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https://github.com/hwchase17/langchain
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langchain_mistralai[patch]: Invoke callback prior to yielding token (#16986)
- **Description:** Invoke callback prior to yielding token in stream and astream methods for ChatMistralAI. - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
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@ -317,9 +317,9 @@ class ChatMistralAI(BaseChatModel):
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continue
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chunk = _convert_delta_to_message_chunk(delta, default_chunk_class)
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default_chunk_class = chunk.__class__
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yield ChatGenerationChunk(message=chunk)
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if run_manager:
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run_manager.on_llm_new_token(token=chunk.content, chunk=chunk)
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yield ChatGenerationChunk(message=chunk)
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async def _astream(
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self,
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@ -342,9 +342,9 @@ class ChatMistralAI(BaseChatModel):
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continue
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chunk = _convert_delta_to_message_chunk(delta, default_chunk_class)
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default_chunk_class = chunk.__class__
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yield ChatGenerationChunk(message=chunk)
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if run_manager:
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await run_manager.on_llm_new_token(token=chunk.content, chunk=chunk)
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yield ChatGenerationChunk(message=chunk)
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async def _agenerate(
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self,
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@ -1,7 +1,10 @@
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"""Test MistralAI Chat API wrapper."""
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import os
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from typing import Any, AsyncGenerator, Generator
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from unittest.mock import patch
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import pytest
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from langchain_core.callbacks.base import BaseCallbackHandler
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from langchain_core.messages import (
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AIMessage,
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BaseMessage,
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@ -12,6 +15,11 @@ from langchain_core.messages import (
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# TODO: Remove 'type: ignore' once mistralai has stubs or py.typed marker.
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from mistralai.models.chat_completion import ( # type: ignore[import]
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ChatCompletionResponseStreamChoice,
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ChatCompletionStreamResponse,
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DeltaMessage,
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)
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from mistralai.models.chat_completion import (
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ChatMessage as MistralChatMessage,
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)
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@ -63,3 +71,50 @@ def test_convert_message_to_mistral_chat_message(
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) -> None:
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result = _convert_message_to_mistral_chat_message(message)
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assert result == expected
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def _make_completion_response_from_token(token: str) -> ChatCompletionStreamResponse:
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return ChatCompletionStreamResponse(
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id="abc123",
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model="fake_model",
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choices=[
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ChatCompletionResponseStreamChoice(
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index=0,
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delta=DeltaMessage(content=token),
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finish_reason=None,
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)
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],
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)
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def mock_chat_stream(*args: Any, **kwargs: Any) -> Generator:
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for token in ["Hello", " how", " can", " I", " help", "?"]:
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yield _make_completion_response_from_token(token)
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async def mock_chat_astream(*args: Any, **kwargs: Any) -> AsyncGenerator:
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for token in ["Hello", " how", " can", " I", " help", "?"]:
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yield _make_completion_response_from_token(token)
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class MyCustomHandler(BaseCallbackHandler):
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last_token: str = ""
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def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
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self.last_token = token
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@patch("mistralai.client.MistralClient.chat_stream", new=mock_chat_stream)
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def test_stream_with_callback() -> None:
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callback = MyCustomHandler()
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chat = ChatMistralAI(callbacks=[callback])
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for token in chat.stream("Hello"):
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assert callback.last_token == token.content
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@patch("mistralai.async_client.MistralAsyncClient.chat_stream", new=mock_chat_astream)
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async def test_astream_with_callback() -> None:
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callback = MyCustomHandler()
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chat = ChatMistralAI(callbacks=[callback])
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async for token in chat.astream("Hello"):
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assert callback.last_token == token.content
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