Commit Graph

4 Commits

Author SHA1 Message Date
Eugene Yurtsev
05d31a2f00
community[patch]: Add missing type annotations (#22758)
Add missing type annotations to objects in community.
These missing type annotations will raise type errors in pydantic 2.
2024-06-10 16:59:28 -04:00
ccurme
481d3855dc
patch: remove usage of llm, chat model __call__ (#20788)
- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
2024-04-24 19:39:23 -04:00
Harrison Chase
4eda647fdd
infra: add -p to mkdir in lint steps (#17013)
Previously, if this did not find a mypy cache then it wouldnt run

this makes it always run

adding mypy ignore comments with existing uncaught issues to unblock other prs

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-02-05 11:22:06 -08:00
Harel Gal
a91181fe6d
community[minor]: add support for Guardrails for Amazon Bedrock (#15099)
Added support for optionally supplying 'Guardrails for Amazon Bedrock'
on both types of model invocations (batch/regular and streaming) and for
all models supported by the Amazon Bedrock service.

@baskaryan  @hwchase17

```python 
llm = Bedrock(model_id="<model_id>", client=bedrock,
                  model_kwargs={},
                  guardrails={"id": " <guardrail_id>",
                              "version": "<guardrail_version>",
                               "trace": True}, callbacks=[BedrockAsyncCallbackHandler()])

class BedrockAsyncCallbackHandler(AsyncCallbackHandler):
    """Async callback handler that can be used to handle callbacks from langchain."""

    async def on_llm_error(
            self,
            error: BaseException,
            **kwargs: Any,
    ) -> Any:
        reason = kwargs.get("reason")
        if reason == "GUARDRAIL_INTERVENED":
           # kwargs contains additional trace information sent by 'Guardrails for Bedrock' service.
            print(f"""Guardrails: {kwargs}""")


# streaming 
llm = Bedrock(model_id="<model_id>", client=bedrock,
                  model_kwargs={},
                  streaming=True,
                  guardrails={"id": "<guardrail_id>",
                              "version": "<guardrail_version>"})
```

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-01-24 14:44:19 -08:00