EXTENSIONS

Chunk a Whisper transcript and summarize it into a Granola-style meeting note via a local Ollama LLM. Handles long recordings with greedy segment-boundary chunking and an LLM merge pass. Pure TypeScript — no Python, no subprocess. Also provides combine_notes (merge handwritten + analysis) and write_note (write markdown to disk) for full pipeline workflows.

A sourced, versioned knowledge base of LLM-ops knowledge — NOT a control plane for running models, but the structured, CEL-queryable record that running extensions read to decide which model to run where, with what settings, at what cost. Six subject kinds (model, runtime, provider, hardware, technique, endpoint), all the same uniform `entry` shape (open kind + open facets, like @stateless/inventory); a model's run-options embed on the model in runsOn[] keyed by endpoint, and capacity/plan answer "what to run where" over them. The twist: it records external, decaying knowledge, so every volatile assertion carries a provenance envelope (asOf, source, versionPins, supersededBy) — "best vLLM version" is derived as the latest un-superseded claim, never a bare rotting field. Declarative: `apply` materialises one `entry` resource per id (re-run = versioned trend); `prune` soft-retires undeclared entries.

Chat completions and model catalog listing against the OpenRouter LLM gateway API

Ollama LLM integration (generate, batch generate, unload)

Generate text with Anthropic's Claude models via the Messages API from swamp workflows.