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azure.py — langchain Source File

Architecture documentation for azure.py, a python file in the langchain codebase. 14 imports, 0 dependents.

File python CoreAbstractions MessageSchema 14 imports 1 functions 1 classes

Entity Profile

Dependency Diagram

graph LR
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7["azure.py"]
  2a7f66a7_8738_3d47_375b_70fcaa6ac169["logging"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 2a7f66a7_8738_3d47_375b_70fcaa6ac169
  9e98f0a7_ec6e_708f_4f1b_e9428b316e1c["os"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 9e98f0a7_ec6e_708f_4f1b_e9428b316e1c
  cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7["collections.abc"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7
  8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3
  45fc8fd3_e815_b442_a6d1_0dedc9327b62["openai"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 45fc8fd3_e815_b442_a6d1_0dedc9327b62
  ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> ba43b74d_3099_7e1c_aac3_cf594720469e
  2312f229_c199_ac88_c29f_62e2a2958404["langchain_core.language_models.chat_models"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 2312f229_c199_ac88_c29f_62e2a2958404
  ac2a9b92_4484_491e_1b48_ec85e71e1d58["langchain_core.outputs"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> ac2a9b92_4484_491e_1b48_ec85e71e1d58
  2ceb1686_0f8c_8ae0_36d1_7c0b702fda1c["langchain_core.runnables"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 2ceb1686_0f8c_8ae0_36d1_7c0b702fda1c
  f4d905c6_a2b2_eb8f_be9b_7808b72f6a16["langchain_core.utils"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> f4d905c6_a2b2_eb8f_be9b_7808b72f6a16
  1014fe78_cb2c_fde4_a624_ae899aa7ca8e["langchain_core.utils.pydantic"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 1014fe78_cb2c_fde4_a624_ae899aa7ca8e
  6e58aaea_f08e_c099_3cc7_f9567bfb1ae7["pydantic"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7
  91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> 91721f45_4909_e489_8c1f_084f8bd87145
  ef0b6fc5_6cf5_c982_78be_65b7adea64a3["langchain_openai.chat_models.base"]
  999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 --> ef0b6fc5_6cf5_c982_78be_65b7adea64a3
  style 999f3bf7_7a88_4ff2_5fab_c8a83e267ce7 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Azure OpenAI chat wrapper."""

from __future__ import annotations

import logging
import os
from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
from typing import Any, Literal, TypeAlias, TypeVar

import openai
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.chat_models import LangSmithParams
from langchain_core.outputs import ChatGenerationChunk, ChatResult
from langchain_core.runnables import Runnable
from langchain_core.utils import from_env, secret_from_env
from langchain_core.utils.pydantic import is_basemodel_subclass
from pydantic import BaseModel, Field, SecretStr, model_validator
from typing_extensions import Self

from langchain_openai.chat_models.base import BaseChatOpenAI, _get_default_model_profile

logger = logging.getLogger(__name__)


_BM = TypeVar("_BM", bound=BaseModel)
_DictOrPydanticClass: TypeAlias = dict[str, Any] | type[_BM] | type
_DictOrPydantic: TypeAlias = dict | _BM


def _is_pydantic_class(obj: Any) -> bool:
    return isinstance(obj, type) and is_basemodel_subclass(obj)


class AzureChatOpenAI(BaseChatOpenAI):
    r"""Azure OpenAI chat model integration.

    Setup:
        Head to the Azure [OpenAI quickstart guide](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/chatgpt-quickstart?tabs=keyless%2Ctypescript-keyless%2Cpython-new%2Ccommand-line&pivots=programming-language-python)
        to create your Azure OpenAI deployment.

        Then install `langchain-openai` and set environment variables
        `AZURE_OPENAI_API_KEY` and `AZURE_OPENAI_ENDPOINT`:

        ```bash
        pip install -U langchain-openai

        export AZURE_OPENAI_API_KEY="your-api-key"
        export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
        ```

    Key init args — completion params:
        azure_deployment:
            Name of Azure OpenAI deployment to use.
        temperature:
            Sampling temperature.
        max_tokens:
            Max number of tokens to generate.
        logprobs:
            Whether to return logprobs.

// ... (1105 more lines)

Domain

Subdomains

Functions

Classes

Dependencies

  • collections.abc
  • langchain_core.language_models
  • langchain_core.language_models.chat_models
  • langchain_core.outputs
  • langchain_core.runnables
  • langchain_core.utils
  • langchain_core.utils.pydantic
  • langchain_openai.chat_models.base
  • logging
  • openai
  • os
  • pydantic
  • typing
  • typing_extensions

Source

Frequently Asked Questions

What does azure.py do?
azure.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 azure.py?
azure.py defines 1 function(s): _is_pydantic_class.
What does azure.py depend on?
azure.py imports 14 module(s): collections.abc, langchain_core.language_models, langchain_core.language_models.chat_models, langchain_core.outputs, langchain_core.runnables, langchain_core.utils, langchain_core.utils.pydantic, langchain_openai.chat_models.base, and 6 more.
Where is azure.py in the architecture?
azure.py is located at libs/partners/openai/langchain_openai/chat_models/azure.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/partners/openai/langchain_openai/chat_models).

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