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chat_models.py — langchain Source File

Architecture documentation for chat_models.py, a python file in the langchain codebase. 20 imports, 0 dependents.

File python CoreAbstractions MessageSchema 20 imports 3 functions 1 classes

Entity Profile

Dependency Diagram

graph LR
  e9b34d99_3e5a_1a75_cd36_472062f121d0["chat_models.py"]
  2a7f66a7_8738_3d47_375b_70fcaa6ac169["logging"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 2a7f66a7_8738_3d47_375b_70fcaa6ac169
  cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7["collections.abc"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7
  7aaf52d4_ee88_411e_980e_bc4beeeb30ad["operator"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 7aaf52d4_ee88_411e_980e_bc4beeeb30ad
  8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3
  f3bc7443_c889_119d_0744_aacc3620d8d2["langchain_core.callbacks"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> f3bc7443_c889_119d_0744_aacc3620d8d2
  ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> ba43b74d_3099_7e1c_aac3_cf594720469e
  2312f229_c199_ac88_c29f_62e2a2958404["langchain_core.language_models.chat_models"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 2312f229_c199_ac88_c29f_62e2a2958404
  d758344f_537f_649e_f467_b9d7442e86df["langchain_core.messages"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> d758344f_537f_649e_f467_b9d7442e86df
  4eb42b7a_5c64_04cb_fcec_1401d5c10628["langchain_core.messages.ai"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 4eb42b7a_5c64_04cb_fcec_1401d5c10628
  ac2a9b92_4484_491e_1b48_ec85e71e1d58["langchain_core.outputs"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> ac2a9b92_4484_491e_1b48_ec85e71e1d58
  2ceb1686_0f8c_8ae0_36d1_7c0b702fda1c["langchain_core.runnables"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 2ceb1686_0f8c_8ae0_36d1_7c0b702fda1c
  f4d905c6_a2b2_eb8f_be9b_7808b72f6a16["langchain_core.utils"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> f4d905c6_a2b2_eb8f_be9b_7808b72f6a16
  a6f93333_6d02_5473_677b_843422594588["langchain_core.utils.function_calling"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> a6f93333_6d02_5473_677b_843422594588
  1014fe78_cb2c_fde4_a624_ae899aa7ca8e["langchain_core.utils.pydantic"]
  e9b34d99_3e5a_1a75_cd36_472062f121d0 --> 1014fe78_cb2c_fde4_a624_ae899aa7ca8e
  style e9b34d99_3e5a_1a75_cd36_472062f121d0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""Wrapper around Perplexity APIs."""

from __future__ import annotations

import logging
from collections.abc import AsyncIterator, Iterator, Mapping
from operator import itemgetter
from typing import Any, Literal, TypeAlias, cast

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,
    agenerate_from_stream,
    generate_from_stream,
)
from langchain_core.messages import (
    AIMessage,
    AIMessageChunk,
    BaseMessage,
    BaseMessageChunk,
    ChatMessage,
    ChatMessageChunk,
    FunctionMessageChunk,
    HumanMessage,
    HumanMessageChunk,
    SystemMessage,
    SystemMessageChunk,
    ToolMessageChunk,
)
from langchain_core.messages.ai import (
    OutputTokenDetails,
    UsageMetadata,
    subtract_usage,
)
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.runnables import Runnable, RunnableMap, RunnablePassthrough
from langchain_core.utils import get_pydantic_field_names, secret_from_env
from langchain_core.utils.function_calling import convert_to_json_schema
from langchain_core.utils.pydantic import is_basemodel_subclass
from perplexity import AsyncPerplexity, Perplexity
from pydantic import BaseModel, ConfigDict, Field, SecretStr, model_validator
from typing_extensions import Self

from langchain_perplexity.data._profiles import _PROFILES
from langchain_perplexity.output_parsers import (
    ReasoningJsonOutputParser,
    ReasoningStructuredOutputParser,
)
from langchain_perplexity.types import MediaResponse, WebSearchOptions

_DictOrPydanticClass: TypeAlias = dict[str, Any] | type[BaseModel]
_DictOrPydantic: TypeAlias = dict | BaseModel
// ... (757 more lines)

Domain

Subdomains

Functions

Classes

Dependencies

  • collections.abc
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.language_models.chat_models
  • langchain_core.messages
  • langchain_core.messages.ai
  • langchain_core.outputs
  • langchain_core.runnables
  • langchain_core.utils
  • langchain_core.utils.function_calling
  • langchain_core.utils.pydantic
  • langchain_perplexity.data._profiles
  • langchain_perplexity.output_parsers
  • langchain_perplexity.types
  • logging
  • operator
  • perplexity
  • 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 3 function(s): _create_usage_metadata, _get_default_model_profile, _is_pydantic_class.
What does chat_models.py depend on?
chat_models.py imports 20 module(s): collections.abc, langchain_core.callbacks, langchain_core.language_models, langchain_core.language_models.chat_models, langchain_core.messages, langchain_core.messages.ai, langchain_core.outputs, langchain_core.runnables, and 12 more.
Where is chat_models.py in the architecture?
chat_models.py is located at libs/partners/perplexity/langchain_perplexity/chat_models.py (domain: CoreAbstractions, subdomain: MessageSchema, directory: libs/partners/perplexity/langchain_perplexity).

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