Agent

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Constructor

new Agent(options: AgentOptions)

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Options

• llm, storage, embedder
• planPrompt, reasonPrompt, actPrompt
• k (default: 3), maxSteps (default: 30)
• seedTrajectories, onStep
• curationThreshold (default: 0.3), curationMinRetrievals (default: 5)
• verifyTrajectory

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Core Methods

await agent.init();
await agent.train(env, goal);
await agent.run(env, goal);
await agent.trainBatch(envFactory, goals);
await agent.runBatch(envFactory, goals);
agent.getDatabase();
agent.getStats();

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Notes

• init() must be called before train() or run().
• train stores successful trajectories (subject to verifyTrajectory).
• run never writes new trajectories.
• getDatabase() exposes the underlying TrajectoryDatabase.

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Stats Shape

• totalTrajectories
• successfulTrajectories
• successRate