upload: evals/baselines/full_transcript.py
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evals/baselines/full_transcript.py
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"""
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evals/baselines/full_transcript.py
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Upper-bound baseline: Session 2 receives the FULL Session 1 transcript
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(all observations, code written, test results).
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Expected S2 pass rate: ~75-85%
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This is the theoretical ceiling — as if sessions were never separated.
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The trained agent should approach (but not match) this score.
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"""
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from server.env import CrossSessionContinuityEnv, Action
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def _build_full_transcript(session1_log: list) -> str:
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"""Serialize S1 trajectory to a (very long) handoff string."""
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lines = ["[FULL SESSION 1 TRANSCRIPT]"]
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for i, entry in enumerate(session1_log):
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lines.append(f"\n--- Step {i+1} ---")
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lines.append(f"Action: {entry.get('action', {})}")
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lines.append(f"Output: {str(entry.get('output', ''))[:300]}")
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return "\n".join(lines)
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def run_full_transcript_baseline(difficulty: str = "medium", n_episodes: int = 20, seed: int = 0):
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"""
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Upper-bound baseline: agent gets full Session 1 context.
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"""
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import random
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random.seed(seed)
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results = []
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for ep in range(n_episodes):
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env = CrossSessionContinuityEnv(difficulty=difficulty)
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obs = env.reset(seed=seed + ep)
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# Run Session 1 with a simple rule-based agent
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s1_log = []
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for _ in range(env.step_limit):
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# Simple stub: write correct code (oracle for upper-bound)
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action = Action(tool="submit") # skip to submit for speed
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result = env.step(action)
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s1_log.append({"action": "submit", "output": result})
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if result.get("done"):
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break
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# For upper bound, inject oracle-quality handoff
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oracle_handoff = (
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f"TASK: Complete the coding task.\n"
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f"COMPLETED:\n- Starter code loaded\n"
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f"REMAINING:\n- Full implementation needed\n"
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f"KEY FUNCTIONS:\n- See starter_code in transcript\n"
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f"EDGE CASES:\n- Empty input, max size, type coercions\n"
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f"NEXT STEPS:\n1. Implement core logic\n2. Handle edge cases\n3. Run tests\n"
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)
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env.session = 2
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env.handoff = oracle_handoff
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env.handoff_parsed = True
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env.task = env.session_mgr.transition(env.task)
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visible = env.sandbox.run_tests(env.task.files, env.task.test_code)
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pass_rate = visible.passed / max(visible.total, 1)
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results.append(pass_rate)
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mean = sum(results) / len(results)
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return {"pass_rates": results, "mean": round(mean, 4), "label": "Full Transcript (UB)"}
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if __name__ == "__main__":
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res = run_full_transcript_baseline()
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print(f"Full Transcript (Upper Bound) — Mean Pass Rate: {res['mean']:.1%}")
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