Update claude_adapter.py

claude_adapter.py

@@ -0,0 +1,217 @@
+"""
+Claude Opus 4.5 Adapter for ARF
+Drop-in replacement for Hugging Face inference
+"""
+
+import os
+import logging
+from typing import Optional
+from dataclasses import dataclass
+
+logger = logging.getLogger(__name__)
+
+# Try to import anthropic, with graceful fallback
+try:
+    import anthropic
+    ANTHROPIC_AVAILABLE = True
+except ImportError:
+    ANTHROPIC_AVAILABLE = False
+    logger.warning("anthropic package not installed - using mock mode only")
+
+
+@dataclass
+class ClaudeConfig:
+    """Claude API configuration"""
+    api_key: str
+    model: str = "claude-opus-4"
+    max_tokens: int = 512
+    temperature: float = 0.3
+
+
+class ClaudeAdapter:
+    """
+    Drop-in replacement for HF inference in ARF agents
+    
+    Features:
+    - Automatic fallback to mock mode if no API key
+    - Intelligent pre-written responses for demo
+    - Same interface as HF inference
+    - Built-in error handling
+    """
+    
+    def __init__(self, config: Optional[ClaudeConfig] = None):
+        self.config = config or ClaudeConfig(
+            api_key=os.environ.get("ANTHROPIC_API_KEY", "")
+        )
+        
+        if not ANTHROPIC_AVAILABLE:
+            logger.warning("Anthropic package not available - mock mode only")
+            self.mock_mode = True
+        elif not self.config.api_key:
+            logger.warning("No ANTHROPIC_API_KEY found - using mock mode")
+            self.mock_mode = True
+        else:
+            try:
+                self.client = anthropic.Anthropic(api_key=self.config.api_key)
+                self.mock_mode = False
+                logger.info(f"✅ Claude adapter initialized with model: {self.config.model}")
+            except Exception as e:
+                logger.error(f"Failed to initialize Claude client: {e}")
+                self.mock_mode = True
+    
+    def generate_completion(
+        self,
+        prompt: str,
+        system_prompt: Optional[str] = None
+    ) -> str:
+        """
+        Generate completion using Claude or fallback to mock
+        
+        Args:
+            prompt: User prompt
+            system_prompt: Optional system context
+            
+        Returns:
+            Generated text response
+        """
+        if self.mock_mode:
+            logger.debug("Using mock mode (no API key or package not available)")
+            return self._mock_response(prompt)
+        
+        try:
+            messages = [{"role": "user", "content": prompt}]
+            
+            kwargs = {
+                "model": self.config.model,
+                "max_tokens": self.config.max_tokens,
+                "temperature": self.config.temperature,
+                "messages": messages
+            }
+            
+            if system_prompt:
+                kwargs["system"] = system_prompt
+            
+            response = self.client.messages.create(**kwargs)
+            
+            # Extract text from response
+            if response.content and len(response.content) > 0:
+                return response.content[0].text
+            
+            logger.warning("Empty response from Claude - using mock")
+            return self._mock_response(prompt)
+            
+        except Exception as e:
+            logger.error(f"Claude API error: {e} - falling back to mock")
+            return self._mock_response(prompt)
+    
+    def _mock_response(self, prompt: str) -> str:
+        """
+        Intelligent fallback mock response for demo
+        Pre-crafted to show system capabilities
+        """
+        prompt_lower = prompt.lower()
+        
+        # Detective Agent Response
+        if "detective" in prompt_lower or "anomaly" in prompt_lower:
+            return """🔍 ANOMALY DETECTED: Payment gateway timeout pattern identified.
+
+PATTERN ANALYSIS:
+• Current error rate: 87% (baseline: <5%)
+• Latency spike: 8500ms P99 (baseline: ~100ms)  
+• Pattern match: 94% similarity to incident 2024-11-15 (database connection pool exhaustion)
+
+CONFIDENCE: HIGH (0.87)
+
+CLASSIFICATION: Infrastructure failure - upstream dependency timeout
+
+AFFECTED METRICS:
+Primary: Error rate (+1740% vs baseline)
+Secondary: Latency (+8400% vs baseline)
+Tertiary: Throughput degradation
+
+RECOMMENDATION: Immediate investigation of upstream payment provider status + connection pool health check required."""
+        
+        # Diagnostician Agent Response
+        elif "diagnostician" in prompt_lower or "root cause" in prompt_lower:
+            return """🔬 ROOT CAUSE ANALYSIS:
+
+PRIMARY CAUSE:
+Upstream payment provider latency spike (avg response: 8.5s, normal: <500ms)
+
+SECONDARY FACTORS:
+• Connection pool exhaustion (95% utilized)
+• Retry storm amplifying load (exponential backoff not engaged)
+• Circuit breaker threshold not reached (87% < 90% threshold)
+
+EVIDENCE CHAIN:
+1. Error rate spike correlates with provider status page incident (timestamp alignment)
+2. Connection pool saturation occurred 45 seconds before error spike
+3. Upstream API latency increased 17x baseline
+4. Historical pattern match: 94% similarity to Nov 15 incident
+
+RECOMMENDED ACTION: REROUTE
+• Target: gateway-2 (backup payment processor)
+• Expected recovery: 45±5 seconds
+• Success probability: 92% (based on historical data)
+
+RATIONALE: Rerouting bypasses degraded provider, allows time for upstream recovery."""
+        
+        # Predictive Agent Response
+        elif "predictive" in prompt_lower or "forecast" in prompt_lower:
+            return """📈 PREDICTIVE FORECAST ANALYSIS:
+
+CURRENT TRAJECTORY:
+• Error rate: Increasing at 12%/minute (exponential trend)
+• Latency: Accelerating degradation (quadratic curve)
+• Resource utilization: CPU 75%, Memory 82% (stable)
+
+TIME-TO-FAILURE ESTIMATES:
+• Critical threshold (>95% error rate): ~8 minutes
+• Complete service failure: ~12 minutes  
+• Current impact: 1,240 active users affected
+
+RISK ASSESSMENT:
+Risk Score: 0.85 (HIGH)
+Confidence: 0.79
+Trend: DETERIORATING
+
+BUSINESS IMPACT FORECAST:
+• Current revenue loss: \$12,000/minute
+• Projected 15-min loss (no action): \$180,000
+• Customer churn risk: MEDIUM (historical correlation: 0.67)
+• SLA violation: IMMINENT (99.9% target, current: 13% availability)
+
+RECOMMENDATIONS:
+Primary: Execute REROUTE action immediately (Diagnostician recommendation)
+Secondary: Scale connection pool +50% capacity
+Tertiary: Enable aggressive circuit breaking (lower threshold to 75%)
+
+PREVENTIVE MEASURES:
+Monitor upstream provider health proactively, implement predictive circuit breaking."""
+        
+        # Generic/Synthesis Response
+        else:
+            return """✅ MULTI-AGENT ANALYSIS COMPLETE
+
+SYSTEM STATUS: Incident detected and analyzed
+CONFIDENCE: HIGH (0.85)
+
+SYNTHESIS:
+All agents have completed analysis. The system has identified a critical upstream dependency failure requiring immediate intervention. Recovery action has been selected based on historical success patterns and current system state.
+
+Recommended action: REROUTE to backup systems
+Expected outcome: Service restoration within 45 seconds
+
+Continuing autonomous monitoring..."""
+
+
+# Singleton instance
+_claude_adapter: Optional[ClaudeAdapter] = None
+
+
+def get_claude_adapter() -> ClaudeAdapter:
+    """Get or create Claude adapter singleton"""
+    global _claude_adapter
+    if _claude_adapter is None:
+        _claude_adapter = ClaudeAdapter()
+    return _claude_adapter