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import asyncio import logging import pathlib import queue import tempfile import threading import wave from enum import Enum from typing import ( TYPE_CHECKING, Any, AsyncGenerator, AsyncIterator, Dict, Generator, Iterator, List, Optional, Tuple, Union, cast, ) from langc...
Create a new wave file and return the wave write object and filename.
28,531
import asyncio import logging import pathlib import queue import tempfile import threading import wave from enum import Enum from typing import ( TYPE_CHECKING, Any, AsyncGenerator, AsyncIterator, Dict, Generator, Iterator, List, Optional, Tuple, Union, cast, ) from langc...
Filter the input chunks are return strings ready for TTS.
28,532
from typing import Any, List def _get_anthropic_client() -> Any: try: import anthropic except ImportError: raise ImportError( "Could not import anthropic python package. " "This is needed in order to accurately tokenize the text " "for anthropic models. Please...
Get the number of tokens in a string of text.
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from typing import Any, List def _get_anthropic_client() -> Any: try: import anthropic except ImportError: raise ImportError( "Could not import anthropic python package. " "This is needed in order to accurately tokenize the text " "for anthropic models. Please...
Get the token ids for a string of text.
28,534
from __future__ import annotations import logging import re from typing import TYPE_CHECKING, Any, List, Optional, Pattern from urllib.parse import urlparse import numpy as np def _array_to_buffer(array: List[float], dtype: Any = np.float32) -> bytes: return np.array(array).astype(dtype).tobytes()
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from __future__ import annotations import logging import re from typing import TYPE_CHECKING, Any, List, Optional, Pattern from urllib.parse import urlparse import numpy as np def _buffer_to_array(buffer: bytes, dtype: Any = np.float32) -> List[float]: return np.frombuffer(buffer, dtype=dtype).tolist()
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from __future__ import annotations import logging import re from typing import TYPE_CHECKING, Any, List, Optional, Pattern from urllib.parse import urlparse import numpy as np logger = logging.getLogger(__name__) The provided code snippet includes necessary dependencies for implementing the `check_redis_module_exist` ...
Check if the correct Redis modules are installed.
28,537
from __future__ import annotations import logging import re from typing import TYPE_CHECKING, Any, List, Optional, Pattern from urllib.parse import urlparse import numpy as np def _redis_sentinel_client(redis_url: str, **kwargs: Any) -> RedisType: """helper method to parse an (un-official) redis+sentinel url an...
Get a redis client from the connection url given. This helper accepts urls for Redis server (TCP with/without TLS or UnixSocket) as well as Redis Sentinel connections. Redis Cluster is not supported. Before creating a connection the existence of the database driver is checked an and ValueError raised otherwise To use, ...
28,538
from __future__ import annotations import json from datetime import timedelta from typing import TYPE_CHECKING, Any, Optional from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.messages import ( BaseMessage, message_to_dict, messages_from_dict, ) from langchain_core.utils imp...
Create cache if it doesn't exist. Raises: SdkException: Momento service or network error Exception: Unexpected response
28,539
from __future__ import annotations import logging from typing import TYPE_CHECKING, List, Optional from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.messages import ( BaseMessage, messages_from_dict, messages_to_dict, ) logger = logging.getLogger(__name__) def _get_firestor...
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import json import logging from abc import ABC, abstractmethod from typing import Any, List, Optional from sqlalchemy import Column, Integer, Text, create_engine from langchain_core.chat_history import BaseChatMessageHistory from langchain_core.messages import ( BaseMessage, message_to_dict, messages_from_d...
Create a message model for a given table name. Args: table_name: The name of the table to use. DynamicBase: The base class to use for the model. Returns: The model class.
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from typing import Any, Dict, List, Optional, Sequence from langchain_community.indexes.base import RecordManager def _import_pymongo() -> Any: """Import PyMongo if available, otherwise raise error.""" try: from pymongo import MongoClient except ImportError: raise ImportError(IMPORT_PYMONGO_...
Get MongoClient for sync operations from the mongodb_url, otherwise raise error.
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from typing import Any, Dict, List, Optional, Sequence from langchain_community.indexes.base import RecordManager def _import_motor_asyncio() -> Any: """Import Motor if available, otherwise raise error.""" try: from motor.motor_asyncio import AsyncIOMotorClient except ImportError: raise Impo...
Get AsyncIOMotorClient for async operations from the mongodb_url, otherwise raise error.
28,543
from dataclasses import dataclass from typing import List, Tuple from langchain_core.utils.json_schema import dereference_refs class ReducedOpenAPISpec: """A reduced OpenAPI spec. This is a quick and dirty representation for OpenAPI specs. Attributes: servers: The servers in the spec. descri...
Simplify/distill/minify a spec somehow. I want a smaller target for retrieval and (more importantly) I want smaller results from retrieval. I was hoping https://openapi.tools/ would have some useful bits to this end, but doesn't seem so.
28,544
import json import re from functools import partial from typing import Any, Callable, Dict, List, Optional, cast import yaml from langchain_core.callbacks import BaseCallbackManager from langchain_core.language_models import BaseLanguageModel from langchain_core.prompts import BasePromptTemplate, PromptTemplate from la...
Returns a default LLMChain factory.
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import json import re from functools import partial from typing import Any, Callable, Dict, List, Optional, cast import yaml from langchain_core.callbacks import BaseCallbackManager from langchain_core.language_models import BaseLanguageModel from langchain_core.prompts import BasePromptTemplate, PromptTemplate from la...
Instantiate OpenAI API planner and controller for a given spec. Inject credentials via requests_wrapper. We use a top-level "orchestrator" agent to invoke the planner and controller, rather than a top-level planner that invokes a controller with its plan. This is to keep the planner simple.
28,546
from __future__ import annotations from typing import TYPE_CHECKING, Any, Dict, List, Optional from langchain_core.callbacks import BaseCallbackManager from langchain_core.language_models import BaseLanguageModel from langchain_community.agent_toolkits.openapi.prompt import ( OPENAPI_PREFIX, OPENAPI_SUFFIX, ) f...
Construct an OpenAPI agent from an LLM and tools. *Security Note*: When creating an OpenAPI agent, check the permissions and capabilities of the underlying toolkit. For example, if the default implementation of OpenAPIToolkit uses the RequestsToolkit which contains tools to make arbitrary network requests against any U...
28,547
from __future__ import annotations from typing import TYPE_CHECKING, Any, Dict, List, Optional from langchain_core.callbacks import BaseCallbackManager, Callbacks from langchain_core.language_models import BaseLanguageModel from langchain_community.agent_toolkits.spark_sql.prompt import SQL_PREFIX, SQL_SUFFIX from lang...
Construct a Spark SQL agent from an LLM and tools.
28,548
from __future__ import annotations import warnings from typing import ( TYPE_CHECKING, Any, Dict, List, Literal, Optional, Sequence, Union, cast, ) from langchain_core.messages import AIMessage, SystemMessage from langchain_core.prompts import BasePromptTemplate, PromptTemplate from ...
Construct a SQL agent from an LLM and toolkit or database. Args: llm: Language model to use for the agent. toolkit: SQLDatabaseToolkit for the agent to use. Must provide exactly one of 'toolkit' or 'db'. Specify 'toolkit' if you want to use a different model for the agent and the toolkit. agent_type: One of "openai-too...
28,549
from __future__ import annotations from typing import TYPE_CHECKING, Any, Dict, List, Optional from langchain_core.callbacks import BaseCallbackManager from langchain_core.language_models.chat_models import BaseChatModel from langchain_community.agent_toolkits.powerbi.prompt import ( POWERBI_CHAT_PREFIX, POWERB...
Construct a Power BI agent from a Chat LLM and tools. If you supply only a toolkit and no Power BI dataset, the same LLM is used for both.
28,550
from __future__ import annotations from typing import TYPE_CHECKING, Any, Dict, List, Optional from langchain_core.callbacks import BaseCallbackManager from langchain_core.language_models import BaseLanguageModel from langchain_community.agent_toolkits.powerbi.prompt import ( POWERBI_PREFIX, POWERBI_SUFFIX, ) f...
Construct a Power BI agent from an LLM and tools.
28,551
from __future__ import annotations from typing import TYPE_CHECKING, Any, Dict, List, Optional from langchain_core.callbacks import BaseCallbackManager from langchain_core.language_models import BaseLanguageModel from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX from langchain_communit...
Construct a json agent from an LLM and tools.
28,552
import logging from typing import Any, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIMessage, BaseMessage, Human...
Parse a sequence of messages into history.
28,553
from __future__ import annotations import asyncio import functools import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Union, cast, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManag...
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28,554
from __future__ import annotations import asyncio import functools import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Union, cast, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManag...
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28,555
from __future__ import annotations import asyncio import functools import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Union, cast, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManag...
Convert a message to a dict.
28,556
from __future__ import annotations import asyncio import functools import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Union, cast, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManag...
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28,557
from __future__ import annotations import base64 import logging import re from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union, cast from urllib.parse import urlparse import requests from langchain_core._api.deprecation import deprecated from langchain_co...
Parse a sequence of messages into history. Args: history: The list of messages to re-create the history of the chat. Returns: A parsed chat history. Raises: ValueError: If a sequence of message has a SystemMessage not at the first place.
28,558
from __future__ import annotations import base64 import logging import re from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union, cast from urllib.parse import urlparse import requests from langchain_core._api.deprecation import deprecated from langchain_co...
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28,559
from __future__ import annotations import base64 import logging import re from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union, cast from urllib.parse import urlparse import requests from langchain_core._api.deprecation import deprecated from langchain_co...
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28,560
from __future__ import annotations import base64 import logging import re from dataclasses import dataclass, field from typing import TYPE_CHECKING, Any, Dict, Iterator, List, Optional, Union, cast from urllib.parse import urlparse import requests from langchain_core._api.deprecation import deprecated from langchain_co...
Get the human message at the end of a list of input messages to a chat model.
28,561
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
Use tenacity to retry the async completion call.
28,562
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,563
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,564
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
Convert a LangChain message to a dictionary. Args: message: The LangChain message. Returns: The dictionary.
28,565
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
Use tenacity to retry the async completion call.
28,566
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,567
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,568
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,569
import re from typing import Any, Dict, Iterator, List, Optional, Tuple, Union from langchain_core.callbacks import ( CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIMessage, AIMessageChunk, BaseMessage, ChatMes...
Convert a list of messages to a prompt for mistral.
28,570
import re from typing import Any, Dict, Iterator, List, Optional, Tuple, Union from langchain_core.callbacks import ( CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIMessage, AIMessageChunk, BaseMessage, ChatMes...
Format messages for anthropic.
28,571
from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Type, Union, ) from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.langu...
Convert a delta response to a message chunk.
28,572
from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Type, Union, ) from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.langu...
Convert a dict response to a message.
28,573
from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Type, Union, ) from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.langu...
Use tenacity to retry the completion call.
28,574
from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Type, Union, ) from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.langu...
Use tenacity to retry the async completion call.
28,575
from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Type, Union, ) from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.langu...
Use tenacity to retry the completion call for streaming.
28,576
import base64 import hashlib import hmac import json import logging import queue import threading from datetime import datetime from queue import Queue from time import mktime from typing import Any, Dict, Generator, Iterator, List, Mapping, Optional, Type from urllib.parse import urlencode, urlparse, urlunparse from w...
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28,577
import base64 import hashlib import hmac import json import logging import queue import threading from datetime import datetime from queue import Queue from time import mktime from typing import Any, Dict, Generator, Iterator, List, Mapping, Optional, Type from urllib.parse import urlencode, urlparse, urlunparse from w...
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28,578
import base64 import hashlib import hmac import json import logging import queue import threading from datetime import datetime from queue import Queue from time import mktime from typing import Any, Dict, Generator, Iterator, List, Mapping, Optional, Type from urllib.parse import urlencode, urlparse, urlunparse from w...
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28,579
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,580
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
Use tenacity to retry the async completion call.
28,581
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,582
from __future__ import annotations import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from l...
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28,583
import base64 import hashlib import hmac import json import logging import time from typing import Any, Dict, Iterator, List, Mapping, Optional, Type from urllib.parse import urlparse import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( ...
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28,584
import base64 import hashlib import hmac import json import logging import time from typing import Any, Dict, Iterator, List, Mapping, Optional, Type from urllib.parse import urlparse import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( ...
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28,585
import base64 import hashlib import hmac import json import logging import time from typing import Any, Dict, Iterator, List, Mapping, Optional, Type from urllib.parse import urlparse import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( ...
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28,586
import base64 import hashlib import hmac import json import logging import time from typing import Any, Dict, Iterator, List, Mapping, Optional, Type from urllib.parse import urlparse import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( ...
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28,587
import logging from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIM...
Convert a message to a dictionary that can be passed to the API.
28,588
import logging from typing import Any, AsyncIterator, Dict, Iterator, List, Mapping, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIM...
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28,589
from typing import ( Any, AsyncIterator, Iterator, List, Mapping, Optional, ) from langchain_core.callbacks.manager import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( agenerate_from_stream, generate_from_st...
Get llm output from usage and params.
28,590
from __future__ import annotations import logging from typing import Any, Callable, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages impor...
Use tenacity to retry the completion call.
28,591
from __future__ import annotations import logging from typing import Any, Callable, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages impor...
Use tenacity to retry the async completion call.
28,592
import logging import threading from typing import Any, Dict, List, Mapping, Optional import requests from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages imp...
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28,593
import json from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union, cast from langchain_core._api import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from la...
Convert a stream response to a generation chunk.
28,594
import json from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union, cast from langchain_core._api import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from la...
Convert a stream response to a generation chunk.
28,595
import json import logging from typing import Any, Dict, Iterator, List, Mapping, Optional, Type import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( BaseChatModel, generate_from_stream, ) from langchain_core.messages import ( ...
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28,596
import json import logging from typing import Any, Dict, Iterator, List, Mapping, Optional, Type import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( BaseChatModel, generate_from_stream, ) from langchain_core.messages import ( ...
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28,597
import json import logging from typing import Any, Dict, Iterator, List, Mapping, Optional, Type import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( BaseChatModel, generate_from_stream, ) from langchain_core.messages import ( ...
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28,598
from __future__ import annotations from typing import Any, AsyncIterator, Dict, Iterator, List, Optional from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( BaseChatModel, agenerate_from_stream, ge...
Get a request of the Friendli chat API. Args: messages (List[BaseMessage]): Messages comprising the conversation so far. Returns: Dict[str, Any]: The request for the Friendli chat API.
28,599
from __future__ import annotations import logging from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core...
Converts a PaLM API response into a LangChain ChatResult.
28,600
from __future__ import annotations import logging from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core...
Converts a list of LangChain messages into a PaLM API MessagePrompt structure.
28,601
from __future__ import annotations import logging from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core...
Use tenacity to retry the completion call.
28,602
from __future__ import annotations import logging from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core...
Use tenacity to retry the async completion call.
28,603
from __future__ import annotations import logging from typing import ( TYPE_CHECKING, Any, AsyncGenerator, AsyncIterator, Callable, Dict, Generator, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackMa...
Use tenacity to retry the completion call.
28,604
from __future__ import annotations import logging from typing import ( TYPE_CHECKING, Any, AsyncGenerator, AsyncIterator, Callable, Dict, Generator, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) from langchain_core.callbacks import ( AsyncCallbackMa...
Use tenacity to retry the async completion call.
28,605
from __future__ import annotations import logging import os import sys from typing import ( TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple, Type, Union, ) from langchain_core._api.deprecation import deprecated fro...
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28,606
from __future__ import annotations import logging import os import sys from typing import ( TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple, Type, Union, ) from langchain_core._api.deprecation import deprecated fro...
Use tenacity to retry the async completion call.
28,607
from __future__ import annotations import logging import os import sys from typing import ( TYPE_CHECKING, Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Sequence, Tuple, Type, Union, ) from langchain_core._api.deprecation import deprecated fro...
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28,608
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, cast from langchain_core._api.deprecation import deprecated from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( BaseChatModel, age...
Format a list of messages into a full prompt for the Anthropic model Args: messages (List[BaseMessage]): List of BaseMessage to combine. human_prompt (str, optional): Human prompt tag. Defaults to "\n\nHuman:". ai_prompt (str, optional): AI prompt tag. Defaults to "\n\nAssistant:". Returns: str: Combined string with ne...
28,609
from __future__ import annotations import json import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) import aiohttp import requests from langchain_core.callbacks.manager import ( AsyncCallbackManag...
Returns a tenacity retry decorator, preconfigured to handle PaLM exceptions.
28,610
from __future__ import annotations import json import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) import aiohttp import requests from langchain_core.callbacks.manager import ( AsyncCallbackManag...
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from __future__ import annotations import json import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) import aiohttp import requests from langchain_core.callbacks.manager import ( AsyncCallbackManag...
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28,612
from __future__ import annotations import json import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) import aiohttp import requests from langchain_core.callbacks.manager import ( AsyncCallbackManag...
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28,613
from __future__ import annotations import json import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) import aiohttp import requests from langchain_core.callbacks.manager import ( AsyncCallbackManag...
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from __future__ import annotations import json import logging from typing import ( Any, AsyncIterator, Callable, Dict, Iterator, List, Mapping, Optional, Tuple, Type, Union, ) import aiohttp import requests from langchain_core.callbacks.manager import ( AsyncCallbackManag...
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28,615
from __future__ import annotations from typing import Any, Dict, Iterator, List, Mapping, Optional, cast from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIMessage, AIMessageChunk, BaseMes...
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from __future__ import annotations from typing import Any, Dict, Iterator, List, Mapping, Optional, cast from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( AIMessage, AIMessageChunk, BaseMes...
Convert a dict to a message.
28,617
from io import StringIO from typing import Any, Callable, Dict, List, Mapping, Optional import yaml from langchain_core.callbacks import ( CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( BaseMessage, HumanMessage, _me...
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from io import StringIO from typing import Any, Callable, Dict, List, Mapping, Optional import yaml from langchain_core.callbacks import ( CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import BaseChatModel from langchain_core.messages import ( BaseMessage, HumanMessage, _me...
Collects and returns user input as a single string.
28,619
import json from typing import Any, AsyncIterator, Dict, Iterator, List, Optional from aiohttp import ClientSession from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( BaseChatModel, agenerate_from_str...
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import logging from typing import Any, AsyncIterator, Iterator, List, Optional from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( BaseChatModel, agenerate_from_stream, generate_from_stream, ) from...
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import logging from typing import Any, AsyncIterator, Iterator, List, Optional from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( BaseChatModel, agenerate_from_stream, generate_from_stream, ) from...
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from typing import List from langchain_core.messages import ( AIMessage, BaseMessage, ChatMessage, HumanMessage, SystemMessage, ) def _convert_one_message_to_text_llama(message: BaseMessage) -> str: if isinstance(message, ChatMessage): message_text = f"\n\n{message.role.capitalize()}: {m...
Convert a list of messages to a prompt for llama.
28,623
import json import logging import re from typing import Any, Dict, Iterator, List, Mapping, Optional, Type import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( BaseChatModel, generate_from_stream, ) from langchain_core.messages im...
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28,624
import json import logging import re from typing import Any, Dict, Iterator, List, Mapping, Optional, Type import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( BaseChatModel, generate_from_stream, ) from langchain_core.messages im...
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28,625
import json import logging import re from typing import Any, Dict, Iterator, List, Mapping, Optional, Type import requests from langchain_core.callbacks import CallbackManagerForLLMRun from langchain_core.language_models.chat_models import ( BaseChatModel, generate_from_stream, ) from langchain_core.messages im...
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28,626
from typing import Any, AsyncIterator, Dict, Iterator, List, Optional from langchain_core.callbacks import ( AsyncCallbackManagerForLLMRun, CallbackManagerForLLMRun, ) from langchain_core.language_models.chat_models import ( BaseChatModel, agenerate_from_stream, generate_from_stream, ) from langchai...
Get the request for the Cohere chat API. Args: messages: The messages. connectors: The connectors. **kwargs: The keyword arguments. Returns: The request for the Cohere chat API.
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import base64 import re from typing import Any, Iterator from langchain_core.chat_sessions import ChatSession from langchain_core.messages import HumanMessage from langchain_community.chat_loaders.base import BaseChatLoader def _extract_email_content(msg: Any) -> HumanMessage: from_email = None for values in ms...
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from copy import deepcopy from typing import Iterable, Iterator, List from langchain_core.chat_sessions import ChatSession from langchain_core.messages import AIMessage, BaseMessage def merge_chat_runs_in_session( chat_session: ChatSession, delimiter: str = "\n\n" ) -> ChatSession: """Merge chat runs together i...
Merge chat runs together. A chat run is a sequence of messages from the same sender. Args: chat_sessions: A list of chat sessions. Returns: A list of chat sessions with merged chat runs.
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from copy import deepcopy from typing import Iterable, Iterator, List from langchain_core.chat_sessions import ChatSession from langchain_core.messages import AIMessage, BaseMessage def map_ai_messages_in_session(chat_sessions: ChatSession, sender: str) -> ChatSession: """Convert messages from the specified 'sender...
Convert messages from the specified 'sender' to AI messages. This is useful for fine-tuning the AI to adapt to your voice.