aa

gurt/api.py

@@ -1096,8 +1096,8 @@ async def get_ai_response(cog: 'GurtCog', message: discord.Message, model_name:
                     # Start with base config (which now includes system_instruction)
                     final_gen_config_dict = base_generation_config_dict.copy()
                     final_gen_config_dict.update({
-                        "response_mime_type": "application/json",
-                        "response_schema": processed_response_schema,
+                        # "response_mime_type": "application/json",
+                        # "response_schema": processed_response_schema,
                         # Explicitly exclude tools/tool_config for final JSON generation
                         "tools": None,
                         "tool_config": None,

print_vertex_schema.py

@@ -0,0 +1,80 @@
+import copy
+import json
+from typing import Dict, Any
+
+# --- Schema Preprocessing Helper ---
+# Copied from discordbot/gurt/api.py
+def _preprocess_schema_for_vertex(schema: Dict[str, Any]) -> Dict[str, Any]:
+    """
+    Recursively preprocesses a JSON schema dictionary to replace list types
+    (like ["string", "null"]) with the first non-null type, making it
+    compatible with Vertex AI's GenerationConfig schema requirements.
+
+    Args:
+        schema: The JSON schema dictionary to preprocess.
+
+    Returns:
+        A new, preprocessed schema dictionary.
+    """
+    if not isinstance(schema, dict):
+        return schema # Return non-dict elements as is
+
+    processed_schema = copy.deepcopy(schema) # Work on a copy
+
+    for key, value in processed_schema.items():
+        if key == "type" and isinstance(value, list):
+            # Find the first non-"null" type in the list
+            first_valid_type = next((t for t in value if isinstance(t, str) and t.lower() != "null"), None)
+            if first_valid_type:
+                processed_schema[key] = first_valid_type
+            else:
+                # Fallback if only "null" or invalid types are present (shouldn't happen in valid schemas)
+                processed_schema[key] = "object" # Or handle as error
+                print(f"Warning: Schema preprocessing found list type '{value}' with no valid non-null string type. Falling back to 'object'.")
+        elif isinstance(value, dict):
+            processed_schema[key] = _preprocess_schema_for_vertex(value) # Recurse for nested objects
+        elif isinstance(value, list):
+            # Recurse for items within arrays (e.g., in 'properties' of array items)
+            processed_schema[key] = [_preprocess_schema_for_vertex(item) if isinstance(item, dict) else item for item in value]
+        # Handle 'properties' specifically
+        elif key == "properties" and isinstance(value, dict):
+             processed_schema[key] = {prop_key: _preprocess_schema_for_vertex(prop_value) for prop_key, prop_value in value.items()}
+        # Handle 'items' specifically if it's a schema object
+        elif key == "items" and isinstance(value, dict):
+             processed_schema[key] = _preprocess_schema_for_vertex(value)
+
+    return processed_schema
+
+# --- Response Schema ---
+# Copied from discordbot/gurt/config.py
+RESPONSE_SCHEMA = {
+    "name": "gurt_response",
+    "description": "The structured response from Gurt.",
+    "schema": {
+        "type": "object",
+        "properties": {
+            "should_respond": {
+                "type": "boolean",
+                "description": "Whether the bot should send a text message in response."
+            },
+            "content": {
+                "type": "string",
+                "description": "The text content of the bot's response. Can be empty if only reacting."
+            },
+            "react_with_emoji": {
+                "type": ["string", "null"],
+                "description": "Optional: A standard Discord emoji to react with, or null/empty if no reaction."
+            },
+            "reply_to_message_id": {
+                "type": ["string", "null"],
+                "description": "Optional: The ID of the message this response should reply to. Null or omit for a regular message."
+            }
+            # Note: tool_requests is handled by Vertex AI's function calling mechanism
+        },
+        "required": ["should_respond", "content"]
+    }
+}
+
+if __name__ == "__main__":
+   processed = _preprocess_schema_for_vertex(RESPONSE_SCHEMA['schema'])
+   print(json.dumps(processed, indent=2))