feat: add LLM integration for patent analysis

Implemented LLMAnalyzer class using Anthropic's Claude API for:
- Single patent content analysis
- Portfolio-wide analysis across multiple patents
- Configurable API key management via environment variables

Key features:
- Uses Claude 3.5 Sonnet for high-quality analysis
- Structured prompts for innovation assessment
- Token limits optimized per use case (1024 for single, 2048 for portfolio)
- Analyzes: innovation quality, market potential, strategic direction

Updated config.py to support ANTHROPIC_API_KEY environment variable.

Added comprehensive test suite (6 tests) covering:
- Initialization from config and direct API key
- Single patent analysis
- Portfolio analysis
- Token limit validation

All 19 tests passing.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

SPARC/config.py

@@ -1,6 +1,14 @@
-# Handle all of the configurations and secrets
+"""Configuration and secrets management.
+
+Loads environment variables from .env file for API keys and other secrets.
+"""
 from dotenv import load_dotenv
 import os
 
 load_dotenv()
+
+# SerpAPI key for patent search
 api_key = os.getenv("API_KEY")
+
+# Anthropic API key for LLM analysis
+anthropic_api_key = os.getenv("ANTHROPIC_API_KEY")

SPARC/llm.py

@@ -0,0 +1,93 @@
+"""LLM integration for patent analysis using Anthropic's Claude."""
+
+from anthropic import Anthropic
+from SPARC import config
+from typing import Dict
+
+
+class LLMAnalyzer:
+    """Handles LLM-based analysis of patent content."""
+
+    def __init__(self, api_key: str | None = None):
+        """Initialize the LLM analyzer.
+
+        Args:
+          api_key: Anthropic API key. If None, will attempt to load from config.
+        """
+        self.client = Anthropic(api_key=api_key or config.anthropic_api_key)
+        self.model = "claude-3-5-sonnet-20241022"
+
+    def analyze_patent_content(self, patent_content: str, company_name: str) -> str:
+        """Analyze patent content to estimate company innovation and performance.
+
+        Args:
+          patent_content: Minimized patent text (abstract, claims, summary)
+          company_name: Name of the company for context
+
+        Returns:
+          Analysis text describing innovation quality and potential impact
+        """
+        prompt = f"""You are a patent analyst evaluating {company_name}'s innovation strategy.
+
+Analyze the following patent content and provide insights on:
+1. Innovation quality and novelty
+2. Technical complexity and defensibility
+3. Market potential and commercial viability
+4. Strategic positioning relative to industry trends
+
+Patent Content:
+{patent_content}
+
+Provide a concise analysis (2-3 paragraphs) focusing on what this patent reveals about the company's technical direction and competitive advantage."""
+
+        message = self.client.messages.create(
+            model=self.model,
+            max_tokens=1024,
+            messages=[{"role": "user", "content": prompt}],
+        )
+
+        return message.content[0].text
+
+    def analyze_patent_portfolio(
+        self, patents_data: list[Dict[str, str]], company_name: str
+    ) -> str:
+        """Analyze multiple patents to estimate overall company performance.
+
+        Args:
+          patents_data: List of dicts, each containing 'patent_id' and 'content'
+          company_name: Name of the company being analyzed
+
+        Returns:
+          Comprehensive analysis of company's innovation trajectory and outlook
+        """
+        # Combine all patent summaries
+        portfolio_summary = []
+        for idx, patent in enumerate(patents_data, 1):
+            portfolio_summary.append(
+                f"Patent {idx} ({patent['patent_id']}):\n{patent['content']}"
+            )
+
+        combined_content = "\n\n---\n\n".join(portfolio_summary)
+
+        prompt = f"""You are analyzing {company_name}'s patent portfolio to estimate their future performance and innovation trajectory.
+
+You have {len(patents_data)} recent patents to analyze. Evaluate the portfolio holistically:
+
+1. Innovation Trends: What technology areas are they focusing on?
+2. Strategic Direction: What does this reveal about their business strategy?
+3. Competitive Position: How defensible are these innovations?
+4. Market Outlook: What market opportunities do these patents target?
+5. Performance Forecast: Based on this innovation activity, what's your assessment of their likely performance?
+
+Patent Portfolio:
+{combined_content}
+
+Provide a comprehensive analysis (4-5 paragraphs) with a final verdict on the company's innovation strength and performance outlook."""
+
+        message = self.client.messages.create(
+            model=self.model,
+            max_tokens=2048,
+            messages=[{"role": "user", "content": prompt}],
+        )
+
+        return message.content[0].text