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Multi-step task with an LLM tool-use loop
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In a notebook with docs open, solve a multi-step problem by writing code that calls a language model as a building block: design the prompts and the loop that invokes tools and folds results back in. Starter API code is given; judgment about decomposition matters more than syntax.
class Tool:
def __init__(self, name, description, input_schema, fn): ...
def run_agent(client, model, system, user_message, tools, max_turns=8, max_tokens=1024):
"""Messages-API tool loop. Returns (final_text, messages)."""
def map_prompts(client, model, system, inputs, render, parse, workers=8, retries=1):
"""One validated call per input, in parallel."""
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