feat: trackeo de coste por llamada Claude — tabla api_usage + /costs

src/processor/processor.py

@@ -182,7 +182,7 @@ class ContentProcessor:
             if words < 30:
                 continue
 
-            quality = await self._score_quality(chunk, topic)
+            quality = await self._score_quality(chunk, topic, session_id)
             if quality < settings.quality_threshold:
                 filtered_quality += 1
                 logger.debug("Chunk filtered by quality", source_id=source_id,
@@ -215,13 +215,15 @@ class ContentProcessor:
         logger.info("Source processed", source_id=source_id, stored=stored)
         return stored
 
-    async def _score_quality(self, chunk: str, topic: str) -> float:
+    async def _score_quality(self, chunk: str, topic: str,
+                              session_id: int | None = None) -> float:
         """Score 0-1 relevance to topic. Uses Claude Haiku if API key set, else Ollama."""
         if settings.anthropic_api_key:
-            return await self._score_with_claude(chunk, topic)
+            return await self._score_with_claude(chunk, topic, session_id)
         return await self._score_with_ollama(chunk, topic)
 
-    async def _score_with_claude(self, chunk: str, topic: str) -> float:
+    async def _score_with_claude(self, chunk: str, topic: str,
+                                  session_id: int | None = None) -> float:
         import anthropic
         prompt = (
             f'Rate 0-10 how relevant this text is to the topic "{topic}". '
@@ -234,6 +236,14 @@ class ContentProcessor:
                 max_tokens=10,
                 messages=[{"role": "user", "content": prompt}]
             )
+            if session_id is not None:
+                try:
+                    await self.db.log_api_call(
+                        session_id, "scoring", settings.claude_model,
+                        msg.usage.input_tokens, msg.usage.output_tokens
+                    )
+                except Exception as log_err:
+                    logger.warning("Failed to log API usage", error=str(log_err))
             response = msg.content[0].text.strip()
             numbers = re.findall(r'\b(\d+(?:\.\d+)?)\b', response)
             if numbers: