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Version: 0.2.0

Runner

The Runner encapsulates framework-specific execution strategies, providing a consistent interface for running agents across different frameworks. You can skip this section if you are not planning to contribute to Agent Kernel.

Overview​

What is a Runner?​

A Runner:

  • Executes framework-specific agent logic
  • Manages session state during execution
  • Handles async/await execution patterns
  • Provides consistent error handling

Runner Interface​

from agentkernel.core import Runner, Session

class Runner(ABC):
    def __init__(self, name: str):
        self._name = name
    
    @abstractmethod
    async def run(self, agent: Any, session: Session, prompt: Any) -> Any:
        """Run the agent with the provided prompt"""
        pass

Framework Runners​

OpenAI Runner​

Executes OpenAI Agents SDK agents:

from agentkernel.openai import OpenAIRunner

class OpenAIRunner(Runner):
    async def run(self, agent, session, prompt):
        # Get or create OpenAI session
        # Execute agent with prompt
        # Return result

CrewAI Runner​

Executes CrewAI agents:

from agentkernel.crewai import CrewAIRunner

class CrewAIRunner(Runner):
    async def run(self, agent, session, prompt):
        # Execute CrewAI kickoff
        # Return result

LangGraph Runner​

Executes LangGraph compiled graphs:

from agentkernel.langgraph import LangGraphRunner

class LangGraphRunner(Runner):
    async def run(self, agent, session, prompt):
        # Invoke graph with state
        # Handle streaming if enabled
        # Return result

Execution Flow​

Using Runners​

Runners are typically accessed through agents:

from agentkernel.core import Runtime

runtime = Runtime.get()
agent = runtime.get_agent("assistant")

# Get the runner from the agent
runner = agent.runner

# Execute
result = await runner.run(agent, session, prompt)

Session Integration​

Runners work closely with Sessions to maintain state:

async def run(self, agent, session, prompt):
    # Get framework-specific session from AK session
    framework_session = session.get(f"{agent.name}_session")
    
    if not framework_session:
        # Create new framework session
        framework_session = self._create_session()
        session.set(f"{agent.name}_session", framework_session)
    
    # Execute with session
    result = await self._execute(agent, framework_session, prompt)
    
    # Session automatically persisted
    return result

Best Practices​

Async Execution​

Always use await when calling runners:

# Correct
result = await runner.run(agent, session, prompt)

# Incorrect
result = runner.run(agent, session, prompt)  # Returns coroutine

Error Handling​

Wrap runner execution in try-except:

try:
    result = await runner.run(agent, session, prompt)
except Exception as e:
    logger.error(f"Runner error: {e}")
    # Handle error appropriately

Summary​

  • Runners execute framework-specific agent logic
  • Each framework has its own Runner implementation
  • Runners manage session state during execution
  • Always use async/await pattern

Next Steps​