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