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126 lines
4.3 KiB
Python
126 lines
4.3 KiB
Python
from agent import AgentTrajectory, ContextMode
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from run_experiment_1_1 import (
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canonical_answer_correct,
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evaluate_context_contract,
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summarize_arm,
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)
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def turn(messages, *, tools=True, reasoning="reason"):
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request = {"messages": messages}
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if tools:
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request.update({"tools": [{"type": "function"}], "tool_choice": "auto"})
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return {
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"request": request,
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"response": {
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"id": "real-response-id",
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"choices": [{"message": {"reasoning_content": reasoning}}],
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},
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}
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SYSTEM = {"role": "system", "content": "system"}
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USER = {"role": "user", "content": "task"}
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ASSISTANT = {
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"role": "assistant",
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"reasoning_content": "reason",
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"tool_calls": [{"id": "call"}],
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}
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TOOL = {"role": "tool", "content": '{"result": 4}'}
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def test_full_contract_uses_raw_followup_context():
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result = evaluate_context_contract(
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"full", [turn([SYSTEM, USER]), turn([SYSTEM, USER, ASSISTANT, TOOL])]
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)
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assert result["passed"] is True
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def test_no_history_contract_rejects_sliding_window():
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exact = evaluate_context_contract(
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"no_history", [turn([SYSTEM, USER]), turn([SYSTEM, USER])]
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)
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sliding = evaluate_context_contract(
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"no_history", [turn([SYSTEM, USER]), turn([SYSTEM, USER, ASSISTANT, TOOL])]
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)
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assert exact["passed"] is True
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assert sliding["passed"] is False
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def test_no_reasoning_requires_provider_reasoning_but_stripped_history():
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stripped_assistant = {k: v for k, v in ASSISTANT.items() if k != "reasoning_content"}
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result = evaluate_context_contract(
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"no_reasoning",
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[turn([SYSTEM, USER]), turn([SYSTEM, USER, stripped_assistant, TOOL])],
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)
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assert result["passed"] is True
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def test_no_tool_results_requires_literal_hidden_observations():
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hidden = {"role": "tool", "content": "[Tool result hidden due to context mode]"}
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result = evaluate_context_contract(
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"no_tool_results",
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[turn([SYSTEM, USER]), turn([SYSTEM, USER, ASSISTANT, hidden])],
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)
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assert result["passed"] is True
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leaked = evaluate_context_contract(
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"no_tool_results", [turn([SYSTEM, USER]), turn([SYSTEM, USER, ASSISTANT, TOOL])]
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)
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assert leaked["passed"] is False
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def test_no_tool_definitions_requires_absent_request_fields():
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result = evaluate_context_contract("no_tool_calls", [turn([SYSTEM, USER], tools=False)])
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assert result["passed"] is True
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def _arm_result(final_answer, *, mode=ContextMode.NO_TOOL_CALLS, iterations=1):
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completed = final_answer is not None
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return {
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"trajectory": AgentTrajectory(context_mode=mode),
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"final_answer": final_answer,
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"completed": completed,
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"success": completed,
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"iterations": iterations,
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"provider": "test",
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"model": "test-model",
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}
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def test_canonical_answer_rubric_rejects_refusal_and_hallucinated_markup():
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refusal = "I cannot compute the exchange rates without tools."
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hallucinated = "<request_tool>currency_converter(...)</request_tool>"
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assert canonical_answer_correct(refusal) is False
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assert canonical_answer_correct(hallucinated) is False
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def test_summarize_arm_separates_completion_from_task_success():
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result = summarize_arm(
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ContextMode.NO_TOOL_CALLS,
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_arm_result("I cannot compute the exchange rates without tools."),
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elapsed=0.1,
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)
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# The model did return a terminal response, but it did not complete the
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# canonical financial task. A mode-independent evaluator must preserve
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# that distinction instead of forcing the mode to fail.
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assert result["completed"] is True
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assert result["success"] is True # compatibility alias
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assert result["task_success"] is False
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assert result["behavior"]["canonical_answer_correct"] is False
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def test_summarize_arm_accepts_correct_answer_even_in_an_ablated_arm():
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answer = "Annual total: $9,602,895.73; quarterly average: $2,400,723.93"
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result = summarize_arm(
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ContextMode.NO_TOOL_RESULTS,
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_arm_result(answer, mode=ContextMode.NO_TOOL_RESULTS),
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elapsed=0.1,
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)
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# Correctness is an observed task result. The experiment may separately
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# report that tool feedback was hidden; it must not manufacture failure.
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assert result["completed"] is True
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assert result["task_success"] is True
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assert result["behavior"]["canonical_answer_correct"] is True
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