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10 Commits

Author SHA1 Message Date
Vinicius Brasil
f2a074e35b docs: snapshot and changelog for v1.14.8a3 (#6310) 2026-06-23 14:11:31 -07:00
Vinicius Brasil
658b8ee8b9 feat: bump versions to 1.14.8a3 (#6309) 2026-06-23 14:05:23 -07:00
Vinicius Brasil
3452e5c187 Add unified declarative flow loading (#6308)
Add a single declaration loader shared by API and CLI callers.

- Add FlowDefinition.from_declaration for FlowDefinition instances, dictionaries, YAML/JSON strings, and file paths
- Add Flow.from_declaration to build runnable flows directly from the same inputs
- Route declarative flow CLI loading through Flow.from_declaration so path handling and validation stay centralized

```
# Load just the serializable definition when you do not need to run it yet.
definition = FlowDefinition.from_declaration(path="flows/research.crewai")
definition = FlowDefinition.from_declaration(contents=flow_yaml)
definition = FlowDefinition.from_declaration(contents=flow_dict)

# Build a runnable flow directly from the same declaration inputs.
flow = Flow.from_declaration(path="flows/research.crewai")
flow = Flow.from_declaration(contents=flow_yaml)
flow = Flow.from_declaration(contents=flow_dict)
flow = Flow.from_declaration(contents=definition)

# Run it like any other flow.
result = flow.kickoff(inputs={"topic": "AI agents"})

# The CLI now goes through the same path-based loader.
# crewai run --definition flows/research.crewai
```
2026-06-23 12:02:18 -07:00
Lucas Gomide
793539173d fix: pin opentelemetry to ~=1.42.0 (#6292)
The previous `~=1.34.0` pin kept us on the unmaintained 1.34 line —
last patched as `1.34.1` in June 2025, eight minor releases behind
upstream — and caused `_create_exp_backoff_generator` `ImportError`
crashes in factory deployments where the OpenTelemetry Operator's
injected init container shadows
`opentelemetry.exporter.otlp.proto.common._internal` with >=1.35 while
our `opentelemetry-exporter-otlp-proto-grpc==1.34.1` still imports the
removed private symbol. Pinning to `~=1.42.0` tracks the current
upstream stable line; the resolver now lands on 1.42.1 and our public
OTel trace API usage is unaffected.
2026-06-23 14:51:22 -04:00
Vinicius Brasil
2eb4e3a236 Improve crewai run startup UX (#6297)
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Remove redundant startup logs from `crewai run` and make the legacy flow
command warning actionable.

- Stop printing `Running the Flow` and `Running the Crew` before project
  execution.
- Stop printing the redundant `Flow started with ID: ...` line while
  preserving flow lifecycle event emission.
- Replace Click's generic `kickoff` deprecation warning with a clearer
  message that tells users to use `crewai run`.
2026-06-22 22:31:39 -07:00
Vinicius Brasil
221dfdb08e Consolidate crewai run and crewai flow kickoff (#6296)
Make `crewai run` the single execution path for crews and flows, with
`crewai flow kickoff` kept as a deprecated compatibility alias.
2026-06-22 20:44:08 -07:00
Vinicius Brasil
720a4c7216 Keep flow method progress visible for nested crews (#6295)
Inline crews default to `verbose=False`. They set the shared formatter's
`verbose` value in `lib/crewai/src/crewai/crew.py`, which could hide
flow method status from `lib/crewai/src/crewai/events/utils/
console_formatter.py`.

Remove that `verbose` check for flow method status. Flow output is still
controlled by `suppress_flow_events`.

Normal quiet crews are unchanged because crew, task, and agent logs
still use their own `verbose` checks.
2026-06-22 20:37:16 -07:00
Vinicius Brasil
4b2ce00a09 Add declarative Flow CLI support (#6294)
* Add declarative Flow CLI support

Currently, declarative flows can be loaded by the runtime, but the CLI
still treats them as an experimental definition file instead of a
first-class Flow project shape.

With this PR, `crewai create flow --declarative` scaffolds a YAML-backed
Flow project, and `crewai run`, `crewai flow kickoff`, and `crewai flow
plot` can run against the configured definition.

This also lets crew actions reference reusable crew definition files or
folders and override their inputs from the Flow definition, so
declarative flows can compose existing declarative crews without
inlining everything.

* Address code review comments
2026-06-22 19:58:17 -07:00
Vinicius Brasil
0391febc6c Allow @router() as start method of a flow (#6288)
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This commit fixes a bug where a router method could not be the start
method of a flow.

This is useful when you want to route against the initial state, or even
stack two routers.
2026-06-22 14:04:45 -07:00
João Moura
4cbfbdb232 Keep JSON crew projects and deploy archives Python-free (#6228)
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* fix: scaffold deployable json crews

* fix: keep json crew scaffolds python-free

* fix: keep json deploy archives python-free

* fix: tighten json crew deploy validation

* fix: address json crew pr checks

* fix: clear langsmith audit advisory
2026-06-22 13:22:46 -03:00
65 changed files with 2072 additions and 1008 deletions

View File

@@ -134,17 +134,21 @@ def bedrock_host_matcher(r1: Request, r2: Request) -> bool: # type: ignore[no-a
)
def _patched_make_vcr_request(httpx_request: Any, **kwargs: Any) -> Any:
def _patched_make_vcr_request(
httpx_request: Any, real_request_body: Any = None, **kwargs: Any
) -> Any:
"""Patched version of VCR's _make_vcr_request that handles binary content.
The original implementation fails on binary request bodies (like file uploads)
because it assumes all content can be decoded as UTF-8.
"""
raw_body = httpx_request.read()
try:
body = raw_body.decode("utf-8")
except UnicodeDecodeError:
body = base64.b64encode(raw_body).decode("ascii")
raw_body = real_request_body if real_request_body is not None else httpx_request.read()
body: Any = raw_body
if isinstance(raw_body, bytes):
try:
body = raw_body.decode("utf-8")
except UnicodeDecodeError:
body = base64.b64encode(raw_body).decode("ascii")
uri = str(httpx_request.url)
headers = dict(httpx_request.headers)
return Request(httpx_request.method, uri, body, headers)

View File

@@ -4,6 +4,34 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
icon: "clock"
mode: "wide"
---
<Update label="23 يونيو 2026">
## v1.14.8a3
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## ما الذي تغير
### الميزات
- إضافة تحميل تدفق موحد إعلاني
- تحسين تجربة بدء تشغيل crewai run
- دمج `crewai run` و `crewai flow kickoff`
- الحفاظ على تقدم طريقة التدفق مرئيًا للفرق المتداخلة
- إضافة دعم واجهة سطر الأوامر الإعلانية للتدفق
- السماح باستخدام `@router()` كطريقة بدء لتدفق
- إضافة مخططات مخرجات مكتوبة لأدوات CrewAI
### إصلاحات الأخطاء
- تثبيت opentelemetry على ~=1.42.0
### الوثائق
- إضافة صفحة استوديو "بطاقة واحدة لكل خطوة"
## المساهمون
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="18 يونيو 2026">
## v1.14.8a2
@@ -64,7 +92,7 @@ mode: "wide"
- تنفيذ أدوات تشغيل تعريف التدفق بدون كود Python
- دفع التغذية الراجعة البشرية من تعريف التدفق
- توصيل التكوين والاستمرارية من FlowDefinition إلى وقت التشغيل
- إضافة `crewai run --definition` التجريبية للتدفقات
- إضافة `crewai run --definition` للتدفقات التصريحية
- دعم تراجع نشر ZIP وتشغيل مشاريع الطاقم بتنسيق JSON
- تقديم الطواقم بتنسيق JSON أولاً

View File

@@ -959,7 +959,7 @@ source .venv/bin/activate
بعد تفعيل البيئة الافتراضية، يمكنك تشغيل التدفق بتنفيذ أحد الأوامر التالية:
```bash
crewai flow kickoff
crewai run
```
أو
@@ -1160,10 +1160,4 @@ crewai run
يكتشف هذا الأمر تلقائيًا ما إذا كان مشروعك تدفقًا (بناءً على إعداد `type = "flow"` في pyproject.toml الخاص بك) ويشغّله وفقًا لذلك. هذه هي الطريقة الموصى بها لتشغيل التدفقات من سطر الأوامر.
للتوافق مع الإصدارات السابقة، يمكنك أيضًا استخدام:
```shell
crewai flow kickoff
```
ومع ذلك، فإن أمر `crewai run` هو الطريقة المفضلة الآن لأنه يعمل لكل من فرق Crew والتدفقات.
أمر `crewai flow kickoff` القديم deprecated. استخدم `crewai run` لكل من فرق Crew والتدفقات.

View File

@@ -172,7 +172,7 @@ crewai install
## الخطوة 8: تشغيل Flow
```bash
crewai flow kickoff
crewai run
```
عند تشغيل هذا الأمر، ستشاهد Flow يعمل:

View File

@@ -4,6 +4,34 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="Jun 23, 2026">
## v1.14.8a3
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## What's Changed
### Features
- Add unified declarative flow loading
- Improve crewai run startup UX
- Consolidate `crewai run` and `crewai flow kickoff`
- Keep flow method progress visible for nested crews
- Add declarative Flow CLI support
- Allow `@router()` as start method of a flow
- Add typed output schemas for CrewAI tools
### Bug Fixes
- Pin opentelemetry to ~=1.42.0
### Documentation
- Add "One Card per Step" Studio page
## Contributors
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="Jun 18, 2026">
## v1.14.8a2
@@ -64,7 +92,7 @@ mode: "wide"
- Implement Flow definition run tools without Python code
- Drive human feedback from the flow definition
- Wire config and persistence from FlowDefinition into the runtime
- Add experimental `crewai run --definition` for flows
- Add `crewai run --definition` for declarative flows
- Support ZIP deployment fallback and JSON crew project env runs
- Introduce JSON first crews

View File

@@ -956,13 +956,13 @@ Once all of the dependencies are installed, you need to activate the virtual env
source .venv/bin/activate
```
After activating the virtual environment, you can run the flow by executing one of the following commands:
After activating the virtual environment, you can run the flow with the CrewAI CLI:
```bash
crewai flow kickoff
crewai run
```
or
You can also run the project script directly:
```bash
uv run kickoff
@@ -1160,10 +1160,4 @@ crewai run
This command automatically detects if your project is a flow (based on the `type = "flow"` setting in your pyproject.toml) and runs it accordingly. This is the recommended way to run flows from the command line.
For backward compatibility, you can also use:
```shell
crewai flow kickoff
```
However, the `crewai run` command is now the preferred method as it works for both crews and flows.
The legacy `crewai flow kickoff` command is deprecated. Use `crewai run` for both crews and flows.

View File

@@ -395,7 +395,7 @@ crewai install
Now it's time to see your flow in action! Run it using the CrewAI CLI:
```bash
crewai flow kickoff
crewai run
```
When you run this command, you'll see your flow spring to life:

View File

@@ -4,6 +4,34 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
icon: "clock"
mode: "wide"
---
<Update label="2026년 6월 23일">
## v1.14.8a3
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## 변경 사항
### 기능
- 통합 선언적 흐름 로딩 추가
- crewai run 시작 UX 개선
- `crewai run`과 `crewai flow kickoff` 통합
- 중첩된 크루의 흐름 메서드 진행 상황 표시 유지
- 선언적 Flow CLI 지원 추가
- 흐름의 시작 메서드로 `@router()` 허용
- CrewAI 도구에 대한 타입이 지정된 출력 스키마 추가
### 버그 수정
- opentelemetry를 ~=1.42.0으로 고정
### 문서
- "단계당 한 카드" 스튜디오 페이지 추가
## 기여자
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="2026년 6월 18일">
## v1.14.8a2
@@ -64,7 +92,7 @@ mode: "wide"
- Python 코드 없이 Flow 정의 실행 도구 구현
- Flow 정의에서 인간 피드백 유도
- FlowDefinition의 구성 및 지속성을 런타임에 연결
- 흐름을 위한 실험적 `crewai run --definition` 추가
- 선언적 흐름을 위한 `crewai run --definition` 추가
- ZIP 배포 대체 및 JSON 크루 프로젝트 환경 실행 지원
- JSON 우선 크루 도입

View File

@@ -951,7 +951,7 @@ source .venv/bin/activate
가상 환경을 활성화한 후, 아래 명령어 중 하나를 실행하여 플로우를 실행할 수 있습니다:
```bash
crewai flow kickoff
crewai run
```
또는
@@ -1054,10 +1054,4 @@ crewai run
이 명령어는 프로젝트가 pyproject.toml의 `type = "flow"` 설정을 기반으로 flow인지 자동으로 감지하여 해당 방식으로 실행합니다. 명령줄에서 flow를 실행하는 권장 방법입니다.
하위 호환성을 위해 다음 명령어도 사용할 수 있습니다:
```shell
crewai flow kickoff
```
하지만 `crewai run` 명령어가 이제 crew와 flow 모두에 작동하므로 더욱 선호되는 방법입니다.
레거시 `crewai flow kickoff` 명령어는 deprecated되었습니다. crew와 flow 모두 `crewai run`을 사용하세요.

View File

@@ -393,7 +393,7 @@ crewai install
이제 여러분의 flow가 실제로 작동하는 모습을 볼 차례입니다! CrewAI CLI를 사용하여 flow를 실행하세요:
```bash
crewai flow kickoff
crewai run
```
이 명령어를 실행하면 flow가 다음과 같이 작동하는 것을 확인할 수 있습니다:

View File

@@ -4,6 +4,34 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
icon: "clock"
mode: "wide"
---
<Update label="23 jun 2026">
## v1.14.8a3
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.8a3)
## O que Mudou
### Recursos
- Adicionar carregamento de fluxo declarativo unificado
- Melhorar a experiência de inicialização do crewai run
- Consolidar `crewai run` e `crewai flow kickoff`
- Manter o progresso do método de fluxo visível para equipes aninhadas
- Adicionar suporte a Flow CLI declarativo
- Permitir `@router()` como método de início de um fluxo
- Adicionar esquemas de saída tipados para ferramentas CrewAI
### Correções de Bugs
- Fixar opentelemetry em ~=1.42.0
### Documentação
- Adicionar página "Uma Cartão por Etapa" no Studio
## Contribuidores
@jessemiller, @joaomdmoura, @lucasgomide, @vinibrsl
</Update>
<Update label="18 jun 2026">
## v1.14.8a2
@@ -64,7 +92,7 @@ mode: "wide"
- Implementar ferramentas de execução de definição de fluxo sem código Python
- Conduzir feedback humano a partir da definição de fluxo
- Conectar configuração e persistência do FlowDefinition ao tempo de execução
- Adicionar `crewai run --definition` experimental para fluxos
- Adicionar `crewai run --definition` para fluxos declarativos
- Suportar fallback de implantação ZIP e execuções de projeto de equipe em JSON
- Introduzir equipes em JSON primeiro

View File

@@ -948,7 +948,7 @@ source .venv/bin/activate
Com o ambiente ativado, execute o flow usando um dos comandos:
```bash
crewai flow kickoff
crewai run
```
ou
@@ -1052,10 +1052,4 @@ crewai run
O comando detecta automaticamente se seu projeto é um flow (com base na configuração `type = "flow"` no pyproject.toml) e executa conforme o esperado. Esse é o método recomendado para executar flows pelo terminal.
Por compatibilidade retroativa, também é possível usar:
```shell
crewai flow kickoff
```
No entanto, o comando `crewai run` é agora o preferido, pois funciona tanto para crews quanto para flows.
O comando legado `crewai flow kickoff` está deprecated. Use `crewai run` para crews e flows.

View File

@@ -393,7 +393,7 @@ crewai install
Agora é hora de ver seu flow em ação! Execute-o usando a CLI do CrewAI:
```bash
crewai flow kickoff
crewai run
```
Quando você rodar esse comando, verá seu flow ganhando vida:

View File

@@ -8,7 +8,7 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.8a2",
"crewai-core==1.14.8a3",
"click>=8.1.7,<9",
"pydantic>=2.11.9,<2.13",
"pydantic-settings~=2.10.1",

View File

@@ -1 +1 @@
__version__ = "1.14.8a2"
__version__ = "1.14.8a3"

View File

@@ -40,14 +40,6 @@ def replay_task_command(*args: Any, **kwargs: Any) -> Any:
return _replay_task_command(*args, **kwargs)
def run_flow_definition(*args: Any, **kwargs: Any) -> Any:
from crewai_cli.run_flow_definition import (
run_flow_definition as _run_flow_definition,
)
return _run_flow_definition(*args, **kwargs)
def run_crew(*args: Any, **kwargs: Any) -> Any:
from crewai_cli.run_crew import run_crew as _run_crew
@@ -155,12 +147,18 @@ def uv(uv_args: tuple[str, ...]) -> None:
is_flag=True,
help="Use classic Python/YAML project structure instead of JSON",
)
@click.option(
"--declarative",
is_flag=True,
help="Create a declarative Flow project instead of a Python Flow project",
)
def create(
type: str | None,
name: str | None,
provider: str | None,
skip_provider: bool = False,
classic: bool = False,
declarative: bool = False,
) -> None:
"""Create a new crew, or flow."""
dmn_mode = is_dmn_mode_enabled()
@@ -194,6 +192,8 @@ def create(
if dmn_mode:
skip_provider = True
if type == "crew":
if declarative:
raise click.UsageError("--declarative can only be used with flow projects")
if classic:
from crewai_cli.create_crew import create_crew
@@ -205,7 +205,7 @@ def create(
elif type == "flow":
from crewai_cli.create_flow import create_flow
create_flow(name)
create_flow(name, declarative=declarative)
else:
click.secho("Error: Invalid type. Must be 'crew' or 'flow'.", fg="red")
@@ -468,7 +468,7 @@ def memory(
type=str,
default=None,
help=(
"Path to a trained-agents pickle (produced by `crewai train -f`). "
"Crew-only: path to a trained-agents pickle (produced by `crewai train -f`). "
"When set, agents load suggestions from this file instead of the "
"default trained_agents_data.pkl. Equivalent to setting "
"CREWAI_TRAINED_AGENTS_FILE."
@@ -512,16 +512,13 @@ def install(context: click.Context) -> None:
"--definition",
type=str,
default=None,
help=(
"Experimental: path to a Flow Definition YAML/JSON file, "
"or an inline YAML/JSON string."
),
help="Flow-only: path to a declarative flow definition.",
)
@click.option(
"--inputs",
type=str,
default=None,
help='Experimental: JSON object passed to flow.kickoff(), e.g. \'{"topic":"AI"}\'.',
help='Flow-only: JSON object passed to the declarative flow, e.g. \'{"topic":"AI"}\'.',
)
def run(
trained_agents_file: str | None,
@@ -531,16 +528,14 @@ def run(
"""Run the Crew or Flow."""
if inputs is not None and definition is None:
raise click.UsageError("--inputs requires --definition")
if trained_agents_file is not None and definition is not None:
raise click.UsageError("--filename can only be used when running crews")
if definition is not None:
click.secho(
"Warning: `crewai run --definition` is experimental and may change without notice.",
fg="yellow",
)
run_flow_definition(definition=definition, inputs=inputs)
return
run_crew(trained_agents_file=trained_agents_file)
run_crew(
trained_agents_file=trained_agents_file,
definition=definition,
inputs=inputs,
)
@crewai.command()
@@ -795,10 +790,11 @@ def flow() -> None:
@flow.command(name="kickoff")
def flow_run() -> None:
"""Kickoff the Flow."""
from crewai_cli.kickoff_flow import kickoff_flow
click.echo("Running the Flow")
kickoff_flow()
click.secho(
"The command 'crewai flow kickoff' is deprecated. Use 'crewai run' instead.",
fg="yellow",
)
run_crew(trained_agents_file=None, definition=None, inputs=None)
@flow.command(name="plot")

View File

@@ -5,7 +5,10 @@ import click
from crewai_core.telemetry import Telemetry
def create_flow(name: str) -> None:
DECLARATIVE_FLOW_FOLDERS = ("crews", "tools", "knowledge", "skills")
def create_flow(name: str, *, declarative: bool = False) -> None:
"""Create a new flow."""
folder_name = name.replace(" ", "_").replace("-", "_").lower()
class_name = name.replace("_", " ").replace("-", " ").title().replace(" ", "")
@@ -20,6 +23,17 @@ def create_flow(name: str) -> None:
telemetry = Telemetry()
telemetry.flow_creation_span(class_name)
if declarative:
_create_declarative_flow(name, class_name, folder_name, project_root)
else:
_create_python_flow(name, class_name, folder_name, project_root)
click.secho(f"Flow {name} created successfully!", fg="green", bold=True)
def _create_python_flow(
name: str, class_name: str, folder_name: str, project_root: Path
) -> None:
(project_root / "src" / folder_name).mkdir(parents=True)
(project_root / "src" / folder_name / "crews").mkdir(parents=True)
(project_root / "src" / folder_name / "tools").mkdir(parents=True)
@@ -92,4 +106,41 @@ def create_flow(name: str) -> None:
fg="yellow",
)
click.secho(f"Flow {name} created successfully!", fg="green", bold=True)
def _create_declarative_flow(
name: str, class_name: str, folder_name: str, project_root: Path
) -> None:
project_root.mkdir(parents=True)
package_root = project_root / "src" / folder_name
package_root.mkdir(parents=True)
for folder in DECLARATIVE_FLOW_FOLDERS:
(package_root / folder).mkdir()
package_dir = Path(__file__).parent
templates_dir = package_dir / "templates" / "declarative_flow"
agents_md_src = package_dir / "templates" / "AGENTS.md"
if agents_md_src.exists():
shutil.copy2(agents_md_src, project_root / "AGENTS.md")
for src_file in templates_dir.rglob("*"):
if not src_file.is_file():
continue
relative_path = src_file.relative_to(templates_dir)
dst_file = (
project_root / relative_path
if relative_path.name in {".gitignore", "README.md", "pyproject.toml"}
else package_root / relative_path
)
dst_file.parent.mkdir(parents=True, exist_ok=True)
content = src_file.read_text(encoding="utf-8")
content = content.replace("{{name}}", name)
content = content.replace("{{flow_name}}", class_name)
content = content.replace("{{folder_name}}", folder_name)
dst_file.write_text(content, encoding="utf-8")
(project_root / ".env").write_text("OPENAI_API_KEY=YOUR_API_KEY", encoding="utf-8")
(package_root / "__init__.py").write_text("", encoding="utf-8")
for folder in DECLARATIVE_FLOW_FOLDERS:
(package_root / folder / ".gitkeep").write_text("", encoding="utf-8")

View File

@@ -680,7 +680,7 @@ def _default_agents_and_tasks(
]
crew_settings = {
"process": "sequential",
"memory": False,
"memory": True,
"inputs": {},
}
return agents, tasks, crew_settings

View File

@@ -1,15 +1,11 @@
from __future__ import annotations
from pathlib import Path
import re
import shutil
import tempfile
from typing import Any
import zipfile
from crewai_cli import git
from crewai_cli.deploy.validate import normalize_package_name
from crewai_cli.utils import parse_toml
_EXCLUDED_DIRS = {
@@ -38,8 +34,6 @@ _EXCLUDED_SUFFIXES = {
".pyc",
".pyo",
}
_SCRIPT_KEY_PATTERN = re.compile(r"^\s*(?P<key>[A-Za-z0-9_.-]+|\"[^\"]+\"|'[^']+')\s*=")
_SECTION_PATTERN = re.compile(r"^\s*\[[^\]]+\]\s*(?:#.*)?$")
def create_project_zip(
@@ -143,267 +137,7 @@ def _stage_project(root: Path, files: list[Path]) -> Path:
destination = staging_root / relative_path
destination.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(source, destination)
if _is_json_crew_project(staging_root):
_add_json_crew_deploy_wrapper(staging_root)
except Exception:
shutil.rmtree(staging_root, ignore_errors=True)
raise
return staging_root
def _is_json_crew_project(root: Path) -> bool:
"""Return True for JSON crew projects that need a Python deploy wrapper."""
if not ((root / "crew.jsonc").is_file() or (root / "crew.json").is_file()):
return False
project = _read_pyproject(root)
tool_config = project.get("tool") or {}
crewai_config = tool_config.get("crewai") if isinstance(tool_config, dict) else None
declared_type = (
crewai_config.get("type") if isinstance(crewai_config, dict) else None
)
if declared_type == "flow":
return False
package_name = _package_name(root)
if package_name is None:
raise ValueError(
"Could not derive a valid Python package name from [project].name."
)
return not (root / "src" / package_name / "crew.py").is_file()
def _read_pyproject(root: Path) -> dict[str, Any]:
"""Read pyproject.toml, returning an empty mapping on missing or invalid data."""
pyproject_path = root / "pyproject.toml"
if not pyproject_path.is_file():
return {}
try:
pyproject = parse_toml(pyproject_path.read_text())
except Exception:
return {}
return pyproject if isinstance(pyproject, dict) else {}
def _package_name(root: Path) -> str | None:
"""Return the normalized Python package name for the project."""
project = _read_pyproject(root).get("project")
if not isinstance(project, dict):
return None
name = project.get("name")
if not isinstance(name, str) or not name.strip():
return None
package_name = normalize_package_name(name)
return package_name or None
def _class_name(package_name: str) -> str:
"""Return the generated wrapper class name for a package."""
parts = [part for part in re.split(r"[^a-zA-Z0-9]+", package_name) if part]
class_name = "".join(part[:1].upper() + part[1:] for part in parts)
if not class_name:
return "JsonCrew"
if class_name[0].isdigit():
return f"Crew{class_name}"
return class_name
def _add_json_crew_deploy_wrapper(root: Path) -> None:
"""Add Python wrapper files required to deploy a JSON crew project."""
package_name = _package_name(root)
if package_name is None:
raise ValueError(
"Could not derive a valid Python package name from [project].name."
)
package_dir = root / "src" / package_name
config_dir = package_dir / "config"
config_dir.mkdir(parents=True, exist_ok=True)
class_name = _class_name(package_name)
crew_filename = "crew.jsonc" if (root / "crew.jsonc").is_file() else "crew.json"
(package_dir / "__init__.py").write_text("", encoding="utf-8")
(config_dir / "agents.yaml").write_text("{}\n", encoding="utf-8")
(config_dir / "tasks.yaml").write_text("{}\n", encoding="utf-8")
(package_dir / "crew.py").write_text(
_json_crew_py(class_name, crew_filename),
encoding="utf-8",
)
(package_dir / "main.py").write_text(
_json_main_py(package_name, class_name),
encoding="utf-8",
)
_ensure_project_scripts(root, package_name)
def _json_crew_py(class_name: str, crew_filename: str) -> str:
"""Render the generated crew.py module for a JSON crew."""
return f'''from pathlib import Path
from crewai import Crew
from crewai.project import CrewBase, crew
from crewai.project.crew_loader import load_crew
def _crew_path() -> Path:
return Path(__file__).resolve().parents[2] / "{crew_filename}"
@CrewBase
class {class_name}:
"""Compatibility wrapper for a JSON-defined CrewAI project."""
@crew
def crew(self) -> Crew:
crew_instance, default_inputs = load_crew(_crew_path())
self.default_inputs = default_inputs
return crew_instance
'''
def _json_main_py(package_name: str, class_name: str) -> str:
"""Render the generated main.py entrypoints for a JSON crew."""
return f"""#!/usr/bin/env python
import json
import sys
from {package_name}.crew import {class_name}
def _load():
wrapper = {class_name}()
crew = wrapper.crew()
return crew, getattr(wrapper, "default_inputs", {{}})
def run():
crew, inputs = _load()
return crew.kickoff(inputs=inputs)
def train():
crew, inputs = _load()
return crew.train(
n_iterations=int(sys.argv[1]),
filename=sys.argv[2],
inputs=inputs,
)
def replay():
crew, _ = _load()
return crew.replay(task_id=sys.argv[1])
def test():
crew, inputs = _load()
return crew.test(
n_iterations=int(sys.argv[1]),
eval_llm=sys.argv[2],
inputs=inputs,
)
def run_with_trigger():
if len(sys.argv) < 2:
raise ValueError("No trigger payload provided.")
crew, inputs = _load()
trigger_payload = json.loads(sys.argv[1])
return crew.kickoff(
inputs={{**inputs, "crewai_trigger_payload": trigger_payload}}
)
"""
def _ensure_project_scripts(root: Path, package_name: str) -> None:
"""Ensure generated wrappers have project script entrypoints."""
pyproject_path = root / "pyproject.toml"
if not pyproject_path.is_file():
return
content = pyproject_path.read_text(encoding="utf-8")
entries = _project_script_entries(package_name)
pyproject_path.write_text(
_update_project_scripts(content, entries),
encoding="utf-8",
)
def _project_script_entries(package_name: str) -> dict[str, str]:
"""Return script entrypoints required by the generated JSON wrapper."""
return {
package_name: f"{package_name}.main:run",
"run_crew": f"{package_name}.main:run",
"train": f"{package_name}.main:train",
"replay": f"{package_name}.main:replay",
"test": f"{package_name}.main:test",
"run_with_trigger": f"{package_name}.main:run_with_trigger",
}
def _update_project_scripts(content: str, entries: dict[str, str]) -> str:
"""Add or replace generated script entries in pyproject.toml content."""
lines = content.rstrip().splitlines()
header_index = _project_scripts_header_index(lines)
if header_index is None:
return content.rstrip() + _project_scripts_block(entries)
end_index = _section_end_index(lines, header_index + 1)
seen: set[str] = set()
for index in range(header_index + 1, end_index):
key = _script_key(lines[index])
if key in entries:
lines[index] = _script_line(key, entries[key])
seen.add(key)
missing_lines = [
_script_line(key, value) for key, value in entries.items() if key not in seen
]
lines[end_index:end_index] = missing_lines
return "\n".join(lines).rstrip() + "\n"
def _project_scripts_header_index(lines: list[str]) -> int | None:
"""Return the line index of the project scripts table, if present."""
for index, line in enumerate(lines):
if line.strip() == "[project.scripts]":
return index
return None
def _section_end_index(lines: list[str], start_index: int) -> int:
"""Return the exclusive end index for a TOML table section."""
for index in range(start_index, len(lines)):
if _SECTION_PATTERN.match(lines[index]):
return index
return len(lines)
def _script_key(line: str) -> str | None:
"""Return the script key for a pyproject script line."""
match = _SCRIPT_KEY_PATTERN.match(line)
if not match:
return None
key = match.group("key")
if key.startswith(("'", '"')) and key.endswith(("'", '"')):
return key[1:-1]
return key
def _script_line(key: str, value: str) -> str:
"""Render a project script TOML entry."""
return f'{key} = "{value}"'
def _project_scripts_block(entries: dict[str, str]) -> str:
"""Render a project scripts TOML table."""
lines = ["", "", "[project.scripts]"]
lines.extend(_script_line(key, value) for key, value in entries.items())
return "\n".join(lines) + "\n"

View File

@@ -212,8 +212,16 @@ class DeployValidator:
if crew_path is None:
return self.results
agents_dir = self.project_root / "agents"
self._check_pyproject()
self._check_lockfile()
agents_dir_ok = self._check_json_agents_dir(agents_dir)
project = None
try:
project = validate_crew_project(crew_path, self.project_root / "agents")
if agents_dir_ok:
project = validate_crew_project(crew_path, agents_dir)
except JSONProjectValidationError as e:
self._add(
Severity.ERROR,
@@ -232,15 +240,27 @@ class DeployValidator:
)
return self.results
agents_dir = self.project_root / "agents"
self._check_pyproject()
self._check_lockfile()
self._check_env_vars_json(crew_path, agents_dir, project.agent_names)
if project is not None:
self._check_env_vars_json(crew_path, agents_dir, project.agent_names)
self._check_version_vs_lockfile()
return self.results
def _check_json_agents_dir(self, agents_dir: Path) -> bool:
if agents_dir.is_dir():
return True
self._add(
Severity.ERROR,
"missing_agents_dir",
"Cannot find agents/ directory",
detail=(
"JSON crew projects load agent definitions from "
f"{agents_dir.relative_to(self.project_root)}/*.jsonc or *.json."
),
hint="Create agents/ and add one JSON or JSONC file per agent.",
)
return False
def _check_env_vars_json(
self, crew_path: Path, agents_dir: Path, agent_names: list[str]
) -> None:

View File

@@ -1,23 +0,0 @@
import subprocess
import click
def kickoff_flow() -> None:
"""
Kickoff the flow by running a command in the UV environment.
"""
command = ["uv", "run", "kickoff"]
try:
result = subprocess.run(command, capture_output=False, text=True, check=True) # noqa: S603
if result.stderr:
click.echo(result.stderr, err=True)
except subprocess.CalledProcessError as e:
click.echo(f"An error occurred while running the flow: {e}", err=True)
click.echo(e.output, err=True)
except Exception as e:
click.echo(f"An unexpected error occurred: {e}", err=True)

View File

@@ -5,19 +5,27 @@ import click
def plot_flow() -> None:
"""
Plot the flow by running a command in the UV environment.
Plot the flow from declarative config or the Python UV entrypoint.
"""
command = ["uv", "run", "plot"]
from crewai_cli.run_declarative_flow import (
configured_project_declarative_flow,
plot_declarative_flow_in_project_env,
)
try:
result = subprocess.run(command, capture_output=False, text=True, check=True) # noqa: S603
if definition := configured_project_declarative_flow():
plot_declarative_flow_in_project_env(definition)
else:
command = ["uv", "run", "plot"]
if result.stderr:
click.echo(result.stderr, err=True)
try:
subprocess.run( # noqa: S603
command, capture_output=False, text=True, check=True
)
except subprocess.CalledProcessError as e:
click.echo(f"An error occurred while plotting the flow: {e}", err=True)
click.echo(e.output, err=True)
except subprocess.CalledProcessError as e:
click.echo(f"An error occurred while plotting the flow: {e}", err=True)
raise SystemExit(1) from e
except Exception as e:
click.echo(f"An unexpected error occurred: {e}", err=True)
except Exception as e:
click.echo(f"An unexpected error occurred: {e}", err=True)
raise SystemExit(1) from e

View File

@@ -2,7 +2,6 @@ from __future__ import annotations
from collections.abc import Callable
from contextlib import AbstractContextManager, nullcontext
from enum import Enum
import os
from pathlib import Path
import re
@@ -27,11 +26,6 @@ if TYPE_CHECKING:
from crewai_cli.crew_run_tui import CrewRunApp
class CrewType(Enum):
STANDARD = "standard"
FLOW = "flow"
# Must accept the same names as the kickoff interpolation pattern in
# crewai.utilities.string_utils (_VARIABLE_PATTERN), including hyphens —
# otherwise placeholders are interpolated at runtime but never prompted for.
@@ -537,7 +531,11 @@ def _print_post_tui_summary(app: CrewRunApp) -> None:
)
def run_crew(trained_agents_file: str | None = None) -> None:
def run_crew(
trained_agents_file: str | None = None,
definition: str | None = None,
inputs: str | None = None,
) -> None:
"""Run the crew or flow.
Args:
@@ -545,15 +543,88 @@ def run_crew(trained_agents_file: str | None = None) -> None:
by ``crewai train -f``. When set, exported as
``CREWAI_TRAINED_AGENTS_FILE`` so agents load suggestions from this
file instead of the default ``trained_agents_data.pkl``.
definition: Optional path to a declarative Flow definition.
inputs: Optional JSON object passed to a declarative Flow.
"""
# JSON crew projects take precedence
if inputs is not None and definition is None:
raise click.UsageError("--inputs requires --definition")
if definition is not None:
_run_explicit_declarative_flow(
definition=definition,
inputs=inputs,
trained_agents_file=trained_agents_file,
)
return
if _has_json_crew():
_run_json_crew_in_project_env(trained_agents_file=trained_agents_file)
return
pyproject_data = read_toml()
_warn_if_old_poetry_project(pyproject_data)
project_type = _get_project_type(pyproject_data)
if project_type == "flow":
_run_flow_project(
pyproject_data=pyproject_data,
trained_agents_file=trained_agents_file,
)
return
_run_classic_crew_project(
pyproject_data=pyproject_data,
trained_agents_file=trained_agents_file,
)
def _run_explicit_declarative_flow(
definition: str, inputs: str | None, trained_agents_file: str | None
) -> None:
if trained_agents_file is not None:
raise click.UsageError("--filename can only be used when running crews")
from crewai_cli.run_declarative_flow import run_declarative_flow
run_declarative_flow(definition=definition, inputs=inputs)
def _run_flow_project(
pyproject_data: dict[str, Any], trained_agents_file: str | None
) -> None:
if trained_agents_file is not None:
raise click.UsageError("--filename can only be used when running crews")
from crewai_cli.run_declarative_flow import (
configured_project_declarative_flow,
run_declarative_flow_in_project_env,
)
if definition := configured_project_declarative_flow(pyproject_data):
run_declarative_flow_in_project_env(definition=definition)
return
_execute_uv_script("kickoff", entity_type="flow")
def _run_classic_crew_project(
pyproject_data: dict[str, Any], trained_agents_file: str | None
) -> None:
_execute_uv_script(
"run_crew",
entity_type="crew",
trained_agents_file=trained_agents_file,
)
def _get_project_type(pyproject_data: dict[str, Any]) -> str | None:
project_type = pyproject_data.get("tool", {}).get("crewai", {}).get("type")
return project_type if isinstance(project_type, str) else None
def _warn_if_old_poetry_project(pyproject_data: dict[str, Any]) -> None:
crewai_version = get_crewai_version()
min_required_version = "0.71.0"
pyproject_data = read_toml()
if pyproject_data.get("tool", {}).get("poetry") and (
version.parse(crewai_version) < version.parse(min_required_version)
@@ -564,25 +635,22 @@ def run_crew(trained_agents_file: str | None = None) -> None:
fg="red",
)
is_flow = pyproject_data.get("tool", {}).get("crewai", {}).get("type") == "flow"
crew_type = CrewType.FLOW if is_flow else CrewType.STANDARD
click.echo(f"Running the {'Flow' if is_flow else 'Crew'}")
execute_command(crew_type, trained_agents_file=trained_agents_file)
def execute_command(
crew_type: CrewType, trained_agents_file: str | None = None
def _execute_uv_script(
script_name: str,
*,
entity_type: str,
trained_agents_file: str | None = None,
) -> None:
"""Execute the appropriate command based on crew type.
"""Execute a project script through uv.
Args:
crew_type: The type of crew to run.
script_name: The project script to run.
entity_type: The user-facing entity being run.
trained_agents_file: Optional trained-agents pickle path forwarded to
the subprocess via the ``CREWAI_TRAINED_AGENTS_FILE`` env var.
"""
command = ["uv", "run", "kickoff" if crew_type == CrewType.FLOW else "run_crew"]
command = ["uv", "run", script_name]
env = build_env_with_all_tool_credentials()
if trained_agents_file:
@@ -592,21 +660,20 @@ def execute_command(
subprocess.run(command, capture_output=False, text=True, check=True, env=env) # noqa: S603
except subprocess.CalledProcessError as e:
handle_error(e, crew_type)
_handle_run_error(e, entity_type)
except Exception as e:
click.echo(f"An unexpected error occurred: {e}", err=True)
def handle_error(error: subprocess.CalledProcessError, crew_type: CrewType) -> None:
def _handle_run_error(error: subprocess.CalledProcessError, entity_type: str) -> None:
"""
Handle subprocess errors with appropriate messaging.
Args:
error: The subprocess error that occurred
crew_type: The type of crew that was being run
entity_type: The type of entity that was being run
"""
entity_type = "flow" if crew_type == CrewType.FLOW else "crew"
click.echo(f"An error occurred while running the {entity_type}: {error}", err=True)
if error.output:

View File

@@ -0,0 +1,181 @@
from __future__ import annotations
import json
from pathlib import Path
import subprocess
from typing import Any
import click
from pydantic import ValidationError
from crewai_cli.utils import build_env_with_all_tool_credentials
def run_declarative_flow_in_project_env(
definition: str, inputs: str | None = None
) -> None:
"""Run a declarative flow inside the project's Python environment."""
if is_declarative_flow_project_env() or not _has_project_file():
run_declarative_flow(definition=definition, inputs=inputs)
return
if inputs is not None:
raise click.UsageError("--inputs is only supported with --definition")
_execute_declarative_flow_command(["uv", "run", "crewai", "run"])
def plot_declarative_flow_in_project_env(definition: str) -> None:
"""Plot a declarative flow inside the project's Python environment."""
if is_declarative_flow_project_env() or not _has_project_file():
plot_declarative_flow(definition=definition)
return
_execute_declarative_flow_command(["uv", "run", "crewai", "flow", "plot"])
def run_declarative_flow(definition: str, inputs: str | None = None) -> None:
"""Run a declarative flow from a definition path."""
parsed_inputs = _parse_inputs(inputs)
try:
flow = load_declarative_flow(definition)
result = flow.kickoff(inputs=parsed_inputs)
except Exception as exc:
click.echo(
f"An error occurred while running the declarative flow: {exc}", err=True
)
raise SystemExit(1) from exc
click.echo(_format_result(result))
def plot_declarative_flow(definition: str) -> None:
"""Plot a declarative flow from a definition path."""
try:
flow = load_declarative_flow(definition)
flow.plot()
except Exception as exc:
click.echo(
f"An error occurred while plotting the declarative flow: {exc}", err=True
)
raise SystemExit(1) from exc
def load_declarative_flow(definition: str) -> Any:
"""Load a declarative Flow instance from a definition path."""
try:
from crewai.flow.flow import Flow
except ImportError as exc:
click.echo(
"Running declarative flows requires the full crewai package.",
err=True,
)
raise SystemExit(1) from exc
definition_path = Path(definition).expanduser()
try:
if not definition_path.is_file():
if definition_path.exists():
click.echo(
f"Invalid --definition path: {definition} is not a file.",
err=True,
)
raise SystemExit(1)
click.echo(
f"Invalid --definition path: {definition} does not exist.", err=True
)
raise SystemExit(1)
except OSError as exc:
click.echo(f"Invalid --definition path: {definition} ({exc})", err=True)
raise SystemExit(1) from exc
try:
return Flow.from_declaration(path=definition_path)
except (OSError, UnicodeError, ValueError, ValidationError) as exc:
click.echo(
f"Unable to read --definition path {definition_path}: {exc}",
err=True,
)
raise SystemExit(1) from exc
def configured_project_declarative_flow(
pyproject_data: dict[str, Any] | None = None,
) -> str | None:
"""Return the configured declarative flow source for flow projects."""
if pyproject_data is None:
try:
from crewai_cli.utils import read_toml
pyproject_data = read_toml()
except Exception:
return None
crewai_config = pyproject_data.get("tool", {}).get("crewai", {})
if crewai_config.get("type") != "flow":
return None
definition = crewai_config.get("definition")
if not isinstance(definition, str):
return None
return definition.strip() or None
def _execute_declarative_flow_command(command: list[str]) -> None:
env = build_env_with_all_tool_credentials()
try:
subprocess.run( # noqa: S603
command,
capture_output=False,
text=True,
check=True,
env=env,
)
except subprocess.CalledProcessError as e:
raise SystemExit(e.returncode) from e
except Exception as e:
click.echo(
f"An unexpected error occurred while running the declarative flow: {e}",
err=True,
)
raise SystemExit(1) from e
def is_declarative_flow_project_env() -> bool:
import os
return os.environ.get("UV_RUN_RECURSION_DEPTH") is not None
def _has_project_file(project_root: Path | None = None) -> bool:
root = project_root or Path.cwd()
return (root / "pyproject.toml").is_file()
def _parse_inputs(inputs: str | None) -> dict[str, Any] | None:
if inputs is None:
return None
try:
parsed = json.loads(inputs)
except json.JSONDecodeError as exc:
click.echo(f"Invalid --inputs JSON: {exc}", err=True)
raise SystemExit(1) from exc
if not isinstance(parsed, dict):
click.echo("Invalid --inputs JSON: expected an object.", err=True)
raise SystemExit(1)
return parsed
def _format_result(result: Any) -> str:
raw_result = getattr(result, "raw", result)
if isinstance(raw_result, str):
return raw_result
try:
return json.dumps(raw_result, default=str)
except TypeError:
return str(raw_result)

View File

@@ -1,113 +0,0 @@
from __future__ import annotations
import json
from pathlib import Path
from typing import Any
import click
def run_flow_definition(definition: str, inputs: str | None = None) -> None:
"""Run a flow from a Flow Definition YAML/JSON string or file path."""
try:
from crewai.flow.flow import Flow
from crewai.flow.flow_definition import FlowDefinition
except ImportError as exc:
click.echo(
"Running flows from definitions requires the full crewai package.",
err=True,
)
raise SystemExit(1) from exc
parsed_inputs = _parse_inputs(inputs)
definition_source = _read_definition_source(definition)
try:
flow_definition = _parse_flow_definition(FlowDefinition, definition_source)
flow = Flow.from_definition(flow_definition)
result = flow.kickoff(inputs=parsed_inputs)
except Exception as exc:
click.echo(
f"An error occurred while running the flow definition: {exc}", err=True
)
raise SystemExit(1) from exc
click.echo(_format_result(result))
def _parse_inputs(inputs: str | None) -> dict[str, Any] | None:
if inputs is None:
return None
try:
parsed = json.loads(inputs)
except json.JSONDecodeError as exc:
click.echo(f"Invalid --inputs JSON: {exc}", err=True)
raise SystemExit(1) from exc
if not isinstance(parsed, dict):
click.echo("Invalid --inputs JSON: expected an object.", err=True)
raise SystemExit(1)
return parsed
def _read_definition_source(definition: str) -> str:
path = Path(definition).expanduser()
try:
is_file = path.is_file()
except OSError as exc:
if _looks_like_inline_definition(definition):
return definition
click.echo(f"Invalid --definition path: {definition} ({exc})", err=True)
raise SystemExit(1) from exc
if is_file:
try:
return path.read_text(encoding="utf-8")
except (OSError, UnicodeError) as exc:
click.echo(
f"Unable to read --definition path {path}: {exc}",
err=True,
)
raise SystemExit(1) from exc
try:
if path.exists():
click.echo(
f"Invalid --definition path: {definition} is not a file.", err=True
)
raise SystemExit(1)
except OSError as exc:
click.echo(f"Invalid --definition path: {definition} ({exc})", err=True)
raise SystemExit(1) from exc
return definition
def _looks_like_inline_definition(definition: str) -> bool:
stripped = definition.lstrip()
return "\n" in definition or stripped.startswith(("{", "---")) or ":" in stripped
def _parse_flow_definition(flow_definition_cls: type[Any], source: str) -> Any:
if _looks_like_json(source):
return flow_definition_cls.from_json(source)
return flow_definition_cls.from_yaml(source)
def _looks_like_json(source: str) -> bool:
stripped = source.lstrip()
return stripped.startswith("{")
def _format_result(result: Any) -> str:
raw_result = getattr(result, "raw", result)
if isinstance(raw_result, str):
return raw_result
try:
return json.dumps(raw_result, default=str)
except TypeError:
return str(raw_result)

View File

@@ -62,7 +62,7 @@ crewai create flow <name> --skip_provider # New flow project
# Running
crewai run # Run crew or flow (auto-detects from pyproject.toml)
crewai flow kickoff # Legacy flow execution
crewai flow kickoff # Deprecated compatibility alias for crewai run
# Testing & training
crewai test # Test crew (default: 2 iterations, gpt-4o-mini)

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]==1.14.8a2"
"crewai[tools]==1.14.8a3"
]
[project.scripts]

View File

@@ -0,0 +1,5 @@
.env
.venv/
__pycache__/
.crewai/
output/

View File

@@ -0,0 +1,17 @@
# {{name}} Flow
This project defines a declarative CrewAI Flow in `src/{{folder_name}}/flow.yaml`.
## Install
```bash
crewai install
```
## Run
```bash
crewai run
```
Edit the declarative flow definition at `src/{{folder_name}}/flow.yaml` to change the flow. Add reusable crews under `src/{{folder_name}}/crews/`, custom Python tools under `src/{{folder_name}}/tools/`, and shared knowledge files under `src/{{folder_name}}/knowledge/`.

View File

@@ -0,0 +1,15 @@
schema: crewai.flow/v1
name: {{flow_name}}
description: A declarative CrewAI Flow.
state:
type: dict
default:
topic: AI agents
methods:
start:
start: true
do:
call: expression
expr: state.topic

View File

@@ -0,0 +1,20 @@
[project]
name = "{{folder_name}}"
version = "0.1.0"
description = "{{name}} using crewAI"
authors = [{ name = "Your Name", email = "you@example.com" }]
requires-python = ">=3.10,<3.14"
dependencies = [
"crewai[tools]==1.14.8a3"
]
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/{{folder_name}}"]
[tool.crewai]
type = "flow"
definition = "src/{{folder_name}}/flow.yaml"

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]==1.14.8a2"
"crewai[tools]==1.14.8a3"
]
[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]==1.14.8a2"
"crewai[tools]==1.14.8a3"
]
[tool.crewai]

View File

@@ -132,7 +132,7 @@ def test_create_project_zip_excludes_symlinked_files(tmp_path: Path):
assert names == {"pyproject.toml"}
def test_create_project_zip_adds_json_project_wrapper(tmp_path: Path):
def test_create_project_zip_preserves_json_project_shape(tmp_path: Path):
(tmp_path / "pyproject.toml").write_text(
"""
[project]
@@ -157,8 +157,6 @@ type = "crew"
try:
with zipfile.ZipFile(archive_path) as archive:
names = set(archive.namelist())
crew_py = archive.read("src/json_crew/crew.py").decode()
main_py = archive.read("src/json_crew/main.py").decode()
pyproject = archive.read("pyproject.toml").decode()
finally:
archive_path.unlink(missing_ok=True)
@@ -166,18 +164,50 @@ type = "crew"
assert "uv.lock" not in names
assert "crew.jsonc" in names
assert "agents/researcher.jsonc" in names
assert "src/json_crew/__init__.py" in names
assert "src/json_crew/crew.py" in names
assert "src/json_crew/main.py" in names
assert "src/json_crew/config/agents.yaml" in names
assert "src/json_crew/config/tasks.yaml" in names
assert "load_crew(_crew_path())" in crew_py
assert "JsonCrew" in crew_py
assert "from json_crew.crew import JsonCrew" in main_py
assert "run_crew = \"json_crew.main:run\"" in pyproject
assert all(not name.startswith("src/") for name in names)
assert "run_crew" not in pyproject
assert "json_crew =" not in pyproject
assert "[project.scripts]" not in pyproject
def test_create_project_zip_updates_existing_json_project_scripts(tmp_path: Path):
def test_create_project_zip_keeps_json_project_root_shape(tmp_path: Path):
(tmp_path / "pyproject.toml").write_text(
"""
[project]
name = "json_crew"
version = "0.1.0"
dependencies = ["crewai[tools]==1.14.8a1"]
[tool.crewai]
type = "crew"
""".strip()
+ "\n"
)
(tmp_path / "uv.lock").write_text("# lock\n")
(tmp_path / "agents").mkdir()
(tmp_path / "agents" / "foo.jsonc").write_text("{}\n")
(tmp_path / "crew.jsonc").write_text("{}\n")
archive_path = create_project_zip("json_crew", project_dir=tmp_path)
try:
with zipfile.ZipFile(archive_path) as archive:
names = set(archive.namelist())
pyproject = archive.read("pyproject.toml").decode()
finally:
archive_path.unlink(missing_ok=True)
assert names == {
"agents/foo.jsonc",
"crew.jsonc",
"pyproject.toml",
"uv.lock",
}
assert "run_crew" not in pyproject
assert "json_crew =" not in pyproject
assert "[project.scripts]" not in pyproject
def test_create_project_zip_does_not_rewrite_json_project_scripts(tmp_path: Path):
(tmp_path / "pyproject.toml").write_text(
"""
[project]
@@ -203,14 +233,10 @@ type = "crew"
finally:
archive_path.unlink(missing_ok=True)
assert 'json_crew = "json_crew.main:run"' in pyproject
assert 'run_crew = "json_crew.main:run"' in pyproject
assert 'train = "json_crew.main:train"' in pyproject
assert 'replay = "json_crew.main:replay"' in pyproject
assert 'test = "json_crew.main:test"' in pyproject
assert 'run_with_trigger = "json_crew.main:run_with_trigger"' in pyproject
assert 'json_crew = "old.module:run"' in pyproject
assert 'run_crew = "old.module:run"' in pyproject
assert 'custom = "custom.module:main"' in pyproject
assert "old.module:run" not in pyproject
assert pyproject.count("[project.scripts]") == 1
assert "[tool.crewai]" in pyproject
@@ -221,7 +247,7 @@ type = "crew"
'[tool]\ncrewai = "invalid"\n',
],
)
def test_create_project_zip_adds_json_wrapper_for_malformed_tool_config(
def test_create_project_zip_preserves_json_project_with_malformed_tool_config(
tmp_path: Path, tool_config: str
):
(tmp_path / "pyproject.toml").write_text(
@@ -244,12 +270,13 @@ version = "0.1.0"
finally:
archive_path.unlink(missing_ok=True)
assert "src/json_crew/crew.py" in names
assert "src/json_crew/main.py" in names
assert "run_crew = \"json_crew.main:run\"" in pyproject
assert names == {"crew.jsonc", "pyproject.toml"}
assert "run_crew" not in pyproject
assert "json_crew =" not in pyproject
assert "[project.scripts]" not in pyproject
def test_create_project_zip_rejects_empty_normalized_package_name(tmp_path: Path):
def test_create_project_zip_accepts_json_project_without_package_name(tmp_path: Path):
(tmp_path / "pyproject.toml").write_text(
"""
[project]
@@ -263,8 +290,15 @@ type = "crew"
)
(tmp_path / "crew.jsonc").write_text("{}\n")
with pytest.raises(
ValueError,
match=r"Could not derive a valid Python package name",
):
create_project_zip("invalid", project_dir=tmp_path)
archive_path = create_project_zip("invalid", project_dir=tmp_path)
try:
with zipfile.ZipFile(archive_path) as archive:
names = set(archive.namelist())
pyproject = archive.read("pyproject.toml").decode()
finally:
archive_path.unlink(missing_ok=True)
assert names == {"crew.jsonc", "pyproject.toml"}
assert "run_crew" not in pyproject
assert "json_crew =" not in pyproject
assert "[project.scripts]" not in pyproject

View File

@@ -200,6 +200,41 @@ def test_json_runtime_fields_are_deploy_errors(tmp_path: Path) -> None:
assert "runtime-only" in finding.detail
def test_json_crew_requires_agents_dir_without_classic_errors(tmp_path: Path) -> None:
_scaffold_json_crew(tmp_path)
for path in (tmp_path / "agents").iterdir():
path.unlink()
(tmp_path / "agents").rmdir()
v = DeployValidator(project_root=tmp_path)
v.run()
codes = _codes(v)
assert "missing_agents_dir" in codes
assert "missing_src_dir" not in codes
assert "missing_crew_py" not in codes
assert "missing_agents_yaml" not in codes
assert "missing_tasks_yaml" not in codes
def test_json_crew_reports_project_metadata_before_invalid_json(
tmp_path: Path,
) -> None:
_scaffold_json_crew(tmp_path)
(tmp_path / "pyproject.toml").unlink()
(tmp_path / "uv.lock").unlink()
(tmp_path / "crew.jsonc").write_text('{"agents": ["researcher"], "tasks": []}\n')
v = DeployValidator(project_root=tmp_path)
v.run()
codes = _codes(v)
assert "missing_pyproject" in codes
assert "missing_lockfile" in codes
assert "invalid_crew_json" in codes
assert "missing_src_dir" not in codes
def test_missing_pyproject_errors(tmp_path: Path) -> None:
v = _run_without_import_check(tmp_path)
assert "missing_pyproject" in _codes(v)

View File

@@ -12,6 +12,7 @@ from crewai_cli.cli import (
deploy_remove,
deply_status,
flow_add_crew,
flow_run,
login,
reset_memories,
run,
@@ -126,38 +127,75 @@ def test_run_uses_project_runner_by_default(run_crew, runner):
result = runner.invoke(run)
assert result.exit_code == 0
run_crew.assert_called_once_with(trained_agents_file=None)
run_crew.assert_called_once_with(
trained_agents_file=None,
definition=None,
inputs=None,
)
assert "experimental" not in result.output.lower()
@mock.patch("crewai_cli.cli.run_flow_definition")
def test_run_with_definition_uses_definition_runner(run_flow_definition, runner):
@mock.patch("crewai_cli.cli.run_crew")
def test_run_with_definition_uses_project_runner(run_crew, runner):
result = runner.invoke(
run,
["--definition", "flow.yaml", "--inputs", '{"topic":"AI"}'],
)
assert result.exit_code == 0
assert (
"Warning: `crewai run --definition` is experimental and may change without notice."
in result.output
)
run_flow_definition.assert_called_once_with(
definition="flow.yaml", inputs='{"topic":"AI"}'
run_crew.assert_called_once_with(
trained_agents_file=None,
definition="flow.yaml",
inputs='{"topic":"AI"}',
)
@mock.patch("crewai_cli.cli.run_crew")
@mock.patch("crewai_cli.cli.run_flow_definition")
def test_run_rejects_inputs_without_definition(run_flow_definition, run_crew, runner):
def test_run_rejects_inputs_without_definition(run_crew, runner):
result = runner.invoke(run, ["--inputs", '{"topic":"AI"}'])
assert result.exit_code == 2
assert "Error: --inputs requires --definition" in result.output
run_flow_definition.assert_not_called()
run_crew.assert_not_called()
@mock.patch("crewai_cli.cli.run_crew")
def test_run_rejects_filename_with_definition(run_crew, runner):
result = runner.invoke(run, ["--definition", "flow.yaml", "--filename", "x.pkl"])
assert result.exit_code == 2
assert "Error: --filename can only be used when running crews" in result.output
run_crew.assert_not_called()
@mock.patch("crewai_cli.cli.run_crew")
def test_run_passes_filename_to_project_runner(run_crew, runner):
result = runner.invoke(run, ["--filename", "trained.pkl"])
assert result.exit_code == 0
run_crew.assert_called_once_with(
trained_agents_file="trained.pkl",
definition=None,
inputs=None,
)
@mock.patch("crewai_cli.cli.run_crew")
def test_flow_kickoff_is_deprecated_and_uses_run_path(run_crew, runner):
result = runner.invoke(flow_run)
assert result.exit_code == 0
run_crew.assert_called_once_with(
trained_agents_file=None,
definition=None,
inputs=None,
)
assert (
"The command 'crewai flow kickoff' is deprecated. Use 'crewai run' instead."
in result.output
)
@mock.patch("crewai_cli.create_json_crew.create_json_crew")
def test_create_crew_in_dmn_mode_skips_provider_prompts(create_json_crew, runner):
result = runner.invoke(create, ["crew", "DMN Crew"], env={"CREWAI_DMN": "True"})
@@ -166,6 +204,23 @@ def test_create_crew_in_dmn_mode_skips_provider_prompts(create_json_crew, runner
create_json_crew.assert_called_once_with("DMN Crew", None, True)
@mock.patch("crewai_cli.create_flow.create_flow")
def test_create_flow_declarative_uses_declarative_scaffold(create_flow, runner):
result = runner.invoke(create, ["flow", "My Flow", "--declarative"])
assert result.exit_code == 0
create_flow.assert_called_once_with("My Flow", declarative=True)
@mock.patch("crewai_cli.create_json_crew.create_json_crew")
def test_create_crew_rejects_declarative_flag(create_json_crew, runner):
result = runner.invoke(create, ["crew", "My Crew", "--declarative"])
assert result.exit_code == 2
assert "--declarative can only be used with flow projects" in result.output
create_json_crew.assert_not_called()
def test_create_requires_type_in_dmn_mode(runner):
result = runner.invoke(create, env={"CREWAI_DMN": "True"})

View File

@@ -712,8 +712,26 @@ def test_json_create_provider_preselects_default_model(tmp_path, monkeypatch):
default_llm="openai/gpt-5.5",
)
assert (tmp_path / "json_crew" / "crew.jsonc").exists()
assert not (tmp_path / "json_crew" / "src").exists()
assert not (tmp_path / "json_crew" / "tests").exists()
assert not (tmp_path / "json_crew" / "config.jsonc").exists()
generated_paths = {
path.relative_to(tmp_path / "json_crew").as_posix()
for path in (tmp_path / "json_crew").rglob("*")
if path.is_file()
}
assert not any(
path.endswith("/crew.py") or path == "crew.py" for path in generated_paths
)
assert not any(
path.endswith("/agents.yaml") or path == "agents.yaml"
for path in generated_paths
)
assert not any(
path.endswith("/tasks.yaml") or path == "tasks.yaml"
for path in generated_paths
)
assert not any(path.startswith("src/") for path in generated_paths)
pyproject = tomli.loads((tmp_path / "json_crew" / "pyproject.toml").read_text())
dependency = pyproject["project"]["dependencies"][0]
@@ -849,7 +867,7 @@ def test_json_create_dmn_mode_uses_non_interactive_defaults(tmp_path, monkeypatc
crew_template = (project_root / "crew.jsonc").read_text()
agent_template = (project_root / "agents" / "researcher.jsonc").read_text()
assert '"memory": false' in crew_template
assert '"memory": true' in crew_template
assert '"description": "Research current AI trends and write a concise summary."' in (
crew_template
)

View File

@@ -0,0 +1,35 @@
from __future__ import annotations
from pathlib import Path
from click.testing import CliRunner
from pytest import MonkeyPatch
import tomli
from crewai_cli.cli import crewai
from crewai_cli.create_flow import create_flow
def test_create_flow_declarative_project_can_run(
tmp_path: Path, monkeypatch: MonkeyPatch
):
monkeypatch.chdir(tmp_path)
create_flow("Research Flow", declarative=True)
project_root = tmp_path / "research_flow"
assert project_root.is_dir()
pyproject = tomli.loads(
(project_root / "pyproject.toml").read_text(encoding="utf-8")
)
assert pyproject["project"]["name"] == "research_flow"
assert pyproject["project"]["requires-python"]
assert pyproject["project"]["dependencies"]
assert (project_root / pyproject["tool"]["crewai"]["definition"]).is_file()
monkeypatch.chdir(project_root)
result = CliRunner().invoke(crewai, ["run"], env={"UV_RUN_RECURSION_DEPTH": "1"})
assert result.exit_code == 0
assert "Running the Flow" not in result.output
assert "AI agents" in result.output

View File

@@ -0,0 +1,117 @@
from __future__ import annotations
from pathlib import Path
import subprocess
import pytest
from click.testing import CliRunner
from crewai_cli.cli import flow_run
import crewai_cli.plot_flow as plot_flow_module
FLOW_YAML = """\
schema: crewai.flow/v1
name: TestFlow
config:
suppress_flow_events: true
methods:
begin:
start: true
do:
call: expression
expr: "'AI'"
"""
def _write_flow_project(project_root: Path) -> None:
(project_root / "flow.yaml").write_text(FLOW_YAML, encoding="utf-8")
(project_root / "pyproject.toml").write_text(
'[project]\nname = "demo"\n\n'
'[tool.crewai]\ntype = "flow"\ndefinition = "flow.yaml"\n',
encoding="utf-8",
)
def test_flow_kickoff_runs_configured_declarative_definition(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
_write_flow_project(tmp_path)
monkeypatch.chdir(tmp_path)
monkeypatch.setenv("UV_RUN_RECURSION_DEPTH", "1")
result = CliRunner().invoke(flow_run)
assert result.exit_code == 0
assert (
"The command 'crewai flow kickoff' is deprecated. Use 'crewai run' instead."
in result.output
)
assert "AI\n" in result.output
assert "Running the Flow" not in result.output
def test_plot_flow_runs_configured_declarative_definition(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
_write_flow_project(tmp_path)
monkeypatch.chdir(tmp_path)
monkeypatch.setenv("UV_RUN_RECURSION_DEPTH", "1")
plot_flow_module.plot_flow()
def test_flow_kickoff_delegates_to_run_crew(
monkeypatch: pytest.MonkeyPatch,
) -> None:
calls = []
monkeypatch.setattr(
"crewai_cli.cli.run_crew",
lambda **kwargs: calls.append(kwargs),
)
result = CliRunner().invoke(flow_run)
assert result.exit_code == 0
assert calls == [
{"trained_agents_file": None, "definition": None, "inputs": None},
]
def test_plot_flow_keeps_python_entrypoint_without_definition(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
) -> None:
subprocess_calls = []
monkeypatch.chdir(tmp_path)
monkeypatch.setattr(
subprocess,
"run",
lambda command, **kwargs: subprocess_calls.append((command, kwargs)),
)
plot_flow_module.plot_flow()
assert subprocess_calls == [
(
["uv", "run", "plot"],
{"capture_output": False, "text": True, "check": True},
)
]
def test_configured_project_declarative_flow(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
monkeypatch.chdir(tmp_path)
(tmp_path / "pyproject.toml").write_text(
'[tool.crewai]\ntype = "flow"\ndefinition = " flow.yaml "\n',
encoding="utf-8",
)
from crewai_cli.run_declarative_flow import configured_project_declarative_flow
assert configured_project_declarative_flow() == "flow.yaml"

View File

@@ -568,3 +568,131 @@ def test_has_json_crew_true_without_pyproject(monkeypatch, tmp_path: Path):
(tmp_path / "crew.jsonc").write_text("{}")
assert run_crew_module._has_json_crew() is True
def test_run_crew_rejects_inputs_without_definition():
with pytest.raises(click.UsageError) as exc_info:
run_crew_module.run_crew(inputs='{"topic":"AI"}')
assert "--inputs requires --definition" in exc_info.value.message
def test_run_crew_rejects_filename_with_explicit_definition():
with pytest.raises(click.UsageError) as exc_info:
run_crew_module.run_crew(
trained_agents_file="trained.pkl",
definition="flow.yaml",
)
assert "--filename can only be used when running crews" in exc_info.value.message
def test_run_crew_runs_explicit_declarative_definition(monkeypatch, capsys):
calls = []
def fake_run_declarative_flow(definition: str, inputs: str | None = None):
calls.append((definition, inputs))
monkeypatch.setattr(
"crewai_cli.run_declarative_flow.run_declarative_flow",
fake_run_declarative_flow,
)
run_crew_module.run_crew(definition="flow.yaml", inputs='{"topic":"AI"}')
captured = capsys.readouterr()
assert "experimental" not in captured.out.lower()
assert calls == [("flow.yaml", '{"topic":"AI"}')]
def test_run_crew_runs_classic_crew_project(monkeypatch, capsys):
calls = []
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
run_crew_module,
"read_toml",
lambda: {"tool": {"crewai": {"type": "crew"}}},
)
monkeypatch.setattr(
run_crew_module,
"_execute_uv_script",
lambda script_name, **kwargs: calls.append((script_name, kwargs)),
)
run_crew_module.run_crew(trained_agents_file="trained.pkl")
assert capsys.readouterr().out == ""
assert calls == [
(
"run_crew",
{"entity_type": "crew", "trained_agents_file": "trained.pkl"},
)
]
def test_run_crew_runs_python_flow_project(monkeypatch, capsys):
calls = []
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
run_crew_module,
"read_toml",
lambda: {"tool": {"crewai": {"type": "flow"}}},
)
monkeypatch.setattr(
run_crew_module,
"_execute_uv_script",
lambda script_name, **kwargs: calls.append((script_name, kwargs)),
)
run_crew_module.run_crew()
assert capsys.readouterr().out == ""
assert calls == [("kickoff", {"entity_type": "flow"})]
def test_run_crew_rejects_filename_for_flow_project(monkeypatch):
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
run_crew_module,
"read_toml",
lambda: {"tool": {"crewai": {"type": "flow"}}},
)
with pytest.raises(click.UsageError) as exc_info:
run_crew_module.run_crew(trained_agents_file="trained.pkl")
assert "--filename can only be used when running crews" in exc_info.value.message
def test_run_crew_runs_configured_declarative_flow_project(monkeypatch, capsys):
calls = []
monkeypatch.setattr(run_crew_module, "_has_json_crew", lambda: False)
monkeypatch.setattr(
run_crew_module,
"read_toml",
lambda: {
"tool": {
"crewai": {
"type": "flow",
"definition": "flow.yaml",
}
}
},
)
monkeypatch.setattr(
"crewai_cli.run_declarative_flow.run_declarative_flow_in_project_env",
lambda definition, inputs=None: calls.append((definition, inputs)),
)
monkeypatch.setattr(
run_crew_module,
"_execute_uv_script",
lambda *_args, **_kwargs: pytest.fail("declarative flows must not run kickoff"),
)
run_crew_module.run_crew()
assert capsys.readouterr().out == ""
assert calls == [("flow.yaml", None)]

View File

@@ -0,0 +1,148 @@
from __future__ import annotations
from pathlib import Path
import pytest
import crewai_cli.run_declarative_flow as run_declarative_flow_module
FLOW_YAML = """\
schema: crewai.flow/v1
name: TestFlow
config:
suppress_flow_events: true
methods:
begin:
start: true
do:
call: expression
expr: state.topic
"""
def test_run_declarative_flow_reads_definition_file(
tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(FLOW_YAML, encoding="utf-8")
run_declarative_flow_module.run_declarative_flow(
str(definition_path), '{"topic":"AI"}'
)
assert capsys.readouterr().out == "AI\n"
def test_run_declarative_flow_rejects_non_object_inputs(
tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(FLOW_YAML, encoding="utf-8")
with pytest.raises(SystemExit):
run_declarative_flow_module.run_declarative_flow(
str(definition_path), '["not", "an", "object"]'
)
assert "Invalid --inputs JSON: expected an object." in capsys.readouterr().err
def test_run_declarative_flow_reports_missing_file(
capsys: pytest.CaptureFixture[str],
) -> None:
with pytest.raises(SystemExit):
run_declarative_flow_module.run_declarative_flow("missing-flow.yaml")
assert (
"Invalid --definition path: missing-flow.yaml does not exist."
in capsys.readouterr().err
)
def test_run_declarative_flow_reports_empty_file(
tmp_path: Path, capsys: pytest.CaptureFixture[str]
) -> None:
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(" \n", encoding="utf-8")
with pytest.raises(SystemExit):
run_declarative_flow_module.run_declarative_flow(str(definition_path))
assert "Flow declaration file is empty" in capsys.readouterr().err
@pytest.mark.parametrize(
"contents, expected_error",
[
("[]\n", "Flow declaration must contain a mapping"),
("schema: crewai.flow/v1\nmethods: {}\n", "Field required"),
],
)
def test_load_declarative_flow_reports_invalid_declarations(
tmp_path: Path,
capsys: pytest.CaptureFixture[str],
contents: str,
expected_error: str,
) -> None:
definition_path = tmp_path / "flow.yaml"
definition_path.write_text(contents, encoding="utf-8")
with pytest.raises(SystemExit) as exc_info:
run_declarative_flow_module.load_declarative_flow(str(definition_path))
assert exc_info.value.code == 1
stderr = capsys.readouterr().err
assert f"Unable to read --definition path {definition_path}:" in stderr
assert expected_error in stderr
def test_run_declarative_flow_in_project_env_uses_uv(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
) -> None:
subprocess_calls = []
monkeypatch.chdir(tmp_path)
monkeypatch.delenv("UV_RUN_RECURSION_DEPTH", raising=False)
(tmp_path / "pyproject.toml").write_text("[project]\nname = 'demo'\n")
monkeypatch.setattr(
run_declarative_flow_module,
"build_env_with_all_tool_credentials",
lambda: {"EXISTING": "value"},
)
monkeypatch.setattr(
run_declarative_flow_module.subprocess,
"run",
lambda command, **kwargs: subprocess_calls.append((command, kwargs)),
)
run_declarative_flow_module.run_declarative_flow_in_project_env("flow.yaml")
assert subprocess_calls == [
(
["uv", "run", "crewai", "run"],
{
"capture_output": False,
"text": True,
"check": True,
"env": {"EXISTING": "value"},
},
)
]
def test_run_declarative_flow_in_process_inside_uv(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Path,
capsys: pytest.CaptureFixture[str],
) -> None:
monkeypatch.chdir(tmp_path)
monkeypatch.setenv("UV_RUN_RECURSION_DEPTH", "1")
(tmp_path / "pyproject.toml").write_text("[project]\nname = 'demo'\n")
(tmp_path / "flow.yaml").write_text(FLOW_YAML, encoding="utf-8")
run_declarative_flow_module.run_declarative_flow_in_project_env(
"flow.yaml", '{"topic":"AI"}'
)
assert capsys.readouterr().out == "AI\n"

View File

@@ -1,156 +0,0 @@
from __future__ import annotations
import json
import sys
import types
import pytest
import yaml
from crewai_cli.run_flow_definition import run_flow_definition
class _FakeFlow:
def __init__(self, definition):
self.definition = definition
def kickoff(self, inputs=None):
return {
"flow": self.definition["name"],
"inputs": inputs or {},
}
class _FakeFlowFactory:
@classmethod
def from_definition(cls, definition):
return _FakeFlow(definition)
class _FakeFlowDefinition:
@classmethod
def from_yaml(cls, source):
return yaml.safe_load(source)
@classmethod
def from_json(cls, source):
return json.loads(source)
@pytest.fixture
def fake_flow_runtime(monkeypatch):
crewai_module = types.ModuleType("crewai")
flow_package = types.ModuleType("crewai.flow")
flow_module = types.ModuleType("crewai.flow.flow")
flow_definition_module = types.ModuleType("crewai.flow.flow_definition")
flow_module.Flow = _FakeFlowFactory
flow_definition_module.FlowDefinition = _FakeFlowDefinition
monkeypatch.setitem(sys.modules, "crewai", crewai_module)
monkeypatch.setitem(sys.modules, "crewai.flow", flow_package)
monkeypatch.setitem(sys.modules, "crewai.flow.flow", flow_module)
monkeypatch.setitem(
sys.modules, "crewai.flow.flow_definition", flow_definition_module
)
def _captured_json(capsys):
return json.loads(capsys.readouterr().out)
def test_run_flow_definition_reads_definition_file(
tmp_path, capsys, fake_flow_runtime
):
definition_path = tmp_path / "flow.yaml"
definition_path.write_text("schema: crewai.flow/v1\nname: TestFlow\n")
run_flow_definition(str(definition_path), '{"topic":"AI"}')
assert _captured_json(capsys) == {
"flow": "TestFlow",
"inputs": {"topic": "AI"},
}
@pytest.mark.parametrize(
("definition_source", "expected_flow_name"),
[
pytest.param(
"schema: crewai.flow/v1\nname: InlineFlow\n",
"InlineFlow",
id="inline-yaml",
),
pytest.param(
'{"schema":"crewai.flow/v1","name":"InlineJsonFlow"}',
"InlineJsonFlow",
id="inline-json",
),
pytest.param(
'{"schema":"crewai.flow/v1","name":"' + ("JsonFlow" * 500) + '"}',
"JsonFlow" * 500,
id="large-inline-json",
),
],
)
def test_run_flow_definition_accepts_inline_definitions(
definition_source, expected_flow_name, capsys, fake_flow_runtime
):
run_flow_definition(definition_source)
assert _captured_json(capsys) == {"flow": expected_flow_name, "inputs": {}}
@pytest.mark.parametrize(
("filename", "definition_source", "expected_flow_name"),
[
pytest.param(
"flow.yaml",
"schema: crewai.flow/v1\nname: YamlFileFlow\n",
"YamlFileFlow",
id="yaml-file",
),
pytest.param(
"flow.json",
'{"schema":"crewai.flow/v1","name":"JsonFlow"}',
"JsonFlow",
id="json-file",
),
],
)
def test_run_flow_definition_accepts_definition_files(
filename, definition_source, expected_flow_name, tmp_path, capsys, fake_flow_runtime
):
definition_path = tmp_path / filename
definition_path.write_text(definition_source)
run_flow_definition(str(definition_path))
assert _captured_json(capsys) == {"flow": expected_flow_name, "inputs": {}}
def test_run_flow_definition_rejects_non_object_inputs(fake_flow_runtime, capsys):
with pytest.raises(SystemExit):
run_flow_definition("name: TestFlow", '["not", "an", "object"]')
assert "Invalid --inputs JSON: expected an object." in capsys.readouterr().err
def test_run_flow_definition_reports_unreadable_file(
monkeypatch, tmp_path, capsys, fake_flow_runtime
):
definition_path = tmp_path / "flow.yaml"
definition_path.write_text("schema: crewai.flow/v1\nname: TestFlow\n")
def raise_permission_error(self, *args, **kwargs):
raise PermissionError("no access")
monkeypatch.setattr("pathlib.Path.read_text", raise_permission_error)
with pytest.raises(SystemExit):
run_flow_definition(str(definition_path))
err = capsys.readouterr().err
assert "Unable to read --definition path" in err
assert str(definition_path) in err
assert "no access" in err

View File

@@ -16,9 +16,9 @@ dependencies = [
"pyjwt>=2.13.0,<3",
"pydantic>=2.11.9,<2.13",
"rich>=13.7.1",
"opentelemetry-api~=1.34.0",
"opentelemetry-sdk~=1.34.0",
"opentelemetry-exporter-otlp-proto-http~=1.34.0",
"opentelemetry-api~=1.42.0",
"opentelemetry-sdk~=1.42.0",
"opentelemetry-exporter-otlp-proto-http~=1.42.0",
"tomli~=2.0.2",
]

View File

@@ -1 +1 @@
__version__ = "1.14.8a2"
__version__ = "1.14.8a3"

View File

@@ -152,4 +152,4 @@ __all__ = [
"wrap_file_source",
]
__version__ = "1.14.8a2"
__version__ = "1.14.8a3"

View File

@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
dependencies = [
"pytube~=15.0.0",
"requests>=2.33.0,<3",
"crewai==1.14.8a2",
"crewai==1.14.8a3",
"tiktoken>=0.8.0,<0.13",
"beautifulsoup4~=4.13.4",
"python-docx~=1.2.0",

View File

@@ -330,4 +330,4 @@ __all__ = [
"ZapierActionTools",
]
__version__ = "1.14.8a2"
__version__ = "1.14.8a3"

View File

@@ -8,8 +8,8 @@ authors = [
]
requires-python = ">=3.10, <3.14"
dependencies = [
"crewai-core==1.14.8a2",
"crewai-cli==1.14.8a2",
"crewai-core==1.14.8a3",
"crewai-cli==1.14.8a3",
# Core Dependencies
"pydantic>=2.11.9,<2.13",
"openai>=2.30.0,<3",
@@ -18,9 +18,9 @@ dependencies = [
"pdfplumber~=0.11.4",
"regex~=2026.1.15",
# Telemetry and Monitoring
"opentelemetry-api~=1.34.0",
"opentelemetry-sdk~=1.34.0",
"opentelemetry-exporter-otlp-proto-http~=1.34.0",
"opentelemetry-api~=1.42.0",
"opentelemetry-sdk~=1.42.0",
"opentelemetry-exporter-otlp-proto-http~=1.42.0",
# Data Handling
"chromadb~=1.1.0",
"tokenizers>=0.21,<1",
@@ -55,7 +55,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
[project.optional-dependencies]
tools = [
"crewai-tools==1.14.8a2",
"crewai-tools==1.14.8a3",
]
embeddings = [
"tiktoken>=0.8.0,<0.13"

View File

@@ -48,7 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
_suppress_pydantic_deprecation_warnings()
__version__ = "1.14.8a2"
__version__ = "1.14.8a3"
_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
"Memory": ("crewai.memory.unified_memory", "Memory"),

View File

@@ -373,9 +373,6 @@ To enable tracing, do any one of these:
status: str = "running",
) -> None:
"""Show method status panel."""
if not self.verbose:
return
if status == "running":
style = "yellow"
panel_title = "🔄 Flow Method Running"

View File

@@ -8,8 +8,8 @@ from crewai.flow.dsl._types import FlowMethodDecorator, FlowTrigger
from crewai.flow.dsl._utils import (
P,
R,
_merge_flow_method_definition,
_method_action,
_set_flow_method_definition,
)
from crewai.flow.flow_definition import FlowMethodDefinition
from crewai.flow.flow_wrappers import ListenMethod
@@ -45,7 +45,7 @@ def listen(condition: FlowTrigger) -> FlowMethodDecorator:
def decorator(func: Callable[P, R]) -> ListenMethod[P, R]:
wrapper = ListenMethod(func)
_set_flow_method_definition(
_merge_flow_method_definition(
wrapper,
FlowMethodDefinition(
do=_method_action(func),

View File

@@ -19,8 +19,8 @@ from crewai.flow.dsl._types import FlowMethodDecorator, FlowTrigger
from crewai.flow.dsl._utils import (
P,
R,
_merge_flow_method_definition,
_method_action,
_set_flow_method_definition,
)
from crewai.flow.flow_definition import FlowMethodDefinition
from crewai.flow.flow_wrappers import RouterMethod
@@ -95,7 +95,7 @@ def _normalize_router_emit(value: Sequence[Any] | str) -> list[str]:
def router(
condition: FlowTrigger,
condition: FlowTrigger | None = None,
*,
emit: Sequence[str] | str | None = None,
) -> FlowMethodDecorator:
@@ -107,6 +107,7 @@ def router(
Args:
condition: Specifies when the router should execute. Can be:
- None: no listen trigger, used when stacking with @start() or @listen()
- str: Route label or method name that triggers this router
- FlowCondition: Result from or_() or and_(), including nested conditions
- Flow method reference: A method whose completion triggers this router
@@ -146,14 +147,17 @@ def router(
else:
router_events = _get_router_return_events(func) or []
_set_flow_method_definition(
method_definition_kwargs: dict[str, Any] = {
"do": _method_action(func),
"router": True,
"emit": router_events or None,
}
if condition is not None:
method_definition_kwargs["listen"] = _to_definition_condition(condition)
_merge_flow_method_definition(
wrapper,
FlowMethodDefinition(
do=_method_action(func),
listen=_to_definition_condition(condition),
router=True,
emit=router_events or None,
),
FlowMethodDefinition(**method_definition_kwargs),
)
return wrapper

View File

@@ -8,8 +8,8 @@ from crewai.flow.dsl._types import FlowMethodDecorator, FlowTrigger
from crewai.flow.dsl._utils import (
P,
R,
_merge_flow_method_definition,
_method_action,
_set_flow_method_definition,
)
from crewai.flow.flow_definition import FlowMethodDefinition
from crewai.flow.flow_wrappers import StartMethod
@@ -54,7 +54,7 @@ def start(
def decorator(func: Callable[P, R]) -> StartMethod[P, R]:
wrapper = StartMethod(func)
_set_flow_method_definition(
_merge_flow_method_definition(
wrapper,
FlowMethodDefinition(
do=_method_action(func),

View File

@@ -106,6 +106,25 @@ def _get_flow_method_definition(method: Any) -> FlowMethodDefinition | None:
return None
def _merge_flow_method_definition(
wrapper: FlowMethod[P, R],
definition: FlowMethodDefinition,
) -> None:
existing = _get_flow_method_definition(wrapper)
if existing is None:
_set_flow_method_definition(wrapper, definition)
return
updates = {
field_name: getattr(definition, field_name)
for field_name in definition.model_fields_set
}
_set_flow_method_definition(
wrapper,
existing.model_copy(deep=True, update=updates),
)
def _is_json_serializable(value: Any) -> bool:
try:
json.dumps(value)

View File

@@ -1,7 +1,7 @@
"""Flow Structure: the serializable, language-agnostic Flow contract.
"""Flow Definition: the serializable, declarative Flow contract.
Defines :class:`FlowDefinition` and its sub-models — a static, textual
(JSON/YAML) representation of a Flow: its methods, trigger conditions,
Defines :class:`FlowDefinition` and its sub-models — a static declarative
representation of a Flow: its methods, trigger conditions,
state, and configuration. It is independent of the Python authoring
layer that may have produced it and of the engine that runs it (see
``runtime``).
@@ -11,6 +11,7 @@ from __future__ import annotations
import json
import logging
from pathlib import Path
import re
from typing import Annotated, Any, Literal, TypeAlias, cast
@@ -18,6 +19,7 @@ from pydantic import (
BaseModel,
ConfigDict,
Field,
PrivateAttr,
field_serializer,
model_validator,
)
@@ -233,7 +235,7 @@ class FlowPersistenceDefinition(BaseModel):
``persistence`` may hold a live backend when the definition is built from
a decorated class — the engine then persists through the exact instance
the user configured; the JSON/YAML projection degrades it to its
the user configured; the declarative projection degrades it to its
serialized config.
"""
@@ -273,7 +275,7 @@ class FlowHumanFeedbackDefinition(BaseModel):
"""Static human feedback configuration.
``llm`` and ``provider`` may hold live Python objects when the definition
is built from a decorated class; the JSON/YAML projection degrades them to
is built from a decorated class; the declarative projection degrades them to
a serialized config (``llm``) or a ``module:qualname`` ref (``provider``).
"""
@@ -406,10 +408,19 @@ class FlowCrewActionDefinition(BaseModel):
)
call: Literal["crew"] = Field(
description="Action discriminator. Use crew to run an inline Crew definition.",
description=(
"Action discriminator. Use crew to run an inline or referenced Crew "
"definition."
),
examples=["crew"],
)
with_: CrewDefinition = Field(
from_declaration: str | None = Field(
default=None,
description="Path to a JSON/JSONC Crew declaration file or folder.",
examples=["crews/research_crew"],
)
with_: CrewDefinition | None = Field(
default=None,
alias="with",
description="Inline Crew definition to load and execute for this action.",
examples=[
@@ -430,10 +441,26 @@ class FlowCrewActionDefinition(BaseModel):
"agent": "researcher",
}
],
"inputs": {"topic": "${state.topic}"},
}
],
)
inputs: dict[str, ExpressionData] | None = Field(
default=None,
description=(
"Input overrides passed to the Crew. String values are evaluated as CEL "
"only when the trimmed value starts with ${ and ends with }; all other "
"values are literal."
),
examples=[{"topic": "${state.topic}"}],
)
@model_validator(mode="after")
def _validate_crew_source(self) -> FlowCrewActionDefinition:
if bool(self.from_declaration) == (self.with_ is not None):
raise ValueError(
"crew action requires exactly one of from_declaration or with"
)
return self
class FlowAgentActionDefinition(BaseModel):
@@ -684,10 +711,12 @@ class FlowDefinition(BaseModel):
arbitrary_types_allowed=True,
)
_source_path: Path | None = PrivateAttr(default=None)
schema_: Literal["crewai.flow/v1"] = Field(
default="crewai.flow/v1",
alias="schema",
description="Flow Definition schema identifier and version.",
description="Declarative Flow schema identifier and version.",
examples=["crewai.flow/v1"],
)
name: str = Field(
@@ -748,7 +777,7 @@ class FlowDefinition(BaseModel):
return self
def to_dict(self, *, exclude_none: bool = True) -> dict[str, Any]:
"""Serialize the definition to a JSON/YAML-ready dictionary."""
"""Serialize the definition to a declaration-ready dictionary."""
return self.model_dump(by_alias=True, exclude_none=exclude_none, mode="json")
def to_json(self, *, indent: int | None = 2, exclude_none: bool = True) -> str:
@@ -764,29 +793,66 @@ class FlowDefinition(BaseModel):
allow_unicode=True,
)
@property
def source_path(self) -> Path | None:
"""Original definition file path, when loaded from a file."""
return self._source_path
@property
def source_dir(self) -> Path | None:
"""Directory used to resolve relative paths in the definition."""
if self._source_path is None:
return None
return self._source_path.parent
@classmethod
def from_dict(cls, data: dict[str, Any]) -> FlowDefinition:
def from_dict(
cls, data: dict[str, Any], *, source_path: Path | None = None
) -> FlowDefinition:
"""Load a definition from a dictionary."""
definition = cls.model_validate(data)
if source_path is not None:
definition._source_path = source_path.expanduser().resolve()
log_flow_definition_issues(definition)
return definition
@classmethod
def from_json(cls, data: str) -> FlowDefinition:
"""Load a definition from JSON."""
return cls.from_dict(json.loads(data))
def from_declaration(
cls,
*,
contents: FlowDefinition | str | dict[str, Any] | None = None,
path: Path | str | None = None,
) -> FlowDefinition:
"""Load a declarative flow from contents or a file path."""
if isinstance(contents, cls):
return contents
@classmethod
def from_yaml(cls, data: str) -> FlowDefinition:
"""Load a definition from YAML."""
loaded = yaml.safe_load(data) or {}
source_path: Path | None = None
if contents is None:
if path is None:
raise ValueError("Provide contents or path")
source_path = Path(path)
contents = source_path.expanduser().read_text(encoding="utf-8")
if isinstance(contents, dict):
return cls.from_dict(contents)
if not isinstance(contents, str):
raise TypeError("Flow declaration contents must be a string or dictionary")
if not contents.strip():
if source_path is not None:
raise ValueError(f"Flow declaration file is empty: {source_path}")
raise ValueError("Flow declaration contents are empty")
loaded = yaml.safe_load(contents)
if not isinstance(loaded, dict):
raise ValueError("Flow definition YAML must contain a mapping")
return cls.from_dict(loaded)
raise ValueError("Flow declaration must contain a mapping")
return cls.from_dict(loaded, source_path=source_path)
@classmethod
def json_schema(cls) -> dict[str, Any]:
"""Return the JSON Schema for the Flow Definition contract."""
"""Return the JSON Schema for the declarative Flow contract."""
return cls.model_json_schema(by_alias=True)
@@ -826,10 +892,16 @@ def _validate_action_cel(
return
if isinstance(action, FlowCrewActionDefinition):
Expression(cast(ExpressionData, action.with_.inputs)).validate_template(
allowed_roots=allowed_roots,
source=f"{path}.with.inputs",
)
if action.with_ is not None:
Expression(cast(ExpressionData, action.with_.inputs)).validate_template(
allowed_roots=allowed_roots,
source=f"{path}.with.inputs",
)
if action.inputs is not None:
Expression(cast(ExpressionData, action.inputs)).validate_template(
allowed_roots=allowed_roots,
source=f"{path}.inputs",
)
return
if isinstance(action, FlowAgentActionDefinition):
@@ -870,14 +942,6 @@ def _validate_action_cel(
def log_flow_definition_issues(definition: FlowDefinition) -> None:
for method_name, method in definition.methods.items():
path = f"methods.{method_name}"
if method.router and not method.is_start and method.listen is None:
_log_flow_definition_issue(
definition.name,
code="router_without_trigger",
severity="error",
path=path,
message="router: true requires either start or listen",
)
if method.emit and not method.router:
_log_flow_definition_issue(
definition.name,

View File

@@ -25,6 +25,7 @@ from datetime import datetime
import enum
import inspect
import logging
from pathlib import Path
import threading
from typing import (
TYPE_CHECKING,
@@ -769,6 +770,21 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
@classmethod
def from_definition(cls, definition: FlowDefinition, **kwargs: Any) -> Flow[Any]:
"""Build a runnable Flow directly from a definition; no subclass required."""
return cls.from_declaration(contents=definition, **kwargs)
@classmethod
def from_declaration(
cls,
*,
contents: FlowDefinition | str | dict[str, Any] | None = None,
path: Path | str | None = None,
**kwargs: Any,
) -> Flow[Any]:
"""Build a runnable declarative flow from contents or a file path."""
definition = FlowDefinition.from_declaration(
contents=contents,
path=path,
)
return cls.model_validate(
{**definition.config.model_dump(), **kwargs},
context={"flow_definition": definition},
@@ -2455,11 +2471,6 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
object.__setattr__(
self, "_deferred_flow_started_event_id", started_event.event_id
)
if not self.suppress_flow_events:
self._log_flow_event(
f"Flow started with ID: {self.flow_id}", color="bold magenta"
)
# After FlowStarted: env events must not pre-empt trace batch init
# with implicit "crew" execution_type.
get_env_context()
@@ -3007,6 +3018,7 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
"""
# First, handle routers repeatedly until no router triggers anymore
router_results = []
router_result_payloads: dict[str, Any] = {}
router_result_to_feedback: dict[
str, Any
] = {} # Map outcome -> HumanFeedbackResult
@@ -3044,6 +3056,11 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
router_result_str = str(router_result)
router_result_event = FlowMethodName(router_result_str)
router_results.append(router_result_event)
router_result_payloads[router_result_str] = (
self.last_human_feedback
if self.last_human_feedback is not None
else router_result
)
if self.last_human_feedback is not None:
router_result_to_feedback[router_result_str] = (
@@ -3064,7 +3081,7 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
current_trigger, router_only=False
)
if listeners_triggered:
listener_result = router_result_to_feedback.get(
listener_result = router_result_payloads.get(
str(current_trigger), result
)
racing_group = self._get_racing_group_for_listeners(

View File

@@ -8,6 +8,7 @@ from collections.abc import Awaitable, Callable
import contextvars
import inspect
import os
from pathlib import Path
from typing import TYPE_CHECKING, Any, Protocol, cast
from crewai.flow.expressions import Expression, ExpressionData
@@ -128,16 +129,34 @@ class CrewAction:
self.definition = definition
async def run(self, *_args: Any, **kwargs: Any) -> Any:
from crewai.project.crew_loader import load_crew_from_definition
from crewai.project.crew_loader import load_crew, load_crew_from_definition
local_context = _pop_local_context(kwargs)
crew_definition = self.definition.with_
if self.definition.from_declaration is not None:
crew, default_inputs = load_crew(
_resolve_crew_declaration(
self.definition.from_declaration,
base_dir=self.flow._definition.source_dir,
)
)
input_template = {**default_inputs, **(self.definition.inputs or {})}
else:
crew_definition = self.definition.with_
if crew_definition is None:
raise ValueError(
"crew action requires exactly one of from_declaration or with"
)
input_template = {
**crew_definition.inputs,
**(self.definition.inputs or {}),
}
crew, _ = load_crew_from_definition(crew_definition, source="crew action")
inputs = Expression.from_flow(
cast(ExpressionData, crew_definition.inputs),
cast(ExpressionData, input_template),
self.flow,
local_context=local_context,
).render_template()
crew, _ = load_crew_from_definition(crew_definition, source="crew action")
return await crew.kickoff_async(inputs=inputs)
@@ -359,3 +378,29 @@ def _pop_local_context(kwargs: dict[str, Any]) -> LocalContext | None:
if not isinstance(local_context, dict):
raise TypeError("flow definition local context must be a mapping")
return cast(LocalContext, local_context)
def _resolve_crew_declaration(
from_declaration: str, *, base_dir: Path | None = None
) -> Path:
path = Path(from_declaration).expanduser()
if base_dir is not None:
resolved_base_dir = base_dir.expanduser().resolve()
if not path.is_absolute():
path = resolved_base_dir / path
resolved_path = path.resolve()
if not resolved_path.is_relative_to(resolved_base_dir):
raise ValueError(
"crew declaration path must be within the flow definition directory"
)
path = resolved_path
if not path.is_dir():
return path
for name in ("crew.jsonc", "crew.json"):
candidate = path / name
if candidate.is_file():
return candidate
return path / "crew.jsonc"

View File

@@ -11,11 +11,10 @@ import pytest
from crewai_cli.cli import run
from crewai_cli.run_crew import (
CrewType,
_execute_uv_script,
_load_json_crew_for_tui,
_missing_input_names,
_prompt_for_missing_inputs,
execute_command,
)
@@ -30,6 +29,8 @@ def test_run_passes_filename_to_run_crew(run_crew_mock: mock.Mock, runner: CliRu
run_crew_mock.assert_called_once_with(
trained_agents_file="my_custom_trained.pkl",
definition=None,
inputs=None,
)
assert result.exit_code == 0
@@ -38,7 +39,11 @@ def test_run_passes_filename_to_run_crew(run_crew_mock: mock.Mock, runner: CliRu
def test_run_without_filename_passes_none(run_crew_mock: mock.Mock, runner: CliRunner) -> None:
result = runner.invoke(run)
run_crew_mock.assert_called_once_with(trained_agents_file=None)
run_crew_mock.assert_called_once_with(
trained_agents_file=None,
definition=None,
inputs=None,
)
assert result.exit_code == 0
@@ -50,7 +55,11 @@ def test_run_without_filename_passes_none(run_crew_mock: mock.Mock, runner: CliR
def test_execute_command_sets_env_var_when_filename_provided(
_build_env: mock.Mock, subprocess_run: mock.Mock
) -> None:
execute_command(CrewType.STANDARD, trained_agents_file="my_custom_trained.pkl")
_execute_uv_script(
"run_crew",
entity_type="crew",
trained_agents_file="my_custom_trained.pkl",
)
_, kwargs = subprocess_run.call_args
assert kwargs["env"]["CREWAI_TRAINED_AGENTS_FILE"] == "my_custom_trained.pkl"
@@ -65,7 +74,7 @@ def test_execute_command_sets_env_var_when_filename_provided(
def test_execute_command_omits_env_var_when_filename_absent(
_build_env: mock.Mock, subprocess_run: mock.Mock
) -> None:
execute_command(CrewType.STANDARD)
_execute_uv_script("run_crew", entity_type="crew")
_, kwargs = subprocess_run.call_args
assert "CREWAI_TRAINED_AGENTS_FILE" not in kwargs["env"]

View File

@@ -386,6 +386,54 @@ def test_router_runtime_uses_flow_definition_without_legacy_router_metadata():
assert execution_order == ["begin", "decide", "handle_left"]
def test_start_router_runtime_routes_public_dsl_return_value():
execution_order = []
class StartRouterFlow(Flow):
@start()
@router(emit=["continue"])
def decide(self):
execution_order.append("decide")
return "continue"
@listen("continue")
def handle_continue(self, result):
execution_order.append(f"handle_continue:{result}")
return "done"
assert StartRouterFlow().kickoff() == "done"
assert execution_order == ["decide", "handle_continue:continue"]
def test_start_router_runtime_chains_to_stacked_listener_router():
execution_order = []
class ChainedStartRouterFlow(Flow):
@start()
@router(emit=["approved", "not_approved"])
def first_router(self):
execution_order.append("first_router")
return "approved"
@listen("approved")
@router(emit=["second_approval", "not_approved"])
def second_router(self):
execution_order.append("second_router")
return "second_approval"
@listen("second_approval")
def handle_second_approval(self, result):
execution_order.append(f"handle_second_approval:{result}")
return "done"
assert ChainedStartRouterFlow().kickoff() == "done"
assert execution_order == [
"first_router",
"second_router",
"handle_second_approval:second_approval",
]
def test_router_falsy_result_emits_runtime_event():
execution_order = []

View File

@@ -565,7 +565,55 @@ def test_flow_definition_classifies_start_router_from_human_feedback_emit():
assert entry_point.emit is None
def test_flow_definition_round_trips_json_and_yaml():
def test_flow_definition_classifies_public_dsl_start_router():
class StartRouterFlow(Flow):
@start()
@router(emit=["continue", "stop"])
def entry_point(self):
return "continue"
@router(emit=["resume"])
@start()
def alternate_entry_point(self):
return "resume"
entry_point = StartRouterFlow.flow_definition().methods["entry_point"]
alternate_entry_point = StartRouterFlow.flow_definition().methods[
"alternate_entry_point"
]
assert entry_point.is_start is True
assert entry_point.router is True
assert entry_point.listen is None
assert entry_point.emit == ["continue", "stop"]
assert alternate_entry_point.is_start is True
assert alternate_entry_point.router is True
assert alternate_entry_point.listen is None
assert alternate_entry_point.emit == ["resume"]
def test_flow_definition_merges_stacked_listen_router():
class ChainedRouterFlow(Flow):
@start()
@router(emit=["approved", "not_approved"])
def first_router(self):
return "approved"
@listen("approved")
@router(emit=["second_approval", "not_approved"])
def second_router(self):
return "second_approval"
methods = ChainedRouterFlow.flow_definition().methods
assert methods["first_router"].is_start is True
assert methods["first_router"].listen is None
assert methods["second_router"].router is True
assert methods["second_router"].listen == "approved"
assert methods["second_router"].emit == ["second_approval", "not_approved"]
def test_flow_definition_round_trips_declaration_serialization():
class RoundTripFlow(Flow):
@start()
def begin(self):
@@ -581,16 +629,122 @@ def test_flow_definition_round_trips_json_and_yaml():
definition = RoundTripFlow.flow_definition()
json_round_trip = flow_definition.FlowDefinition.from_json(definition.to_json())
yaml_round_trip = flow_definition.FlowDefinition.from_yaml(definition.to_yaml())
round_trips = [
flow_definition.FlowDefinition.from_declaration(contents=definition.to_json()),
flow_definition.FlowDefinition.from_declaration(contents=definition.to_yaml()),
]
assert json_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.methods["decide"].router is True
assert yaml_round_trip.methods["decide"].listen == "begin"
for round_trip in round_trips:
assert round_trip.to_dict() == definition.to_dict()
assert round_trip.methods["decide"].router is True
assert round_trip.methods["decide"].listen == "begin"
def test_each_action_round_trips_json_and_yaml():
def test_flow_definition_from_declaration_accepts_contents():
data = {
"schema": "crewai.flow/v1",
"name": "DeclarationFlow",
"methods": {
"begin": {
"start": True,
"do": {
"call": "expression",
"expr": "'started'",
},
},
},
}
definition = flow_definition.FlowDefinition.from_dict(data)
contents = [
definition,
data,
definition.to_json(),
definition.to_yaml(),
]
expected = definition.to_dict()
for content in contents:
loaded = flow_definition.FlowDefinition.from_declaration(contents=content)
assert loaded.to_dict() == expected
def test_flow_definition_from_declaration_rejects_empty_file(tmp_path: Path):
declaration_path = tmp_path / "flow.crewai"
declaration_path.write_text(" \n", encoding="utf-8")
with pytest.raises(ValueError, match="Flow declaration file is empty"):
flow_definition.FlowDefinition.from_declaration(path=declaration_path)
@pytest.mark.parametrize("contents", ["[]", "false", "0", "null", "~"])
def test_flow_definition_from_declaration_rejects_falsey_non_mapping_contents(
contents: str,
):
with pytest.raises(ValueError, match="Flow declaration must contain a mapping"):
flow_definition.FlowDefinition.from_declaration(contents=contents)
def test_flow_definition_from_declaration_accepts_paths(tmp_path: Path):
definition = flow_definition.FlowDefinition.from_dict(
{
"schema": "crewai.flow/v1",
"name": "DeclarationFlow",
"methods": {
"begin": {
"start": True,
"do": {
"call": "expression",
"expr": "'started'",
},
},
},
}
)
declaration_path = tmp_path / "flow.crewai"
declaration_path.write_text(definition.to_yaml(), encoding="utf-8")
path_inputs = [
declaration_path,
str(declaration_path),
]
for path_input in path_inputs:
loaded = flow_definition.FlowDefinition.from_declaration(path=path_input)
assert loaded.to_dict() == definition.to_dict()
assert loaded.source_path == declaration_path.resolve()
def test_flow_definition_from_declaration_requires_input():
with pytest.raises(ValueError, match="Provide contents or path"):
flow_definition.FlowDefinition.from_declaration()
def test_flow_definition_from_declaration_prefers_contents_over_path(
tmp_path: Path,
):
data = {
"schema": "crewai.flow/v1",
"name": "ContentsFlow",
"methods": {
"begin": {
"start": True,
"do": {"call": "expression", "expr": "'started'"},
},
},
}
declaration_path = tmp_path / "missing.crewai"
loaded = flow_definition.FlowDefinition.from_declaration(
contents=data,
path=declaration_path,
)
assert loaded.name == "ContentsFlow"
assert loaded.source_path is None
def test_each_action_round_trips_declaration_serialization():
definition = flow_definition.FlowDefinition.from_dict(
{
"schema": "crewai.flow/v1",
@@ -629,15 +783,17 @@ def test_each_action_round_trips_json_and_yaml():
}
)
json_round_trip = flow_definition.FlowDefinition.from_json(definition.to_json())
yaml_round_trip = flow_definition.FlowDefinition.from_yaml(definition.to_yaml())
round_trips = [
flow_definition.FlowDefinition.from_declaration(contents=definition.to_json()),
flow_definition.FlowDefinition.from_declaration(contents=definition.to_yaml()),
]
assert json_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.to_dict() == definition.to_dict()
assert yaml_round_trip.methods["process_rows"].description == (
"Process every loaded row."
)
assert yaml_round_trip.methods["process_rows"].do.call == "each"
for round_trip in round_trips:
assert round_trip.to_dict() == definition.to_dict()
assert round_trip.methods["process_rows"].description == (
"Process every loaded row."
)
assert round_trip.methods["process_rows"].do.call == "each"
def test_flow_definition_rejects_invalid_method_names():
@@ -883,7 +1039,7 @@ def test_flow_definition_ignores_legacy_diagnostics_loaded_from_contract():
assert "diagnostics" not in definition.to_dict()
def test_router_start_false_without_listen_logs_missing_trigger(caplog):
def test_router_start_false_without_listen_is_allowed(caplog):
caplog.set_level(logging.ERROR, logger="crewai.flow.flow_definition")
flow_definition.FlowDefinition.from_dict(
@@ -901,12 +1057,7 @@ def test_router_start_false_without_listen_logs_missing_trigger(caplog):
}
)
assert any(
record.levelno == logging.ERROR
and "router_without_trigger" in record.message
and "methods.decision" in record.message
for record in caplog.records
)
assert not caplog.records
def test_router_human_feedback_preserves_existing_router_metadata():
@@ -1048,7 +1199,7 @@ def test_flow_definition_cache_is_not_reused_by_subclasses():
assert set(child_definition.methods) == {"child_step"}
def test_flow_definition_logs_validation_issues_when_loaded_from_contract(caplog):
def test_flow_definition_allows_router_without_trigger(caplog):
caplog.set_level(logging.WARNING, logger="crewai.flow.flow_definition")
flow_definition.FlowDefinition.from_dict(
@@ -1065,9 +1216,11 @@ def test_flow_definition_logs_validation_issues_when_loaded_from_contract(caplog
}
)
assert any(
record.levelno == logging.ERROR
and "LoadedFlow" in record.message
and "router_without_trigger" in record.message
for record in caplog.records
)
class StandaloneRouterFlow(Flow):
@router(emit=["continue"])
def decision(self):
return "continue"
StandaloneRouterFlow.flow_definition()
assert not caplog.records

View File

@@ -454,7 +454,7 @@ def assert_parity(flow_cls, yaml_str, inputs=None, ordered=True):
class_flow = flow_cls()
class_result, class_events = _run_with_events(class_flow, inputs)
definition = FlowDefinition.from_yaml(yaml_str)
definition = FlowDefinition.from_declaration(contents=yaml_str)
definition_flow = Flow.from_definition(definition)
definition_result, definition_events = _run_with_events(definition_flow, inputs)
@@ -477,6 +477,21 @@ def test_simple_chain_parity():
assert flow.method_outputs == ["hello", "HELLO", "confirmed:True"]
def test_flow_from_declaration_builds_runnable_flow():
flow = Flow.from_declaration(contents=CHAIN_YAML)
assert flow.kickoff() == "confirmed:True"
assert flow.method_outputs == ["hello", "HELLO", "confirmed:True"]
def test_flow_from_declaration_accepts_flow_definition():
definition = FlowDefinition.from_declaration(contents=CHAIN_YAML)
flow = Flow.from_declaration(contents=definition)
assert flow.kickoff() == "confirmed:True"
assert flow.method_outputs == ["hello", "HELLO", "confirmed:True"]
def test_and_or_merge_parity():
flow, _ = assert_parity(MergeFlow, MERGE_YAML, ordered=False)
assert flow.state["joined"] is True
@@ -499,7 +514,7 @@ def test_cyclic_flow_parity():
def test_definition_flow_events_use_definition_name():
definition = FlowDefinition.from_yaml(CHAIN_YAML)
definition = FlowDefinition.from_declaration(contents=CHAIN_YAML)
flow = Flow.from_definition(definition)
_, events = _run_with_events(flow)
assert events
@@ -588,7 +603,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "found:ai agents"
@@ -639,7 +654,7 @@ methods:
listen: begin
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"topic": "ai"}) == "found:ai agents"
@@ -758,7 +773,7 @@ methods:
listen: begin
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "search:hello agents"
@@ -783,7 +798,7 @@ methods:
listen: build_query
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "found:ai agents news"
@@ -803,7 +818,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert (
flow.kickoff(inputs={"limit": 2, "domains": ["crewai.com", "example.com"]})
@@ -836,7 +851,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"question": "What is CrewAI?"}) == {
"agent": "Analyst",
@@ -874,7 +889,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"questions": ["one", "two"]}) == [
"Analyst:one",
@@ -905,7 +920,7 @@ def test_agent_action_round_trips_with_inline_definition():
}
)
round_trip = FlowDefinition.from_yaml(definition.to_yaml())
round_trip = FlowDefinition.from_declaration(contents=definition.to_yaml())
action = round_trip.to_dict()["methods"]["answer"]["do"]
assert action["call"] == "agent"
@@ -968,7 +983,7 @@ methods:
"""
with pytest.raises(ValidationError, match="invalid CEL expression"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_crew_action_runs_inline_yaml_definition(monkeypatch: pytest.MonkeyPatch):
@@ -1005,12 +1020,12 @@ methods:
description: Research {topic}
expected_output: Findings about {topic}
agent: researcher
inputs:
topic: "${state.topic}"
inputs:
topic: "${state.topic}"
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"topic": "AI"}) == {
"crew": "inline_research",
@@ -1020,6 +1035,180 @@ methods:
}
def test_crew_action_runs_crew_from_declaration(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
):
from crewai import Crew
project_root = tmp_path / "project"
crew_root = project_root / "crews" / "research_crew"
agents_root = crew_root / "agents"
agents_root.mkdir(parents=True)
(agents_root / "researcher.jsonc").write_text(
"""
{
"role": "Researcher",
"goal": "Research {topic}",
"backstory": "Knows things."
}
""",
encoding="utf-8",
)
(crew_root / "crew.jsonc").write_text(
"""
{
"name": "referenced_research",
"agents": ["researcher"],
"tasks": [
{
"name": "research_task",
"description": "Research {topic}",
"expected_output": "Findings about {topic}",
"agent": "researcher"
}
],
"inputs": {
"topic": "Default topic",
"audience": "developers"
}
}
""",
encoding="utf-8",
)
async def fake_kickoff_async(
self: Crew, inputs: dict[str, Any] | None = None, **_kwargs: Any
) -> dict[str, Any]:
return {
"crew": self.name,
"tasks": [task.description for task in self.tasks],
"inputs": inputs,
}
monkeypatch.setattr(Crew, "kickoff_async", fake_kickoff_async)
monkeypatch.chdir(project_root)
yaml_str = """
schema: crewai.flow/v1
name: CrewFlow
methods:
research:
do:
call: crew
from_declaration: crews/research_crew
inputs:
topic: "${state.topic}"
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"topic": "AI"}) == {
"crew": "referenced_research",
"tasks": ["Research {topic}"],
"inputs": {"topic": "AI", "audience": "developers"},
}
def test_crew_action_from_declaration_resolves_relative_to_flow_file(
monkeypatch: pytest.MonkeyPatch, tmp_path: Path
):
from crewai import Crew
project_root = tmp_path / "project"
crew_root = project_root / "crews" / "research_crew"
agents_root = crew_root / "agents"
agents_root.mkdir(parents=True)
(agents_root / "researcher.jsonc").write_text(
"""
{
"role": "Researcher",
"goal": "Research {topic}",
"backstory": "Knows things."
}
""",
encoding="utf-8",
)
(crew_root / "crew.jsonc").write_text(
"""
{
"name": "relative_research",
"agents": ["researcher"],
"tasks": [
{
"description": "Research {topic}",
"expected_output": "Findings about {topic}",
"agent": "researcher"
}
],
"inputs": {
"topic": "Default topic"
}
}
""",
encoding="utf-8",
)
async def fake_kickoff_async(
self: Crew, inputs: dict[str, Any] | None = None, **_kwargs: Any
) -> dict[str, Any]:
return {"crew": self.name, "inputs": inputs}
monkeypatch.setattr(Crew, "kickoff_async", fake_kickoff_async)
flow_path = project_root / "flow.yaml"
yaml_str = """
schema: crewai.flow/v1
name: CrewFlow
methods:
research:
do:
call: crew
from_declaration: crews/research_crew
inputs:
topic: "${state.topic}"
start: true
"""
flow_path.write_text(yaml_str, encoding="utf-8")
other_cwd = tmp_path / "other"
other_cwd.mkdir()
monkeypatch.chdir(other_cwd)
flow = Flow.from_definition(FlowDefinition.from_declaration(path=flow_path))
assert flow.kickoff(inputs={"topic": "AI"}) == {
"crew": "relative_research",
"inputs": {"topic": "AI"},
}
def test_crew_action_from_declaration_rejects_paths_outside_flow_file(
tmp_path: Path,
):
flow_path = tmp_path / "project" / "flow.yaml"
flow_path.parent.mkdir()
yaml_str = """
schema: crewai.flow/v1
name: CrewFlow
methods:
research:
do:
call: crew
from_declaration: ../outside/crew.jsonc
start: true
"""
flow_path.write_text(yaml_str, encoding="utf-8")
flow = Flow.from_definition(FlowDefinition.from_declaration(path=flow_path))
with pytest.raises(
ValueError,
match="crew declaration path must be within the flow definition directory",
):
flow.kickoff()
def test_crew_action_round_trips_with_inline_definition():
definition = FlowDefinition.from_dict(
{
@@ -1047,8 +1236,8 @@ def test_crew_action_round_trips_with_inline_definition():
"agent": "researcher",
}
],
"inputs": {"topic": "${state.topic}"},
},
"inputs": {"topic": "${state.topic}"},
},
}
},
@@ -1062,6 +1251,9 @@ def test_crew_action_round_trips_with_inline_definition():
]["role"]
== "Researcher"
)
assert definition.to_dict()["methods"]["research"]["do"]["inputs"] == {
"topic": "${state.topic}"
}
def test_crew_action_normalizes_named_agent_list_definition():
@@ -1162,7 +1354,7 @@ def test_crew_action_rejects_incomplete_inline_agent_definition():
)
def test_crew_action_rejects_ref():
def test_crew_action_rejects_python_ref_field():
with pytest.raises(ValidationError, match="ref"):
FlowDefinition.from_dict(
{
@@ -1174,7 +1366,6 @@ def test_crew_action_rejects_ref():
"do": {
"call": "crew",
"ref": "project.crew:build_crew",
"with": {"inputs": {"topic": "AI"}},
},
}
},
@@ -1232,7 +1423,7 @@ methods:
"""
with pytest.raises(ValidationError, match="invalid CEL expression"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_code_action_renders_keyword_inputs():
@@ -1250,7 +1441,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"name": "hello"}) == "hello!"
@@ -1269,7 +1460,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"value": "ok"}) == "callable:ok"
@@ -1293,7 +1484,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == [
"normalized:a",
@@ -1320,7 +1511,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
caller_thread_id = threading.get_ident()
assert flow.kickoff(inputs={"rows": ["a"]}) == ["process_rows:a"]
@@ -1347,7 +1538,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == ["async:a", "async:b"]
@@ -1369,7 +1560,7 @@ methods:
FlowScriptExecutionDisabledError,
match="CREWAI_ALLOW_FLOW_SCRIPT_EXECUTION=1",
) as exc_info:
Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert "methods with unresolvable actions" not in str(exc_info.value)
@@ -1393,7 +1584,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"raw_score": 3.2}) == "rounded:4"
assert flow.state["rounded"] == 4
@@ -1422,7 +1613,7 @@ methods:
listen: seed
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff() == "alpha:alpha"
assert flow.state["input_matches_output"] is True
@@ -1460,7 +1651,7 @@ methods:
listen: seed
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": [" a ", " b "]}) == ["global:a", "global:b"]
@@ -1492,7 +1683,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == [
{"row": "a", "normalized": "saved:a"},
@@ -1521,7 +1712,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == ["a", "b"]
assert flow._method_outputs == [
@@ -1559,7 +1750,7 @@ methods:
listen: seed
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": ["a", "b"]}) == [
"local:a",
@@ -1598,7 +1789,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(
inputs={
@@ -1632,7 +1823,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(inputs={"rows": [{"kind": "keep", "value": "a"}]}) == ["a"]
@@ -1659,7 +1850,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert flow.kickoff(
inputs={
@@ -1689,7 +1880,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(ValueError, match="if expression must evaluate to a boolean"):
flow.kickoff(inputs={"rows": [{"value": "truthy"}]})
@@ -1719,7 +1910,7 @@ methods:
listen: process_rows
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
events = []
with crewai_event_bus.scoped_handlers():
@@ -1890,7 +2081,7 @@ methods:
start: true
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(RuntimeError, match="bad row"):
flow.kickoff(inputs={"rows": ["ok", "bad"]})
@@ -2011,7 +2202,7 @@ methods:
listen: right
"""
definition = FlowDefinition.from_yaml(yaml_str)
definition = FlowDefinition.from_declaration(contents=yaml_str)
assert Flow.from_definition(definition).kickoff(
inputs={"direction": "left"}
@@ -2034,7 +2225,7 @@ methods:
"""
with pytest.raises(ValidationError, match="invalid CEL expression"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_expression_action_rejects_unknown_cel_root():
@@ -2050,7 +2241,7 @@ methods:
"""
with pytest.raises(ValidationError, match="unknown CEL root"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_tool_action_requires_module_qualname_ref():
@@ -2084,14 +2275,16 @@ def test_pydantic_state_from_ref_parity():
def test_pydantic_state_default_overlay():
flow = Flow.from_definition(FlowDefinition.from_yaml(PYDANTIC_STATE_OVERLAY_YAML))
flow = Flow.from_definition(
FlowDefinition.from_declaration(contents=PYDANTIC_STATE_OVERLAY_YAML)
)
result = flow.kickoff()
assert result == "count=6"
assert flow.state.count == 6
def test_json_schema_state():
flow = Flow.from_definition(FlowDefinition.from_yaml(JSON_SCHEMA_STATE_YAML))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=JSON_SCHEMA_STATE_YAML))
result = flow.kickoff()
assert result == "count=1"
assert flow.state.count == 1
@@ -2100,14 +2293,14 @@ def test_json_schema_state():
def test_json_schema_state_validates_inputs():
flow = Flow.from_definition(FlowDefinition.from_yaml(JSON_SCHEMA_STATE_YAML))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=JSON_SCHEMA_STATE_YAML))
with pytest.raises(ValueError, match="Invalid inputs"):
flow.kickoff(inputs={"count": "not-a-number"})
def test_pydantic_state_falls_back_to_json_schema_when_ref_unimportable():
flow = Flow.from_definition(
FlowDefinition.from_yaml(PYDANTIC_REF_WITH_SCHEMA_FALLBACK_YAML)
FlowDefinition.from_declaration(contents=PYDANTIC_REF_WITH_SCHEMA_FALLBACK_YAML)
)
result = flow.kickoff()
assert result == "count=1"
@@ -2116,7 +2309,9 @@ def test_pydantic_state_falls_back_to_json_schema_when_ref_unimportable():
def test_pydantic_state_without_ref_or_schema_falls_back_to_dict(caplog):
with caplog.at_level("ERROR"):
flow = Flow.from_definition(FlowDefinition.from_yaml(UNRESOLVABLE_STATE_YAML))
flow = Flow.from_definition(
FlowDefinition.from_declaration(contents=UNRESOLVABLE_STATE_YAML)
)
assert "falling back to dict state" in caplog.text
result = flow.kickoff()
@@ -2126,7 +2321,7 @@ def test_pydantic_state_without_ref_or_schema_falls_back_to_dict(caplog):
def test_dict_state_is_a_copy_of_default_plus_id():
definition = FlowDefinition.from_yaml(DICT_STATE_YAML)
definition = FlowDefinition.from_declaration(contents=DICT_STATE_YAML)
flow = Flow.from_definition(definition)
assert flow.state["count"] == 5
@@ -2143,7 +2338,7 @@ def test_dict_state_is_a_copy_of_default_plus_id():
def test_unknown_state_type_falls_back_to_dict(caplog):
with caplog.at_level("WARNING"):
flow = Flow.from_definition(FlowDefinition.from_yaml(UNKNOWN_STATE_YAML))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=UNKNOWN_STATE_YAML))
assert "falling back to dict state" in caplog.text
result = flow.kickoff()
@@ -2216,7 +2411,7 @@ def _run_capturing_flow_lifecycle(yaml_str, event_types):
def capture(source, event):
events.append(event)
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
result = flow.kickoff()
return flow, result, events
@@ -2230,7 +2425,7 @@ _LIFECYCLE_EVENTS = [
]
def test_config_suppress_flow_events_from_yaml():
def test_config_suppress_flow_events_from_declaration():
twin_events = []
with crewai_event_bus.scoped_handlers():
for event_type in _LIFECYCLE_EVENTS:
@@ -2253,14 +2448,14 @@ def test_config_suppress_flow_events_from_yaml():
)
def test_config_max_method_calls_from_yaml():
flow = Flow.from_definition(FlowDefinition.from_yaml(CAPPED_LOOP_YAML))
def test_config_max_method_calls_from_declaration():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=CAPPED_LOOP_YAML))
with pytest.raises(RecursionError, match="has been called 2 times"):
flow.kickoff()
def test_config_stream_from_yaml():
flow = Flow.from_definition(FlowDefinition.from_yaml(STREAMING_CHAIN_YAML))
def test_config_stream_from_declaration():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=STREAMING_CHAIN_YAML))
streaming = flow.kickoff()
assert isinstance(streaming, FlowStreamingOutput)
for _ in streaming:
@@ -2269,7 +2464,7 @@ def test_config_stream_from_yaml():
assert flow.stream is True
def test_config_defer_trace_finalization_from_yaml():
def test_config_defer_trace_finalization_from_declaration():
_, _, baseline_events = _run_capturing_flow_lifecycle(
CHAIN_YAML, [FlowFinishedEvent]
)
@@ -2283,7 +2478,7 @@ def test_config_defer_trace_finalization_from_yaml():
assert deferred_events == []
def test_config_checkpoint_from_yaml(tmp_path):
def test_config_checkpoint_from_declaration(tmp_path):
yaml_str = (
CHAIN_YAML
+ f"""
@@ -2292,19 +2487,23 @@ config:
location: {tmp_path}
"""
)
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
assert isinstance(flow.checkpoint, CheckpointConfig)
assert flow.checkpoint.location == str(tmp_path)
def test_config_input_provider_from_yaml():
flow = Flow.from_definition(FlowDefinition.from_yaml(INPUT_PROVIDER_CHAIN_YAML))
def test_config_input_provider_from_declaration():
flow = Flow.from_definition(
FlowDefinition.from_declaration(contents=INPUT_PROVIDER_CHAIN_YAML)
)
assert isinstance(flow.input_provider, StubInputProvider)
def test_round_trip_config_equivalence():
class_flow = ConfiguredFlow()
definition = FlowDefinition.from_yaml(ConfiguredFlow.flow_definition().to_yaml())
definition = FlowDefinition.from_declaration(
contents=ConfiguredFlow.flow_definition().to_yaml()
)
definition_flow = Flow.from_definition(definition)
assert definition.config.suppress_flow_events is True
@@ -2474,9 +2673,9 @@ class MethodPersistedFlow(Flow):
return "two"
def test_flow_level_persist_from_yaml_saves_once_per_method():
def test_flow_level_persist_from_declaration_saves_once_per_method():
yaml_str = _flow_level_persist_yaml("yaml-flow-level")
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
result = flow.kickoff()
assert result == "two"
@@ -2486,9 +2685,9 @@ def test_flow_level_persist_from_yaml_saves_once_per_method():
assert final_save["id"] == flow.state["id"]
def test_method_level_persist_from_yaml_saves_only_that_method():
def test_method_level_persist_from_declaration_saves_only_that_method():
yaml_str = _method_level_persist_yaml("yaml-method-level")
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow.kickoff()
assert _saved_methods("yaml-method-level") == ["first"]
@@ -2517,20 +2716,20 @@ methods:
persist:
enabled: false
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow.kickoff()
assert _saved_methods("yaml-opt-out") == ["first"]
def test_persist_restore_by_id_from_yaml():
def test_persist_restore_by_id_from_declaration():
yaml_str = _flow_level_persist_yaml("yaml-restore")
flow1 = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow1 = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow1.kickoff()
assert flow1.state["count"] == 2
flow2 = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow2 = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow2.kickoff(inputs={"id": flow1.state["id"]})
assert flow2.state["count"] == 4
@@ -2550,7 +2749,9 @@ def test_method_level_persist_decorator_saves_only_that_method():
def test_round_trip_persist_equivalence():
definition = FlowDefinition.from_yaml(ClassPersistedFlow.flow_definition().to_yaml())
definition = FlowDefinition.from_declaration(
contents=ClassPersistedFlow.flow_definition().to_yaml()
)
before = len(DefinitionStoreBackend.saves["class-decorator"])
flow = Flow.from_definition(definition)
@@ -2559,7 +2760,7 @@ def test_round_trip_persist_equivalence():
assert _saved_methods("class-decorator")[before:] == ["first", "second"]
def test_method_persist_backend_overrides_flow_level_backend_from_yaml():
def test_method_persist_backend_overrides_flow_level_backend_from_declaration():
yaml_str = f"""
schema: crewai.flow/v1
name: PersistedFlow
@@ -2583,7 +2784,7 @@ methods:
persistence_type: DefinitionStoreBackend
store: yaml-mixed-method
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
flow.kickoff()
assert _saved_methods("yaml-mixed-flow") == ["first"]
@@ -2731,8 +2932,8 @@ methods:
"""
def test_human_feedback_from_yaml_default_outcome_routes():
flow = Flow.from_definition(FlowDefinition.from_yaml(REVIEW_YAML))
def test_human_feedback_from_declaration_default_outcome_routes():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=REVIEW_YAML))
with patch.object(flow, "_request_human_feedback", return_value="") as request:
result = flow.kickoff()
@@ -2743,8 +2944,8 @@ def test_human_feedback_from_yaml_default_outcome_routes():
assert flow.last_human_feedback.output == "draft-content"
def test_human_feedback_from_yaml_collapses_and_routes():
flow = Flow.from_definition(FlowDefinition.from_yaml(REVIEW_YAML))
def test_human_feedback_from_declaration_collapses_and_routes():
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=REVIEW_YAML))
with (
patch.object(flow, "_request_human_feedback", return_value="ship it"),
@@ -2761,7 +2962,7 @@ def test_round_trip_human_feedback_equivalence():
with patch.object(class_flow, "_request_human_feedback", return_value=""):
class_result = class_flow.kickoff()
definition = FlowDefinition.from_yaml(ReviewFlow.flow_definition().to_yaml())
definition = FlowDefinition.from_declaration(contents=ReviewFlow.flow_definition().to_yaml())
twin = Flow.from_definition(definition)
with patch.object(twin, "_request_human_feedback", return_value=""):
twin_result = twin.kickoff()
@@ -2774,8 +2975,8 @@ def test_round_trip_human_feedback_equivalence():
)
def test_human_feedback_pending_and_resume_from_yaml():
definition = FlowDefinition.from_yaml(PENDING_REVIEW_YAML)
def test_human_feedback_pending_and_resume_from_declaration():
definition = FlowDefinition.from_declaration(contents=PENDING_REVIEW_YAML)
flow = Flow.from_definition(definition)
pending = flow.kickoff()
@@ -2796,7 +2997,7 @@ def test_human_feedback_pending_and_resume_from_yaml():
assert flow_id not in DefinitionStoreBackend.pending
def test_flow_config_provider_fallback_from_yaml():
def test_flow_config_provider_fallback_from_declaration():
yaml_str = f"""
schema: crewai.flow/v1
name: ConfigProviderFlow
@@ -2822,7 +3023,7 @@ methods:
return "from-config"
provider = RecordingProvider()
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
previous = flow_config.hitl_provider
flow_config.hitl_provider = provider
@@ -2925,7 +3126,7 @@ methods:
message: "Review:"
provider: {__name__}:_NeedsArgsProvider
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(
ValueError, match="cannot instantiate human_feedback.provider ref"
@@ -2946,7 +3147,7 @@ methods:
message: "Review:"
provider: missing_module_xyz:Provider
"""
flow = Flow.from_definition(FlowDefinition.from_yaml(yaml_str))
flow = Flow.from_definition(FlowDefinition.from_declaration(contents=yaml_str))
with pytest.raises(
ValueError, match="unresolvable human_feedback.provider ref"
@@ -2958,7 +3159,7 @@ def _checkpoint_chain_flow(tmp_path):
from crewai.state.provider.json_provider import JsonProvider
from crewai.state.runtime import RuntimeState
definition = FlowDefinition.from_yaml(CHAIN_YAML)
definition = FlowDefinition.from_declaration(contents=CHAIN_YAML)
flow = Flow.from_definition(definition)
result = flow.kickoff()
assert result == "confirmed:True"
@@ -2998,7 +3199,7 @@ state:
methods: {}
"""
with pytest.raises(ValidationError, match="default"):
FlowDefinition.from_yaml(yaml_str)
FlowDefinition.from_declaration(contents=yaml_str)
def test_definition_method_missing_from_class_fails_loudly():

View File

@@ -46,6 +46,16 @@ class TestConsoleFormatterPauseResume:
formatter.resume_live_updates()
def test_flow_method_status_ignores_formatter_verbose(self):
formatter = ConsoleFormatter(verbose=False)
with patch.object(formatter, "print_panel") as mock_print_panel:
formatter.handle_method_status("categorize_tickets")
mock_print_panel.assert_called_once()
_, kwargs = mock_print_panel.call_args
assert kwargs["is_flow"] is True
def test_streaming_after_pause_resume_creates_new_session(self):
"""Test that streaming after pause/resume creates new Live session."""
formatter = ConsoleFormatter()

View File

@@ -1,3 +1,3 @@
"""CrewAI development tools."""
__version__ = "1.14.8a2"
__version__ = "1.14.8a3"

View File

@@ -15,7 +15,7 @@ dev = [
"pytest==9.0.3",
"pytest-asyncio==1.3.0",
"pytest-subprocess==1.5.3",
"vcrpy==7.0.0", # pinned, less versions break pytest-recording
"vcrpy==8.2.1", # pinned, lower versions break pytest-recording
"pytest-recording==0.13.4",
"pytest-randomly==4.0.1",
"pytest-timeout==2.4.0",
@@ -171,8 +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" }
# These security fixes are newer than the global supply-chain cutoff.
exclude-newer-package = { pypdf = "2026-06-18T00:00:00Z", msgpack = "2026-06-20T00:00:00Z", pydantic-settings = "2026-06-20T00:00:00Z", langsmith = "2026-06-20T00:00:00Z" }
# 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.
@@ -188,7 +188,8 @@ exclude-newer-package = { pypdf = "2026-06-18T00:00:00Z" }
# 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).
# urllib3 <2.7.0 has GHSA-qccp-gfcp-xxvc (ProxyManager cross-origin redirect leaks Authorization/Cookie) and GHSA-mf9v-mfxr-j63j (streaming decompression-bomb bypass); force 2.7.0+.
# langsmith <0.8.0 has GHSA-3644-q5cj-c5c7 (public prompt manifest deserialization, SSRF/secret disclosure); force 0.8.0+.
# langsmith <0.8.18 has GHSA-3644-q5cj-c5c7 (public prompt manifest deserialization, SSRF/secret disclosure)
# and GHSA-f4xh-w4cj-qxq8; force 0.8.18+.
# authlib <1.6.12 has GHSA-jj8c-mmj3-mmgv (CSRF bypass in cache-based state storage) and PYSEC-2026-188.
# pip 26.1.1 has PYSEC-2026-196; force 26.1.2+.
# aiohttp <=3.13.x has GHSA-jg22-mg44-37j8, GHSA-hg6j-4rv6-33pg; fixed in 3.14.0; force 3.14.0+.
@@ -196,6 +197,8 @@ exclude-newer-package = { pypdf = "2026-06-18T00:00:00Z" }
# pip <26.1.1 has GHSA-58qw-9mgm-455v (archive handling); OSV considers 26.1.1 unaffected.
# paramiko <5.0.0 has GHSA-r374-rxx8-8654 (SHA-1 in rsakey.py); OSV considers 5.0.0 unaffected. Transitive via composio-core.
# starlette <1.3.1 has PYSEC-2026-161, GHSA-jp82-jpqv-5vv3, and GHSA-82w8-qh3p-5jfq. Transitive via fastapi.
# msgpack <1.2.1 has GHSA-6v7p-g79w-8964; transitive via pip-audit[filecache].
# pydantic-settings <2.14.2 has GHSA-4xgf-cpjx-pc3j.
# Keep OpenAI on the SDK range required by CrewAI when transitive dependencies
# loosen or pin their own lower versions.
override-dependencies = [
@@ -212,16 +215,17 @@ override-dependencies = [
"uv>=0.11.15,<1",
"python-multipart>=0.0.27,<1",
"gitpython>=3.1.50,<4",
"langsmith>=0.8.0,<1",
"langsmith>=0.8.18,<1",
"authlib>=1.6.12",
"pip>=26.1.2",
"aiohttp>=3.14.0",
# [chunking] carried here because override-dependencies replace the whole
# requirement; without it the docling extra's chunking deps get stripped.
"docling-core[chunking]>=2.74.1",
"pydantic-settings>=2.14.0",
"paramiko>=5.0.0",
"starlette>=1.3.1",
"msgpack>=1.2.1",
"pydantic-settings>=2.14.2",
]
[tool.uv.workspace]

175
uv.lock generated
View File

@@ -13,11 +13,14 @@ resolution-markers = [
]
[options]
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 = "2026-06-20T16:46:21.117658Z"
exclude-newer-span = "P3D"
[options.exclude-newer-package]
msgpack = "2026-06-20T00:00:00Z"
langsmith = "2026-06-20T00:00:00Z"
pypdf = "2026-06-18T00:00:00Z"
pydantic-settings = "2026-06-20T00:00:00Z"
[manifest]
members = [
@@ -36,13 +39,14 @@ overrides = [
{ name = "gitpython", specifier = ">=3.1.50,<4" },
{ name = "langchain-core", specifier = ">=1.3.3,<2" },
{ name = "langchain-text-splitters", specifier = ">=1.1.2,<2" },
{ name = "langsmith", specifier = ">=0.8.0,<1" },
{ name = "langsmith", specifier = ">=0.8.18,<1" },
{ name = "msgpack", specifier = ">=1.2.1" },
{ name = "onnxruntime", marker = "python_full_version < '3.11'", specifier = "<1.24" },
{ name = "openai", specifier = ">=2.30.0,<3" },
{ name = "paramiko", specifier = ">=5.0.0" },
{ name = "pillow", specifier = ">=12.1.1" },
{ name = "pip", specifier = ">=26.1.2" },
{ name = "pydantic-settings", specifier = ">=2.14.0" },
{ name = "pydantic-settings", specifier = ">=2.14.2" },
{ name = "pypdf", specifier = ">=6.13.3,<7" },
{ name = "python-multipart", specifier = ">=0.0.27,<1" },
{ name = "rich", specifier = ">=13.7.1" },
@@ -77,7 +81,7 @@ dev = [
{ name = "types-redis", specifier = "~=4.6" },
{ name = "types-regex", specifier = "==2026.1.15.*" },
{ name = "types-requests", specifier = "~=2.31.0.6" },
{ name = "vcrpy", specifier = "==7.0.0" },
{ name = "vcrpy", specifier = "==8.2.1" },
]
[[package]]
@@ -1448,9 +1452,9 @@ requires-dist = [
{ name = "openai", specifier = ">=2.30.0,<3" },
{ name = "openpyxl", specifier = "~=3.1.5" },
{ name = "openpyxl", marker = "extra == 'openpyxl'", specifier = "~=3.1.5" },
{ name = "opentelemetry-api", specifier = "~=1.34.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.34.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.34.0" },
{ name = "opentelemetry-api", specifier = "~=1.42.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.42.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.42.0" },
{ name = "pandas", marker = "extra == 'pandas'", specifier = "~=2.2.3" },
{ name = "pdfplumber", specifier = "~=0.11.4" },
{ name = "portalocker", specifier = "~=2.7.0" },
@@ -1535,9 +1539,9 @@ requires-dist = [
{ name = "appdirs", specifier = "~=1.4.4" },
{ name = "cryptography", specifier = ">=42.0" },
{ name = "httpx", specifier = "~=0.28.1" },
{ name = "opentelemetry-api", specifier = "~=1.34.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.34.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.34.0" },
{ name = "opentelemetry-api", specifier = "~=1.42.0" },
{ name = "opentelemetry-exporter-otlp-proto-http", specifier = "~=1.42.0" },
{ name = "opentelemetry-sdk", specifier = "~=1.42.0" },
{ name = "packaging", specifier = ">=23.0" },
{ name = "portalocker", specifier = "~=2.7.0" },
{ name = "pydantic", specifier = ">=2.11.9,<2.13" },
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version = "0.8.18"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -3960,9 +3964,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
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@@ -4702,45 +4706,53 @@ wheels = [
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