CBCFacil v8.0 - Refactored with AMD GPU support
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108
services/ai/claude_provider.py
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108
services/ai/claude_provider.py
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"""
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Claude AI Provider implementation
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"""
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import logging
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import subprocess
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import shutil
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from typing import Dict, Any, Optional
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from ..config import settings
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from ..core import AIProcessingError
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from .base_provider import AIProvider
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class ClaudeProvider(AIProvider):
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"""Claude AI provider using CLI"""
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def __init__(self):
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self.logger = logging.getLogger(__name__)
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self._cli_path = settings.CLAUDE_CLI_PATH or shutil.which("claude")
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self._token = settings.ZAI_AUTH_TOKEN
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self._base_url = settings.ZAI_BASE_URL
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@property
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def name(self) -> str:
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return "Claude"
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def is_available(self) -> bool:
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"""Check if Claude CLI is available"""
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return bool(self._cli_path and self._token)
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def _get_env(self) -> Dict[str, str]:
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"""Get environment variables for Claude"""
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env = {
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'ANTHROPIC_AUTH_TOKEN': self._token,
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'ANTHROPIC_BASE_URL': self._base_url,
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'PYTHONUNBUFFERED': '1'
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}
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return env
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def _run_cli(self, prompt: str, timeout: int = 300) -> str:
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"""Run Claude CLI with prompt"""
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if not self.is_available():
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raise AIProcessingError("Claude CLI not available or not configured")
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try:
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cmd = [self._cli_path]
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process = subprocess.run(
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cmd,
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input=prompt,
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env=self._get_env(),
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text=True,
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capture_output=True,
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timeout=timeout,
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shell=False
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)
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if process.returncode != 0:
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error_msg = process.stderr or "Unknown error"
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raise AIProcessingError(f"Claude CLI failed: {error_msg}")
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return process.stdout.strip()
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except subprocess.TimeoutExpired:
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raise AIProcessingError(f"Claude CLI timed out after {timeout}s")
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except Exception as e:
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raise AIProcessingError(f"Claude CLI error: {e}")
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def summarize(self, text: str, **kwargs) -> str:
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"""Generate summary using Claude"""
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prompt = f"""Summarize the following text:
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{text}
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Provide a clear, concise summary in Spanish."""
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return self._run_cli(prompt)
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def correct_text(self, text: str, **kwargs) -> str:
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"""Correct text using Claude"""
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prompt = f"""Correct the following text for grammar, spelling, and clarity:
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{text}
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Return only the corrected text, nothing else."""
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return self._run_cli(prompt)
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def classify_content(self, text: str, **kwargs) -> Dict[str, Any]:
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"""Classify content using Claude"""
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categories = ["historia", "analisis_contable", "instituciones_gobierno", "otras_clases"]
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prompt = f"""Classify the following text into one of these categories:
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- historia
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- analisis_contable
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- instituciones_gobierno
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- otras_clases
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Text: {text}
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Return only the category name, nothing else."""
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result = self._run_cli(prompt).lower()
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# Validate result
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if result not in categories:
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result = "otras_clases"
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return {
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"category": result,
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"confidence": 0.9,
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"provider": self.name
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}
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