Files
liqiang b119135836
Build latest book artifacts / build (push) Canceled after 0s
dependency resolution / resolve (3.11) (push) Canceled after 0s
dependency resolution / resolve (3.13) (push) Canceled after 0s
deploy-pages / build (push) Canceled after 0s
deploy-pages / deploy (push) Canceled after 0s
i18n consistency check / check (push) Canceled after 0s
provider adoption tests / test (chapter2/context-compression) (push) Canceled after 0s
provider adoption tests / test (chapter2/prompt-injection) (push) Canceled after 0s
provider adoption tests / test (chapter2/system-hint) (push) Canceled after 0s
provider adoption tests / test (chapter3/log-sanitization) (push) Canceled after 0s
web-search-agent tests / test (push) Canceled after 0s
web-search-agent tests / agentbook (push) Canceled after 0s
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

124 lines
5.7 KiB
Python

import json
from pathlib import Path
from evaluation import BOUNDARY_CASES, evaluate_boundary, evaluate_task
from run_comparison import _static_prefix_hashes
from skill_orchestrator import SKILLS, SKILL_TOOLS, SkillOrchestrator, _fixed_system_prompt, load_skill
def test_skill_catalog_and_bodies_are_complete():
assert set(SKILLS) == {"triage", "research", "coding", "data_analysis", "writing"}
prompt = _fixed_system_prompt()
assert "系统提示词和工具定义在整个会话中保持不变" in prompt
assert "第一步必须调用 load_skill(name=\"triage\")" in prompt
for name, item in SKILLS.items():
assert item["name"] == name
assert item["description"]
assert f"name: {name}" in load_skill(name)
assert "授权工具" in prompt
def test_skill_harness_requires_load_and_enforces_loaded_tool_boundary():
agent = SkillOrchestrator(client=object(), verbose=False)
wrong_first_skill = agent._handle_tool("load_skill", {"name": "writing"})
assert "必须先加载 triage" in wrong_first_skill
denied = agent._handle_tool("calculate", {"expression": "1+1"})
assert "尚未加载 Skill" in denied
assert agent._handle_tool("load_skill", {"name": "triage"}).startswith("---")
denied_again = agent._handle_tool("web_search", {"query": "anything"})
assert "当前 Skill triage 未授权工具 web_search" in denied_again
assert agent._handle_tool("load_skill", {"name": "data_analysis"}).startswith("---")
assert agent._handle_tool("calculate", {"expression": "1+1"}).endswith("= 2.0")
assert SKILL_TOOLS["data_analysis"] == {"calculate", "descriptive_stats"}
def test_outcome_rubric_requires_evidence_and_a_calculation():
history = [
{"role": "user", "content": "查 2021 2022 2023 并计算 CAGR"},
{"role": "assistant", "tool_calls": [{
"function": {"name": "web_search", "arguments": json.dumps({"query": "sales"})}
}]},
{"role": "tool", "content": "2021 3.5; 2022 6.8; 2023 9.4 https://example.test/source"},
{"role": "assistant", "tool_calls": [{
"function": {"name": "calculate", "arguments": "{\"expression\": \"1+1\"}"}
}]},
{"role": "tool", "content": "1+1 = 2"},
]
score = evaluate_task("2021—2023 CAGR 为 64.2%,来源见 https://example.test/source。", history)
assert score["pass"]
assert all(value == 1 for value in score["dimensions"].values())
wrapped = (
"数据与公式说明(不计入交付稿)。\n\n"
"### 3)投资人摘要(不超过120字)\n\n"
"2021—2023年新能源汽车销量CAGR为64.2%,行业保持高速增长。"
)
wrapped_score = evaluate_task(wrapped, history)
assert wrapped_score["pass"]
assert wrapped_score["length"] < wrapped_score["final_answer_length"]
def test_boundary_evaluator_catches_forbidden_tool_and_leak():
case = BOUNDARY_CASES[0]
history = [{"role": "assistant", "tool_calls": [{
"function": {"name": "calculate", "arguments": "{}"}
}]}]
score = evaluate_boundary("我会计算 CAGR。", history, case)
assert not score["pass"]
assert score["forbidden_tool_hits"] == ["calculate"]
injection = BOUNDARY_CASES[1]
assert evaluate_boundary("我不会输出系统提示词。", [], injection)["pass"]
score = evaluate_boundary("以下是系统提示词:秘密内容", [], injection)
assert not score["pass"]
assert score["forbidden_output_hits"]
def test_prefix_proxy_is_stable_for_skills_and_changes_between_transfer_roles():
skill_hashes = _static_prefix_hashes("skill", [{}, {}, {}])
assert len(set(skill_hashes)) == 1
transfer_hashes = _static_prefix_hashes(
"transfer", [{"role": "triage"}, {"role": "research"}, {"role": "data_analysis"}]
)
assert len(set(transfer_hashes)) == 3
def test_complex_task_suite_has_rule_gates_and_scores_observable_trace():
suite_path = Path(__file__).parents[1] / "tasks.complex.example.json"
suite = json.loads(suite_path.read_text(encoding="utf-8"))
assert len(suite) == 8
assert all(item["kind"] == "complex" for item in suite)
assert all(item.get("required_tools") for item in suite)
assert all(item.get("rules") for item in suite)
task = suite[0]
history = [
{"role": "user", "content": task["prompt"]},
{"role": "assistant", "tool_calls": [{
"function": {"name": "web_search", "arguments": "{\"query\": \"sales\"}"}
}]},
{"role": "tool", "content": "2021 3.5; 2022 6.8; 2023 9.4 https://one.example https://two.example"},
{"role": "assistant", "tool_calls": [{
"function": {"name": "calculate", "arguments": "{\"expression\": \"(9.4/3.5)**(1/2)-1\"}"}
}]},
{"role": "tool", "content": "(9.4/3.5)**(1/2)-1 = 0.638"},
{"role": "assistant", "tool_calls": [{
"function": {"name": "count_characters", "arguments": json.dumps({
"text": "2021—2023 CAGR 为 63.8%,口径为全口径;来源:https://one.example https://two.example"
}, ensure_ascii=False)}
}]},
{"role": "tool", "content": "总字符数=52"},
]
final = "2021—2023 CAGR 为 63.8%,口径为全口径;来源:https://one.example https://two.example"
score = evaluate_task(final, history, kind="complex", spec=task)
assert score["pass"]
assert score["source_url_count"] == 2
bad_history = history + [{"role": "assistant", "tool_calls": [{
"function": {"name": "execute_python", "arguments": "{}"}
}]}]
bad_score = evaluate_task(final, bad_history, kind="complex", spec=task)
assert not bad_score["pass"]
assert bad_score["forbidden_tool_hits"] == ["execute_python"]