camel.types.agents package

camel.types.agents package#

Submodules#

camel.types.agents.tool_calling_record module#

class camel.types.agents.tool_calling_record.ToolCallingRecord(*, tool_name: str, args: Dict[str, Any], result: Any, tool_call_id: str)[source]#

Bases: BaseModel

Historical records of tools called in the conversation.

func_name#

The name of the tool being called.

Type:: str

args#

The dictionary of arguments passed to the tool.

Type:: Dict[str, Any]

result#

The execution result of calling this tool.

Type:: Any

tool_call_id#

The ID of the tool call, if available.

Type:: str

args: Dict[str, Any]#

as_dict() → dict[str, Any][source]#

Returns the tool calling record as a dictionary.

Returns:: The tool calling record as a dictionary.
Return type:: dict[str, Any]

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}#: A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}#: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_fields: ClassVar[Dict[str, FieldInfo]] = {'args': FieldInfo(annotation=Dict[str, Any], required=True), 'result': FieldInfo(annotation=Any, required=True), 'tool_call_id': FieldInfo(annotation=str, required=True), 'tool_name': FieldInfo(annotation=str, required=True)}#

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

This replaces Model.__fields__ from Pydantic V1.

result: Any#

tool_call_id: str#

tool_name: str#

Module contents#

class camel.types.agents.ToolCallingRecord(*, tool_name: str, args: Dict[str, Any], result: Any, tool_call_id: str)[source]#