on_llm_new_token.md) (method): Run when LLM generates a new token.
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForLLMRun/on_llm_new_token.md) (method): Run when LLM generates a new token.
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/callbacks/base/LLMManagerMixin/on_llm_new_token.md) (method): Run on new output token
- [on_llm_new_token](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_llm_new_token.md) (method): Run on new output token
- [on_llm_start](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_llm_start.md) (method): Start a trace for a (non-chat model) LLM run.
- [on_llm_start](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_llm_start.md) (method): Start a trace for an LLM run.
- [on_llm_start](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_llm_start.md) (method)
- [on_llm_start](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_llm_start.md) (method): Run when LLM starts running.
- [on_llm_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/on_llm_start.md) (method): Run when LLM starts running.
- [on_llm_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/on_llm_start.md) (method): Run when LLM starts running.
- [on_llm_start](https://reference.langchain.com/python/langchain-core/callbacks/base/CallbackManagerMixin/on_llm_start.md) (method): Run when LLM starts running
- [on_llm_start](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_llm_start.md) (method): Run when the model starts running
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_retriever_end.md) (method): Run when `Retriever` ends running.
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_retriever_end.md) (method): Run when the `Retriever` ends running.
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_retriever_end.md) (method)
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForRetrieverRun/on_retriever_end.md) (method): Run when retriever ends running.
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForRetrieverRun/on_retriever_end.md) (method): Run when the retriever ends running.
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/callbacks/base/RetrieverManagerMixin/on_retriever_end.md) (method): Run when `Retriever` ends running.
- [on_retriever_end](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_retriever_end.md) (method): Run on the retriever end.
- [on_retriever_error](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_retriever_error.md) (method): Run when `Retriever` errors.
- [on_retriever_error](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_retriever_error.md) (method)
- [on_retriever_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForRetrieverRun/on_retriever_error.md) (method): Run when retriever errors.
- [on_retriever_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForRetrieverRun/on_retriever_error.md) (method): Run when retriever errors.
- [on_retriever_error](https://reference.langchain.com/python/langchain-core/callbacks/base/RetrieverManagerMixin/on_retriever_error.md) (method): Run when `Retriever` errors.
- [on_retriever_error](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_retriever_error.md) (method): Run on retriever error.
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_retriever_start.md) (method): Run when `Retriever` starts running.
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_retriever_start.md) (method): Run when the `Retriever` starts running.
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_retriever_start.md) (method)
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/on_retriever_start.md) (method): Run when the retriever starts running.
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/on_retriever_start.md) (method): Run when the retriever starts running.
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/callbacks/base/CallbackManagerMixin/on_retriever_start.md) (method): Run when the `Retriever` starts running.
- [on_retriever_start](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_retriever_start.md) (method): Run on the retriever start.
- [on_retry](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_retry.md) (method): Run on retry.
- [on_retry](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_retry.md) (method)
- [on_retry](https://reference.langchain.com/python/langchain-core/callbacks/manager/RunManager/on_retry.md) (method): Run when a retry is received.
- [on_retry](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncRunManager/on_retry.md) (method): Async run when a retry is received.
- [on_retry](https://reference.langchain.com/python/langchain-core/callbacks/base/RunManagerMixin/on_retry.md) (method): Run on a retry event.
- [on_retry](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_retry.md) (method): Run on a retry event.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_text.md) (method): Run on an arbitrary text.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/on_text.md) (method): Run when the agent ends.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/manager/RunManager/on_text.md) (method): Run when a text is received.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncRunManager/on_text.md) (method): Run when a text is received.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/on_text.md) (method): Handle text output.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/base/RunManagerMixin/on_text.md) (method): Run on an arbitrary text.
- [on_text](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_text.md) (method): Run on an arbitrary text.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_tool_end.md) (method): End a trace for a tool run.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_tool_end.md) (method): End a trace for a tool run.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_tool_end.md) (method)
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_tool_end.md) (method): Run when tool ends running.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/stdout/StdOutCallbackHandler/on_tool_end.md) (method): If not the final action, print out observation.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForToolRun/on_tool_end.md) (method): Run when the tool ends running.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForToolRun/on_tool_end.md) (method): Async run when the tool ends running.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/file/FileCallbackHandler/on_tool_end.md) (method): Handle tool end by writing the output with optional prefixes.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/base/ToolManagerMixin/on_tool_end.md) (method): Run when the tool ends running.
- [on_tool_end](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_tool_end.md) (method): Run when the tool ends running.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_tool_error.md) (method): Run when tool errors.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_tool_error.md) (method): Handle an error for a tool run.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_tool_error.md) (method)
- [on_tool_error](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_tool_error.md) (method): Run when tool errors.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManagerForToolRun/on_tool_error.md) (method): Run when tool errors.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManagerForToolRun/on_tool_error.md) (method): Run when tool errors.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/callbacks/base/ToolManagerMixin/on_tool_error.md) (method): Run when tool errors.
- [on_tool_error](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_tool_error.md) (method): Run when tool errors.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/on_tool_start.md) (method): Start a trace for a tool run.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/tracers/base/BaseTracer/on_tool_start.md) (method): Start a trace for a tool run.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/tracers/base/AsyncBaseTracer/on_tool_start.md) (method)
- [on_tool_start](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout/StreamingStdOutCallbackHandler/on_tool_start.md) (method): Run when the tool starts running.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/CallbackManager/on_tool_start.md) (method): Run when tool starts running.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/callbacks/manager/AsyncCallbackManager/on_tool_start.md) (method): Run when the tool starts running.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/callbacks/base/CallbackManagerMixin/on_tool_start.md) (method): Run when the tool starts running.
- [on_tool_start](https://reference.langchain.com/python/langchain-core/callbacks/base/AsyncCallbackHandler/on_tool_start.md) (method): Run when the tool starts running.
- [parse](https://reference.langchain.com/python/langchain-core/document_loaders/base/BaseBlobParser/parse.md) (method): Eagerly parse the blob into a `Document` or list of `Document` objects
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic/PydanticOutputParser/parse.md) (method): Parse the output of an LLM call to a Pydantic object.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/string/StrOutputParser/parse.md) (method): Returns the input text with no changes.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/json/JsonOutputParser/parse.md) (method): Parse the output of an LLM call to a JSON object.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputToolsParser/parse.md) (method): Parse the output of an LLM call to a list of tool calls.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/xml/_StreamingParser/parse.md) (method): Parse a chunk of text.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/xml/XMLOutputParser/parse.md) (method): Parse the output of an LLM call.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/parse.md) (method): Parse a single string model output into some structure.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/list/ListOutputParser/parse.md) (method): Parse the output of an LLM call.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/list/CommaSeparatedListOutputParser/parse.md) (method): Parse the output of an LLM call.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/list/NumberedListOutputParser/parse.md) (method): Parse the output of an LLM call.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/list/MarkdownListOutputParser/parse.md) (method): Parse the output of an LLM call.
- [parse](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonOutputFunctionsParser/parse.md) (method): Parse the output of an LLM call to a JSON object.
- [parse_iter](https://reference.langchain.com/python/langchain-core/output_parsers/list/ListOutputParser/parse_iter.md) (method): Parse the output of an LLM call.
- [parse_iter](https://reference.langchain.com/python/langchain-core/output_parsers/list/NumberedListOutputParser/parse_iter.md) (method)
- [parse_iter](https://reference.langchain.com/python/langchain-core/output_parsers/list/MarkdownListOutputParser/parse_iter.md) (method)
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic/PydanticOutputParser/parse_result.md) (method): Parse the result of an LLM call to a Pydantic object.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/json/JsonOutputParser/parse_result.md) (method): Parse the result of an LLM call to a JSON object.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputToolsParser/parse_result.md) (method): Parse the result of an LLM call to a list of tool calls.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/JsonOutputKeyToolsParser/parse_result.md) (method): Parse the result of an LLM call to a list of tool calls.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools/PydanticToolsParser/parse_result.md) (method): Parse the result of an LLM call to a list of Pydantic objects.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseLLMOutputParser/parse_result.md) (method): Parse a list of candidate model `Generation` objects into a specific format.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/parse_result.md) (method): Parse a list of candidate model `Generation` objects into a specific format
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/OutputFunctionsParser/parse_result.md) (method): Parse the result of an LLM call to a JSON object.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonOutputFunctionsParser/parse_result.md) (method): Parse the result of an LLM call to a JSON object.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/JsonKeyOutputFunctionsParser/parse_result.md) (method): Parse the result of an LLM call to a JSON object.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticOutputFunctionsParser/parse_result.md) (method): Parse the result of an LLM call to a JSON object.
- [parse_result](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticAttrOutputFunctionsParser/parse_result.md) (method): Parse the result of an LLM call to a JSON object.
- [parse_with_prompt](https://reference.langchain.com/python/langchain-core/output_parsers/base/BaseOutputParser/parse_with_prompt.md) (method): Parse the output of an LLM call with the input prompt for context
- [partial](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/partial.md) (method): Return a partial of the prompt template.
- [partial](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/partial.md) (method): Get a new `ChatPromptTemplate` with some input variables already filled in.
- [pick](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/pick.md) (method): Pick keys from the output `dict` of this `Runnable`
- [pipe](https://reference.langchain.com/python/langchain-core/prompts/structured/StructuredPrompt/pipe.md) (method): Pipe the structured prompt to a language model.
- [pipe](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/pipe.md) (method): Pipe `Runnable` objects
- [point](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/point.md) (method): Create a point on ASCII canvas.
- [post_init](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/post_init.md) (method): Validate that the examples are formatted correctly.
- [pre_init_validation](https://reference.langchain.com/python/langchain-core/prompts/prompt/PromptTemplate/pre_init_validation.md) (method): Check that template and input variables are consistent.
- [prepare](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/prepare.md) (method): Prepare the `Runnable` for invocation.
- [pretty_print](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/pretty_print.md) (method): Print a pretty representation of the message.
- [pretty_print](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/pretty_print.md) (method): Print a human-readable representation.
- [pretty_print](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate/pretty_print.md) (method): Print a pretty representation of the prompt.
- [pretty_print](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/pretty_print.md) (method): Print a human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/messages/ai/AIMessage/pretty_repr.md) (method): Return a pretty representation of the message for display.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/messages/base/BaseMessage/pretty_repr.md) (method): Get a pretty representation of the message.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/message/BaseMessagePromptTemplate/pretty_repr.md) (method): Human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/string/StringPromptTemplate/pretty_repr.md) (method): Get a pretty representation of the prompt.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotChatMessagePromptTemplate/pretty_repr.md) (method): Return a pretty representation of the prompt template.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/dict/DictPromptTemplate/pretty_repr.md) (method): Human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/image/ImagePromptTemplate/pretty_repr.md) (method): Return a pretty representation of the prompt.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/chat/MessagesPlaceholder/pretty_repr.md) (method): Human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseStringMessagePromptTemplate/pretty_repr.md) (method): Human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/chat/_StringImageMessagePromptTemplate/pretty_repr.md) (method): Human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/chat/BaseChatPromptTemplate/pretty_repr.md) (method): Human-readable representation.
- [pretty_repr](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/pretty_repr.md) (method): Human-readable representation.
- [print_ascii](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/print_ascii.md) (method): Print the graph as an ASCII art string.
- [reid](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/reid.md) (method): Return a new graph with all nodes re-identified
- [remove_handler](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/remove_handler.md) (method): Remove a handler from the callback manager.
- [remove_metadata](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/remove_metadata.md) (method): Remove metadata from the callback manager.
- [remove_node](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/remove_node.md) (method): Remove a node from the graph and all edges connected to it.
- [remove_tags](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/remove_tags.md) (method): Remove tags from the callback manager.
- [run](https://reference.langchain.com/python/langchain-core/tools/base/BaseTool/run.md) (method): Run the tool.
- [save](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/save.md) (method): Save the prompt template to a file.
- [save](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/save.md) (method): Save the prompt to a file.
- [save](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/save.md) (method): Save the prompt.
- [save](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/save.md) (method): Save prompt to file.
- [save](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/save.md) (method): Save the LLM.
- [score](https://reference.langchain.com/python/langchain-core/cross_encoders/BaseCrossEncoder/score.md) (method): Score pairs' similarity.
- [search](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/search.md) (method): Return docs most similar to query using a specified search type.
- [select_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/SemanticSimilarityExampleSelector/select_examples.md) (method): Select examples based on semantic similarity.
- [select_examples](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity/MaxMarginalRelevanceExampleSelector/select_examples.md) (method): Select examples based on Max Marginal Relevance.
- [select_examples](https://reference.langchain.com/python/langchain-core/example_selectors/length_based/LengthBasedExampleSelector/select_examples.md) (method): Select which examples to use based on the input lengths.
- [select_examples](https://reference.langchain.com/python/langchain-core/example_selectors/base/BaseExampleSelector/select_examples.md) (method): Select which examples to use based on the inputs.
- [send](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/send.md) (method): Send a patch to the stream, return `False` if the stream is closed.
- [send](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/_SendStream/send.md) (method): Schedule the item to be written to the queue using the original loop
- [send_nowait](https://reference.langchain.com/python/langchain-core/tracers/memory_stream/_SendStream/send_nowait.md) (method): Schedule the item to be written to the queue using the original loop
- [set_handler](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/set_handler.md) (method): Set handler as the only handler on the callback manager.
- [set_handlers](https://reference.langchain.com/python/langchain-core/callbacks/base/BaseCallbackManager/set_handlers.md) (method): Set handlers as the only handlers on the callback manager.
- [set_text](https://reference.langchain.com/python/langchain-core/outputs/chat_generation/ChatGeneration/set_text.md) (method): Set the text attribute to be the contents of the message.
- [set_verbose](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/set_verbose.md) (method): If verbose is `None`, set it
- [setpath](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/_EdgeViewer/setpath.md) (method)
- [similarity_search](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/similarity_search.md) (method): Return docs most similar to query.
- [similarity_search](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/similarity_search.md) (method)
- [similarity_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/similarity_search_by_vector.md) (method): Return docs most similar to embedding vector.
- [similarity_search_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/similarity_search_by_vector.md) (method)
- [similarity_search_with_relevance_scores](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/similarity_search_with_relevance_scores.md) (method): Return docs and relevance scores in the range `[0, 1]`
- [similarity_search_with_score](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStore/similarity_search_with_score.md) (method): Run similarity search with distance.
- [similarity_search_with_score](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/similarity_search_with_score.md) (method)
- [similarity_search_with_score_by_vector](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory/InMemoryVectorStore/similarity_search_with_score_by_vector.md) (method): Search for the most similar documents to the given embedding.
- [stream](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/fallbacks/RunnableWithFallbacks/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/router/RouterRunnable/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/branch/RunnableBranch/stream.md) (method): First evaluates the condition, then delegate to `True` or `False` branch.
- [stream](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/stream.md) (method): Default implementation of `stream`, which calls `invoke`
- [stream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/language_models/llms/BaseLLM/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/stream.md) (method)
- [stream](https://reference.langchain.com/python/langchain-core/language_models/fake/FakeStreamingListLLM/stream.md) (method)
- [submit](https://reference.langchain.com/python/langchain-core/runnables/config/ContextThreadPoolExecutor/submit.md) (method): Submit a function to the executor.
- [tap_output_aiter](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/tap_output_aiter.md) (method): Tap an output async iterator to stream its values to the log.
- [tap_output_aiter](https://reference.langchain.com/python/langchain-core/tracers/_streaming/_StreamingCallbackHandler/tap_output_aiter.md) (method): Used for internal astream_log and astream events implementations.
- [tap_output_aiter](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/tap_output_aiter.md) (method): Tap the output aiter
- [tap_output_iter](https://reference.langchain.com/python/langchain-core/tracers/log_stream/LogStreamCallbackHandler/tap_output_iter.md) (method): Tap an output iterator to stream its values to the log.
- [tap_output_iter](https://reference.langchain.com/python/langchain-core/tracers/_streaming/_StreamingCallbackHandler/tap_output_iter.md) (method): Used for internal astream_log and astream events implementations.
- [tap_output_iter](https://reference.langchain.com/python/langchain-core/tracers/event_stream/_AstreamEventsCallbackHandler/tap_output_iter.md) (method): Tap the output iter.
- [template_is_valid](https://reference.langchain.com/python/langchain-core/prompts/few_shot/FewShotPromptTemplate/template_is_valid.md) (method): Check that prefix, suffix, and input variables are consistent.
- [template_is_valid](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates/FewShotPromptWithTemplates/template_is_valid.md) (method): Check that prefix, suffix, and input variables are consistent.
- [text](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii/AsciiCanvas/text.md) (method): Print a text on ASCII canvas.
- [to_json](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/to_json.md) (method): Serialize the object to JSON.
- [to_json](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/to_json.md) (method): Convert the graph to a JSON-serializable format.
- [to_json](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSerializable/to_json.md) (method): Serialize the `Runnable` to JSON.
- [to_json_not_implemented](https://reference.langchain.com/python/langchain-core/load/serializable/Serializable/to_json_not_implemented.md) (method): Serialize a "not implemented" object.
- [to_messages](https://reference.langchain.com/python/langchain-core/prompt_values/PromptValue/to_messages.md) (method): Return prompt as a list of messages.
- [to_messages](https://reference.langchain.com/python/langchain-core/prompt_values/StringPromptValue/to_messages.md) (method): Return prompt as messages.
- [to_messages](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValue/to_messages.md) (method): Return prompt as a list of messages.
- [to_messages](https://reference.langchain.com/python/langchain-core/prompt_values/ImagePromptValue/to_messages.md) (method): Return prompt (image URL) as messages.
- [to_string](https://reference.langchain.com/python/langchain-core/prompt_values/PromptValue/to_string.md) (method): Return prompt value as string.
- [to_string](https://reference.langchain.com/python/langchain-core/prompt_values/StringPromptValue/to_string.md) (method): Return prompt as string.
- [to_string](https://reference.langchain.com/python/langchain-core/prompt_values/ChatPromptValue/to_string.md) (method): Return prompt as string.
- [to_string](https://reference.langchain.com/python/langchain-core/prompt_values/ImagePromptValue/to_string.md) (method): Return prompt (image URL) as string.
- [transform](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePassthrough/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnableAssign/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/passthrough/RunnablePick/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/transform.md) (method): Transform inputs to outputs
- [transform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableSequence/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableParallel/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableGenerator/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLambda/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBindingBase/transform.md) (method)
- [transform](https://reference.langchain.com/python/langchain-core/output_parsers/transform/BaseTransformOutputParser/transform.md) (method): Transform the input into the output format.
- [transform_documents](https://reference.langchain.com/python/langchain-core/documents/transformers/BaseDocumentTransformer/transform_documents.md) (method): Transform a list of documents.
- [trim_first_node](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/trim_first_node.md) (method): Remove the first node if it exists and has a single outgoing edge
- [trim_last_node](https://reference.langchain.com/python/langchain-core/runnables/graph/Graph/trim_last_node.md) (method): Remove the last node if it exists and has a single incoming edge
- [update](https://reference.langchain.com/python/langchain-core/caches/BaseCache/update.md) (method): Update cache based on `prompt` and `llm_string`
- [update](https://reference.langchain.com/python/langchain-core/caches/InMemoryCache/update.md) (method): Update cache based on `prompt` and `llm_string`.
- [update](https://reference.langchain.com/python/langchain-core/indexing/base/RecordManager/update.md) (method): Upsert records into the database.
- [update](https://reference.langchain.com/python/langchain-core/indexing/base/InMemoryRecordManager/update.md) (method): Upsert records into the database.
- [update_styles](https://reference.langchain.com/python/langchain-core/runnables/graph_png/PngDrawer/update_styles.md) (method): Update the styles of the entrypoint and END nodes.
- [upsert](https://reference.langchain.com/python/langchain-core/indexing/base/DocumentIndex/upsert.md) (method): Upsert documents into the index
- [upsert](https://reference.langchain.com/python/langchain-core/indexing/in_memory/InMemoryDocumentIndex/upsert.md) (method): Upsert documents into the index.
- [validate_input_variables](https://reference.langchain.com/python/langchain-core/prompts/chat/ChatPromptTemplate/validate_input_variables.md) (method): Validate input variables
- [validate_input_variables](https://reference.langchain.com/python/langchain-core/utils/formatting/StrictFormatter/validate_input_variables.md) (method): Validate that input variables match the placeholders in a format string
- [validate_schema](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions/PydanticOutputFunctionsParser/validate_schema.md) (method): Validate the Pydantic schema.
- [validate_search_type](https://reference.langchain.com/python/langchain-core/vectorstores/base/VectorStoreRetriever/validate_search_type.md) (method): Validate search type.
- [validate_variable_names](https://reference.langchain.com/python/langchain-core/prompts/base/BasePromptTemplate/validate_variable_names.md) (method): Validate variable names do not include restricted names.
- [vformat](https://reference.langchain.com/python/langchain-core/utils/formatting/StrictFormatter/vformat.md) (method): Format a string using only keyword arguments
- [visit_AsyncFunctionDef](https://reference.langchain.com/python/langchain-core/runnables/utils/IsFunctionArgDict/visit_AsyncFunctionDef.md) (method): Visit an async function definition.
- [visit_AsyncFunctionDef](https://reference.langchain.com/python/langchain-core/runnables/utils/FunctionNonLocals/visit_AsyncFunctionDef.md) (method): Visit an async function definition.
- [visit_Attribute](https://reference.langchain.com/python/langchain-core/runnables/utils/NonLocals/visit_Attribute.md) (method): Visit an attribute node.
- [visit_Call](https://reference.langchain.com/python/langchain-core/runnables/utils/IsLocalDict/visit_Call.md) (method): Visit a call node.
- [visit_comparison](https://reference.langchain.com/python/langchain-core/structured_query/Visitor/visit_comparison.md) (method): Translate a Comparison.
- [visit_FunctionDef](https://reference.langchain.com/python/langchain-core/runnables/utils/IsFunctionArgDict/visit_FunctionDef.md) (method): Visit a function definition.
- [visit_FunctionDef](https://reference.langchain.com/python/langchain-core/runnables/utils/FunctionNonLocals/visit_FunctionDef.md) (method): Visit a function definition.
- [visit_Lambda](https://reference.langchain.com/python/langchain-core/runnables/utils/IsFunctionArgDict/visit_Lambda.md) (method): Visit a lambda function.
- [visit_Lambda](https://reference.langchain.com/python/langchain-core/runnables/utils/FunctionNonLocals/visit_Lambda.md) (method): Visit a lambda function.
- [visit_Lambda](https://reference.langchain.com/python/langchain-core/runnables/utils/GetLambdaSource/visit_Lambda.md) (method): Visit a lambda function.
- [visit_Name](https://reference.langchain.com/python/langchain-core/runnables/utils/NonLocals/visit_Name.md) (method): Visit a name node.
- [visit_operation](https://reference.langchain.com/python/langchain-core/structured_query/Visitor/visit_operation.md) (method): Translate an Operation.
- [visit_structured_query](https://reference.langchain.com/python/langchain-core/structured_query/Visitor/visit_structured_query.md) (method): Translate a StructuredQuery.
- [visit_Subscript](https://reference.langchain.com/python/langchain-core/runnables/utils/IsLocalDict/visit_Subscript.md) (method): Visit a subscript node.
- [wait_for_futures](https://reference.langchain.com/python/langchain-core/tracers/evaluation/EvaluatorCallbackHandler/wait_for_futures.md) (method): Wait for all futures to complete.
- [wait_for_futures](https://reference.langchain.com/python/langchain-core/tracers/langchain/LangChainTracer/wait_for_futures.md) (method): Wait for the given futures to complete.
- [with_alisteners](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/with_alisteners.md) (method): Bind async lifecycle listeners to a `Runnable`
- [with_alisteners](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEach/with_alisteners.md) (method): Bind async lifecycle listeners to a `Runnable`
- [with_config](https://reference.langchain.com/python/langchain-core/runnables/configurable/DynamicRunnable/with_config.md) (method)
- [with_config](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/with_config.md) (method): Bind config to a `Runnable`, returning a new `Runnable`.
- [with_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEach/with_config.md) (method)
- [with_config](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBinding/with_config.md) (method)
- [with_fallbacks](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/with_fallbacks.md) (method): Add fallbacks to a `Runnable`, returning a new `Runnable`
- [with_listeners](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/with_listeners.md) (method): Bind lifecycle listeners to a `Runnable`, returning a new `Runnable`
- [with_listeners](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableEach/with_listeners.md) (method): Bind lifecycle listeners to a `Runnable`, returning a new `Runnable`
- [with_listeners](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBinding/with_listeners.md) (method): Bind lifecycle listeners to a `Runnable`, returning a new `Runnable`
- [with_retry](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/with_retry.md) (method): Create a new `Runnable` that retries the original `Runnable` on exceptions.
- [with_retry](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBinding/with_retry.md) (method)
- [with_structured_output](https://reference.langchain.com/python/langchain-core/language_models/base/BaseLanguageModel/with_structured_output.md) (method): Not implemented on this class.
- [with_structured_output](https://reference.langchain.com/python/langchain-core/language_models/chat_models/BaseChatModel/with_structured_output.md) (method): Model wrapper that returns outputs formatted to match the given schema.
- [with_types](https://reference.langchain.com/python/langchain-core/runnables/base/Runnable/with_types.md) (method): Bind input and output types to a `Runnable`, returning a new `Runnable`.
- [with_types](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableBinding/with_types.md) (method)
- [yield_blobs](https://reference.langchain.com/python/langchain-core/document_loaders/blob_loaders/BlobLoader/yield_blobs.md) (method): A lazy loader for raw data represented by LangChain's `Blob` object.
- [yield_keys](https://reference.langchain.com/python/langchain-core/stores/BaseStore/yield_keys.md) (method): Get an iterator over keys that match the given prefix.
- [yield_keys](https://reference.langchain.com/python/langchain-core/stores/InMemoryBaseStore/yield_keys.md) (method): Get an iterator over keys that match the given prefix.

#### Modules

- [agents](https://reference.langchain.com/python/langchain-core/agents.md) (module): Schema definitions for representing agent actions, observations, and return values
- [ai](https://reference.langchain.com/python/langchain-core/messages/ai.md) (module): AI message.
- [aiter](https://reference.langchain.com/python/langchain-core/utils/aiter.md) (module): Asynchronous iterator utilities
- [anthropic](https://reference.langchain.com/python/langchain-core/messages/block_translators/anthropic.md) (module): Derivations of standard content blocks from Anthropic content.
- [api](https://reference.langchain.com/python/langchain-core/indexing/api.md) (module): Module contains logic for indexing documents into vector stores.
- [base](https://reference.langchain.com/python/langchain-core/messages/base.md) (module): Base message.
- [base](https://reference.langchain.com/python/langchain-core/document_loaders/base.md) (module): Abstract interface for document loader implementations.
- [base](https://reference.langchain.com/python/langchain-core/indexing/base.md) (module): Base classes for indexing.
- [base](https://reference.langchain.com/python/langchain-core/prompts/base.md) (module): Base class for prompt templates.
- [base](https://reference.langchain.com/python/langchain-core/runnables/base.md) (module): Base classes and utilities for `Runnable` objects.
- [base](https://reference.langchain.com/python/langchain-core/vectorstores/base.md) (module): A vector store stores embedded data and performs vector search
- [base](https://reference.langchain.com/python/langchain-core/tracers/base.md) (module): Base interfaces for tracing runs.
- [base](https://reference.langchain.com/python/langchain-core/tools/base.md) (module): Base classes and utilities for LangChain tools.
- [base](https://reference.langchain.com/python/langchain-core/documents/base.md) (module): Base classes for media and documents
- [base](https://reference.langchain.com/python/langchain-core/callbacks/base.md) (module): Base callback handler for LangChain.
- [base](https://reference.langchain.com/python/langchain-core/example_selectors/base.md) (module): Interface for selecting examples to include in prompts.
- [base](https://reference.langchain.com/python/langchain-core/output_parsers/base.md) (module): Base parser for language model outputs.
- [base](https://reference.langchain.com/python/langchain-core/language_models/base.md) (module): Base language models class.
- [bedrock](https://reference.langchain.com/python/langchain-core/messages/block_translators/bedrock.md) (module): Derivations of standard content blocks from Bedrock content.
- [bedrock_converse](https://reference.langchain.com/python/langchain-core/messages/block_translators/bedrock_converse.md) (module): Derivations of standard content blocks from Amazon (Bedrock Converse) content.
- [beta_decorator](https://reference.langchain.com/python/langchain-core/_api/beta_decorator.md) (module): Helper functions for marking parts of the LangChain API as beta
- [blob_loaders](https://reference.langchain.com/python/langchain-core/document_loaders/blob_loaders.md) (module): Schema for Blobs and Blob Loaders
- [block_translators](https://reference.langchain.com/python/langchain-core/messages/block_translators.md) (module): Derivations of standard content blocks from provider content
- [branch](https://reference.langchain.com/python/langchain-core/runnables/branch.md) (module): Runnable that selects which branch to run based on a condition.
- [caches](https://reference.langchain.com/python/langchain-core/caches.md) (module): Optional caching layer for language models
- [callbacks](https://reference.langchain.com/python/langchain-core/callbacks.md) (module): Callback handlers allow listening to events in LangChain.
- [chat](https://reference.langchain.com/python/langchain-core/messages/chat.md) (module): Chat Message.
- [chat](https://reference.langchain.com/python/langchain-core/prompts/chat.md) (module): Chat prompt template.
- [chat_generation](https://reference.langchain.com/python/langchain-core/outputs/chat_generation.md) (module): Chat generation output classes.
- [chat_history](https://reference.langchain.com/python/langchain-core/chat_history.md) (module): Chat message history stores a history of the message interactions in a chat.
- [chat_loaders](https://reference.langchain.com/python/langchain-core/chat_loaders.md) (module): Chat loaders.
- [chat_models](https://reference.langchain.com/python/langchain-core/language_models/chat_models.md) (module): Chat models for conversational AI.
- [chat_result](https://reference.langchain.com/python/langchain-core/outputs/chat_result.md) (module): Chat result schema.
- [chat_sessions](https://reference.langchain.com/python/langchain-core/chat_sessions.md) (module): **Chat Sessions** are a collection of messages and function calls.
- [compressor](https://reference.langchain.com/python/langchain-core/documents/compressor.md) (module): Document compressor.
- [config](https://reference.langchain.com/python/langchain-core/runnables/config.md) (module): Configuration utilities for `Runnable` objects.
- [configurable](https://reference.langchain.com/python/langchain-core/runnables/configurable.md) (module): `Runnable` objects that can be dynamically configured.
- [content](https://reference.langchain.com/python/langchain-core/messages/content.md) (module): Standard, multimodal content blocks for Large Language Model I/O
- [context](https://reference.langchain.com/python/langchain-core/tracers/context.md) (module): Context management for tracers.
- [convert](https://reference.langchain.com/python/langchain-core/tools/convert.md) (module): Convert functions and runnables to tools.
- [core](https://reference.langchain.com/python/langchain-core/tracers/core.md) (module): Utilities for the root listener.
- [cross_encoders](https://reference.langchain.com/python/langchain-core/cross_encoders.md) (module): Cross Encoder interface.
- [deprecation](https://reference.langchain.com/python/langchain-core/_api/deprecation.md) (module): Helper functions for deprecating parts of the LangChain API
- [dict](https://reference.langchain.com/python/langchain-core/prompts/dict.md) (module): Dictionary prompt template.
- [document_loaders](https://reference.langchain.com/python/langchain-core/document_loaders.md) (module): Document loaders.
- [documents](https://reference.langchain.com/python/langchain-core/documents.md) (module): Documents module for data retrieval and processing workflows
- [dump](https://reference.langchain.com/python/langchain-core/load/dump.md) (module): Serialize LangChain objects to JSON
- [embeddings](https://reference.langchain.com/python/langchain-core/embeddings.md) (module): Embeddings.
- [embeddings](https://reference.langchain.com/python/langchain-core/embeddings/embeddings.md) (module): **Embeddings** interface.
- [env](https://reference.langchain.com/python/langchain-core/env.md) (module): Utilities for getting information about the runtime environment.
- [env](https://reference.langchain.com/python/langchain-core/utils/env.md) (module): Utilities for environment variables.
- [evaluation](https://reference.langchain.com/python/langchain-core/tracers/evaluation.md) (module): A tracer that runs evaluators over completed runs.
- [event_stream](https://reference.langchain.com/python/langchain-core/tracers/event_stream.md) (module): Internal tracer to power the event stream API.
- [example_selectors](https://reference.langchain.com/python/langchain-core/example_selectors.md) (module): Example selectors
- [exceptions](https://reference.langchain.com/python/langchain-core/exceptions.md) (module): Custom **exceptions** for LangChain.
- [fake](https://reference.langchain.com/python/langchain-core/embeddings/fake.md) (module): Module contains a few fake embedding models for testing purposes.
- [fake](https://reference.langchain.com/python/langchain-core/language_models/fake.md) (module): Fake LLMs for testing purposes.
- [fake_chat_models](https://reference.langchain.com/python/langchain-core/language_models/fake_chat_models.md) (module): Fake chat models for testing purposes.
- [fallbacks](https://reference.langchain.com/python/langchain-core/runnables/fallbacks.md) (module): `Runnable` that can fallback to other `Runnable` objects if it fails.
- [few_shot](https://reference.langchain.com/python/langchain-core/prompts/few_shot.md) (module): Prompt template that contains few shot examples.
- [few_shot_with_templates](https://reference.langchain.com/python/langchain-core/prompts/few_shot_with_templates.md) (module): Prompt template that contains few shot examples.
- [file](https://reference.langchain.com/python/langchain-core/callbacks/file.md) (module): Callback handler that writes to a file.
- [format_instructions](https://reference.langchain.com/python/langchain-core/output_parsers/format_instructions.md) (module): Format instructions.
- [formatting](https://reference.langchain.com/python/langchain-core/utils/formatting.md) (module): Utilities for formatting strings.
- [function](https://reference.langchain.com/python/langchain-core/messages/function.md) (module): Function Message.
- [function_calling](https://reference.langchain.com/python/langchain-core/utils/function_calling.md) (module): Methods for creating function specs in the style of OpenAI Functions.
- [generation](https://reference.langchain.com/python/langchain-core/outputs/generation.md) (module): Generation output schema.
- [globals](https://reference.langchain.com/python/langchain-core/globals.md) (module): Global values and configuration that apply to all of LangChain.
- [google_genai](https://reference.langchain.com/python/langchain-core/messages/block_translators/google_genai.md) (module): Derivations of standard content blocks from Google (GenAI) content.
- [google_vertexai](https://reference.langchain.com/python/langchain-core/messages/block_translators/google_vertexai.md) (module): Derivations of standard content blocks from Google (VertexAI) content.
- [graph](https://reference.langchain.com/python/langchain-core/runnables/graph.md) (module): Graph used in `Runnable` objects.
- [graph_ascii](https://reference.langchain.com/python/langchain-core/runnables/graph_ascii.md) (module): Draws DAG in ASCII
- [graph_mermaid](https://reference.langchain.com/python/langchain-core/runnables/graph_mermaid.md) (module): Mermaid graph drawing utilities.
- [graph_png](https://reference.langchain.com/python/langchain-core/runnables/graph_png.md) (module): Helper class to draw a state graph into a PNG file.
- [groq](https://reference.langchain.com/python/langchain-core/messages/block_translators/groq.md) (module): Derivations of standard content blocks from Groq content.
- [history](https://reference.langchain.com/python/langchain-core/runnables/history.md) (module): `Runnable` that manages chat message history for another `Runnable`.
- [html](https://reference.langchain.com/python/langchain-core/utils/html.md) (module): Utilities for working with HTML.
- [human](https://reference.langchain.com/python/langchain-core/messages/human.md) (module): Human message.
- [image](https://reference.langchain.com/python/langchain-core/prompts/image.md) (module): Image prompt template for a multimodal model.
- [image](https://reference.langchain.com/python/langchain-core/utils/image.md) (module): Utilities for image processing.
- [in_memory](https://reference.langchain.com/python/langchain-core/indexing/in_memory.md) (module): In memory document index.
- [in_memory](https://reference.langchain.com/python/langchain-core/vectorstores/in_memory.md) (module): In-memory vector store.
- [indexing](https://reference.langchain.com/python/langchain-core/indexing.md) (module): Code to help indexing data into a vectorstore
- [input](https://reference.langchain.com/python/langchain-core/utils/input.md) (module): Handle chained inputs.
- [interactive_env](https://reference.langchain.com/python/langchain-core/utils/interactive_env.md) (module): Utilities for working with interactive environments.
- [internal](https://reference.langchain.com/python/langchain-core/_api/internal.md) (module)
- [iter](https://reference.langchain.com/python/langchain-core/utils/iter.md) (module): Utilities for working with iterators.
- [json](https://reference.langchain.com/python/langchain-core/utils/json.md) (module): Utilities for JSON.
- [json](https://reference.langchain.com/python/langchain-core/output_parsers/json.md) (module): Parser for JSON output.
- [json_schema](https://reference.langchain.com/python/langchain-core/utils/json_schema.md) (module): Utilities for JSON Schema.
- [langchain](https://reference.langchain.com/python/langchain-core/tracers/langchain.md) (module): A tracer implementation that records to LangChain endpoint.
- [langchain_core](https://reference.langchain.com/python/langchain-core/langchain_core.md) (module): `langchain-core` defines the base abstractions for the LangChain ecosystem
- [langchain_v0](https://reference.langchain.com/python/langchain-core/messages/block_translators/langchain_v0.md) (module): Derivations of standard content blocks from LangChain v0 multimodal content.
- [langsmith](https://reference.langchain.com/python/langchain-core/document_loaders/langsmith.md) (module): LangSmith document loader.
- [language_models](https://reference.langchain.com/python/langchain-core/language_models.md) (module): Core language model abstractions
- [length_based](https://reference.langchain.com/python/langchain-core/example_selectors/length_based.md) (module): Select examples based on length.
- [list](https://reference.langchain.com/python/langchain-core/output_parsers/list.md) (module): Parsers for list output.
- [llm_result](https://reference.langchain.com/python/langchain-core/outputs/llm_result.md) (module): `LLMResult` class.
- [llms](https://reference.langchain.com/python/langchain-core/language_models/llms.md) (module): Base interface for traditional large language models (LLMs) to expose
- [load](https://reference.langchain.com/python/langchain-core/load.md) (module): **Load** module helps with serialization and deserialization.
- [load](https://reference.langchain.com/python/langchain-core/load/load.md) (module): Load LangChain objects from JSON strings or objects
- [loading](https://reference.langchain.com/python/langchain-core/prompts/loading.md) (module): Load prompts.
- [log_stream](https://reference.langchain.com/python/langchain-core/tracers/log_stream.md) (module): Tracer that streams run logs to a stream.
- [manager](https://reference.langchain.com/python/langchain-core/callbacks/manager.md) (module): Run managers.
- [mapping](https://reference.langchain.com/python/langchain-core/load/mapping.md) (module): Serialization mapping
- [memory_stream](https://reference.langchain.com/python/langchain-core/tracers/memory_stream.md) (module): Module implements a memory stream for communication between two co-routines
- [message](https://reference.langchain.com/python/langchain-core/prompts/message.md) (module): Message prompt templates.
- [messages](https://reference.langchain.com/python/langchain-core/messages.md) (module): **Messages** are objects used in prompts and chat conversations.
- [model_profile](https://reference.langchain.com/python/langchain-core/language_models/model_profile.md) (module): Model profile types and utilities.
- [modifier](https://reference.langchain.com/python/langchain-core/messages/modifier.md) (module): Message responsible for deleting other messages.
- [mustache](https://reference.langchain.com/python/langchain-core/utils/mustache.md) (module): Adapted from https://github.com/noahmorrison/chevron
- [openai](https://reference.langchain.com/python/langchain-core/messages/block_translators/openai.md) (module): Derivations of standard content blocks from OpenAI content.
- [openai_functions](https://reference.langchain.com/python/langchain-core/output_parsers/openai_functions.md) (module): Parsers for OpenAI functions output.
- [openai_tools](https://reference.langchain.com/python/langchain-core/output_parsers/openai_tools.md) (module): Parse tools for OpenAI tools output.
- [output_parsers](https://reference.langchain.com/python/langchain-core/output_parsers.md) (module): `OutputParser` classes parse the output of an LLM call into structured data
- [outputs](https://reference.langchain.com/python/langchain-core/outputs.md) (module): Output classes
- [passthrough](https://reference.langchain.com/python/langchain-core/runnables/passthrough.md) (module): Implementation of the `RunnablePassthrough`.
- [path](https://reference.langchain.com/python/langchain-core/_api/path.md) (module)
- [prompt](https://reference.langchain.com/python/langchain-core/prompts/prompt.md) (module): Prompt schema definition.
- [prompt_values](https://reference.langchain.com/python/langchain-core/prompt_values.md) (module): **Prompt values** for language model prompts
- [prompts](https://reference.langchain.com/python/langchain-core/prompts.md) (module): A prompt is the input to the model
- [pydantic](https://reference.langchain.com/python/langchain-core/utils/pydantic.md) (module): Utilities for pydantic.
- [pydantic](https://reference.langchain.com/python/langchain-core/output_parsers/pydantic.md) (module): Output parsers using Pydantic.
- [rate_limiters](https://reference.langchain.com/python/langchain-core/rate_limiters.md) (module): Interface for a rate limiter and an in-memory rate limiter.
- [render](https://reference.langchain.com/python/langchain-core/tools/render.md) (module): Utilities to render tools.
- [retriever](https://reference.langchain.com/python/langchain-core/tools/retriever.md) (module): Retriever tool.
- [retrievers](https://reference.langchain.com/python/langchain-core/retrievers.md) (module): **Retriever** class returns `Document` objects given a text **query**
- [retry](https://reference.langchain.com/python/langchain-core/runnables/retry.md) (module): `Runnable` that retries a `Runnable` if it fails.
- [root_listeners](https://reference.langchain.com/python/langchain-core/tracers/root_listeners.md) (module): Tracers that call listeners.
- [router](https://reference.langchain.com/python/langchain-core/runnables/router.md) (module): `Runnable` that routes to a set of `Runnable` objects.
- [run_collector](https://reference.langchain.com/python/langchain-core/tracers/run_collector.md) (module): A tracer that collects all nested runs in a list.
- [run_info](https://reference.langchain.com/python/langchain-core/outputs/run_info.md) (module): `RunInfo` class.
- [runnables](https://reference.langchain.com/python/langchain-core/runnables.md) (module): LangChain **Runnable** and the **LangChain Expression Language (LCEL)**
- [schema](https://reference.langchain.com/python/langchain-core/runnables/schema.md) (module): Module contains typedefs that are used with `Runnable` objects.
- [schemas](https://reference.langchain.com/python/langchain-core/tracers/schemas.md) (module): Schemas for tracers.
- [semantic_similarity](https://reference.langchain.com/python/langchain-core/example_selectors/semantic_similarity.md) (module): Example selector that selects examples based on SemanticSimilarity.
- [serializable](https://reference.langchain.com/python/langchain-core/load/serializable.md) (module): Serializable base class.
- [simple](https://reference.langchain.com/python/langchain-core/tools/simple.md) (module): Tool that takes in function or coroutine directly.
- [stdout](https://reference.langchain.com/python/langchain-core/tracers/stdout.md) (module): Tracers that print to the console.
- [stdout](https://reference.langchain.com/python/langchain-core/callbacks/stdout.md) (module): Callback handler that prints to std out.
- [stores](https://reference.langchain.com/python/langchain-core/stores.md) (module): **Store** implements the key-value stores and storage helpers
- [streaming_stdout](https://reference.langchain.com/python/langchain-core/callbacks/streaming_stdout.md) (module): Callback Handler streams to stdout on new llm token.
- [string](https://reference.langchain.com/python/langchain-core/prompts/string.md) (module): `BasePrompt` schema definition.
- [string](https://reference.langchain.com/python/langchain-core/output_parsers/string.md) (module): String output parser.
- [strings](https://reference.langchain.com/python/langchain-core/utils/strings.md) (module): String utilities.
- [structured](https://reference.langchain.com/python/langchain-core/prompts/structured.md) (module): Structured prompt template for a language model.
- [structured](https://reference.langchain.com/python/langchain-core/tools/structured.md) (module): Structured tool.
- [structured_query](https://reference.langchain.com/python/langchain-core/structured_query.md) (module): Internal representation of a structured query language.
- [sys_info](https://reference.langchain.com/python/langchain-core/sys_info.md) (module): Print information about the system and langchain packages for debugging purposes.
- [system](https://reference.langchain.com/python/langchain-core/messages/system.md) (module): System message.
- [tool](https://reference.langchain.com/python/langchain-core/messages/tool.md) (module): Messages for tools.
- [tools](https://reference.langchain.com/python/langchain-core/tools.md) (module): Tools are classes that an Agent uses to interact with the world
- [tracers](https://reference.langchain.com/python/langchain-core/tracers.md) (module): Tracers are classes for tracing runs.
- [transform](https://reference.langchain.com/python/langchain-core/output_parsers/transform.md) (module): Base classes for output parsers that can handle streaming input.
- [transformers](https://reference.langchain.com/python/langchain-core/documents/transformers.md) (module): Document transformers.
- [usage](https://reference.langchain.com/python/langchain-core/utils/usage.md) (module): Usage utilities.
- [usage](https://reference.langchain.com/python/langchain-core/callbacks/usage.md) (module): Callback Handler that tracks `AIMessage.usage_metadata`.
- [utils](https://reference.langchain.com/python/langchain-core/messages/utils.md) (module): Module contains utility functions for working with messages
- [utils](https://reference.langchain.com/python/langchain-core/runnables/utils.md) (module): Utility code for `Runnable` objects.
- [utils](https://reference.langchain.com/python/langchain-core/vectorstores/utils.md) (module): Internal utilities for the in memory implementation of `VectorStore`
- [utils](https://reference.langchain.com/python/langchain-core/utils.md) (module): Utility functions for LangChain
- [utils](https://reference.langchain.com/python/langchain-core/utils/utils.md) (module): Generic utility functions.
- [uuid](https://reference.langchain.com/python/langchain-core/utils/uuid.md) (module): UUID utility functions
- [vectorstores](https://reference.langchain.com/python/langchain-core/vectorstores.md) (module): Vector stores.
- [version](https://reference.langchain.com/python/langchain-core/version.md) (module): langchain-core version information and utilities.
- [xml](https://reference.langchain.com/python/langchain-core/output_parsers/xml.md) (module): Output parser for XML format.

#### TypeAliass

- [Annotation](https://reference.langchain.com/python/langchain-core/messages/content/Annotation.md) (typeAlias): A union of all defined `Annotation` types.
- [AnyConfigurableField](https://reference.langchain.com/python/langchain-core/runnables/utils/AnyConfigurableField.md) (typeAlias)
- [ArgsSchema](https://reference.langchain.com/python/langchain-core/tools/base/ArgsSchema.md) (typeAlias)
- [AsyncListener](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/AsyncListener.md) (typeAlias)
- [Callbacks](https://reference.langchain.com/python/langchain-core/callbacks/base/Callbacks.md) (typeAlias)
- [ContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/ContentBlock.md) (typeAlias): A union of all defined `ContentBlock` types and aliases.
- [DataContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/DataContentBlock.md) (typeAlias): A union of all defined multimodal data `ContentBlock` types.
- [LanguageModelInput](https://reference.langchain.com/python/langchain-core/language_models/base/LanguageModelInput.md) (typeAlias): Input to a language model.
- [LanguageModelOutput](https://reference.langchain.com/python/langchain-core/language_models/base/LanguageModelOutput.md) (typeAlias): Output from a language model.
- [Listener](https://reference.langchain.com/python/langchain-core/tracers/root_listeners/Listener.md) (typeAlias)
- [Matrix](https://reference.langchain.com/python/langchain-core/vectorstores/utils/Matrix.md) (typeAlias)
- [MessageLike](https://reference.langchain.com/python/langchain-core/prompts/chat/MessageLike.md) (typeAlias)
- [MessageLikeRepresentation](https://reference.langchain.com/python/langchain-core/messages/utils/MessageLikeRepresentation.md) (typeAlias): A type representing the various ways a message can be represented.
- [MessageLikeRepresentation](https://reference.langchain.com/python/langchain-core/prompts/chat/MessageLikeRepresentation.md) (typeAlias)
- [MessagesOrDictWithMessages](https://reference.langchain.com/python/langchain-core/runnables/history/MessagesOrDictWithMessages.md) (typeAlias)
- [PathLike](https://reference.langchain.com/python/langchain-core/documents/base/PathLike.md) (typeAlias)
- [PydanticBaseModel](https://reference.langchain.com/python/langchain-core/output_parsers/json/PydanticBaseModel.md) (typeAlias)
- [RunnableLike](https://reference.langchain.com/python/langchain-core/runnables/base/RunnableLike.md) (typeAlias)
- [Scopes](https://reference.langchain.com/python/langchain-core/utils/mustache/Scopes.md) (typeAlias)
- [StreamEvent](https://reference.langchain.com/python/langchain-core/runnables/schema/StreamEvent.md) (typeAlias)
- [ToolContentBlock](https://reference.langchain.com/python/langchain-core/messages/content/ToolContentBlock.md) (typeAlias)

### langchain_mcp_adapters

#### Attributes

- [args](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/args.md) (attribute): Command line arguments to pass to the executable.
- [args](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/_MCPToolCallRequestOverrides/args.md) (attribute)
- [args](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest/args.md) (attribute)
- [ASYNC_CONTEXT_MANAGER_ERROR](https://reference.langchain.com/python/langchain-mcp-adapters/client/ASYNC_CONTEXT_MANAGER_ERROR.md) (attribute)
- [auth](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/auth.md) (attribute): Optional authentication for the HTTP client.
- [auth](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/auth.md) (attribute): Optional authentication for the HTTP client.
- [callbacks](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/callbacks.md) (attribute)
- [command](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/command.md) (attribute): The executable to run to start the server.
- [connections](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/connections.md) (attribute)
- [cwd](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/cwd.md) (attribute): The working directory to use when spawning the process.
- [DEFAULT_ENCODING](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/DEFAULT_ENCODING.md) (attribute)
- [DEFAULT_ENCODING_ERROR_HANDLER](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/DEFAULT_ENCODING_ERROR_HANDLER.md) (attribute)
- [DEFAULT_HTTP_TIMEOUT](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/DEFAULT_HTTP_TIMEOUT.md) (attribute)
- [DEFAULT_SSE_READ_TIMEOUT](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/DEFAULT_SSE_READ_TIMEOUT.md) (attribute)
- [DEFAULT_STREAMABLE_HTTP_SSE_READ_TIMEOUT](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/DEFAULT_STREAMABLE_HTTP_SSE_READ_TIMEOUT.md) (attribute)
- [DEFAULT_STREAMABLE_HTTP_TIMEOUT](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/DEFAULT_STREAMABLE_HTTP_TIMEOUT.md) (attribute)
- [elicitation_callback](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/_MCPCallbacks/elicitation_callback.md) (attribute)
- [ElicitationFnT](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/ElicitationFnT.md) (attribute)
- [ElicitRequestParams](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/ElicitRequestParams.md) (attribute)
- [encoding](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/encoding.md) (attribute): The text encoding used when sending/receiving messages to the server
- [encoding_error_handler](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/encoding_error_handler.md) (attribute): The text encoding error handler
- [EncodingErrorHandler](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/EncodingErrorHandler.md) (attribute)
- [env](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/env.md) (attribute): The environment to use when spawning the process
- [headers](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/headers.md) (attribute): HTTP headers to send to the SSE endpoint.
- [headers](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/headers.md) (attribute): HTTP headers to send to the endpoint.
- [headers](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/_MCPToolCallRequestOverrides/headers.md) (attribute)
- [headers](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest/headers.md) (attribute)
- [httpx_client_factory](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/httpx_client_factory.md) (attribute): Custom factory for httpx.AsyncClient (optional).
- [httpx_client_factory](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/httpx_client_factory.md) (attribute): Custom factory for httpx.AsyncClient (optional).
- [LANGGRAPH_PRESENT](https://reference.langchain.com/python/langchain-mcp-adapters/tools/LANGGRAPH_PRESENT.md) (attribute)
- [LANGGRAPH_PRESENT](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/LANGGRAPH_PRESENT.md) (attribute)
- [logger](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/logger.md) (attribute)
- [logging_callback](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/_MCPCallbacks/logging_callback.md) (attribute)
- [LoggingFnT](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/LoggingFnT.md) (attribute)
- [LoggingMessageNotificationParams](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/LoggingMessageNotificationParams.md) (attribute)
- [MAX_ITERATIONS](https://reference.langchain.com/python/langchain-mcp-adapters/tools/MAX_ITERATIONS.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/_MCPToolCallRequestOverrides/name.md) (attribute)
- [name](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest/name.md) (attribute)
- [on_elicitation](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/Callbacks/on_elicitation.md) (attribute)
- [on_logging_message](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/Callbacks/on_logging_message.md) (attribute)
- [on_progress](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/Callbacks/on_progress.md) (attribute)
- [progress_callback](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/_MCPCallbacks/progress_callback.md) (attribute)
- [ProgressFnT](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/ProgressFnT.md) (attribute)
- [runtime](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest/runtime.md) (attribute)
- [server_name](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest/server_name.md) (attribute)
- [server_name](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/CallbackContext/server_name.md) (attribute)
- [session_kwargs](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/session_kwargs.md) (attribute): Additional keyword arguments to pass to the ClientSession.
- [session_kwargs](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/session_kwargs.md) (attribute): Additional keyword arguments to pass to the ClientSession.
- [session_kwargs](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/session_kwargs.md) (attribute): Additional keyword arguments to pass to the ClientSession.
- [session_kwargs](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/WebsocketConnection/session_kwargs.md) (attribute): Additional keyword arguments to pass to the ClientSession
- [sse_read_timeout](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/sse_read_timeout.md) (attribute): SSE read timeout
- [sse_read_timeout](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/sse_read_timeout.md) (attribute): How long (in seconds) the client will wait for a new event before disconnecting
- [structured_content](https://reference.langchain.com/python/langchain-mcp-adapters/tools/MCPToolArtifact/structured_content.md) (attribute)
- [terminate_on_close](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/terminate_on_close.md) (attribute): Whether to terminate the session on close.
- [timeout](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/timeout.md) (attribute): HTTP timeout
- [timeout](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/timeout.md) (attribute): HTTP timeout.
- [tool_interceptors](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/tool_interceptors.md) (attribute)
- [tool_name](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/CallbackContext/tool_name.md) (attribute)
- [tool_name_prefix](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/tool_name_prefix.md) (attribute)
- [transport](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection/transport.md) (attribute)
- [transport](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/transport.md) (attribute)
- [transport](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/transport.md) (attribute)
- [transport](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/WebsocketConnection/transport.md) (attribute)
- [url](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection/url.md) (attribute): The URL of the SSE endpoint to connect to.
- [url](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection/url.md) (attribute): The URL of the endpoint to connect to.
- [url](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/WebsocketConnection/url.md) (attribute): The URL of the Websocket endpoint to connect to.

#### Classs

- [CallbackContext](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/CallbackContext.md) (class): LangChain MCP client callback context.
- [Callbacks](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/Callbacks.md) (class): Callbacks for the LangChain MCP client.
- [ElicitationCallback](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/ElicitationCallback.md) (class): Light wrapper around the mcp.client.session.ElicitationFnT
- [LoggingMessageCallback](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/LoggingMessageCallback.md) (class): Light wrapper around the mcp.client.session.LoggingFnT
- [McpHttpClientFactory](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/McpHttpClientFactory.md) (class): Protocol for creating httpx.AsyncClient instances for MCP connections.
- [MCPToolArtifact](https://reference.langchain.com/python/langchain-mcp-adapters/tools/MCPToolArtifact.md) (class): Artifact returned from MCP tool calls
- [MCPToolCallRequest](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest.md) (class): Tool execution request passed to MCP tool call interceptors
- [MultiServerMCPClient](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient.md) (class): Client for connecting to multiple MCP servers
- [ProgressCallback](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/ProgressCallback.md) (class): Light wrapper around the mcp.shared.session.ProgressFnT
- [SSEConnection](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/SSEConnection.md) (class): Configuration for Server-Sent Events (SSE) transport connections to MCP.
- [StdioConnection](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StdioConnection.md) (class): Configuration for stdio transport connections to MCP servers.
- [StreamableHttpConnection](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/StreamableHttpConnection.md) (class): Connection configuration for Streamable HTTP transport.
- [ToolCallInterceptor](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/ToolCallInterceptor.md) (class): Protocol for tool call interceptors using handler callback pattern
- [WebsocketConnection](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/WebsocketConnection.md) (class): Configuration for WebSocket transport connections to MCP servers.

#### Functions

- [convert_mcp_prompt_message_to_langchain_message](https://reference.langchain.com/python/langchain-mcp-adapters/prompts/convert_mcp_prompt_message_to_langchain_message.md) (function): Convert an MCP prompt message to a LangChain message.
- [convert_mcp_resource_to_langchain_blob](https://reference.langchain.com/python/langchain-mcp-adapters/resources/convert_mcp_resource_to_langchain_blob.md) (function): Convert an MCP resource content to a LangChain Blob.
- [convert_mcp_tool_to_langchain_tool](https://reference.langchain.com/python/langchain-mcp-adapters/tools/convert_mcp_tool_to_langchain_tool.md) (function): Convert an MCP tool to a LangChain tool
- [create_session](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/create_session.md) (function): Create a new session to an MCP server.
- [get_mcp_resource](https://reference.langchain.com/python/langchain-mcp-adapters/resources/get_mcp_resource.md) (function): Fetch a single MCP resource and convert it to LangChain [Blob objects][langchain_core.documents.base.Blob].
- [load_mcp_prompt](https://reference.langchain.com/python/langchain-mcp-adapters/prompts/load_mcp_prompt.md) (function): Load MCP prompt and convert to LangChain [messages](https://docs.langchain.com/oss/python/langchain/messages).
- [load_mcp_resources](https://reference.langchain.com/python/langchain-mcp-adapters/resources/load_mcp_resources.md) (function): Load MCP resources and convert them to LangChain [Blob objects][langchain_core.documents.base.Blob].
- [load_mcp_tools](https://reference.langchain.com/python/langchain-mcp-adapters/tools/load_mcp_tools.md) (function): Load all available MCP tools and convert them to LangChain [tools](https://docs.langchain.com/oss/python/langchain/tools).
- [to_fastmcp](https://reference.langchain.com/python/langchain-mcp-adapters/tools/to_fastmcp.md) (function): Convert LangChain tool to FastMCP tool.

#### Methods

- [get_prompt](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/get_prompt.md) (method): Get a prompt from a given MCP server.
- [get_resources](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/get_resources.md) (method): Get resources from MCP server(s).
- [get_tools](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/get_tools.md) (method): Get a list of all tools from all connected servers.
- [override](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallRequest/override.md) (method): Replace the request with a new request with the given overrides
- [session](https://reference.langchain.com/python/langchain-mcp-adapters/client/MultiServerMCPClient/session.md) (method): Connect to an MCP server and initialize a session.
- [to_mcp_format](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks/Callbacks/to_mcp_format.md) (method): Convert the LangChain MCP client callbacks to MCP SDK callbacks

#### Modules

- [callbacks](https://reference.langchain.com/python/langchain-mcp-adapters/callbacks.md) (module): Types for callbacks.
- [client](https://reference.langchain.com/python/langchain-mcp-adapters/client.md) (module): Client for connecting to multiple MCP servers and loading LC tools/resources
- [interceptors](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors.md) (module): Interceptor interfaces and types for MCP client tool call lifecycle management
- [langchain_mcp_adapters](https://reference.langchain.com/python/langchain-mcp-adapters/langchain_mcp_adapters.md) (module): LangChain MCP Adapters - Connect MCP servers with LangChain applications
- [prompts](https://reference.langchain.com/python/langchain-mcp-adapters/prompts.md) (module): Prompts adapter for converting MCP prompts to LangChain [messages](https://docs.langchain.com/oss/python/langchain/messages)
- [resources](https://reference.langchain.com/python/langchain-mcp-adapters/resources.md) (module): Resources adapter for converting MCP resources to LangChain [Blob objects][langchain_core.documents.base.Blob]
- [sessions](https://reference.langchain.com/python/langchain-mcp-adapters/sessions.md) (module): Session management for different MCP transport types
- [tools](https://reference.langchain.com/python/langchain-mcp-adapters/tools.md) (module): Tools adapter for converting MCP tools to LangChain tools

#### TypeAliass

- [Connection](https://reference.langchain.com/python/langchain-mcp-adapters/sessions/Connection.md) (typeAlias)
- [ConvertedToolResult](https://reference.langchain.com/python/langchain-mcp-adapters/tools/ConvertedToolResult.md) (typeAlias)
- [MCPToolCallResult](https://reference.langchain.com/python/langchain-mcp-adapters/interceptors/MCPToolCallResult.md) (typeAlias)
- [ToolMessageContentBlock](https://reference.langchain.com/python/langchain-mcp-adapters/tools/ToolMessageContentBlock.md) (typeAlias)

### langchain_tests

#### Attributes

- [chat_model_class](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/chat_model_class.md) (attribute): The chat model class to test, e.g., `ChatParrotLink`.
- [chat_model_params](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/chat_model_params.md) (attribute): Initialization parameters for the chat model.
- [deepagents](https://reference.langchain.com/python/langchain-tests/integration_tests/sandboxes/deepagents.md) (attribute)
- [embedding_model_params](https://reference.langchain.com/python/langchain-tests/unit_tests/embeddings/EmbeddingsTests/embedding_model_params.md) (attribute): Embeddings model parameters.
- [EMBEDDING_SIZE](https://reference.langchain.com/python/langchain-tests/integration_tests/vectorstores/EMBEDDING_SIZE.md) (attribute)
- [embeddings_class](https://reference.langchain.com/python/langchain-tests/unit_tests/embeddings/EmbeddingsTests/embeddings_class.md) (attribute): Embeddings class.
- [enable_vcr_tests](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/enable_vcr_tests.md) (attribute): Whether to enable VCR tests for the chat model
- [has_async](https://reference.langchain.com/python/langchain-tests/integration_tests/vectorstores/VectorStoreIntegrationTests/has_async.md) (attribute): Configurable property to enable or disable async tests.
- [has_async](https://reference.langchain.com/python/langchain-tests/integration_tests/sandboxes/SandboxIntegrationTests/has_async.md) (attribute): Whether the sandbox supports async methods.
- [has_get_by_ids](https://reference.langchain.com/python/langchain-tests/integration_tests/vectorstores/VectorStoreIntegrationTests/has_get_by_ids.md) (attribute): Whether the `VectorStore` supports `get_by_ids`.
- [has_structured_output](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/has_structured_output.md) (attribute): Whether the chat model supports structured output.
- [has_sync](https://reference.langchain.com/python/langchain-tests/integration_tests/vectorstores/VectorStoreIntegrationTests/has_sync.md) (attribute): Configurable property to enable or disable sync tests.
- [has_sync](https://reference.langchain.com/python/langchain-tests/integration_tests/sandboxes/SandboxIntegrationTests/has_sync.md) (attribute): Whether the sandbox supports sync methods.
- [has_tool_calling](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/has_tool_calling.md) (attribute): Whether the model supports tool calling.
- [has_tool_choice](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/has_tool_choice.md) (attribute): Whether the model supports tool calling.
- [init_from_env_params](https://reference.langchain.com/python/langchain-tests/unit_tests/tools/ToolsUnitTests/init_from_env_params.md) (attribute): Init from env params
- [init_from_env_params](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelUnitTests/init_from_env_params.md) (attribute): Init from env params
- [init_from_env_params](https://reference.langchain.com/python/langchain-tests/unit_tests/embeddings/EmbeddingsUnitTests/init_from_env_params.md) (attribute): Init from env params
- [input](https://reference.langchain.com/python/langchain-tests/integration_tests/chat_models/_MagicFunctionSchema/input.md) (attribute)
- [model_override_value](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/model_override_value.md) (attribute): Alternative model name to use when testing model override
- [modules](https://reference.langchain.com/python/langchain-tests/unit_tests/modules.md) (attribute)
- [modules](https://reference.langchain.com/python/langchain-tests/integration_tests/modules.md) (attribute)
- [num_results_arg_name](https://reference.langchain.com/python/langchain-tests/integration_tests/retrievers/RetrieversIntegrationTests/num_results_arg_name.md) (attribute): Returns the name of the parameter for the number of results returned
- [options](https://reference.langchain.com/python/langchain-tests/integration_tests/chat_models/_TestCallbackHandler/options.md) (attribute)
- [PYDANTIC_MAJOR_VERSION](https://reference.langchain.com/python/langchain-tests/utils/pydantic/PYDANTIC_MAJOR_VERSION.md) (attribute)
- [retriever_constructor](https://reference.langchain.com/python/langchain-tests/integration_tests/retrievers/RetrieversIntegrationTests/retriever_constructor.md) (attribute): A `BaseRetriever` subclass to be tested.
- [retriever_constructor_params](https://reference.langchain.com/python/langchain-tests/integration_tests/retrievers/RetrieversIntegrationTests/retriever_constructor_params.md) (attribute): Returns a dictionary of parameters to pass to the retriever constructor.
- [retriever_query_example](https://reference.langchain.com/python/langchain-tests/integration_tests/retrievers/RetrieversIntegrationTests/retriever_query_example.md) (attribute): Returns a str representing the `query` of an example retriever call.
- [returns_usage_metadata](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/returns_usage_metadata.md) (attribute): Returns usage metadata
- [standard_chat_model_params](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/standard_chat_model_params.md) (attribute): Standard chat model parameters.
- [standard_chat_model_params](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelUnitTests/standard_chat_model_params.md) (attribute): Standard chat model parameters.
- [standard_chat_model_params](https://reference.langchain.com/python/langchain-tests/integration_tests/chat_models/ChatModelIntegrationTests/standard_chat_model_params.md) (attribute): Standard parameters for chat model.
- [structured_output_kwargs](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/structured_output_kwargs.md) (attribute): Additional kwargs to pass to `with_structured_output()` in tests
- [supported_usage_metadata_details](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supported_usage_metadata_details.md) (attribute): Supported usage metadata details
- [supports_anthropic_inputs](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_anthropic_inputs.md) (attribute): Whether the chat model supports Anthropic-style inputs.
- [supports_audio_inputs](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_audio_inputs.md) (attribute): Supports audio inputs
- [supports_image_inputs](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_image_inputs.md) (attribute): Supports image inputs
- [supports_image_tool_message](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_image_tool_message.md) (attribute): Supports image `ToolMessage` objects
- [supports_image_urls](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_image_urls.md) (attribute): Supports image inputs from URLs
- [supports_json_mode](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_json_mode.md) (attribute): Whether the chat model supports JSON mode.
- [supports_model_override](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_model_override.md) (attribute): Whether the model supports overriding the model name at runtime
- [supports_pdf_inputs](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_pdf_inputs.md) (attribute): Whether the chat model supports PDF inputs, defaults to `False`.
- [supports_pdf_tool_message](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_pdf_tool_message.md) (attribute): Supports PDF `ToolMessage` objects
- [supports_video_inputs](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests/supports_video_inputs.md) (attribute): Supports video inputs
- [TEST_PYDANTIC_MODELS](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/TEST_PYDANTIC_MODELS.md) (attribute)
- [tool_constructor](https://reference.langchain.com/python/langchain-tests/unit_tests/tools/ToolsTests/tool_constructor.md) (attribute): Returns a class or instance of a tool to be tested.
- [tool_constructor_params](https://reference.langchain.com/python/langchain-tests/unit_tests/tools/ToolsTests/tool_constructor_params.md) (attribute): Returns a dictionary of parameters to pass to the tool constructor.
- [tool_invoke_params_example](https://reference.langchain.com/python/langchain-tests/unit_tests/tools/ToolsTests/tool_invoke_params_example.md) (attribute): Returns a dictionary representing the "args" of an example tool call
- [V](https://reference.langchain.com/python/langchain-tests/integration_tests/base_store/V.md) (attribute)

#### Classs

- [AsyncCacheTestSuite](https://reference.langchain.com/python/langchain-tests/integration_tests/cache/AsyncCacheTestSuite.md) (class): Test suite for checking the `BaseCache` API of a caching layer for LLMs
- [AsyncDocumentIndexTestSuite](https://reference.langchain.com/python/langchain-tests/integration_tests/indexer/AsyncDocumentIndexTestSuite.md) (class): Test suite for checking the read-write of a document index
- [BaseStandardTests](https://reference.langchain.com/python/langchain-tests/base/BaseStandardTests.md) (class): Base class for standard tests.
- [BaseStoreAsyncTests](https://reference.langchain.com/python/langchain-tests/integration_tests/base_store/BaseStoreAsyncTests.md) (class): Test suite for checking the key-value API of a `BaseStore`
- [BaseStoreSyncTests](https://reference.langchain.com/python/langchain-tests/integration_tests/base_store/BaseStoreSyncTests.md) (class): Test suite for checking the key-value API of a `BaseStore`
- [ChatModelIntegrationTests](https://reference.langchain.com/python/langchain-tests/integration_tests/chat_models/ChatModelIntegrationTests.md) (class): Base class for chat model integration tests
- [ChatModelTests](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelTests.md) (class): Base class for chat model tests.
- [ChatModelUnitTests](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/ChatModelUnitTests.md) (class): Base class for chat model unit tests
- [CustomPersister](https://reference.langchain.com/python/langchain-tests/conftest/CustomPersister.md) (class): A custom persister for VCR that uses the `CustomSerializer`.
- [CustomSerializer](https://reference.langchain.com/python/langchain-tests/conftest/CustomSerializer.md) (class): Custom serializer for VCR cassettes using YAML and gzip
- [DocumentIndexerTestSuite](https://reference.langchain.com/python/langchain-tests/integration_tests/indexer/DocumentIndexerTestSuite.md) (class): Test suite for checking the read-write of a document index
- [EmbeddingsIntegrationTests](https://reference.langchain.com/python/langchain-tests/integration_tests/embeddings/EmbeddingsIntegrationTests.md) (class): Base class for embeddings integration tests
- [EmbeddingsTests](https://reference.langchain.com/python/langchain-tests/unit_tests/embeddings/EmbeddingsTests.md) (class): Embeddings tests base class.
- [EmbeddingsUnitTests](https://reference.langchain.com/python/langchain-tests/unit_tests/embeddings/EmbeddingsUnitTests.md) (class): Base class for embeddings unit tests
- [RetrieversIntegrationTests](https://reference.langchain.com/python/langchain-tests/integration_tests/retrievers/RetrieversIntegrationTests.md) (class): Base class for retrievers integration tests.
- [SandboxIntegrationTests](https://reference.langchain.com/python/langchain-tests/integration_tests/sandboxes/SandboxIntegrationTests.md) (class): Standard integration tests for a `SandboxBackendProtocol` implementation.
- [SyncCacheTestSuite](https://reference.langchain.com/python/langchain-tests/integration_tests/cache/SyncCacheTestSuite.md) (class): Test suite for checking the `BaseCache` API of a caching layer for LLMs
- [ToolsIntegrationTests](https://reference.langchain.com/python/langchain-tests/integration_tests/tools/ToolsIntegrationTests.md) (class): Base class for tools integration tests.
- [ToolsTests](https://reference.langchain.com/python/langchain-tests/unit_tests/tools/ToolsTests.md) (class): Base class for testing tools
- [ToolsUnitTests](https://reference.langchain.com/python/langchain-tests/unit_tests/tools/ToolsUnitTests.md) (class): Base class for tools unit tests.
- [VectorStoreIntegrationTests](https://reference.langchain.com/python/langchain-tests/integration_tests/vectorstores/VectorStoreIntegrationTests.md) (class): Base class for vector store integration tests

#### Functions

- [base_vcr_config](https://reference.langchain.com/python/langchain-tests/conftest/base_vcr_config.md) (function): Return VCR configuration that every cassette will receive
- [generate_schema_pydantic](https://reference.langchain.com/python/langchain-tests/unit_tests/chat_models/generate_schema_pydantic.md) (function): Works with either pydantic 1 or 2.
- [get_pydantic_major_version](https://reference.langchain.com/python/langchain-tests/utils/pydantic/get_pydantic_major_version.md) (function): Get the major version of Pydantic.


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_Note: This listing was truncated due to size limits._
_Use the individual package pages for complete symbol details._