test-copilot-pipe

name	test-copilot-pipe
description	Automotive deployment and testing of GitHub Copilot SDK Pipe plugin for frontend/backend status stability.

🤖 Skill: Test Copilot Pipe

This is a universal testing framework for publishing the latest github_copilot_sdk.py (Pipe) code to a local OpenWebUI instance and verifying it via an automated agent (browser_subagent).

🎯 Core Principles

• Fixed Infrastructure: The deployment script and the test entry URL are always static.
• Dynamic Test Planning: Specific test prompts and expectations (acceptance criteria) must be dynamically planned by you based on the code changes or specific user requests before execution.

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🛠️ Static Environment Info

Attribute	Fixed Value
Deployment Script	/Users/fujie/app/python/oui/openwebui-extensions/scripts/deploy_pipe.py
Python Path	/opt/homebrew/Caskroom/miniconda/base/envs/ai/bin/python3
Test URL	http://localhost:3003/?model=github_copilot_official_sdk_pipe.github_copilot_sdk-gpt-4.1

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📋 Standard Workflow

Step 1: Analyze Changes & Plan Test (Plan)

Before triggering the test, you must define the purpose of this test turn. Example: Modified tool calling logic -> Test prompt should trigger a specific tool; observe if the tool executes and returns the correct result.

Step 2: Deploy Latest Code (Deploy)

Use the run_command tool to execute the fixed update task:

/opt/homebrew/Caskroom/miniconda/base/envs/ai/bin/python3 /Users/fujie/app/python/oui/openwebui-extensions/scripts/deploy_pipe.py

Mechanism: deploy_pipe.py automatically loads the API Key from scripts/.env in the same directory. Verification: Look for ✅ Successfully updated... version X.X.X or ✅ Successfully created.... If a 401 error occurs, remind the user to generate a new API Key in OpenWebUI and update .env.

Step 3: Verify via Browser Subagent (Verify)

Use the browser_subagent tool. You must fill in the [Dynamic Content] slots based on Step 1:

Task:
1. Access The Fixed URL: http://localhost:3003/?model=github_copilot_official_sdk_pipe.github_copilot_sdk-gpt-4.1
2. RELIABILITY WAIT: Wait until the page fully loads. Wait until the chat input text area (`#chat-input`) is present in the DOM.
3. ACTION - FAST INPUT: Use the `execute_browser_javascript` tool to instantly inject the query and submit it. Use exactly this script format to ensure stability:
   `const input = document.getElementById('chat-input'); input.value = "[YOUR_DYNAMIC_TEST_PROMPT]"; input.dispatchEvent(new Event('input', { bubbles: true })); const e = new KeyboardEvent('keydown', { key: 'Enter', code: 'Enter', keyCode: 13, which: 13, bubbles: true }); input.dispatchEvent(e);`
4. WAITING: Wait patiently for the streaming response to stop completely. You should wait for the Stop button to disappear, or wait for the system to settle (approximately 10-15 seconds depending on the query).
5. CHECK THE OUTCOME: [List the phenomena you expect to see, e.g., status bar shows specific text, tool card appears, result contains specific keywords, etc.]
6. CAPTURE: Take a screenshot of the settled state to prove the outcome.
7. REPORT: Report the EXACT outcome matching the criteria from step 5.

Step 4: Evaluate & Iterate (Evaluate)

• PASS: Screenshot and phenomena match expectations. Report success to the user.
• FAIL: Analyze the issue based on screenshots/logs (e.g., race condition reappeared, API error). Modify the code and re-run the entire skill workflow.