Fix default LLM model to claude-3-haiku (compatible with API key tier)

agents/llm_client.py

@@ -13,9 +13,9 @@ from shared import DASHBOARD_API, api_request
 
 # Default models per provider
 DEFAULT_MODELS = {
-    "anthropic": "claude-sonnet-4-5-20250514",
+    "anthropic": "claude-3-haiku-20240307",
     "openai": "gpt-4o-mini",
-    "litellm": "anthropic/claude-sonnet-4-5-20250514",
+    "litellm": "anthropic/claude-3-haiku-20240307",
     "ollama": "llama3",
 }
 

agents/test_llm.py

@@ -0,0 +1,18 @@
+#!/usr/bin/env python3
+import sys
+sys.path.insert(0, "/app/agents")
+from shared import api_request, DASHBOARD_API
+from llm_client import get_llm_config, DEFAULT_MODELS
+
+# Check what config the user has
+config = api_request(f"{DASHBOARD_API}/api/users/2/llm", retries=1)
+print(f"LLM config: {config}")
+print(f"Default model for anthropic: {DEFAULT_MODELS.get('anthropic')}")
+
+# Try a simple completion
+from llm_client import complete
+try:
+    result = complete(2, "Say hello in one sentence.", max_tokens=50)
+    print(f"Success: {result}")
+except Exception as e:
+    print(f"Error: {e}")

agents/test_llm2.py

@@ -0,0 +1,38 @@
+#!/usr/bin/env python3
+import json
+from urllib import request
+
+API_KEY = "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"
+
+# Try different model names
+models = [
+    "claude-sonnet-4-5-20250514",
+    "claude-3-5-sonnet-20241022",
+    "claude-3-haiku-20240307",
+    "claude-sonnet-4-5-20250514",
+]
+
+for model in models:
+    try:
+        body = json.dumps({
+            "model": model,
+            "max_tokens": 20,
+            "messages": [{"role": "user", "content": "Say hi"}],
+        }).encode()
+        req = request.Request(
+            "https://api.anthropic.com/v1/messages",
+            data=body,
+            headers={
+                "x-api-key": API_KEY,
+                "anthropic-version": "2023-06-01",
+                "content-type": "application/json",
+            },
+            method="POST",
+        )
+        with request.urlopen(req, timeout=30) as resp:
+            result = json.loads(resp.read().decode())
+            text = result.get("content", [{}])[0].get("text", "")
+            print(f"  {model}: OK - {text}")
+            break
+    except Exception as e:
+        print(f"  {model}: {e}")

agents/test_pm.py

@@ -0,0 +1,26 @@
+#!/usr/bin/env python3
+"""Quick test for the project monitor agent."""
+import sys, json
+sys.path.insert(0, "/app/agents")
+
+config = {
+    "project_name": "AI Agents",
+    "wiki_collection_id": "9d9e471c-84cd-4ba7-bae5-c70f61805228",
+    "wiki_doc_ids": "",
+    "gitea_repo": "eric/ai-agents",
+    "custom_urls": "",
+    "custom_notes": "",
+    "report_collection_id": "",
+    "include_in_briefing": "true",
+}
+
+print("Starting project monitor test...")
+try:
+    from project_monitor import run
+    section, summary = run(config, user_id=2, instance_id=5)
+    print("SUCCESS")
+    print(f"Summary: {summary[:200]}")
+except Exception as e:
+    print(f"FAILED: {type(e).__name__}: {e}")
+    import traceback
+    traceback.print_exc()