Commit History
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fix(agent): default back to gpt-oss-120b, pin Llama 3.3 to Together
Groq (HF Router's :fastest pick for Llama 3.3 70B) validates tool calls very strictly and was rejecting the editor's 18-tool registry with "Failed to call a function. Please adjust your prompt." Fireworks has deprecated the Llama 3.3 checkpoint; Nscale doesn't support the `tools` parameter at all. Together serves the same model with full tool-calling support, so pin Llama 3.3 to `:together`. Restore openai/gpt-oss-120b as the default - it's HF's trending tool-calling model and the reasoning-strip fix already covers the Cerebras round-trip case. Co-authored-by: Cursor <cursoragent@cursor.com>3afbbdf -
fix(agent): strip reasoning_content from history, default to Llama 3.3 70B
Reasoning models (gpt-oss-*, DeepSeek R1, ...) emit a `reasoning` UI part alongside their text answer. The AI SDK persists those parts and on the next turn round-trips them as `reasoning_content` on the assistant message - which some HF Inference Providers (notably Cerebras, the default for gpt-oss) reject with 400 wrong_api_format. The model doesn't need to see its own prior reasoning to keep the conversation going, so filter those parts out before convertToModelMessages. While we're at it, swap the default model from gpt-oss-120b to meta-llama/Llama-3.3-70B-Instruct: it doesn't emit reasoning, works across every provider exposing it, and is a more conservative starting point for first-time forkers. Co-authored-by: Cursor <cursoragent@cursor.com>e9c2c73 -
feat(agent): switch AI backend from OpenRouter to HF Inference Providers
The chat panel and embed studio now call Hugging Face Inference Providers (OpenAI-compatible router at https://router.huggingface.co/v1) via @ai-sdk/openai-compatible, using the logged-in editor's OAuth token when available and falling back to HF_TOKEN. Forking the Space no longer requires wiring an OpenRouter API key - the user's own HF token funds their own inference. - Replace @openrouter/ai-sdk-provider with @ai-sdk/openai-compatible - Forward the OAuth cookie token per request, fallback to HF_TOKEN - Refresh AVAILABLE_MODELS to HF-served, tool-calling-capable models (gpt-oss 120B/20B, Llama 3.3 70B, Qwen3 Coder 480B, DeepSeek V3.1) - Add inference-api to hf_oauth_scopes and document the new env vars (HF_INFERENCE_MODEL, expanded HF_TOKEN role) in README + SPECIFICATION - Update agent-chat tests to expect the new "Hugging Face token" error Co-authored-by: Cursor <cursoragent@cursor.com>6b6afea
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chore(release): prep v0.1.0 with LICENSE, env example and agent undo test
- Add LICENSE (CC-BY 4.0) aligned with the upstream research-article-template - Complete backend/.env.example to cover every env var consumed by the backend (PORT, DATA_DIR, ENABLE_PDF, OAUTH_*, SPACE_ID/SPACE_HOST, HF_DATASET_ID, HF_TOKEN, OPENROUTER_API_KEY/MODEL, PUBLISH_BASE_URL) - Extract createAgentBatch() helper from useAgentChat into frontend/src/editor/agent-undo-batch.ts (pure module, no React) and add the P0 5.3.1 test from docs/TESTS.md: 3 chained agent edits (replaceSelection + applyDiff + updateFrontmatter style) revert with a single Cmd+Z, while the previous user edit stays untouched - Refresh README known-debt list to reflect the new coverage Made-with: Cursord63dcfe
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refactor(backend): modular server split with new routes, persistence and agent layer
- Introduce create-app factory to compose routes, middleware and Hocuspocus in isolation - Extract route modules (auth, chat, publish) and move storage logic into persistence.ts - Harden auth + HF storage integration (user token fallback, secure cookie in production) - Add embed studio AI pipeline (embed-chat, embed-tools, system prompt) and shared stream handler - Cover the new surface with api-routes, persistence and agent-chat test suites - Ship .env.example and .gitignore so new contributors can boot without guesswork Made-with: Cursorf6678ab