tests: testing modes have been added in an attempt to tune without wasting tokens.

tmp/99-7861

@@ -0,0 +1,56 @@
+    def __init__(self, api_key: str | None = None, test_mode: bool = False):
+        """Initialize the LLM analyzer.
+
+        Args:
+          api_key: Anthropic API key. If None, will attempt to load from config.
+          test_mode: If True, print prompts instead of making API calls
+        """
+        self.test_mode = test_mode
+        if config.anthropic_api_key and not test_mode:
+            self.client = Anthropic(api_key=api_key or config.anthropic_api_key)
+            self.model = "claude-3-5-sonnet-20241022"
+        else:
+            self.client = None
+
+    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."""
+
+        if self.test_mode:
+            print("=" * 80)
+            print("TEST MODE - Prompt that would be sent to LLM:")
+            print("=" * 80)
+            print(prompt)
+            print("=" * 80)
+            return "[TEST MODE - No API call made]"
+
+        if self.client:
+            message = self.client.messages.create(
+                model=self.model,
+                max_tokens=1024,
+                messages=[{"role": "user", "content": prompt}],
+            )
+            return message.content[0].text
+        else:
+            with open(f"AI_Prompts/{company_name}", "w") as f:
+                f.write(prompt)
+            return True