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v2.17.0 (#822)

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Co-authored-by: Clément Sirieix <clement.sirieix@mistral.ai>
Co-authored-by: Guillaume LE GOFF <guillaume.lgf@gmail.com>
Co-authored-by: Hdandria <henri.dandria@mistral.ai>
Co-authored-by: Ivana Dunisijevic <ivana.dunisijevic@mistral.ai>
Co-authored-by: Jean Burellier <sheplu@users.noreply.github.com>
Co-authored-by: Mathias Gesbert <mathias.gesbert@mistral.ai>
Co-authored-by: Mert Unsal <mert.unsal@mistral.ai>
Co-authored-by: Michel Thomazo <51709227+michelTho@users.noreply.github.com>
Co-authored-by: Paul VEZIA <166131032+le-codeur-rapide@users.noreply.github.com>
Co-authored-by: Pierre Rossinès <pierre.rossines@mistral.ai>
Co-authored-by: Val <102326092+vdeva@users.noreply.github.com>
Co-authored-by: Vincent G <10739306+VinceOPS@users.noreply.github.com>
Co-authored-by: renovate-mistral[bot] <253709520+renovate-mistral[bot]@users.noreply.github.com>
Co-authored-by: Mistral Vibe <vibe@mistral.ai>
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tests/test_agent_auto_compact.py
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from __future__ import annotations
import asyncio
from pathlib import Path
from typing import cast
from unittest.mock import AsyncMock, patch
import pytest
from tests.conftest import (
build_test_agent_loop,
build_test_vibe_config,
make_test_models,
)
from tests.mock.utils import mock_llm_chunk
from tests.stubs.fake_backend import FakeBackend
from vibe.core.agent_loop import CompactionFailedError
from vibe.core.config import ModelConfig
from vibe.core.types import (
AssistantEvent,
CompactEndEvent,
CompactStartEvent,
FunctionCall,
LLMMessage,
Role,
ToolCall,
UserMessageEvent,
)
def _get_auto_compact_properties(
telemetry_events: list[dict[str, object]],
) -> dict[str, object]:
auto_compact = [
event
for event in telemetry_events
if event.get("event_name") == "vibe.auto_compact_triggered"
]
assert len(auto_compact) == 1
return cast(dict[str, object], auto_compact[0]["properties"])
@pytest.mark.asyncio
async def test_auto_compact_emits_correct_events(telemetry_events: list[dict]) -> None:
backend = FakeBackend([
[mock_llm_chunk(content="<summary>")],
[mock_llm_chunk(content="<final>")],
])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=1))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.stats.context_tokens = 2
old_session_id = agent.session_id
events = [ev async for ev in agent.act("Hello")]
assert len(events) == 4
assert isinstance(events[0], UserMessageEvent)
assert isinstance(events[1], CompactStartEvent)
assert isinstance(events[2], CompactEndEvent)
assert isinstance(events[3], AssistantEvent)
start: CompactStartEvent = events[1]
end: CompactEndEvent = events[2]
final: AssistantEvent = events[3]
assert start.current_context_tokens == 2
assert start.threshold == 1
assert isinstance(end, CompactEndEvent)
assert final.content == "<final>"
properties = _get_auto_compact_properties(telemetry_events)
assert properties["nb_context_tokens_before"] == 2
assert properties["auto_compact_threshold"] == 1
assert properties["status"] == "success"
assert properties["session_id"] == old_session_id
assert properties["parent_session_id"] is None
@pytest.mark.asyncio
@pytest.mark.parametrize(
("side_effect", "expected_exception", "match", "expected_status"),
[
pytest.param(
RuntimeError("boom"), RuntimeError, "boom", "failure", id="failure"
),
pytest.param(
asyncio.CancelledError(),
asyncio.CancelledError,
None,
"cancelled",
id="cancelled",
),
],
)
async def test_auto_compact_emits_terminal_telemetry(
side_effect: BaseException,
expected_exception: type[BaseException],
match: str | None,
expected_status: str,
telemetry_events: list[dict],
) -> None:
backend = FakeBackend([[mock_llm_chunk(content="<final>")]])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=1))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.stats.context_tokens = 2
old_session_id = agent.session_id
events = []
with patch.object(agent, "compact", AsyncMock(side_effect=side_effect)):
if match is None:
with pytest.raises(expected_exception):
async for event in agent.act("Hello"):
events.append(event)
else:
with pytest.raises(expected_exception, match=match):
async for event in agent.act("Hello"):
events.append(event)
assert len(events) == 2
assert isinstance(events[0], UserMessageEvent)
assert isinstance(events[1], CompactStartEvent)
properties = _get_auto_compact_properties(telemetry_events)
assert properties["nb_context_tokens_before"] == 2
assert properties["auto_compact_threshold"] == 1
assert properties["status"] == expected_status
assert properties["session_id"] == old_session_id
assert properties["parent_session_id"] is None
@pytest.mark.asyncio
async def test_auto_compact_observer_sees_user_msg_not_summary() -> None:
"""Observer sees the original user message and final response.
Compact internals (summary request, LLM summary) are invisible
to the observer because they happen inside silent() / reset().
"""
observed: list[tuple[Role, str | None]] = []
def observer(msg: LLMMessage) -> None:
observed.append((msg.role, msg.content))
backend = FakeBackend([
[mock_llm_chunk(content="<summary>")],
[mock_llm_chunk(content="<final>")],
])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=1))
agent = build_test_agent_loop(
config=cfg, message_observer=observer, backend=backend
)
agent.stats.context_tokens = 2
[_ async for _ in agent.act("Hello")]
roles = [r for r, _ in observed]
assert roles == [Role.system, Role.user, Role.assistant]
assert observed[1][1] == "Hello"
assert observed[2][1] == "<final>"
@pytest.mark.asyncio
async def test_auto_compact_observer_does_not_see_summary_request() -> None:
"""The compact summary request and LLM response must not leak to observer."""
observed: list[tuple[Role, str | None]] = []
def observer(msg: LLMMessage) -> None:
observed.append((msg.role, msg.content))
backend = FakeBackend([
[mock_llm_chunk(content="<summary>")],
[mock_llm_chunk(content="<final>")],
])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=1))
agent = build_test_agent_loop(
config=cfg, message_observer=observer, backend=backend
)
agent.stats.context_tokens = 2
[_ async for _ in agent.act("Hello")]
contents = [c for _, c in observed]
assert "<summary>" not in contents
assert all("compact" not in (c or "").lower() for c in contents)
@pytest.mark.asyncio
async def test_compact_replaces_messages_with_context() -> None:
backend = FakeBackend([
[mock_llm_chunk(content="<summary>")],
[mock_llm_chunk(content="<final>")],
])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=1))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.stats.context_tokens = 2
[_ async for _ in agent.act("Hello")]
# After compact + final response: system, compaction context, final.
assert agent.messages[0].role == Role.system
assert agent.messages[-1].role == Role.assistant
assert agent.messages[-1].content == "<final>"
class _ModelTrackingBackend(FakeBackend):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.requested_models: list[ModelConfig] = []
async def complete(self, *, model, **kwargs):
self.requested_models.append(model)
return await super().complete(model=model, **kwargs)
@pytest.mark.asyncio
async def test_compact_uses_compaction_model() -> None:
"""When compaction_model is set, compact() uses it instead of active_model."""
compaction = ModelConfig(
name="compaction-model",
provider="mistral",
alias="compaction",
auto_compact_threshold=1,
)
backend = _ModelTrackingBackend([
[mock_llm_chunk(content="<summary>")],
[mock_llm_chunk(content="<final>")],
])
cfg = build_test_vibe_config(
models=make_test_models(auto_compact_threshold=1), compaction_model=compaction
)
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.stats.context_tokens = 2
[_ async for _ in agent.act("Hello")]
assert backend.requested_models[0].name == "compaction-model"
assert backend.requested_models[1].name != "compaction-model"
@pytest.mark.asyncio
async def test_compact_uses_active_model_when_no_compaction_model() -> None:
"""Without compaction_model, compact() falls back to the active model."""
backend = _ModelTrackingBackend([
[mock_llm_chunk(content="<summary>")],
[mock_llm_chunk(content="<final>")],
])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=1))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.stats.context_tokens = 2
[_ async for _ in agent.act("Hello")]
active = cfg.get_active_model()
assert backend.requested_models[0].name == active.name
assert backend.requested_models[1].name == active.name
@pytest.mark.asyncio
async def test_compact_appends_extra_instructions_to_prompt() -> None:
backend = FakeBackend([[mock_llm_chunk(content="<summary>")]])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=999))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="Hello"))
agent.stats.context_tokens = 100
await agent.compact(extra_instructions="focus on auth")
compaction_prompt = backend.requests_messages[0][-1].content
assert compaction_prompt is not None
assert "## Additional Instructions" in compaction_prompt
assert "focus on auth" in compaction_prompt
@pytest.mark.asyncio
async def test_compact_uses_configured_compaction_prompt(
mock_prompts_dirs: tuple[Path, Path],
) -> None:
project_prompts, _ = mock_prompts_dirs
(project_prompts / "theorem_compact.md").write_text("Summarize theorem progress")
backend = FakeBackend([[mock_llm_chunk(content="<summary>")]])
cfg = build_test_vibe_config(
models=make_test_models(auto_compact_threshold=999),
compaction_prompt_id="theorem_compact",
)
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="Hello"))
agent.stats.context_tokens = 100
await agent.compact()
compaction_prompt = backend.requests_messages[0][-1].content
assert compaction_prompt == "Summarize theorem progress"
@pytest.mark.asyncio
async def test_compact_without_extra_instructions_has_no_additional_section() -> None:
backend = FakeBackend([[mock_llm_chunk(content="<summary>")]])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=999))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="Hello"))
agent.stats.context_tokens = 100
await agent.compact()
compaction_prompt = backend.requests_messages[0][-1].content
assert compaction_prompt is not None
assert "## Additional Instructions" not in compaction_prompt
@pytest.mark.asyncio
async def test_compact_raises_on_tool_call_when_flag_enabled() -> None:
"""With the flag on, a compaction that returns a tool call raises."""
backend = FakeBackend([
[
mock_llm_chunk(
content="",
tool_calls=[
ToolCall(
id="t1",
index=0,
function=FunctionCall(name="bash", arguments="{}"),
)
],
)
]
])
cfg = build_test_vibe_config(
models=make_test_models(auto_compact_threshold=999),
raise_on_compaction_failure=True,
)
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="Hello"))
agent.stats.context_tokens = 100
with pytest.raises(CompactionFailedError) as exc_info:
await agent.compact()
assert exc_info.value.reason == "tool_call"
@pytest.mark.asyncio
async def test_compact_raises_on_empty_summary_when_flag_enabled() -> None:
"""With the flag on, a compaction with empty content raises."""
backend = FakeBackend([[mock_llm_chunk(content=" ")]])
cfg = build_test_vibe_config(
models=make_test_models(auto_compact_threshold=999),
raise_on_compaction_failure=True,
)
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="Hello"))
agent.stats.context_tokens = 100
with pytest.raises(CompactionFailedError) as exc_info:
await agent.compact()
assert exc_info.value.reason == "empty_summary"
@pytest.mark.asyncio
async def test_compact_falls_back_when_flag_disabled() -> None:
"""With the flag off (default), empty content uses the legacy fallback."""
backend = FakeBackend([[mock_llm_chunk(content="")]])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=999))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="Hello"))
agent.stats.context_tokens = 100
summary = await agent.compact()
assert summary == "(no summary available)"
@pytest.mark.asyncio
async def test_compact_message_shape_preserves_prior_user_messages() -> None:
from vibe.core.compaction import parse_previous_user_messages
from vibe.core.prompts import UtilityPrompt
summary_prefix = UtilityPrompt.COMPACT_SUMMARY_PREFIX.read()
backend = FakeBackend([[mock_llm_chunk(content="fresh summary body")]])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=999))
agent = build_test_agent_loop(config=cfg, backend=backend)
system_message_before = agent.messages[0]
agent.messages.append(LLMMessage(role=Role.user, content="first real ask"))
agent.messages.append(
LLMMessage(role=Role.user, content="middleware ping", injected=True)
)
agent.messages.append(LLMMessage(role=Role.assistant, content="ack"))
agent.messages.append(
LLMMessage(
role=Role.user,
content=f"{summary_prefix}\nprior summary blob",
injected=True,
)
)
agent.messages.append(LLMMessage(role=Role.user, content="follow-up ask"))
agent.stats.context_tokens = 100
await agent.compact()
final = list(agent.messages)
assert len(final) == 2 # [system, compaction_context]
assert final[0] is system_message_before
assert final[1].role == Role.user
assert final[1].injected is True
assert parse_previous_user_messages(final[1].content or "") == [
"first real ask",
"follow-up ask",
]
assert "Here are some of the most recent previous user messages" in (
final[1].content or ""
)
assert "<compaction_summary>" in (final[1].content or "")
assert "fresh summary body" in (final[1].content or "")
# Injected and prior-summary user messages must be filtered out.
assert all("middleware ping" not in (m.content or "") for m in final)
assert sum("prior summary blob" in (m.content or "") for m in final) == 0
@pytest.mark.asyncio
async def test_compact_preserves_user_messages_across_repeated_compactions() -> None:
from vibe.core.compaction import parse_previous_user_messages
backend = FakeBackend([
[mock_llm_chunk(content="summary one")],
[mock_llm_chunk(content="summary two")],
])
cfg = build_test_vibe_config(models=make_test_models(auto_compact_threshold=999))
agent = build_test_agent_loop(config=cfg, backend=backend)
agent.messages.append(LLMMessage(role=Role.user, content="first ask"))
agent.stats.context_tokens = 100
await agent.compact()
agent.messages.append(LLMMessage(role=Role.user, content="second ask"))
agent.stats.context_tokens = 100
await agent.compact()
final = list(agent.messages)
assert len(final) == 2
assert parse_previous_user_messages(final[1].content or "") == [
"first ask",
"second ask",
]