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
75 lines
2.6 KiB
Python
75 lines
2.6 KiB
Python
from __future__ import annotations
|
|
|
|
import json
|
|
import copy
|
|
import sys
|
|
from pathlib import Path
|
|
from types import SimpleNamespace
|
|
|
|
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
|
|
|
|
from agent import GeneratedAgent
|
|
|
|
|
|
class FakeCompletions:
|
|
def __init__(self):
|
|
self.calls = []
|
|
|
|
def create(self, **kwargs):
|
|
self.calls.append(copy.deepcopy(kwargs))
|
|
if len(self.calls) == 1:
|
|
tool_call = SimpleNamespace(
|
|
id="call-1",
|
|
function=SimpleNamespace(
|
|
name="lookup_domain_fact",
|
|
arguments=json.dumps({"query": "purpose"}),
|
|
),
|
|
)
|
|
message = SimpleNamespace(content=None, tool_calls=[tool_call])
|
|
else:
|
|
assert kwargs["messages"][-1]["role"] == "tool"
|
|
message = SimpleNamespace(content="Verified answer", tool_calls=[])
|
|
usage = SimpleNamespace(prompt_tokens=10, completion_tokens=3)
|
|
return SimpleNamespace(choices=[SimpleNamespace(message=message)], usage=usage)
|
|
|
|
|
|
def test_standard_tool_loop_keeps_assistant_call_and_tool_result():
|
|
completions = FakeCompletions()
|
|
client = SimpleNamespace(chat=SimpleNamespace(completions=completions))
|
|
result = GeneratedAgent(model="test-model", client=client).run("What is your purpose?")
|
|
assert result["ok"] is True
|
|
assert result["answer"] == "Verified answer"
|
|
second_messages = completions.calls[1]["messages"]
|
|
assert second_messages[-2]["role"] == "assistant"
|
|
assert second_messages[-2]["tool_calls"][0]["id"] == "call-1"
|
|
assert second_messages[-1]["role"] == "tool"
|
|
assert second_messages[-1]["tool_call_id"] == "call-1"
|
|
assert result["messages"][:-1] == second_messages
|
|
assert result["messages"][-1] == {
|
|
"role": "assistant",
|
|
"content": "Verified answer",
|
|
}
|
|
assert result["usage"] == {
|
|
"prompt_tokens": 20,
|
|
"cached_prompt_tokens": 0,
|
|
"completion_tokens": 6,
|
|
"requests": 2,
|
|
}
|
|
|
|
|
|
def test_prior_multiturn_history_is_preserved_in_order():
|
|
completions = FakeCompletions()
|
|
client = SimpleNamespace(chat=SimpleNamespace(completions=completions))
|
|
history = [
|
|
{"role": "user", "content": "Remember owner Mei-Lin."},
|
|
{"role": "assistant", "content": "Owner Mei-Lin retained."},
|
|
]
|
|
|
|
result = GeneratedAgent(model="test-model", client=client).run(
|
|
"Evaluate the release.", history=history
|
|
)
|
|
|
|
first_messages = completions.calls[0]["messages"]
|
|
assert first_messages[1:3] == history
|
|
assert result["messages"][1:3] == history
|