Trajectory record (messages, raw tool results, metadata; reasoning apart) and trajectory runner
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
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@@ -230,7 +230,8 @@ class Runner:
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rep["rescored"] = True
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else:
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proxy = ToolProxy(mcp, prefix, task.meta.get("budget", {}),
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os.path.join(run_dir, "trajectory.jsonl"), task.meta.get("tool_schema"))
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os.path.join(run_dir, "trajectory.jsonl"), task.meta.get("tool_schema"),
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task.meta.get("release_target"))
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proxy.note("spec", task.spec)
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t1 = time.time()
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rep["final_report"] = agent.run(task, proxy)
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@@ -239,6 +240,7 @@ class Runner:
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rep["max_fail_streak"] = proxy.max_fail_streak
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rep["activation_failures"] = proxy.activation_failures
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rep["activation_error_messages"] = proxy.activation_errors
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rep["syntax_hints"] = proxy.syntax_hints
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rep["end_reason"] = getattr(agent, "end_reason", None)
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if proxy.fallbacks:
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rep["adt_fallbacks"] = proxy.fallbacks
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@@ -409,6 +411,9 @@ class Runner:
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all_objs = self._objects_with_prefix(mcp, prefix)
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rep["teardown"] = self._teardown(all_objs, run_dir) if teardown else "skipped"
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json.dump(rep, open(os.path.join(run_dir, "report.json"), "w"), indent=1)
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if not rescore_dir:
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from .record import write_record
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write_record(run_dir, task, agent, rep, os.path.basename(os.path.normpath(self.tasks_root)))
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return rep, run_dir
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def _score(self, task, rep):
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