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...

4 Commits

Author SHA1 Message Date
João Moura
8153b67f5d docs: snapshot and changelog for v1.14.8a1 (#6223) 2026-06-18 14:46:37 -03:00
João Moura
c226722e22 feat: bump versions to 1.14.8a1 (#6222)
* test

* feat: bump versions to 1.14.8a1
2026-06-18 14:44:10 -03:00
Vinicius Brasil
b5e23a87f2 Add optional if expression to each.do steps (#6214)
* Use explicit name/action shape for each.do steps

* Add optional `if` expression to `each.do` steps

Lets a step inside an `each` action run conditionally based on a CEL
expression evaluated against `item` and prior step `outputs`.
2026-06-18 10:33:13 -07:00
João Moura
504c5c9b04 JSON crew fixes (#6217)
* feat: update pyproject.toml to specify wheel targets

Added a new section to the pyproject.toml file to include only specific files in the wheel build, enhancing the packaging process. Updated tests to verify the inclusion of these targets.

* feat: add memory save event handling to activity log

Implemented event handlers for MemorySaveStartedEvent, MemorySaveCompletedEvent, and MemorySaveFailedEvent in the crew_run_tui module. This allows the application to log memory save operations, capturing their status and details in the activity log. Added corresponding tests to verify the correct logging behavior for successful and failed memory saves.

* feat: enhance memory save event handling in activity log

Added functionality to suppress nested memory save events and updated the handling of MemorySaveStartedEvent, MemorySaveCompletedEvent, and MemorySaveFailedEvent to improve logging accuracy. Introduced new tests to verify the correct behavior of memory save events, including scenarios for nested events and completion updates for timed-out entries.

* Fix memory save activity log handling

* Normalize alpha package versions

* Update scaffolded crew dependency

* feat: add button to copy setup instructions for CrewAI coding agents

Introduced a button in the documentation that allows users to easily copy setup instructions for CrewAI coding agents. The instructions include installation steps, environment setup, and best practices for using the CrewAI CLI. This enhancement aims to streamline the onboarding process for new users.

* Improve missing CrewAI install guidance

* fix: address pr review feedback

* fix: avoid mismatched memory save rows

* fix: wait for queued memory save events

* fix: avoid matching memory saves on missing ids

* chore: normalize prerelease version to 1.14.8a1
2026-06-18 14:14:54 -03:00
33 changed files with 1465 additions and 119 deletions

View File

@@ -4,6 +4,28 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
icon: "clock"
mode: "wide"
---
<Update label="18 يونيو 2026">
## v1.14.8a1
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a1)
## ما الذي تغير
### الميزات
- إضافة تعبير if اختياري إلى خطوات each.do
### إصلاحات الأخطاء
- إصلاح مشكلات JSON crew
### الوثائق
- تحديث snapshot و changelog للإصدار v1.14.8a
## المساهمون
@joaomdmoura, @vinibrsl
</Update>
<Update label="17 يونيو 2026">
## v1.14.8a

View File

@@ -4,6 +4,28 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="Jun 18, 2026">
## v1.14.8a1
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a1)
## What's Changed
### Features
- Add optional if expression to each.do steps
### Bug Fixes
- Fix JSON crew issues
### Documentation
- Update snapshot and changelog for v1.14.8a
## Contributors
@joaomdmoura, @vinibrsl
</Update>
<Update label="Jun 17, 2026">
## v1.14.8a

View File

@@ -28,6 +28,60 @@ mode: "wide"
<div style={{ display: 'flex', flexWrap: 'wrap', gap: 12, justifyContent: 'center' }}>
<a className="button button-primary" href="/en/quickstart">Get started</a>
<button
type="button"
className="button"
onClick={async (event) => {
const prompt = `Set up this environment so I can build with CrewAI.
First install the official CrewAI coding-agent skills if this environment supports npx:
npx skills add crewaiinc/skills
If npx is missing or the current agent cannot load skills, do not fail the whole setup. Report the exact issue and continue using the CrewAI docs directly.
Use these CrewAI docs as source of truth before making assumptions:
- https://skills.crewai.com
- https://docs.crewai.com/llms.txt
- https://docs.crewai.com/en/installation
- https://docs.crewai.com/en/guides/coding-tools/build-with-ai
Setup steps:
1. Check python3 --version. CrewAI requires Python >=3.10 and <3.14.
2. Install uv if missing:
curl -LsSf https://astral.sh/uv/install.sh | sh
3. Source the uv environment if needed:
source "$HOME/.local/bin/env"
4. Install the CrewAI CLI:
uv tool install crewai
5. Verify the CLI:
crewai version
crewai create --help
6. Create a project:
CREWAI_DMN=true crewai create
7. After project creation, inspect the generated files before editing.
8. Run:
crewai install
crewai run
Do not hardcode API keys. Use .env.
Do not invent CLI flags. Validate with crewai --help or crewai create --help.
If a command fails, show the exact command and error, explain the likely cause, fix what you can safely fix, and retry once.`;
const button = event.currentTarget;
try {
await navigator.clipboard.writeText(prompt);
button.textContent = "Copied";
} catch {
button.textContent = "Copy failed";
} finally {
window.setTimeout(() => {
button.textContent = "Copy instructions for coding agents";
}, 1600);
}
}}
>
Copy instructions for coding agents
</button>
<a className="button" href="/en/changelog">View changelog</a>
<a className="button" href="/en/api-reference/introduction">API Reference</a>
</div>

View File

@@ -9,7 +9,60 @@ mode: "wide"
Install our coding agent skills (Claude Code, Codex, ...) to quickly get your coding agents up and running with CrewAI.
You can install it with `npx skills add crewaiinc/skills`
<button
type="button"
className="button button-primary"
onClick={async (event) => {
const prompt = `Set up this environment so I can build with CrewAI.
First install the official CrewAI coding-agent skills if this environment supports npx:
npx skills add crewaiinc/skills
If npx is missing or the current agent cannot load skills, do not fail the whole setup. Report the exact issue and continue using the CrewAI docs directly.
Use these CrewAI docs as source of truth before making assumptions:
- https://skills.crewai.com
- https://docs.crewai.com/llms.txt
- https://docs.crewai.com/en/installation
- https://docs.crewai.com/en/guides/coding-tools/build-with-ai
Setup steps:
1. Check python3 --version. CrewAI requires Python >=3.10 and <3.14.
2. Install uv if missing:
curl -LsSf https://astral.sh/uv/install.sh | sh
3. Source the uv environment if needed:
source "$HOME/.local/bin/env"
4. Install the CrewAI CLI:
uv tool install crewai
5. Verify the CLI:
crewai version
crewai create --help
6. Create a project:
CREWAI_DMN=true crewai create
7. After project creation, inspect the generated files before editing.
8. Run:
crewai install
crewai run
Do not hardcode API keys. Use .env.
Do not invent CLI flags. Validate with crewai --help or crewai create --help.
If a command fails, show the exact command and error, explain the likely cause, fix what you can safely fix, and retry once.`;
const button = event.currentTarget;
try {
await navigator.clipboard.writeText(prompt);
button.textContent = "Copied";
} catch {
button.textContent = "Copy failed";
} finally {
window.setTimeout(() => {
button.textContent = "Copy instructions for coding agents";
}, 1600);
}
}}
>
Copy instructions for coding agents
</button>
<iframe src="https://www.loom.com/embed/befb9f68b81f42ad8112bfdd95a780af" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style={{width: "100%", height: "400px"}}></iframe>

View File

@@ -4,6 +4,28 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
icon: "clock"
mode: "wide"
---
<Update label="2026년 6월 18일">
## v1.14.8a1
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a1)
## 변경 사항
### 기능
- 각 do 단계에 선택적 if 표현식을 추가
### 버그 수정
- JSON 크루 문제 수정
### 문서
- v1.14.8a의 스냅샷 및 변경 로그 업데이트
## 기여자
@joaomdmoura, @vinibrsl
</Update>
<Update label="2026년 6월 17일">
## v1.14.8a

View File

@@ -4,6 +4,28 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="18 jun 2026">
## v1.14.8a1
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a1)
## O que Mudou
### Recursos
- Adicionar expressão if opcional aos passos each.do
### Correções de Bugs
- Corrigir problemas de JSON da equipe
### Documentação
- Atualizar snapshot e changelog para v1.14.8a
## Contribuidores
@joaomdmoura, @vinibrsl
</Update>
<Update label="17 jun 2026">
## v1.14.8a

View File

@@ -8,7 +8,7 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.8a",
"crewai-core==1.14.8a1",
"click>=8.1.7,<9",
"pydantic>=2.11.9,<2.13",
"pydantic-settings~=2.10.1",

View File

@@ -1 +1 @@
__version__ = "1.14.8a"
__version__ = "1.14.8a1"

View File

@@ -89,13 +89,16 @@ description = "{name} using crewAI"
authors = [{{ name = "Your Name", email = "you@example.com" }}]
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]>=1.14.7"
"crewai[tools]==1.14.8a1"
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
only-include = ["agents", "crew.jsonc", "tools", "knowledge", "skills"]
[tool.crewai]
type = "crew"
"""

View File

@@ -34,6 +34,25 @@ _C_MUTED = "#666666" # dimmer than _C_DIM for past timeline
_STEP_NUMBER_RE = re.compile(r"\bstep\s+(\d+)\b", re.IGNORECASE)
_REFINEMENT_RE = re.compile(r"^\s*step\s+(\d+)\s*:\s*(.+)\s*$", re.IGNORECASE)
_INTERNAL_TOOL_NAMES = {"create_reasoning_plan"}
_LOG_ARGS_TEXT_LIMIT = 3_000
_LOG_RESULT_TEXT_LIMIT = 5_000
_LOG_TRUNCATION_SUFFIX = "... [truncated]"
# Background memory saves can emit their start event just after kickoff returns.
_MEMORY_SAVE_DRAIN_GRACE_SECONDS = 2.0
def _is_save_to_memory_tool(tool_name: str | None) -> bool:
return (tool_name or "").replace(" ", "_").lower() == "save_to_memory"
def _truncate_log_text(value: Any, limit: int) -> str | None:
if value is None:
return None
text = str(value)
if len(text) <= limit:
return text
suffix = _LOG_TRUNCATION_SUFFIX
return f"{text[: max(0, limit - len(suffix))]}{suffix}"
def _enable_tracing_in_dotenv() -> None:
@@ -519,6 +538,8 @@ FooterKey .footer-key--key {
self._log_expanded: set[int] = set()
self._log_scroll_needed: bool = False
self._log_line_map: list[tuple[int, int, int]] = []
self._suppressed_memory_save_event_ids: set[str] = set()
self._memory_save_drain_timer: Any = None
self._event_handlers: list[tuple[type, Any]] = []
@@ -633,7 +654,6 @@ FooterKey .footer-key--key {
self.call_from_thread(self._on_crew_failed, str(e))
def _on_crew_done(self, output: str | None) -> None:
self._unsubscribe()
with self._lock:
self._status = "completed"
self._final_output = output
@@ -649,6 +669,8 @@ FooterKey .footer-key--key {
now = time.time()
for entry in self._log_entries:
if entry["status"] == "running":
if entry["tool_name"] == "memory_save":
continue
entry["status"] = "timeout"
entry["error"] = "No result received before crew completed"
entry["duration"] = now - entry["start_time"]
@@ -680,9 +702,9 @@ FooterKey .footer-key--key {
self.call_later(self._focus_activity_log)
self._tick_timer.stop()
self._tick_timer = self.set_interval(1 / 2, self._tick)
self._unsubscribe_if_no_running_memory_save(wait_for_queued=True)
def _on_crew_failed(self, error: str) -> None:
self._unsubscribe()
with self._lock:
self._status = "failed"
self._error = error
@@ -692,12 +714,16 @@ FooterKey .footer-key--key {
now = time.time()
for entry in self._log_entries:
if entry["status"] == "running":
if entry["tool_name"] == "memory_save":
continue
entry["status"] = "error"
entry["error"] = "No result received before crew failed"
entry["duration"] = now - entry["start_time"]
self._tick()
self.call_later(self._focus_activity_log)
self._tick_timer.stop()
self._tick_timer = self.set_interval(1 / 2, self._tick)
self._unsubscribe_if_no_running_memory_save(wait_for_queued=True)
# ── Actions ─────────────────────────────────────────────
@@ -1514,6 +1540,53 @@ FooterKey .footer-key--key {
pass
self._event_handlers.clear()
def _has_running_memory_save_locked(self) -> bool:
return any(
entry["tool_name"] == "memory_save" and entry["status"] == "running"
for entry in self._log_entries
)
def _on_memory_save_drain_elapsed(self) -> None:
self._memory_save_drain_timer = None
self._unsubscribe_if_no_running_memory_save()
def _schedule_memory_save_drain_unsubscribe(self) -> bool:
loop = getattr(self, "_loop", None)
if loop is None:
return False
if getattr(self, "_thread_id", None) != threading.get_ident():
try:
loop.call_soon_threadsafe(self._schedule_memory_save_drain_unsubscribe)
except RuntimeError:
return False
return True
if self._memory_save_drain_timer is not None:
self._memory_save_drain_timer.stop()
self._memory_save_drain_timer = self.set_timer(
_MEMORY_SAVE_DRAIN_GRACE_SECONDS,
self._on_memory_save_drain_elapsed,
name="memory-save-drain",
)
return True
def _unsubscribe_if_no_running_memory_save(
self, *, wait_for_queued: bool = False
) -> None:
with self._lock:
should_unsubscribe = (
self._status
in {
"completed",
"failed",
}
and not self._has_running_memory_save_locked()
)
if should_unsubscribe:
if wait_for_queued and self._schedule_memory_save_drain_unsubscribe():
return
self._unsubscribe()
def _subscribe(self) -> None:
from crewai.events.event_bus import crewai_event_bus
from crewai.events.types.crew_events import CrewKickoffStartedEvent
@@ -1802,6 +1875,8 @@ FooterKey .footer-key--key {
entry["status"] == "running"
and entry["tool_name"] != event.tool_name
):
if entry["tool_name"] == "memory_save":
continue
entry["status"] = "timeout"
entry["error"] = (
"No result received before the next tool started"
@@ -1830,6 +1905,7 @@ FooterKey .footer-key--key {
"duration": None,
"task_idx": self._current_task_idx,
"plan_step_number": plan_step_number,
"event_id": event.event_id,
}
)
self._complete_step("teal", f"{event.tool_name}")
@@ -1923,8 +1999,178 @@ FooterKey .footer-key--key {
MemoryRetrievalCompletedEvent,
MemoryRetrievalFailedEvent,
MemoryRetrievalStartedEvent,
MemorySaveCompletedEvent,
MemorySaveFailedEvent,
MemorySaveStartedEvent,
)
def is_nested_save_to_memory_event(event: Any) -> bool:
if event.parent_event_id is None:
return False
state = crewai_event_bus.runtime_state
if state is None:
return False
parent_node = state.event_record.nodes.get(event.parent_event_id)
parent_event = getattr(parent_node, "event", None)
return getattr(
parent_event, "type", None
) == "tool_usage_started" and _is_save_to_memory_tool(
getattr(parent_event, "tool_name", None)
)
@crewai_event_bus.on(MemorySaveStartedEvent)
def on_memory_save_started(source: Any, event: MemorySaveStartedEvent) -> None:
with self._lock:
if is_nested_save_to_memory_event(event):
self._suppressed_memory_save_event_ids.add(event.event_id)
return
for entry in reversed(self._log_entries):
if (
_is_save_to_memory_tool(entry["tool_name"])
and entry.get("event_id") == event.parent_event_id
):
self._suppressed_memory_save_event_ids.add(event.event_id)
return
for entry in reversed(self._log_entries):
if (
entry["tool_name"] == "memory_save"
and entry.get("started_event_id") == event.event_id
):
entry["args"] = _truncate_log_text(
event.value, _LOG_ARGS_TEXT_LIMIT
)
return
self._log_entries.append(
{
"tool_name": "memory_save",
"status": "running",
"args": _truncate_log_text(event.value, _LOG_ARGS_TEXT_LIMIT),
"result": None,
"error": None,
"start_time": time.time(),
"duration": None,
"task_idx": self._current_task_idx,
"event_id": event.event_id,
}
)
self._register_handler(MemorySaveStartedEvent, on_memory_save_started)
@crewai_event_bus.on(MemorySaveCompletedEvent)
def on_memory_save_completed(
source: Any, event: MemorySaveCompletedEvent
) -> None:
with self._lock:
if (
event.started_event_id in self._suppressed_memory_save_event_ids
or is_nested_save_to_memory_event(event)
):
if event.started_event_id is not None:
self._suppressed_memory_save_event_ids.discard(
event.started_event_id
)
else:
for entry in reversed(self._log_entries):
has_started_event_match = (
event.started_event_id is not None
and (
entry.get("event_id") == event.started_event_id
or entry.get("started_event_id")
== event.started_event_id
)
)
has_running_event_without_id = (
event.started_event_id is None
and entry["status"] == "running"
)
if entry["tool_name"] == "memory_save" and (
has_running_event_without_id or has_started_event_match
):
entry["status"] = "success"
entry["duration"] = event.save_time_ms / 1000
entry["result"] = _truncate_log_text(
event.value, _LOG_RESULT_TEXT_LIMIT
)
entry["error"] = None
entry["started_event_id"] = event.started_event_id
break
else:
self._log_entries.append(
{
"tool_name": "memory_save",
"status": "success",
"args": None,
"result": _truncate_log_text(
event.value, _LOG_RESULT_TEXT_LIMIT
),
"error": None,
"start_time": time.time(),
"duration": event.save_time_ms / 1000,
"task_idx": self._current_task_idx,
"started_event_id": event.started_event_id,
}
)
self._unsubscribe_if_no_running_memory_save(wait_for_queued=True)
self._register_handler(MemorySaveCompletedEvent, on_memory_save_completed)
@crewai_event_bus.on(MemorySaveFailedEvent)
def on_memory_save_failed(source: Any, event: MemorySaveFailedEvent) -> None:
with self._lock:
if (
event.started_event_id in self._suppressed_memory_save_event_ids
or is_nested_save_to_memory_event(event)
):
if event.started_event_id is not None:
self._suppressed_memory_save_event_ids.discard(
event.started_event_id
)
else:
for idx, entry in reversed(list(enumerate(self._log_entries))):
has_started_event_match = (
event.started_event_id is not None
and (
entry.get("event_id") == event.started_event_id
or entry.get("started_event_id")
== event.started_event_id
)
)
has_running_event_without_id = (
event.started_event_id is None
and entry["status"] == "running"
)
if entry["tool_name"] == "memory_save" and (
has_running_event_without_id or has_started_event_match
):
entry["status"] = "error"
entry["error"] = event.error
entry["duration"] = time.time() - entry["start_time"]
entry["started_event_id"] = event.started_event_id
self._log_expanded.add(idx)
break
else:
self._log_entries.append(
{
"tool_name": "memory_save",
"status": "error",
"args": _truncate_log_text(
event.value, _LOG_ARGS_TEXT_LIMIT
),
"result": None,
"error": event.error,
"start_time": time.time(),
"duration": 0,
"task_idx": self._current_task_idx,
"started_event_id": event.started_event_id,
}
)
self._log_expanded.add(len(self._log_entries) - 1)
self._unsubscribe_if_no_running_memory_save(wait_for_queued=True)
self._register_handler(MemorySaveFailedEvent, on_memory_save_failed)
@crewai_event_bus.on(MemoryRetrievalStartedEvent)
def on_memory_retrieval_started(
source: Any, event: MemoryRetrievalStartedEvent

View File

@@ -1,5 +1,6 @@
from __future__ import annotations
from collections.abc import Callable
from contextlib import AbstractContextManager, nullcontext
from enum import Enum
import os
@@ -7,10 +8,9 @@ from pathlib import Path
import re
import subprocess
import sys
from typing import TYPE_CHECKING, Any
from typing import TYPE_CHECKING, Any, cast
import click
from crewai.project.json_loader import find_crew_json_file
from crewai_core.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
from packaging import version
@@ -38,6 +38,15 @@ class CrewType(Enum):
_INPUT_PLACEHOLDER_RE = re.compile(r"(?<!{){([A-Za-z_][A-Za-z0-9_\-]*)}(?!})")
_CREWAI_CLI_RUNNER_PACKAGE_DIR_ENV = "CREWAI_CLI_RUNNER_PACKAGE_DIR"
_CREWAI_RUNNER_SOURCE_DIR_ENV = "CREWAI_RUNNER_SOURCE_DIR"
_FULL_CREWAI_INSTALL_MESSAGE = """\
CrewAI CLI is installed without the `crewai` package required to run crews.
Install the full CrewAI prerelease package:
uv tool install --force --prerelease=allow 'crewai[tools]==1.14.8a1'
The quotes are required in zsh so `crewai[tools]` is not treated as a glob.
"""
_JSON_CREW_RUNNER_CODE = """
import importlib.util
import os
@@ -72,12 +81,39 @@ module_spec.loader.exec_module(module)
from crewai_core.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
module._run_json_crew(
trained_agents_file=os.getenv(CREWAI_TRAINED_AGENTS_FILE_ENV)
)
try:
module._run_json_crew(
trained_agents_file=os.getenv(CREWAI_TRAINED_AGENTS_FILE_ENV)
)
except module.click.ClickException as exc:
exc.show()
raise SystemExit(exc.exit_code)
""".strip()
def _import_find_crew_json_file() -> Callable[[], Path | None]:
from crewai.project.json_loader import find_crew_json_file as _find_crew_json_file
return cast("Callable[[], Path | None]", _find_crew_json_file)
def _is_missing_crewai_package(exc: ModuleNotFoundError) -> bool:
return bool(exc.name and exc.name.startswith("crewai"))
def _full_crewai_install_error() -> click.ClickException:
return click.ClickException(_FULL_CREWAI_INSTALL_MESSAGE)
def find_crew_json_file() -> Path | None:
try:
return _import_find_crew_json_file()()
except ModuleNotFoundError as exc:
if _is_missing_crewai_package(exc):
raise _full_crewai_install_error() from exc
raise
def _has_json_crew() -> bool:
"""Check if this is a JSON-defined crew project.

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.14.8a"
"crewai[tools]==1.14.8a1"
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.14.8a"
"crewai[tools]==1.14.8a1"
]
[project.scripts]

View File

@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
readme = "README.md"
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.14.8a"
"crewai[tools]==1.14.8a1"
]
[tool.crewai]

View File

@@ -5,7 +5,10 @@ from pathlib import Path
from unittest import mock
import pytest
import tomli
from click.testing import CliRunner
from packaging.requirements import Requirement
from packaging.version import Version
import crewai_cli.create_json_crew as json_crew
import crewai_cli.tui_picker as tui_picker
from crewai_cli.create_crew import create_crew, create_folder_structure
@@ -712,6 +715,14 @@ def test_json_create_provider_preselects_default_model(tmp_path, monkeypatch):
assert not (tmp_path / "json_crew" / "tests").exists()
assert not (tmp_path / "json_crew" / "config.jsonc").exists()
pyproject = tomli.loads((tmp_path / "json_crew" / "pyproject.toml").read_text())
dependency = pyproject["project"]["dependencies"][0]
assert dependency == "crewai[tools]==1.14.8a1"
assert Version("1.14.8a1") in Requirement(dependency).specifier
assert pyproject["tool"]["hatch"]["build"]["targets"]["wheel"][
"only-include"
] == ["agents", "crew.jsonc", "tools", "knowledge", "skills"]
crew_template = (tmp_path / "json_crew" / "crew.jsonc").read_text()
assert (
'"guardrail": "Every factual claim needs context support."'

View File

@@ -4,6 +4,11 @@ import time
import pytest
from crewai.events.event_bus import crewai_event_bus
from crewai.events.types.memory_events import (
MemorySaveCompletedEvent,
MemorySaveFailedEvent,
MemorySaveStartedEvent,
)
from crewai.events.types.observation_events import (
GoalAchievedEarlyEvent,
PlanRefinementEvent,
@@ -21,7 +26,12 @@ from crewai.events.types.tool_usage_events import (
)
from crewai_cli.command import AuthenticationRequiredError
from crewai_cli import run_crew
from crewai_cli.crew_run_tui import CrewRunApp
from crewai_cli.crew_run_tui import (
CrewRunApp,
_LOG_ARGS_TEXT_LIMIT,
_LOG_RESULT_TEXT_LIMIT,
_LOG_TRUNCATION_SUFFIX,
)
def _app_with_plan() -> CrewRunApp:
@@ -335,6 +345,396 @@ def test_internal_reasoning_function_call_is_hidden_from_activity_log() -> None:
assert app._current_task_steps == []
def test_memory_save_events_are_shown_in_activity_log() -> None:
app = _app_with_plan()
app._current_task_idx = 1
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value="2 memories (background)",
metadata={},
source_type="unified_memory",
)
)
_emit_event(
MemorySaveCompletedEvent(
value="2 memories saved",
metadata={},
save_time_ms=123,
source_type="unified_memory",
)
)
finally:
app._unsubscribe()
assert len(app._log_entries) == 1
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "success"
assert app._log_entries[0]["args"] == "2 memories (background)"
assert app._log_entries[0]["result"] == "2 memories saved"
assert app._log_entries[0]["error"] is None
assert app._log_entries[0]["duration"] == 0.123
assert app._log_entries[0]["task_idx"] == 1
def test_nested_memory_save_event_is_hidden_for_save_to_memory_tool() -> None:
app = _app_with_plan()
app._subscribe()
try:
tool_args = {"contents": ["Fact to remember."]}
_emit_event(
ToolUsageStartedEvent(
tool_name="save_to_memory",
tool_args=tool_args,
)
)
_emit_event(
MemorySaveStartedEvent(
value="Fact to remember.",
metadata={},
source_type="unified_memory",
)
)
_emit_event(
MemorySaveCompletedEvent(
value="Fact to remember.",
metadata={},
save_time_ms=123,
source_type="unified_memory",
)
)
now = datetime.now()
_emit_event(
ToolUsageFinishedEvent(
tool_name="save_to_memory",
tool_args=tool_args,
started_at=now,
finished_at=now,
output="Saved to memory.",
)
)
finally:
app._unsubscribe()
assert len(app._log_entries) == 1
assert app._log_entries[0]["tool_name"] == "save_to_memory"
assert app._log_entries[0]["status"] == "success"
assert app._log_entries[0]["result"] == "Saved to memory."
def test_memory_save_failure_is_shown_in_activity_log() -> None:
app = _app_with_plan()
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value="background save",
metadata={},
source_type="unified_memory",
)
)
_emit_event(
MemorySaveFailedEvent(
value="background save",
metadata={},
error="embedding connection failed",
source_type="unified_memory",
)
)
finally:
app._unsubscribe()
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "error"
assert app._log_entries[0]["error"] == "embedding connection failed"
assert app._log_expanded == {0}
def test_memory_save_completion_updates_timed_out_row() -> None:
app = _app_with_plan()
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value="9 memories (background)",
metadata={},
source_type="unified_memory",
)
)
app._log_entries[0]["status"] = "timeout"
app._log_entries[0]["error"] = "No result received before crew completed"
app._log_entries[0]["duration"] = 8.3
_emit_event(
MemorySaveCompletedEvent(
value="9 memories saved",
metadata={},
save_time_ms=8300,
source_type="unified_memory",
)
)
finally:
app._unsubscribe()
assert len(app._log_entries) == 1
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "success"
assert app._log_entries[0]["result"] == "9 memories saved"
assert app._log_entries[0]["error"] is None
assert app._log_entries[0]["duration"] == 8.3
def test_memory_save_completion_with_unmatched_id_does_not_update_running_row() -> None:
app = _app_with_plan()
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value="first background save",
metadata={},
source_type="unified_memory",
parent_event_id="manual-parent",
)
)
_emit_event(
MemorySaveStartedEvent(
value="second background save",
metadata={},
source_type="unified_memory",
parent_event_id="manual-parent",
)
)
_emit_event(
MemorySaveCompletedEvent(
value="orphan save completed",
metadata={},
save_time_ms=2800,
source_type="unified_memory",
parent_event_id="manual-parent",
started_event_id="missing-memory-save-start",
)
)
finally:
app._unsubscribe()
assert [entry["status"] for entry in app._log_entries] == [
"running",
"running",
"success",
]
assert app._log_entries[0]["args"] == "first background save"
assert app._log_entries[1]["args"] == "second background save"
assert app._log_entries[2]["result"] == "orphan save completed"
assert app._log_entries[2]["started_event_id"] == "missing-memory-save-start"
def test_memory_save_failure_with_unmatched_id_does_not_update_running_row() -> None:
app = _app_with_plan()
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value="first background save",
metadata={},
source_type="unified_memory",
parent_event_id="manual-parent",
)
)
_emit_event(
MemorySaveStartedEvent(
value="second background save",
metadata={},
source_type="unified_memory",
parent_event_id="manual-parent",
)
)
_emit_event(
MemorySaveFailedEvent(
value="orphan save failed",
metadata={},
error="embedding connection failed",
source_type="unified_memory",
parent_event_id="manual-parent",
started_event_id="missing-memory-save-start",
)
)
finally:
app._unsubscribe()
assert [entry["status"] for entry in app._log_entries] == [
"running",
"running",
"error",
]
assert app._log_entries[0]["args"] == "first background save"
assert app._log_entries[1]["args"] == "second background save"
assert app._log_entries[2]["args"] == "orphan save failed"
assert app._log_entries[2]["error"] == "embedding connection failed"
assert app._log_entries[2]["started_event_id"] == "missing-memory-save-start"
assert app._log_expanded == {2}
def test_memory_save_completion_without_id_does_not_update_stale_row() -> None:
app = _app_with_plan()
now = time.time()
app._log_entries = [
{
"tool_name": "memory_save",
"status": "running",
"args": "current background save",
"result": None,
"error": None,
"start_time": now,
"duration": None,
"task_idx": 1,
},
{
"tool_name": "memory_save",
"status": "success",
"args": "stale background save",
"result": "stale save completed",
"error": None,
"start_time": now - 10,
"duration": 1.0,
"task_idx": 1,
},
]
app._subscribe()
try:
_emit_event(
MemorySaveCompletedEvent(
value="current save completed",
metadata={},
save_time_ms=2800,
source_type="unified_memory",
parent_event_id="manual-parent",
)
)
finally:
app._unsubscribe()
assert [entry["status"] for entry in app._log_entries] == [
"success",
"success",
]
assert app._log_entries[0]["args"] == "current background save"
assert app._log_entries[0]["result"] == "current save completed"
assert app._log_entries[1]["args"] == "stale background save"
assert app._log_entries[1]["result"] == "stale save completed"
def test_memory_save_failure_without_id_does_not_update_stale_row() -> None:
app = _app_with_plan()
now = time.time()
app._log_entries = [
{
"tool_name": "memory_save",
"status": "running",
"args": "current background save",
"result": None,
"error": None,
"start_time": now,
"duration": None,
"task_idx": 1,
},
{
"tool_name": "memory_save",
"status": "success",
"args": "stale background save",
"result": "stale save completed",
"error": None,
"start_time": now - 10,
"duration": 1.0,
"task_idx": 1,
},
]
app._subscribe()
try:
_emit_event(
MemorySaveFailedEvent(
value="current save failed",
metadata={},
error="embedding connection failed",
source_type="unified_memory",
parent_event_id="manual-parent",
)
)
finally:
app._unsubscribe()
assert [entry["status"] for entry in app._log_entries] == ["error", "success"]
assert app._log_entries[0]["args"] == "current background save"
assert app._log_entries[0]["error"] == "embedding connection failed"
assert app._log_entries[1]["args"] == "stale background save"
assert app._log_entries[1]["result"] == "stale save completed"
assert app._log_entries[1]["error"] is None
assert app._log_expanded == {0}
def test_memory_save_payloads_are_truncated_in_activity_log() -> None:
app = _app_with_plan()
long_args = "a" * (_LOG_ARGS_TEXT_LIMIT + 10)
long_result = "r" * (_LOG_RESULT_TEXT_LIMIT + 10)
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value=long_args,
metadata={},
source_type="unified_memory",
)
)
_emit_event(
MemorySaveCompletedEvent(
value=long_result,
metadata={},
save_time_ms=8300,
source_type="unified_memory",
)
)
finally:
app._unsubscribe()
assert len(app._log_entries[0]["args"]) == _LOG_ARGS_TEXT_LIMIT
assert app._log_entries[0]["args"].endswith(_LOG_TRUNCATION_SUFFIX)
assert len(app._log_entries[0]["result"]) == _LOG_RESULT_TEXT_LIMIT
assert app._log_entries[0]["result"].endswith(_LOG_TRUNCATION_SUFFIX)
def test_starting_next_tool_does_not_timeout_memory_save() -> None:
app = _app_with_plan()
app._subscribe()
try:
_emit_event(
MemorySaveStartedEvent(
value="9 memories (background)",
metadata={},
source_type="unified_memory",
)
)
_emit_event(
ToolUsageStartedEvent(
tool_name="read_website_content",
tool_args={"url": "https://example.com"},
)
)
finally:
app._unsubscribe()
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "running"
assert app._log_entries[0]["error"] is None
assert app._log_entries[1]["tool_name"] == "read_website_content"
assert app._log_entries[1]["status"] == "running"
def test_tool_failure_does_not_override_successful_plan_step_completion() -> None:
app = _app_with_plan()
app._subscribe()
@@ -480,6 +880,187 @@ async def test_crew_done_does_not_mark_unfinished_tool_successful() -> None:
assert app._plan_step_status == {1: "failed", 2: "done", 3: "done"}
@pytest.mark.asyncio
async def test_crew_done_does_not_timeout_memory_save() -> None:
app = _app_with_plan()
async with app.run_test(size=(100, 40)) as pilot:
app._log_entries = [
{
"tool_name": "memory_save",
"status": "running",
"args": "9 memories (background)",
"result": None,
"error": None,
"start_time": time.time() - 8,
"duration": None,
"task_idx": 1,
},
{
"tool_name": "search",
"status": "running",
"args": '{"query": "CrewAI"}',
"result": None,
"error": None,
"start_time": time.time() - 2,
"duration": None,
"task_idx": 1,
},
]
app._on_crew_done("final output")
await pilot.pause()
assert app._log_entries[0]["status"] == "running"
assert app._log_entries[0]["error"] is None
assert app._log_entries[1]["status"] == "timeout"
assert app._log_entries[1]["error"] == "No result received before crew completed"
@pytest.mark.asyncio
async def test_crew_done_keeps_memory_save_subscription_until_completion(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(
"crewai_cli.crew_run_tui._MEMORY_SAVE_DRAIN_GRACE_SECONDS", 0.05
)
app = _app_with_plan()
auto_unsubscribed = False
async with app.run_test(size=(100, 40)) as pilot:
try:
assert app._event_handlers
started_event = MemorySaveStartedEvent(
value="9 memories (background)",
metadata={},
source_type="unified_memory",
)
_emit_event(started_event)
app._on_crew_done("final output")
await pilot.pause()
assert app._log_entries[0]["status"] == "running"
assert app._event_handlers
_emit_event(
MemorySaveCompletedEvent(
value="9 memories saved",
metadata={},
save_time_ms=8300,
source_type="unified_memory",
started_event_id=started_event.event_id,
)
)
await pilot.pause()
assert app._event_handlers
await pilot.pause(0.08)
auto_unsubscribed = not app._event_handlers
finally:
app._unsubscribe()
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "success"
assert app._log_entries[0]["result"] == "9 memories saved"
assert app._log_entries[0]["error"] is None
assert app._log_entries[0]["duration"] == 8.3
assert auto_unsubscribed is True
@pytest.mark.asyncio
async def test_crew_done_waits_for_queued_memory_save_events(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(
"crewai_cli.crew_run_tui._MEMORY_SAVE_DRAIN_GRACE_SECONDS", 0.05
)
app = _app_with_plan()
auto_unsubscribed = False
async with app.run_test(size=(100, 40)) as pilot:
try:
assert app._event_handlers
app._on_crew_done("final output")
assert app._event_handlers
started_event = MemorySaveStartedEvent(
value="9 memories (background)",
metadata={},
source_type="unified_memory",
parent_event_id="manual-parent",
)
_emit_event(started_event)
await pilot.pause()
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "running"
_emit_event(
MemorySaveCompletedEvent(
value="9 memories saved",
metadata={},
save_time_ms=8300,
source_type="unified_memory",
parent_event_id="manual-parent",
started_event_id=started_event.event_id,
)
)
await pilot.pause()
assert app._event_handlers
await pilot.pause(0.08)
auto_unsubscribed = not app._event_handlers
finally:
app._unsubscribe()
assert app._log_entries[0]["tool_name"] == "memory_save"
assert app._log_entries[0]["status"] == "success"
assert app._log_entries[0]["args"] == "9 memories (background)"
assert app._log_entries[0]["result"] == "9 memories saved"
assert app._log_entries[0]["error"] is None
assert app._log_entries[0]["duration"] == 8.3
assert auto_unsubscribed is True
@pytest.mark.asyncio
async def test_crew_failed_does_not_timeout_memory_save() -> None:
app = _app_with_plan()
async with app.run_test(size=(100, 40)) as pilot:
app._log_entries = [
{
"tool_name": "memory_save",
"status": "running",
"args": "9 memories (background)",
"result": None,
"error": None,
"start_time": time.time() - 8,
"duration": None,
"task_idx": 1,
},
{
"tool_name": "search",
"status": "running",
"args": '{"query": "CrewAI"}',
"result": None,
"error": None,
"start_time": time.time() - 2,
"duration": None,
"task_idx": 1,
},
]
app._on_crew_failed("boom")
await pilot.pause()
assert app._log_entries[0]["status"] == "running"
assert app._log_entries[0]["error"] is None
assert app._log_entries[1]["status"] == "error"
assert app._log_entries[1]["error"] == "No result received before crew failed"
def test_streamed_step_observation_updates_named_step_only() -> None:
app = _app_with_plan()

View File

@@ -5,12 +5,33 @@ from pathlib import Path
import subprocess
import sys
import click
import pytest
from crewai_core.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
import crewai_cli.run_crew as run_crew_module
def test_missing_crewai_package_shows_full_install_hint(monkeypatch):
def missing_crewai_package():
raise ModuleNotFoundError("No module named 'crewai'", name="crewai")
monkeypatch.setattr(
run_crew_module, "_import_find_crew_json_file", missing_crewai_package
)
with pytest.raises(click.ClickException) as exc_info:
run_crew_module.find_crew_json_file()
message = exc_info.value.message
assert "CrewAI CLI is installed without the `crewai` package" in message
assert (
"uv tool install --force --prerelease=allow 'crewai[tools]==1.14.8a1'"
in message
)
assert "quotes are required in zsh" in message
def test_run_crew_forwards_trained_agents_file_to_json_crews(monkeypatch):
"""crewai run -f must reach JSON crews, not only classic subprocess crews."""
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: True)

View File

@@ -1 +1 @@
__version__ = "1.14.8a"
__version__ = "1.14.8a1"

View File

@@ -9,7 +9,7 @@ authors = [
requires-python = ">=3.10, <3.14"
dependencies = [
"Pillow~=12.1.1",
"pypdf~=6.10.0",
"pypdf~=6.13.3",
"python-magic>=0.4.27",
"aiocache~=0.12.3",
"aiofiles~=24.1.0",
@@ -19,6 +19,8 @@ dependencies = [
[tool.uv]
exclude-newer = "3 days"
# pypdf 6.13.3 is a security fix newer than the global supply-chain cutoff.
exclude-newer-package = { pypdf = "2026-06-18T00:00:00Z" }
[build-system]
requires = ["hatchling"]

View File

@@ -152,4 +152,4 @@ __all__ = [
"wrap_file_source",
]
__version__ = "1.14.8a"
__version__ = "1.14.8a1"

View File

@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
dependencies = [
"pytube~=15.0.0",
"requests>=2.33.0,<3",
"crewai==1.14.8a",
"crewai==1.14.8a1",
"tiktoken>=0.8.0,<0.13",
"beautifulsoup4~=4.13.4",
"python-docx~=1.2.0",

View File

@@ -330,4 +330,4 @@ __all__ = [
"ZapierActionTools",
]
__version__ = "1.14.8a"
__version__ = "1.14.8a1"

View File

@@ -8,8 +8,8 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.8a",
"crewai-cli==1.14.8a",
"crewai-core==1.14.8a1",
"crewai-cli==1.14.8a1",
# Core Dependencies
"pydantic>=2.11.9,<2.13",
"openai>=2.30.0,<3",
@@ -55,7 +55,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
[project.optional-dependencies]
tools = [
"crewai-tools==1.14.8a",
"crewai-tools==1.14.8a1",
]
embeddings = [
"tiktoken>=0.8.0,<0.13"

View File

@@ -48,7 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
_suppress_pydantic_deprecation_warnings()
__version__ = "1.14.8a"
__version__ = "1.14.8a1"
_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
"Memory": ("crewai.memory.unified_memory", "Memory"),

View File

@@ -18,7 +18,6 @@ from pydantic import (
BaseModel,
ConfigDict,
Field,
RootModel,
field_serializer,
model_validator,
)
@@ -38,6 +37,7 @@ _STEP_NAME_PATTERN = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
__all__ = [
"FlowActionDefinition",
"FlowAtomicActionDefinition",
"FlowCodeActionDefinition",
"FlowConfigDefinition",
"FlowConversationalDefinition",
@@ -47,7 +47,7 @@ __all__ = [
"FlowDefinitionCondition",
"FlowDictStateDefinition",
"FlowEachActionDefinition",
"FlowEachInnerActionDefinition",
"FlowEachStepDefinition",
"FlowExpressionActionDefinition",
"FlowHumanFeedbackDefinition",
"FlowJsonSchemaStateDefinition",
@@ -466,38 +466,48 @@ class FlowScriptActionDefinition(BaseModel):
)
FlowInnerActionDefinition = (
FlowAtomicActionDefinition: TypeAlias = Annotated[
FlowCodeActionDefinition
| FlowToolActionDefinition
| FlowCrewActionDefinition
| FlowExpressionActionDefinition
| FlowScriptActionDefinition
)
| FlowScriptActionDefinition,
Field(discriminator="call"),
]
class FlowEachInnerActionDefinition(RootModel[dict[str, FlowInnerActionDefinition]]):
"""One named action inside an ``each`` composite action."""
class FlowEachStepDefinition(BaseModel):
"""One named step inside an ``each`` composite action."""
root: dict[str, FlowInnerActionDefinition] = Field(
description="Single-entry mapping from an inner action name to its action.",
examples=[{"clean": {"call": "script", "code": "return item.strip()"}}],
model_config = ConfigDict(
populate_by_name=True,
extra="forbid",
)
name: str = Field(
description="Step name used to reference this step's output.",
examples=["clean"],
)
if_: str | None = Field(
default=None,
alias="if",
description=(
"Optional CEL expression evaluated against state, outputs, and local "
"context. When present, the step runs only if the expression evaluates "
"to true."
),
examples=["item.kind == 'invoice'"],
)
action: FlowAtomicActionDefinition = Field(
description="Atomic action to run for this step.",
examples=[{"call": "script", "code": "return item.strip()"}],
)
@model_validator(mode="after")
def _validate_action_mapping(self) -> FlowEachInnerActionDefinition:
if len(self.root) != 1:
raise ValueError("each.do entries must be one-key mappings")
_validate_step_name(self.name, field="each.do action names")
def _validate_step_name(self) -> FlowEachStepDefinition:
_validate_step_name(self.name, field="each.do step names")
return self
@property
def name(self) -> str:
return next(iter(self.root))
@property
def action(self) -> FlowInnerActionDefinition:
return next(iter(self.root.values()))
class FlowEachActionDefinition(BaseModel):
"""A composite action that runs a sequential mini-pipeline for each item."""
@@ -519,35 +529,36 @@ class FlowEachActionDefinition(BaseModel):
description="CEL expression that must evaluate to the list to iterate.",
examples=["state.rows"],
)
do: list[FlowEachInnerActionDefinition] = Field(
do: list[FlowEachStepDefinition] = Field(
description=(
"Ordered inner actions to run for each item. Each entry must be a "
"single-key mapping naming that inner action."
"Ordered steps to run for each item. Each step has a name, optional "
"if expression, and atomic action."
),
examples=[
[
{"clean": {"call": "script", "code": "return item.strip()"}},
{"tag": {"call": "expression", "expr": "outputs.clean"}},
{
"name": "clean",
"action": {"call": "script", "code": "return item.strip()"},
},
{
"name": "tag",
"if": "outputs.clean != ''",
"action": {"call": "expression", "expr": "outputs.clean"},
},
]
],
)
@model_validator(mode="after")
def _validate_inner_action_list(self) -> FlowEachActionDefinition:
def _validate_step_list(self) -> FlowEachActionDefinition:
if not self.do:
raise ValueError("each.do must contain at least one action")
seen: set[str] = set()
for inner_action in self.do:
name = inner_action.name
if name in seen:
raise ValueError(f"each.do action names must be unique: {name!r}")
seen.add(name)
raise ValueError("each.do must contain at least one step")
_validate_step_list(self.do, field="each.do")
return self
FlowActionDefinition = (
FlowActionDefinition: TypeAlias = (
FlowCodeActionDefinition
| FlowToolActionDefinition
| FlowCrewActionDefinition
@@ -733,6 +744,15 @@ def _validate_step_name(name: str, *, field: str) -> None:
raise ValueError(f"{field} must match {_STEP_NAME_PATTERN.pattern}")
def _validate_step_list(steps: list[FlowEachStepDefinition], *, field: str) -> None:
seen: set[str] = set()
for step in steps:
name = step.name
if name in seen:
raise ValueError(f"{field} step names must be unique: {name!r}")
seen.add(name)
def log_flow_definition_issues(definition: FlowDefinition) -> None:
for method_name, method in definition.methods.items():
path = f"methods.{method_name}"

View File

@@ -4,7 +4,7 @@ from __future__ import annotations
import ast
import asyncio
from collections.abc import Callable
from collections.abc import Awaitable, Callable
import contextvars
import inspect
import os
@@ -15,7 +15,7 @@ from crewai.flow.flow_definition import (
FlowCodeActionDefinition,
FlowCrewActionDefinition,
FlowEachActionDefinition,
FlowEachInnerActionDefinition,
FlowEachStepDefinition,
FlowExpressionActionDefinition,
FlowScriptActionDefinition,
FlowToolActionDefinition,
@@ -32,6 +32,8 @@ if TYPE_CHECKING:
__all__ = ["FlowScriptExecutionDisabledError", "build_action"]
LocalContext = dict[str, Any]
NestedStepRunner = Callable[[LocalContext], Awaitable[Any]]
NestedStep = tuple[str, str | None, NestedStepRunner]
_LOCAL_CONTEXT_KWARG = "__flow_definition_local_context"
_ALLOW_SCRIPT_EXECUTION_ENV_VAR = "CREWAI_ALLOW_FLOW_SCRIPT_EXECUTION"
_TRUSTED_SCRIPT_EXECUTION_VALUES = frozenset({"1", "true", "yes"})
@@ -217,9 +219,9 @@ class EachAction:
def __init__(self, flow: Flow[Any], definition: FlowEachActionDefinition) -> None:
self.flow = flow
self.definition = definition
self.inner_actions = [
(inner_action.name, self._build_inner_action(inner_action))
for inner_action in definition.do
self.steps: list[NestedStep] = [
(step.name, step.if_, self._build_step_action(step))
for step in definition.do
]
async def run(self, *_args: Any, **_kwargs: Any) -> list[Any]:
@@ -231,22 +233,30 @@ class EachAction:
for item in items:
local_outputs: dict[str, Any] = {}
local_context = {"item": item, "outputs": local_outputs}
last_output: Any = None
for name, run_inner_action in self.inner_actions:
last_output = await run_inner_action(
{"item": item, "outputs": local_outputs}
)
for name, condition, run_step_action in self.steps:
if condition is not None and not self._condition_matches(
condition, local_context
):
continue
last_output = await run_step_action(local_context)
local_outputs[name] = last_output
results.append(last_output)
return results
def _build_inner_action(
self, inner_action: FlowEachInnerActionDefinition
) -> Callable[[LocalContext], Any]:
run_action = build_action(self.flow, inner_action.action)
def _condition_matches(self, condition: str, local_context: LocalContext) -> bool:
result = evaluate_expression(self.flow, condition, local_context=local_context)
if not isinstance(result, bool):
raise ValueError("if expression must evaluate to a boolean")
return result
async def run_inner_action(local_context: LocalContext) -> Any:
def _build_step_action(self, step: FlowEachStepDefinition) -> NestedStepRunner:
run_action = build_action(self.flow, step.action)
async def run_step_action(local_context: LocalContext) -> Any:
kwargs = {_LOCAL_CONTEXT_KWARG: local_context}
if inspect.iscoroutinefunction(run_action):
result = run_action(**kwargs)
@@ -261,7 +271,7 @@ class EachAction:
result = await result
return result
return run_inner_action
return run_step_action
_ACTION_TYPES: tuple[_ActionType, ...] = (

View File

@@ -3,7 +3,9 @@
from __future__ import annotations
from concurrent.futures import Future, ThreadPoolExecutor
from contextlib import suppress
import contextvars
import copy
from datetime import datetime
import threading
import time
@@ -53,6 +55,24 @@ def _default_embedder() -> OpenAIEmbeddingFunction:
return build_embedder(spec)
def _non_streaming_analysis_llm(llm: Any) -> Any:
"""Return an isolated non-streaming LLM for internal memory analysis."""
if not isinstance(llm, BaseLLM):
return llm
try:
analysis_llm = copy.copy(llm)
except Exception:
try:
analysis_llm = llm.model_copy(deep=False)
except Exception:
return llm
with suppress(Exception):
analysis_llm.stream = False
return analysis_llm
class Memory(BaseModel):
"""Unified memory: standalone, LLM-analyzed, with intelligent recall flow.
@@ -200,7 +220,9 @@ class Memory(BaseModel):
query_analysis_threshold=self.query_analysis_threshold,
)
self._llm_instance = None if isinstance(self.llm, str) else self.llm
self._llm_instance = (
None if isinstance(self.llm, str) else _non_streaming_analysis_llm(self.llm)
)
self._embedder_instance = (
self.embedder
if (self.embedder is not None and not isinstance(self.embedder, dict))

View File

@@ -19,6 +19,39 @@ from crewai.memory.types import (
)
def test_memory_analysis_llm_is_isolated_from_streaming_agent_llm(
tmp_path: Path,
) -> None:
"""Memory analysis should not share a mutable streaming LLM with the agent UI."""
from crewai.llms.base_llm import BaseLLM
from crewai.memory.unified_memory import Memory
from crewai.utilities.types import LLMMessage
class FakeStreamingLLM(BaseLLM):
def call(
self,
messages: str | list[LLMMessage],
tools: list[dict] | None = None,
callbacks: list | None = None,
available_functions: dict | None = None,
from_task: object | None = None,
from_agent: object | None = None,
response_model: type | None = None,
) -> str:
return ""
agent_llm = FakeStreamingLLM(model="fake-model", stream=True)
mem = Memory(
storage=str(tmp_path / "db"),
llm=agent_llm,
embedder=lambda texts: [[0.1] for _ in texts],
)
assert mem._llm is not agent_llm
assert mem._llm.stream is False
agent_llm.stream = True
assert mem._llm.stream is False
def test_memory_record_defaults() -> None:

View File

@@ -37,6 +37,7 @@ def test_flow_public_exports_are_explicit():
}
assert set(flow_definition.__all__) == {
"FlowActionDefinition",
"FlowAtomicActionDefinition",
"FlowCodeActionDefinition",
"FlowConfigDefinition",
"FlowConversationalDefinition",
@@ -46,7 +47,7 @@ def test_flow_public_exports_are_explicit():
"FlowDefinitionCondition",
"FlowDictStateDefinition",
"FlowEachActionDefinition",
"FlowEachInnerActionDefinition",
"FlowEachStepDefinition",
"FlowExpressionActionDefinition",
"FlowHumanFeedbackDefinition",
"FlowJsonSchemaStateDefinition",
@@ -107,7 +108,10 @@ def test_flow_definition_json_schema_carries_reference_descriptions():
each_properties = defs["FlowEachActionDefinition"]["properties"]
assert "list to iterate" in each_properties["in"]["description"]
assert "Ordered inner actions" in each_properties["do"]["description"]
assert "Ordered steps" in each_properties["do"]["description"]
step_properties = defs["FlowEachStepDefinition"]["properties"]
assert "runs only if" in step_properties["if"]["description"]
def test_flow_definition_json_schema_carries_field_examples_only():
@@ -122,6 +126,7 @@ def test_flow_definition_json_schema_carries_field_examples_only():
"FlowExpressionActionDefinition",
"FlowScriptActionDefinition",
"FlowEachActionDefinition",
"FlowEachStepDefinition",
"FlowMethodDefinition",
"FlowDictStateDefinition",
"FlowJsonSchemaStateDefinition",
@@ -154,7 +159,12 @@ def test_flow_definition_json_schema_carries_field_examples_only():
each_properties = defs["FlowEachActionDefinition"]["properties"]
assert each_properties["in"]["examples"] == ["state.rows"]
assert each_properties["do"]["examples"][0][0]["clean"]["call"] == "script"
assert each_properties["do"]["examples"][0][0]["name"] == "clean"
assert each_properties["do"]["examples"][0][0]["action"]["call"] == "script"
assert each_properties["do"]["examples"][0][1]["if"] == "outputs.clean != ''"
step_properties = defs["FlowEachStepDefinition"]["properties"]
assert step_properties["if"]["examples"] == ["item.kind == 'invoice'"]
method_properties = defs["FlowMethodDefinition"]["properties"]
assert method_properties["listen"]["examples"] == [
@@ -584,14 +594,16 @@ def test_each_action_round_trips_json_and_yaml():
"in": "state.rows",
"do": [
{
"normalize": {
"name": "normalize",
"action": {
"call": "tool",
"ref": "my_tools:NormalizeRowTool",
"with": {"row": "${ item }"},
}
},
{
"save": {
"name": "save",
"action": {
"call": "code",
"ref": "my_flow:save_row",
"with": {

View File

@@ -114,7 +114,7 @@ class EachActionFlow(Flow):
except RuntimeError:
pass
else:
raise RuntimeError("inner action ran on the event loop")
raise RuntimeError("each step ran on the event loop")
from crewai.flow.flow_context import current_flow_method_name
@@ -1081,7 +1081,8 @@ methods:
call: each
in: state.rows
do:
- normalize:
- name: normalize
action:
call: code
ref: {__name__}:EachActionFlow.normalize_row
with:
@@ -1097,7 +1098,7 @@ methods:
]
def test_each_action_runs_sync_inner_actions_off_event_loop_with_context():
def test_each_action_runs_sync_steps_off_event_loop_with_context():
yaml_str = f"""
schema: crewai.flow/v1
name: EachFlow
@@ -1107,7 +1108,8 @@ methods:
call: each
in: state.rows
do:
- threaded:
- name: threaded
action:
call: code
ref: {__name__}:EachActionFlow.require_threaded_context
with:
@@ -1123,7 +1125,7 @@ methods:
assert flow.inner_thread_id != caller_thread_id
def test_each_action_runs_async_tool_results_from_sync_inner_actions():
def test_each_action_runs_async_tool_results_from_sync_steps():
yaml_str = f"""
schema: crewai.flow/v1
name: EachFlow
@@ -1133,7 +1135,8 @@ methods:
call: each
in: state.rows
do:
- async_tool:
- name: async_tool
action:
call: tool
ref: {__name__}:AsyncResultTool
with:
@@ -1222,7 +1225,7 @@ methods:
assert flow.state["input_matches_output"] is True
def test_script_each_action_reads_item_and_inner_outputs(
def test_script_each_action_reads_item_and_step_outputs(
monkeypatch: pytest.MonkeyPatch,
):
monkeypatch.setenv("CREWAI_ALLOW_FLOW_SCRIPT_EXECUTION", "1")
@@ -1241,11 +1244,13 @@ methods:
call: each
in: state.rows
do:
- clean:
- name: clean
action:
call: script
code: |
return item.strip()
- tag:
- name: tag
action:
call: script
code: |
return f"{outputs['seed']}:{outputs['clean']}"
@@ -1257,7 +1262,7 @@ methods:
assert flow.kickoff(inputs={"rows": [" a ", " b "]}) == ["global:a", "global:b"]
def test_each_action_uses_iteration_outputs_between_nested_actions():
def test_each_action_uses_iteration_outputs_between_steps():
yaml_str = f"""
schema: crewai.flow/v1
name: EachFlow
@@ -1267,13 +1272,15 @@ methods:
call: each
in: state.rows
do:
- normalize:
- name: normalize
action:
call: code
ref: {__name__}:EachActionFlow.normalize_row
with:
row: "${{item}}"
prefix: saved
- save:
- name: save
action:
call: code
ref: {__name__}:EachActionFlow.save_row
with:
@@ -1290,7 +1297,7 @@ methods:
]
def test_each_action_resets_inner_outputs_between_iterations():
def test_each_action_resets_step_outputs_between_iterations():
yaml_str = """
schema: crewai.flow/v1
name: EachFlow
@@ -1300,10 +1307,12 @@ methods:
call: each
in: state.rows
do:
- leak_check:
- name: leak_check
action:
call: expression
expr: "has(outputs.previous) ? outputs.previous : 'empty'"
- previous:
- name: previous
action:
call: expression
expr: item
start: true
@@ -1317,7 +1326,7 @@ methods:
]
def test_each_action_preserves_flow_outputs_and_prefers_inner_outputs():
def test_each_action_preserves_flow_outputs_and_prefers_step_outputs():
yaml_str = """
schema: crewai.flow/v1
name: EachFlow
@@ -1332,13 +1341,16 @@ methods:
call: each
in: state.rows
do:
- before_shadow:
- name: before_shadow
action:
call: expression
expr: "outputs.seed + ':' + item"
- seed:
- name: seed
action:
call: expression
expr: "'local:' + item"
- after_shadow:
- name: after_shadow
action:
call: expression
expr: "outputs.seed"
listen: seed
@@ -1356,6 +1368,103 @@ methods:
]
def test_each_action_runs_simple_if_clauses():
yaml_str = """
schema: crewai.flow/v1
name: EachIfFlow
methods:
process_rows:
do:
call: each
in: state.rows
do:
- name: kind
action:
call: expression
expr: item.kind
- name: kept
if: "outputs.kind == 'keep'"
action:
call: expression
expr: "'kept:' + item.value"
- name: skipped
if: "outputs.kind != 'keep'"
action:
call: expression
expr: "'skipped:' + item.value"
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
assert flow.kickoff(
inputs={
"rows": [
{"kind": "keep", "value": "a"},
{"kind": "drop", "value": "b"},
]
}
) == ["kept:a", "skipped:b"]
def test_each_action_skipped_if_keeps_previous_output():
yaml_str = """
schema: crewai.flow/v1
name: EachIfFlow
methods:
process_rows:
do:
call: each
in: state.rows
do:
- name: original
action:
call: expression
expr: item.value
- name: maybe_included
if: item.include
action:
call: expression
expr: "'included:' + item.value"
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
assert flow.kickoff(
inputs={
"rows": [
{"include": True, "value": "a"},
{"include": False, "value": "b"},
]
}
) == ["included:a", "b"]
def test_each_action_if_condition_must_be_boolean():
yaml_str = """
schema: crewai.flow/v1
name: EachIfFlow
methods:
process_rows:
do:
call: each
in: state.rows
do:
- name: value
if: item.value
action:
call: expression
expr: item.value
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
with pytest.raises(ValueError, match="if expression must evaluate to a boolean"):
flow.kickoff(inputs={"rows": [{"value": "truthy"}]})
def test_each_action_empty_list_returns_empty_and_listener_runs_once():
yaml_str = f"""
schema: crewai.flow/v1
@@ -1366,7 +1475,8 @@ methods:
call: each
in: state.rows
do:
- normalize:
- name: normalize
action:
call: code
ref: {__name__}:EachActionFlow.normalize_row
with:
@@ -1415,7 +1525,12 @@ def test_each_action_rejects_non_list_inputs(expr, inputs):
"do": {
"call": "each",
"in": expr,
"do": [{"value": {"call": "expression", "expr": "item"}}],
"do": [
{
"name": "value",
"action": {"call": "expression", "expr": "item"},
}
],
},
}
},
@@ -1431,15 +1546,25 @@ def test_each_action_rejects_non_list_inputs(expr, inputs):
"action_do",
[
[],
[{"first": {"call": "expression", "expr": "item"}, "second": {"call": "expression", "expr": "item"}}],
[{"1bad": {"call": "expression", "expr": "item"}}],
[{"value": {"call": "expression", "expr": "item"}}],
[{"name": "1bad", "action": {"call": "expression", "expr": "item"}}],
[{"name": "missing_action"}],
[{"action": {"call": "expression", "expr": "item"}}],
[
{"same": {"call": "expression", "expr": "item"}},
{"same": {"call": "expression", "expr": "item"}},
{
"name": "value",
"if": "true",
"then": [],
"action": {"call": "expression", "expr": "item"},
}
],
[
{"name": "same", "action": {"call": "expression", "expr": "item"}},
{"name": "same", "action": {"call": "expression", "expr": "item"}},
],
],
)
def test_each_action_validates_inner_action_shape(action_do):
def test_each_action_validates_step_shape(action_do):
with pytest.raises(ValidationError):
FlowDefinition.from_dict(
{
@@ -1459,6 +1584,26 @@ def test_each_action_validates_inner_action_shape(action_do):
)
def test_if_clauses_are_rejected_at_method_level():
with pytest.raises(ValidationError):
FlowDefinition.from_dict(
{
"schema": "crewai.flow/v1",
"name": "TopLevelIfFlow",
"methods": {
"process": {
"start": True,
"do": {
"call": "expression",
"if": "true",
"expr": "'ok'",
},
}
},
}
)
def test_each_action_rejects_nested_each_actions():
with pytest.raises(ValidationError):
FlowDefinition.from_dict(
@@ -1473,12 +1618,14 @@ def test_each_action_rejects_nested_each_actions():
"in": "state.rows",
"do": [
{
"nested": {
"name": "nested",
"action": {
"call": "each",
"in": "state.children",
"do": [
{
"child": {
"name": "child",
"action": {
"call": "expression",
"expr": "item",
}
@@ -1504,7 +1651,8 @@ methods:
call: each
in: state.rows
do:
- validate:
- name: validate
action:
call: code
ref: {__name__}:EachActionFlow.fail_on_bad_row
with:

View File

@@ -1,3 +1,3 @@
"""CrewAI development tools."""
__version__ = "1.14.8a"
__version__ = "1.14.8a1"

View File

@@ -171,6 +171,8 @@ info = "Commits must follow Conventional Commits 1.0.0."
[tool.uv]
exclude-newer = "3 days"
# pypdf 6.13.3 is a security fix newer than the global supply-chain cutoff.
exclude-newer-package = { pypdf = "2026-06-18T00:00:00Z" }
# composio-core pins rich<14 but textual requires rich>=14.
# onnxruntime 1.24+ dropped Python 3.10 wheels; cap it so qdrant[fastembed] resolves on 3.10.
@@ -180,7 +182,8 @@ exclude-newer = "3 days"
# langchain-text-splitters <1.1.2 has GHSA-fv5p-p927-qmxr (SSRF bypass in split_text_from_url).
# transformers 4.57.6 has CVE-2026-1839; force 5.4+ (docling 2.84 allows huggingface-hub>=1).
# cryptography 46.0.6 has CVE-2026-39892; force 46.0.7+.
# pypdf <6.10.2 has GHSA-4pxv-j86v-mhcw, GHSA-7gw9-cf7v-778f, GHSA-x284-j5p8-9c5p; force 6.10.2+.
# pypdf <6.10.2 has GHSA-4pxv-j86v-mhcw, GHSA-7gw9-cf7v-778f, GHSA-x284-j5p8-9c5p.
# pypdf <6.13.3 has GHSA-jm82-fx9c-mx94; force 6.13.3+.
# uv <0.11.15 has GHSA-4gg8-gxpx-9rph (and earlier GHSA-pjjw-68hj-v9mw); force 0.11.15+.
# python-multipart <0.0.27 has GHSA-pp6c-gr5w-3c5g (DoS via unbounded multipart headers).
# gitpython <3.1.50 has GHSA-mv93-w799-cj2w (config_writer newline injection bypassing the 3.1.49 patch -> RCE via core.hooksPath).
@@ -205,7 +208,7 @@ override-dependencies = [
"urllib3>=2.7.0",
"transformers>=5.4.0; python_version >= '3.10'",
"cryptography>=46.0.7",
"pypdf>=6.10.2,<7",
"pypdf>=6.13.3,<7",
"uv>=0.11.15,<1",
"python-multipart>=0.0.27,<1",
"gitpython>=3.1.50,<4",

13
uv.lock generated
View File

@@ -16,6 +16,9 @@ resolution-markers = [
exclude-newer = "0001-01-01T00:00:00Z" # This has no effect and is included for backwards compatibility when using relative exclude-newer values.
exclude-newer-span = "P3D"
[options.exclude-newer-package]
pypdf = "2026-06-18T00:00:00Z"
[manifest]
members = [
"crewai",
@@ -40,7 +43,7 @@ overrides = [
{ name = "pillow", specifier = ">=12.1.1" },
{ name = "pip", specifier = ">=26.1.2" },
{ name = "pydantic-settings", specifier = ">=2.14.0" },
{ name = "pypdf", specifier = ">=6.10.2,<7" },
{ name = "pypdf", specifier = ">=6.13.3,<7" },
{ name = "python-multipart", specifier = ">=0.0.27,<1" },
{ name = "rich", specifier = ">=13.7.1" },
{ name = "starlette", specifier = ">=1.3.1" },
@@ -1584,7 +1587,7 @@ requires-dist = [
{ name = "aiofiles", specifier = "~=24.1.0" },
{ name = "av", specifier = "~=13.0.0" },
{ name = "pillow", specifier = "~=12.1.1" },
{ name = "pypdf", specifier = "~=6.10.0" },
{ name = "pypdf", specifier = "~=6.13.3" },
{ name = "python-magic", specifier = ">=0.4.27" },
{ name = "tinytag", specifier = "~=2.2.1" },
]
@@ -7188,14 +7191,14 @@ wheels = [
[[package]]
name = "pypdf"
version = "6.13.1"
version = "6.13.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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