Single-agent runtime SDK for A2A agents backed by MCP tools.
Project description
agent-runtime-sdk
Single-agent runtime SDK for exposing MCP tools as an A2A-compatible agent service.
Install
pip install agent-runtime-sdk
Install optional Langfuse/smolagents observability support:
pip install "agent-runtime-sdk[observability]"
Basic Usage
Create an agent project:
my-agent/
├── agent_app/
│ ├── agent.yaml
│ └── plugin.py
└── main.py
Example main.py:
from pathlib import Path
from agent_runtime.standalone import build_single_agent_app, run_single_agent_app
app = build_single_agent_app(
Path(__file__).resolve().parent / "agent_app" / "agent.yaml"
)
if __name__ == "__main__":
run_single_agent_app(app)
Example SDK import:
from agent_runtime import AgentBuilder
Minimal Configuration
Example agent_app/agent.yaml:
agent:
agent_id: example-agent
name: Example Agent
description: Example A2A agent backed by MCP tools.
runtime:
public_base_url: ${AGENT_PUBLIC_BASE_URL:-http://127.0.0.1:10020}
model:
provider: openai_compatible
api_base: ${MODEL_SOURCE_API_BASE}
model_id: ${MODEL_SOURCE_MODEL_ID}
api_key_env: MODEL_SOURCE_API_KEY
mcps:
- name: example
url: ${MCP_EXAMPLE_URL}
transport: streamable-http
Run:
export MODEL_SOURCE_API_BASE="https://your-model-api.example.com"
export MODEL_SOURCE_MODEL_ID="your-model-id"
export MODEL_SOURCE_API_KEY="your-api-key"
export MCP_EXAMPLE_URL="http://127.0.0.1:8000/mcp"
export AGENT_PUBLIC_BASE_URL="http://127.0.0.1:10020"
python main.py
Langfuse
After installing agent-runtime-sdk[observability], configure:
export MCP_AGENT_LANGFUSE_ENABLED=true
export LANGFUSE_BASE_URL="http://your-langfuse-host:3000"
export LANGFUSE_PUBLIC_KEY="pk-lf-..."
export LANGFUSE_SECRET_KEY="sk-lf-..."
Set MCP_AGENT_LANGFUSE_ENABLED=false to disable instrumentation.
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