dtoro
78faca9968
The dock now talks to a real LLM. On first load it asks Socrates for an
opening turn that's grounded in the project's actual SysML model + active
validation issues. User replies and option-picks send turns through the
same channel. Thread + every message persist in SQLite so refresh keeps
the conversation.
apps/web/lib/llm
- gateway.ts: LLMGateway interface (chat + ChatOptions). Two adapters:
- lmstudio: OpenAI SDK against LMSTUDIO_BASE_URL (default
http://localhost:1234/v1)
- anthropic: @anthropic-ai/sdk against claude-sonnet-4-6 (set
ANTHROPIC_API_KEY when LLM_PROVIDER=anthropic)
Provider chosen via LLM_PROVIDER env (default: lmstudio).
- chatJSON(): JSON-mode helper with parse-error repair-retry — the same
defensive pattern proven against gemma-4-e4b in Phase 0.
- prompts.ts: server-only loader that caches .md prompts.
- prompts/socrates/character.md + review.md: ported verbatim from
phase-0/src/prompts/ (Phase 0 corpus validated these 10/10).
- socrates.ts: sendUserTurn() — builds the system prompt (character +
review + project context with trimmed model + active issues), runs
chatJSON against the gateway, persists user + assistant turns,
returns the structured turn. SocratesTurn schema is { text, options? }
with up to 3 numbered options matching the prototype.
apps/web/prisma
- SocratesThread + SocratesMessage tables. Auto-create one open thread
per project on first load.
apps/web/app/api/projects/[projectId]/socrates
- GET: returns active thread + parsed messages.
- POST: body { text }. Empty text triggers an opening turn. Persists user
+ assistant turns, returns assistant turn + provider metadata.
apps/web/components/socrates/SocratesDock.tsx
- Replaces the static thread prop with a projectId. Loads from API on
mount, auto-triggers an opening turn if the thread is empty, sends
user replies via POST. Numbered options click-to-pick or 1–3 keyboard
shortcut (skipped when focus is in an input). Status line shows the
active provider + model. Optimistic-local: user message appears
instantly, "thinking…" placeholder shows while the LLM works, errors
surface inline.
apps/web/.env.example + .env.local
- LLM_PROVIDER, LMSTUDIO_BASE_URL/MODEL/API_KEY, ANTHROPIC_API_KEY/MODEL.
- .env.local committed only with the local default (no real secrets);
user supplies their own per-machine.
What's not yet here (next iterations):
- Streaming responses (currently waits for full response, ~5-15s)
- Multi-thread switcher (one auto-thread per project)
- Socrates-proposes-ops flow (M7)
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.