Middleware
Reference docs
This page contains reference documentation for OpenAI Middleware. See the docs for conceptual guides, tutorials, and examples on using OpenAI Middleware.
Middleware classes¶
Provider-specific middleware for OpenAI models:
| CLASS | DESCRIPTION |
|---|---|
OpenAIModerationMiddleware |
Moderate agent traffic using OpenAI's moderation endpoint |
langchain_openai.middleware.OpenAIModerationMiddleware
¶
Moderate agent traffic using OpenAI's moderation endpoint.
| METHOD | DESCRIPTION |
|---|---|
__init__ |
Create the middleware instance. |
__init__
¶
__init__(
*,
model: ModerationModel = "omni-moderation-latest",
check_input: bool = True,
check_output: bool = True,
check_tool_results: bool = False,
exit_behavior: Literal["error", "end", "replace"] = "end",
violation_message: str | None = None,
client: OpenAI | None = None,
async_client: AsyncOpenAI | None = None,
) -> None
Create the middleware instance.
| PARAMETER | DESCRIPTION |
|---|---|
model
|
OpenAI moderation model to use.
TYPE:
|
check_input
|
Whether to check user input messages.
TYPE:
|
check_output
|
Whether to check model output messages.
TYPE:
|
check_tool_results
|
Whether to check tool result messages.
TYPE:
|
exit_behavior
|
How to handle violations
(
TYPE:
|
violation_message
|
Custom template for violation messages.
TYPE:
|
client
|
Optional pre-configured OpenAI client to reuse. If not provided, a new client will be created.
TYPE:
|
async_client
|
Optional pre-configured AsyncOpenAI client to reuse. If not provided, a new async client will be created.
TYPE:
|