Files
crewAI/lib/crewai/tests/test_checkpoint.py
Vini Brasil 6ad821b157 Add expressions to FlowDefinition actions (#6145)
* Add expressions to FlowDefinition actions

Let definitions compute values without Python. A new `call: expression`
action evaluates a Common Expression Language (CEL) expression, and tool
`with:` blocks now render `${...}` CEL templates.

Example 1:

```yaml
decide:
  do:
    call: expression
    expr: "state.score >= 80 ? 'qualified' : 'nurture'"
  router: true
  emit: [qualified, nurture]
```

Example 2:

```yaml
search:
  do:
    call: tool
    ref: my.pkg:SearchTool
    with:
      search_query: "${outputs.build_query.query + ' news'}"
      max_results: "${state.limit}"
```

* Address code review comments

* Address code review comments

* Fix linting offenses

* Address code review comments

* Fix scrapgraph issue
2026-06-12 21:56:02 -07:00

807 lines
29 KiB
Python

"""Tests for CheckpointConfig, checkpoint listener, pruning, and forking."""
from __future__ import annotations
import inspect
import json
import os
import sqlite3
import tempfile
import time
from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from pydantic import BaseModel
from crewai.agent.core import Agent
from crewai.agents.agent_builder.base_agent import BaseAgent
from crewai.crew import Crew
from crewai.llms.base_llm import BaseLLM
from crewai.flow.flow import _INITIAL_STATE_CLASS_MARKER, Flow, start
from crewai.state.checkpoint_config import CheckpointConfig
from crewai.state.checkpoint_listener import (
_find_checkpoint,
_resolve,
_SENTINEL,
)
from crewai.state.provider.json_provider import JsonProvider
from crewai.state.provider.sqlite_provider import SqliteProvider
from crewai.state.runtime import RuntimeState
from crewai.task import Task
class TestResolve:
def test_none_returns_none(self) -> None:
assert _resolve(None) is None
def test_false_returns_sentinel(self) -> None:
assert _resolve(False) is _SENTINEL
def test_true_returns_config(self) -> None:
result = _resolve(True)
assert isinstance(result, CheckpointConfig)
assert result.location == "./.checkpoints"
def test_config_returns_config(self) -> None:
cfg = CheckpointConfig(location="/tmp/cp")
assert _resolve(cfg) is cfg
class TestFindCheckpoint:
def _make_agent(self, checkpoint: Any = None) -> Agent:
return Agent(role="r", goal="g", backstory="b", checkpoint=checkpoint)
def _make_crew(
self, agents: list[Agent], checkpoint: Any = None
) -> Crew:
crew = Crew(agents=agents, tasks=[], checkpoint=checkpoint)
for a in agents:
a.crew = crew
return crew
def test_crew_true(self) -> None:
a = self._make_agent()
self._make_crew([a], checkpoint=True)
cfg = _find_checkpoint(a)
assert isinstance(cfg, CheckpointConfig)
def test_crew_true_agent_false_opts_out(self) -> None:
a = self._make_agent(checkpoint=False)
self._make_crew([a], checkpoint=True)
assert _find_checkpoint(a) is None
def test_crew_none_agent_none(self) -> None:
a = self._make_agent()
self._make_crew([a])
assert _find_checkpoint(a) is None
def test_agent_config_overrides_crew(self) -> None:
a = self._make_agent(
checkpoint=CheckpointConfig(location="/agent_cp")
)
self._make_crew([a], checkpoint=True)
cfg = _find_checkpoint(a)
assert isinstance(cfg, CheckpointConfig)
assert cfg.location == "/agent_cp"
def test_task_inherits_from_crew(self) -> None:
a = self._make_agent()
self._make_crew([a], checkpoint=True)
task = Task(description="d", expected_output="e", agent=a)
cfg = _find_checkpoint(task)
assert isinstance(cfg, CheckpointConfig)
def test_task_agent_false_blocks(self) -> None:
a = self._make_agent(checkpoint=False)
self._make_crew([a], checkpoint=True)
task = Task(description="d", expected_output="e", agent=a)
assert _find_checkpoint(task) is None
def test_flow_direct(self) -> None:
flow = Flow(checkpoint=True)
cfg = _find_checkpoint(flow)
assert isinstance(cfg, CheckpointConfig)
def test_flow_none(self) -> None:
flow = Flow()
assert _find_checkpoint(flow) is None
def test_unknown_source(self) -> None:
assert _find_checkpoint("random") is None
class TestPrune:
def test_prune_keeps_newest(self) -> None:
with tempfile.TemporaryDirectory() as d:
branch_dir = os.path.join(d, "main")
os.makedirs(branch_dir)
for i in range(5):
path = os.path.join(branch_dir, f"cp_{i}.json")
with open(path, "w") as f:
f.write("{}")
# Ensure distinct mtime
time.sleep(0.01)
JsonProvider().prune(d, max_keep=2, branch="main")
remaining = os.listdir(branch_dir)
assert len(remaining) == 2
assert "cp_3.json" in remaining
assert "cp_4.json" in remaining
def test_prune_zero_removes_all(self) -> None:
with tempfile.TemporaryDirectory() as d:
branch_dir = os.path.join(d, "main")
os.makedirs(branch_dir)
for i in range(3):
with open(os.path.join(branch_dir, f"cp_{i}.json"), "w") as f:
f.write("{}")
JsonProvider().prune(d, max_keep=0, branch="main")
assert os.listdir(branch_dir) == []
def test_prune_more_than_existing(self) -> None:
with tempfile.TemporaryDirectory() as d:
branch_dir = os.path.join(d, "main")
os.makedirs(branch_dir)
with open(os.path.join(branch_dir, "cp.json"), "w") as f:
f.write("{}")
JsonProvider().prune(d, max_keep=10, branch="main")
assert len(os.listdir(branch_dir)) == 1
class TestCheckpointConfig:
def test_defaults(self) -> None:
cfg = CheckpointConfig()
assert cfg.location == "./.checkpoints"
assert cfg.on_events == ["task_completed"]
assert cfg.max_checkpoints is None
assert not cfg.trigger_all
def test_trigger_all(self) -> None:
cfg = CheckpointConfig(on_events=["*"])
assert cfg.trigger_all
def test_restore_from_field(self) -> None:
cfg = CheckpointConfig(restore_from="/path/to/checkpoint.json")
assert cfg.restore_from == "/path/to/checkpoint.json"
def test_restore_from_default_none(self) -> None:
cfg = CheckpointConfig()
assert cfg.restore_from is None
def test_trigger_events(self) -> None:
cfg = CheckpointConfig(
on_events=["task_completed", "crew_kickoff_completed"]
)
assert cfg.trigger_events == {"task_completed", "crew_kickoff_completed"}
class TestRuntimeStateLineage:
def _make_state(self) -> RuntimeState:
from crewai import Agent, Crew
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
crew = Crew(agents=[agent], tasks=[], verbose=False)
return RuntimeState(root=[crew])
def test_default_lineage_fields(self) -> None:
state = self._make_state()
assert state._checkpoint_id is None
assert state._parent_id is None
assert state._branch == "main"
def test_serialize_includes_version(self) -> None:
from crewai_core.version import get_crewai_version
state = self._make_state()
dumped = json.loads(state.model_dump_json())
assert dumped["crewai_version"] == get_crewai_version()
def test_deserialize_migrates_on_version_mismatch(self, caplog: Any) -> None:
import logging
state = self._make_state()
raw = state.model_dump_json()
data = json.loads(raw)
data["crewai_version"] = "0.1.0"
with caplog.at_level(logging.DEBUG):
RuntimeState.model_validate_json(
json.dumps(data), context={"from_checkpoint": True}
)
assert "Migrating checkpoint from crewAI 0.1.0" in caplog.text
def test_deserialize_warns_on_missing_version(self, caplog: Any) -> None:
import logging
state = self._make_state()
raw = state.model_dump_json()
data = json.loads(raw)
data.pop("crewai_version", None)
with caplog.at_level(logging.WARNING):
RuntimeState.model_validate_json(
json.dumps(data), context={"from_checkpoint": True}
)
assert "treating as 0.0.0" in caplog.text
def test_serialize_includes_lineage(self) -> None:
state = self._make_state()
state._parent_id = "parent456"
state._branch = "experiment"
dumped = json.loads(state.model_dump_json())
assert dumped["parent_id"] == "parent456"
assert dumped["branch"] == "experiment"
assert "checkpoint_id" not in dumped
def test_deserialize_restores_lineage(self) -> None:
state = self._make_state()
state._parent_id = "parent456"
state._branch = "experiment"
raw = state.model_dump_json()
restored = RuntimeState.model_validate_json(
raw, context={"from_checkpoint": True}
)
assert restored._parent_id == "parent456"
assert restored._branch == "experiment"
def test_deserialize_defaults_missing_lineage(self) -> None:
state = self._make_state()
raw = state.model_dump_json()
data = json.loads(raw)
data.pop("parent_id", None)
data.pop("branch", None)
restored = RuntimeState.model_validate_json(
json.dumps(data), context={"from_checkpoint": True}
)
assert restored._parent_id is None
assert restored._branch == "main"
def test_from_checkpoint_sets_checkpoint_id(self) -> None:
"""from_checkpoint sets _checkpoint_id from the location, not the blob."""
state = self._make_state()
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
loc = state.checkpoint(d)
written_id = state._checkpoint_id
cfg = CheckpointConfig(restore_from=loc)
restored = RuntimeState.from_checkpoint(
cfg, context={"from_checkpoint": True}
)
assert restored._checkpoint_id == written_id
assert restored._parent_id == written_id
def test_fork_sets_branch(self) -> None:
state = self._make_state()
state._checkpoint_id = "abc12345"
state._parent_id = "abc12345"
state.fork("my-experiment")
assert state._branch == "my-experiment"
assert state._parent_id == "abc12345"
def test_fork_auto_branch(self) -> None:
state = self._make_state()
state._checkpoint_id = "20260409T120000_abc12345"
state.fork()
assert state._branch.startswith("fork/20260409T120000_abc12345_")
assert len(state._branch) == len("fork/20260409T120000_abc12345_") + 6
def test_fork_no_checkpoint_id_unique(self) -> None:
state = self._make_state()
state.fork()
assert state._branch.startswith("fork/")
assert len(state._branch) == len("fork/") + 8
# Two forks without checkpoint_id produce different branches
first = state._branch
state.fork()
assert state._branch != first
class TestFlowInitialStateSerialization:
"""Regression tests for checkpoint serialization of ``Flow.initial_state``."""
def test_class_ref_serializes_as_schema(self) -> None:
class MyState(BaseModel):
id: str = "x"
foo: str = "bar"
flow = Flow(initial_state=MyState)
state = RuntimeState(root=[flow])
dumped = json.loads(state.model_dump_json())
entity = dumped["entities"][0]
wrapped = entity["initial_state"]
assert isinstance(wrapped, dict)
assert _INITIAL_STATE_CLASS_MARKER in wrapped
assert wrapped[_INITIAL_STATE_CLASS_MARKER].get("title") == "MyState"
def test_class_ref_round_trips_to_basemodel_subclass(self) -> None:
class MyState(BaseModel):
id: str = "x"
foo: str = "bar"
flow = Flow(initial_state=MyState)
raw = RuntimeState(root=[flow]).model_dump_json()
restored = RuntimeState.model_validate_json(
raw, context={"from_checkpoint": True}
)
rehydrated = restored.root[0].initial_state
assert isinstance(rehydrated, type)
assert issubclass(rehydrated, BaseModel)
assert set(rehydrated.model_fields.keys()) == {"id", "foo"}
def test_instance_serializes_as_values(self) -> None:
class MyState(BaseModel):
id: str = "x"
foo: str = "bar"
flow = Flow(initial_state=MyState(foo="baz"))
state = RuntimeState(root=[flow])
dumped = json.loads(state.model_dump_json())
entity = dumped["entities"][0]
assert entity["initial_state"] == {"id": "x", "foo": "baz"}
def test_dict_passthrough(self) -> None:
flow = Flow(initial_state={"id": "x", "foo": "bar"})
state = RuntimeState(root=[flow])
dumped = json.loads(state.model_dump_json())
entity = dumped["entities"][0]
assert entity["initial_state"] == {"id": "x", "foo": "bar"}
def test_dict_round_trips_as_dict(self) -> None:
flow = Flow(initial_state={"id": "x", "foo": "bar"})
raw = RuntimeState(root=[flow]).model_dump_json()
restored = RuntimeState.model_validate_json(
raw, context={"from_checkpoint": True}
)
assert restored.root[0].initial_state == {"id": "x", "foo": "bar"}
class TestJsonProviderFork:
def test_checkpoint_writes_to_branch_subdir(self) -> None:
provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
path = provider.checkpoint("{}", d, branch="main")
assert "/main/" in path
assert path.endswith(".json")
assert os.path.isfile(path)
def test_checkpoint_fork_branch_subdir(self) -> None:
provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
path = provider.checkpoint("{}", d, branch="fork/exp1")
assert "/fork/exp1/" in path
assert os.path.isfile(path)
def test_prune_branch_aware(self) -> None:
provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
for _ in range(3):
provider.checkpoint("{}", d, branch="main")
time.sleep(0.01)
for _ in range(2):
provider.checkpoint("{}", d, branch="fork/a")
time.sleep(0.01)
# Prune main to 1
provider.prune(d, max_keep=1, branch="main")
main_dir = os.path.join(d, "main")
fork_dir = os.path.join(d, "fork", "a")
assert len(os.listdir(main_dir)) == 1
assert len(os.listdir(fork_dir)) == 2
def test_extract_id(self) -> None:
provider = JsonProvider()
assert provider.extract_id("/dir/main/20260409T120000_abc12345_p-none.json") == "20260409T120000_abc12345"
assert provider.extract_id("/dir/main/20260409T120000_abc12345_p-20260409T115900_def67890.json") == "20260409T120000_abc12345"
def test_branch_traversal_rejected(self) -> None:
provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
with pytest.raises(ValueError, match="escapes checkpoint directory"):
provider.checkpoint("{}", d, branch="../../etc")
with pytest.raises(ValueError, match="escapes checkpoint directory"):
provider.prune(d, max_keep=1, branch="../../etc")
def test_filename_encodes_parent_id(self) -> None:
provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
# First checkpoint — no parent
path1 = provider.checkpoint("{}", d, branch="main")
assert "_p-none.json" in path1
# Second checkpoint — with parent
id1 = provider.extract_id(path1)
path2 = provider.checkpoint("{}", d, parent_id=id1, branch="main")
assert f"_p-{id1}.json" in path2
def test_checkpoint_chaining(self) -> None:
"""RuntimeState.checkpoint() chains parent_id after each write."""
state = self._make_state()
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
state.checkpoint(d)
id1 = state._checkpoint_id
assert id1 is not None
assert state._parent_id == id1
loc2 = state.checkpoint(d)
id2 = state._checkpoint_id
assert id2 is not None
assert id2 != id1
assert state._parent_id == id2
with open(loc2) as f:
data2 = json.loads(f.read())
assert data2["parent_id"] == id1
@pytest.mark.asyncio
async def test_acheckpoint_chaining(self) -> None:
"""Async checkpoint path chains lineage identically to sync."""
state = self._make_state()
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
await state.acheckpoint(d)
id1 = state._checkpoint_id
assert id1 is not None
loc2 = await state.acheckpoint(d)
id2 = state._checkpoint_id
assert id2 != id1
assert state._parent_id == id2
with open(loc2) as f:
data2 = json.loads(f.read())
assert data2["parent_id"] == id1
def _make_state(self) -> RuntimeState:
from crewai import Agent, Crew
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
crew = Crew(agents=[agent], tasks=[], verbose=False)
return RuntimeState(root=[crew])
class TestSqliteProviderFork:
def test_checkpoint_stores_branch_and_parent(self) -> None:
provider = SqliteProvider()
with tempfile.TemporaryDirectory() as d:
db = os.path.join(d, "cp.db")
loc = provider.checkpoint("{}", db, parent_id="p1", branch="exp")
cid = provider.extract_id(loc)
with sqlite3.connect(db) as conn:
row = conn.execute(
"SELECT parent_id, branch FROM checkpoints WHERE id = ?",
(cid,),
).fetchone()
assert row == ("p1", "exp")
def test_prune_branch_aware(self) -> None:
provider = SqliteProvider()
with tempfile.TemporaryDirectory() as d:
db = os.path.join(d, "cp.db")
for _ in range(3):
provider.checkpoint("{}", db, branch="main")
for _ in range(2):
provider.checkpoint("{}", db, branch="fork/a")
provider.prune(db, max_keep=1, branch="main")
with sqlite3.connect(db) as conn:
main_count = conn.execute(
"SELECT COUNT(*) FROM checkpoints WHERE branch = 'main'"
).fetchone()[0]
fork_count = conn.execute(
"SELECT COUNT(*) FROM checkpoints WHERE branch = 'fork/a'"
).fetchone()[0]
assert main_count == 1
assert fork_count == 2
def test_extract_id(self) -> None:
provider = SqliteProvider()
assert provider.extract_id("/path/to/db#abc123") == "abc123"
def test_checkpoint_chaining_sqlite(self) -> None:
state = self._make_state()
state._provider = SqliteProvider()
with tempfile.TemporaryDirectory() as d:
db = os.path.join(d, "cp.db")
state.checkpoint(db)
id1 = state._checkpoint_id
state.checkpoint(db)
id2 = state._checkpoint_id
assert id2 != id1
with sqlite3.connect(db) as conn:
row = conn.execute(
"SELECT parent_id FROM checkpoints WHERE id = ?", (id2,)
).fetchone()
assert row[0] == id1
def _make_state(self) -> RuntimeState:
from crewai import Agent, Crew
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
crew = Crew(agents=[agent], tasks=[], verbose=False)
return RuntimeState(root=[crew])
class TestKickoffFromCheckpoint:
def test_crew_kickoff_delegates_to_from_checkpoint(self) -> None:
mock_restored = MagicMock(spec=Crew)
mock_restored.kickoff.return_value = "result"
cfg = CheckpointConfig(restore_from="/path/to/cp.json")
with patch.object(Crew, "from_checkpoint", return_value=mock_restored):
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
crew = Crew(agents=[agent], tasks=[], verbose=False)
result = crew.kickoff(inputs={"k": "v"}, from_checkpoint=cfg)
mock_restored.kickoff.assert_called_once_with(
inputs={"k": "v"}, input_files=None
)
assert mock_restored.checkpoint.restore_from is None
assert result == "result"
def test_crew_kickoff_config_only_sets_checkpoint(self) -> None:
cfg = CheckpointConfig(on_events=["task_completed"])
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
crew = Crew(agents=[agent], tasks=[], verbose=False)
assert crew.checkpoint is None
with patch("crewai.crew.get_env_context"), \
patch("crewai.crew.prepare_kickoff", side_effect=RuntimeError("stop")):
with pytest.raises(RuntimeError, match="stop"):
crew.kickoff(from_checkpoint=cfg)
assert isinstance(crew.checkpoint, CheckpointConfig)
assert crew.checkpoint.on_events == ["task_completed"]
def test_agent_kickoff_delegates_to_from_checkpoint(self) -> None:
mock_restored = MagicMock(spec=Agent)
mock_restored.kickoff.return_value = "agent_result"
cfg = CheckpointConfig(restore_from="/path/to/agent_cp.json")
with patch.object(Agent, "from_checkpoint", return_value=mock_restored):
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
result = agent.kickoff(messages="hello", from_checkpoint=cfg)
mock_restored.kickoff.assert_called_once_with(
messages="hello", response_format=None, input_files=None
)
assert mock_restored.checkpoint.restore_from is None
assert result == "agent_result"
def test_agent_kickoff_config_only_sets_checkpoint(self) -> None:
cfg = CheckpointConfig(on_events=["lite_agent_execution_completed"])
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
assert agent.checkpoint is None
with patch.object(Agent, "_prepare_kickoff", side_effect=RuntimeError("stop")):
with pytest.raises(RuntimeError, match="stop"):
agent.kickoff(messages="hello", from_checkpoint=cfg)
assert isinstance(agent.checkpoint, CheckpointConfig)
assert agent.checkpoint.on_events == ["lite_agent_execution_completed"]
def test_flow_kickoff_delegates_to_from_checkpoint(self) -> None:
mock_restored = MagicMock(spec=Flow)
mock_restored.kickoff.return_value = "flow_result"
cfg = CheckpointConfig(restore_from="/path/to/flow_cp.json")
with patch.object(Flow, "from_checkpoint", return_value=mock_restored):
flow = Flow()
result = flow.kickoff(from_checkpoint=cfg)
mock_restored.kickoff.assert_called_once_with(
inputs=None, input_files=None
)
assert mock_restored.checkpoint.restore_from is None
assert result == "flow_result"
class TestLegacyMethodOutputsRestore:
def test_restore_wraps_legacy_plain_value_outputs(self) -> None:
flow = Flow()
flow._method_outputs = ["first", "second"]
state = RuntimeState(root=[flow])
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
loc = state.checkpoint(d)
cfg = CheckpointConfig(restore_from=loc)
restored = Flow.from_checkpoint(cfg)
assert restored.method_outputs == ["first", "second"]
def test_restore_legacy_outputs_evaluates_expressions(self) -> None:
from crewai.flow.runtime._expressions import _expression_context
flow = Flow()
flow._method_outputs = ["legacy"]
state = RuntimeState(root=[flow])
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
loc = state.checkpoint(d)
cfg = CheckpointConfig(restore_from=loc)
restored = Flow.from_checkpoint(cfg)
context = _expression_context(restored)
assert context["outputs"] == {"": "legacy"}
def test_raw_legacy_outputs_remain_readable(self) -> None:
from crewai.flow.runtime._expressions import _expression_context
flow = Flow()
flow._method_outputs = ["legacy"]
assert flow.method_outputs == ["legacy"]
assert _expression_context(flow)["outputs"] == {"": "legacy"}
class TestAgentCheckpoint:
def _make_agent_state(self) -> RuntimeState:
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
return RuntimeState(root=[agent])
def test_agent_from_checkpoint_sets_runtime_state(self) -> None:
state = self._make_agent_state()
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
loc = state.checkpoint(d)
cfg = CheckpointConfig(restore_from=loc)
from crewai.events.event_bus import crewai_event_bus
crewai_event_bus._runtime_state = None
Agent.from_checkpoint(cfg)
assert crewai_event_bus._runtime_state is not None
def test_agent_fork_sets_branch(self) -> None:
state = self._make_agent_state()
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
loc = state.checkpoint(d)
cfg = CheckpointConfig(restore_from=loc)
from crewai.events.event_bus import crewai_event_bus
Agent.fork(cfg, branch="agent-experiment")
rt = crewai_event_bus._runtime_state
assert rt is not None
assert rt._branch == "agent-experiment"
def test_agent_fork_auto_branch(self) -> None:
state = self._make_agent_state()
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
loc = state.checkpoint(d)
cfg = CheckpointConfig(restore_from=loc)
from crewai.events.event_bus import crewai_event_bus
Agent.fork(cfg)
rt = crewai_event_bus._runtime_state
assert rt is not None
assert rt._branch.startswith("fork/")
def test_sync_checkpoint_fields_agent(self) -> None:
from crewai.state.runtime import _sync_checkpoint_fields
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
agent._kickoff_event_id = "evt-123"
_sync_checkpoint_fields(agent)
assert agent.checkpoint_kickoff_event_id == "evt-123"
def test_agent_restore_kickoff_event_id(self) -> None:
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
agent._kickoff_event_id = "evt-456"
state = RuntimeState(root=[agent])
state._provider = JsonProvider()
with tempfile.TemporaryDirectory() as d:
from crewai.state.runtime import _prepare_entities
_prepare_entities(state.root)
loc = state.checkpoint(d)
cfg = CheckpointConfig(restore_from=loc)
restored = Agent.from_checkpoint(cfg)
assert restored._kickoff_event_id == "evt-456"
class _FinalAnswerLLM(BaseLLM):
"""Stub LLM that always returns a final answer without any API calls."""
def __init__(self) -> None:
super().__init__(model="stub")
def call(
self,
messages,
tools=None,
callbacks=None,
available_functions=None,
from_task=None,
from_agent=None,
response_model=None,
):
return "Final Answer: done."
def supports_function_calling(self) -> bool:
return False
def supports_stop_words(self) -> bool:
return False
def get_context_window_size(self) -> int:
return 4096
async def acall(self, *args, **kwargs):
raise NotImplementedError
class TestCheckpointReusedExecutor:
"""Checkpoint serialization stamps every live Flow's completed methods.
The agent executor is a Flow reused across a crew's tasks, so the stamp
must not be read back as a restore signal on the next task — otherwise the
second task replays as a resume and never reaches a final answer.
"""
def test_second_task_runs_with_checkpointing_enabled(self) -> None:
agent = Agent(role="r", goal="g", backstory="b", llm=_FinalAnswerLLM())
task1 = Task(description="first", expected_output="x", agent=agent)
task2 = Task(description="second", expected_output="y", agent=agent)
with tempfile.TemporaryDirectory() as d:
crew = Crew(
agents=[agent],
tasks=[task1, task2],
verbose=False,
checkpoint=CheckpointConfig(
provider=JsonProvider(location=d),
on_events=["task_started", "task_completed"],
),
)
result = crew.kickoff()
assert len(result.tasks_output) == 2
assert result.tasks_output[1].raw
class TestCustomLLMCheckpointRestore:
"""A custom BaseLLM subclass serializes with the inherited llm_type "base".
Restoring it must not try to instantiate the abstract BaseLLM; it is rebuilt
as a concrete LLM from the saved config instead.
"""
def test_restore_does_not_instantiate_abstract_base_llm(self) -> None:
agent = Agent(role="r", goal="g", backstory="b", llm=_FinalAnswerLLM())
task = Task(description="d", expected_output="e", agent=agent)
crew = Crew(agents=[agent], tasks=[task], verbose=False)
raw = RuntimeState(root=[crew]).model_dump_json()
restored = RuntimeState.model_validate_json(
raw, context={"from_checkpoint": True}
)
llm = restored.root[0].agents[0].llm
assert isinstance(llm, BaseLLM)
assert not inspect.isabstract(type(llm))
assert llm.model == "stub"