StatusSign in to track progress Implement a Minimal ReAct Loop
Build a Thought -> Action -> Observation loop that terminates on a Final Answer.
DifficultyEasy
Agent Loop78%20mStatusSign in to track progress Route Tool Calls from Agent Output
Parse agent output and route tool calls to the right handler with a fallback for unknown tools.
DifficultyEasy
Agent Loop75%15mStatusSign in to track progress Recover from Tool Errors in the Loop
Wrap tool calls in try/except so that runtime errors become observations and the loop continues.
DifficultyMedium
Agent Loop65%25mStatusSign in to track progress Stop a Loop with a Step Budget
Track step count and return a fallback result when the agent exceeds its allowed step budget.
DifficultyEasy
Agent Loop68%20mStatusSign in to track progress Summarize a Growing Scratchpad
When the scratchpad exceeds a token limit, summarize the older portion while preserving the latest action and observation.
DifficultyMedium
Agent Loop55%30mStatusSign in to track progress Generate a JSON Schema for a Tool
Convert a Python function's signature into an OpenAI-compatible tool schema.
DifficultyEasy
Tool Creation81%15mStatusSign in to track progress Derive Tool Params from Type Hints
Extract parameter metadata from function signatures, handling optional defaults and unknown annotations.
DifficultyEasy
Tool Creation78%15mStatusSign in to track progress Validate Tool Arguments Before Calling
Check that keyword arguments match a schema before dispatching a function call.
DifficultyMedium
Tool Creation58%25mStatusSign in to track progress Execute Parallel Tool Calls with Traceable Results
Execute multiple tool calls while preserving request order, traceability, and isolated failures.
DifficultyMedium
Tool Creation60%20mStatusSign in to track progress Normalize Tool Observations for the Agent Loop
Convert raw tool outputs into stable observations the next agent step can safely consume.
DifficultyMedium
Tool Creation63%20m