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chat_models.py — langchain Source File

Architecture documentation for chat_models.py, a python file in the langchain codebase. 15 imports, 0 dependents.

File python CoreAbstractions MessageSchema 15 imports 1 functions 1 classes

Entity Profile

Dependency Diagram

graph LR
  1e978d6d_90bf_b865_7003_b6c1c5479660["chat_models.py"]
  7025b240_fdc3_cf68_b72f_f41dac94566b["json"]
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  d758344f_537f_649e_f467_b9d7442e86df["langchain_core.messages"]
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  ef0b6fc5_6cf5_c982_78be_65b7adea64a3["langchain_openai.chat_models.base"]
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Relationship Graph

Source Code

"""DeepSeek chat models."""

from __future__ import annotations

import json
from collections.abc import Callable, Iterator, Sequence
from json import JSONDecodeError
from typing import Any, Literal, TypeAlias, cast

import openai
from langchain_core.callbacks import (
    CallbackManagerForLLMRun,
)
from langchain_core.language_models import (
    LangSmithParams,
    LanguageModelInput,
    ModelProfile,
    ModelProfileRegistry,
)
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage
from langchain_core.outputs import ChatGenerationChunk, ChatResult
from langchain_core.runnables import Runnable
from langchain_core.tools import BaseTool
from langchain_core.utils import from_env, secret_from_env
from langchain_openai.chat_models.base import BaseChatOpenAI
from pydantic import BaseModel, ConfigDict, Field, SecretStr, model_validator
from typing_extensions import Self

from langchain_deepseek.data._profiles import _PROFILES

DEFAULT_API_BASE = "https://api.deepseek.com/v1"
DEFAULT_BETA_API_BASE = "https://api.deepseek.com/beta"

_DictOrPydanticClass: TypeAlias = dict[str, Any] | type[BaseModel]
_DictOrPydantic: TypeAlias = dict[str, Any] | BaseModel


_MODEL_PROFILES = cast("ModelProfileRegistry", _PROFILES)


def _get_default_model_profile(model_name: str) -> ModelProfile:
    default = _MODEL_PROFILES.get(model_name) or {}
    return default.copy()


class ChatDeepSeek(BaseChatOpenAI):
    """DeepSeek chat model integration to access models hosted in DeepSeek's API.

    Setup:
        Install `langchain-deepseek` and set environment variable `DEEPSEEK_API_KEY`.

        ```bash
        pip install -U langchain-deepseek
        export DEEPSEEK_API_KEY="your-api-key"
        ```

    Key init args — completion params:
        model:
            Name of DeepSeek model to use, e.g. `'deepseek-chat'`.
        temperature:
// ... (483 more lines)

Domain

Subdomains

Functions

Classes

Dependencies

  • collections.abc
  • json
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.messages
  • langchain_core.outputs
  • langchain_core.runnables
  • langchain_core.tools
  • langchain_core.utils
  • langchain_deepseek.data._profiles
  • langchain_openai.chat_models.base
  • openai
  • pydantic
  • typing
  • typing_extensions

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 1 function(s): _get_default_model_profile.
What does chat_models.py depend on?
chat_models.py imports 15 module(s): collections.abc, json, langchain_core.callbacks, langchain_core.language_models, langchain_core.messages, langchain_core.outputs, langchain_core.runnables, langchain_core.tools, and 7 more.
Where is chat_models.py in the architecture?
chat_models.py is located at libs/partners/deepseek/langchain_deepseek/chat_models.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/partners/deepseek/langchain_deepseek).

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