Promote: native function-calling + svg/canvas recovery - #360
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…ction Generative tools carry a big SVG/code arg that rarely survives JSON-escaping, so models (e.g. GLM) emit the <svg> or js code block directly and parseAction fails -> 'I didn't quite catch that'. Add recoverContentAction: when parseAction fails and a scoped generative tool matches raw output (an <svg> or a js fence), run that tool on the raw content (the executor already extracts/sanitizes it).
fix(agent): recover svg/canvas artifacts when the model skips the JSON action
…ol use) Add provider.chatTools using the real OpenAI tools/tool_calls and Anthropic tool_use APIs — so big/complex args (SVG, code, multi-step plans) are encoded by the provider, not hand-formatted by the model as fragile JSON-in-prose. useAgentChat now runs a NATIVE tool loop for cloud providers (proper assistant/tool messages), falling back to the prompt-based JSON loop for on-device WebLLM. Executor running (file/param collection, chaining, param prompting) extracted into a shared runExecutor used by both loops.
feat(agent): native function-calling for cloud providers
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Promotes native function-calling for cloud providers (#359) and the svg/canvas content-recovery fix (#358) to production.