llama-stack-mirror/llama_stack/apis/tools/tools.py
Dinesh Yeduguru e65a6fac9d init
2024-12-17 16:09:15 -08:00

86 lines
2.2 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import Any, Dict, List, Literal, Optional
from llama_models.llama3.api.datatypes import ToolPromptFormat
from llama_models.schema_utils import json_schema_type
from pydantic import BaseModel, Field
from typing_extensions import Protocol, runtime_checkable
from llama_stack.apis.resource import Resource
from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol
@json_schema_type
class ToolParameter(BaseModel):
"""Represents a parameter in a tool's function signature"""
name: str
type_hint: str
description: str
required: bool = True
default: Optional[Any] = None
@json_schema_type
class ToolReturn(BaseModel):
"""Represents the return type and description of a tool"""
type_hint: str
description: str
@json_schema_type
class Tool(Resource):
"""Represents a tool that can be provided by different providers"""
resource_type: Literal["tool"] = "tool"
name: str
description: str
parameters: List[ToolParameter]
returns: ToolReturn
provider_metadata: Optional[Dict[str, Any]] = None
tool_prompt_format: Optional[ToolPromptFormat] = Field(
default=ToolPromptFormat.json
)
@runtime_checkable
@trace_protocol
class Tools(Protocol):
async def register_tool(
self,
tool_id: str,
name: str,
description: str,
parameters: List[ToolParameter],
returns: ToolReturn,
provider_metadata: Optional[Dict[str, Any]] = None,
tool_prompt_format: Optional[ToolPromptFormat] = None,
) -> Tool:
"""Register a tool with provider-specific metadata"""
...
async def get_tool(
self,
identifier: str,
) -> Tool: ...
async def list_tools(
self,
provider_id: Optional[str] = None,
) -> List[Tool]:
"""List tools with optional provider"""
@runtime_checkable
@trace_protocol
class ToolRuntime(Protocol):
def invoke_tool(self, tool_id: str, args: Dict[str, Any]) -> Any:
"""Run a tool with the given arguments"""
...