index int64 0 0 | repo_id stringclasses 596
values | file_path stringlengths 31 168 | content stringlengths 1 6.2M |
|---|---|---|---|
0 | lc_public_repos/langchain/libs/langchain/tests/unit_tests/smith | lc_public_repos/langchain/libs/langchain/tests/unit_tests/smith/evaluation/test_string_run_evaluator.py | """Tests for the string run evaluator."""
from unittest.mock import MagicMock
from langchain.evaluation import criteria
from langchain.smith.evaluation.string_run_evaluator import (
ChainStringRunMapper,
StringRunEvaluatorChain,
)
from tests.unit_tests.llms import fake_llm
def test_evaluate_run() -> None:
... |
0 | lc_public_repos/langchain/libs/langchain/tests/unit_tests/smith | lc_public_repos/langchain/libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py | """Test the LangSmith evaluation helpers."""
import uuid
from datetime import datetime
from typing import Any, Dict, Iterator, List, Optional, Union
from unittest import mock
import pytest
from freezegun import freeze_time
from langchain_core.language_models import BaseLanguageModel
from langsmith.client import Clien... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/cache.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.cache import (
AstraDBCache,
AstraDBSemanticCache,
AzureCosmosDBSemanticCache,
CassandraCache,
CassandraSemanticCache,
FullLLMCache,
F... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/requests.py | """DEPRECATED: Kept for backwards compatibility."""
from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.utilities import (
Requests,
RequestsWrapper,
TextRequestsWrapper,
)
# Create a way to dynamically look up d... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/env.py | import platform
from functools import lru_cache
@lru_cache(maxsize=1)
def get_runtime_environment() -> dict:
"""Get information about the LangChain runtime environment."""
# Lazy import to avoid circular imports
from langchain import __version__
return {
"library_version": __version__,
... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/hub.py | """Interface with the LangChain Hub."""
from __future__ import annotations
import json
from typing import Any, Optional, Sequence
from langchain_core.load.dump import dumps
from langchain_core.load.load import loads
from langchain_core.prompts import BasePromptTemplate
def _get_client(
api_key: Optional[str] =... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/text_splitter.py | """Kept for backwards compatibility."""
from langchain_text_splitters import (
Language,
RecursiveCharacterTextSplitter,
TextSplitter,
Tokenizer,
TokenTextSplitter,
)
from langchain_text_splitters.base import split_text_on_tokens
from langchain_text_splitters.character import CharacterTextSplitter
... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/model_laboratory.py | """Experiment with different models."""
from __future__ import annotations
from typing import List, Optional, Sequence
from langchain_core.language_models.llms import BaseLLM
from langchain_core.prompts.prompt import PromptTemplate
from langchain_core.utils.input import get_color_mapping, print_text
from langchain.... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/sql_database.py | """Keep here for backwards compatibility."""
from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.utilities import SQLDatabase
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warn... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/python.py | """For backwards compatibility."""
from typing import Any
from langchain._api import create_importer
# Code has been removed from the community package as well.
# We'll proxy to community package, which will raise an appropriate exception,
# but we'll not include this in __all__, so it won't be listed as importable.... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/example_generator.py | """Keep here for backwards compatibility."""
from langchain.chains.example_generator import generate_example
__all__ = ["generate_example"]
|
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/formatting.py | """DEPRECATED: Kept for backwards compatibility."""
from langchain_core.utils.formatting import StrictFormatter, formatter
__all__ = ["StrictFormatter", "formatter"]
|
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/input.py | """DEPRECATED: Kept for backwards compatibility."""
from langchain_core.utils.input import (
get_bolded_text,
get_color_mapping,
get_colored_text,
print_text,
)
__all__ = [
"get_bolded_text",
"get_color_mapping",
"get_colored_text",
"print_text",
]
|
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/globals.py | """Global values and configuration that apply to all of LangChain."""
import warnings
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from langchain_core.caches import BaseCache
# DO NOT USE THESE VALUES DIRECTLY!
# Use them only via `get_<X>()` and `set_<X>()` below,
# or else your code may behave... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/base_language.py | """Deprecated module for BaseLanguageModel class, kept for backwards compatibility."""
from __future__ import annotations
from langchain_core.language_models import BaseLanguageModel
__all__ = ["BaseLanguageModel"]
|
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/__init__.py | # ruff: noqa: E402
"""Main entrypoint into package."""
import warnings
from importlib import metadata
from typing import Any, Optional
from langchain_core._api.deprecation import surface_langchain_deprecation_warnings
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Ca... |
0 | lc_public_repos/langchain/libs/langchain | lc_public_repos/langchain/libs/langchain/langchain/serpapi.py | """For backwards compatibility."""
from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.utilities import SerpAPIWrapper
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings an... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/rdf_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import RdfGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOO... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/hugegraph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import HugeGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LO... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/nebula_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import NebulaGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/kuzu_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import KuzuGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LO... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/graph_document.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs.graph_document import (
GraphDocument,
Node,
Relationship,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for rai... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/networkx_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import NetworkxEntityGraph
from langchain_community.graphs.networkx_graph import (
KnowledgeTriple,
get_entities,
parse_triples,
)
# Create a way to d... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/falkordb_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import FalkorDBGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATE... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/arangodb_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import ArangoGraph
from langchain_community.graphs.arangodb_graph import get_arangodb_client
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/memgraph_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import MemgraphGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATE... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/__init__.py | """**Graphs** provide a natural language interface to graph databases."""
from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import (
ArangoGraph,
FalkorDBGraph,
HugeGraph,
KuzuGraph,
MemgraphG... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/neptune_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import NeptuneGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/neo4j_graph.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs import Neo4jGraph
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_L... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/graphs/graph_store.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs.graph_store import GraphStore
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_iterator.py | from __future__ import annotations
import asyncio
import logging
import time
from typing import (
TYPE_CHECKING,
Any,
AsyncIterator,
Dict,
Iterator,
List,
Optional,
Tuple,
Union,
)
from uuid import UUID
from langchain_core.agents import (
AgentAction,
AgentFinish,
Agent... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/initialize.py | """Load agent."""
from typing import Any, Optional, Sequence
from langchain_core._api import deprecated
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import BaseTool
from langchain._api.deprecation import AGENT_DEPRECAT... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/types.py | from typing import Dict, Type, Union
from langchain.agents.agent import BaseSingleActionAgent
from langchain.agents.agent_types import AgentType
from langchain.agents.chat.base import ChatAgent
from langchain.agents.conversational.base import ConversationalAgent
from langchain.agents.conversational_chat.base import Co... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/agent.py | """Chain that takes in an input and produces an action and action input."""
from __future__ import annotations
import asyncio
import json
import logging
import time
from abc import abstractmethod
from pathlib import Path
from typing import (
Any,
AsyncIterator,
Callable,
Dict,
Iterator,
List,
... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/schema.py | from typing import Any, Dict, List, Tuple
from langchain_core.agents import AgentAction
from langchain_core.prompts.chat import ChatPromptTemplate
class AgentScratchPadChatPromptTemplate(ChatPromptTemplate):
"""Chat prompt template for the agent scratchpad."""
@classmethod
def is_lc_serializable(cls) ->... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/tools.py | """Interface for tools."""
from typing import List, Optional
from langchain_core.callbacks import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool, tool
class InvalidTool(BaseTool): # type: ignore[override]
"""Tool that is run when invalid tool na... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_types.py | """Module definitions of agent types together with corresponding agents."""
from enum import Enum
from langchain_core._api import deprecated
from langchain._api.deprecation import AGENT_DEPRECATION_WARNING
@deprecated(
"0.1.0",
message=AGENT_DEPRECATION_WARNING,
removal="1.0",
)
class AgentType(str, En... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/utils.py | from typing import Sequence
from langchain_core.tools import BaseTool
def validate_tools_single_input(class_name: str, tools: Sequence[BaseTool]) -> None:
"""Validate tools for single input.
Args:
class_name: Name of the class.
tools: List of tools to validate.
Raises:
ValueErro... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/__init__.py | """
**Agent** is a class that uses an LLM to choose a sequence of actions to take.
In Chains, a sequence of actions is hardcoded. In Agents,
a language model is used as a reasoning engine to determine which actions
to take and in which order.
Agents select and use **Tools** and **Toolkits** for actions.
**Class hier... |
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/load_tools.py | from typing import Any
from langchain._api import create_importer
_importer = create_importer(
__package__, fallback_module="langchain_community.agent_toolkits.load_tools"
)
def __getattr__(name: str) -> Any:
"""Look up attributes dynamically."""
return _importer(name)
|
0 | lc_public_repos/langchain/libs/langchain/langchain | lc_public_repos/langchain/libs/langchain/langchain/agents/loading.py | """Functionality for loading agents."""
import json
import logging
from pathlib import Path
from typing import Any, List, Optional, Union
import yaml
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import Tool
from langchain.agents.age... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/conversational_chat/base.py | """An agent designed to hold a conversation in addition to using tools."""
from __future__ import annotations
from typing import Any, List, Optional, Sequence, Tuple
from langchain_core._api import deprecated
from langchain_core.agents import AgentAction
from langchain_core.callbacks import BaseCallbackManager
from ... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/conversational_chat/output_parser.py | from __future__ import annotations
from typing import Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain_core.utils.json import parse_json_markdown
from langchain.agents import AgentOutputParser
from langchain.agents.conversatio... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/conversational_chat/__init__.py | """An agent designed to hold a conversation in addition to using tools."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/conversational_chat/prompt.py | # flake8: noqa
PREFIX = """Assistant is a large language model trained by OpenAI.
Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/openai_assistant/base.py | from __future__ import annotations
import asyncio
import json
from json import JSONDecodeError
from time import sleep
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Sequence,
Tuple,
Type,
Union,
)
from langchain_core.agents import AgentAction, AgentFin... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/openai_assistant/__init__.py | from langchain.agents.openai_assistant.base import OpenAIAssistantRunnable
__all__ = ["OpenAIAssistantRunnable"]
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/chat/base.py | from typing import Any, List, Optional, Sequence, Tuple
from langchain_core._api import deprecated
from langchain_core.agents import AgentAction
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
fr... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/chat/output_parser.py | import json
import re
from typing import Pattern, Union
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from langchain.agents.agent import AgentOutputParser
from langchain.agents.chat.prompt import FORMAT_INSTRUCTIONS
FINAL_ANSWER_ACTION = "Final... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/chat/prompt.py | # flake8: noqa
SYSTEM_MESSAGE_PREFIX = """Answer the following questions as best you can. You have access to the following tools:"""
FORMAT_INSTRUCTIONS = """The way you use the tools is by specifying a json blob.
Specifically, this json should have a `action` key (with the name of the tool to use) and a `action_input`... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/xml.py | from typing import List, Tuple
from langchain_core.agents import AgentAction
def format_xml(
intermediate_steps: List[Tuple[AgentAction, str]],
) -> str:
"""Format the intermediate steps as XML.
Args:
intermediate_steps: The intermediate steps.
Returns:
The intermediate steps as XML... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/log.py | from typing import List, Tuple
from langchain_core.agents import AgentAction
def format_log_to_str(
intermediate_steps: List[Tuple[AgentAction, str]],
observation_prefix: str = "Observation: ",
llm_prefix: str = "Thought: ",
) -> str:
"""Construct the scratchpad that lets the agent continue its thoug... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/openai_functions.py | import json
from typing import List, Sequence, Tuple
from langchain_core.agents import AgentAction, AgentActionMessageLog
from langchain_core.messages import AIMessage, BaseMessage, FunctionMessage
def _convert_agent_action_to_messages(
agent_action: AgentAction, observation: str
) -> List[BaseMessage]:
"""C... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/openai_tools.py | from langchain.agents.format_scratchpad.tools import (
format_to_tool_messages as format_to_openai_tool_messages,
)
__all__ = ["format_to_openai_tool_messages"]
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/tools.py | import json
from typing import List, Sequence, Tuple
from langchain_core.agents import AgentAction
from langchain_core.messages import (
AIMessage,
BaseMessage,
ToolMessage,
)
from langchain.agents.output_parsers.tools import ToolAgentAction
def _create_tool_message(
agent_action: ToolAgentAction, o... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/log_to_messages.py | from typing import List, Tuple
from langchain_core.agents import AgentAction
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
def format_log_to_messages(
intermediate_steps: List[Tuple[AgentAction, str]],
template_tool_response: str = "{observation}",
) -> List[BaseMessage]:
"""Co... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/format_scratchpad/__init__.py | """Logic for formatting intermediate steps into an agent scratchpad.
Intermediate steps refers to the list of (AgentAction, observation) tuples
that result from previous iterations of the agent.
Depending on the prompting strategy you are using, you may want to format these
differently before passing them into the LLM... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/json_chat/base.py | from typing import List, Sequence, Union
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts.chat import ChatPromptTemplate
from langchain_core.runnables import Runnable, RunnablePassthrough
from langchain_core.tools import BaseTool
from langchain_core.tools.render import ToolsRend... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/json_chat/prompt.py | # flake8: noqa
TEMPLATE_TOOL_RESPONSE = """TOOL RESPONSE:
---------------------
{observation}
USER'S INPUT
--------------------
Okay, so what is the response to my last comment? If using information obtained from the tools you must mention it explicitly without mentioning the tool names - I have forgotten all TOOL R... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/tool_calling_agent/base.py | from typing import Callable, List, Sequence, Tuple
from langchain_core.agents import AgentAction
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import BaseMessage
from langchain_core.prompts.chat import ChatPromptTemplate
from langchain_core.runnables import Runnable, Runnabl... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/base.py | from langchain_core.tools import BaseToolkit
__all__ = ["BaseToolkit"]
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/azure_cognitive_services.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.azure_cognitive_services import (
AzureCognitiveServicesToolkit,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raisi... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/__init__.py | """Agent toolkits contain integrations with various resources and services.
LangChain has a large ecosystem of integrations with various external resources
like local and remote file systems, APIs and databases.
These integrations allow developers to create versatile applications that combine the
power of LLMs with t... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/ainetwork/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.ainetwork.toolkit import AINetworkToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handlin... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/ainetwork/__init__.py | """AINetwork toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/powerbi/base.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.powerbi.base import create_pbi_agent
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling opt... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/powerbi/chat_base.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.powerbi.chat_base import (
create_pbi_chat_agent,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation ... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/powerbi/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.powerbi.toolkit import PowerBIToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling op... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/powerbi/__init__.py | """Power BI agent."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/powerbi/prompt.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.powerbi.prompt import (
POWERBI_CHAT_PREFIX,
POWERBI_CHAT_SUFFIX,
POWERBI_PREFIX,
POWERBI_SUFFIX,
)
# Create a way to dynamically look up ... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/github/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.github.toolkit import (
BranchName,
CommentOnIssue,
CreateFile,
CreatePR,
CreateReviewRequest,
DeleteFile,
DirectoryPat... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/github/__init__.py | """GitHub Toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/gitlab/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.gitlab.toolkit import GitLabToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling opti... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/gitlab/__init__.py | """GitLab Toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/gmail/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.gmail.toolkit import GmailToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling option... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/gmail/__init__.py | """Gmail toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/multion/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.multion.toolkit import MultionToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling op... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/multion/__init__.py | """MultiOn Toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/sql/base.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.sql.base import create_sql_agent
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optiona... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/sql/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.sql.toolkit import SQLDatabaseToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling op... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/sql/__init__.py | """SQL agent."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/sql/prompt.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.sql.prompt import (
SQL_FUNCTIONS_SUFFIX,
SQL_PREFIX,
SQL_SUFFIX,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidat... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/slack/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.slack.toolkit import SlackToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling option... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/slack/__init__.py | """Slack toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/base.py | """VectorStore agent."""
from typing import Any, Dict, Optional
from langchain_core._api import deprecated
from langchain_core.callbacks.base import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.v... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/toolkit.py | """Toolkit for interacting with a vector store."""
from typing import List
from langchain_core.language_models import BaseLanguageModel
from langchain_core.tools import BaseTool
from langchain_core.tools.base import BaseToolkit
from langchain_core.vectorstores import VectorStore
from pydantic import BaseModel, Config... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/__init__.py | """Agent toolkit for interacting with vector stores."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/vectorstore/prompt.py | # flake8: noqa
PREFIX = """You are an agent designed to answer questions about sets of documents.
You have access to tools for interacting with the documents, and the inputs to the tools are questions.
Sometimes, you will be asked to provide sources for your questions, in which case you should use the appropriate tool... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/xorbits/__init__.py | from pathlib import Path
from typing import Any
from langchain_core._api.path import as_import_path
def __getattr__(name: str) -> Any:
"""Get attr name."""
if name == "create_xorbits_agent":
# Get directory of langchain package
HERE = Path(__file__).parents[3]
here = as_import_path(P... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/jira/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.jira.toolkit import JiraToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/jira/__init__.py | """Jira Toolkit."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/base.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.spark_sql.base import create_spark_sql_agent
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# hand... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.spark_sql.toolkit import SparkSQLToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/__init__.py | """Spark SQL agent."""
|
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/spark_sql/prompt.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.spark_sql.prompt import (
SQL_PREFIX,
SQL_SUFFIX,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising depr... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/file_management/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.file_management.toolkit import (
FileManagementToolkit,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprec... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/file_management/__init__.py | """Local file management toolkit."""
from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.file_management.toolkit import (
FileManagementToolkit,
)
# Create a way to dynamically look up deprecated imports.
# Used t... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/amadeus/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.amadeus.toolkit import AmadeusToolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling op... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/spark/__init__.py | from pathlib import Path
from typing import Any
from langchain_core._api.path import as_import_path
def __getattr__(name: str) -> Any:
"""Get attr name."""
if name == "create_spark_dataframe_agent":
# Get directory of langchain package
HERE = Path(__file__).parents[3]
here = as_impor... |
0 | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits | lc_public_repos/langchain/libs/langchain/langchain/agents/agent_toolkits/office365/toolkit.py | from typing import TYPE_CHECKING, Any
from langchain._api import create_importer
if TYPE_CHECKING:
from langchain_community.agent_toolkits.office365.toolkit import O365Toolkit
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling opt... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.