Files
nanobot/nanobot/api/server.py
T

196 lines
7.0 KiB
Python

"""OpenAI-compatible HTTP API server for a fixed nanobot session.
Provides /v1/chat/completions and /v1/models endpoints.
All requests route to a single persistent API session.
"""
from __future__ import annotations
import asyncio
import time
import uuid
from typing import Any
from aiohttp import web
from loguru import logger
from nanobot.utils.runtime import EMPTY_FINAL_RESPONSE_MESSAGE
API_SESSION_KEY = "api:default"
API_CHAT_ID = "default"
# ---------------------------------------------------------------------------
# Response helpers
# ---------------------------------------------------------------------------
def _error_json(status: int, message: str, err_type: str = "invalid_request_error") -> web.Response:
return web.json_response(
{"error": {"message": message, "type": err_type, "code": status}},
status=status,
)
def _chat_completion_response(content: str, model: str) -> dict[str, Any]:
return {
"id": f"chatcmpl-{uuid.uuid4().hex[:12]}",
"object": "chat.completion",
"created": int(time.time()),
"model": model,
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": content},
"finish_reason": "stop",
}
],
"usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
}
def _response_text(value: Any) -> str:
"""Normalize process_direct output to plain assistant text."""
if value is None:
return ""
if hasattr(value, "content"):
return str(getattr(value, "content") or "")
return str(value)
# ---------------------------------------------------------------------------
# Route handlers
# ---------------------------------------------------------------------------
async def handle_chat_completions(request: web.Request) -> web.Response:
"""POST /v1/chat/completions"""
# --- Parse body ---
try:
body = await request.json()
except Exception:
return _error_json(400, "Invalid JSON body")
messages = body.get("messages")
if not isinstance(messages, list) or len(messages) != 1:
return _error_json(400, "Only a single user message is supported")
# Stream not yet supported
if body.get("stream", False):
return _error_json(400, "stream=true is not supported yet. Set stream=false or omit it.")
message = messages[0]
if not isinstance(message, dict) or message.get("role") != "user":
return _error_json(400, "Only a single user message is supported")
user_content = message.get("content", "")
if isinstance(user_content, list):
# Multi-modal content array — extract text parts
user_content = " ".join(
part.get("text", "") for part in user_content if part.get("type") == "text"
)
agent_loop = request.app["agent_loop"]
timeout_s: float = request.app.get("request_timeout", 120.0)
model_name: str = request.app.get("model_name", "nanobot")
if (requested_model := body.get("model")) and requested_model != model_name:
return _error_json(400, f"Only configured model '{model_name}' is available")
session_key = f"api:{body['session_id']}" if body.get("session_id") else API_SESSION_KEY
session_locks: dict[str, asyncio.Lock] = request.app["session_locks"]
session_lock = session_locks.setdefault(session_key, asyncio.Lock())
logger.info("API request session_key={} content={}", session_key, user_content[:80])
_FALLBACK = EMPTY_FINAL_RESPONSE_MESSAGE
try:
async with session_lock:
try:
response = await asyncio.wait_for(
agent_loop.process_direct(
content=user_content,
session_key=session_key,
channel="api",
chat_id=API_CHAT_ID,
),
timeout=timeout_s,
)
response_text = _response_text(response)
if not response_text or not response_text.strip():
logger.warning(
"Empty response for session {}, retrying",
session_key,
)
retry_response = await asyncio.wait_for(
agent_loop.process_direct(
content=user_content,
session_key=session_key,
channel="api",
chat_id=API_CHAT_ID,
),
timeout=timeout_s,
)
response_text = _response_text(retry_response)
if not response_text or not response_text.strip():
logger.warning(
"Empty response after retry for session {}, using fallback",
session_key,
)
response_text = _FALLBACK
except asyncio.TimeoutError:
return _error_json(504, f"Request timed out after {timeout_s}s")
except Exception:
logger.exception("Error processing request for session {}", session_key)
return _error_json(500, "Internal server error", err_type="server_error")
except Exception:
logger.exception("Unexpected API lock error for session {}", session_key)
return _error_json(500, "Internal server error", err_type="server_error")
return web.json_response(_chat_completion_response(response_text, model_name))
async def handle_models(request: web.Request) -> web.Response:
"""GET /v1/models"""
model_name = request.app.get("model_name", "nanobot")
return web.json_response({
"object": "list",
"data": [
{
"id": model_name,
"object": "model",
"created": 0,
"owned_by": "nanobot",
}
],
})
async def handle_health(request: web.Request) -> web.Response:
"""GET /health"""
return web.json_response({"status": "ok"})
# ---------------------------------------------------------------------------
# App factory
# ---------------------------------------------------------------------------
def create_app(agent_loop, model_name: str = "nanobot", request_timeout: float = 120.0) -> web.Application:
"""Create the aiohttp application.
Args:
agent_loop: An initialized AgentLoop instance.
model_name: Model name reported in responses.
request_timeout: Per-request timeout in seconds.
"""
app = web.Application()
app["agent_loop"] = agent_loop
app["model_name"] = model_name
app["request_timeout"] = request_timeout
app["session_locks"] = {} # per-user locks, keyed by session_key
app.router.add_post("/v1/chat/completions", handle_chat_completions)
app.router.add_get("/v1/models", handle_models)
app.router.add_get("/health", handle_health)
return app