core/cli+agent: /compact and resume latest by workspace recency

Soft-compact history, model-summarize without tools, seed a new session;
/resume with no id loads the lately-used session for this workspace.
This commit is contained in:
2026-07-15 10:03:22 +08:00
parent 19128735a2
commit 001619d9dd
8 changed files with 452 additions and 10 deletions
+133
View File
@@ -0,0 +1,133 @@
from __future__ import annotations
from typing import TYPE_CHECKING, Literal, overload
import pytest
import tomlkit
from plyngent.agent import ChatAgent
from plyngent.cli.state import ReplState
from plyngent.config.models import DatabaseConfig, OpenAIProvider
from plyngent.config.store import ConfigStore
from plyngent.lmproto.openai_compatible.model import (
AssistantChatMessage,
ChatCompletionChoice,
ChatCompletionChunk,
ChatCompletionResponse,
ChatCompletionsParam,
UserChatMessage,
)
from plyngent.memory import MemoryStore
from plyngent.tools import set_workspace_root
if TYPE_CHECKING:
from collections.abc import AsyncIterator
from pathlib import Path
class SummaryClient:
@overload
async def chat_completions(
self, param: ChatCompletionsParam, *, stream: Literal[False] = False
) -> ChatCompletionResponse: ...
@overload
async def chat_completions(
self, param: ChatCompletionsParam, *, stream: Literal[True]
) -> AsyncIterator[ChatCompletionChunk]: ...
async def chat_completions(
self, param: ChatCompletionsParam, *, stream: bool = False
) -> ChatCompletionResponse | AsyncIterator[ChatCompletionChunk]:
del param, stream
return ChatCompletionResponse(
id="1",
object="chat.completion",
created=0,
model="m",
choices=[
ChatCompletionChoice(
index=0,
message=AssistantChatMessage(content="compacted goals: ship feature"),
logprobs={},
finish_reason="stop",
)
],
system_fingerprint="",
usage={},
)
async def test_compact_to_new_session(tmp_path: Path) -> None:
_ = set_workspace_root(tmp_path)
memory = await MemoryStore.open(DatabaseConfig())
try:
provider = OpenAIProvider(access_key_or_token="sk-test")
config = ConfigStore(path=tmp_path / "plyngent.toml", document=tomlkit.document())
config.providers = {"local": provider}
state = ReplState(
config=config,
memory=memory,
workspace=tmp_path,
provider_name="local",
provider=provider,
model="gpt-test",
tools_enabled=False,
)
state.client = SummaryClient()
await state.new_session("orig")
old_id = state.session_id
assert old_id is not None
state.agent = ChatAgent(
state.client,
model=state.model,
memory=state.memory,
session_id=old_id,
system_prompt="Be brief.",
)
state.agent.messages = [
UserChatMessage(content="do work"),
AssistantChatMessage(content="done lots of stuff"),
]
for msg in state.agent.messages:
_ = await memory.append_message(old_id, msg)
new_old, new_id, summary = await state.compact_to_new_session()
assert new_old == old_id
assert new_id != old_id
assert state.session_id == new_id
assert "compacted goals" in summary
loaded = await memory.list_messages(new_id)
assert any("compacted goals" in getattr(m, "content", "") for m in loaded)
# Old session still exists and is listable
sessions = await memory.list_sessions(workspace=tmp_path)
ids = {s.sid for s in sessions}
assert old_id in ids
assert new_id in ids
finally:
await memory.close()
async def test_compact_empty_fails(tmp_path: Path) -> None:
_ = set_workspace_root(tmp_path)
memory = await MemoryStore.open(DatabaseConfig())
try:
provider = OpenAIProvider(access_key_or_token="sk-test")
config = ConfigStore(path=tmp_path / "plyngent.toml", document=tomlkit.document())
config.providers = {"local": provider}
state = ReplState(
config=config,
memory=memory,
workspace=tmp_path,
provider_name="local",
provider=provider,
model="gpt-test",
tools_enabled=False,
)
state.client = SummaryClient()
await state.new_session("empty")
state.agent.messages = []
with pytest.raises(ValueError, match="nothing to compact"):
_ = await state.compact_to_new_session()
finally:
await memory.close()