06ad1a7546
<!-- CURSOR_SUMMARY --> > [!NOTE] > Introduce a new "deep" Smart Context mode that supplies versioned files (by commit) to the engine, adds code search rendering, stores source commit hashes, improves search-replace recovery, and updates UI/tests. > > - **Smart Context (deep)**: > - Replace `conservative` with `deep`; limit context to ~200 turns; send `sourceCommitHash` per message. > - Build and pass `versioned_files` (hash-id map + per-message file refs) and `app_id` to engine. > - **DB**: > - Add `messages.source_commit_hash` (+ migration/snapshot). > - **Engine/Processing**: > - Retry Turbo Edits v2: first re-read then fallback to `dyad-write` if search-replace fails. > - Include provider options and versioned files in requests; add `getCurrentCommitHash`/`getFileAtCommit`. > - **UI**: > - Pro mode selector: new `deep` option; tooltips polish. > - Add `DyadCodeSearch` and `DyadCodeSearchResult` components; parser supports new tags. > - **Tests/E2E**: > - New `smart_context_deep` e2e; update snapshots to include `app_id` and deep mode; adjust Playwright timeout. > - Unit tests for versioned codebase context. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit e3d3bffabb2bc6caf52103461f9d6f2d5ad39df8. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY -->
Fake LLM Server
A simple server that mimics the OpenAI streaming chat completions API for testing purposes.
Features
- Implements a basic version of the OpenAI chat completions API
- Supports both streaming and non-streaming responses
- Always responds with "hello world" message
- Simulates a 429 rate limit error when the last message is "[429]"
- Configurable through environment variables
Installation
npm install
Usage
Start the server:
# Development mode
npm run dev
# Production mode
npm run build
npm start
Example usage
curl -X POST http://localhost:3500/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"messages":[{"role":"user","content":"Say something"}],"model":"any-model","stream":true}'
The server will be available at http://localhost:3500 by default.
API Endpoints
POST /v1/chat/completions
This endpoint mimics OpenAI's chat completions API.
Request Format
{
"messages": [{ "role": "user", "content": "Your prompt here" }],
"model": "any-model",
"stream": true
}
- Set
stream: trueto receive a streaming response - Set
stream: falseor omit it for a regular JSON response
Response
For non-streaming requests, you'll get a standard JSON response:
{
"id": "chatcmpl-123456789",
"object": "chat.completion",
"created": 1699000000,
"model": "fake-model",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "hello world"
},
"finish_reason": "stop"
}
]
}
For streaming requests, you'll receive a series of server-sent events (SSE), each containing a chunk of the response.
Simulating Rate Limit Errors
To test how your application handles rate limiting, send a message with content exactly equal to [429]:
{
"messages": [{ "role": "user", "content": "[429]" }],
"model": "any-model"
}
This will return a 429 status code with the following response:
{
"error": {
"message": "Too many requests. Please try again later.",
"type": "rate_limit_error",
"param": null,
"code": "rate_limit_exceeded"
}
}
Configuration
You can configure the server by modifying the PORT variable in the code.
Use Case
This server is primarily intended for testing applications that integrate with OpenAI's API, allowing you to develop and test without making actual API calls to OpenAI.