id stringlengths 14 16 | text stringlengths 31 2.41k | source stringlengths 54 121 |
|---|---|---|
e31c2c2d80a6-9 | path: str,
method: str,
) -> "APIOperation":
"""Create an APIOperation from an OpenAPI URL."""
spec = OpenAPISpec.from_url(spec_url)
return cls.from_openapi_spec(spec, path, method)
[docs] @classmethod
def from_openapi_spec(
cls,
spec: OpenAPISpec,
path... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
e31c2c2d80a6-10 | elif isinstance(type_, str):
return {
"str": "string",
"integer": "number",
"float": "number",
"date-time": "string",
}.get(type_, type_)
elif isinstance(type_, tuple):
return f"Array<{APIOperation.ts_type_from_p... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
e31c2c2d80a6-11 | self.request_body.properties
)
params.append(formatted_request_body_props)
for prop in self.properties:
prop_name = prop.name
prop_type = self.ts_type_from_python(prop.type)
prop_required = "" if prop.required else "?"
prop_desc = f"/* {pro... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/openapi/utils/api_models.html |
fbf6bad4eb54-0 | Source code for langchain.tools.google_serper.tool
"""Tool for the Serper.dev Google Search API."""
from typing import Optional
from pydantic.fields import Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from ... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/google_serper/tool.html |
fbf6bad4eb54-1 | )
api_wrapper: GoogleSerperAPIWrapper = Field(default_factory=GoogleSerperAPIWrapper)
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
return str(self.api_wrapper.results(query))
async def _arun(
... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/google_serper/tool.html |
26e51dd8fead-0 | Source code for langchain.tools.jira.tool
"""
This tool allows agents to interact with the atlassian-python-api library
and operate on a Jira instance. For more information on the
atlassian-python-api library, see https://atlassian-python-api.readthedocs.io/jira.html
To use this tool, you must first set as environment ... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/jira/tool.html |
26e51dd8fead-1 | """Use the Atlassian Jira API to run an operation."""
return self.api_wrapper.run(self.mode, instructions)
async def _arun(
self,
_: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
"""Use the Atlassian Jira API to run an operation."""
... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/jira/tool.html |
de657b342993-0 | Source code for langchain.tools.steamship_image_generation.tool
"""This tool allows agents to generate images using Steamship.
Steamship offers access to different third party image generation APIs
using a single API key.
Today the following models are supported:
- Dall-E
- Stable Diffusion
To use this tool, you must f... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/tool.html |
de657b342993-1 | description = (
"Useful for when you need to generate an image."
"Input: A detailed text-2-image prompt describing an image"
"Output: the UUID of a generated image"
)
@root_validator(pre=True)
def validate_size(cls, values: Dict) -> Dict:
if "size" in values:
size... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/tool.html |
de657b342993-2 | )
task = image_generator.generate(text=query, append_output_to_file=True)
task.wait()
blocks = task.output.blocks
if len(blocks) > 0:
if self.return_urls:
return make_image_public(self.steamship, blocks[0])
else:
return blocks[0].id... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/steamship_image_generation/tool.html |
f57967c1689d-0 | Source code for langchain.tools.azure_cognitive_services.text2speech
from __future__ import annotations
import logging
import tempfile
from typing import Any, Dict, Optional
from pydantic import root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html |
f57967c1689d-1 | )
try:
import azure.cognitiveservices.speech as speechsdk
values["speech_config"] = speechsdk.SpeechConfig(
subscription=azure_cogs_key, region=azure_cogs_region
)
except ImportError:
raise ImportError(
"azure-cognitiveservi... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html |
f57967c1689d-2 | def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the tool."""
try:
speech_file = self._text2speech(query, self.speech_language)
return speech_file
except Exception as e:
raise Run... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/text2speech.html |
bbeaccf78c48-0 | Source code for langchain.tools.azure_cognitive_services.form_recognizer
from __future__ import annotations
import logging
from typing import Any, Dict, List, Optional
from pydantic import root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from ... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html |
bbeaccf78c48-1 | )
azure_cogs_endpoint = get_from_dict_or_env(
values, "azure_cogs_endpoint", "AZURE_COGS_ENDPOINT"
)
try:
from azure.ai.formrecognizer import DocumentAnalysisClient
from azure.core.credentials import AzureKeyCredential
values["doc_analysis_client"]... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html |
bbeaccf78c48-2 | "prebuilt-document", document
)
elif document_src_type == "remote":
poller = self.doc_analysis_client.begin_analyze_document_from_url(
"prebuilt-document", document_path
)
else:
raise ValueError(f"Invalid document path: {document_path}"... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html |
bbeaccf78c48-3 | ) -> str:
"""Use the tool."""
try:
document_analysis_result = self._document_analysis(query)
if not document_analysis_result:
return "No good document analysis result was found"
return self._format_document_analysis_result(document_analysis_result)
... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/form_recognizer.html |
be5aef6582e1-0 | Source code for langchain.tools.azure_cognitive_services.image_analysis
from __future__ import annotations
import logging
from typing import Any, Dict, Optional
from pydantic import root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langcha... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
be5aef6582e1-1 | )
try:
import azure.ai.vision as sdk
values["vision_service"] = sdk.VisionServiceOptions(
endpoint=azure_cogs_endpoint, key=azure_cogs_key
)
values["analysis_options"] = sdk.ImageAnalysisOptions()
values["analysis_options"].features = (... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
be5aef6582e1-2 | res_dict["tags"] = [tag.name for tag in result.tags]
if result.text is not None:
res_dict["text"] = [line.content for line in result.text.lines]
else:
error_details = sdk.ImageAnalysisErrorDetails.from_result(result)
raise RuntimeError(
f"Image... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
be5aef6582e1-3 | if not image_analysis_result:
return "No good image analysis result was found"
return self._format_image_analysis_result(image_analysis_result)
except Exception as e:
raise RuntimeError(f"Error while running AzureCogsImageAnalysisTool: {e}")
async def _arun(
s... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/image_analysis.html |
7a5eb0607494-0 | Source code for langchain.tools.azure_cognitive_services.speech2text
from __future__ import annotations
import logging
import time
from typing import Any, Dict, Optional
from pydantic import root_validator
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
fro... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/speech2text.html |
7a5eb0607494-1 | )
azure_cogs_region = get_from_dict_or_env(
values, "azure_cogs_region", "AZURE_COGS_REGION"
)
try:
import azure.cognitiveservices.speech as speechsdk
values["speech_config"] = speechsdk.SpeechConfig(
subscription=azure_cogs_key, region=azure_c... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/speech2text.html |
7a5eb0607494-2 | except ImportError:
pass
audio_src_type = detect_file_src_type(audio_path)
if audio_src_type == "local":
audio_config = speechsdk.AudioConfig(filename=audio_path)
elif audio_src_type == "remote":
tmp_audio_path = download_audio_from_url(audio_path)
... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/azure_cognitive_services/speech2text.html |
8e4366ac490c-0 | Source code for langchain.tools.sql_database.tool
# flake8: noqa
"""Tools for interacting with a SQL database."""
from typing import Any, Dict, Optional
from pydantic import BaseModel, Extra, Field, root_validator
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.manager import (
AsyncC... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html |
8e4366ac490c-1 | return self.db.run_no_throw(query)
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
raise NotImplementedError("QuerySqlDbTool does not support async")
[docs]class InfoSQLDatabaseTool(BaseSQLDatabaseTool, BaseTool):
"""... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html |
8e4366ac490c-2 | return ", ".join(self.db.get_usable_table_names())
async def _arun(
self,
tool_input: str = "",
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
raise NotImplementedError("ListTablesSqlDbTool does not support async")
[docs]class QuerySQLCheckerTool(BaseSQLD... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html |
8e4366ac490c-3 | run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the LLM to check the query."""
return self.llm_chain.predict(query=query, dialect=self.db.dialect)
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/sql_database/tool.html |
ec3c38294bf7-0 | Source code for langchain.tools.human.tool
"""Tool for asking human input."""
from typing import Callable, Optional
from pydantic import Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
def _print_func(text: st... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/human/tool.html |
91d2d98ac7c1-0 | Source code for langchain.tools.spark_sql.tool
# flake8: noqa
"""Tools for interacting with Spark SQL."""
from typing import Any, Dict, Optional
from pydantic import BaseModel, Extra, Field, root_validator
from langchain.base_language import BaseLanguageModel
from langchain.callbacks.manager import (
AsyncCallbackM... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
91d2d98ac7c1-1 | return self.db.run_no_throw(query)
async def _arun(
self,
query: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
raise NotImplementedError("QuerySqlDbTool does not support async")
[docs]class InfoSparkSQLTool(BaseSparkSQLTool, BaseTool):
"""Tool f... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
91d2d98ac7c1-2 | ) -> str:
"""Get the schema for a specific table."""
return ", ".join(self.db.get_usable_table_names())
async def _arun(
self,
tool_input: str = "",
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
raise NotImplementedError("ListTablesSqlDbT... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
91d2d98ac7c1-3 | return values
def _run(
self,
query: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> str:
"""Use the LLM to check the query."""
return self.llm_chain.predict(query=query)
async def _arun(
self,
query: str,
run_manager: Option... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/spark_sql/tool.html |
b89d05273357-0 | Source code for langchain.tools.interaction.tool
"""Tools for interacting with the user."""
import warnings
from typing import Any
from langchain.tools.human.tool import HumanInputRun
[docs]def StdInInquireTool(*args: Any, **kwargs: Any) -> HumanInputRun:
"""Tool for asking the user for input."""
warnings.warn(... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/interaction/tool.html |
c4df72b61bb3-0 | Source code for langchain.tools.wikipedia.tool
"""Tool for the Wikipedia API."""
from typing import Optional
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.utilities.wikipedia import WikipediaAPIWrap... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/wikipedia/tool.html |
ff72ec4c2c4d-0 | Source code for langchain.tools.zapier.tool
"""## Zapier Natural Language Actions API
\
Full docs here: https://nla.zapier.com/api/v1/docs
**Zapier Natural Language Actions** gives you access to the 5k+ apps, 20k+ actions
on Zapier's platform through a natural language API interface.
NLA supports apps like Gmail, Sales... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
ff72ec4c2c4d-1 | 2. Use LLMChain to generate a draft reply to (1)
3. Use NLA to send the draft reply (2) to someone in Slack via direct message
In code, below:
```python
import os
# get from https://platform.openai.com/
os.environ["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", "")
# get from https://nla.zapier.com/demo/provid... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
ff72ec4c2c4d-2 | agent = initialize_agent(
toolkit.get_tools(),
llm,
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
verbose=True
)
agent.run(("Summarize the last email I received regarding Silicon Valley Bank. "
"Send the summary to the #test-zapier channel in slack."))
```
"""
from typing import Any, Dict, Optional
f... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
ff72ec4c2c4d-3 | name = ""
description = ""
@root_validator
def set_name_description(cls, values: Dict[str, Any]) -> Dict[str, Any]:
zapier_description = values["zapier_description"]
params_schema = values["params_schema"]
if "instructions" in params_schema:
del params_schema["instruction... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
ff72ec4c2c4d-4 | )
# other useful actions
[docs]class ZapierNLAListActions(BaseTool):
"""
Args:
None
"""
name = "ZapierNLA_list_actions"
description = BASE_ZAPIER_TOOL_PROMPT + (
"This tool returns a list of the user's exposed actions."
)
api_wrapper: ZapierNLAWrapper = Field(default_factory=... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/zapier/tool.html |
d0966f8c858b-0 | Source code for langchain.tools.file_management.read
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_management.utils... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/read.html |
def3d8f551b1-0 | Source code for langchain.tools.file_management.move
import shutil
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_ma... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/move.html |
def3d8f551b1-1 | shutil.move(str(source_path_), destination_path_)
return f"File moved successfully from {source_path} to {destination_path}."
except Exception as e:
return "Error: " + str(e)
async def _arun(
self,
source_path: str,
destination_path: str,
run_manager: ... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/move.html |
64b9f9eac3a1-0 | Source code for langchain.tools.file_management.file_search
import fnmatch
import os
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langc... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/file_search.html |
64b9f9eac3a1-1 | matches.append(relative_path)
if matches:
return "\n".join(matches)
else:
return f"No files found for pattern {pattern} in directory {dir_path}"
except Exception as e:
return "Error: " + str(e)
async def _arun(
self,
dir_pat... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/file_search.html |
e914c818212f-0 | Source code for langchain.tools.file_management.copy
import shutil
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_ma... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/copy.html |
e914c818212f-1 | except Exception as e:
return "Error: " + str(e)
async def _arun(
self,
source_path: str,
destination_path: str,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
# TODO: Add aiofiles method
raise NotImplementedError | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/copy.html |
7b654827d10e-0 | Source code for langchain.tools.file_management.write
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_management.util... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/write.html |
7b654827d10e-1 | except Exception as e:
return "Error: " + str(e)
async def _arun(
self,
file_path: str,
text: str,
append: bool = False,
run_manager: Optional[AsyncCallbackManagerForToolRun] = None,
) -> str:
# TODO: Add aiofiles method
raise NotImplementedErr... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/write.html |
6d663d21f09b-0 | Source code for langchain.tools.file_management.delete
import os
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_mana... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/delete.html |
5ee1497cb5c6-0 | Source code for langchain.tools.file_management.list_dir
import os
from typing import Optional, Type
from pydantic import BaseModel, Field
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.tools.file_ma... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/file_management/list_dir.html |
e569558fef91-0 | Source code for langchain.tools.graphql.tool
import json
from typing import Optional
from langchain.callbacks.manager import (
AsyncCallbackManagerForToolRun,
CallbackManagerForToolRun,
)
from langchain.tools.base import BaseTool
from langchain.utilities.graphql import GraphQLAPIWrapper
[docs]class BaseGraphQLT... | https://api.python.langchain.com/en/latest/_modules/langchain/tools/graphql/tool.html |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.