[Feature Request]: Docs for https://github.com/block/goose (draft)

## Overview
Create a sample agent implementation using Goose AI Agent Framework with support for both OpenAI-compatible endpoints and A2A (Agent-to-Agent) integration, following the established pattern from CrewAI and LangChain agent implementations.

## Agent Specifications

### **Agent Details**
- **Name**: `goose-agent`
- **Framework**: [Goose AI Agent](https://block.github.io/goose/)
- **Location**: `agent_runtimes/goose_agent/`
- **Language**: Python 3.11+
- **Purpose**: Demonstrate AI-powered developer tooling and automation via Goose framework

### **Goose Framework Features**
- **Developer-Focused**: Specialized for software development workflows
- **Tool Integration**: Native support for development tools and APIs
- **Code Understanding**: Advanced code analysis and generation capabilities
- **Automation**: Intelligent automation of development tasks
- **Extensible**: Plugin architecture for custom tooling

### **Integration Patterns**

#### OpenAI-Compatible Endpoint Integration
```python
# OpenAI API endpoint integration
POST /openai/v1/chat/completions
Content-Type: application/json
Authorization: Bearer ${OPENAI_API_KEY}

{
  "model": "gpt-4",
  "messages": [
    {"role": "user", "content": "Analyze this codebase and suggest improvements using Goose"}
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "goose_code_analysis",
        "description": "AI-powered code analysis and improvement suggestions",
        "parameters": {
          "type": "object",
          "properties": {
            "repository_path": {"type": "string"},
            "analysis_type": {"type": "string"},
            "language": {"type": "string"}
          }
        }
      }
    }
  ]
}
```

#### A2A (Agent-to-Agent) Integration
```python
# A2A endpoint integration
POST /a2a/v1/agents/{agent_id}/invoke
Content-Type: application/json
Authorization: Bearer ${A2A_API_KEY}

{
  "agent_id": "goose-developer-agent",
  "input": {
    "task": "Code review and optimization",
    "repository": "https://github.com/example/project",
    "focus_areas": ["performance", "security", "maintainability"]
  },
  "context": {
    "session_id": "session-123",
    "user_id": "developer-456"
  }
}
```

### **Agent Capabilities**

#### 1. Code Analysis and Generation
- **Static Analysis**: Code quality, security, and performance analysis
- **Code Generation**: Intelligent code completion and generation
- **Refactoring**: Automated code refactoring and optimization
- **Documentation**: Automatic documentation generation

#### 2. Development Workflow Automation
- **CI/CD Integration**: Automated testing and deployment workflows
- **Issue Resolution**: Intelligent bug detection and fixing
- **Code Review**: Automated code review and suggestions
- **Project Management**: Task automation and project tracking

#### 3. Developer Productivity Tools
- **IDE Integration**: Support for popular development environments
- **Git Operations**: Intelligent version control operations
- **Testing**: Automated test generation and execution
- **Debugging**: AI-assisted debugging and troubleshooting

### **Implementation Requirements**

#### Directory Structure
```
agent_runtimes/goose_agent/
├── src/
│   ├── __init__.py
│   ├── main.py                    # Main agent runtime
│   ├── goose_integration/
│   │   ├── __init__.py
│   │   ├── goose_client.py       # Goose framework integration
│   │   ├── developer_agent.py    # Core developer agent
│   │   └── workflow_engine.py    # Development workflow automation
│   ├── tools/
│   │   ├── __init__.py
│   │   ├── code_analyzer.py      # Code analysis tools
│   │   ├── git_operations.py     # Git integration tools
│   │   ├── ci_cd_tools.py        # CI/CD automation
│   │   └── testing_tools.py      # Testing automation
│   ├── endpoints/
│   │   ├── __init__.py
│   │   ├── openai_handler.py     # OpenAI-compatible endpoint
│   │   └── a2a_handler.py        # A2A endpoint integration
│   ├── workflows/
│   │   ├── __init__.py
│   │   ├── code_review.py        # Code review workflow
│   │   ├── bug_fixing.py         # Bug fixing workflow
│   │   └── feature_development.py # Feature development workflow
│   └── utils/
│       ├── __init__.py
│       ├── config.py            # Configuration management
│       └── monitoring.py        # Agent monitoring and metrics
├── tests/
│   ├── unit/
│   ├── integration/
│   └── e2e/
├── config/
│   ├── agent_config.yaml
│   ├── tools_config.yaml
│   └── workflow_config.yaml
├── requirements.txt
├── requirements-dev.txt
├── README.md
├── Dockerfile
├── docker-compose.yml
└── examples/
    ├── code_analysis_example.py
    ├── automated_review.py
    └── workflow_automation.py
```

#### Core Dependencies
```python
# requirements.txt
# Goose Framework
goose-ai>=0.1.0  # or latest version

# Core dependencies
fastapi>=0.104.0
uvicorn>=0.24.0
pydantic>=2.5.0
httpx>=0.25.0
aiofiles>=23.2.0

# Development tools integration
gitpython>=3.1.40
pygit2>=1.13.0
ast-decompiler>=0.7.0
autopep8>=2.0.0
black>=23.11.0
isort>=5.12.0
mypy>=1.7.0

# Code analysis
pylint>=3.0.0
flake8>=6.1.0
bandit>=1.7.5
safety>=2.3.5

# OpenAI compatibility
openai>=1.3.0
tiktoken>=0.5.0

# MCP integration
mcp>=1.0.0

# Monitoring and observability
prometheus-client>=0.19.0
structlog>=23.2.0
```

### **Configuration**

#### Agent Configuration
```yaml
# config/agent_config.yaml
goose:
  framework_version: "latest"
  developer_mode: true
  auto_tools: true
  
agent:
  name: "goose-developer"
  specialization: "software_development"
  model: "gpt-4"
  temperature: 0.1
  max_tokens: 4096
  
capabilities:
  code_analysis:
    enabled: true
    languages: ["python", "javascript", "typescript", "go", "rust", "java"]
    static_analysis: true
    security_scanning: true
    
  code_generation:
    enabled: true
    auto_complete: true
    refactoring: true
    documentation: true
    
  workflow_automation:
    enabled: true
    ci_cd_integration: true
    testing: true
    deployment: true

tools:
  git:
    enabled: true
    auto_commit: false
    branch_management: true
    
  ide_integration:
    vscode: true
    jetbrains: true
    vim: true
    
  testing:
    unit_tests: true
    integration_tests: true
    e2e_tests: true
    coverage_reporting: true
```

#### Workflow Configuration
```yaml
# config/workflow_config.yaml
workflows:
  code_review:
    triggers: ["pull_request", "manual"]
    steps:
      - static_analysis
      - security_scan
      - performance_check
      - style_check
    auto_approve_threshold: 0.9
    
  bug_fixing:
    triggers: ["issue_created", "bug_report"]
    steps:
      - issue_analysis
      - root_cause_analysis
      - fix_generation
      - test_generation
      - validation
    
  feature_development:
    triggers: ["feature_request", "manual"]
    steps:
      - requirement_analysis
      - design_planning
      - code_generation
      - testing
      - documentation

integration:
  github:
    enabled: true
    webhook_url: "/webhooks/github"
    token: "${GITHUB_TOKEN}"
    
  gitlab:
    enabled: false
    url: "${GITLAB_URL}"
    token: "${GITLAB_TOKEN}"
    
  jira:
    enabled: true
    url: "${JIRA_URL}"
    credentials: "${JIRA_CREDENTIALS}"
```

### **Goose Framework Integration**

#### Core Agent Implementation
```python
# Goose framework integration
from goose.agent import GooseAgent
from goose.tools import CodeAnalyzer, GitTool, TestRunner

class GooseDeveloperAgent(GooseAgent):
    def __init__(self, config: Dict[str, Any]):
        super().__init__(config)
        self.code_analyzer = CodeAnalyzer()
        self.git_tool = GitTool()
        self.test_runner = TestRunner()
    
    async def analyze_codebase(self, repository_path: str) -> Dict[str, Any]:
        """Comprehensive codebase analysis"""
        analysis_results = {
            "code_quality": await self.code_analyzer.analyze_quality(repository_path),
            "security_issues": await self.code_analyzer.security_scan(repository_path),
            "performance_metrics": await self.code_analyzer.performance_analysis(repository_path),
            "test_coverage": await self.test_runner.coverage_report(repository_path)
        }
        
        return analysis_results
    
    async def generate_fix(self, issue: Dict[str, Any]) -> str:
        """Generate code fix for identified issues"""
        fix_code = await self.generate_code(
            problem_description=issue["description"],
            context=issue["context"],
            language=issue["language"]
        )
        
        return fix_code
```

#### Workflow Engine
```python
class GooseWorkflowEngine:
    def __init__(self, agent: GooseDeveloperAgent):
        self.agent = agent
        self.workflows = {}
    
    async def execute_code_review_workflow(self, pr_data: Dict[str, Any]) -> Dict[str, Any]:
        """Execute automated code review workflow"""
        
        # Step 1: Analyze changes
        changes_analysis = await self.agent.analyze_changes(pr_data["diff"])
        
        # Step 2: Security scan
        security_results = await self.agent.security_scan(pr_data["files"])
        
        # Step 3: Performance analysis
        performance_results = await self.agent.performance_check(pr_data["files"])
        
        # Step 4: Generate recommendations
        recommendations = await self.agent.generate_recommendations(
            changes_analysis, security_results, performance_results
        )
        
        return {
            "analysis": changes_analysis,
            "security": security_results,
            "performance": performance_results,
            "recommendations": recommendations,
            "approval_score": self._calculate_approval_score(recommendations)
        }
```

### **OpenAI Integration**

#### Chat Completions Handler
```python
@app.post("/openai/v1/chat/completions")
async def chat_completions(request: ChatCompletionRequest):
    """OpenAI-compatible chat completions endpoint"""
    
    # Extract development task from request
    task = extract_development_task(request)
    
    # Execute Goose workflow
    results = await goose_agent.execute_task(
        task=task,
        tools=determine_required_tools(request),
        context=extract_context(request)
    )
    
    # Format response in OpenAI format
    return ChatCompletionResponse(
        choices=[
            Choice(
                message=ChatMessage(
                    role="assistant",
                    content=results["response"],
                    tool_calls=format_tool_calls(results["tool_usage"])
                )
            )
        ]
    )
```

### **A2A Integration**

#### Agent Invocation Handler
```python
@app.post("/a2a/v1/agents/{agent_id}/invoke")
async def invoke_agent(agent_id: str, request: A2AInvokeRequest):
    """A2A agent invocation endpoint"""
    
    # Parse development task
    task = request.input.get("task")
    repository = request.input.get("repository")
    
    # Execute Goose development workflow
    results = await goose_agent.execute_development_workflow(
        task=task,
        repository=repository,
        context=request.context
    )
    
    return A2AResponse(
        agent_id=agent_id,
        output={
            "result": results["output"],
            "code_changes": results.get("code_changes", []),
            "test_results": results.get("test_results", {}),
            "recommendations": results.get("recommendations", [])
        },
        metadata={
            "execution_time": results["execution_time"],
            "tools_used": results["tools_used"],
            "workflow_type": results["workflow_type"]
        }
    )
```

### **Development Workflows**

#### Automated Code Review
```python
class CodeReviewWorkflow:
    async def execute(self, pull_request: Dict[str, Any]) -> Dict[str, Any]:
        # Analyze code changes
        analysis = await goose_agent.analyze_code_changes(
            diff=pull_request["diff"],
            files=pull_request["files"]
        )
        
        # Run automated tests
        test_results = await goose_agent.run_tests(
            repository=pull_request["repository"],
            branch=pull_request["branch"]
        )
        
        # Generate review comments
        review_comments = await goose_agent.generate_review_comments(
            analysis=analysis,
            test_results=test_results
        )
        
        return {
            "analysis": analysis,
            "test_results": test_results,
            "review_comments": review_comments,
            "approval_recommendation": analysis["approval_score"] > 0.8
        }
```

#### Bug Fixing Workflow
```python
class BugFixingWorkflow:
    async def execute(self, issue: Dict[str, Any]) -> Dict[str, Any]:
        # Analyze the bug report
        bug_analysis = await goose_agent.analyze_bug(issue["description"])
        
        # Generate potential fixes
        fixes = await goose_agent.generate_fixes(bug_analysis)
        
        # Validate fixes with tests
        validated_fixes = []
        for fix in fixes:
            test_results = await goose_agent.test_fix(fix)
            if test_results["passed"]:
                validated_fixes.append(fix)
        
        return {
            "bug_analysis": bug_analysis,
            "proposed_fixes": validated_fixes,
            "test_results": test_results
        }
```

### **Advanced Features**

#### IDE Integration
- **VS Code Extension**: Native VS Code integration
- **JetBrains Plugin**: IntelliJ IDEA and PyCharm support
- **Vim Plugin**: Command-line editor integration
- **Web Interface**: Browser-based development environment

#### CI/CD Integration
- **GitHub Actions**: Automated workflow triggers
- **GitLab CI**: Pipeline integration
- **Jenkins**: Build automation
- **Custom Webhooks**: Integration with any CI/CD system

#### Code Quality Tools
- **Static Analysis**: Comprehensive code quality checks
- **Security Scanning**: Vulnerability detection
- **Performance Profiling**: Performance bottleneck identification
- **Test Coverage**: Automated test coverage analysis

### **Testing Strategy**

#### Integration Tests
```python
# Test OpenAI endpoint
async def test_openai_code_analysis():
    client = AsyncOpenAI(base_url="http://localhost:8001/openai/v1")
    
    response = await client.chat.completions.create(
        model="goose-developer",
        messages=[{"role": "user", "content": "Review this Python code for issues"}],
        tools=[{"type": "function", "function": {"name": "analyze_code"}}]
    )
    
    assert "code_quality" in response.choices[0].message.content

# Test A2A endpoint
async def test_a2a_bug_fixing():
    response = await httpx.post(
        "http://localhost:8002/a2a/v1/agents/goose-developer/invoke",
        json={
            "input": {
                "task": "Fix performance issue in database queries",
                "repository": "https://github.com/test/repo"
            },
            "context": {"priority": "high"}
        }
    )
    
    assert response.status_code == 200
    assert "proposed_fixes" in response.json()["output"]
```

## Acceptance Criteria
- [ ] Python agent runtime using Goose AI Agent framework
- [ ] OpenAI-compatible endpoint (/openai/v1/chat/completions)
- [ ] A2A endpoint integration (/a2a/v1/agents/{agent_id}/invoke)
- [ ] Code analysis and generation capabilities
- [ ] Development workflow automation (code review, bug fixing, feature development)
- [ ] Git and version control integration
- [ ] CI/CD pipeline integration
- [ ] IDE integration support
- [ ] Automated testing and coverage reporting
- [ ] Security scanning and vulnerability detection
- [ ] Docker containerization support
- [ ] Integration tests for both endpoint types
- [ ] Performance monitoring and observability
- [ ] Complete documentation with development workflow examples

## Priority
High - Demonstrates AI-powered developer productivity tooling

## Dependencies
- Goose AI Agent framework
- Git integration libraries (GitPython, pygit2)
- Code analysis tools (pylint, flake8, bandit)
- FastAPI for endpoint implementation
- OpenAI client compatibility

## Use Cases
- Automated code review and analysis
- Intelligent bug detection and fixing
- AI-assisted feature development
- Code quality improvement automation
- Development workflow optimization
- CI/CD pipeline enhancement
- Developer productivity acceleration
- Technical debt management

[Feature Request]: Docs for https://github.com/block/goose (draft) #565

Description

Overview

Agent Specifications

Agent Details

Goose Framework Features

Integration Patterns

OpenAI-Compatible Endpoint Integration

A2A (Agent-to-Agent) Integration

Agent Capabilities

1. Code Analysis and Generation

2. Development Workflow Automation

3. Developer Productivity Tools

Implementation Requirements

Directory Structure

Core Dependencies

Configuration

Agent Configuration

Workflow Configuration

Goose Framework Integration

Core Agent Implementation

Workflow Engine

OpenAI Integration

Chat Completions Handler

A2A Integration

Agent Invocation Handler

Development Workflows

Automated Code Review

Bug Fixing Workflow

Advanced Features

IDE Integration

CI/CD Integration

Code Quality Tools

Testing Strategy

Integration Tests

Acceptance Criteria

Priority

Dependencies

Use Cases

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions