nanobot/tests/agent/test_loop_save_turn.py

203 lines
6.8 KiB
Python

from nanobot.agent.context import ContextBuilder
from nanobot.agent.loop import AgentLoop
from nanobot.session.manager import Session
def _mk_loop() -> AgentLoop:
loop = AgentLoop.__new__(AgentLoop)
from nanobot.config.schema import AgentDefaults
loop.max_tool_result_chars = AgentDefaults().max_tool_result_chars
return loop
def test_save_turn_skips_multimodal_user_when_only_runtime_context() -> None:
loop = _mk_loop()
session = Session(key="test:runtime-only")
runtime = ContextBuilder._RUNTIME_CONTEXT_TAG + "\nCurrent Time: now (UTC)"
loop._save_turn(
session,
[{"role": "user", "content": [{"type": "text", "text": runtime}]}],
skip=0,
)
assert session.messages == []
def test_save_turn_keeps_image_placeholder_with_path_after_runtime_strip() -> None:
loop = _mk_loop()
session = Session(key="test:image")
runtime = ContextBuilder._RUNTIME_CONTEXT_TAG + "\nCurrent Time: now (UTC)"
loop._save_turn(
session,
[{
"role": "user",
"content": [
{"type": "text", "text": runtime},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,abc"}, "_meta": {"path": "/media/feishu/photo.jpg"}},
],
}],
skip=0,
)
assert session.messages[0]["content"] == [{"type": "text", "text": "[image: /media/feishu/photo.jpg]"}]
def test_save_turn_keeps_image_placeholder_without_meta() -> None:
loop = _mk_loop()
session = Session(key="test:image-no-meta")
runtime = ContextBuilder._RUNTIME_CONTEXT_TAG + "\nCurrent Time: now (UTC)"
loop._save_turn(
session,
[{
"role": "user",
"content": [
{"type": "text", "text": runtime},
{"type": "image_url", "image_url": {"url": "data:image/png;base64,abc"}},
],
}],
skip=0,
)
assert session.messages[0]["content"] == [{"type": "text", "text": "[image]"}]
def test_save_turn_keeps_tool_results_under_16k() -> None:
loop = _mk_loop()
session = Session(key="test:tool-result")
content = "x" * 12_000
loop._save_turn(
session,
[{"role": "tool", "tool_call_id": "call_1", "name": "read_file", "content": content}],
skip=0,
)
assert session.messages[0]["content"] == content
def test_restore_runtime_checkpoint_rehydrates_completed_and_pending_tools() -> None:
loop = _mk_loop()
session = Session(
key="test:checkpoint",
metadata={
AgentLoop._RUNTIME_CHECKPOINT_KEY: {
"assistant_message": {
"role": "assistant",
"content": "working",
"tool_calls": [
{
"id": "call_done",
"type": "function",
"function": {"name": "read_file", "arguments": "{}"},
},
{
"id": "call_pending",
"type": "function",
"function": {"name": "exec", "arguments": "{}"},
},
],
},
"completed_tool_results": [
{
"role": "tool",
"tool_call_id": "call_done",
"name": "read_file",
"content": "ok",
}
],
"pending_tool_calls": [
{
"id": "call_pending",
"type": "function",
"function": {"name": "exec", "arguments": "{}"},
}
],
}
},
)
restored = loop._restore_runtime_checkpoint(session)
assert restored is True
assert session.metadata.get(AgentLoop._RUNTIME_CHECKPOINT_KEY) is None
assert session.messages[0]["role"] == "assistant"
assert session.messages[1]["tool_call_id"] == "call_done"
assert session.messages[2]["tool_call_id"] == "call_pending"
assert "interrupted before this tool finished" in session.messages[2]["content"].lower()
def test_restore_runtime_checkpoint_dedupes_overlapping_tail() -> None:
loop = _mk_loop()
session = Session(
key="test:checkpoint-overlap",
messages=[
{
"role": "assistant",
"content": "working",
"tool_calls": [
{
"id": "call_done",
"type": "function",
"function": {"name": "read_file", "arguments": "{}"},
},
{
"id": "call_pending",
"type": "function",
"function": {"name": "exec", "arguments": "{}"},
},
],
},
{
"role": "tool",
"tool_call_id": "call_done",
"name": "read_file",
"content": "ok",
},
],
metadata={
AgentLoop._RUNTIME_CHECKPOINT_KEY: {
"assistant_message": {
"role": "assistant",
"content": "working",
"tool_calls": [
{
"id": "call_done",
"type": "function",
"function": {"name": "read_file", "arguments": "{}"},
},
{
"id": "call_pending",
"type": "function",
"function": {"name": "exec", "arguments": "{}"},
},
],
},
"completed_tool_results": [
{
"role": "tool",
"tool_call_id": "call_done",
"name": "read_file",
"content": "ok",
}
],
"pending_tool_calls": [
{
"id": "call_pending",
"type": "function",
"function": {"name": "exec", "arguments": "{}"},
}
],
}
},
)
restored = loop._restore_runtime_checkpoint(session)
assert restored is True
assert session.metadata.get(AgentLoop._RUNTIME_CHECKPOINT_KEY) is None
assert len(session.messages) == 3
assert session.messages[0]["role"] == "assistant"
assert session.messages[1]["tool_call_id"] == "call_done"
assert session.messages[2]["tool_call_id"] == "call_pending"