151 lines
5.3 KiB
Python
151 lines
5.3 KiB
Python
"""DeepSeek LLM client with robust error handling."""
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from typing import List, Dict, Any, Optional
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import logging
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import requests
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from requests.exceptions import RequestException, Timeout, HTTPError
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from ..config import settings
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logger = logging.getLogger(__name__)
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class LLMError(Exception):
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"""Base exception for LLM-related errors."""
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pass
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class LLMConfigurationError(LLMError):
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"""Raised when LLM is not properly configured."""
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pass
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class LLMAPIError(LLMError):
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"""Raised when LLM API returns an error."""
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pass
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class DeepSeekClient:
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"""Client for interacting with DeepSeek API."""
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def __init__(
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self,
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api_key: Optional[str] = None,
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base_url: Optional[str] = None,
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model: Optional[str] = None,
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timeout: Optional[int] = None,
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):
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"""
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Initialize DeepSeek client.
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Args:
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api_key: API key for authentication (defaults to settings)
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base_url: Base URL for API (defaults to settings)
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model: Model name to use (defaults to settings)
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timeout: Request timeout in seconds (defaults to settings)
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Raises:
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LLMConfigurationError: If API key is missing
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"""
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self.api_key = api_key or settings.deepseek_api_key
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self.base_url = base_url or settings.deepseek_base_url
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self.model = model or settings.model
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self.timeout = timeout or settings.request_timeout
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if not self.api_key:
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raise LLMConfigurationError(
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"DeepSeek API key is required. Set DEEPSEEK_API_KEY environment variable."
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)
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if not self.base_url:
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raise LLMConfigurationError(
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"DeepSeek base URL is required. Set DEEPSEEK_BASE_URL environment variable."
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)
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logger.info(f"DeepSeek client initialized with model: {self.model}")
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def complete(self, messages: List[Dict[str, Any]]) -> str:
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"""
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Generate a completion from the LLM.
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Args:
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messages: List of message dicts with 'role' and 'content' keys
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Returns:
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Generated text response
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Raises:
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LLMAPIError: If API request fails
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ValueError: If messages format is invalid
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"""
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# Validate messages format
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if not messages:
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raise ValueError("Messages list cannot be empty")
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for msg in messages:
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if not isinstance(msg, dict):
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raise ValueError(f"Each message must be a dict, got {type(msg)}")
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if "role" not in msg or "content" not in msg:
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raise ValueError(f"Each message must have 'role' and 'content' keys, got {msg.keys()}")
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if msg["role"] not in ("system", "user", "assistant"):
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raise ValueError(f"Invalid role: {msg['role']}")
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url = f"{self.base_url}/v1/chat/completions"
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json",
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}
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payload = {
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"model": self.model,
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"messages": messages,
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"temperature": settings.temperature,
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}
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try:
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logger.debug(f"Sending request to {url} with {len(messages)} messages")
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response = requests.post(
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url,
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headers=headers,
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json=payload,
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timeout=self.timeout
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)
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response.raise_for_status()
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data = response.json()
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# Validate response structure
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if "choices" not in data or not data["choices"]:
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raise LLMAPIError("Invalid API response: missing 'choices'")
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if "message" not in data["choices"][0]:
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raise LLMAPIError("Invalid API response: missing 'message' in choice")
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if "content" not in data["choices"][0]["message"]:
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raise LLMAPIError("Invalid API response: missing 'content' in message")
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content = data["choices"][0]["message"]["content"]
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logger.debug(f"Received response with {len(content)} characters")
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return content
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except Timeout as e:
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logger.error(f"Request timeout after {self.timeout}s: {e}")
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raise LLMAPIError(f"Request timeout after {self.timeout} seconds") from e
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except HTTPError as e:
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logger.error(f"HTTP error from DeepSeek API: {e}")
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if e.response is not None:
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try:
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error_data = e.response.json()
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error_msg = error_data.get("error", {}).get("message", str(e))
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except Exception:
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error_msg = str(e)
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raise LLMAPIError(f"DeepSeek API error: {error_msg}") from e
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raise LLMAPIError(f"HTTP error: {e}") from e
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except RequestException as e:
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logger.error(f"Request failed: {e}")
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raise LLMAPIError(f"Failed to connect to DeepSeek API: {e}") from e
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except (KeyError, IndexError, TypeError) as e:
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logger.error(f"Failed to parse API response: {e}")
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raise LLMAPIError(f"Invalid API response format: {e}") from e
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