Documentation Index
Fetch the complete documentation index at: https://icrl.dev/docs/llms.txt
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Constructor
Agent(
llm: LLMProvider,
db_path: str,
plan_prompt: str,
reason_prompt: str,
act_prompt: str,
k: int = 3,
max_steps: int = 30,
seed_trajectories: list[Trajectory] | None = None,
on_step: Callable[[Step, StepContext], None] | None = None,
curation_threshold: float = 0.3,
curation_min_retrievals: int = 5,
verify_trajectory: Callable[[Trajectory], bool] | None = None,
)
Core Methods
await agent.train(env, goal)
await agent.run(env, goal)
agent.train_sync(env, goal)
agent.run_sync(env, goal)
await agent.train_batch(env_factory, goals)
await agent.run_batch(env_factory, goals)
agent.get_stats()
Notes
train stores successful trajectories (subject to verify_trajectory).run never writes new trajectories.database property exposes the underlying TrajectoryDatabase.
Stats Shape
get_stats() returns:
total_trajectoriessuccessful_trajectoriessuccess_rate
