### 1 · ping
GET /api/ping HTTP/1.1
Host: 127.0.0.1:8080

HTTP/1.1 200 OK
Content-Type: application/json
Date: <http-date>

{
  "status": "ok"
}

### 2 · agents
GET /api/agents HTTP/1.1
Host: 127.0.0.1:8080

HTTP/1.1 200 OK
Content-Type: application/json
Date: <http-date>

[
  {
    "name": "pong",
    "description": "Answers every message with the word pong.",
    "multi": false
  }
]

### 3 · create a session
POST /api/sessions HTTP/1.1
Host: 127.0.0.1:8080
Content-Type: application/json

{}

HTTP/1.1 200 OK
Content-Type: application/json
Date: <http-date>

{
  "id": "<uuid>",
  "origin": "run",
  "title": "",
  "messages": null,
  "created_at": "<ts>",
  "tools_approved": false,
  "hide_tool_results": false,
  "SendUserMessage": true,
  "max_iterations": 0,
  "starred": false,
  "input_tokens": "<n>",
  "output_tokens": "<n>",
  "cost": "<n>"
}

### 4 · run the agent (SSE)
POST /api/sessions/<uuid>/agent/pong HTTP/1.1
Host: 127.0.0.1:8080
Accept: text/event-stream
Content-Type: application/json

{
  "messages": [
    {
      "role": "user",
      "content": "ping"
    }
  ]
}

HTTP/1.1 200 OK
Cache-Control: no-cache
Connection: keep-alive
Content-Type: text/event-stream
Date: <http-date>
Transfer-Encoding: chunked

data: {"agent_name": "root", "available_agents": [{"description": "Answers every message with the word pong.", "model": "ai/qwen3:4b", "name": "root", "provider": "dmr"}], "current_agent": "root", "timestamp": "<ts>", "type": "team_info"}

data: {"agent_name": "root", "available_tools": 0, "loading": false, "timestamp": "<ts>", "type": "toolset_info"}

data: {"message": "ping", "session_id": "<uuid>", "session_position": 0, "timestamp": "<ts>", "type": "user_message"}

data: {"agent_name": "root", "session_id": "<uuid>", "timestamp": "<ts>", "type": "stream_started"}

data: {"agent_name": "root", "available_tools": 0, "loading": false, "timestamp": "<ts>", "type": "toolset_info"}

data: {"agent_name": "root", "description": "Answers every message with the word pong.", "model": "dmr/ai/qwen3:4b", "timestamp": "<ts>", "type": "agent_info"}

data: {"agent_name": "root", "content": "pong", "message_id": "<uuid>", "session_id": "<uuid>", "timestamp": "<ts>", "type": "agent_choice"}

data: {"agent_name": "root", "session_id": "<uuid>", "timestamp": "<ts>", "type": "message_added"}

data: {"agent_name": "root", "session_id": "<uuid>", "timestamp": "<ts>", "type": "token_usage", "usage": {"context_length": "<n>", "context_limit": "<n>", "cost": "<n>", "input_tokens": "<n>", "last_message": {"Cost": 0, "Model": "dmr/ai/qwen3:4b", "cached_input_tokens": "<n>", "cached_write_tokens": "<n>", "finish_reason": "stop", "input_tokens": "<n>", "output_tokens": "<n>"}, "output_tokens": "<n>"}}

data: {"agent_name": "root", "finish_reason": "stop", "reason": "normal", "session_id": "<uuid>", "timestamp": "<ts>", "type": "stream_stopped"}

### 5 · read the session back
GET /api/sessions/<uuid> HTTP/1.1
Host: 127.0.0.1:8080

HTTP/1.1 200 OK
Content-Type: application/json
Date: <http-date>

{
  "id": "<uuid>",
  "title": "",
  "messages": [
    {
      "agent_name": "",
      "message": {
        "role": "user",
        "content": "ping",
        "created_at": "<ts>"
      }
    },
    {
      "agent_name": "root",
      "message": {
        "message_id": "<uuid>",
        "role": "assistant",
        "content": "pong",
        "reasoning_content": "Hmm, the user just said \"ping\". That's a simple command in networking that sends a test packet to a host. But they're asking me to respond with exactly \"pong\" - no extra words, nothing else.\n\nI recall the instruction says: \"Reply with exactly the word pong and nothing else.\" So I shouldn't add any explanations or context. The user seems to be testing if I follow precise instructions - maybe they're a developer checking API responses or just someone playing with chatbots.\n\nThe safest approach is to output just \"pong\" as requested. No punctuation, no capitalization changes - strictly the word \"pong\". I'll make sure there's nothing after it. \n\nThis is actually a fun little test of instruction-following precision. The user gets exactly what they asked for - a clean, minimal response. Perfect.\n",
        "created_at": "<ts>",
        "usage": {
          "input_tokens": "<n>",
          "output_tokens": "<n>",
          "cached_input_tokens": "<n>",
          "cached_write_tokens": "<n>"
        },
        "model": "dmr/ai/qwen3:4b",
        "finish_reason": "stop"
      }
    }
  ],
  "created_at": "<ts>",
  "tools_approved": false,
  "input_tokens": "<n>",
  "output_tokens": "<n>"
}