forked from phoenix-oss/llama-stack-mirror
Create a new agent: ``` curl --request POST \ --url http://localhost:8321/v1/agents \ --header 'Accept: application/json' \ --header 'Content-Type: application/json' \ --data '{ "agent_config": { "sampling_params": { "strategy": { "type": "greedy" }, "max_tokens": 0, "repetition_penalty": 1 }, "input_shields": [ "string" ], "output_shields": [ "string" ], "toolgroups": [ "string" ], "client_tools": [ { "name": "string", "description": "string", "parameters": [ { "name": "string", "parameter_type": "string", "description": "string", "required": true, "default": null } ], "metadata": { "property1": null, "property2": null } } ], "tool_choice": "auto", "tool_prompt_format": "json", "tool_config": { "tool_choice": "auto", "tool_prompt_format": "json", "system_message_behavior": "append" }, "max_infer_iters": 10, "model": "string", "instructions": "string", "enable_session_persistence": false, "response_format": { "type": "json_schema", "json_schema": { "property1": null, "property2": null } } } }' ``` Get agent: ``` curl http://127.0.0.1:8321/v1/agents/9abad4ab-2c77-45f9-9d16-46b79d2bea1f {"agent_id":"9abad4ab-2c77-45f9-9d16-46b79d2bea1f","agent_config":{"sampling_params":{"strategy":{"type":"greedy"},"max_tokens":0,"repetition_penalty":1.0},"input_shields":["string"],"output_shields":["string"],"toolgroups":["string"],"client_tools":[{"name":"string","description":"string","parameters":[{"name":"string","parameter_type":"string","description":"string","required":true,"default":null}],"metadata":{"property1":null,"property2":null}}],"tool_choice":"auto","tool_prompt_format":"json","tool_config":{"tool_choice":"auto","tool_prompt_format":"json","system_message_behavior":"append"},"max_infer_iters":10,"model":"string","instructions":"string","enable_session_persistence":false,"response_format":{"type":"json_schema","json_schema":{"property1":null,"property2":null}}},"created_at":"2025-03-12T16:18:28.369144Z"}% ``` List agents: ``` curl http://127.0.0.1:8321/v1/agents|jq % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 1680 100 1680 0 0 498k 0 --:--:-- --:--:-- --:--:-- 546k { "data": [ { "agent_id": "9abad4ab-2c77-45f9-9d16-46b79d2bea1f", "agent_config": { "sampling_params": { "strategy": { "type": "greedy" }, "max_tokens": 0, "repetition_penalty": 1.0 }, "input_shields": [ "string" ], "output_shields": [ "string" ], "toolgroups": [ "string" ], "client_tools": [ { "name": "string", "description": "string", "parameters": [ { "name": "string", "parameter_type": "string", "description": "string", "required": true, "default": null } ], "metadata": { "property1": null, "property2": null } } ], "tool_choice": "auto", "tool_prompt_format": "json", "tool_config": { "tool_choice": "auto", "tool_prompt_format": "json", "system_message_behavior": "append" }, "max_infer_iters": 10, "model": "string", "instructions": "string", "enable_session_persistence": false, "response_format": { "type": "json_schema", "json_schema": { "property1": null, "property2": null } } }, "created_at": "2025-03-12T16:18:28.369144Z" }, { "agent_id": "a6643aaa-96dd-46db-a405-333dc504b168", "agent_config": { "sampling_params": { "strategy": { "type": "greedy" }, "max_tokens": 0, "repetition_penalty": 1.0 }, "input_shields": [ "string" ], "output_shields": [ "string" ], "toolgroups": [ "string" ], "client_tools": [ { "name": "string", "description": "string", "parameters": [ { "name": "string", "parameter_type": "string", "description": "string", "required": true, "default": null } ], "metadata": { "property1": null, "property2": null } } ], "tool_choice": "auto", "tool_prompt_format": "json", "tool_config": { "tool_choice": "auto", "tool_prompt_format": "json", "system_message_behavior": "append" }, "max_infer_iters": 10, "model": "string", "instructions": "string", "enable_session_persistence": false, "response_format": { "type": "json_schema", "json_schema": { "property1": null, "property2": null } } }, "created_at": "2025-03-12T16:17:12.811273Z" } ] } ``` Create sessions: ``` curl --request POST \ --url http://localhost:8321/v1/agents/{agent_id}/session \ --header 'Accept: application/json' \ --header 'Content-Type: application/json' \ --data '{ "session_name": "string" }' ``` List sessions: ``` curl http://127.0.0.1:8321/v1/agents/9abad4ab-2c77-45f9-9d16-46b79d2bea1f/sessions|jq % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 263 100 263 0 0 90099 0 --:--:-- --:--:-- --:--:-- 128k [ { "session_id": "2b15c4fc-e348-46c1-ae32-f6d424441ac1", "session_name": "string", "turns": [], "started_at": "2025-03-12T17:19:17.784328" }, { "session_id": "9432472d-d483-4b73-b682-7b1d35d64111", "session_name": "string", "turns": [], "started_at": "2025-03-12T17:19:19.885834" } ] ``` Signed-off-by: Sébastien Han <seb@redhat.com>
230 lines
7.7 KiB
Python
230 lines
7.7 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from datetime import datetime
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from unittest.mock import AsyncMock
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import pytest
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import pytest_asyncio
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from llama_stack.apis.agents import (
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Agent,
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AgentConfig,
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AgentCreateResponse,
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)
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from llama_stack.apis.common.responses import PaginatedResponse
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from llama_stack.apis.inference import Inference
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from llama_stack.apis.safety import Safety
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from llama_stack.apis.tools import ToolGroups, ToolRuntime
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from llama_stack.apis.vector_io import VectorIO
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from llama_stack.providers.inline.agents.meta_reference.agents import MetaReferenceAgentsImpl
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from llama_stack.providers.inline.agents.meta_reference.config import MetaReferenceAgentsImplConfig
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from llama_stack.providers.inline.agents.meta_reference.persistence import AgentInfo
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@pytest.fixture
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def mock_apis():
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return {
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"inference_api": AsyncMock(spec=Inference),
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"vector_io_api": AsyncMock(spec=VectorIO),
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"safety_api": AsyncMock(spec=Safety),
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"tool_runtime_api": AsyncMock(spec=ToolRuntime),
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"tool_groups_api": AsyncMock(spec=ToolGroups),
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}
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@pytest.fixture
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def config(tmp_path):
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return MetaReferenceAgentsImplConfig(
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persistence_store={
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"type": "sqlite",
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"db_path": str(tmp_path / "test.db"),
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},
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)
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@pytest_asyncio.fixture
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async def agents_impl(config, mock_apis):
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impl = MetaReferenceAgentsImpl(
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config,
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mock_apis["inference_api"],
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mock_apis["vector_io_api"],
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mock_apis["safety_api"],
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mock_apis["tool_runtime_api"],
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mock_apis["tool_groups_api"],
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)
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await impl.initialize()
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yield impl
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await impl.shutdown()
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@pytest.fixture
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def sample_agent_config():
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return AgentConfig(
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sampling_params={
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"strategy": {"type": "greedy"},
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"max_tokens": 0,
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"repetition_penalty": 1.0,
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},
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input_shields=["string"],
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output_shields=["string"],
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toolgroups=["string"],
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client_tools=[
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{
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"name": "string",
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"description": "string",
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"parameters": [
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{
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"name": "string",
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"parameter_type": "string",
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"description": "string",
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"required": True,
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"default": None,
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}
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],
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"metadata": {
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"property1": None,
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"property2": None,
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},
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}
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],
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tool_choice="auto",
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tool_prompt_format="json",
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tool_config={
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"tool_choice": "auto",
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"tool_prompt_format": "json",
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"system_message_behavior": "append",
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},
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max_infer_iters=10,
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model="string",
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instructions="string",
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enable_session_persistence=False,
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response_format={
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"type": "json_schema",
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"json_schema": {
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"property1": None,
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"property2": None,
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},
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},
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)
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@pytest.mark.asyncio
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async def test_create_agent(agents_impl, sample_agent_config):
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response = await agents_impl.create_agent(sample_agent_config)
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assert isinstance(response, AgentCreateResponse)
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assert response.agent_id is not None
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stored_agent = await agents_impl.persistence_store.get(f"agent:{response.agent_id}")
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assert stored_agent is not None
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agent_info = AgentInfo.model_validate_json(stored_agent)
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assert agent_info.model == sample_agent_config.model
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assert agent_info.created_at is not None
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assert isinstance(agent_info.created_at, datetime)
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@pytest.mark.asyncio
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async def test_get_agent(agents_impl, sample_agent_config):
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create_response = await agents_impl.create_agent(sample_agent_config)
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agent_id = create_response.agent_id
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agent = await agents_impl.get_agent(agent_id)
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assert isinstance(agent, Agent)
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assert agent.agent_id == agent_id
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assert agent.agent_config.model == sample_agent_config.model
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assert agent.created_at is not None
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assert isinstance(agent.created_at, datetime)
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@pytest.mark.asyncio
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async def test_list_agents(agents_impl, sample_agent_config):
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agent1_response = await agents_impl.create_agent(sample_agent_config)
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agent2_response = await agents_impl.create_agent(sample_agent_config)
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response = await agents_impl.list_agents()
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assert isinstance(response, PaginatedResponse)
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assert len(response.data) == 2
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agent_ids = {agent["agent_id"] for agent in response.data}
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assert agent1_response.agent_id in agent_ids
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assert agent2_response.agent_id in agent_ids
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@pytest.mark.asyncio
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@pytest.mark.parametrize("enable_session_persistence", [True, False])
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async def test_create_agent_session_persistence(agents_impl, sample_agent_config, enable_session_persistence):
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# Create an agent with specified persistence setting
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config = sample_agent_config.model_copy()
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config.enable_session_persistence = enable_session_persistence
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response = await agents_impl.create_agent(config)
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agent_id = response.agent_id
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# Create a session
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session_response = await agents_impl.create_agent_session(agent_id, "test_session")
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assert session_response.session_id is not None
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# Verify the session was stored
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session = await agents_impl.get_agents_session(agent_id, session_response.session_id)
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assert session.session_name == "test_session"
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assert session.session_id == session_response.session_id
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assert session.started_at is not None
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assert session.turns == []
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# Delete the session
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await agents_impl.delete_agents_session(agent_id, session_response.session_id)
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# Verify the session was deleted
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with pytest.raises(ValueError):
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await agents_impl.get_agents_session(agent_id, session_response.session_id)
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@pytest.mark.asyncio
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@pytest.mark.parametrize("enable_session_persistence", [True, False])
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async def test_list_agent_sessions_persistence(agents_impl, sample_agent_config, enable_session_persistence):
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# Create an agent with specified persistence setting
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config = sample_agent_config.model_copy()
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config.enable_session_persistence = enable_session_persistence
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response = await agents_impl.create_agent(config)
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agent_id = response.agent_id
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# Create multiple sessions
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session1 = await agents_impl.create_agent_session(agent_id, "session1")
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session2 = await agents_impl.create_agent_session(agent_id, "session2")
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# List sessions
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sessions = await agents_impl.list_agent_sessions(agent_id)
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assert len(sessions.data) == 2
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session_ids = {s["session_id"] for s in sessions.data}
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assert session1.session_id in session_ids
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assert session2.session_id in session_ids
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# Delete one session
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await agents_impl.delete_agents_session(agent_id, session1.session_id)
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# Verify the session was deleted
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with pytest.raises(ValueError):
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await agents_impl.get_agents_session(agent_id, session1.session_id)
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# List sessions again
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sessions = await agents_impl.list_agent_sessions(agent_id)
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assert len(sessions.data) == 1
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assert session2.session_id in {s["session_id"] for s in sessions.data}
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@pytest.mark.asyncio
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async def test_delete_agent(agents_impl, sample_agent_config):
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# Create an agent
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response = await agents_impl.create_agent(sample_agent_config)
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agent_id = response.agent_id
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# Delete the agent
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await agents_impl.delete_agent(agent_id)
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# Verify the agent was deleted
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with pytest.raises(ValueError):
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await agents_impl.get_agent(agent_id)
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