176 lines
5.3 KiB
Python
176 lines
5.3 KiB
Python
"""LLM API client"""
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import json
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import httpx
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from typing import Dict, Any, Optional, List, AsyncGenerator
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from luxx.config import config
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class LLMResponse:
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"""LLM response"""
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content: str
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tool_calls: Optional[List[Dict]] = None
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usage: Optional[Dict] = None
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def __init__(
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self,
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content: str = "",
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tool_calls: Optional[List[Dict]] = None,
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usage: Optional[Dict] = None
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):
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self.content = content
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self.tool_calls = tool_calls
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self.usage = usage
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class LLMClient:
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"""LLM API client with multi-provider support"""
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def __init__(self, api_key: str = None, api_url: str = None, model: str = None):
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self.api_key = api_key or config.llm_api_key
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self.api_url = api_url or config.llm_api_url
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self.default_model = model
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self.provider = self._detect_provider()
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self._client: Optional[httpx.AsyncClient] = None
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def _detect_provider(self) -> str:
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"""Detect provider from URL"""
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url = self.api_url.lower()
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if "deepseek" in url:
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return "deepseek"
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elif "glm" in url or "zhipu" in url:
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return "glm"
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elif "openai" in url:
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return "openai"
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return "openai"
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async def close(self):
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"""Close client"""
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if self._client:
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await self._client.aclose()
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self._client = None
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def _build_headers(self) -> Dict[str, str]:
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"""Build request headers"""
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return {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {self.api_key}"
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}
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def _build_body(
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self,
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model: str,
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messages: List[Dict],
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tools: Optional[List[Dict]] = None,
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stream: bool = False,
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**kwargs
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) -> Dict[str, Any]:
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"""Build request body"""
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body = {
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"model": model,
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"messages": messages,
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"stream": stream
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}
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if "temperature" in kwargs:
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body["temperature"] = kwargs["temperature"]
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if "max_tokens" in kwargs:
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body["max_tokens"] = kwargs["max_tokens"]
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if tools:
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body["tools"] = tools
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return body
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def _parse_response(self, data: Dict) -> LLMResponse:
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"""Parse response"""
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content = ""
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tool_calls = None
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usage = None
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if "choices" in data:
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choice = data["choices"][0]
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content = choice.get("message", {}).get("content", "")
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tool_calls = choice.get("message", {}).get("tool_calls")
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if "usage" in data:
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usage = data["usage"]
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return LLMResponse(
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content=content,
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tool_calls=tool_calls,
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usage=usage
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)
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async def client(self) -> httpx.AsyncClient:
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"""Get HTTP client"""
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if self._client is None:
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self._client = httpx.AsyncClient(timeout=120.0)
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return self._client
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async def sync_call(
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self,
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model: str,
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messages: List[Dict],
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tools: Optional[List[Dict]] = None,
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**kwargs
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) -> LLMResponse:
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"""Call LLM API (non-streaming)"""
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body = self._build_body(model, messages, tools, stream=False, **kwargs)
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async with httpx.AsyncClient(timeout=120.0) as client:
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response = await client.post(
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self.api_url,
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headers=self._build_headers(),
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json=body
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)
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response.raise_for_status()
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data = response.json()
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return self._parse_response(data)
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async def stream_call(
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self,
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model: str,
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messages: List[Dict],
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tools: Optional[List[Dict]] = None,
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**kwargs
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) -> AsyncGenerator[str, None]:
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"""Stream call LLM API - yields raw SSE event lines
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Yields:
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str: Raw SSE event lines for direct forwarding
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"""
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body = self._build_body(model, messages, tools, stream=True, **kwargs)
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print(f"[LLM] Starting stream_call for model: {model}")
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print(f"[LLM] Messages count: {len(messages)}")
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try:
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async with httpx.AsyncClient(timeout=120.0) as client:
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print(f"[LLM] Sending request to {self.api_url}")
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async with client.stream(
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"POST",
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self.api_url,
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headers=self._build_headers(),
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json=body
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) as response:
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print(f"[LLM] Response status: {response.status_code}")
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response.raise_for_status()
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async for line in response.aiter_lines():
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if line.strip():
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yield line + "\n"
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except httpx.HTTPStatusError as e:
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status_code = e.response.status_code if e.response else "?"
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print(f"[LLM] HTTP error: {status_code}")
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yield f"event: error\ndata: {json.dumps({'content': f'HTTP {status_code}: Request failed'})}\n\n"
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except Exception as e:
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print(f"[LLM] Exception: {type(e).__name__}: {str(e)}")
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yield f"event: error\ndata: {json.dumps({'content': str(e)})}\n\n"
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# Global LLM client
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llm_client = LLMClient()
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