An open research framework that jointly trains a single LLM policy to create tools and use them. It uses reinforcement learning and decomposed rewards for tool schemas, code correctness, and task outcomes.
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Ranked by how closely each one matches SMITH's job. Prices show each provider's Pro state; entry prices are labelled as such. Unpriced products still belong to the market.
Market = the products most similar to this one by capability; prices are median / quartiles over its priced members, separated by provider type and buyer tier.