llama-stack/llama_stack/apis/tools/tools.py
Dinesh Yeduguru a5c57cd381
agents to use tools api (#673)
# What does this PR do?

PR #639 introduced the notion of Tools API and ability to invoke tools
through API just as any resource. This PR changes the Agents to start
using the Tools API to invoke tools. Major changes include:
1) Ability to specify tool groups with AgentConfig
2) Agent gets the corresponding tool definitions for the specified tools
and pass along to the model
3) Attachements are now named as Documents and their behavior is mostly
unchanged from user perspective
4) You can specify args that can be injected to a tool call through
Agent config. This is especially useful in case of memory tool, where
you want the tool to operate on a specific memory bank.
5) You can also register tool groups with args, which lets the agent
inject these as well into the tool call.
6) All tests have been migrated to use new tools API and fixtures
including client SDK tests
7) Telemetry just works with tools API because of our trace protocol
decorator


## Test Plan
```
pytest -s -v -k fireworks llama_stack/providers/tests/agents/test_agents.py  \
   --safety-shield=meta-llama/Llama-Guard-3-8B \
   --inference-model=meta-llama/Llama-3.1-8B-Instruct

pytest -s -v -k together  llama_stack/providers/tests/tools/test_tools.py \
   --safety-shield=meta-llama/Llama-Guard-3-8B \
   --inference-model=meta-llama/Llama-3.1-8B-Instruct

LLAMA_STACK_CONFIG="/Users/dineshyv/.llama/distributions/llamastack-together/together-run.yaml" pytest -v tests/client-sdk/agents/test_agents.py
```
run.yaml:
https://gist.github.com/dineshyv/0365845ad325e1c2cab755788ccc5994

Notebook:
https://colab.research.google.com/drive/1ck7hXQxRl6UvT-ijNRZ-gMZxH1G3cN2d?usp=sharing
2025-01-08 19:01:00 -08:00

142 lines
4.1 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 enum import Enum
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, webmethod
from pydantic import BaseModel, Field
from typing_extensions import Protocol, runtime_checkable
from llama_stack.apis.common.content_types import InterleavedContent, URL
from llama_stack.apis.resource import Resource, ResourceType
from llama_stack.providers.utils.telemetry.trace_protocol import trace_protocol
@json_schema_type
class ToolParameter(BaseModel):
name: str
parameter_type: str
description: str
required: bool = Field(default=True)
default: Optional[Any] = None
@json_schema_type
class ToolHost(Enum):
distribution = "distribution"
client = "client"
model_context_protocol = "model_context_protocol"
@json_schema_type
class Tool(Resource):
type: Literal[ResourceType.tool.value] = ResourceType.tool.value
toolgroup_id: str
tool_host: ToolHost
description: str
parameters: List[ToolParameter]
metadata: Optional[Dict[str, Any]] = None
tool_prompt_format: Optional[ToolPromptFormat] = Field(
default=ToolPromptFormat.json
)
@json_schema_type
class ToolDef(BaseModel):
name: str
description: Optional[str] = None
parameters: Optional[List[ToolParameter]] = None
metadata: Optional[Dict[str, Any]] = None
tool_prompt_format: Optional[ToolPromptFormat] = Field(
default=ToolPromptFormat.json
)
@json_schema_type
class ToolGroupInput(BaseModel):
toolgroup_id: str
provider_id: str
args: Optional[Dict[str, Any]] = None
mcp_endpoint: Optional[URL] = None
@json_schema_type
class ToolGroup(Resource):
type: Literal[ResourceType.tool_group.value] = ResourceType.tool_group.value
mcp_endpoint: Optional[URL] = None
args: Optional[Dict[str, Any]] = None
@json_schema_type
class ToolInvocationResult(BaseModel):
content: InterleavedContent
error_message: Optional[str] = None
error_code: Optional[int] = None
class ToolStore(Protocol):
def get_tool(self, tool_name: str) -> Tool: ...
def get_tool_group(self, tool_group_id: str) -> ToolGroup: ...
@runtime_checkable
@trace_protocol
class ToolGroups(Protocol):
@webmethod(route="/toolgroups/register", method="POST")
async def register_tool_group(
self,
toolgroup_id: str,
provider_id: str,
mcp_endpoint: Optional[URL] = None,
args: Optional[Dict[str, Any]] = None,
) -> None:
"""Register a tool group"""
...
@webmethod(route="/toolgroups/get", method="GET")
async def get_tool_group(
self,
toolgroup_id: str,
) -> ToolGroup: ...
@webmethod(route="/toolgroups/list", method="GET")
async def list_tool_groups(self) -> List[ToolGroup]:
"""List tool groups with optional provider"""
...
@webmethod(route="/tools/list", method="GET")
async def list_tools(self, tool_group_id: Optional[str] = None) -> List[Tool]:
"""List tools with optional tool group"""
...
@webmethod(route="/tools/get", method="GET")
async def get_tool(self, tool_name: str) -> Tool: ...
@webmethod(route="/toolgroups/unregister", method="POST")
async def unregister_tool_group(self, tool_group_id: str) -> None:
"""Unregister a tool group"""
...
@runtime_checkable
@trace_protocol
class ToolRuntime(Protocol):
tool_store: ToolStore
# TODO: This needs to be renamed once OPEN API generator name conflict issue is fixed.
@webmethod(route="/tool-runtime/list-tools", method="GET")
async def list_runtime_tools(
self, tool_group_id: Optional[str] = None, mcp_endpoint: Optional[URL] = None
) -> List[ToolDef]: ...
@webmethod(route="/tool-runtime/invoke", method="POST")
async def invoke_tool(
self, tool_name: str, args: Dict[str, Any]
) -> ToolInvocationResult:
"""Run a tool with the given arguments"""
...