Multi-Step Tasks
Multi-step tasks are goals that require the agent to chain several actions and observations — e.g., search, read, compute, then write — because no single tool call can solve the problem.
What is Multi-Step Tasks?
Multi-step tasks are goals that require the agent to chain several actions and observations — e.g., search, read, compute, then write — because no single tool call can solve the problem.
Multi-step tasks are goals that require the agent to chain several actions and observations — e.g., search, read, compute, then write — because no single tool call can solve the problem.
Where is it used?
Devin (coding), SWE-agent (GitHub issue resolution), and research agents like Perplexity Pro perform multi-step tasks over many loop iterations with planning and self-correction.
How to build it
Define a complex goal, run the agent loop with `max_iter=20`, log each Thought/Action/Observation triple, and inspect the trace to verify the agent recovers from intermediate failures.