diff --git a/EXGENTIC_A2A_RUNNER_PLAN.md b/EXGENTIC_A2A_RUNNER_PLAN.md new file mode 100644 index 0000000..a0f1551 --- /dev/null +++ b/EXGENTIC_A2A_RUNNER_PLAN.md @@ -0,0 +1,315 @@ +# Exgentic A2A Runner - Implementation Plan + +## Overview + +Create a test harness called `exgentic_a2a_runner` that integrates Exgentic benchmarks with Kagenti agents using the A2A protocol. This harness will follow the execution model defined in [GitHub Issue #963](https://github.com/kagenti/kagenti/issues/963). + +## Architecture + +### High-Level Flow + +``` +┌─────────────────────────────────────────────────────────────────┐ +│ Exgentic A2A Runner │ +│ │ +│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │ +│ │ Runner │───▶│ Exgentic │───▶│ MCP Client │ │ +│ │ │ │ Adapter │ │ │ │ +│ └──────────────┘ └──────────────┘ └──────────────┘ │ +│ │ │ │ │ +│ │ │ ▼ │ +│ │ │ ┌──────────────┐ │ +│ │ │ │ Exgentic MCP │ │ +│ │ │ │ Server │ │ +│ │ │ └──────────────┘ │ +│ │ │ │ +│ ▼ ▼ │ +│ ┌──────────────┐ ┌──────────────┐ │ +│ │ A2A Client │ │ Prompt │ │ +│ │ │ │ Builder │ │ +│ └──────────────┘ └──────────────┘ │ +│ │ │ +│ ▼ │ +│ ┌──────────────┐ │ +│ │ Kagenti Agent│ │ +│ │ (via A2A) │ │ +│ └──────────────┘ │ +└─────────────────────────────────────────────────────────────────┘ +``` + +### Execution Model (from Issue #963) + +For each task: +1. **Create Session**: `(session_id, task) = benchmark_mcp.call("create_session")` +2. **Record Start Time**: `startTime = time()` +3. **Invoke Agent**: `agent.invoke_agent("{task}. Use session id {session_id} in all accesses")` +4. **Record Completion Time**: `completionTime = time() - startTime` +5. **Evaluate Session**: `success = benchmark_mcp.call("evaluate_session", {"session_id": session_id})` +6. **Store Statistics**: `stats[session_id] = (completion_time, success)` +7. **Close Session**: `benchmark_mcp.call("close_session", {"session_id": session_id})` + +## Directory Structure + +``` +exgentic_a2a_runner/ +├── pyproject.toml # Project configuration and dependencies +├── README.md # Documentation +├── example.env # Example environment configuration +├── .gitignore # Git ignore patterns +└── exgentic_a2a_runner/ + ├── __init__.py # Package initialization + ├── runner.py # Main orchestration logic + ├── config.py # Configuration management + ├── exgentic_adapter.py # Exgentic MCP server adapter + ├── mcp_client.py # MCP protocol client + ├── a2a_client.py # A2A protocol client (reused from appworld) + ├── prompt.py # Prompt construction + └── otel.py # OpenTelemetry instrumentation +``` + +## Component Details + +### 1. Configuration (`config.py`) + +**ExgenticConfig** +- `mcp_server_url`: URL of the Exgentic MCP server (required) +- `mcp_timeout_seconds`: Timeout for MCP operations (default: 60) +- `max_tasks`: Maximum number of tasks to process (optional) +- `abort_on_failure`: Stop on first failure (default: false) + +**A2AConfig** (reused from appworld_a2a_runner) +- `base_url`: A2A endpoint base URL +- `timeout_seconds`: Request timeout +- `auth_token`: Bearer token for authentication +- `verify_tls`: TLS verification flag +- `endpoint_path`: Endpoint path + +**OTELConfig** (reused from appworld_a2a_runner) +- Standard OpenTelemetry configuration + +**DebugConfig** (reused from appworld_a2a_runner) +- `log_prompt`: Log prompt details +- `log_response`: Log response details + +### 2. MCP Client (`mcp_client.py`) + +Uses the official MCP Python SDK to communicate with the Exgentic MCP server. + +**Key Methods:** +- `create_session() -> (session_id: str, task: str)`: Create a new benchmark session +- `evaluate_session(session_id: str) -> bool`: Evaluate session success +- `close_session(session_id: str) -> None`: Close and cleanup session + +**Implementation Notes:** +- Use `mcp` Python package for MCP protocol communication +- Handle connection lifecycle properly +- Implement proper error handling and timeouts +- Support both stdio and SSE transport modes + +### 3. Exgentic Adapter (`exgentic_adapter.py`) + +Provides high-level interface to Exgentic MCP server operations. + +**SessionData Class:** +```python +class SessionData: + session_id: str + task: str + created_at: float +``` + +**ExgenticAdapter Class:** +- `initialize()`: Initialize MCP client connection +- `create_session() -> SessionData`: Create new session and get task +- `evaluate_session(session_id: str) -> bool`: Evaluate session +- `close_session(session_id: str)`: Close session +- `iterate_sessions()`: Iterator for sequential session processing + +### 4. Prompt Builder (`prompt.py`) + +Constructs prompts that include the session_id for the agent. + +**Format:** +``` +The task you are to complete is: +{task} + +IMPORTANT: Use session id "{session_id}" in all your interactions with the benchmark tools. +``` + +### 5. A2A Client (`a2a_client.py`) + +Reuse the existing implementation from `appworld_a2a_runner` with minimal modifications. + +### 6. Runner (`runner.py`) + +Main orchestration logic following the execution model. + +**SessionResult Class:** +```python +class SessionResult: + session_id: str + success: bool + latency_ms: float + error: Optional[str] + response_chars: Optional[int] +``` + +**Runner Class:** +- `initialize()`: Initialize all components +- `process_session(session_data: SessionData) -> SessionResult`: Process single session +- `run() -> int`: Main execution loop + +**Process Flow:** +```python +def process_session(session_data): + start_time = time.time() + + # Build prompt with session_id + prompt = build_prompt(session_data.task, session_data.session_id) + + # Send to agent via A2A + response = a2a_client.send_prompt(prompt) + + # Evaluate session + success = exgentic_adapter.evaluate_session(session_data.session_id) + + # Close session + exgentic_adapter.close_session(session_data.session_id) + + completion_time = time.time() - start_time + + return SessionResult( + session_id=session_data.session_id, + success=success, + latency_ms=completion_time * 1000, + response_chars=len(response) + ) +``` + +### 7. OpenTelemetry Instrumentation (`otel.py`) + +Extended from appworld_a2a_runner with additional metrics. + +**Additional Spans:** +- `exgentic_a2a.session`: Overall session processing +- `exgentic_a2a.mcp.create_session`: Session creation +- `exgentic_a2a.mcp.evaluate_session`: Session evaluation +- `exgentic_a2a.mcp.close_session`: Session cleanup + +**Additional Attributes:** +- `exgentic.session_id`: Session identifier +- `exgentic.mcp_server_url`: MCP server URL +- `exgentic.evaluation_result`: Success/failure of evaluation + +**Additional Metrics:** +- `exgentic_a2a_sessions_total{status=success|failed}`: Total sessions processed +- `exgentic_a2a_session_latency_ms`: End-to-end session latency +- `exgentic_a2a_evaluation_latency_ms`: Evaluation operation latency +- `exgentic_a2a_session_creation_latency_ms`: Session creation latency + +## Configuration Files + +### pyproject.toml + +```toml +[project] +name = "exgentic-a2a-runner" +version = "0.1.0" +description = "Exgentic Benchmark A2A Runner for Kagenti" +requires-python = ">=3.11" +dependencies = [ + "mcp>=0.9.0", + "requests>=2.28.0", + "opentelemetry-api>=1.20.0", + "opentelemetry-sdk>=1.20.0", + "opentelemetry-exporter-otlp>=1.20.0", + "opentelemetry-instrumentation-requests>=0.41b0", +] + +[project.scripts] +exgentic-a2a-runner = "exgentic_a2a_runner.runner:main" +``` + +### example.env + +```bash +# REQUIRED CONFIGURATION +EXGENTIC_MCP_SERVER_URL=http://localhost:3000 +A2A_BASE_URL=http://localhost:8000 + +# OPTIONAL CONFIGURATION +EXGENTIC_MCP_TIMEOUT_SECONDS=60 +MAX_TASKS=10 +ABORT_ON_FAILURE=false + +# A2A Configuration +A2A_TIMEOUT_SECONDS=300 +A2A_AUTH_TOKEN= +A2A_VERIFY_TLS=true +A2A_ENDPOINT_PATH=/v1/chat + +# OpenTelemetry Configuration +OTEL_SERVICE_NAME=exgentic-a2a-runner +OTEL_EXPORTER_OTLP_ENDPOINT= +OTEL_EXPORTER_OTLP_PROTOCOL=grpc +OTEL_INSTRUMENT_REQUESTS=true + +# Debug Configuration +LOG_PROMPT=0 +LOG_RESPONSE=0 +``` + +## Key Differences from AppWorld Runner + +1. **MCP Integration**: Uses MCP protocol instead of direct AppWorld API calls +2. **Session Management**: Explicit session lifecycle (create → use → evaluate → close) +3. **Task Source**: Tasks come from MCP server's `create_session` call, not from dataset enumeration +4. **Evaluation**: Uses MCP server's `evaluate_session` instead of AppWorld's evaluation system +5. **Prompt Format**: Includes session_id in the prompt for agent to use +6. **Dependencies**: Adds MCP Python SDK, removes AppWorld package + +## Implementation Phases + +### Phase 1: Core Structure ✓ +- [x] Create directory structure +- [x] Set up configuration management +- [x] Create basic project files (pyproject.toml, README.md, example.env) + +### Phase 2: MCP Integration +- [ ] Implement MCPClient using official MCP SDK +- [ ] Implement ExgenticAdapter with session lifecycle +- [ ] Add proper error handling and timeouts + +### Phase 3: Runner Logic +- [ ] Implement main Runner class +- [ ] Implement session processing flow +- [ ] Add summary statistics and reporting + +### Phase 4: Integration +- [ ] Reuse/adapt A2A client from appworld_a2a_runner +- [ ] Implement prompt builder with session_id +- [ ] Add OpenTelemetry instrumentation + +### Phase 5: Testing & Documentation +- [ ] Test with actual Exgentic MCP server +- [ ] Complete README with usage examples +- [ ] Add error handling and edge cases + +## Success Criteria + +1. ✅ Sequential execution of benchmark tasks via MCP server +2. ✅ Proper session lifecycle management (create → evaluate → close) +3. ✅ Integration with Kagenti agents via A2A protocol +4. ✅ Session_id included in prompts for agent use +5. ✅ Comprehensive OpenTelemetry instrumentation +6. ✅ Configuration via environment variables +7. ✅ Summary statistics and reporting +8. ✅ Proper error handling and logging + +## Next Steps + +1. Review and approve this plan +2. Switch to Code mode to implement the solution +3. Test with actual Exgentic MCP server and Kagenti agent +4. Iterate based on testing results \ No newline at end of file diff --git a/EXGENTIC_ARCHITECTURE.md b/EXGENTIC_ARCHITECTURE.md new file mode 100644 index 0000000..50b4050 --- /dev/null +++ b/EXGENTIC_ARCHITECTURE.md @@ -0,0 +1,211 @@ +# Exgentic A2A Runner - Architecture Diagram + +## System Architecture + +```mermaid +graph TB + subgraph "Exgentic A2A Runner" + Runner[Runner
Main Orchestrator] + ExgenticAdapter[Exgentic Adapter
Session Management] + MCPClient[MCP Client
MCP Protocol] + A2AClient[A2A Client
A2A Protocol] + PromptBuilder[Prompt Builder
Task Formatting] + OTEL[OTEL Instrumentation
Telemetry] + Config[Configuration
Environment Variables] + end + + subgraph "External Services" + ExgenticMCP[Exgentic MCP Server
Benchmark Provider] + KagentiAgent[Kagenti Agent
A2A Endpoint] + OTELCollector[OTEL Collector
Telemetry Backend] + end + + Runner --> Config + Runner --> ExgenticAdapter + Runner --> A2AClient + Runner --> PromptBuilder + Runner --> OTEL + + ExgenticAdapter --> MCPClient + MCPClient --> ExgenticMCP + A2AClient --> KagentiAgent + OTEL --> OTELCollector + + style Runner fill:#e1f5ff + style ExgenticAdapter fill:#fff4e1 + style MCPClient fill:#ffe1f5 + style A2AClient fill:#e1ffe1 + style ExgenticMCP fill:#ffcccc + style KagentiAgent fill:#ccffcc +``` + +## Sequence Diagram - Session Processing + +```mermaid +sequenceDiagram + participant Runner + participant ExgenticAdapter + participant MCPClient + participant ExgenticMCP + participant PromptBuilder + participant A2AClient + participant KagentiAgent + participant OTEL + + Runner->>OTEL: Start session span + Runner->>ExgenticAdapter: create_session() + ExgenticAdapter->>MCPClient: call_tool("create_session") + MCPClient->>ExgenticMCP: MCP Request: create_session + ExgenticMCP-->>MCPClient: {session_id, task} + MCPClient-->>ExgenticAdapter: SessionData + ExgenticAdapter-->>Runner: SessionData(session_id, task) + + Runner->>PromptBuilder: build_prompt(task, session_id) + PromptBuilder-->>Runner: formatted_prompt + + Runner->>A2AClient: send_prompt(prompt) + A2AClient->>KagentiAgent: A2A Request + KagentiAgent-->>A2AClient: Response + A2AClient-->>Runner: response_text + + Runner->>ExgenticAdapter: evaluate_session(session_id) + ExgenticAdapter->>MCPClient: call_tool("evaluate_session", {session_id}) + MCPClient->>ExgenticMCP: MCP Request: evaluate_session + ExgenticMCP-->>MCPClient: {success: true/false} + MCPClient-->>ExgenticAdapter: evaluation_result + ExgenticAdapter-->>Runner: success + + Runner->>ExgenticAdapter: close_session(session_id) + ExgenticAdapter->>MCPClient: call_tool("close_session", {session_id}) + MCPClient->>ExgenticMCP: MCP Request: close_session + ExgenticMCP-->>MCPClient: OK + MCPClient-->>ExgenticAdapter: closed + ExgenticAdapter-->>Runner: done + + Runner->>OTEL: Record metrics & end span +``` + +## Component Interaction Flow + +```mermaid +flowchart LR + A[Start] --> B[Load Config] + B --> C[Initialize Components] + C --> D{More Tasks?} + D -->|Yes| E[Create Session] + E --> F[Get Task & Session ID] + F --> G[Build Prompt with Session ID] + G --> H[Send to Agent via A2A] + H --> I[Wait for Response] + I --> J[Evaluate Session] + J --> K[Close Session] + K --> L[Record Statistics] + L --> D + D -->|No| M[Print Summary] + M --> N[Shutdown OTEL] + N --> O[End] + + style E fill:#ffe1e1 + style J fill:#e1ffe1 + style K fill:#e1e1ff +``` + +## Data Flow + +```mermaid +graph LR + subgraph "Input" + ENV[Environment Variables] + end + + subgraph "Processing" + CONFIG[Configuration] + SESSION[Session Data] + PROMPT[Formatted Prompt] + RESPONSE[Agent Response] + EVAL[Evaluation Result] + end + + subgraph "Output" + STATS[Statistics] + TELEMETRY[Telemetry Data] + SUMMARY[Console Summary] + end + + ENV --> CONFIG + CONFIG --> SESSION + SESSION --> PROMPT + PROMPT --> RESPONSE + RESPONSE --> EVAL + EVAL --> STATS + STATS --> SUMMARY + STATS --> TELEMETRY +``` + +## Key Design Decisions + +### 1. MCP Client Implementation +- **Decision**: Use official MCP Python SDK +- **Rationale**: Avoid reinventing the wheel, leverage maintained library +- **Trade-off**: Additional dependency vs. implementation effort + +### 2. Session Lifecycle +- **Decision**: Explicit create → evaluate → close pattern +- **Rationale**: Matches Exgentic MCP server design, clear resource management +- **Trade-off**: More API calls vs. cleaner separation of concerns + +### 3. Sequential Execution +- **Decision**: Process one session at a time (MVP) +- **Rationale**: Simpler implementation, easier debugging, matches appworld_a2a_runner +- **Future**: Can add parallel execution later + +### 4. Prompt Format +- **Decision**: Include session_id explicitly in prompt +- **Rationale**: Agent needs to know which session to use for tool calls +- **Format**: Clear instruction to use session_id in all interactions + +### 5. Configuration +- **Decision**: Environment variables for all configuration +- **Rationale**: Matches appworld_a2a_runner pattern, easy deployment +- **Trade-off**: No config file support vs. simplicity + +## Error Handling Strategy + +```mermaid +graph TD + A[Operation] --> B{Success?} + B -->|Yes| C[Continue] + B -->|No| D{Retry?} + D -->|Yes| E[Retry with Backoff] + E --> A + D -->|No| F[Log Error] + F --> G[Record Failure Metric] + G --> H{Abort on Failure?} + H -->|Yes| I[Exit] + H -->|No| J[Continue Next Task] +``` + +## Telemetry Strategy + +### Spans Hierarchy +``` +exgentic_a2a.session +├── exgentic_a2a.mcp.create_session +├── exgentic_a2a.prompt.build +├── exgentic_a2a.a2a.send_prompt +│ └── HTTP spans (auto-instrumented) +├── exgentic_a2a.mcp.evaluate_session +└── exgentic_a2a.mcp.close_session +``` + +### Metrics +- **Counters**: sessions_total, errors_total +- **Histograms**: session_latency_ms, evaluation_latency_ms, creation_latency_ms +- **Gauges**: inflight_sessions + +### Attributes +- `exgentic.session_id` +- `exgentic.mcp_server_url` +- `exgentic.evaluation_result` +- `a2a.base_url` +- `task.status` \ No newline at end of file diff --git a/IMPLEMENTATION_SUMMARY.md b/IMPLEMENTATION_SUMMARY.md new file mode 100644 index 0000000..7c94ec2 --- /dev/null +++ b/IMPLEMENTATION_SUMMARY.md @@ -0,0 +1,284 @@ +# Exgentic A2A Runner - Implementation Summary + +## Project Overview + +The `exgentic_a2a_runner` is a test harness that integrates Exgentic benchmarks with Kagenti agents using the A2A protocol. It follows the execution model defined in [GitHub Issue #963](https://github.com/kagenti/kagenti/issues/963). + +## What We're Building + +A standalone Python runner that: +1. Connects to an Exgentic MCP server to get benchmark tasks +2. Creates isolated sessions for each task +3. Sends tasks to Kagenti agents via A2A protocol +4. Evaluates agent performance using the MCP server +5. Collects comprehensive telemetry data +6. Provides detailed statistics and reporting + +## Key Design Principles + +### 1. **Modular Architecture** +- Clear separation of concerns (MCP, A2A, OTEL, Config) +- Reusable components from `appworld_a2a_runner` +- Easy to test and maintain + +### 2. **Sequential Execution (MVP)** +- One session at a time for simplicity +- Easier debugging and monitoring +- Can be extended to parallel execution later + +### 3. **Explicit Session Lifecycle** +``` +CREATE → USE → EVALUATE → CLOSE +``` + +### 4. **Configuration-Driven** +- All settings via environment variables +- No code changes needed for different deployments +- Easy integration with CI/CD + +### 5. **Comprehensive Observability** +- OpenTelemetry for traces, metrics, and logs +- Detailed session-level tracking +- Performance analytics + +## File Structure + +``` +exgentic_a2a_runner/ +├── pyproject.toml # Dependencies: mcp, requests, opentelemetry +├── README.md # User documentation +├── example.env # Configuration template +├── .gitignore # Git ignore patterns +└── exgentic_a2a_runner/ + ├── __init__.py # Package init + ├── config.py # Config classes (ExgenticConfig, A2AConfig, etc.) + ├── mcp_client.py # MCP SDK wrapper + ├── exgentic_adapter.py # Session lifecycle management + ├── a2a_client.py # A2A protocol client (from appworld) + ├── prompt.py # Prompt builder with session_id + ├── otel.py # OpenTelemetry instrumentation + └── runner.py # Main orchestration logic +``` + +## Core Components + +### 1. MCPClient (`mcp_client.py`) +**Purpose**: Communicate with Exgentic MCP server using official SDK + +**Key Methods**: +- `initialize()`: Connect to MCP server +- `call_tool(name, arguments)`: Generic tool invocation +- `create_session()`: Create new benchmark session +- `evaluate_session(session_id)`: Evaluate session success +- `close_session(session_id)`: Cleanup session +- `shutdown()`: Close connection + +### 2. ExgenticAdapter (`exgentic_adapter.py`) +**Purpose**: High-level interface to Exgentic operations + +**Key Methods**: +- `initialize()`: Setup MCP client +- `create_session() -> SessionData`: Create and return session info +- `evaluate_session(session_id) -> bool`: Get evaluation result +- `close_session(session_id)`: Close session +- `iterate_sessions()`: Iterator for sequential processing + +**SessionData Class**: +```python +@dataclass +class SessionData: + session_id: str + task: str + created_at: float +``` + +### 3. Prompt Builder (`prompt.py`) +**Purpose**: Format tasks with session_id for agent + +**Format**: +``` +The task you are to complete is: +{task} + +IMPORTANT: Use session id "{session_id}" in all your interactions with the benchmark tools. +``` + +### 4. Runner (`runner.py`) +**Purpose**: Main orchestration following execution model + +**Process Flow**: +```python +for session_data in exgentic_adapter.iterate_sessions(): + start_time = time.time() + + # Build prompt with session_id + prompt = build_prompt(session_data.task, session_data.session_id) + + # Send to agent + response = a2a_client.send_prompt(prompt) + + # Evaluate + success = exgentic_adapter.evaluate_session(session_data.session_id) + + # Close + exgentic_adapter.close_session(session_data.session_id) + + # Record stats + completion_time = time.time() - start_time + stats[session_id] = (completion_time, success) +``` + +## Configuration + +### Required Environment Variables +```bash +EXGENTIC_MCP_SERVER_URL=http://localhost:3000 # MCP server endpoint +A2A_BASE_URL=http://localhost:8000 # Kagenti agent endpoint +``` + +### Optional Environment Variables +```bash +# Exgentic Configuration +EXGENTIC_MCP_TIMEOUT_SECONDS=60 +MAX_TASKS=10 +ABORT_ON_FAILURE=false + +# A2A Configuration +A2A_TIMEOUT_SECONDS=300 +A2A_AUTH_TOKEN= +A2A_VERIFY_TLS=true +A2A_ENDPOINT_PATH=/v1/chat + +# OpenTelemetry +OTEL_SERVICE_NAME=exgentic-a2a-runner +OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 +OTEL_EXPORTER_OTLP_PROTOCOL=grpc + +# Debug +LOG_PROMPT=0 +LOG_RESPONSE=0 +``` + +## Dependencies + +```toml +dependencies = [ + "mcp>=0.9.0", # MCP protocol + "requests>=2.28.0", # HTTP client + "opentelemetry-api>=1.20.0", # OTEL API + "opentelemetry-sdk>=1.20.0", # OTEL SDK + "opentelemetry-exporter-otlp>=1.20.0", # OTEL exporter + "opentelemetry-instrumentation-requests>=0.41b0", # HTTP instrumentation +] +``` + +## Telemetry + +### Traces +- `exgentic_a2a.session`: Overall session processing +- `exgentic_a2a.mcp.create_session`: Session creation +- `exgentic_a2a.prompt.build`: Prompt construction +- `exgentic_a2a.a2a.send_prompt`: Agent invocation +- `exgentic_a2a.mcp.evaluate_session`: Evaluation +- `exgentic_a2a.mcp.close_session`: Cleanup + +### Metrics +- `exgentic_a2a_sessions_total{status=success|failed}` +- `exgentic_a2a_session_latency_ms` +- `exgentic_a2a_evaluation_latency_ms` +- `exgentic_a2a_session_creation_latency_ms` +- `exgentic_a2a_inflight_sessions` + +### Attributes +- `exgentic.session_id` +- `exgentic.mcp_server_url` +- `exgentic.evaluation_result` +- `a2a.base_url` +- `task.status` + +## Usage + +```bash +# Install +cd exgentic_a2a_runner +uv sync --python 3.12 +source .venv/bin/activate + +# Configure +cp example.env .env +# Edit .env with your settings + +# Run +uv run exgentic-a2a-runner +``` + +## Output + +### Console Summary +``` +============================================================ +RUN SUMMARY +============================================================ +Sessions Attempted: 100 +Sessions Succeeded: 95 +Sessions Failed: 5 +Total Wall Time: 1234.56s +Average Latency: 12345.67ms +P50 Latency: 10000.00ms +P95 Latency: 20000.00ms +Success Rate: 95.00% +============================================================ +``` + +## Differences from AppWorld Runner + +| Aspect | AppWorld Runner | Exgentic Runner | +|--------|----------------|-----------------| +| **Task Source** | AppWorld dataset enumeration | MCP server `create_session` | +| **Protocol** | Direct AppWorld API | MCP protocol | +| **Session Management** | Implicit (AppWorld context) | Explicit (create/close) | +| **Evaluation** | AppWorld evaluation system | MCP `evaluate_session` | +| **Prompt Format** | Task + supervisor + apps | Task + session_id | +| **Dependencies** | `appworld` package | `mcp` package | + +## Implementation Checklist + +- [x] Architecture design +- [x] Component specifications +- [x] Configuration design +- [x] Telemetry design +- [ ] Create directory structure +- [ ] Implement MCPClient +- [ ] Implement ExgenticAdapter +- [ ] Implement prompt builder +- [ ] Implement Runner +- [ ] Reuse/adapt A2A client +- [ ] Add OTEL instrumentation +- [ ] Create configuration files +- [ ] Write README +- [ ] Test with real services + +## Next Steps + +1. **Review & Approve Plan**: Ensure design meets requirements +2. **Switch to Code Mode**: Begin implementation +3. **Implement Core Components**: MCPClient, ExgenticAdapter, Runner +4. **Add Telemetry**: OTEL instrumentation +5. **Create Documentation**: README, examples +6. **Test Integration**: With real Exgentic MCP server and Kagenti agent +7. **Iterate**: Based on testing feedback + +## Success Criteria + +✅ Sequential execution of benchmark tasks via MCP server +✅ Proper session lifecycle management (create → evaluate → close) +✅ Integration with Kagenti agents via A2A protocol +✅ Session_id included in prompts for agent use +✅ Comprehensive OpenTelemetry instrumentation +✅ Configuration via environment variables +✅ Summary statistics and reporting +✅ Proper error handling and logging + +## Questions? + +If you have any questions or need clarification on any aspect of the design, please ask before we proceed to implementation! \ No newline at end of file diff --git a/exgentic_a2a_runner/.gitignore b/exgentic_a2a_runner/.gitignore new file mode 100644 index 0000000..017fe58 --- /dev/null +++ b/exgentic_a2a_runner/.gitignore @@ -0,0 +1,47 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +*.egg-info/ +.installed.cfg +*.egg + +# Virtual environments +venv/ +env/ +ENV/ +.venv + +# IDE +.vscode/ +.idea/ +*.swp +*.swo +*~ + +# Environment +.env +.env.local + +# Testing +.pytest_cache/ +.coverage +htmlcov/ + +# OS +.DS_Store +Thumbs.db \ No newline at end of file diff --git a/exgentic_a2a_runner/IMPLEMENTATION_CHECKLIST.md b/exgentic_a2a_runner/IMPLEMENTATION_CHECKLIST.md new file mode 100644 index 0000000..b885dde --- /dev/null +++ b/exgentic_a2a_runner/IMPLEMENTATION_CHECKLIST.md @@ -0,0 +1,208 @@ +# Exgentic A2A Runner - Implementation Checklist + +## ✅ Completed Components + +### Core Structure +- [x] Directory structure created (`exgentic_a2a_runner/exgentic_a2a_runner/`) +- [x] Package initialization (`__init__.py`) +- [x] Project configuration (`pyproject.toml`) +- [x] Environment configuration (`example.env`) +- [x] Git ignore patterns (`.gitignore`) +- [x] Comprehensive documentation (`README.md`) + +### Configuration Management (`config.py`) +- [x] `ExgenticConfig` class with MCP server settings +- [x] `A2AConfig` class for agent endpoint settings +- [x] `OTELConfig` class for telemetry settings +- [x] `DebugConfig` class for logging settings +- [x] `Config` class aggregating all configurations +- [x] Environment variable parsing with defaults +- [x] Validation of required settings + +### MCP Integration (`mcp_client.py`) +- [x] `MCPClient` class using official MCP SDK +- [x] Async initialization with MCP server +- [x] `create_session()` method returning (session_id, task) +- [x] `evaluate_session(session_id)` method returning success boolean +- [x] `close_session(session_id)` method for cleanup +- [x] Generic `call_tool()` method for MCP operations +- [x] Proper error handling and logging +- [x] Graceful shutdown + +### Exgentic Adapter (`exgentic_adapter.py`) +- [x] `ExgenticAdapter` class wrapping MCP client +- [x] `SessionData` dataclass for session information +- [x] Synchronous wrapper around async MCP operations +- [x] `create_session()` returning SessionData +- [x] `evaluate_session()` for session evaluation +- [x] `close_session()` for cleanup +- [x] `iterate_sessions()` generator for sequential processing +- [x] Session counter and max_tasks limit support +- [x] Proper initialization and shutdown + +### A2A Client (`a2a_client.py`) +- [x] Copied from `appworld_a2a_runner` +- [x] `A2AProxyClient` class for agent communication +- [x] Agent card discovery +- [x] JSON-RPC protocol implementation +- [x] Message sending and task polling +- [x] Response extraction from messages and tasks +- [x] Timeout and error handling + +### Prompt Builder (`prompt.py`) +- [x] `build_prompt()` function +- [x] Includes task description +- [x] Includes session_id with clear instructions +- [x] Emphasizes importance of using session_id in tool calls + +### OpenTelemetry Instrumentation (`otel.py`) +- [x] `OTELInstrumentation` class +- [x] Trace provider initialization +- [x] Metric provider initialization +- [x] `session_span()` context manager for session tracking +- [x] `child_span()` for nested operations +- [x] Session-specific metrics: + - [x] `exgentic_a2a_sessions_total` counter + - [x] `exgentic_a2a_session_latency_ms` histogram + - [x] `exgentic_a2a_evaluation_latency_ms` histogram + - [x] `exgentic_a2a_session_creation_latency_ms` histogram + - [x] `exgentic_a2a_inflight_sessions` gauge +- [x] Reused metrics from appworld: + - [x] `exgentic_a2a_a2a_latency_ms` histogram + - [x] `exgentic_a2a_prompt_size_chars` histogram + - [x] `exgentic_a2a_response_size_chars` histogram + - [x] `exgentic_a2a_errors_total` counter +- [x] Span attributes for session tracking +- [x] `record_success()` with evaluation result +- [x] `record_failure()` with error details +- [x] `record_evaluation()` for evaluation metrics +- [x] `record_session_creation()` for creation metrics +- [x] HTTP request auto-instrumentation + +### Main Runner (`runner.py`) +- [x] `Runner` class orchestrating execution +- [x] `SessionResult` dataclass for results +- [x] `RunSummary` class for statistics +- [x] Execution model implementation: + - [x] Create session via MCP + - [x] Build prompt with session_id + - [x] Send to agent via A2A + - [x] Evaluate session via MCP + - [x] Close session via MCP + - [x] Record statistics +- [x] `process_session()` method following exact flow +- [x] Sequential session iteration +- [x] Comprehensive error handling +- [x] Graceful shutdown on errors +- [x] Session cleanup even on failure +- [x] OTEL span creation and tracking +- [x] Summary statistics calculation +- [x] Console output formatting +- [x] Command-line argument parsing +- [x] Verbose logging support +- [x] Exit code handling + +## ✅ Documentation +- [x] Comprehensive README.md with: + - [x] Feature list + - [x] Architecture description + - [x] Installation instructions + - [x] Configuration reference + - [x] Usage examples + - [x] Output format documentation + - [x] OpenTelemetry metrics/traces documentation + - [x] Comparison with appworld_a2a_runner + - [x] Execution flow diagram + - [x] Troubleshooting guide +- [x] Example environment file with all variables +- [x] Planning documents (EXGENTIC_A2A_RUNNER_PLAN.md) +- [x] Architecture diagrams (EXGENTIC_ARCHITECTURE.md) +- [x] Implementation summary (IMPLEMENTATION_SUMMARY.md) + +## ✅ Alignment with GitHub Issue #963 + +### Required Features +- [x] MCP server integration for benchmark access +- [x] Admin tools support: `create_session`, `evaluate_session`, `close_session` +- [x] Session-based execution model +- [x] A2A protocol for agent communication +- [x] Session_id included in prompts +- [x] Sequential execution (MVP requirement) +- [x] Statistics collection and reporting +- [x] OpenTelemetry instrumentation + +### Execution Model Match +``` +✅ (session_id, task) = benchmark_mcp.call("create_session") +✅ startTime = time() +✅ agent.invoke_agent("{task}. Use session id {session_id}") +✅ completionTime = time() - startTime +✅ success = benchmark_mcp.call("evaluate_session", {"session_id": session_id}) +✅ stats[session_id] = (completion_time, success) +✅ benchmark_mcp.call("close_session", {"session_id": session_id}) +``` + +## 📋 Dependencies + +### Python Packages (in pyproject.toml) +- [x] `mcp>=0.9.0` - Official MCP SDK +- [x] `requests>=2.28.0` - HTTP client +- [x] `opentelemetry-api>=1.20.0` - OTEL API +- [x] `opentelemetry-sdk>=1.20.0` - OTEL SDK +- [x] `opentelemetry-exporter-otlp>=1.20.0` - OTEL exporter +- [x] `opentelemetry-instrumentation-requests>=0.41b0` - HTTP instrumentation + +### Dev Dependencies +- [x] `pytest>=7.0.0` +- [x] `pytest-mock>=3.10.0` +- [x] `black>=23.0.0` +- [x] `mypy>=1.0.0` + +## 🎯 Key Design Decisions + +1. **Sequential Execution**: ✅ Implemented for MVP simplicity +2. **Official MCP SDK**: ✅ Used for reliable protocol communication +3. **Explicit Session Lifecycle**: ✅ Create → Use → Evaluate → Close +4. **Session-aware Prompts**: ✅ Session_id prominently included +5. **Comprehensive Telemetry**: ✅ Traces, metrics, and logs +6. **Environment Configuration**: ✅ All settings via env vars +7. **Error Handling**: ✅ Graceful degradation and cleanup +8. **Reusable Components**: ✅ A2A client and OTEL base from appworld + +## 🔍 Code Quality + +- [x] Consistent naming conventions +- [x] Comprehensive docstrings +- [x] Type hints where applicable +- [x] Logging at appropriate levels +- [x] Error messages with context +- [x] Clean separation of concerns +- [x] Follows appworld_a2a_runner patterns + +## 📊 Testing Readiness + +The implementation is ready for testing with: +- Real Exgentic MCP server +- Kagenti generalist agent +- OTLP collector for telemetry + +### To Test: +1. Set up Exgentic MCP server +2. Deploy Kagenti agent with A2A endpoint +3. Configure environment variables +4. Run: `uv run exgentic-a2a-runner` +5. Verify session creation, execution, evaluation, and cleanup +6. Check telemetry data in OTLP collector + +## ✨ Summary + +All components have been successfully implemented following the requirements from GitHub Issue #963. The harness: + +- ✅ Integrates with Exgentic MCP server +- ✅ Communicates with Kagenti agents via A2A +- ✅ Implements the exact execution model specified +- ✅ Provides comprehensive observability +- ✅ Follows the appworld_a2a_runner pattern +- ✅ Is fully documented and ready for deployment + +The implementation is **COMPLETE** and ready for integration testing with actual Exgentic MCP server and Kagenti agents. \ No newline at end of file diff --git a/exgentic_a2a_runner/QUICKSTART.md b/exgentic_a2a_runner/QUICKSTART.md new file mode 100644 index 0000000..d483a9a --- /dev/null +++ b/exgentic_a2a_runner/QUICKSTART.md @@ -0,0 +1,238 @@ +# Quick Start Guide - Running Against Kagenti Cluster + +## Prerequisites + +✅ kubectl configured with `kind-kagenti` context +✅ Kagenti cluster running with: +- Kagenti backend in `kagenti-system` namespace +- Keycloak in `keycloak` namespace +- `team1` namespace for deployments + +## Option 1: Deploy Your Own Benchmark and Agent + +If you want to deploy a fresh benchmark and agent: + +### Step 1: Deploy the Benchmark (MCP Server) + +Deploy an Exgentic benchmark (e.g., GSM8K): + +```bash +cd exgentic_a2a_runner +./deploy-benchmark.sh gsm8k admin admin +``` + +This will: +- Check for the benchmark image locally +- Sync the image to the kind cluster if needed +- Deploy the MCP server via Kagenti API +- Wait for the deployment to be ready + +**Note:** You need to build the benchmark image first. Use +agent-examples/mcp/exgentic_benchmarks/build.sh to build the image locally. + +### Step 2: Deploy the Agent + +Deploy a generic A2A agent that will use the benchmark: + +```bash +./deploy-agent.sh gsm8k admin admin +``` + +This will: +- Deploy the generic agent via Kagenti API +- Configure it to connect to the MCP server +- Build the agent image from source +- Wait for the deployment to be ready + +### Step 3: Update Configuration + +Update your `.env` file to use the deployed services: + +```bash +# Update these values in .env +AGENT_SERVICE=generic-agent-internal-gsm8k +BENCHMARK_SERVICE=exgentic-mcp-gsm8k-mcp +``` + +### Step 4: Run the Harness + +Now run the harness with the deployed services: + +```bash +./run-with-port-forward.sh +``` + +## Option 2: Use Existing Services + +If services are already deployed in the team1 namespace, you can use them directly. + +### Quick Run + +The easiest way to run the harness is using the provided script: + +```bash +cd exgentic_a2a_runner +./run-with-port-forward.sh +``` + +This script will: +1. Set up port forwarding to both services +2. Test connectivity +3. Run the harness with verbose logging +4. Clean up port forwards on exit + + +## Configuration + +The `.env` file should be configured for your deployed services: + +```bash +# Service names in Kubernetes +AGENT_SERVICE=generic-agent-internal-gsm8k +BENCHMARK_SERVICE=exgentic-mcp-gsm8k-mcp + +# Local endpoints (via port-forward) +EXGENTIC_MCP_SERVER_URL=http://localhost:8000/mcp +A2A_BASE_URL=http://localhost:8081 + +# Test configuration +MAX_TASKS=10 # Number of tasks to run +MAX_PARALLEL_SESSIONS=10 # Parallel execution +LOG_PROMPT=1 # Enable prompt logging +LOG_RESPONSE=1 # Enable response logging +``` + +**Important:** Note that the A2A agent now uses port 8081 (not 8080) to avoid conflicts with the kagenti-ui service. + +## What to Expect + +The harness will: +1. Connect to the MCP server and create a session +2. Get a task from the Tau-Bench benchmark +3. Build a prompt with the session_id +4. Send the prompt to the generic-agent2 via A2A +5. Wait for the agent to complete the task +6. Evaluate the session via MCP +7. Close the session +8. Print statistics + +### Expected Output + +``` +2026-03-17 18:52:00 - INFO - Initializing runner components +2026-03-17 18:52:00 - INFO - Initializing OpenTelemetry instrumentation +2026-03-17 18:52:00 - INFO - Initializing Exgentic adapter +2026-03-17 18:52:01 - INFO - Creating new session +2026-03-17 18:52:01 - INFO - Processing session: session_abc123 +2026-03-17 18:52:05 - INFO - Session session_abc123 completed in 4523.45ms (evaluation: success) +... +============================================================ +RUN SUMMARY +============================================================ +Sessions Attempted: 3 +Sessions Succeeded: 3 +Sessions Failed: 0 +Evaluation Success: 100.0% +Total Wall Time: 15.23s +Average Latency: 5076.67ms +P50 Latency: 5000.00ms +P95 Latency: 5500.00ms +============================================================ +``` + +## Troubleshooting + +### Port Forward Issues + +If port forwarding fails: +```bash +# Kill existing port forwards +pkill -f "port-forward" + +# Check if ports are in use +lsof -i :8000 +lsof -i :8080 + +# Restart port forwards +kubectl port-forward -n team1 svc/exgentic-mcp-tau2-mcp 8000:8000 & +kubectl port-forward -n team1 svc/generic-agent2 8080:8080 & +``` + +### MCP Connection Issues + +If you see "MCP client initialization failed": +- Verify the MCP server is running: `kubectl get pods -n team1 | grep exgentic` +- Check MCP server logs: `kubectl logs -n team1 -l app=exgentic-mcp-tau2-mcp` +- Test connectivity: `curl http://localhost:8000/health` (if health endpoint exists) + +### A2A Connection Issues + +If you see "A2A request failed": +- Verify the agent is running: `kubectl get pods -n team1 | grep generic-agent2` +- Check agent logs: `kubectl logs -n team1 -l app=generic-agent2` +- Test agent card: `curl http://localhost:8080/.well-known/agent-card.json` + +### Session Evaluation Failures + +If sessions complete but evaluation fails: +- Check if the agent is using the session_id correctly in its tool calls +- Review agent logs to see what tools it's calling +- Verify the agent has access to the MCP server for tool execution + +## Deployment Scripts Reference + +### deploy-benchmark.sh + +Deploys an Exgentic MCP benchmark server: + +```bash +./deploy-benchmark.sh [keycloak-username] [keycloak-password] +``` + +**Arguments:** +- `benchmark-name`: Name of the benchmark (e.g., gsm8k, tau2) +- `keycloak-username`: Keycloak admin username (default: admin) +- `keycloak-password`: Keycloak admin password (default: admin) + +**What it does:** +1. Checks for local benchmark image +2. Syncs image to kind cluster if needed +3. Authenticates with Keycloak +4. Deploys MCP server via Kagenti API +5. Waits for deployment to be ready + +### deploy-agent.sh + +Deploys a generic A2A agent: + +```bash +./deploy-agent.sh [keycloak-username] [keycloak-password] +``` + +**Arguments:** +- `benchmark-name`: Name of the benchmark the agent will use +- `keycloak-username`: Keycloak admin username (default: admin) +- `keycloak-password`: Keycloak admin password (default: admin) + +**What it does:** +1. Authenticates with Keycloak +2. Fetches agent environment configuration +3. Configures agent to connect to the MCP server +4. Deploys agent via Kagenti API (builds from source) +5. Waits for build and deployment to complete + +## Next Steps + +After successful test run: +1. Increase `MAX_TASKS` in `.env` for longer runs +2. Enable OTLP exporter for telemetry collection +3. Deploy different benchmarks and test with various agents +4. Analyze results and agent performance +5. Access kagenti-ui at http://kagenti-ui.localtest.me:8080/ to monitor deployments + +## Support + +For issues: +- Check logs with `--verbose` flag +- Review agent and MCP server logs in Kubernetes +- See main README.md for detailed documentation \ No newline at end of file diff --git a/exgentic_a2a_runner/README.md b/exgentic_a2a_runner/README.md new file mode 100644 index 0000000..ca910b8 --- /dev/null +++ b/exgentic_a2a_runner/README.md @@ -0,0 +1,270 @@ +# Exgentic A2A Runner + +A standalone Python runner that integrates Exgentic benchmarks with Kagenti agents using the A2A (Agent-to-Agent) protocol. This harness implements the execution model defined in [GitHub Issue #963](https://github.com/kagenti/kagenti/issues/963). + +## Features + +- **Exgentic MCP Integration**: Communicates with Exgentic MCP server for benchmark tasks +- **Sequential session processing**: One session at a time for simplicity and reliability +- **A2A protocol support**: Communicates with remote agents using the A2A protocol via JSON-RPC over HTTP +- **Session lifecycle management**: Explicit create → use → evaluate → close pattern +- **OpenTelemetry instrumentation**: Comprehensive traces, metrics, and logs +- **Strict failure handling**: Any error or timeout marks the session as failed +- **Configurable via environment variables**: Easy deployment and configuration +- **Official MCP SDK**: Uses the MCP Python SDK for reliable protocol communication + +## Architecture + +The runner follows this execution model for each benchmark session: + +1. **Create Session**: `(session_id, task) = mcp_server.create_session()` +2. **Build Prompt**: Include session_id in task instructions +3. **Invoke Agent**: `agent.invoke_agent("{task}. Use session id {session_id}")` +4. **Evaluate Session**: `success = mcp_server.evaluate_session(session_id)` +5. **Close Session**: `mcp_server.close_session(session_id)` +6. **Record Statistics**: Track completion time and success rate + +## Installation + +### Prerequisites + +- Python 3.11 or 3.12 (Python 3.13 is **not supported** due to dependency compatibility) +- [uv](https://docs.astral.sh/uv/) package manager +- Access to an Exgentic MCP server +- Access to an A2A-compatible agent endpoint (e.g., Kagenti generalist agent) + +### Install from source + +```bash +git clone git@github.com:kagenti/workload-harness.git +cd workload-harness/exgentic_a2a_runner +uv sync --python 3.12 +source .venv/bin/activate +``` + +## Configuration + +```bash +cp example.env .env +``` + +Configure the .env file as needed. + +### Required Variables + +| Environment Variable | Default Setting | Required? | Description | +| --- | --- | --- | --- | +| `EXGENTIC_MCP_SERVER_URL` | `(none)` | Yes | URL for the Exgentic MCP server that provides benchmark tasks. | +| `A2A_BASE_URL` | `(none)` | Yes | Base URL for the target agent to run the tests against. Must be A2A compatible. | + +### Optional Variables + +| Environment Variable | Default Setting | Required? | Description | +| --- | --- | --- | --- | +| `EXGENTIC_MCP_TIMEOUT_SECONDS` | `60` | No | Timeout for MCP operations in seconds. | +| `MAX_TASKS` | `(none)` | No | Maximum number of sessions to process before exiting. | +| `ABORT_ON_FAILURE` | `false` | No | Stops processing after the first failed session when enabled. | +| `A2A_TIMEOUT_SECONDS` | `300` | No | Timeout for each A2A request in seconds. | +| `A2A_AUTH_TOKEN` | `(none)` | No | Bearer token sent for A2A endpoint authentication. | +| `A2A_VERIFY_TLS` | `true` | No | Whether TLS certificates are verified for HTTPS requests. | +| `A2A_ENDPOINT_PATH` | `/v1/chat` | No | Endpoint path appended to `A2A_BASE_URL` for requests. | +| `OTEL_SERVICE_NAME` | `exgentic-a2a-runner` | No | OpenTelemetry service name reported with traces. | +| `OTEL_EXPORTER_OTLP_ENDPOINT` | `(none)` | No | OTLP collector endpoint used to export telemetry. | +| `OTEL_EXPORTER_OTLP_PROTOCOL` | `grpc` | No | OTLP transport protocol (`grpc` or `http/protobuf`). | +| `OTEL_RESOURCE_ATTRIBUTES` | `(none)` | No | Additional OpenTelemetry resource attributes (`key=value`). | +| `OTEL_INSTRUMENT_REQUESTS` | `true` | No | Enables automatic instrumentation for HTTP requests. | +| `OTEL_EXPORTER_OTLP_INSECURE` | `true` | No | Use insecure connection for OTLP exporter. | +| `LOG_PROMPT` | `0` | No | Enables logging of prompt payloads for debugging. | +| `LOG_RESPONSE` | `0` | No | Enables logging of response payloads for debugging. | + +## Usage + +### Basic Usage + +```bash +uv run exgentic-a2a-runner +``` + +### With Verbose Logging + +```bash +uv run exgentic-a2a-runner --verbose +``` + +## Output + +### Console Summary + +At the end of each run, a summary is printed: + +``` +============================================================ +RUN SUMMARY +============================================================ +Sessions Attempted: 100 +Sessions Succeeded: 95 +Sessions Failed: 5 +Evaluation Success: 92.6% +Total Wall Time: 1234.56s +Average Latency: 12345.67ms +P50 Latency: 10000.00ms +P95 Latency: 20000.00ms +============================================================ +``` + +### OpenTelemetry Data + +The runner emits comprehensive telemetry: + +#### Traces + +Each session creates a span (`exgentic_a2a.session`) with: + +**Attributes:** +- `exgentic.session_id`: Session identifier +- `exgentic.mcp_server_url`: MCP server URL +- `exgentic.evaluation_result`: Whether evaluation was successful +- `a2a.base_url`: A2A endpoint URL +- `a2a.timeout_seconds`: Timeout value +- `prompt.chars`: Prompt size in characters +- `response.chars`: Response size in characters +- `session.status`: `success` or `failed` +- `a2a.duration_ms`: End-to-end A2A operation latency in milliseconds + +**Child spans:** +- `exgentic_a2a.prompt.build`: Prompt construction +- `exgentic_a2a.a2a.send_prompt`: End-to-end A2A `send_prompt` call +- `exgentic_a2a.mcp.evaluate_session`: Session evaluation +- `exgentic_a2a.mcp.close_session`: Session cleanup + +**Auto-instrumented HTTP spans:** +- Outbound `requests` spans for agent-card discovery, `message/send`, and `tasks/get` calls + +**Events:** +- `prompt_built`: When prompt is constructed +- `session_failed`: When session fails (includes error details) + +#### Metrics + +**Counters:** +- `exgentic_a2a_sessions_total{status=success|failed}`: Total sessions processed +- `exgentic_a2a_errors_total{error_type=...}`: Total errors by type + +**Histograms:** +- `exgentic_a2a_session_latency_ms`: End-to-end session latency +- `exgentic_a2a_evaluation_latency_ms`: Evaluation operation latency +- `exgentic_a2a_session_creation_latency_ms`: Session creation latency +- `exgentic_a2a_a2a_latency_ms`: A2A request latency +- `exgentic_a2a_prompt_size_chars`: Prompt size distribution +- `exgentic_a2a_response_size_chars`: Response size distribution + +**Gauge:** +- `exgentic_a2a_inflight_sessions`: Current sessions in flight (0 or 1) + +## Key Differences from AppWorld Runner + +| Aspect | AppWorld Runner | Exgentic Runner | +|--------|----------------|-----------------| +| **Task Source** | AppWorld dataset enumeration | MCP server `create_session` | +| **Protocol** | Direct AppWorld API | MCP protocol | +| **Session Management** | Implicit (AppWorld context) | Explicit (create/evaluate/close) | +| **Evaluation** | AppWorld evaluation system | MCP `evaluate_session` | +| **Prompt Format** | Task + supervisor + apps | Task + session_id | +| **Dependencies** | `appworld` package | `mcp` package | + +## Execution Flow + +``` +┌─────────────────────────────────────────────────────────┐ +│ For Each Session │ +├─────────────────────────────────────────────────────────┤ +│ │ +│ 1. Create Session │ +│ └─> MCP: create_session() → (session_id, task) │ +│ │ +│ 2. Build Prompt │ +│ └─> Include session_id in instructions │ +│ │ +│ 3. Invoke Agent │ +│ └─> A2A: send_prompt(prompt) → response │ +│ │ +│ 4. Evaluate Session │ +│ └─> MCP: evaluate_session(session_id) → success │ +│ │ +│ 5. Close Session │ +│ └─> MCP: close_session(session_id) │ +│ │ +│ 6. Record Statistics │ +│ └─> Track time, success, evaluation result │ +│ │ +└─────────────────────────────────────────────────────────┘ +``` + +## Current Limitations + +- Sequential execution only (no concurrency) +- No retry mechanism for failed operations +- No streaming response support +- Assumes MCP server is already configured for specific benchmark + +## Troubleshooting + +### MCP Connection Issues + +If you see errors connecting to the MCP server: +- Verify `EXGENTIC_MCP_SERVER_URL` is correct +- Check that the MCP server is running and accessible +- Ensure the MCP server supports the required tools: `create_session`, `evaluate_session`, `close_session` + +### A2A Communication Issues + +If the agent doesn't respond or times out: +- Verify `A2A_BASE_URL` is correct +- Check `A2A_TIMEOUT_SECONDS` is sufficient for your tasks +- Ensure the agent is A2A-compatible and running +- Check if `A2A_AUTH_TOKEN` is required and set correctly + +### Session Evaluation Failures + +If sessions complete but evaluation fails: +- Check agent logs to see if it's using the session_id correctly +- Verify the agent has access to the benchmark tools via MCP +- Ensure the agent is calling tools with the correct session_id parameter + +## Development + +### Running Tests + +```bash +uv run pytest +``` + +### Code Formatting + +```bash +uv run black exgentic_a2a_runner/ +``` + +### Type Checking + +```bash +uv run mypy exgentic_a2a_runner/ +``` + +## Contributing + +Contributions are welcome! Please ensure: +- Code follows the existing style +- Tests pass +- Documentation is updated +- Commit messages are clear + +## License + +See LICENSE file in the repository root. + +## Support + +For issues and questions: +- GitHub Issues: https://github.com/kagenti/workload-harness/issues +- Related Issue: https://github.com/kagenti/kagenti/issues/963 \ No newline at end of file diff --git a/exgentic_a2a_runner/configure-agent-and-benchmark-environment.sh b/exgentic_a2a_runner/configure-agent-and-benchmark-environment.sh new file mode 100755 index 0000000..8ade9c0 --- /dev/null +++ b/exgentic_a2a_runner/configure-agent-and-benchmark-environment.sh @@ -0,0 +1,138 @@ +#!/bin/bash +# Configure agent and benchmark environment settings +# Usage: ./configure-agent-environment.sh +# Example: ./configure-agent-environment.sh gsm8k +# This script updates the Kubernetes secret and environment variables for both agent and benchmark + +set -e + +BENCHMARK_NAME="$1" + +if [ -z "$BENCHMARK_NAME" ]; then + echo "Error: Benchmark name is required" + echo "Usage: $0 " + echo "Example: $0 gsm8k" + exit 1 +fi + +NAMESPACE="team1" +AGENT_NAME="generic-agent-internal-${BENCHMARK_NAME}" +BENCHMARK_DEPLOYMENT="exgentic-mcp-${BENCHMARK_NAME}" + +echo "==========================================" +echo "Configuring Environment" +echo "==========================================" +echo "Agent: $AGENT_NAME" +echo "Benchmark: $BENCHMARK_DEPLOYMENT" +echo "" + +# Step 1: Update the openai-secret with current OPENAI_API_KEY +echo "Step 1: Updating openai-secret with OPENAI_API_KEY..." + +if [ -z "$OPENAI_API_KEY" ]; then + echo "Error: OPENAI_API_KEY environment variable is not set" + exit 1 +fi + +# Encode the API key in base64 +ENCODED_KEY=$(echo -n "$OPENAI_API_KEY" | base64) + +# Patch the secret +kubectl patch secret openai-secret -n $NAMESPACE --type='json' -p="[ + { + \"op\": \"replace\", + \"path\": \"/data/apikey\", + \"value\": \"$ENCODED_KEY\" + } +]" + +echo "✓ Secret updated" +echo "" + +echo "==========================================" +echo "AGENT CONFIGURATION" +echo "==========================================" +echo "" + +# Step 2: Update agent deployment with Azure OpenAI settings +echo "Step 2: Updating agent deployment with Azure OpenAI settings..." + +if [ -z "$OPENAI_API_BASE" ]; then + echo "Error: OPENAI_API_BASE environment variable is not set" + exit 1 +fi + +# Use kubectl set env to update environment variables +kubectl set env deployment/$AGENT_NAME -n $NAMESPACE \ + LLM_API_BASE="$OPENAI_API_BASE" \ + OPENAI_API_BASE="$OPENAI_API_BASE" \ + LLM_MODEL="Azure/gpt-4o" + +echo "✓ Agent environment variables updated" +echo "" + +# Step 3: Wait for agent rollout +echo "Step 3: Waiting for agent deployment rollout..." +kubectl rollout status deployment/$AGENT_NAME -n $NAMESPACE --timeout=120s + +echo "✓ Agent rollout complete" +echo "" + +echo "Agent configuration applied:" +echo " Deployment: $AGENT_NAME" +echo " LLM_API_BASE: $OPENAI_API_BASE" +echo " OPENAI_API_BASE: $OPENAI_API_BASE" +echo " LLM_MODEL: Azure/gpt-4o" +echo " OPENAI_API_KEY: (updated secret from env var)" +echo "" + +echo "==========================================" +echo "BENCHMARK CONFIGURATION" +echo "==========================================" +echo "" + +# Step 4: Update benchmark deployment with Azure OpenAI settings +echo "Step 4: Updating benchmark deployment with Azure OpenAI settings..." + +# Check if benchmark deployment exists +if kubectl get deployment $BENCHMARK_DEPLOYMENT -n $NAMESPACE >/dev/null 2>&1; then + # Set OPENAI_API_BASE for all benchmarks + kubectl set env deployment/$BENCHMARK_DEPLOYMENT -n $NAMESPACE \ + OPENAI_API_BASE="$OPENAI_API_BASE" + + # Only set EXGENTIC_SET_BENCHMARK_USER_SIMULATOR_MODEL for tau benchmarks + if [[ "$BENCHMARK_NAME" == tau* ]]; then + kubectl set env deployment/$BENCHMARK_DEPLOYMENT -n $NAMESPACE \ + EXGENTIC_SET_BENCHMARK_USER_SIMULATOR_MODEL=openai/Azure/gpt-4o + echo "✓ Benchmark environment variables updated (including user simulator model for tau benchmark)" + else + echo "✓ Benchmark environment variables updated" + fi + + echo "" + + # Step 5: Wait for benchmark rollout + echo "Step 5: Waiting for benchmark deployment rollout..." + kubectl rollout status deployment/$BENCHMARK_DEPLOYMENT -n $NAMESPACE --timeout=120s + echo "✓ Benchmark rollout complete" + echo "" + + echo "Benchmark configuration applied:" + echo " Deployment: $BENCHMARK_DEPLOYMENT" + echo " OPENAI_API_BASE: $OPENAI_API_BASE" + if [[ "$BENCHMARK_NAME" == tau* ]]; then + echo " EXGENTIC_SET_BENCHMARK_USER_SIMULATOR_MODEL: openai/Azure/gpt-4o" + fi + echo " OPENAI_API_KEY: (updated secret from env var)" +else + echo "⚠ Benchmark deployment not found, skipping" +fi + +echo "" + +echo "==========================================" +echo "Configuration Complete!" +echo "==========================================" +echo "" + +# Made with Bob diff --git a/exgentic_a2a_runner/deploy-agent.sh b/exgentic_a2a_runner/deploy-agent.sh new file mode 100755 index 0000000..d997089 --- /dev/null +++ b/exgentic_a2a_runner/deploy-agent.sh @@ -0,0 +1,325 @@ +#!/bin/bash +# Deploy generic agent to Kagenti cluster via API +# Usage: ./deploy-agent.sh +# Example: ./deploy-agent.sh gsm8k admin admin + +set -e + +BENCHMARK_NAME="$1" +KEYCLOAK_USERNAME="${2:-admin}" +KEYCLOAK_PASSWORD="${3:-admin}" + +if [ -z "$BENCHMARK_NAME" ]; then + echo "Error: Benchmark name is required" + echo "Usage: $0 [keycloak-username] [keycloak-password]" + echo "Example: $0 gsm8k admin admin" + exit 1 +fi + +AGENT_NAME="generic-agent-internal-${BENCHMARK_NAME}" +TOOL_NAME="exgentic-mcp-${BENCHMARK_NAME}" +NAMESPACE="team1" +KAGENTI_API="http://localhost:8001" +KAGENTI_PORT=8001 +KEYCLOAK_API="http://localhost:8002" +KEYCLOAK_PORT=8002 + +echo "==========================================" +echo "Deploying Generic Agent: $AGENT_NAME" +echo "==========================================" +echo "" + +# Step 1: Set up port-forward to Keycloak +echo "Step 1: Setting up port-forward to Keycloak..." +if lsof -Pi :$KEYCLOAK_PORT -sTCP:LISTEN -t >/dev/null 2>&1; then + echo "✓ Port $KEYCLOAK_PORT is already in use (assuming Keycloak is accessible)" +else + echo "Starting port-forward to keycloak on port $KEYCLOAK_PORT..." + kubectl port-forward -n keycloak svc/keycloak-service $KEYCLOAK_PORT:8080 >/dev/null 2>&1 & + KEYCLOAK_PF_PID=$! + sleep 2 +fi + +echo "" + +# Step 2: Enable Direct Access Grants for kagenti client if needed +echo "Step 2: Checking Keycloak client configuration..." + +# Get admin token first +ADMIN_TOKEN_RESPONSE=$(curl -s -X POST "$KEYCLOAK_API/realms/master/protocol/openid-connect/token" \ + -H "Content-Type: application/x-www-form-urlencoded" \ + -d "username=$KEYCLOAK_USERNAME" \ + -d "password=$KEYCLOAK_PASSWORD" \ + -d "grant_type=password" \ + -d "client_id=admin-cli" 2>/dev/null || echo "TOKEN_ERROR") + +if [ "$ADMIN_TOKEN_RESPONSE" != "TOKEN_ERROR" ]; then + ADMIN_TOKEN=$(echo "$ADMIN_TOKEN_RESPONSE" | grep -o '"access_token":"[^"]*"' | sed 's/"access_token":"\([^"]*\)"/\1/') + + if [ -n "$ADMIN_TOKEN" ]; then + # Get kagenti client configuration + CLIENT_CONFIG=$(curl -s "$KEYCLOAK_API/admin/realms/kagenti/clients?clientId=kagenti" \ + -H "Authorization: Bearer $ADMIN_TOKEN" 2>/dev/null) + + CLIENT_ID=$(echo "$CLIENT_CONFIG" | grep -o '"id":"[^"]*"' | head -1 | sed 's/"id":"\([^"]*\)"/\1/') + + if [ -n "$CLIENT_ID" ]; then + # Enable direct access grants + curl -s -X PUT "$KEYCLOAK_API/admin/realms/kagenti/clients/$CLIENT_ID" \ + -H "Authorization: Bearer $ADMIN_TOKEN" \ + -H "Content-Type: application/json" \ + -d '{"directAccessGrantsEnabled": true}' >/dev/null 2>&1 + echo "✓ Direct access grants enabled for kagenti client" + fi + fi +fi + +echo "" + +# Step 3: Get Keycloak authentication token +echo "Step 3: Getting Keycloak authentication token..." +TOKEN_RESPONSE=$(curl -s -X POST "$KEYCLOAK_API/realms/kagenti/protocol/openid-connect/token" \ + -H "Content-Type: application/x-www-form-urlencoded" \ + -d "username=$KEYCLOAK_USERNAME" \ + -d "password=$KEYCLOAK_PASSWORD" \ + -d "grant_type=password" \ + -d "client_id=kagenti" || echo "TOKEN_ERROR") + +if [ "$TOKEN_RESPONSE" = "TOKEN_ERROR" ]; then + echo "Error: Failed to get authentication token from Keycloak" + exit 1 +fi + +ACCESS_TOKEN=$(echo "$TOKEN_RESPONSE" | grep -o '"access_token":"[^"]*"' | sed 's/"access_token":"\([^"]*\)"/\1/') + +if [ -z "$ACCESS_TOKEN" ]; then + echo "Error: Failed to extract access token" + echo "Response: $TOKEN_RESPONSE" + echo "" + echo "If you see 'unauthorized_client' error, the kagenti client may need Direct Access Grants enabled." + echo "You can enable it manually in Keycloak admin console or run this script again." + exit 1 +fi + +echo "✓ Successfully obtained authentication token" + +echo "" + +# Step 4: Set up port-forward to Kagenti backend +echo "Step 4: Setting up port-forward to Kagenti backend..." +if lsof -Pi :$KAGENTI_PORT -sTCP:LISTEN -t >/dev/null 2>&1; then + echo "✓ Port $KAGENTI_PORT is already in use (assuming Kagenti backend is accessible)" +else + echo "Starting port-forward to kagenti-backend on port $KAGENTI_PORT..." + kubectl port-forward -n kagenti-system svc/kagenti-backend $KAGENTI_PORT:8000 >/dev/null 2>&1 & + PORT_FORWARD_PID=$! + sleep 2 +fi + +echo "" + +# Step 5: Delete existing agent if it exists +echo "Step 5: Deleting existing agent via Kagenti API if it exists..." +DELETE_RESPONSE=$(curl -s -w "%{http_code}" -o /tmp/kagenti_delete_agent_response.txt -X DELETE "$KAGENTI_API/api/v1/agents/$NAMESPACE/$AGENT_NAME" \ + -H "Authorization: Bearer $ACCESS_TOKEN") + +if [ "$DELETE_RESPONSE" = "200" ] || [ "$DELETE_RESPONSE" = "404" ]; then + echo "✓ Agent deleted or did not exist (HTTP $DELETE_RESPONSE)" +else + echo "Warning: Delete returned HTTP $DELETE_RESPONSE" +fi + +sleep 3 + +echo "" + +# Step 6: Fetch and parse environment variables +echo "Step 6: Fetching environment variables..." +ENV_CONTENT=$(curl -s https://raw.githubusercontent.com/kagenti/agent-examples/refs/heads/main/a2a/generic_agent/.env.openai) + +# Parse env vars using the Kagenti API +ENV_PARSE_RESPONSE=$(curl -s -X POST "$KAGENTI_API/api/v1/agents/parse-env" \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $ACCESS_TOKEN" \ + -d "{\"content\": $(echo "$ENV_CONTENT" | jq -Rs .)}") + +ENV_VARS=$(echo "$ENV_PARSE_RESPONSE" | jq '.envVars') + +echo "✓ Environment variables parsed" + +echo "" + +# Step 7: Deploy agent via Kagenti API +echo "Step 7: Deploying agent via Kagenti API..." + +# Add MCP_URLS to environment variables +MCP_URL="http://${TOOL_NAME}-mcp:8000/mcp" +ENV_VARS_WITH_MCP=$(echo "$ENV_VARS" | jq ". + [{\"name\": \"MCP_URLS\", \"value\": \"$MCP_URL\"}]") + +AGENT_JSON=$(cat </dev/null || echo "Unknown") + BUILD_REASON=$(kubectl get buildrun "$BUILD_RUN_NAME" -n "$NAMESPACE" -o jsonpath='{.status.conditions[?(@.type=="Succeeded")].reason}' 2>/dev/null || echo "Unknown") + + if [ "$BUILD_STATUS" = "True" ]; then + echo "✓ Build completed successfully" + break + elif [ "$BUILD_STATUS" = "False" ]; then + echo "✗ Build failed with reason: $BUILD_REASON" + echo "Check logs with: kubectl logs -n $NAMESPACE -l buildrun.shipwright.io/name=$BUILD_RUN_NAME" + exit 1 + fi + + echo " Build in progress... ($i/60)" + sleep 5 + done + + if [ "$BUILD_STATUS" != "True" ]; then + echo "✗ Build did not complete within 5 minutes" + exit 1 + fi +fi + +echo "" + +# Step 9: Wait for agent deployment to be created and ready +echo "Step 9: Waiting for agent deployment to be created..." + +# Wait for deployment to be created (up to 2 minutes) +for i in {1..24}; do + if kubectl get deployment $AGENT_NAME -n $NAMESPACE >/dev/null 2>&1; then + echo "✓ Agent deployment created" + break + fi + echo " Waiting for deployment to be created... ($i/24)" + sleep 5 +done + +# Check if deployment exists +if ! kubectl get deployment $AGENT_NAME -n $NAMESPACE >/dev/null 2>&1; then + echo "✗ Agent deployment was not created within 2 minutes" + exit 1 +fi + +echo "Waiting for agent deployment to be ready..." +kubectl wait --for=condition=available deployment/$AGENT_NAME -n $NAMESPACE --timeout=120s + +if [ $? -ne 0 ]; then + echo "✗ Agent deployment did not become ready" + exit 1 +fi + +echo "✓ Agent deployment is ready" +echo "" + +# Step 10: Test agent card access +echo "Step 10: Testing agent card access..." + +# Set up port-forward to agent +AGENT_PORT=8084 +kubectl port-forward -n $NAMESPACE svc/$AGENT_NAME $AGENT_PORT:8080 >/dev/null 2>&1 & +AGENT_PF_PID=$! +sleep 2 + +# Test agent card endpoint (trying common A2A methods) +CARD_RESPONSE=$(curl -s -X POST http://localhost:$AGENT_PORT/ \ + -H "Content-Type: application/json" \ + -d '{"jsonrpc": "2.0", "method": "agent/card", "id": 1}' 2>/dev/null) + +if [ -z "$CARD_RESPONSE" ]; then + echo "✗ No response from agent" + kill $AGENT_PF_PID 2>/dev/null + exit 1 +fi + +# Check if response contains error +if echo "$CARD_RESPONSE" | grep -q '"error"'; then + echo "Agent responded but method may be incorrect:" + echo "$CARD_RESPONSE" | jq '.' 2>/dev/null || echo "$CARD_RESPONSE" + echo "" + echo "Note: Agent is running but may use different A2A method names" +else + echo "✓ Agent card access successful:" + echo "$CARD_RESPONSE" | jq '.' 2>/dev/null || echo "$CARD_RESPONSE" +fi + +# Clean up port-forward +kill $AGENT_PF_PID 2>/dev/null + +echo "" +echo "==========================================" +echo "Deployment Complete!" +echo "==========================================" +echo "" +echo "Agent: $AGENT_NAME.$NAMESPACE:8080" +echo "Tool: $TOOL_NAME.$NAMESPACE:8000" +echo "" +echo "Agent is ready and accessible!" +echo "" + +# Made with Bob diff --git a/exgentic_a2a_runner/deploy-benchmark.sh b/exgentic_a2a_runner/deploy-benchmark.sh new file mode 100755 index 0000000..640a0ed --- /dev/null +++ b/exgentic_a2a_runner/deploy-benchmark.sh @@ -0,0 +1,392 @@ +#!/bin/bash +# Deploy Exgentic benchmark to Kagenti cluster +# Usage: ./deploy-benchmark.sh [keycloak-username] [keycloak-password] +# Example: ./deploy-benchmark.sh gsm8k admin admin + +set -e + +BENCHMARK_NAME="$1" +KEYCLOAK_USERNAME="${2:-admin}" +KEYCLOAK_PASSWORD="${3:-admin}" + +if [ -z "$BENCHMARK_NAME" ]; then + echo "Error: Benchmark name is required" + echo "Usage: $0 [keycloak-username] [keycloak-password]" + echo "Example: $0 gsm8k admin admin" + exit 1 +fi + +IMAGE_NAME="localhost/exgentic-mcp-${BENCHMARK_NAME}:latest" +TOOL_NAME="exgentic-mcp-${BENCHMARK_NAME}" +NAMESPACE="team1" +KAGENTI_API="http://localhost:8001" # Using 8001 to avoid conflict with MCP server on 8000 +KAGENTI_PORT=8001 +KEYCLOAK_API="http://localhost:8002" +KEYCLOAK_PORT=8002 + +echo "==========================================" +echo "Deploying Exgentic Benchmark: $BENCHMARK_NAME" +echo "==========================================" +echo "" + +# Step 1: Check if image exists locally +echo "Step 1: Checking for local image..." +if command -v podman &> /dev/null; then + CONTAINER_CMD="podman" +elif command -v docker &> /dev/null; then + CONTAINER_CMD="docker" +else + echo "Error: Neither podman nor docker found" + exit 1 +fi + +echo "Using container runtime: $CONTAINER_CMD" + +if ! $CONTAINER_CMD image inspect "$IMAGE_NAME" &> /dev/null; then + echo "Error: Image $IMAGE_NAME not found locally" + echo "Please build the image first" + exit 1 +fi + +echo "✓ Image $IMAGE_NAME found locally" +echo "" + +# Step 2: Check if image needs syncing +echo "Step 2: Checking if image sync is needed..." +if ! command -v kind &> /dev/null; then + echo "Error: kind command not found" + exit 1 +fi + +# Get local image ID +LOCAL_IMAGE_ID=$($CONTAINER_CMD inspect "$IMAGE_NAME" --format='{{.Id}}' 2>/dev/null || echo "") + +if [ -z "$LOCAL_IMAGE_ID" ]; then + echo "Error: Could not get local image ID" + exit 1 +fi + +echo "Local image ID: $LOCAL_IMAGE_ID" + +# Get cluster image ID (check if image exists in cluster) +# Use podman if available, otherwise docker +if command -v podman &> /dev/null; then + CLUSTER_IMAGE_ID=$(podman exec kagenti-control-plane crictl inspecti "$IMAGE_NAME" 2>/dev/null | grep '"id":' | head -1 | sed 's/.*"id": *"\([^"]*\)".*/\1/' || echo "") +else + CLUSTER_IMAGE_ID=$(docker exec kagenti-control-plane crictl inspecti "$IMAGE_NAME" 2>/dev/null | grep '"id":' | head -1 | sed 's/.*"id": *"\([^"]*\)".*/\1/' || echo "") +fi + +# Normalize IDs by removing sha256: prefix if present +LOCAL_IMAGE_ID_NORMALIZED="${LOCAL_IMAGE_ID#sha256:}" +CLUSTER_IMAGE_ID_NORMALIZED="${CLUSTER_IMAGE_ID#sha256:}" + +if [ -z "$CLUSTER_IMAGE_ID" ]; then + echo "Image not found in cluster, syncing..." + NEED_SYNC=true +elif [ "$LOCAL_IMAGE_ID_NORMALIZED" != "$CLUSTER_IMAGE_ID_NORMALIZED" ]; then + echo "Cluster image ID: $CLUSTER_IMAGE_ID" + echo "Images differ, syncing..." + NEED_SYNC=true +else + echo "Cluster image ID: $CLUSTER_IMAGE_ID" + echo "✓ Images match, skipping sync" + NEED_SYNC=false +fi + +if [ "$NEED_SYNC" = true ]; then + echo "Saving and loading image..." + $CONTAINER_CMD save "$IMAGE_NAME" | kind load image-archive /dev/stdin --name kagenti + echo "✓ Image synced to kind-kagenti cluster" +fi + +echo "" + +# Step 3: Setting up port-forward to Keycloak... +echo "Step 3: Setting up port-forward to Keycloak..." + +# Check if port-forward is already running +if lsof -Pi :$KEYCLOAK_PORT -sTCP:LISTEN -t >/dev/null 2>&1; then + echo "✓ Port $KEYCLOAK_PORT is already in use (assuming Keycloak is accessible)" +else + echo "Starting port-forward to keycloak on port $KEYCLOAK_PORT..." + kubectl port-forward -n keycloak svc/keycloak-service $KEYCLOAK_PORT:8080 >/dev/null 2>&1 & + KEYCLOAK_PF_PID=$! + + # Wait for port-forward to be ready + echo "Waiting for Keycloak port-forward to be ready..." + for i in {1..10}; do + if curl -s $KEYCLOAK_API/health >/dev/null 2>&1; then + echo "✓ Keycloak port-forward is ready" + break + fi + if [ $i -eq 10 ]; then + echo "Warning: Keycloak port-forward may not be ready, continuing anyway..." + fi + sleep 1 + done +fi + +echo "" + +# Step 4: Enable Direct Access Grants for kagenti client if needed +echo "Step 4: Checking Keycloak client configuration..." + +# Get admin token first +ADMIN_TOKEN_RESPONSE=$(curl -s -X POST "$KEYCLOAK_API/realms/master/protocol/openid-connect/token" \ + -H "Content-Type: application/x-www-form-urlencoded" \ + -d "username=$KEYCLOAK_USERNAME" \ + -d "password=$KEYCLOAK_PASSWORD" \ + -d "grant_type=password" \ + -d "client_id=admin-cli" 2>/dev/null || echo "TOKEN_ERROR") + +if [ "$ADMIN_TOKEN_RESPONSE" != "TOKEN_ERROR" ]; then + ADMIN_TOKEN=$(echo "$ADMIN_TOKEN_RESPONSE" | grep -o '"access_token":"[^"]*"' | sed 's/"access_token":"\([^"]*\)"/\1/') + + if [ -n "$ADMIN_TOKEN" ]; then + # Get kagenti client configuration + CLIENT_CONFIG=$(curl -s "$KEYCLOAK_API/admin/realms/kagenti/clients?clientId=kagenti" \ + -H "Authorization: Bearer $ADMIN_TOKEN" 2>/dev/null) + + CLIENT_ID=$(echo "$CLIENT_CONFIG" | grep -o '"id":"[^"]*"' | head -1 | sed 's/"id":"\([^"]*\)"/\1/') + + if [ -n "$CLIENT_ID" ]; then + # Enable direct access grants + curl -s -X PUT "$KEYCLOAK_API/admin/realms/kagenti/clients/$CLIENT_ID" \ + -H "Authorization: Bearer $ADMIN_TOKEN" \ + -H "Content-Type: application/json" \ + -d '{"directAccessGrantsEnabled": true}' >/dev/null 2>&1 + echo "✓ Direct access grants enabled for kagenti client" + fi + fi +fi + +echo "" + +# Step 5: Get Keycloak authentication token... +echo "Step 5: Getting Keycloak authentication token..." + +# Get token from Keycloak using kagenti client (with direct access grants enabled) +TOKEN_RESPONSE=$(curl -s -X POST "$KEYCLOAK_API/realms/kagenti/protocol/openid-connect/token" \ + -H "Content-Type: application/x-www-form-urlencoded" \ + -d "username=$KEYCLOAK_USERNAME" \ + -d "password=$KEYCLOAK_PASSWORD" \ + -d "grant_type=password" \ + -d "client_id=kagenti" || echo "TOKEN_ERROR") + +if [ "$TOKEN_RESPONSE" = "TOKEN_ERROR" ]; then + echo "Error: Failed to get authentication token from Keycloak" + echo "Please check your Keycloak credentials" + exit 1 +fi + +ACCESS_TOKEN=$(echo "$TOKEN_RESPONSE" | grep -o '"access_token":"[^"]*"' | sed 's/"access_token":"\([^"]*\)"/\1/') + +if [ -z "$ACCESS_TOKEN" ]; then + echo "Error: Failed to extract access token from Keycloak response" + echo "Response: $TOKEN_RESPONSE" + echo "" + echo "If you see 'unauthorized_client' error, the kagenti client may need Direct Access Grants enabled." + echo "You can enable it manually in Keycloak admin console or run this script again." + exit 1 +fi + +echo "✓ Successfully obtained authentication token" + +echo "" + +# Step 6: Set up port-forward to Kagenti backend +echo "Step 6: Setting up port-forward to Kagenti backend..." + +# Check if port-forward is already running +if lsof -Pi :$KAGENTI_PORT -sTCP:LISTEN -t >/dev/null 2>&1; then + echo "✓ Port $KAGENTI_PORT is already in use (assuming Kagenti backend is accessible)" +else + echo "Starting port-forward to kagenti-backend on port $KAGENTI_PORT..." + kubectl port-forward -n kagenti-system svc/kagenti-backend $KAGENTI_PORT:8000 >/dev/null 2>&1 & + PORT_FORWARD_PID=$! + + # Wait for port-forward to be ready + echo "Waiting for port-forward to be ready..." + for i in {1..10}; do + if curl -s $KAGENTI_API/api/v1/namespaces >/dev/null 2>&1; then + echo "✓ Port-forward is ready" + break + fi + if [ $i -eq 10 ]; then + echo "Error: Port-forward failed to become ready" + kill $PORT_FORWARD_PID 2>/dev/null || true + exit 1 + fi + sleep 1 + done +fi + +echo "" + +# Step 7: Delete existing tool via Kagenti API if it exists +echo "Step 7: Deleting existing tool via Kagenti API if it exists..." +DELETE_RESPONSE=$(curl -s -w "%{http_code}" -o /tmp/kagenti_delete_response.txt -X DELETE "$KAGENTI_API/api/v1/tools/$NAMESPACE/$TOOL_NAME" \ + -H "Authorization: Bearer $ACCESS_TOKEN") + +if [ "$DELETE_RESPONSE" = "200" ] || [ "$DELETE_RESPONSE" = "404" ]; then + echo "✓ Tool deleted or did not exist (HTTP $DELETE_RESPONSE)" +else + echo "Warning: Delete returned HTTP $DELETE_RESPONSE" + cat /tmp/kagenti_delete_response.txt +fi + +# Wait a moment for deletion to complete +sleep 3 + +echo "" + +# Step 8: Fetch and parse benchmark environment variables +echo "Step 8: Fetching benchmark environment variables..." +ENV_CONTENT=$(curl -s "https://raw.githubusercontent.com/yoavkatz/agent-examples/refs/heads/feature/exgentic-mcp-server/mcp/exgentic_benchmarks/.env.${BENCHMARK_NAME}") + +if [ -z "$ENV_CONTENT" ] || echo "$ENV_CONTENT" | grep -q "404: Not Found"; then + echo "Warning: Could not fetch .env.${BENCHMARK_NAME} file, deploying without custom env vars" + ENV_VARS="[]" +else + # Parse env vars using the Kagenti API + ENV_PARSE_RESPONSE=$(curl -s -X POST "$KAGENTI_API/api/v1/agents/parse-env" \ + -H "Content-Type: application/json" \ + -H "Authorization: Bearer $ACCESS_TOKEN" \ + -d "{\"content\": $(echo "$ENV_CONTENT" | jq -Rs .)}") + + ENV_VARS=$(echo "$ENV_PARSE_RESPONSE" | jq '.envVars') + + if [ "$ENV_VARS" = "null" ] || [ -z "$ENV_VARS" ]; then + echo "Warning: Could not parse environment variables, deploying without custom env vars" + ENV_VARS="[]" + else + echo "✓ Environment variables parsed" + fi +fi + +echo "" + +# Step 9: Deploy tool using Kagenti API +echo "Step 9: Deploying tool via Kagenti API..." + +# Create tool deployment JSON following Kagenti API format +TOOL_JSON=$(cat </dev/null || echo "Warning: Could not patch imagePullPolicy" +echo "✓ ImagePullPolicy patched" + +echo "" + +# Step 11: Wait for tool to be ready +echo "Step 11: Waiting for tool to be ready..." + +MAX_WAIT=120 +WAIT_INTERVAL=5 +ELAPSED=0 + +while [ $ELAPSED -lt $MAX_WAIT ]; do + # Check if pod is running (using Kagenti's label format) + POD_STATUS=$(kubectl get pods -n $NAMESPACE -l app.kubernetes.io/name=$TOOL_NAME -o jsonpath='{.items[0].status.phase}' 2>/dev/null || echo "NotFound") + + if [ "$POD_STATUS" = "Running" ]; then + # Check if pod is ready + POD_READY=$(kubectl get pods -n $NAMESPACE -l app.kubernetes.io/name=$TOOL_NAME -o jsonpath='{.items[0].status.conditions[?(@.type=="Ready")].status}' 2>/dev/null || echo "False") + + if [ "$POD_READY" = "True" ]; then + echo "✓ Tool is ready!" + + # Get pod name + POD_NAME=$(kubectl get pods -n $NAMESPACE -l app.kubernetes.io/name=$TOOL_NAME -o jsonpath='{.items[0].metadata.name}') + echo "" + echo "Pod: $POD_NAME" + echo "Service: $TOOL_NAME.$NAMESPACE:8000" + echo "" + echo "To access the tool:" + echo " kubectl port-forward -n $NAMESPACE svc/$TOOL_NAME 8000:8000" + echo "" + exit 0 + fi + fi + + echo " Status: $POD_STATUS (waiting...)" + sleep $WAIT_INTERVAL + ELAPSED=$((ELAPSED + WAIT_INTERVAL)) +done + +echo "Error: Tool did not become ready within ${MAX_WAIT}s" +echo "" +echo "Check status with:" +echo " kubectl get pods -n $NAMESPACE -l app.kubernetes.io/name=$TOOL_NAME" +echo " kubectl logs -n $NAMESPACE -l app.kubernetes.io/name=$TOOL_NAME" +exit 1 + +# Made with Bob diff --git a/exgentic_a2a_runner/evaluate_benchmark.sh b/exgentic_a2a_runner/evaluate_benchmark.sh new file mode 100755 index 0000000..628d4a2 --- /dev/null +++ b/exgentic_a2a_runner/evaluate_benchmark.sh @@ -0,0 +1,187 @@ +#!/bin/bash +# Evaluate a specific Exgentic benchmark +# Usage: ./evaluate_benchmark.sh +# Example: ./evaluate_benchmark.sh gsm8k + +set -e + +BENCHMARK_NAME="$1" + +if [ -z "$BENCHMARK_NAME" ]; then + echo "Error: Benchmark name is required" + echo "Usage: $0 " + echo "Example: $0 gsm8k" + exit 1 +fi + +# Set service names based on benchmark name +export AGENT_SERVICE="generic-agent-internal-${BENCHMARK_NAME}" +export BENCHMARK_SERVICE="exgentic-mcp-${BENCHMARK_NAME}" + +echo "==========================================" +echo "Exgentic A2A Runner - Benchmark Evaluation" +echo "==========================================" +echo "Benchmark: $BENCHMARK_NAME" +echo "Agent Service: $AGENT_SERVICE" +echo "Benchmark Service: $BENCHMARK_SERVICE" +echo "" + +# Check if kubectl is available +if ! command -v kubectl &> /dev/null; then + echo "Error: kubectl is not installed or not in PATH" + exit 1 +fi + +# Check if we're connected to the right cluster +CURRENT_CONTEXT=$(kubectl config current-context) +echo "Current kubectl context: $CURRENT_CONTEXT" + +if [ "$CURRENT_CONTEXT" != "kind-kagenti" ]; then + echo "Warning: Not connected to kind-kagenti cluster" + read -p "Continue anyway? (y/n) " -n 1 -r + echo + if [[ ! $REPLY =~ ^[Yy]$ ]]; then + exit 1 + fi +fi + +# Load environment variables if .env exists +if [ -f "$(dirname "$0")/.env" ]; then + source "$(dirname "$0")/.env" +fi + +echo "" +echo "Setting up port forwarding..." +echo " - MCP Server: localhost:8000 -> $BENCHMARK_SERVICE.team1:8000" +echo " - A2A Agent: localhost:8081 -> $AGENT_SERVICE.team1:8080" +echo "" + +# Kill any existing port-forwards on these ports +echo "Cleaning up existing port-forwards on ports 8000 and 8081..." +# Kill any process using port 8000 +lsof -ti:8000 | xargs kill -9 2>/dev/null || true +# Kill any process using port 8081 +lsof -ti:8081 | xargs kill -9 2>/dev/null || true +sleep 2 + +# Check if pods are ready before port-forwarding +echo "Checking if pods are ready..." + +# Extract deployment names (remove -mcp suffix from BENCHMARK_SERVICE if present) +BENCHMARK_DEPLOYMENT="${BENCHMARK_SERVICE%-mcp}" +AGENT_DEPLOYMENT="$AGENT_SERVICE" + +# Wait for MCP server pod to be ready +echo " Checking MCP server pod..." +kubectl wait --for=condition=ready pod -l app.kubernetes.io/name=$BENCHMARK_DEPLOYMENT -n team1 --timeout=60s +if [ $? -ne 0 ]; then + echo "Error: MCP server pod is not ready" + exit 1 +fi + +# Wait for agent pod to be ready +echo " Checking agent pod..." +kubectl wait --for=condition=ready pod -l app.kubernetes.io/name=$AGENT_DEPLOYMENT -n team1 --timeout=60s +if [ $? -ne 0 ]; then + echo "Error: Agent pod is not ready" + exit 1 +fi + +echo "✓ All pods are ready" +echo "" + +# Additional wait to ensure services are fully started +echo "Waiting for services to be fully started..." +sleep 10 + +# Start port forwarding in background +echo "Starting port-forward for MCP server..." +kubectl port-forward -n team1 svc/$BENCHMARK_SERVICE 8000:8000 & +PF_MCP_PID=$! + +echo "Starting port-forward for A2A agent..." +kubectl port-forward -n team1 svc/$AGENT_SERVICE 8081:8080 & +PF_AGENT_PID=$! + +# Wait for port forwards to be ready +echo "Waiting for port forwards to be ready..." +sleep 5 + +# Check if port forwards are working +if ! ps -p $PF_MCP_PID > /dev/null; then + echo "Error: MCP port-forward failed to start" + exit 1 +fi + +if ! ps -p $PF_AGENT_PID > /dev/null; then + echo "Error: Agent port-forward failed to start" + kill $PF_MCP_PID 2>/dev/null || true + exit 1 +fi + +echo "" +echo "✓ Port forwarding established" +echo " MCP Server PID: $PF_MCP_PID" +echo " A2A Agent PID: $PF_AGENT_PID" +echo "" + +# Function to cleanup on exit +#cleanup() { +# echo "" +# echo "Cleaning up port forwards..." +# kill $PF_MCP_PID 2>/dev/null || true +# kill $PF_AGENT_PID 2>/dev/null || true +# echo "Done." +#} +# +#trap cleanup EXIT INT TERM + +# Test connectivity +echo "Testing connectivity..." +echo -n " MCP Server: " +if curl -s -o /dev/null -w "%{http_code}" http://localhost:8000/health 2>/dev/null | grep -q "200\|404"; then + echo "✓ Reachable" +else + echo "⚠ May not be reachable - this might be OK if no /health endpoint" +fi + +echo -n " A2A Agent: " +if curl -s -o /dev/null -w "%{http_code}" http://localhost:8081/.well-known/agent-card.json 2>/dev/null | grep -q "200\|404"; then + echo "✓ Reachable" +else + echo "⚠ May not be reachable - this might be OK" +fi + +echo "" +echo "==========================================" +echo "Starting Exgentic A2A Runner" +echo "==========================================" +echo "" + +# Change to the script directory +cd "$(dirname "$0")" + +# Check if virtual environment exists +if [ ! -d ".venv" ]; then + echo "Virtual environment not found. Installing dependencies..." + uv sync --python 3.12 +fi + +# Activate virtual environment and run +source .venv/bin/activate + +# Load environment variables +if [ -f ".env" ]; then + echo "Loading environment variables from .env" + export $(cat .env | grep -v '^#' | xargs) + echo "" +fi + +# Run the harness +echo "Running: uv run exgentic-a2a-runner --verbose" +echo "" +uv run exgentic-a2a-runner --verbose + +# Cleanup will happen automatically via trap + +# Made with Bob \ No newline at end of file diff --git a/exgentic_a2a_runner/example.env b/exgentic_a2a_runner/example.env new file mode 100644 index 0000000..6ba21ce --- /dev/null +++ b/exgentic_a2a_runner/example.env @@ -0,0 +1,89 @@ +# Example Environment Configuration for Exgentic A2A Runner +# Copy this file to .env and customize for your environment + +# ============================================================ +# REQUIRED CONFIGURATION +# ============================================================ + +# Kubernetes service names for port forwarding (used by run-with-port-forward.sh) +# The A2A agent service name in the cluster +AGENT_SERVICE=generic-agent-internal +# The Exgentic MCP benchmark service name in the cluster +BENCHMARK_SERVICE=exgentic-mcp-gsm8k-mcp + +# Exgentic MCP Server URL (REQUIRED) +# The endpoint for the Exgentic MCP server that provides benchmark tasks +EXGENTIC_MCP_SERVER_URL=http://localhost:8000/mcp + +# A2A endpoint base URL (REQUIRED) +# The Kagenti agent endpoint that will execute the tasks +A2A_BASE_URL=http://localhost:8081 + +# ============================================================ +# EXGENTIC CONFIGURATION (Optional) +# ============================================================ + +# MCP operation timeout in seconds (default: 60) +EXGENTIC_MCP_TIMEOUT_SECONDS=60 + +# Maximum number of tasks/sessions to process (useful for testing) +MAX_TASKS=10 + +# Maximum number of parallel sessions to run concurrently (default: 1) +# Set to 1 for sequential processing, higher values for parallel execution +# Example: MAX_PARALLEL_SESSIONS=5 will run up to 5 sessions simultaneously +MAX_PARALLEL_SESSIONS=1 + +# Stop processing on first failure (default: false) +ABORT_ON_FAILURE=false + +# ============================================================ +# A2A CONFIGURATION (Optional) +# ============================================================ + +# Request timeout in seconds (default: 300) +A2A_TIMEOUT_SECONDS=300 + +# Bearer token for authentication (if required by your endpoint) +# A2A_AUTH_TOKEN=your-secret-token-here + +# Verify TLS certificates (default: true) +A2A_VERIFY_TLS=true + +# Custom endpoint path (default: /v1/chat) +# A2A_ENDPOINT_PATH=/v1/chat + +# ============================================================ +# OPENTELEMETRY CONFIGURATION (Optional) +# ============================================================ + +# Service name for telemetry (default: exgentic-a2a-runner) +OTEL_SERVICE_NAME=exgentic-a2a-runner + +# OTLP exporter endpoint (if not set, telemetry won't be exported) +# OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4317 + +# OTLP protocol (default: grpc) +# Options: grpc, http/protobuf +OTEL_EXPORTER_OTLP_PROTOCOL=grpc + +# Additional resource attributes (comma-separated key=value pairs) +# OTEL_RESOURCE_ATTRIBUTES=env=development,team=research,version=1.0 + +# Enable requests auto-instrumentation for standardized HTTP client spans (default: true) +OTEL_INSTRUMENT_REQUESTS=true + +# Use insecure connection for OTLP (default: true) +OTEL_EXPORTER_OTLP_INSECURE=true + +# ============================================================ +# DEBUG CONFIGURATION (Optional) +# ============================================================ + +# Log prompt details (default: 0) +# WARNING: May log sensitive information +LOG_PROMPT=0 + +# Log response details (default: 0) +# WARNING: May log sensitive information +LOG_RESPONSE=0 \ No newline at end of file diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/__init__.py b/exgentic_a2a_runner/exgentic_a2a_runner/__init__.py new file mode 100644 index 0000000..5916f88 --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/__init__.py @@ -0,0 +1,8 @@ +"""Exgentic A2A Runner - Benchmark harness for Kagenti agents. + +This package provides a test harness that integrates Exgentic benchmarks +with Kagenti agents using the A2A protocol. +""" + +__version__ = "0.1.0" + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/a2a_client.py b/exgentic_a2a_runner/exgentic_a2a_runner/a2a_client.py new file mode 100644 index 0000000..0e8d655 --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/a2a_client.py @@ -0,0 +1,352 @@ +"""A2A client for communicating with remote agent endpoints. + +Implements the A2A protocol for sending prompts and receiving responses using JSON-RPC. +""" + +import logging +import time +import uuid +from typing import Any, Dict, Optional +from urllib.parse import urlparse + +import requests + +from .config import A2AConfig + +logger = logging.getLogger(__name__) + + +class A2AProxyClient: + """Client for A2A protocol communication using JSON-RPC.""" + + def __init__(self, config: A2AConfig): + """Initialize A2A client. + + Args: + config: A2A configuration + """ + self.config = config + self.session = requests.Session() + + # Set default headers + self.session.headers.update( + { + "Content-Type": "application/json", + "Accept": "application/json", + } + ) + + # Set auth token if provided + if config.auth_token: + self.session.headers["Authorization"] = f"Bearer {config.auth_token}" + + # Fetch agent card and determine RPC URL + self.rpc_url = self._discover_rpc_url() + logger.info(f"A2A client initialized with RPC URL: {self.rpc_url}") + + def _normalize_endpoint_path(self) -> str: + """Normalize configured endpoint path to '/path' format.""" + endpoint_path = (self.config.endpoint_path or "/").strip() + if not endpoint_path: + endpoint_path = "/" + if not endpoint_path.startswith("/"): + endpoint_path = "/" + endpoint_path + return endpoint_path + + def _build_rpc_url(self, base_url: str) -> str: + """Build RPC URL by appending configured endpoint path to a base URL.""" + return base_url.rstrip("/") + self._normalize_endpoint_path() + + def _get_agent_card(self) -> Dict[str, Any]: + """Fetch the agent card from the standard discovery location. + + Returns: + Agent card as dict + + Raises: + requests.RequestException: On network or HTTP errors + """ + card_url = self.config.base_url.rstrip("/") + "/.well-known/agent-card.json" + logger.debug(f"Fetching agent card from {card_url}") + + try: + response = self.session.get( + card_url, + timeout=30, + verify=self.config.verify_tls, + ) + response.raise_for_status() + return response.json() + except requests.RequestException as e: + logger.warning(f"Failed to fetch agent card: {e}") + raise + + def _discover_rpc_url(self) -> str: + """Discover the JSON-RPC endpoint URL from the agent card. + + Always uses the configured base_url to build the RPC URL, ignoring + the URL from the agent card. This ensures we use the correct URL + when port-forwarding or proxying. + + Returns: + JSON-RPC endpoint URL + """ + try: + # Fetch agent card for validation, but don't use its URL + card = self._get_agent_card() + service_url = card.get("url") + + if service_url: + logger.debug(f"Agent card advertises URL: {service_url}") + logger.debug(f"Using configured base_url instead: {self.config.base_url}") + + # Always build RPC URL from configured base_url + endpoint path + rpc_url = self._build_rpc_url(self.config.base_url) + logger.debug(f"Using RPC URL: {rpc_url}") + return rpc_url + + except Exception as e: + # Fallback to configured base_url + endpoint path if card fetch fails + logger.warning(f"Could not fetch agent card, using configured endpoint: {e}") + return self._build_rpc_url(self.config.base_url) + + def _jsonrpc_call( + self, + method: str, + params: Dict[str, Any], + request_id: int, + ) -> Any: + """Make a JSON-RPC call to the agent endpoint. + + Args: + method: JSON-RPC method name (e.g., "message/send", "tasks/get") + params: Method parameters + request_id: Request ID for tracking + + Returns: + Result from the JSON-RPC response + + Raises: + RuntimeError: On JSON-RPC error + requests.RequestException: On network or HTTP errors + """ + payload = { + "jsonrpc": "2.0", + "id": request_id, + "method": method, + "params": params, + } + + logger.debug(f"JSON-RPC call: {method} with request_id={request_id}") + + response = self.session.post( + self.rpc_url, + json=payload, + timeout=self.config.timeout_seconds, + verify=self.config.verify_tls, + ) + response.raise_for_status() + + data = response.json() + if "error" in data: + raise RuntimeError(f"JSON-RPC error: {data['error']}") + + if "result" not in data: + raise RuntimeError(f"JSON-RPC response missing 'result' field: {data}") + + return data["result"] + + def _extract_text_from_message(self, message: Dict[str, Any]) -> str: + """Extract text content from a message object. + + Args: + message: Message object with role and parts + + Returns: + Extracted text content + + Raises: + ValueError: If message format is invalid + """ + # Per spec, a Message has role + parts[{kind:"text", text:"..."}] + if "parts" in message: + parts = message["parts"] + if isinstance(parts, list): + text_parts = [] + for part in parts: + if isinstance(part, dict) and part.get("kind") == "text": + text = part.get("text", "") + if text: + text_parts.append(text) + if text_parts: + return "\n".join(text_parts) + + # Fallback: check for direct content field + if "content" in message: + return str(message["content"]) + + raise ValueError("Could not extract text from message") + + def _extract_text_from_task(self, task: Dict[str, Any]) -> str: + """Extract text content from a completed task. + + Args: + task: Task object + + Returns: + Extracted text content + + Raises: + ValueError: If task format is invalid or task failed + """ + status = task.get("status", {}) + state = status.get("state") + extracted_text = None + + # First, try to extract all possible data from artifacts (A2A spec) + if "artifacts" in task: + artifacts = task["artifacts"] + if isinstance(artifacts, list) and len(artifacts) > 0: + artifact = artifacts[0] + if isinstance(artifact, dict) and "parts" in artifact: + parts = artifact["parts"] + if isinstance(parts, list): + text_parts = [] + for part in parts: + if isinstance(part, dict) and part.get("kind") == "text": + text = part.get("text", "") + if text: + text_parts.append(text) + if text_parts: + extracted_text = "\n".join(text_parts) + + # If no artifacts, look for result in task (fallback) + if not extracted_text and "result" in task: + result = task["result"] + if isinstance(result, dict): + # Try to extract message from result + if "message" in result: + try: + extracted_text = self._extract_text_from_message(result["message"]) + except ValueError: + pass + # Try direct text extraction + if not extracted_text and "text" in result: + extracted_text = str(result["text"]) + if not extracted_text and "content" in result: + extracted_text = str(result["content"]) + elif isinstance(result, str): + extracted_text = result + + # Now handle different states with extracted information + if state == "failed": + error = status.get("error", "Unknown error") + if extracted_text: + raise ValueError(f"Task failed: {error}. Output: {extracted_text}") + else: + raise ValueError(f"Task failed: {error}") + + if state == "canceled": + if extracted_text: + raise ValueError(f"Task was canceled. Partial output: {extracted_text}") + else: + raise ValueError("Task was canceled") + + if state == "rejected": + if extracted_text: + raise ValueError(f"Task was rejected. Output: {extracted_text}") + else: + raise ValueError("Task was rejected") + + # For completed tasks, return the extracted text + if extracted_text: + return extracted_text + + raise ValueError("Could not extract text from task result") + + def send_prompt( + self, + prompt: str, + poll_interval_s: float = 0.5, + timeout_s: Optional[float] = None, + ) -> str: + """Send prompt to A2A endpoint and get response. + + Args: + prompt: The prompt text to send + poll_interval_s: Polling interval for task status (default: 0.5s) + timeout_s: Timeout for task completion (default: config timeout) + + Returns: + Plain text response from the agent + + Raises: + requests.RequestException: On network or HTTP errors + ValueError: On invalid response format + TimeoutError: If task doesn't complete in time + Exception: On any other error + """ + if timeout_s is None: + timeout_s = float(self.config.timeout_seconds) + + try: + # Build message per A2A spec: role + parts[{kind:"text", text:"..."}] + message = { + "role": "user", + "parts": [{"kind": "text", "text": prompt}], + "messageId": str(uuid.uuid4()), + } + + logger.debug(f"Sending message to {self.rpc_url}") + + # Send message via JSON-RPC + result = self._jsonrpc_call( + "message/send", + params={"message": message, "metadata": {}}, + request_id=1, + ) + + # The server can return either a Message or a Task + if result.get("kind") != "task": + # It's a Message object - extract text directly + logger.debug("Received direct message response") + return self._extract_text_from_message(result) + + # It's a Task - poll for completion + task_id = result["id"] + logger.debug(f"Received task {task_id}, polling for completion") + + deadline = time.time() + timeout_s + request_id = 2 + + while time.time() < deadline: + task = self._jsonrpc_call( + "tasks/get", + params={"id": task_id}, + request_id=request_id, + ) + request_id += 1 + + logger.debug("Task poll response: %s", task) + + state = task.get("status", {}).get("state") + logger.debug(f"Task {task_id} state: {state}") + + if state in {"completed", "failed", "canceled", "rejected"}: + return self._extract_text_from_task(task) + + time.sleep(poll_interval_s) + + raise TimeoutError(f"Task {task_id} did not finish within {timeout_s}s") + + except requests.Timeout as e: + logger.error(f"A2A request timed out: {e}") + raise + except requests.RequestException as e: + logger.error(f"A2A request failed: {type(e).__name__}: {e}") + raise + except Exception as e: + logger.error(f"A2A request failed: {type(e).__name__}: {e}") + raise + + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/config.py b/exgentic_a2a_runner/exgentic_a2a_runner/config.py new file mode 100644 index 0000000..a2a230b --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/config.py @@ -0,0 +1,143 @@ +"""Configuration management for Exgentic A2A Runner. + +Configuration is loaded from environment variables with optional CLI overrides. +""" + +import os +from dataclasses import dataclass +from typing import Optional + + +def _get_bool(key: str, default: bool = False) -> bool: + """Get boolean value from environment variable.""" + value = os.getenv(key, "").lower() + if value in ("1", "true", "yes", "on"): + return True + elif value in ("0", "false", "no", "off"): + return False + return default + + +def _get_int(key: str, default: Optional[int] = None) -> Optional[int]: + """Get integer value from environment variable.""" + value = os.getenv(key) + if value is None: + return default + try: + return int(value) + except ValueError: + return default + + +@dataclass +class ExgenticConfig: + """Exgentic MCP server configuration.""" + + mcp_server_url: str + mcp_timeout_seconds: int = 60 + max_tasks: Optional[int] = None + abort_on_failure: bool = False + max_parallel_sessions: int = 1 + + @classmethod + def from_env(cls) -> "ExgenticConfig": + """Load Exgentic configuration from environment variables.""" + mcp_server_url = os.getenv("EXGENTIC_MCP_SERVER_URL") + if not mcp_server_url: + raise ValueError("EXGENTIC_MCP_SERVER_URL environment variable is required") + + return cls( + mcp_server_url=mcp_server_url, + mcp_timeout_seconds=_get_int("EXGENTIC_MCP_TIMEOUT_SECONDS", 60) or 60, + max_tasks=_get_int("MAX_TASKS"), + abort_on_failure=_get_bool("ABORT_ON_FAILURE", False), + max_parallel_sessions=_get_int("MAX_PARALLEL_SESSIONS", 1) or 1, + ) + + +@dataclass +class A2AConfig: + """A2A endpoint configuration.""" + + base_url: str + timeout_seconds: int = 300 + auth_token: Optional[str] = None + verify_tls: bool = True + endpoint_path: str = "/v1/chat" + + @classmethod + def from_env(cls) -> "A2AConfig": + """Load A2A configuration from environment variables.""" + base_url = os.getenv("A2A_BASE_URL") + if not base_url: + raise ValueError("A2A_BASE_URL environment variable is required") + + return cls( + base_url=base_url, + timeout_seconds=_get_int("A2A_TIMEOUT_SECONDS", 300) or 300, + auth_token=os.getenv("A2A_AUTH_TOKEN"), + verify_tls=_get_bool("A2A_VERIFY_TLS", True), + endpoint_path=os.getenv("A2A_ENDPOINT_PATH", "/v1/chat"), + ) + + +@dataclass +class OTELConfig: + """OpenTelemetry configuration.""" + + service_name: str = "exgentic-a2a-runner" + exporter_endpoint: Optional[str] = None + exporter_protocol: str = "grpc" + resource_attributes: Optional[str] = None + instrument_requests: bool = True + exporter_insecure: bool = True + + @classmethod + def from_env(cls) -> "OTELConfig": + """Load OTEL configuration from environment variables.""" + return cls( + service_name=os.getenv("OTEL_SERVICE_NAME", "exgentic-a2a-runner"), + exporter_endpoint=os.getenv("OTEL_EXPORTER_OTLP_ENDPOINT"), + exporter_protocol=os.getenv("OTEL_EXPORTER_OTLP_PROTOCOL", "grpc"), + resource_attributes=os.getenv("OTEL_RESOURCE_ATTRIBUTES"), + instrument_requests=_get_bool("OTEL_INSTRUMENT_REQUESTS", True), + exporter_insecure=_get_bool("OTEL_EXPORTER_OTLP_INSECURE", True), + ) + + +@dataclass +class DebugConfig: + """Debug and logging configuration.""" + + log_prompt: bool = False + log_response: bool = False + + @classmethod + def from_env(cls) -> "DebugConfig": + """Load debug configuration from environment variables.""" + return cls( + log_prompt=_get_bool("LOG_PROMPT", False), + log_response=_get_bool("LOG_RESPONSE", False), + ) + + +@dataclass +class Config: + """Complete runner configuration.""" + + exgentic: ExgenticConfig + a2a: A2AConfig + otel: OTELConfig + debug: DebugConfig + + @classmethod + def from_env(cls) -> "Config": + """Load complete configuration from environment variables.""" + return cls( + exgentic=ExgenticConfig.from_env(), + a2a=A2AConfig.from_env(), + otel=OTELConfig.from_env(), + debug=DebugConfig.from_env(), + ) + + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/exgentic_adapter.py b/exgentic_a2a_runner/exgentic_a2a_runner/exgentic_adapter.py new file mode 100644 index 0000000..dd12b78 --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/exgentic_adapter.py @@ -0,0 +1,187 @@ +"""Exgentic adapter for session management and task execution. + +Provides high-level interface to Exgentic MCP server operations. +""" + +import logging +import time +from dataclasses import dataclass +from typing import Iterator, Optional + +from .config import ExgenticConfig +from .mcp_client import MCPClient + +logger = logging.getLogger(__name__) + + +@dataclass +class SessionData: + """Container for session data from Exgentic.""" + + session_id: str + task: str + created_at: float + + +class ExgenticAdapter: + """Adapter for accessing Exgentic benchmark sessions.""" + + def __init__(self, config: ExgenticConfig): + """Initialize Exgentic adapter. + + Args: + config: Exgentic configuration + """ + self.config = config + self.mcp_client = MCPClient(config) + self._initialized = False + self._session_count = 0 + + def initialize(self) -> None: + """Initialize Exgentic adapter and MCP client.""" + logger.info("Initializing Exgentic adapter") + self.mcp_client.initialize() + self._initialized = True + logger.info("Exgentic adapter initialized successfully") + + def shutdown(self) -> None: + """Shutdown Exgentic adapter and MCP client.""" + if self._initialized: + logger.info("Shutting down Exgentic adapter") + self.mcp_client.shutdown() + self._initialized = False + + def create_session(self, task_id: Optional[str] = None) -> SessionData: + """Create a new benchmark session. + + Args: + task_id: Optional task ID. If not provided, will use the first available task. + + Returns: + SessionData containing session_id and task + + Raises: + RuntimeError: If adapter not initialized or session creation fails + """ + if not self._initialized: + raise RuntimeError("Exgentic adapter not initialized. Call initialize() first.") + + logger.info(f"Creating new session{f' for task {task_id}' if task_id else ''}") + created_at = time.time() + + try: + session_id, task = self.mcp_client.create_session(task_id=task_id) + + self._session_count += 1 + logger.info(f"Created session {self._session_count}: {session_id}") + + return SessionData( + session_id=session_id, + task=task, + created_at=created_at, + ) + + except Exception as e: + logger.error(f"Failed to create session: {e}") + raise + + def evaluate_session(self, session_id: str) -> bool: + """Evaluate a benchmark session. + + Args: + session_id: Session identifier + + Returns: + True if session was successful, False otherwise + + Raises: + RuntimeError: If adapter not initialized or evaluation fails + """ + if not self._initialized: + raise RuntimeError("Exgentic adapter not initialized. Call initialize() first.") + + logger.info(f"Evaluating session: {session_id}") + + try: + result = self.mcp_client.evaluate_session(session_id) + success = result.get("success", False) + logger.info(f"Session {session_id} evaluation: {'success' if success else 'failed'} {result}") + return success + + except Exception as e: + logger.error(f"Failed to evaluate session {session_id}: {e}") + raise + + def delete_session(self, session_id: str) -> None: + """Delete a benchmark session. + + Args: + session_id: Session identifier + + Raises: + RuntimeError: If adapter not initialized or deletion fails + """ + if not self._initialized: + raise RuntimeError("Exgentic adapter not initialized. Call initialize() first.") + + logger.info(f"Deleting session: {session_id}") + + try: + self.mcp_client.delete_session(session_id) + logger.info(f"Session {session_id} deleted successfully") + + except Exception as e: + logger.error(f"Failed to delete session {session_id}: {e}") + raise + + def get_task_ids(self) -> list[str]: + """Get list of all available task IDs from the MCP server. + + Returns: + List of task ID strings + + Raises: + RuntimeError: If adapter not initialized or task listing fails + """ + if not self._initialized: + raise RuntimeError("Exgentic adapter not initialized. Call initialize() first.") + + logger.info("Fetching list of available tasks") + task_ids = self.mcp_client.list_tasks() + logger.info(f"Found {len(task_ids)} available tasks") + return task_ids + + def iterate_sessions(self, task_ids: list[str]) -> Iterator[SessionData]: + """Iterate over benchmark sessions for given task IDs. + + Creates sessions sequentially for each task ID, respecting max_tasks configuration. + + Args: + task_ids: List of task IDs to process + + Yields: + SessionData for each session + """ + if not self._initialized: + raise RuntimeError("Exgentic adapter not initialized. Call initialize() first.") + + max_tasks = self.config.max_tasks + + # Limit task_ids if max_tasks is set + if max_tasks is not None: + task_ids = task_ids[:max_tasks] + logger.info(f"Processing {len(task_ids)} tasks (limited by max_tasks={max_tasks})") + else: + logger.info(f"Processing all {len(task_ids)} tasks") + + for idx, task_id in enumerate(task_ids, 1): + try: + logger.info(f"Creating session {idx}/{len(task_ids)} for task {task_id}") + session_data = self.create_session(task_id=task_id) + yield session_data + + except Exception as e: + logger.error(f"Failed to create session {idx} for task {task_id}: {e}") + raise + + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/mcp_client.py b/exgentic_a2a_runner/exgentic_a2a_runner/mcp_client.py new file mode 100644 index 0000000..9253a06 --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/mcp_client.py @@ -0,0 +1,281 @@ +"""MCP client for communicating with Exgentic MCP server. + +Uses streamable HTTP transport to interact with the Exgentic benchmark server. +""" + +import asyncio +import logging +from typing import Any, Dict, Optional, Tuple + +from mcp import ClientSession +from mcp.client.streamable_http import streamable_http_client + +from .config import ExgenticConfig + +logger = logging.getLogger(__name__) + + +class MCPClient: + """Client for MCP protocol communication with Exgentic server via streamable HTTP.""" + + def __init__(self, config: ExgenticConfig): + """Initialize MCP client. + + Args: + config: Exgentic configuration + """ + self.config = config + self.mcp_url = config.mcp_server_url + self.session: Optional[ClientSession] = None + self._initialized = False + + logger.info(f"Initialized MCP client for {self.mcp_url}") + + def initialize(self) -> None: + """Initialize MCP client connection. + + Raises: + RuntimeError: If connection fails + """ + logger.info(f"Initializing MCP client for {self.mcp_url}") + + try: + # Run async initialization + asyncio.run(self._async_initialize()) + self._initialized = True + logger.info("MCP client initialized successfully") + + except Exception as e: + logger.error(f"Failed to initialize MCP client: {e}") + raise RuntimeError(f"MCP client initialization failed: {e}") + + async def _async_initialize(self) -> None: + """Async initialization of MCP client.""" + # Create streamable HTTP client + async with streamable_http_client(self.mcp_url) as (read, write, get_session_id): + async with ClientSession(read, write) as session: + self.session = session + + # Initialize the session + await session.initialize() + + # List available tools to verify connection + tools_result = await session.list_tools() + logger.info(f"Connected to MCP server with {len(tools_result.tools)} tools available") + + def shutdown(self) -> None: + """Shutdown MCP client connection.""" + if self._initialized: + try: + # Session cleanup is handled by context managers + logger.info("MCP client shutdown complete") + except Exception as e: + logger.warning(f"Error during MCP client shutdown: {e}") + self._initialized = False + + def list_tasks(self) -> list[str]: + """List all available task IDs. + + Returns: + List of task ID strings + + Raises: + RuntimeError: If task listing fails + """ + if not self._initialized: + raise RuntimeError("MCP client not initialized") + + logger.info("Listing available tasks") + + try: + tasks = asyncio.run(self._async_list_tasks()) + logger.info(f"Found {len(tasks)} tasks") + return tasks + + except Exception as e: + logger.error(f"Failed to list tasks: {e}") + raise RuntimeError(f"Task listing failed: {e}") + + def create_session(self, task_id: str) -> Tuple[str, str]: + """Create a new benchmark session. + + Args: + task_id: Optional task ID. If not provided, will use the first available task. + + Returns: + Tuple of (session_id, task_description) + + Raises: + RuntimeError: If session creation fails + """ + if not self._initialized: + raise RuntimeError("MCP client not initialized") + + logger.info("Creating new benchmark session") + + try: + + # At this point task_id is guaranteed to be a string + assert task_id is not None, "task_id should not be None" + result = asyncio.run(self._async_create_session(task_id)) + session_id = result["session_id"] + task = result.get("task", result.get("task_description", "")) + + logger.info(f"Created session {session_id} for task {task_id}") + return session_id, task + + except Exception as e: + logger.error(f"Failed to create session: {e}") + raise RuntimeError(f"Session creation failed: {e}") + + async def _async_list_tasks(self) -> list: + """Async task listing.""" + async with streamable_http_client(self.mcp_url) as (read, write, get_session_id): + async with ClientSession(read, write) as session: + await session.initialize() + + # Call list_tasks tool + result = await session.call_tool("list_tasks", arguments={}) + + if not result.content: + raise RuntimeError("Empty response from list_tasks") + + # Extract result from content + content = result.content[0] + if hasattr(content, 'text'): + import json + data = json.loads(content.text) + # tasks is a list of task ID strings + return data.get("tasks", []) + else: + raise RuntimeError(f"Unexpected content type: {type(content)}") + + async def _async_create_session(self, task_id: str) -> Dict[str, Any]: + """Async session creation.""" + async with streamable_http_client(self.mcp_url) as (read, write, get_session_id): + async with ClientSession(read, write) as session: + await session.initialize() + + # Call create_session tool with task_id + result = await session.call_tool("create_session", arguments={"task_id": task_id}) + + if not result.content: + raise RuntimeError("Empty response from create_session") + + # Check if it's an error response + if result.isError: + content = result.content[0] + error_msg = content.text if hasattr(content, 'text') else str(content) + raise RuntimeError(f"MCP tool error: {error_msg}") + + # Extract result from content + content = result.content[0] + if hasattr(content, 'text'): + import json + return json.loads(content.text) + else: + raise RuntimeError(f"Unexpected content type: {type(content)}") + + def evaluate_session(self, session_id: str) -> Dict[str, Any]: + """Evaluate a benchmark session. + + Args: + session_id: Session ID to evaluate + + Returns: + Evaluation results + + Raises: + RuntimeError: If evaluation fails + """ + if not self._initialized: + raise RuntimeError("MCP client not initialized") + + logger.info(f"Evaluating session {session_id}") + + try: + result = asyncio.run(self._async_evaluate_session(session_id)) + logger.info(f"Session {session_id} evaluation complete") + return result + + except Exception as e: + logger.error(f"Failed to evaluate session {session_id}: {e}") + raise RuntimeError(f"Session evaluation failed: {e}") + + async def _async_evaluate_session(self, session_id: str) -> Dict[str, Any]: + """Async session evaluation.""" + async with streamable_http_client(self.mcp_url) as (read, write, get_session_id): + async with ClientSession(read, write) as session: + await session.initialize() + + # Call evaluate_session tool + result = await session.call_tool( + "evaluate_session", + arguments={"session_id": session_id} + ) + + if not result.content: + raise RuntimeError("Empty response from evaluate_session") + + # Extract result from content + content = result.content[0] + if hasattr(content, 'text'): + import json + return json.loads(content.text) + else: + raise RuntimeError(f"Unexpected content type: {type(content)}") + + def delete_session(self, session_id: str) -> None: + """Delete a benchmark session. + + Args: + session_id: Session ID to delete + + Raises: + RuntimeError: If session deletion fails + """ + if not self._initialized: + raise RuntimeError("MCP client not initialized") + + logger.info(f"Deleting session {session_id}") + + try: + asyncio.run(self._async_delete_session(session_id)) + logger.info(f"Session {session_id} deleted") + + except Exception as e: + logger.error(f"Failed to delete session {session_id}: {e}") + raise RuntimeError(f"Session deletion failed: {e}") + + async def _async_delete_session(self, session_id: str) -> None: + """Async session deletion.""" + async with streamable_http_client(self.mcp_url) as (read, write, get_session_id): + async with ClientSession(read, write) as session: + await session.initialize() + + # Call delete_session tool + result = await session.call_tool( + "delete_session", + arguments={"session_id": session_id} + ) + + # Check if the operation was successful + if not result.content: + raise RuntimeError("Empty response from delete_session") + + # Check if it's an error response + if result.isError: + content = result.content[0] + error_msg = content.text if hasattr(content, 'text') else str(content) + raise RuntimeError(f"Failed to delete session: {error_msg}") + + # Verify success response + content = result.content[0] + if hasattr(content, 'text'): + import json + response = json.loads(content.text) + # Check for either "success" field or "status" field + status = response.get("status", "") + if not (status == "success"): + raise RuntimeError(f"Session deletion failed: {response}") + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/otel.py b/exgentic_a2a_runner/exgentic_a2a_runner/otel.py new file mode 100644 index 0000000..92539c0 --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/otel.py @@ -0,0 +1,373 @@ +"""OpenTelemetry instrumentation for Exgentic A2A Runner. + +Provides traces, metrics, and logs for monitoring session execution. +""" + +import logging +import time +from contextlib import contextmanager +from typing import Iterator, Optional + +from opentelemetry import metrics, trace +from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import OTLPMetricExporter +from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter +from opentelemetry.instrumentation.requests import RequestsInstrumentor +from opentelemetry.sdk.metrics import MeterProvider +from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader +from opentelemetry.sdk.resources import Resource +from opentelemetry.sdk.trace import TracerProvider +from opentelemetry.sdk.trace.export import BatchSpanProcessor, ConsoleSpanExporter +from opentelemetry.trace import Status, StatusCode + +from .config import OTELConfig + +logger = logging.getLogger(__name__) + + +class OTELInstrumentation: + """OpenTelemetry instrumentation manager.""" + + def __init__(self, config: OTELConfig): + """Initialize OTEL instrumentation. + + Args: + config: OTEL configuration + """ + self.config = config + self.tracer: Optional[trace.Tracer] = None + self.meter: Optional[metrics.Meter] = None + self._trace_provider: Optional[TracerProvider] = None + self._meter_provider: Optional[MeterProvider] = None + + # Metrics + self.sessions_counter: Optional[metrics.Counter] = None + self.errors_counter: Optional[metrics.Counter] = None + self.session_latency_histogram: Optional[metrics.Histogram] = None + self.evaluation_latency_histogram: Optional[metrics.Histogram] = None + self.session_creation_latency_histogram: Optional[metrics.Histogram] = None + self.a2a_latency_histogram: Optional[metrics.Histogram] = None + self.prompt_size_histogram: Optional[metrics.Histogram] = None + self.response_size_histogram: Optional[metrics.Histogram] = None + self.inflight_sessions_gauge: Optional[metrics.UpDownCounter] = None + self._requests_instrumented = False + + def initialize(self) -> None: + """Initialize OTEL providers and instruments.""" + logger.info("Initializing OpenTelemetry instrumentation") + + # Create resource with service name and attributes + resource_attrs = {"service.name": self.config.service_name} + if self.config.resource_attributes: + # Parse resource attributes (format: key1=val1,key2=val2) + for attr in self.config.resource_attributes.split(","): + if "=" in attr: + key, value = attr.split("=", 1) + resource_attrs[key.strip()] = value.strip() + + resource = Resource.create(resource_attrs) + + # Initialize tracing + self._initialize_tracing(resource) + + # Initialize auto-instrumentation + self._initialize_auto_instrumentation() + + # Initialize metrics + self._initialize_metrics(resource) + + logger.info("OpenTelemetry instrumentation initialized") + + def _initialize_tracing(self, resource: Resource) -> None: + """Initialize tracing provider and exporter.""" + trace_provider = TracerProvider(resource=resource) + + if self.config.exporter_endpoint: + # Use OTLP exporter + logger.info(f"Configuring OTLP trace exporter: {self.config.exporter_endpoint}") + span_exporter = OTLPSpanExporter( + endpoint=self.config.exporter_endpoint, + insecure=self.config.exporter_insecure, + ) + else: + # Use console exporter for development + logger.info("Using console trace exporter (no OTLP endpoint configured)") + span_exporter = ConsoleSpanExporter() + + trace_provider.add_span_processor(BatchSpanProcessor(span_exporter)) + trace.set_tracer_provider(trace_provider) + self._trace_provider = trace_provider + + self.tracer = trace.get_tracer(__name__) + + def _initialize_auto_instrumentation(self) -> None: + """Initialize opt-in auto instrumentation.""" + if not self.config.instrument_requests: + logger.info("Requests auto-instrumentation disabled") + return + + if self._requests_instrumented: + return + + RequestsInstrumentor().instrument() + self._requests_instrumented = True + logger.info("Enabled OpenTelemetry requests auto-instrumentation") + + def _initialize_metrics(self, resource: Resource) -> None: + """Initialize metrics provider and instruments.""" + metric_readers = [] + + if self.config.exporter_endpoint: + # Use OTLP exporter + logger.info(f"Configuring OTLP metric exporter: {self.config.exporter_endpoint}") + metric_exporter = OTLPMetricExporter( + endpoint=self.config.exporter_endpoint, + insecure=self.config.exporter_insecure, + ) + metric_reader = PeriodicExportingMetricReader(metric_exporter) + metric_readers.append(metric_reader) + else: + # No exporter configured - metrics will be collected but not exported + logger.info("No OTLP endpoint configured, metrics will not be exported") + + meter_provider = MeterProvider( + resource=resource, + metric_readers=metric_readers, + ) + metrics.set_meter_provider(meter_provider) + self._meter_provider = meter_provider + + self.meter = metrics.get_meter(__name__) + + # Create metric instruments + self.sessions_counter = self.meter.create_counter( + name="exgentic_a2a_sessions_total", + description="Total number of sessions processed", + unit="1", + ) + + self.errors_counter = self.meter.create_counter( + name="exgentic_a2a_errors_total", + description="Total number of errors", + unit="1", + ) + + self.session_latency_histogram = self.meter.create_histogram( + name="exgentic_a2a_session_latency_ms", + description="Session processing latency in milliseconds", + unit="ms", + ) + + self.evaluation_latency_histogram = self.meter.create_histogram( + name="exgentic_a2a_evaluation_latency_ms", + description="Session evaluation latency in milliseconds", + unit="ms", + ) + + self.session_creation_latency_histogram = self.meter.create_histogram( + name="exgentic_a2a_session_creation_latency_ms", + description="Session creation latency in milliseconds", + unit="ms", + ) + + self.a2a_latency_histogram = self.meter.create_histogram( + name="exgentic_a2a_a2a_latency_ms", + description="A2A request latency in milliseconds", + unit="ms", + ) + + self.prompt_size_histogram = self.meter.create_histogram( + name="exgentic_a2a_prompt_size_chars", + description="Prompt size in characters", + unit="chars", + ) + + self.response_size_histogram = self.meter.create_histogram( + name="exgentic_a2a_response_size_chars", + description="Response size in characters", + unit="chars", + ) + + self.inflight_sessions_gauge = self.meter.create_up_down_counter( + name="exgentic_a2a_inflight_sessions", + description="Number of sessions currently in flight", + unit="1", + ) + + def shutdown(self) -> None: + """Shut down OTEL providers to flush pending spans and metrics.""" + logger.info("Shutting down OpenTelemetry providers") + if self._trace_provider: + self._trace_provider.shutdown() + if self._meter_provider: + self._meter_provider.shutdown() + + @contextmanager + def session_span( + self, + session_id: str, + mcp_server_url: str, + a2a_base_url: str, + a2a_timeout: int, + ) -> Iterator[trace.Span]: + """Create a span for session processing. + + Args: + session_id: Session identifier + mcp_server_url: MCP server URL + a2a_base_url: A2A endpoint URL (sanitized) + a2a_timeout: A2A timeout in seconds + + Yields: + Span object for adding events and attributes + """ + if not self.tracer: + raise RuntimeError("OTEL not initialized") + + # Increment inflight gauge + if self.inflight_sessions_gauge: + self.inflight_sessions_gauge.add(1) + + start_time = time.time() + + with self.tracer.start_as_current_span("exgentic_a2a.session") as span: + # Set span attributes + span.set_attribute("exgentic.session_id", session_id) + span.set_attribute("exgentic.mcp_server_url", mcp_server_url) + span.set_attribute("a2a.base_url", a2a_base_url) + span.set_attribute("a2a.timeout_seconds", a2a_timeout) + + try: + yield span + finally: + # Decrement inflight gauge + if self.inflight_sessions_gauge: + self.inflight_sessions_gauge.add(-1) + + # Record session latency + latency_ms = (time.time() - start_time) * 1000 + if self.session_latency_histogram: + self.session_latency_histogram.record(latency_ms) + + @contextmanager + def child_span(self, name: str) -> Iterator[trace.Span]: + """Create a child span under the current context.""" + if not self.tracer: + raise RuntimeError("OTEL not initialized") + + with self.tracer.start_as_current_span(name) as span: + yield span + + def record_prompt(self, span: trace.Span, prompt: str) -> None: + """Record prompt information. + + Args: + span: Current span + prompt: Prompt text + """ + prompt_chars = len(prompt) + span.set_attribute("prompt.chars", prompt_chars) + span.set_attribute("prompt.text", prompt) + span.add_event("prompt_built") + + if self.prompt_size_histogram: + self.prompt_size_histogram.record(prompt_chars) + + def record_a2a_request( + self, + span: trace.Span, + duration_ms: float, + ) -> None: + """Record A2A request metrics. + + Args: + span: Current span + duration_ms: Request duration in milliseconds + """ + span.set_attribute("a2a.duration_ms", duration_ms) + + if self.a2a_latency_histogram: + self.a2a_latency_histogram.record(duration_ms) + + def record_response(self, span: trace.Span, response: str) -> None: + """Record response information. + + Args: + span: Current span + response: Response text + """ + response_chars = len(response) + span.set_attribute("response.chars", response_chars) + span.set_attribute("response.text", response) + + if self.response_size_histogram: + self.response_size_histogram.record(response_chars) + + def record_success(self, span: trace.Span, evaluation_result: bool) -> None: + """Record successful session completion. + + Args: + span: Current span + evaluation_result: Whether the session evaluation was successful + """ + span.set_attribute("session.status", "success") + span.set_attribute("exgentic.evaluation_result", evaluation_result) + span.set_status(Status(StatusCode.OK)) + + if self.sessions_counter: + self.sessions_counter.add(1, {"status": "success"}) + + def record_failure( + self, + span: trace.Span, + error: Exception, + error_type: str, + ) -> None: + """Record session failure. + + Args: + span: Current span + error: Exception that caused failure + error_type: Error type classification + """ + span.set_attribute("session.status", "failed") + span.add_event( + "session_failed", + attributes={ + "error.type": error_type, + "error.message": str(error), + }, + ) + span.set_status(Status(StatusCode.ERROR, str(error))) + span.record_exception(error) + + if self.sessions_counter: + self.sessions_counter.add(1, {"status": "failed"}) + + if self.errors_counter: + self.errors_counter.add(1, {"error_type": error_type}) + + def record_evaluation(self, span: trace.Span, duration_ms: float) -> None: + """Record session evaluation metrics. + + Args: + span: Current span + duration_ms: Evaluation duration in milliseconds + """ + span.set_attribute("exgentic.evaluation_duration_ms", duration_ms) + + if self.evaluation_latency_histogram: + self.evaluation_latency_histogram.record(duration_ms) + + def record_session_creation(self, span: trace.Span, duration_ms: float) -> None: + """Record session creation metrics. + + Args: + span: Current span + duration_ms: Creation duration in milliseconds + """ + span.set_attribute("exgentic.session_creation_duration_ms", duration_ms) + + if self.session_creation_latency_histogram: + self.session_creation_latency_histogram.record(duration_ms) + + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/prompt.py b/exgentic_a2a_runner/exgentic_a2a_runner/prompt.py new file mode 100644 index 0000000..580e40a --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/prompt.py @@ -0,0 +1,32 @@ +"""Prompt construction for Exgentic A2A Runner. + +Builds prompts with session_id for agent to use with benchmark tools. +""" + + +def build_prompt(task: str, session_id: str) -> str: + """Build prompt with task and session_id. + + The prompt format includes the task description and explicitly instructs + the agent to use the provided session_id in all interactions with the + benchmark tools. + + Args: + task: Task description from Exgentic MCP server + session_id: Session identifier to use for tool calls + + Returns: + Formatted prompt string + """ + prompt = f"""The task you are to complete is: +{task} + +IMPORTANT: Use session id "{session_id}" in all your interactions with the benchmark tools. + +When calling any benchmark-related tools or APIs, you MUST include the session_id parameter with the value "{session_id}". This ensures your actions are properly tracked and evaluated within the correct benchmark session. + +If you are asked to submit an answer, make sure you call the submit MCP tool.""" + + return prompt + + diff --git a/exgentic_a2a_runner/exgentic_a2a_runner/runner.py b/exgentic_a2a_runner/exgentic_a2a_runner/runner.py new file mode 100644 index 0000000..4abfed5 --- /dev/null +++ b/exgentic_a2a_runner/exgentic_a2a_runner/runner.py @@ -0,0 +1,438 @@ +"""Main runner for Exgentic A2A Runner. + +Orchestrates session creation, A2A calls, evaluation, and telemetry collection. +""" + +import argparse +import logging +import sys +import threading +import time +from concurrent.futures import ThreadPoolExecutor, as_completed +from typing import List, Optional + +from .a2a_client import A2AProxyClient +from .config import Config +from .exgentic_adapter import ExgenticAdapter, SessionData +from .otel import OTELInstrumentation +from .prompt import build_prompt + +# Configure logging +logging.basicConfig( + level=logging.INFO, + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", +) +logger = logging.getLogger(__name__) + +# Suppress verbose logs from third-party libraries +logging.getLogger("httpcore").setLevel(logging.WARNING) +logging.getLogger("httpx").setLevel(logging.WARNING) +logging.getLogger("urllib3").setLevel(logging.WARNING) +logging.getLogger("mcp.client.streamable_http").setLevel(logging.WARNING) + + +class SessionResult: + """Result of a single session execution.""" + + def __init__( + self, + session_id: str, + success: bool, + latency_ms: float, + evaluation_result: bool, + error: Optional[str] = None, + response_chars: Optional[int] = None, + ): + self.session_id = session_id + self.success = success + self.latency_ms = latency_ms + self.evaluation_result = evaluation_result + self.error = error + self.response_chars = response_chars + + +class RunSummary: + """Summary of the entire run.""" + + def __init__(self): + self.start_time = time.time() + self.results: List[SessionResult] = [] + self._lock = threading.Lock() + + def add_result(self, result: SessionResult) -> None: + """Add a session result (thread-safe).""" + with self._lock: + self.results.append(result) + + def get_summary(self) -> dict: + """Get summary statistics.""" + total_time = time.time() - self.start_time + attempted = len(self.results) + succeeded = sum(1 for r in self.results if r.success) + failed = attempted - succeeded + + # Calculate evaluation success rate + evaluated = sum(1 for r in self.results if r.success) + eval_succeeded = sum(1 for r in self.results if r.success and r.evaluation_result) + eval_success_rate = (eval_succeeded / evaluated * 100) if evaluated > 0 else 0 + + latencies = [r.latency_ms for r in self.results] + avg_latency = sum(latencies) / len(latencies) if latencies else 0 + + # Calculate percentiles + sorted_latencies = sorted(latencies) + p50 = sorted_latencies[len(sorted_latencies) // 2] if sorted_latencies else 0 + p95_idx = min(int(len(sorted_latencies) * 0.95), len(sorted_latencies) - 1) + p95 = sorted_latencies[p95_idx] if sorted_latencies else 0 + + return { + "sessions_attempted": attempted, + "sessions_succeeded": succeeded, + "sessions_failed": failed, + "evaluation_success_rate": eval_success_rate, + "total_wall_time_seconds": total_time, + "average_latency_ms": avg_latency, + "p50_latency_ms": p50, + "p95_latency_ms": p95, + } + + def print_summary(self, max_parallel_sessions: int = 1) -> None: + """Print summary to console. + + Args: + max_parallel_sessions: Maximum number of parallel sessions configured + """ + summary = self.get_summary() + + print("\n" + "=" * 60) + print("RUN SUMMARY") + print("=" * 60) + print(f"Max Parallel Sessions: {max_parallel_sessions}") + print(f"Sessions Attempted: {summary['sessions_attempted']}") + print(f"Sessions Succeeded: {summary['sessions_succeeded']}") + print(f"Sessions Failed: {summary['sessions_failed']}") + print(f"Evaluation Success: {summary['evaluation_success_rate']:.1f}%") + print(f"Total Wall Time: {summary['total_wall_time_seconds']:.2f}s") + print(f"Average Latency: {summary['average_latency_ms']:.2f}ms") + print(f"P50 Latency: {summary['p50_latency_ms']:.2f}ms") + print(f"P95 Latency: {summary['p95_latency_ms']:.2f}ms") + print("=" * 60) + + # Print error table if there are any failures + failed_results = [r for r in self.results if not r.success and r.error] + if failed_results: + print("\nFAILED SESSIONS") + print("=" * 60) + print(f"{'Session ID':<40} {'Error':<20}") + print("-" * 60) + for result in failed_results: + # Truncate error message if too long + error = result.error or "Unknown error" + error_msg = error[:100] + "..." if len(error) > 100 else error + print(f"{result.session_id:<40} {error_msg:<20}") + print("=" * 60) + + print() + + +class Runner: + """Main runner orchestrating session execution.""" + + def __init__(self, config: Config): + """Initialize runner. + + Args: + config: Complete configuration + """ + self.config = config + self.exgentic = ExgenticAdapter(config.exgentic) + self.a2a_client = A2AProxyClient(config.a2a) + self.otel = OTELInstrumentation(config.otel) + self.summary = RunSummary() + self.max_parallel_sessions = config.exgentic.max_parallel_sessions + + def initialize(self) -> None: + """Initialize all components.""" + logger.info("Initializing runner components") + self.otel.initialize() + self.exgentic.initialize() + logger.info("Runner initialization complete") + + def process_session(self, session_data: SessionData) -> SessionResult: + """Process a single session. + + Follows the execution model from GitHub issue #963: + 1. Create session (already done) + 2. Build prompt with session_id + 3. Send to agent via A2A + 4. Evaluate session + 5. Close session + 6. Record statistics + + Args: + session_data: Session data from Exgentic + + Returns: + SessionResult with execution details + """ + session_id = session_data.session_id + start_time = time.time() + + logger.info(f"Processing session: {session_id}") + + # Start OTEL span + with self.otel.session_span( + session_id=session_id, + mcp_server_url=self.config.exgentic.mcp_server_url, + a2a_base_url=self.config.a2a.base_url, + a2a_timeout=self.config.a2a.timeout_seconds, + ) as span: + try: + # Build prompt with session_id + with self.otel.child_span("exgentic_a2a.prompt.build"): + prompt = build_prompt(session_data.task, session_data.session_id) + self.otel.record_prompt(span, prompt) + + if self.config.debug.log_prompt: + logger.debug(f"Prompt length: {len(prompt)} chars") + + # Send A2A request + a2a_start = time.time() + with self.otel.child_span("exgentic_a2a.a2a.send_prompt"): + response = self.a2a_client.send_prompt(prompt) + a2a_duration_ms = (time.time() - a2a_start) * 1000 + + self.otel.record_a2a_request(span, a2a_duration_ms) + self.otel.record_response(span, response) + + if self.config.debug.log_response: + logger.debug(f"Response length: {len(response)} chars") + + # Evaluate session + eval_start = time.time() + with self.otel.child_span("exgentic_a2a.mcp.evaluate_session"): + evaluation_result = self.exgentic.evaluate_session(session_id) + eval_duration_ms = (time.time() - eval_start) * 1000 + self.otel.record_evaluation(span, eval_duration_ms) + + # Delete session + with self.otel.child_span("exgentic_a2a.mcp.delete_session"): + self.exgentic.delete_session(session_id) + + # Record success + self.otel.record_success(span, evaluation_result) + + latency_ms = (time.time() - start_time) * 1000 + logger.info( + f"Session {session_id} completed in {latency_ms:.2f}ms " + f"(evaluation: {'success' if evaluation_result else 'failed'})" + ) + + return SessionResult( + session_id=session_id, + success=True, + latency_ms=latency_ms, + evaluation_result=evaluation_result, + response_chars=len(response), + ) + + except Exception as e: + # Classify error type + error_type = type(e).__name__ + error_msg = str(e) + + logger.error(f"Session {session_id} failed: {error_type}: {error_msg}") + + # Try to delete session even on failure + try: + with self.otel.child_span("exgentic_a2a.mcp.delete_session"): + self.exgentic.delete_session(session_id) + except Exception as delete_error: + logger.warning(f"Failed to delete session {session_id}: {delete_error}") + + # Record failure + self.otel.record_failure(span, e, error_type) + + latency_ms = (time.time() - start_time) * 1000 + + return SessionResult( + session_id=session_id, + success=False, + latency_ms=latency_ms, + evaluation_result=False, + error=f"{error_type}: {error_msg}", + ) + + def run(self) -> int: + """Run the session processing loop. + + Returns: + Exit code (0 for success, 1 for failure) + """ + try: + self.initialize() + + # Get list of all available task IDs + logger.info("Fetching available task IDs from Exgentic MCP server") + task_ids = self.exgentic.get_task_ids() + logger.info(f"Found {len(task_ids)} tasks to process") + + max_workers = self.config.exgentic.max_parallel_sessions + + if max_workers == 1: + # Sequential processing (original behavior) + logger.info("Processing sessions sequentially") + for session_data in self.exgentic.iterate_sessions(task_ids): + # Record session creation time + creation_time_ms = (time.time() - session_data.created_at) * 1000 + logger.debug(f"Session creation took {creation_time_ms:.2f}ms") + + result = self.process_session(session_data) + self.summary.add_result(result) + + # Check abort on failure + if not result.success and self.config.exgentic.abort_on_failure: + logger.error("Aborting due to session failure (ABORT_ON_FAILURE=true)") + break + else: + # Parallel processing + logger.info(f"Processing sessions in parallel with {max_workers} workers") + + # Collect all session data first + sessions = list(self.exgentic.iterate_sessions(task_ids)) + + # Process sessions in parallel + with ThreadPoolExecutor(max_workers=max_workers) as executor: + # Submit all sessions + future_to_session = { + executor.submit(self.process_session, session_data): session_data + for session_data in sessions + } + + # Process results as they complete + for future in as_completed(future_to_session): + session_data = future_to_session[future] + try: + result = future.result() + self.summary.add_result(result) + + # Check abort on failure + if not result.success and self.config.exgentic.abort_on_failure: + logger.error("Aborting due to session failure (ABORT_ON_FAILURE=true)") + # Cancel remaining futures + for f in future_to_session: + f.cancel() + break + except Exception as e: + logger.error(f"Session {session_data.session_id} raised exception: {e}") + # Create a failure result + result = SessionResult( + session_id=session_data.session_id, + success=False, + latency_ms=0, + evaluation_result=False, + error=str(e), + ) + self.summary.add_result(result) + + # Print summary + self.summary.print_summary(max_parallel_sessions=self.max_parallel_sessions) + + # Return success if at least one session succeeded + if any(r.success for r in self.summary.results): + return 0 + else: + return 1 + + except Exception as e: + logger.exception(f"Fatal error in runner: {e}") + return 1 + finally: + # Shutdown components + try: + self.exgentic.shutdown() + except Exception as e: + logger.warning(f"Error shutting down Exgentic adapter: {e}") + + self.otel.shutdown() + + +def parse_args() -> argparse.Namespace: + """Parse command line arguments. + + Returns: + Parsed arguments + """ + parser = argparse.ArgumentParser( + description="Exgentic A2A Runner", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Environment Variables: + EXGENTIC_MCP_SERVER_URL MCP server endpoint (required) + EXGENTIC_MCP_TIMEOUT_SECONDS MCP timeout in seconds (default: 60) + MAX_TASKS Maximum number of sessions to process + ABORT_ON_FAILURE Stop on first failure (default: false) + + A2A_BASE_URL A2A endpoint base URL (required) + A2A_TIMEOUT_SECONDS Request timeout in seconds (default: 300) + A2A_AUTH_TOKEN Bearer token for authentication + A2A_VERIFY_TLS Verify TLS certificates (default: true) + A2A_ENDPOINT_PATH Endpoint path (default: /v1/chat) + + OTEL_SERVICE_NAME Service name for telemetry (default: exgentic-a2a-runner) + OTEL_EXPORTER_OTLP_ENDPOINT OTLP exporter endpoint + OTEL_EXPORTER_OTLP_PROTOCOL OTLP protocol (default: grpc) + OTEL_RESOURCE_ATTRIBUTES Additional resource attributes + OTEL_EXPORTER_OTLP_INSECURE Use insecure connection for OTLP (default: true) + + LOG_PROMPT Log prompt details (default: 0) + LOG_RESPONSE Log response details (default: 0) + """, + ) + + parser.add_argument( + "--verbose", + "-v", + action="store_true", + help="Enable verbose logging", + ) + + return parser.parse_args() + + +def main() -> int: + """Main entry point. + + Returns: + Exit code + """ + args = parse_args() + + # Set log level + if args.verbose: + logging.getLogger().setLevel(logging.DEBUG) + + try: + # Load configuration from environment + config = Config.from_env() + logger.info(f"Configuration loaded: {config}") + + # Create and run + runner = Runner(config) + return runner.run() + + except ValueError as e: + logger.error(f"Configuration error: {e}") + return 1 + except KeyboardInterrupt: + logger.info("Interrupted by user") + return 130 + except Exception as e: + logger.exception(f"Unexpected error: {e}") + return 1 + + +if __name__ == "__main__": + sys.exit(main()) + + diff --git a/exgentic_a2a_runner/pyproject.toml b/exgentic_a2a_runner/pyproject.toml new file mode 100644 index 0000000..4523772 --- /dev/null +++ b/exgentic_a2a_runner/pyproject.toml @@ -0,0 +1,33 @@ +[build-system] +requires = ["setuptools>=61.0", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "exgentic-a2a-runner" +version = "0.1.0" +description = "Exgentic Benchmark A2A Runner for Kagenti" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "mcp>=0.9.0", + "requests>=2.28.0", + "opentelemetry-api>=1.20.0", + "opentelemetry-sdk>=1.20.0", + "opentelemetry-exporter-otlp>=1.20.0", + "opentelemetry-instrumentation-requests>=0.41b0", +] + +[project.optional-dependencies] +dev = [ + "pytest>=7.0.0", + "pytest-mock>=3.10.0", + "black>=23.0.0", + "mypy>=1.0.0", +] + +[tool.setuptools.packages.find] +where = ["."] +include = ["exgentic_a2a_runner*"] + +[project.scripts] +exgentic-a2a-runner = "exgentic_a2a_runner.runner:main" \ No newline at end of file diff --git a/exgentic_a2a_runner/run-with-port-forward.sh b/exgentic_a2a_runner/run-with-port-forward.sh new file mode 100755 index 0000000..4d35699 --- /dev/null +++ b/exgentic_a2a_runner/run-with-port-forward.sh @@ -0,0 +1,169 @@ +#!/bin/bash +# Helper script to set up port forwarding and run the Exgentic A2A Runner + +set -e + +echo "==========================================" +echo "Exgentic A2A Runner - Port Forward Setup" +echo "==========================================" +echo "" + +# Check if kubectl is available +if ! command -v kubectl &> /dev/null; then + echo "Error: kubectl is not installed or not in PATH" + exit 1 +fi + +# Check if we're connected to the right cluster +CURRENT_CONTEXT=$(kubectl config current-context) +echo "Current kubectl context: $CURRENT_CONTEXT" + +if [ "$CURRENT_CONTEXT" != "kind-kagenti" ]; then + echo "Warning: Not connected to kind-kagenti cluster" + read -p "Continue anyway? (y/n) " -n 1 -r + echo + if [[ ! $REPLY =~ ^[Yy]$ ]]; then + exit 1 + fi +fi + +# Load environment variables if .env exists +if [ -f "$(dirname "$0")/.env" ]; then + source "$(dirname "$0")/.env" +fi + +echo "" +echo "Setting up port forwarding..." +echo " - MCP Server: localhost:8000 -> $BENCHMARK_SERVICE.team1:8000" +echo " - A2A Agent: localhost:8081 -> $AGENT_SERVICE.team1:8080" +echo "" + +# Kill any existing port-forwards on these ports +echo "Cleaning up existing port-forwards on ports 8000 and 8081..." +# Kill any process using port 8000 +lsof -ti:8000 | xargs kill -9 2>/dev/null || true +# Kill any process using port 8081 +lsof -ti:8081 | xargs kill -9 2>/dev/null || true +sleep 2 + +# Check if pods are ready before port-forwarding +echo "Checking if pods are ready..." + +# Extract deployment names (remove -mcp suffix from BENCHMARK_SERVICE if present) +BENCHMARK_DEPLOYMENT="${BENCHMARK_SERVICE%-mcp}" +AGENT_DEPLOYMENT="$AGENT_SERVICE" + +# Wait for MCP server pod to be ready +echo " Checking MCP server pod..." +kubectl wait --for=condition=ready pod -l app.kubernetes.io/name=$BENCHMARK_DEPLOYMENT -n team1 --timeout=60s +if [ $? -ne 0 ]; then + echo "Error: MCP server pod is not ready" + exit 1 +fi + +# Wait for agent pod to be ready +echo " Checking agent pod..." +kubectl wait --for=condition=ready pod -l app.kubernetes.io/name=$AGENT_DEPLOYMENT -n team1 --timeout=60s +if [ $? -ne 0 ]; then + echo "Error: Agent pod is not ready" + exit 1 +fi + +echo "✓ All pods are ready" +echo "" + +# Additional wait to ensure services are fully started +echo "Waiting for services to be fully started..." +sleep 10 + +# Start port forwarding in background +echo "Starting port-forward for MCP server..." +kubectl port-forward -n team1 svc/$BENCHMARK_SERVICE 8000:8000 & +PF_MCP_PID=$! + +echo "Starting port-forward for A2A agent..." +kubectl port-forward -n team1 svc/$AGENT_SERVICE 8081:8080 & +PF_AGENT_PID=$! + +# Wait for port forwards to be ready +echo "Waiting for port forwards to be ready..." +sleep 5 + +# Check if port forwards are working +if ! ps -p $PF_MCP_PID > /dev/null; then + echo "Error: MCP port-forward failed to start" + exit 1 +fi + +if ! ps -p $PF_AGENT_PID > /dev/null; then + echo "Error: Agent port-forward failed to start" + kill $PF_MCP_PID 2>/dev/null || true + exit 1 +fi + +echo "" +echo "✓ Port forwarding established" +echo " MCP Server PID: $PF_MCP_PID" +echo " A2A Agent PID: $PF_AGENT_PID" +echo "" + +# Function to cleanup on exit +#cleanup() { +# echo "" +# echo "Cleaning up port forwards..." +# kill $PF_MCP_PID 2>/dev/null || true +# kill $PF_AGENT_PID 2>/dev/null || true +# echo "Done." +#} +# +#trap cleanup EXIT INT TERM + +# Test connectivity +echo "Testing connectivity..." +echo -n " MCP Server: " +if curl -s -o /dev/null -w "%{http_code}" http://localhost:8000/health 2>/dev/null | grep -q "200\|404"; then + echo "✓ Reachable" +else + echo "⚠ May not be reachable - this might be OK if no /health endpoint" +fi + +echo -n " A2A Agent: " +if curl -s -o /dev/null -w "%{http_code}" http://localhost:8081/.well-known/agent-card.json 2>/dev/null | grep -q "200\|404"; then + echo "✓ Reachable" +else + echo "⚠ May not be reachable - this might be OK" +fi + +echo "" +echo "==========================================" +echo "Starting Exgentic A2A Runner" +echo "==========================================" +echo "" + +# Change to the script directory +cd "$(dirname "$0")" + +# Check if virtual environment exists +if [ ! -d ".venv" ]; then + echo "Virtual environment not found. 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