Enforce gemini-2.5-flash-lite per Echo6 model policy

Replace gemini-2.0-flash with gemini-2.5-flash-lite across the enrichment
and extraction pipeline (config.yaml, lib/extractor.py) and the six
maintenance scripts. Flash Lite is the mandated model for all Gemini calls.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

config.yaml

@@ -40,7 +40,7 @@ vector_db:
   collection: recon_knowledge_hybrid # Collection name
 
 gemini:
-  model: gemini-2.0-flash     # Gemini model for enrichment
+  model: gemini-2.5-flash-lite     # Gemini model for enrichment
   response_mime_type: application/json  # Force JSON output from Gemini
 
 web:

lib/extractor.py

@@ -197,7 +197,7 @@ def _try_gemini_vision(pdf_path, page_num_1indexed, page_timeout=60):
     for attempt in range(3):
         try:
             genai.configure(api_key=api_key)
-            model = genai.GenerativeModel('gemini-2.0-flash')
+            model = genai.GenerativeModel('gemini-2.5-flash-lite')
             response = model.generate_content([
                 {
                     'mime_type': 'image/png',

scripts/cleanup_outliers.py

@@ -166,7 +166,7 @@ def classify_concept(title, subdomains, content, key):
     )
     genai.configure(api_key=key)
     model = genai.GenerativeModel(
-        "gemini-2.0-flash",
+        "gemini-2.5-flash-lite",
         generation_config={"response_mime_type": "application/json"}
     )
     for attempt in range(4):

scripts/domain_reenrich.py

@@ -98,7 +98,7 @@ def classify_concept(title, subdomains, content, key):
     )
     genai.configure(api_key=key)
     model = genai.GenerativeModel(
-        "gemini-2.0-flash",
+        "gemini-2.5-flash-lite",
         generation_config={"response_mime_type": "application/json"}
     )
     for attempt in range(4):

scripts/migrate_domains.py

@@ -110,7 +110,7 @@ def classify_domain(content, summary, subdomains, key):
     )
     genai.configure(api_key=key)
     model = genai.GenerativeModel(
-        "gemini-2.0-flash",
+        "gemini-2.5-flash-lite",
         generation_config={"response_mime_type": "text/plain"}
     )
 

scripts/migrate_skill_level.py

@@ -117,7 +117,7 @@ def classify(title, domains, subdomains, content, key):
     )
     genai.configure(api_key=key)
     model = genai.GenerativeModel(
-        "gemini-2.0-flash",
+        "gemini-2.5-flash-lite",
         generation_config={"response_mime_type": "application/json"}
     )
     for retry in range(4):

scripts/reenrich_reference.py

@@ -124,7 +124,7 @@ def classify(title, subdomains, content, key, attempt=0):
     )
     genai.configure(api_key=key)
     model = genai.GenerativeModel(
-        "gemini-2.0-flash",
+        "gemini-2.5-flash-lite",
         generation_config={"response_mime_type": "application/json"}
     )
     for retry in range(4):

scripts/repair_corrupted.py

@@ -140,7 +140,7 @@ def enrich_window_text(text, key):
     """Call Gemini on raw window text, return concepts list."""
     genai.configure(api_key=key)
     model = genai.GenerativeModel(
-        "gemini-2.0-flash",
+        "gemini-2.5-flash-lite",
         generation_config={"response_mime_type": "application/json"}
     )
     for attempt in range(4):