feat: add TwelveLabs Pegasus for full-video summaries (opt-in)#12
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mohit-twelvelabs wants to merge 1 commit into
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feat: add TwelveLabs Pegasus for full-video summaries (opt-in)#12mohit-twelvelabs wants to merge 1 commit into
mohit-twelvelabs wants to merge 1 commit into
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Add an opt-in summary source that analyzes the full video (visual + audio) with TwelveLabs' Pegasus model instead of the Supadata caption transcript. Useful for demos, on-screen-text tutorials, sports, music videos, or any video where captions don't capture everything. - lib/twelvelabs.ts: client factory + index/upload/analyze flow (mirrors lib/glm.ts) - POST /api/summarize: opt-in source: "video" path; default transcript path unchanged - Setup/Settings: "twelvelabs" provider wired into key validation, save, delete, and listing - llmChain: surface Pegasus in getAvailableModels; text fallback chain unchanged - Tests: no-network unit test for the Pegasus flow (mocks the SDK) - Docs: README, docs/configuration.md, docs/api.md
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Hi! I'm Mohit, I work at TwelveLabs (@mohit-twelvelabs).
This PR adds an opt-in summary source that summarizes a video from the video itself — visual frames and audio — using TwelveLabs' Pegasus video-understanding model, instead of only the caption transcript.
Why this helps
The current pipeline summarizes the Supadata caption transcript. That misses everything the captions don't carry: on-screen text and code in tutorials, product demos, sports, music videos, or any clip with sparse/auto-generated captions. Pegasus reads the actual video, so the summary reflects what's shown, not just what's said. The README already noted "more providers planned" — this slots in alongside that.
What it adds
lib/twelvelabs.ts— a per-user client factory mirroringlib/glm.ts, plus the index → upload → analyze flow. Reuses (or creates) a single Pegasus-enabled index per user.POST /api/summarize— a new optional request fieldsource: "video". When set (and a TwelveLabs key is configured), the route summarizes the full video with Pegasus. Defaultsource: "transcript"is unchanged.twelvelabswired into key validation (/api/setup/test-key), save, delete, and listing, exactly like the existingsupadata/zaiproviders. It shows up in the Settings > API Keys list automatically.lib/llmChain.ts— Pegasus surfaced viagetAvailableModels; the text fallback chain is untouched (Pegasus is a video path, not a text LLM).Opt-in and non-breaking
Nothing changes unless a client passes
source: "video"and the user has added a TwelveLabs key. The transcript pipeline, defaults, and existing tests are unaffected. Pegasus summaries returnhasTimestamps: falseand no timeline topics — the same shape the transcript path already produces when timestamps aren't available.How it was tested
npx jest __tests__/lib/twelvelabs.test.ts— 6 passing no-network unit tests (SDK mocked) covering configured/unconfigured, index reuse vs. creation, the analyze call shape, and indexing failure.npm run build— compiles + passes TypeScript + generates all pages.eslintclean on all changed files.indexes.listcall the test-key route uses) returned 200. Full end-to-end index+analyze on a real video is slow (a few minutes to index), so that part is wiring-verified rather than run in CI.You can grab a free API key at https://twelvelabs.io — there's a generous free tier.