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
This commit is contained in:
Dinesh Yeduguru 2025-01-08 19:01:00 -08:00 committed by GitHub
parent 596afc6497
commit a5c57cd381
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116 changed files with 4959 additions and 2778 deletions

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# 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 pydantic import BaseModel
from .brave_search import BraveSearchToolRuntimeImpl
from .config import BraveSearchToolConfig
class BraveSearchToolProviderDataValidator(BaseModel):
api_key: str
async def get_adapter_impl(config: BraveSearchToolConfig, _deps):
impl = BraveSearchToolRuntimeImpl(config)
await impl.initialize()
return impl

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# 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, Optional
import requests
from llama_models.llama3.api.datatypes import BuiltinTool
from llama_stack.apis.common.content_types import URL
from llama_stack.apis.tools import (
Tool,
ToolDef,
ToolInvocationResult,
ToolParameter,
ToolRuntime,
)
from llama_stack.distribution.request_headers import NeedsRequestProviderData
from llama_stack.providers.datatypes import ToolsProtocolPrivate
from .config import BraveSearchToolConfig
class BraveSearchToolRuntimeImpl(
ToolsProtocolPrivate, ToolRuntime, NeedsRequestProviderData
):
def __init__(self, config: BraveSearchToolConfig):
self.config = config
async def initialize(self):
pass
async def register_tool(self, tool: Tool):
pass
async def unregister_tool(self, tool_id: str) -> None:
return
def _get_api_key(self) -> str:
if self.config.api_key:
return self.config.api_key
provider_data = self.get_request_provider_data()
if provider_data is None or not provider_data.api_key:
raise ValueError(
'Pass Search provider\'s API Key in the header X-LlamaStack-ProviderData as { "api_key": <your api key>}'
)
return provider_data.api_key
async def list_runtime_tools(
self, tool_group_id: Optional[str] = None, mcp_endpoint: Optional[URL] = None
) -> List[ToolDef]:
return [
ToolDef(
name="web_search",
description="Search the web for information",
parameters=[
ToolParameter(
name="query",
description="The query to search for",
parameter_type="string",
)
],
built_in_type=BuiltinTool.brave_search,
)
]
async def invoke_tool(
self, tool_name: str, args: Dict[str, Any]
) -> ToolInvocationResult:
api_key = self._get_api_key()
url = "https://api.search.brave.com/res/v1/web/search"
headers = {
"X-Subscription-Token": api_key,
"Accept-Encoding": "gzip",
"Accept": "application/json",
}
payload = {"q": args["query"]}
response = requests.get(url=url, params=payload, headers=headers)
response.raise_for_status()
results = self._clean_brave_response(response.json())
content_items = "\n".join([str(result) for result in results])
return ToolInvocationResult(
content=content_items,
)
def _clean_brave_response(self, search_response):
clean_response = []
if "mixed" in search_response:
mixed_results = search_response["mixed"]
for m in mixed_results["main"][: self.config.max_results]:
r_type = m["type"]
results = search_response[r_type]["results"]
cleaned = self._clean_result_by_type(r_type, results, m.get("index"))
clean_response.append(cleaned)
return clean_response
def _clean_result_by_type(self, r_type, results, idx=None):
type_cleaners = {
"web": (
["type", "title", "url", "description", "date", "extra_snippets"],
lambda x: x[idx],
),
"faq": (["type", "question", "answer", "title", "url"], lambda x: x),
"infobox": (
["type", "title", "url", "description", "long_desc"],
lambda x: x[idx],
),
"videos": (["type", "url", "title", "description", "date"], lambda x: x),
"locations": (
[
"type",
"title",
"url",
"description",
"coordinates",
"postal_address",
"contact",
"rating",
"distance",
"zoom_level",
],
lambda x: x,
),
"news": (["type", "title", "url", "description"], lambda x: x),
}
if r_type not in type_cleaners:
return ""
selected_keys, result_selector = type_cleaners[r_type]
results = result_selector(results)
if isinstance(results, list):
cleaned = [
{k: v for k, v in item.items() if k in selected_keys}
for item in results
]
else:
cleaned = {k: v for k, v in results.items() if k in selected_keys}
return str(cleaned)

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# 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, Optional
from pydantic import BaseModel, Field
class BraveSearchToolConfig(BaseModel):
api_key: Optional[str] = Field(
default=None,
description="The Brave Search API Key",
)
max_results: int = Field(
default=3,
description="The maximum number of results to return",
)
@classmethod
def sample_run_config(cls, __distro_dir__: str) -> Dict[str, Any]:
return {
"api_key": "${env.BRAVE_SEARCH_API_KEY:}",
"max_results": 3,
}