- All of
bun fmt,bun lint, andbun typecheckmust pass before considering tasks completed. - Treat
bun fmt,bun lint, andbun typecheckas heavyweight workspace checks: bundle them into one final verification pass per task whenever possible, and avoid rerunning the full set repeatedly during iteration. - If a user asks for a small follow-up right after a recent full verification pass, prefer no rerun or the smallest reasonable re-check unless the user explicitly asks for full validation again.
- NEVER run
bun test. Always usebun run test(runs Vitest).
Synara is a minimal web GUI for using coding agents. It is multi-provider: ProviderKind currently spans 9 providers — Codex, Claude (claudeAgent), Cursor, Antigravity, Grok, Factory Droid (droid), Kilo, OpenCode, and Pi. Each provider has its own model options and capabilities (reasoning effort, thinking budget/level, context window, fast mode), defined in packages/contracts and resolved in packages/shared/src/model.ts.
Codex was the first integration and remains the most fleshed-out reference (see the Codex App Server section), but Synara is not Codex-only.
This repository is a VERY EARLY WIP. Proposing sweeping changes that improve long-term maintainability is encouraged.
- Performance first.
- Reliability first.
- Keep behavior predictable under load and during failures (session restarts, reconnects, partial streams).
If a tradeoff is required, choose correctness and robustness over short-term convenience.
Rankings, higher = better. Cost reflects what I actually pay (OpenAI is near-free for me due to a deal), not list price. Intelligence is how hard a problem you can hand the model unsupervised. Taste covers UI/UX, code quality, API design, and copy.
| model | cost | intelligence | taste |
|---|---|---|---|
| gpt-5.6-sol | 9 | 8 | 5 |
| sonnet-5 | 5 | 5 | 7 |
| opus-4.8 | 4 | 7 | 8 |
| fable-5 | 2 | 9 | 9 |
How to apply:
- These are defaults, not limits. You have standing permission to override them: if a cheaper model's output doesn't meet the bar, rerun or redo the work with a smarter model without asking. Judge the output, not the price tag. Escalating costs less than shipping mediocre work.
- Cost is a tie-breaker only; when axes conflict for anything that ships, intelligence > taste > cost.
- Don't let cost prevent you from using the right model for the job. Instead, take advantage of cheaper options to get more information and try things before moving the work to a more expensive option.
- Bulk/mechanical work (clear-spec implementation, data analysis, migrations): gpt-5.6-sol — it's effectively free.
- Anything user-facing (UI, copy, API design) needs taste ≥ 7.
- Reviews of plans/implementations: fable-5 or opus-4.8, optionally gpt-5.6-sol as an extra independent perspective.
- Never use Haiku.
- Mechanics: gpt-5.6-sol is only reachable through the Codex CLI —
codex exec/codex review(my~/.codex/config.tomldefaults to gpt-5.6-sol). Use the codex-implementation, codex-review, and codex-computer-use skills; for work they don't cover (investigation, data analysis), runcodex exec -s read-onlydirectly with a self-contained prompt. - Claude models (sonnet-5, opus-4.8, fable-5) run via the Agent/Workflow model parameter.
Using gpt-5.5 inside workflows and subagents (the model parameter only takes Claude models, so use a wrapper):
- Spawn a thin Claude wrapper agent with
model: 'sonnet', effort: 'low'whose prompt instructs it to write a self-contained codex prompt, runcodex execvia Bash, and return the report (useschemaon the wrapper to get structured output back). - Always label these agents with a
gpt-5.6-sol:prefix, e.g.{label: 'gpt-5.6-sol:review-auth'}— the workflow UI shows the wrapper's Claude model, so the label is the only indication the real worker is gpt-5.6-sol. - Codex runs can exceed Bash's 10-minute timeout: pass an explicit timeout, or run in the background and poll for the report file.
- Parallel gpt-5.6-sol implementation agents must use
isolation: 'worktree'so codex edits don't collide in the shared checkout. - Workflow token budgets only count Claude tokens; codex work is free and invisible to
budget.spent().
gpt-5.6-sol is exceptionally capable on long-running tasks. Give it substantial, multi-step work when it is the right model for the job; do not split work up merely because it is large.
- The quality of the result depends on the prompt. Provide a detailed, self-contained brief: goal, relevant context, constraints, files or systems in scope, expected deliverables, and how to verify completion.
- State important decisions and non-negotiable requirements explicitly. Do not assume the model will infer project-specific conventions or the desired tradeoffs from a short prompt.
- For long tasks, ask it to inspect the current state first, execute the work end to end, and report the changes, verification, and any remaining risks.
- If the work can safely run in parallel, keep each task's ownership and worktree boundaries explicit so agents do not overlap.
Long term maintainability is a core priority. If you add new functionality, first check if there is shared logic that can be extracted to a separate module. Duplicate logic across multiple files is a code smell and should be avoided. Don't be afraid to change existing code. Don't take shortcuts by just adding local logic to solve a problem.
Any UI element with an open/close toggle (expand/collapse, show/hide, disclosure) MUST reuse the shared disclosure motion in apps/web/src/lib/disclosureMotion.ts. Never write bespoke height/opacity transitions or one-off @keyframes for a toggle — use the same logic and the same functions everywhere so every toggle feels identical (220ms ease-out, with motion-reduce fallbacks).
- Shell + content (used by open/close project, sidebar sections, composer suggestions):
disclosureShellClassName(open)on the grid shell,DISCLOSURE_INNER_CLASSon the inner wrapper,disclosureContentClassName(open)on the content — or the ready-madeDisclosureRegioncomponent (apps/web/src/components/ui/DisclosureRegion.tsx). - Base UI
<Collapsible>panels: wrap withCollapsiblePanel(apps/web/src/components/ui/collapsible.tsx), which appliesDISCLOSURE_COLLAPSIBLE_PANEL_CLASS. - Rotating chevron affordance:
DisclosureChevron/disclosureChevronClassName(open).
Reference usage: opening/closing a project and the sidebar sections in apps/web/src/components/Sidebar.tsx. If you find a toggle that animates differently, migrate it to this module rather than duplicating logic.
apps/server: Node.js WebSocket server. Wraps Codex app-server (JSON-RPC over stdio), serves the React web app, and manages provider sessions.apps/web: React/Vite UI. Owns session UX, conversation/event rendering, and client-side state. Connects to the server via WebSocket.packages/contracts: Shared effect/Schema schemas and TypeScript contracts for provider events, WebSocket protocol, and model/session types. Keep this package schema-only — no runtime logic.packages/shared: Shared runtime utilities consumed by both server and web. Uses explicit subpath exports (e.g.@synara/shared/git) — no barrel index.
Codex was the first provider integration and is the most complete reference for how a provider session works end to end. For Codex sessions, the server starts codex app-server (JSON-RPC over stdio) per session, then streams structured events to the browser through WebSocket push messages. Other providers follow the same dispatch/event-projection shape but plug in their own runtimes.
How we use it in this codebase:
- Session startup/resume and turn lifecycle are brokered in
apps/server/src/codexAppServerManager.ts. - Provider dispatch and thread event logging are coordinated in
apps/server/src/providerManager.ts. - WebSocket server routes NativeApi methods in
apps/server/src/wsServer.ts. - Web app consumes orchestration domain events via WebSocket push on channel
orchestration.domainEvent(provider runtime activity is projected into orchestration events server-side).
Docs:
- Codex App Server docs: https://developers.openai.com/codex/sdk/#app-server
- Open-source Codex repo: https://github.com/openai/codex
- Codex-Monitor (Tauri, feature-complete, strong reference implementation): https://github.com/Dimillian/CodexMonitor
Use these as implementation references when designing protocol handling, UX flows, and operational safeguards.