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ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
2026-08-20 13:12:50 +00:00

99 lines
3.3 KiB
Python

import json
from types import SimpleNamespace
from experiment import ExperimentRunner
from game_environment import TreasureHuntGame
from llm_agent import LLMAgent
from run_experiment_8_2 import _write_json
class _Usage:
total_tokens = 17
def model_dump(self):
return {"prompt_tokens": 10, "completion_tokens": 7, "total_tokens": 17}
def _response(content="Reasoning\n **ACTION**: take rusty sword "):
message = SimpleNamespace(content=content, reasoning_content="private reasoning")
choice = SimpleNamespace(message=message, finish_reason="stop")
return SimpleNamespace(
id="chatcmpl-real-shape",
created=123,
model="kimi-k3",
choices=[choice],
usage=_Usage(),
)
def test_explicit_action_variants_are_recorded_without_fallback(monkeypatch):
monkeypatch.setenv("MOONSHOT_API_KEY", "test-only")
agent = LLMAgent(model="kimi-k3")
agent.client = SimpleNamespace(
chat=SimpleNamespace(
completions=SimpleNamespace(create=lambda **_: _response())
)
)
action = agent.choose_action(TreasureHuntGame(), verbose=False)
assert action == "take rusty sword"
assert agent.api_records[0]["fallback_used"] is False
assert agent.api_records[0]["response"]["id"] == "chatcmpl-real-shape"
assert agent.api_records[0]["response"]["reasoning_content"] == "private reasoning"
assert agent.total_tokens == 17
def test_api_failure_is_retained_and_cannot_look_like_model_behavior(monkeypatch):
monkeypatch.setenv("MOONSHOT_API_KEY", "test-only")
agent = LLMAgent(model="kimi-k3")
def fail(**_):
raise RuntimeError("provider unavailable")
agent.client = SimpleNamespace(
chat=SimpleNamespace(completions=SimpleNamespace(create=fail))
)
action = agent.choose_action(TreasureHuntGame(), verbose=False)
assert action in TreasureHuntGame().get_available_actions()
assert agent.api_calls == 0
assert agent.api_records[0]["fallback_used"] is True
assert agent.api_records[0]["fallback_reason"] == "api_error"
assert agent.api_records[0]["error"]["type"] == "RuntimeError"
def test_saved_evidence_excludes_credentials(monkeypatch, tmp_path):
monkeypatch.setenv("MOONSHOT_API_KEY", "secret-that-must-not-be-written")
agent = LLMAgent(model="kimi-k3")
agent.client = SimpleNamespace(
chat=SimpleNamespace(
completions=SimpleNamespace(create=lambda **_: _response())
)
)
agent.choose_action(TreasureHuntGame(), verbose=False)
output = tmp_path / "llm_experiences.json"
agent.save_experiences(output)
payload = output.read_text(encoding="utf-8")
assert "secret-that-must-not-be-written" not in payload
assert json.loads(payload)["backend"]["provider"] == "moonshot"
def test_nested_validation_output_is_created(tmp_path):
root = tmp_path / "validation" / "experiment_8_2"
runner = ExperimentRunner(results_dir=str(root))
assert runner.experiment_dir.parent == root
assert runner.experiment_dir.is_dir()
def test_evidence_writer_serializes_numpy_scalars(tmp_path):
import numpy as np
output = tmp_path / "evidence.json"
_write_json(output, {"gate": np.bool_(True), "count": np.int64(17)})
assert json.loads(output.read_text(encoding="utf-8")) == {
"gate": True,
"count": 17,
}