mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
b64358df7e
* ensure function aproval is parsed correctly * udpate ui, add deployment guide button, other debug panel fixes * feat(devui): Implement lazy loading architecture with enhanced security and state management Major architectural improvements to DevUI for better performance, security, and developer experience: Performance & Architecture: - Implement lazy loading for entity discovery - entities loaded on-demand instead of at startup - Add hot reload capability for development workflow via new reload endpoint - Reduce startup time and memory footprint by deferring module imports Security Enhancements: - Remove remote entity loading capabilities (POST /v1/entities/add, DELETE endpoints) - DevUI now strictly local development tool - no remote code execution - Add explicit security documentation and best practices in README Frontend Improvements: - Migrate to Zustand for centralized state management (replacing prop drilling) - Add lightweight zero-dependency markdown renderer with code block copy support - Improve gallery UX with setup instructions modal instead of direct URL loading - Enhanced message UI with copy functionality and better token usage display Testing & Quality: - Expand test coverage for lazy loading, type detection, and cache invalidation - Add comprehensive tests for new behaviors (+231 lines of test code) - Improve type safety and documentation throughout Breaking Changes: - Remote entity loading via URLs is no longer supported - Entities must be loaded from local filesystem only * update ui issues, uupdate test descripion
165 lines
4.4 KiB
Markdown
165 lines
4.4 KiB
Markdown
# Testing DevUI - Quick Setup Guide
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Here are the step-by-step instructions to test the new DevUI feature:
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## 1. Get the Code
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```bash
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git clone https://github.com/microsoft/agent-framework.git
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cd agent-framework
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```
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## 2. Setup Environment
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Navigate to the Python directory and install dependencies:
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```bash
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cd python
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uv sync --dev
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source .venv/bin/activate
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```
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## 3. Configure Environment Variables
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Create a `.env` file in the `python/` directory with your API credentials:
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```bash
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# Copy the example file
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cp .env.example .env
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```
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Then edit `.env` and add your API keys:
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```bash
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# For OpenAI (minimum required)
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OPENAI_API_KEY="your-api-key-here"
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OPENAI_CHAT_MODEL_ID="gpt-4o-mini"
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# Or for Azure OpenAI
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AZURE_OPENAI_ENDPOINT="your-endpoint"
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AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="your-deployment-name"
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```
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## 4. Test DevUI
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**Option A: In-Memory Mode (Recommended for quick testing)**
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```bash
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cd samples/getting_started/devui
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python in_memory_mode.py
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```
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This runs a simple example with predefined agents and opens your browser automatically at http://localhost:8090
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**Option B: Directory-Based Discovery**
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```bash
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cd samples/getting_started/devui
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devui
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```
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This launches the UI with all example agents/workflows at http://localhost:8080
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## 5. What You'll See
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- A web interface for testing agents interactively
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- Multiple example agents (weather assistant, general assistant, etc.)
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- OpenAI-compatible API endpoints for programmatic access
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## 6. API Testing (Optional)
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You can also test via API calls:
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### Single Request
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```bash
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curl -X POST http://localhost:8080/v1/responses \
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-H "Content-Type: application/json" \
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-d '{
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"model": "weather_agent",
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"input": "What is the weather in Seattle?"
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}'
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```
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### Multi-turn Conversations
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```bash
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# Create a conversation
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curl -X POST http://localhost:8080/v1/conversations \
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-H "Content-Type: application/json" \
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-d '{"metadata": {"agent_id": "weather_agent"}}'
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# Returns: {"id": "conv_abc123", ...}
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# Use conversation ID in requests
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curl -X POST http://localhost:8080/v1/responses \
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-H "Content-Type: application/json" \
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-d '{
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"model": "weather_agent",
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"input": "What is the weather in Seattle?",
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"conversation": "conv_abc123"
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}'
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# Continue the conversation
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curl -X POST http://localhost:8080/v1/responses \
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-H "Content-Type: application/json" \
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-d '{
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"model": "weather_agent",
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"input": "How about tomorrow?",
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"conversation": "conv_abc123"
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}'
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```
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## API Mapping
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Agent Framework content types → OpenAI Responses API events (in `_mapper.py`):
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| Agent Framework Content | OpenAI Event | Status |
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| ------------------------------- | ---------------------------------------- | -------- |
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| `TextContent` | `response.output_text.delta` | Standard |
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| `TextReasoningContent` | `response.reasoning.delta` | Standard |
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| `FunctionCallContent` (initial) | `response.output_item.added` | Standard |
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| `FunctionCallContent` (args) | `response.function_call_arguments.delta` | Standard |
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| `FunctionResultContent` | `response.function_result.complete` | DevUI |
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| `ErrorContent` | `response.error` | Standard |
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| `UsageContent` | `response.usage.complete` | Extended |
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| `WorkflowEvent` | `response.workflow.event` | DevUI |
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| `DataContent`, `UriContent` | `response.trace.complete` | DevUI |
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- **Standard** = OpenAI spec, **Extended** = OpenAI + extra fields, **DevUI** = DevUI-specific
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## Frontend Development
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```bash
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cd python/packages/devui/frontend
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yarn install
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# Development (hot reload)
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yarn dev
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# Build (copies to backend ui/)
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yarn build
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```
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## Running Tests
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```bash
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cd python/packages/devui
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# All tests
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pytest tests/ -v
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# Specific suites
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pytest tests/test_conversations.py -v # Conversation store
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pytest tests/test_server.py -v # API endpoints
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pytest tests/test_mapper.py -v # Event mapping
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```
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## Troubleshooting
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- **Missing API key**: Make sure your `.env` file is in the `python/` directory with valid credentials. Or set environment variables directly in your shell before running DevUI.
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- **Import errors**: Run `uv sync --dev` again to ensure all dependencies are installed
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- **Port conflicts**: DevUI uses ports 8080 and 8090 by default - close other services using these ports
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Let me know if you run into any issues!
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