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feat: implementation for agent/session list and describe (#1606)

Browse source 
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>
This commit is contained in:
Sébastien Han 2025-05-07 14:49:23 +02:00 • committed by GitHub
parent 40e71758d9
commit c91e3552a3
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
19 changed files with 510 additions and 130 deletions
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108
llama_stack/providers/inline/agents/meta_reference/agents.py
View file

@ -4,10 +4,10 @@
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import json
import logging
import uuid
from collections.abc import AsyncGenerator
from datetime import datetime, timezone
from llama_stack.apis.agents import (
Agent,
@ -20,14 +20,13 @@ from llama_stack.apis.agents import (
AgentTurnCreateRequest,
AgentTurnResumeRequest,
Document,
ListAgentSessionsResponse,
ListAgentsResponse,
OpenAIResponseInputMessage,
OpenAIResponseInputTool,
OpenAIResponseObject,
Session,
Turn,
)
from llama_stack.apis.common.responses import PaginatedResponse
from llama_stack.apis.inference import (
Inference,
ToolConfig,
@ -38,14 +37,15 @@ from llama_stack.apis.inference import (
from llama_stack.apis.safety import Safety
from llama_stack.apis.tools import ToolGroups, ToolRuntime
from llama_stack.apis.vector_io import VectorIO
from llama_stack.providers.utils.datasetio.pagination import paginate_records
from llama_stack.providers.utils.kvstore import InmemoryKVStoreImpl, kvstore_impl
from .agent_instance import ChatAgent
from .config import MetaReferenceAgentsImplConfig
from .openai_responses import OpenAIResponsesImpl
from .persistence import AgentInfo
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class MetaReferenceAgentsImpl(Agents):
@ -82,43 +82,47 @@ class MetaReferenceAgentsImpl(Agents):
agent_config: AgentConfig,
) -> AgentCreateResponse:
agent_id = str(uuid.uuid4())
created_at = datetime.now(timezone.utc)
agent_info = AgentInfo(
**agent_config.model_dump(),
created_at=created_at,
)
# Store the agent info
await self.persistence_store.set(
key=f"agent:{agent_id}",
value=agent_config.model_dump_json(),
value=agent_info.model_dump_json(),
)
return AgentCreateResponse(
agent_id=agent_id,
)
async def _get_agent_impl(self, agent_id: str) -> ChatAgent:
agent_config = await self.persistence_store.get(
agent_info_json = await self.persistence_store.get(
key=f"agent:{agent_id}",
)
if not agent_config:
raise ValueError(f"Could not find agent config for {agent_id}")
if not agent_info_json:
raise ValueError(f"Could not find agent info for {agent_id}")
try:
agent_config = json.loads(agent_config)
except json.JSONDecodeError as e:
raise ValueError(f"Could not JSON decode agent config for {agent_id}") from e
try:
agent_config = AgentConfig(**agent_config)
agent_info = AgentInfo.model_validate_json(agent_info_json)
except Exception as e:
raise ValueError(f"Could not validate(?) agent config for {agent_id}") from e
raise ValueError(f"Could not validate agent info for {agent_id}") from e
return ChatAgent(
agent_id=agent_id,
agent_config=agent_config,
agent_config=agent_info,
inference_api=self.inference_api,
safety_api=self.safety_api,
vector_io_api=self.vector_io_api,
tool_runtime_api=self.tool_runtime_api,
tool_groups_api=self.tool_groups_api,
persistence_store=(
self.persistence_store if agent_config.enable_session_persistence else self.in_memory_store
self.persistence_store if agent_info.enable_session_persistence else self.in_memory_store
),
created_at=agent_info.created_at,
)
async def create_agent_session(
@ -212,6 +216,7 @@ class MetaReferenceAgentsImpl(Agents):
turn_ids: list[str] | None = None,
) -> Session:
agent = await self._get_agent_impl(agent_id)
session_info = await agent.storage.get_session_info(session_id)
if session_info is None:
raise ValueError(f"Session {session_id} not found")
@ -226,24 +231,75 @@ class MetaReferenceAgentsImpl(Agents):
)
async def delete_agents_session(self, agent_id: str, session_id: str) -> None:
await self.persistence_store.delete(f"session:{agent_id}:{session_id}")
agent = await self._get_agent_impl(agent_id)
session_info = await agent.storage.get_session_info(session_id)
if session_info is None:
raise ValueError(f"Session {session_id} not found")
# Delete turns first, then the session
await agent.storage.delete_session_turns(session_id)
await agent.storage.delete_session(session_id)
async def delete_agent(self, agent_id: str) -> None:
# First get all sessions for this agent
agent = await self._get_agent_impl(agent_id)
sessions = await agent.storage.list_sessions()
# Delete all sessions
for session in sessions:
await self.delete_agents_session(agent_id, session.session_id)
# Finally delete the agent itself
await self.persistence_store.delete(f"agent:{agent_id}")
async def shutdown(self) -> None:
pass
async def list_agents(self, start_index: int | None = None, limit: int | None = None) -> PaginatedResponse:
agent_keys = await self.persistence_store.keys_in_range("agent:", "agent:\xff")
agent_list: list[Agent] = []
for agent_key in agent_keys:
agent_id = agent_key.split(":")[1]
async def list_agents(self) -> ListAgentsResponse:
pass
# Get the agent info using the key
agent_info_json = await self.persistence_store.get(agent_key)
if not agent_info_json:
logger.error(f"Could not find agent info for key {agent_key}")
continue
try:
agent_info = AgentInfo.model_validate_json(agent_info_json)
agent_list.append(
Agent(
agent_id=agent_id,
agent_config=agent_info,
created_at=agent_info.created_at,
)
)
except Exception as e:
logger.error(f"Error parsing agent info for {agent_id}: {e}")
continue
# Convert Agent objects to dictionaries
agent_dicts = [agent.model_dump() for agent in agent_list]
return paginate_records(agent_dicts, start_index, limit)
async def get_agent(self, agent_id: str) -> Agent:
pass
chat_agent = await self._get_agent_impl(agent_id)
agent = Agent(
agent_id=agent_id,
agent_config=chat_agent.agent_config,
created_at=chat_agent.created_at,
)
return agent
async def list_agent_sessions(
self,
agent_id: str,
) -> ListAgentSessionsResponse:
self, agent_id: str, start_index: int | None = None, limit: int | None = None
) -> PaginatedResponse:
agent = await self._get_agent_impl(agent_id)
sessions = await agent.storage.list_sessions()
# Convert Session objects to dictionaries
session_dicts = [session.model_dump() for session in sessions]
return paginate_records(session_dicts, start_index, limit)
async def shutdown(self) -> None:
pass
# OpenAI responses