langchain_community: Added Missing Schema for Community Tools

libs/community/langchain_community/tools/bing_search/tool.py

@@ -1,13 +1,18 @@
 """Tool for the Bing search API."""
 
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import BaseTool
 
 from langchain_community.utilities.bing_search import BingSearchAPIWrapper
 
 
+class BingSearchInput(BaseModel):
+    query: str = Field(description="should be a search query")
+
+
 class BingSearchRun(BaseTool):
     """Tool that queries the Bing search API."""
 
@@ -18,6 +23,7 @@ class BingSearchRun(BaseTool):
         "Input should be a search query."
     )
     api_wrapper: BingSearchAPIWrapper
+    args_schema: Type[BingSearchInput] = BingSearchInput
 
     def _run(
         self,
@@ -39,6 +45,7 @@ class BingSearchResults(BaseTool):
     )
     num_results: int = 4
     api_wrapper: BingSearchAPIWrapper
+    args_schema: Type[BaseModel] = BingSearchInput
 
     def _run(
         self,

libs/community/langchain_community/tools/brave_search/tool.py

@@ -1,23 +1,29 @@
 from __future__ import annotations
 
-from typing import Any, Optional
+from typing import Any, Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import BaseTool
 
 from langchain_community.utilities.brave_search import BraveSearchWrapper
 
 
+class BraveSearchInput(BaseModel):
+    query: str = Field(description="should be a search query")
+
+
 class BraveSearch(BaseTool):
     """Tool that queries the BraveSearch."""
 
     name: str = "brave_search"
     description: str = (
-        "a search engine. "
+        "a search engine."
         "useful for when you need to answer questions about current events."
-        " input should be a search query."
+        "input should be a search query."
     )
     search_wrapper: BraveSearchWrapper
+    args_schema: Type[BraveSearchInput] = BraveSearchInput
 
     @classmethod
     def from_api_key(

libs/community/langchain_community/tools/clickup/tool.py

@@ -16,22 +16,27 @@
 toolkit = ClickupToolkit.from_clickup_api_wrapper(clickup)
 ```
 """
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
-from langchain_core.pydantic_v1 import Field
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import BaseTool
 
 from langchain_community.utilities.clickup import ClickupAPIWrapper
 
 
+class ClickupActionInput(BaseModel):
+    instructions: str = Field(description="Instructions for the Click Up Action")
+
+
 class ClickupAction(BaseTool):
-    """Tool that queries the  Clickup API."""
+    """Tool that queries the Clickup API."""
 
     api_wrapper: ClickupAPIWrapper = Field(default_factory=ClickupAPIWrapper)
     mode: str
-    name: str = ""
-    description: str = ""
+    name: str = "clickup_action"
+    description: str = "Tool to execute action on ClickUp"
+    args_schema: Type[ClickupActionInput] = ClickupActionInput
 
     def _run(
         self,

libs/community/langchain_community/tools/dataforseo_api_search/tool.py

@@ -1,17 +1,21 @@
 """Tool for the DataForSeo SERP API."""
 
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import (
     AsyncCallbackManagerForToolRun,
     CallbackManagerForToolRun,
 )
-from langchain_core.pydantic_v1 import Field
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import BaseTool
 
 from langchain_community.utilities.dataforseo_api_search import DataForSeoAPIWrapper
 
 
+class DataForSeoAPISearchInput(BaseModel):
+    query: str = Field(description="should be a search query")
+
+
 class DataForSeoAPISearchRun(BaseTool):
     """Tool that queries the DataForSeo Google search API."""
 
@@ -22,6 +26,7 @@ class DataForSeoAPISearchRun(BaseTool):
         "or current events."
     )
     api_wrapper: DataForSeoAPIWrapper
+    args_schema: Type[DataForSeoAPISearchInput] = DataForSeoAPISearchInput
 
     def _run(
         self,
@@ -53,6 +58,7 @@ class DataForSeoAPISearchResults(BaseTool):
         "of the query results."
     )
     api_wrapper: DataForSeoAPIWrapper = Field(default_factory=DataForSeoAPIWrapper)
+    args_schema: Type[BaseModel] = DataForSeoAPISearchInput
 
     def _run(
         self,

libs/community/langchain_community/tools/ddg_search/tool.py

@@ -28,7 +28,7 @@ class DuckDuckGoSearchRun(BaseTool):
     api_wrapper: DuckDuckGoSearchAPIWrapper = Field(
         default_factory=DuckDuckGoSearchAPIWrapper
     )
-    args_schema: Type[BaseModel] = DDGInput
+    args_schema: Type[DDGInput] = DDGInput
 
     def _run(
         self,

libs/community/langchain_community/tools/e2b_data_analysis/tool.py

@@ -97,7 +97,7 @@ class E2BDataAnalysisTool(BaseTool):
     """Tool for running python code in a sandboxed environment for data analysis."""
 
     name = "e2b_data_analysis"
-    args_schema: Type[BaseModel] = E2BDataAnalysisToolArguments
+    args_schema: Type[E2BDataAnalysisToolArguments] = E2BDataAnalysisToolArguments
     session: Any
     description: str
     _uploaded_files: List[UploadedFile] = PrivateAttr(default_factory=list)

libs/community/langchain_community/tools/edenai/edenai_base_tool.py

@@ -2,14 +2,19 @@
 
 import logging
 from abc import abstractmethod
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Optional, Type
 
 import requests
 from langchain_core.callbacks import CallbackManagerForToolRun
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
 from langchain_core.tools import BaseTool
 from langchain_core.utils import get_from_dict_or_env
 
+
+class EdenAiInput(BaseModel):
+    query: str = Field(description="should be a search query")
+
+
 logger = logging.getLogger(__name__)
 
 
@@ -29,6 +34,7 @@ class EdenaiTool(BaseTool):
 
     providers: List[str]
     """provider to use for the API call."""
+    args_schema: Type[EdenAiInput] = EdenAiInput
 
     @root_validator(allow_reuse=True)
     def validate_environment(cls, values: Dict) -> Dict:

libs/community/langchain_community/tools/eleven_labs/text2speech.py

@@ -1,9 +1,9 @@
 import tempfile
 from enum import Enum
-from typing import Any, Dict, Optional, Union
+from typing import Any, Dict, Optional, Type, Union
 
 from langchain_core.callbacks import CallbackManagerForToolRun
-from langchain_core.pydantic_v1 import root_validator
+from langchain_core.pydantic_v1 import BaseModel, Field, root_validator
 from langchain_core.tools import BaseTool
 from langchain_core.utils import get_from_dict_or_env
 
@@ -18,6 +18,10 @@ def _import_elevenlabs() -> Any:
     return elevenlabs
 
 
+class ElevenLabsText2SpeechToolInput(BaseModel):
+    query: str = Field(description="Text that needs to be converted to speech")
+
+
 class ElevenLabsModel(str, Enum):
     """Models available for Eleven Labs Text2Speech."""
 
@@ -41,6 +45,7 @@ class ElevenLabsText2SpeechTool(BaseTool):
         "It supports multiple languages, including English, German, Polish, "
         "Spanish, Italian, French, Portuguese, and Hindi. "
     )
+    args_schema: Type[ElevenLabsText2SpeechToolInput] = ElevenLabsText2SpeechToolInput
 
     @root_validator(pre=True)
     def validate_environment(cls, values: Dict) -> Dict:

libs/community/langchain_community/tools/file_management/copy.py

@@ -23,7 +23,7 @@ class CopyFileTool(BaseFileToolMixin, BaseTool):
     """Tool that copies a file."""
 
     name: str = "copy_file"
-    args_schema: Type[BaseModel] = FileCopyInput
+    args_schema: Type[FileCopyInput] = FileCopyInput
     description: str = "Create a copy of a file in a specified location"
 
     def _run(

libs/community/langchain_community/tools/file_management/delete.py

@@ -22,7 +22,7 @@ class DeleteFileTool(BaseFileToolMixin, BaseTool):
     """Tool that deletes a file."""
 
     name: str = "file_delete"
-    args_schema: Type[BaseModel] = FileDeleteInput
+    args_schema: Type[FileDeleteInput] = FileDeleteInput
     description: str = "Delete a file"
 
     def _run(

libs/community/langchain_community/tools/file_management/file_search.py

@@ -30,7 +30,7 @@ class FileSearchTool(BaseFileToolMixin, BaseTool):
     """Tool that searches for files in a subdirectory that match a regex pattern."""
 
     name: str = "file_search"
-    args_schema: Type[BaseModel] = FileSearchInput
+    args_schema: Type[FileSearchInput] = FileSearchInput
     description: str = (
         "Recursively search for files in a subdirectory that match the regex pattern"
     )

libs/community/langchain_community/tools/file_management/list_dir.py

@@ -22,7 +22,7 @@ class ListDirectoryTool(BaseFileToolMixin, BaseTool):
     """Tool that lists files and directories in a specified folder."""
 
     name: str = "list_directory"
-    args_schema: Type[BaseModel] = DirectoryListingInput
+    args_schema: Type[DirectoryListingInput] = DirectoryListingInput
     description: str = "List files and directories in a specified folder"
 
     def _run(

libs/community/langchain_community/tools/file_management/move.py

@@ -23,7 +23,7 @@ class MoveFileTool(BaseFileToolMixin, BaseTool):
     """Tool that moves a file."""
 
     name: str = "move_file"
-    args_schema: Type[BaseModel] = FileMoveInput
+    args_schema: Type[FileMoveInput] = FileMoveInput
     description: str = "Move or rename a file from one location to another"
 
     def _run(

libs/community/langchain_community/tools/file_management/read.py

@@ -21,7 +21,7 @@ class ReadFileTool(BaseFileToolMixin, BaseTool):
     """Tool that reads a file."""
 
     name: str = "read_file"
-    args_schema: Type[BaseModel] = ReadFileInput
+    args_schema: Type[ReadFileInput] = ReadFileInput
     description: str = "Read file from disk"
 
     def _run(

libs/community/langchain_community/tools/file_management/write.py

@@ -25,7 +25,7 @@ class WriteFileTool(BaseFileToolMixin, BaseTool):
     """Tool that writes a file to disk."""
 
     name: str = "write_file"
-    args_schema: Type[BaseModel] = WriteFileInput
+    args_schema: Type[WriteFileInput] = WriteFileInput
     description: str = "Write file to disk"
 
     def _run(

libs/community/langchain_community/tools/github/tool.py

@@ -16,14 +16,20 @@
 from langchain_community.utilities.github import GitHubAPIWrapper
 
 
+class GitHubActionToolInput(BaseModel):
+    instructions: str = Field(
+        description="Instruction associated with a action on GitHub"
+    )
+
+
 class GitHubAction(BaseTool):
     """Tool for interacting with the GitHub API."""
 
     api_wrapper: GitHubAPIWrapper = Field(default_factory=GitHubAPIWrapper)
     mode: str
     name: str = ""
     description: str = ""
-    args_schema: Optional[Type[BaseModel]] = None
+    args_schema: Type[GitHubActionToolInput] = GitHubActionToolInput
 
     def _run(
         self,

libs/community/langchain_community/tools/gitlab/tool.py

@@ -7,22 +7,29 @@
     GITLAB_REPOSITORY -> format: {owner}/{repo}
 
 """
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
-from langchain_core.pydantic_v1 import Field
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import BaseTool
 
 from langchain_community.utilities.gitlab import GitLabAPIWrapper
 
 
+class GitLabActionToolInput(BaseModel):
+    instructions: str = Field(
+        description="Instruction associated with a action on GitLab"
+    )
+
+
 class GitLabAction(BaseTool):
     """Tool for interacting with the GitLab API."""
 
     api_wrapper: GitLabAPIWrapper = Field(default_factory=GitLabAPIWrapper)
     mode: str
     name: str = ""
     description: str = ""
+    args_schema: Type[GitLabActionToolInput] = GitLabActionToolInput
 
     def _run(
         self,

libs/community/langchain_community/tools/golden_query/tool.py

@@ -1,13 +1,18 @@
 """Tool for the Golden API."""
 
-from typing import Optional
+from typing import Optional, Type
 
 from langchain_core.callbacks import CallbackManagerForToolRun
+from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain_core.tools import BaseTool
 
 from langchain_community.utilities.golden_query import GoldenQueryAPIWrapper
 
 
+class GoldenQueryRunToolInput(BaseModel):
+    query: str = Field(description="search query to look up")
+
+
 class GoldenQueryRun(BaseTool):
     """Tool that adds the capability to query using the Golden API and get back JSON."""
 
@@ -24,6 +29,7 @@ class GoldenQueryRun(BaseTool):
         " in JSON format."
     )
     api_wrapper: GoldenQueryAPIWrapper
+    args_schema: Type[GoldenQueryRunToolInput] = GoldenQueryRunToolInput
 
     def _run(
         self,