A tracer implementation that records to LangChain endpoint.
Get information about the LangChain runtime environment.
Return a dict representation of an object.
Recursively add two UsageMetadata objects.
Construct run without validation, compatible with both Pydantic v1 and v2.
Convert run to dict, compatible with both Pydantic v1 and v2.
Log an error once.
Wait for all tracers to finish.
Get the client.
Usage metadata for a message, such as token counts.
This is a standard representation of token usage that is consistent across models.
Base interface for tracers.
Base abstract message class.
Messages are the inputs and outputs of a chat model.
Examples include HumanMessage,
AIMessage, and
SystemMessage.
ChatGeneration chunk.
ChatGeneration chunks can be concatenated with other ChatGeneration chunks.
GenerationChunk, which can be concatenated with other Generation chunks.
Implementation of the SharedTracer that POSTS to the LangChain endpoint.
