Skip to content

fixed cast error #300

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
nicoloboschi merged 1 commit into from
Feb 5, 2026
Merged

fixed cast error #300

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
12 changes: 6 additions & 6 deletions hindsight-api/hindsight_api/engine/reflect/agent.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -871,21 +871,21 @@ async def _execute_tool(
query = args.get("query")
if not query:
return {"error": "search_mental_models requires a query parameter"}
max_results = args.get("max_results") or 5
max_results = int(args.get("max_results") or 5)
return await search_mental_models_fn(query, max_results)

elif tool_name == "search_observations":
query = args.get("query")
if not query:
return {"error": "search_observations requires a query parameter"}
max_tokens = max(args.get("max_tokens") or 5000, 1000) # Default 5000, min 1000
max_tokens = max(int(args.get("max_tokens") or 5000), 1000) # Default 5000, min 1000
return await search_observations_fn(query, max_tokens)

elif tool_name == "recall":
query = args.get("query")
if not query:
return {"error": "recall requires a query parameter"}
max_tokens = max(args.get("max_tokens") or 2048, 1000) # Default 2048, min 1000
max_tokens = max(int(args.get("max_tokens") or 2048), 1000) # Default 2048, min 1000
return await recall_fn(query, max_tokens)

elif tool_name == "expand":
Expand All @@ -904,18 +904,18 @@ def _summarize_input(tool_name: str, args: dict[str, Any]) -> str:
if tool_name == "search_mental_models":
query = args.get("query", "")
query_preview = f"'{query[:30]}...'" if len(query) > 30 else f"'{query}'"
max_results = args.get("max_results") or 5
max_results = int(args.get("max_results") or 5)
return f"(query={query_preview}, max_results={max_results})"
elif tool_name == "search_observations":
query = args.get("query", "")
query_preview = f"'{query[:30]}...'" if len(query) > 30 else f"'{query}'"
max_tokens = max(args.get("max_tokens") or 5000, 1000)
max_tokens = max(int(args.get("max_tokens") or 5000), 1000)
return f"(query={query_preview}, max_tokens={max_tokens})"
elif tool_name == "recall":
query = args.get("query", "")
query_preview = f"'{query[:30]}...'" if len(query) > 30 else f"'{query}'"
# Show actual value used (default 2048, min 1000)
max_tokens = max(args.get("max_tokens") or 2048, 1000)
max_tokens = max(int(args.get("max_tokens") or 2048), 1000)
return f"(query={query_preview}, max_tokens={max_tokens})"
elif tool_name == "expand":
memory_ids = args.get("memory_ids", [])
Expand Down