Will Chen 6235f7bb9d Summarize chat trigger (#1890)
<!-- CURSOR_SUMMARY -->
> [!NOTE]
> Adds a context-limit banner with one-click “summarize into new chat,”
refactors token counting with react-query, and persists per-message max
token usage.
> 
> - **Chat UX**
> - **Context limit banner** (`ContextLimitBanner.tsx`,
`MessagesList.tsx`): shows when within 40k tokens of `contextWindow`,
with tooltip and action to summarize into a new chat.
> - **Summarize flow**: extracted to `useSummarizeInNewChat` and used in
chat input and banner; new summarize system prompt
(`summarize_chat_system_prompt.ts`).
> - **Token usage & counting**
> - **Persist max tokens used per assistant message**: DB migration
(`messages.max_tokens_used`), schema updates, and saving usage during
streaming (`chat_stream_handlers.ts`).
> - **Token counting refactor** (`useCountTokens.ts`): react-query with
debounce; returns `estimatedTotalTokens` and `actualMaxTokens`;
invalidated on model change and stream end; `TokenBar` updated.
> - **Surfacing usage**: tooltip on latest assistant message shows total
tokens (`ChatMessage.tsx`).
> - **Model/config tweaks**
> - Set `auto` model `contextWindow` to `200_000`
(`language_model_constants.ts`).
>   - Improve chat auto-scroll dependency (`ChatPanel.tsx`).
>   - Fix app path validation regex (`app_handlers.ts`).
> - **Testing & dev server**
> - E2E tests for banner and summarize
(`e2e-tests/context_limit_banner.spec.ts` + fixtures/snapshot).
> - Fake LLM server streams usage to simulate high token scenarios
(`testing/fake-llm-server/*`).
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
2ae16a14d50699cc772407426419192c2fdf2ec3. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->













<!-- This is an auto-generated description by cubic. -->
---
## Summary by cubic
Adds a “Summarize into new chat” trigger and a context limit banner to
help keep conversations focused and avoid hitting model limits. Also
tracks and surfaces actual token usage per assistant message, with a
token counting refactor for reliability.

- **New Features**
- Summarize into new chat from the input or banner; improved system
prompt with clear output format.
- Context limit banner shows when within 40k tokens of the model’s
context window and offers a one-click summarize action.
  - Tooltip on the latest assistant message shows total tokens used.

- **Refactors**
- Token counting now uses react-query and returns estimatedTotalTokens
and actualMaxTokens; counts are invalidated on model change and when
streaming settles.
- Persist per-message max_tokens_used in the messages table; backend
aggregates model usage during streaming and saves it.
- Adjusted default “Auto” model contextWindow to 200k for more realistic
limits.
- Improved chat scrolling while streaming; fixed app path validation
regex.

<sup>Written for commit 2ae16a14d50699cc772407426419192c2fdf2ec3.
Summary will update automatically on new commits.</sup>

<!-- End of auto-generated description by cubic. -->
2025-12-04 23:00:28 -08:00
2025-10-23 15:18:37 -07:00
2025-09-16 22:51:46 -07:00
2025-08-22 22:51:16 -07:00
2025-12-04 23:00:28 -08:00
2025-12-04 23:00:28 -08:00
2025-06-11 13:05:27 -07:00
2025-07-23 21:02:43 -07:00
2025-12-04 23:00:28 -08:00
2025-12-04 23:00:28 -08:00
2025-04-14 23:56:11 -07:00
2025-04-11 09:38:16 -07:00
2025-04-11 09:38:16 -07:00
2025-10-28 11:36:20 -07:00
2025-05-06 23:02:28 -07:00
2025-10-30 11:27:31 -07:00
2025-05-06 23:02:28 -07:00
2025-04-11 10:21:05 -07:00
2025-04-11 09:38:16 -07:00
2025-05-27 15:59:13 -07:00
2025-10-28 11:36:20 -07:00
2025-08-14 13:48:27 -07:00
2025-04-11 09:38:16 -07:00
2025-04-11 09:38:16 -07:00
2025-04-11 09:38:16 -07:00

Dyad

Dyad is a local, open-source AI app builder. It's fast, private, and fully under your control — like Lovable, v0, or Bolt, but running right on your machine.

Image

More info at: https://dyad.sh/

🚀 Features

  • Local: Fast, private and no lock-in.
  • 🛠 Bring your own keys: Use your own AI API keys — no vendor lock-in.
  • 🖥️ Cross-platform: Easy to run on Mac or Windows.

📦 Download

No sign-up required. Just download and go.

👉 Download for your platform

🤝 Community

Join our growing community of AI app builders on Reddit: r/dyadbuilders - share your projects and get help from the community!

🛠️ Contributing

Dyad is open-source (Apache 2.0 licensed).

If you're interested in contributing to dyad, please read our contributing doc.

License

Description
No description provided
Readme Apache-2.0 27 MiB
Languages
TypeScript 97.4%
JavaScript 1.6%
CSS 0.6%
Shell 0.2%