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chat_models.py — langchain Source File

Architecture documentation for chat_models.py, a python file in the langchain codebase. 34 imports, 0 dependents.

File python CoreAbstractions MessageSchema 34 imports 17 functions 1 classes

Entity Profile

Dependency Diagram

graph LR
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Relationship Graph

Source Code

from __future__ import annotations

import hashlib
import json
import logging
import os
import re
import ssl
import uuid
from collections.abc import Callable  # noqa: TC003
from operator import itemgetter
from typing import (
    TYPE_CHECKING,
    Any,
    Literal,
    cast,
)

import certifi
import httpx
from httpx_sse import EventSource, aconnect_sse, connect_sse
from langchain_core.callbacks import (
    AsyncCallbackManagerForLLMRun,
    CallbackManagerForLLMRun,
)
from langchain_core.language_models import (
    LanguageModelInput,
    ModelProfile,
    ModelProfileRegistry,
)
from langchain_core.language_models.chat_models import BaseChatModel, LangSmithParams
from langchain_core.language_models.llms import create_base_retry_decorator
from langchain_core.messages import (
    AIMessage,
    AIMessageChunk,
    BaseMessage,
    BaseMessageChunk,
    ChatMessage,
    ChatMessageChunk,
    HumanMessage,
    HumanMessageChunk,
    InvalidToolCall,
    SystemMessage,
    SystemMessageChunk,
    ToolCall,
    ToolMessage,
)
from langchain_core.messages.tool import tool_call_chunk
from langchain_core.output_parsers import (
    JsonOutputParser,
    PydanticOutputParser,
)
from langchain_core.output_parsers.base import OutputParserLike
from langchain_core.output_parsers.openai_tools import (
    JsonOutputKeyToolsParser,
    PydanticToolsParser,
    make_invalid_tool_call,
    parse_tool_call,
)
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
// ... (1163 more lines)

Domain

Subdomains

Functions

Classes

Dependencies

  • certifi
  • collections.abc
  • contextlib
  • hashlib
  • httpx
  • httpx_sse
  • json
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.language_models.chat_models
  • langchain_core.language_models.llms
  • langchain_core.messages
  • langchain_core.messages.tool
  • langchain_core.output_parsers
  • langchain_core.output_parsers.base
  • langchain_core.output_parsers.openai_tools
  • langchain_core.outputs
  • langchain_core.runnables
  • langchain_core.tools
  • langchain_core.utils
  • langchain_core.utils.function_calling
  • langchain_core.utils.pydantic
  • langchain_core.utils.utils
  • langchain_mistralai._compat
  • langchain_mistralai.data._profiles
  • logging
  • operator
  • os
  • pydantic
  • re
  • ssl
  • typing
  • typing_extensions
  • uuid

Source

Frequently Asked Questions

What does chat_models.py do?
chat_models.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, MessageSchema subdomain.
What functions are defined in chat_models.py?
chat_models.py defines 17 function(s): _aiter_sse, _araise_on_error, _base62_encode, _clean_block, _convert_chunk_to_message_chunk, _convert_message_to_mistral_chat_message, _convert_mistral_chat_message_to_message, _convert_to_openai_response_format, _convert_tool_call_id_to_mistral_compatible, _create_retry_decorator, and 7 more.
What does chat_models.py depend on?
chat_models.py imports 34 module(s): certifi, collections.abc, contextlib, hashlib, httpx, httpx_sse, json, langchain_core.callbacks, and 26 more.
Where is chat_models.py in the architecture?
chat_models.py is located at libs/partners/mistralai/langchain_mistralai/chat_models.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/partners/mistralai/langchain_mistralai).

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