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1.14.5a2
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iris/fix-p
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55
.github/workflows/nightly.yml
vendored
55
.github/workflows/nightly.yml
vendored
@@ -5,6 +5,10 @@ on:
|
||||
- cron: '0 6 * * *' # daily at 6am UTC
|
||||
workflow_dispatch:
|
||||
|
||||
concurrency:
|
||||
group: nightly-publish
|
||||
cancel-in-progress: false
|
||||
|
||||
jobs:
|
||||
check:
|
||||
name: Check for new commits
|
||||
@@ -18,10 +22,11 @@ jobs:
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Check for commits in last 24h
|
||||
- name: Check for recent commits
|
||||
id: check
|
||||
run: |
|
||||
RECENT=$(git log --since="24 hours ago" --oneline | head -1)
|
||||
# 25h window absorbs cron-vs-commit timing skew at the boundary.
|
||||
RECENT=$(git log --since="25 hours ago" --oneline | head -1)
|
||||
if [ -n "$RECENT" ]; then
|
||||
echo "has_changes=true" >> "$GITHUB_OUTPUT"
|
||||
else
|
||||
@@ -38,34 +43,42 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: "3.12"
|
||||
|
||||
- name: Install uv
|
||||
uses: astral-sh/setup-uv@v4
|
||||
uses: astral-sh/setup-uv@v6
|
||||
with:
|
||||
version: "0.11.3"
|
||||
python-version: "3.12"
|
||||
enable-cache: false
|
||||
|
||||
- name: Stamp nightly versions
|
||||
run: |
|
||||
DATE=$(date +%Y%m%d)
|
||||
|
||||
# All workspace packages share the same base version and are released together.
|
||||
BASE=$(python -c "
|
||||
import re
|
||||
print(re.search(r'__version__\s*=\s*\"(.*?)\"', open('lib/crewai/src/crewai/__init__.py').read()).group(1))
|
||||
")
|
||||
NIGHTLY="${BASE}.dev${DATE}"
|
||||
echo "Nightly version: ${NIGHTLY}"
|
||||
|
||||
for init_file in \
|
||||
lib/crewai/src/crewai/__init__.py \
|
||||
lib/crewai-core/src/crewai_core/__init__.py \
|
||||
lib/crewai-tools/src/crewai_tools/__init__.py \
|
||||
lib/crewai-files/src/crewai_files/__init__.py; do
|
||||
CURRENT=$(python -c "
|
||||
import re
|
||||
text = open('$init_file').read()
|
||||
print(re.search(r'__version__\s*=\s*\"(.*?)\"\s*$', text, re.MULTILINE).group(1))
|
||||
")
|
||||
NIGHTLY="${CURRENT}.dev${DATE}"
|
||||
lib/crewai-files/src/crewai_files/__init__.py \
|
||||
lib/cli/src/crewai_cli/__init__.py; do
|
||||
sed -i "s/__version__ = .*/__version__ = \"${NIGHTLY}\"/" "$init_file"
|
||||
echo "$init_file: $CURRENT -> $NIGHTLY"
|
||||
echo "Stamped $init_file -> $NIGHTLY"
|
||||
done
|
||||
|
||||
# Update cross-package dependency pins to nightly versions
|
||||
sed -i "s/\"crewai-tools==[^\"]*\"/\"crewai-tools==${NIGHTLY}\"/" lib/crewai/pyproject.toml
|
||||
# Update all cross-package dependency pins to the nightly version.
|
||||
sed -i "s/\"crewai==[^\"]*\"/\"crewai==${NIGHTLY}\"/" lib/crewai-tools/pyproject.toml
|
||||
sed -i "s/\"crewai-core==[^\"]*\"/\"crewai-core==${NIGHTLY}\"/" lib/crewai/pyproject.toml
|
||||
sed -i "s/\"crewai-cli==[^\"]*\"/\"crewai-cli==${NIGHTLY}\"/" lib/crewai/pyproject.toml
|
||||
sed -i "s/\"crewai-tools==[^\"]*\"/\"crewai-tools==${NIGHTLY}\"/" lib/crewai/pyproject.toml
|
||||
sed -i "s/\"crewai-files==[^\"]*\"/\"crewai-files==${NIGHTLY}\"/" lib/crewai/pyproject.toml
|
||||
sed -i "s/\"crewai-core==[^\"]*\"/\"crewai-core==${NIGHTLY}\"/" lib/cli/pyproject.toml
|
||||
echo "Updated cross-package dependency pins to ${NIGHTLY}"
|
||||
|
||||
- name: Build packages
|
||||
@@ -85,13 +98,10 @@ jobs:
|
||||
runs-on: ubuntu-latest
|
||||
environment:
|
||||
name: pypi
|
||||
url: https://pypi.org/p/crewai
|
||||
permissions:
|
||||
id-token: write
|
||||
contents: read
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
|
||||
- name: Install uv
|
||||
uses: astral-sh/setup-uv@v6
|
||||
with:
|
||||
@@ -116,7 +126,8 @@ jobs:
|
||||
continue
|
||||
fi
|
||||
echo "Publishing $package"
|
||||
if ! uv publish "$package"; then
|
||||
# --check-url skips files already on PyPI so manual re-runs on the same day are idempotent.
|
||||
if ! uv publish --check-url https://pypi.org/simple/ "$package"; then
|
||||
echo "Failed to publish $package"
|
||||
failed=1
|
||||
fi
|
||||
|
||||
6
.github/workflows/vulnerability-scan.yml
vendored
6
.github/workflows/vulnerability-scan.yml
vendored
@@ -46,9 +46,11 @@ jobs:
|
||||
- name: Run pip-audit
|
||||
run: |
|
||||
uv run pip-audit --desc --aliases --skip-editable --format json --output pip-audit-report.json \
|
||||
--ignore-vuln CVE-2026-3219
|
||||
--ignore-vuln CVE-2026-3219 \
|
||||
--ignore-vuln GHSA-r374-rxx8-8654
|
||||
# Ignored CVEs:
|
||||
# CVE-2026-3219 - pip 26.0.1 (GHSA-58qw-9mgm-455v): no fix available, archive handling issue
|
||||
# CVE-2026-3219 - pip 26.0.1 (GHSA-58qw-9mgm-455v): no fix available, archive handling issue
|
||||
# GHSA-r374-rxx8-8654 - paramiko 4.0.0 (SHA-1 in rsakey.py): no fix available; transitive via composio-core
|
||||
continue-on-error: true
|
||||
|
||||
- name: Display results
|
||||
|
||||
@@ -19,7 +19,7 @@ repos:
|
||||
language: system
|
||||
pass_filenames: true
|
||||
types: [python]
|
||||
exclude: ^(lib/crewai/src/crewai/cli/templates/|lib/crewai/tests/|lib/crewai-tools/tests/|lib/crewai-files/tests/)
|
||||
exclude: ^(lib/crewai/src/crewai/cli/templates/|lib/cli/src/crewai_cli/templates/|lib/cli/tests/|lib/crewai/tests/|lib/crewai-tools/tests/|lib/crewai-files/tests/|lib/devtools/tests/)
|
||||
- repo: https://github.com/astral-sh/uv-pre-commit
|
||||
rev: 0.11.3
|
||||
hooks:
|
||||
|
||||
@@ -54,12 +54,13 @@ _original_from_serialized_response = getattr(
|
||||
)
|
||||
|
||||
if _original_from_serialized_response is not None:
|
||||
_from_serialized: Any = _original_from_serialized_response
|
||||
|
||||
def _patched_from_serialized_response(
|
||||
request: Any, serialized_response: Any, history: Any = None
|
||||
) -> Any:
|
||||
"""Patched version that ensures response._content is properly set."""
|
||||
response = _original_from_serialized_response(request, serialized_response, history)
|
||||
response = _from_serialized(request, serialized_response, history)
|
||||
# Explicitly set _content to avoid ResponseNotRead errors
|
||||
# The content was passed to the constructor but the mocked read() prevents
|
||||
# proper initialization of the internal state
|
||||
@@ -255,7 +256,8 @@ def vcr_cassette_dir(request: Any) -> str:
|
||||
|
||||
for parent in test_file.parents:
|
||||
if (
|
||||
parent.name in ("crewai", "crewai-tools", "crewai-files")
|
||||
parent.name
|
||||
in ("crewai", "crewai-tools", "crewai-files", "cli", "crewai-core")
|
||||
and parent.parent.name == "lib"
|
||||
):
|
||||
package_root = parent
|
||||
|
||||
@@ -26,7 +26,7 @@ mode: "wide"
|
||||
</Step>
|
||||
|
||||
<Step title="مراقبة التقدم">
|
||||
استخدم `GET /{kickoff_id}/status` للتحقق من حالة التنفيذ واسترجاع النتائج.
|
||||
استخدم `GET /status/{kickoff_id}` للتحقق من حالة التنفيذ واسترجاع النتائج.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
@@ -65,7 +65,7 @@ https://your-crew-name.crewai.com
|
||||
|
||||
1. **الاكتشاف**: استدعِ `GET /inputs` لفهم ما يحتاجه طاقمك
|
||||
2. **التنفيذ**: أرسل المدخلات عبر `POST /kickoff` لبدء المعالجة
|
||||
3. **المراقبة**: استعلم عن `GET /{kickoff_id}/status` حتى الاكتمال
|
||||
3. **المراقبة**: استعلم عن `GET /status/{kickoff_id}` حتى الاكتمال
|
||||
4. **النتائج**: استخرج المخرجات النهائية من الاستجابة المكتملة
|
||||
|
||||
## معالجة الأخطاء
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
title: "GET /{kickoff_id}/status"
|
||||
title: "GET /status/{kickoff_id}"
|
||||
description: "الحصول على حالة التنفيذ"
|
||||
openapi: "/enterprise-api.en.yaml GET /{kickoff_id}/status"
|
||||
openapi: "/enterprise-api.en.yaml GET /status/{kickoff_id}"
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
@@ -4,6 +4,80 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="13 مايو 2026">
|
||||
## v1.14.5a5
|
||||
|
||||
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a5)
|
||||
|
||||
## ما الذي تغير
|
||||
|
||||
### الميزات
|
||||
- إلغاء استخدام CrewAgentExecutor، وتعيين وكلاء Crew الافتراضيين إلى AgentExecutor
|
||||
- تحسين أدوات صندوق الرمل Daytona
|
||||
|
||||
### إصلاحات الأخطاء
|
||||
- إصلاح كتلة الكود المفقودة في دليل التدفق الأول باللغة البرتغالية (pt-BR)
|
||||
- تسجيل أخطاء المراجعة المسبقة والتقطير HITL، إضافة learn_strict
|
||||
- تصحيح urllib3 للثغرات الأمنية
|
||||
- تصحيح gitpython و langchain-core؛ تجاهل CVE paramiko غير المصححة
|
||||
- تحديث جميع حزم مساحة العمل المنشورة على uv lock/sync
|
||||
|
||||
### الوثائق
|
||||
- إضافة دليل ترحيل لـ `inputs.id` إلى `restoreFromStateId`
|
||||
- إضافة دليل ترقية OSS ودليل ترحيل crew-to-flow
|
||||
- تحديث سجل التغييرات والإصدار لـ v1.14.5a4
|
||||
|
||||
## المساهمون
|
||||
|
||||
@akaKuruma, @greysonlalonde, @iris-clawd, @lorenzejay, @mislavivanda
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="9 مايو 2026">
|
||||
## v1.14.5a4
|
||||
|
||||
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a4)
|
||||
|
||||
## ما الذي تغير
|
||||
|
||||
### الميزات
|
||||
- تحديث قوائم LLM
|
||||
|
||||
### إصلاحات الأخطاء
|
||||
- إصلاح مشكلة الاعتماد من خلال نقل `textual` إلى `crewai-cli` وإضافة `certifi`
|
||||
|
||||
### الوثائق
|
||||
- تحديث سجل التغييرات والإصدار لـ v1.14.5a3
|
||||
|
||||
## المساهمون
|
||||
|
||||
@cgoeppinger, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="7 مايو 2026">
|
||||
## v1.14.5a3
|
||||
|
||||
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a3)
|
||||
|
||||
## ما الذي تغير
|
||||
|
||||
### إصلاحات الأخطاء
|
||||
- إصلاح مسار نقطة النهاية للحالة من /{kickoff_id}/status إلى /status/{kickoff_id}
|
||||
- تحديث تبعية gitpython إلى الإصدار >=3.1.47 للامتثال الأمني
|
||||
|
||||
### إعادة هيكلة
|
||||
- استخراج واجهة سطر الأوامر إلى حزمة crewai-cli المستقلة
|
||||
|
||||
### الوثائق
|
||||
- تحديث سجل التغييرات والإصدار للإصدار v1.14.5a2
|
||||
|
||||
## المساهمون
|
||||
|
||||
@greysonlalonde, @iris-clawd
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="4 مايو 2026">
|
||||
## v1.14.5a2
|
||||
|
||||
|
||||
@@ -29,6 +29,7 @@ from crewai.flow.flow import Flow, listen, start
|
||||
from dotenv import load_dotenv
|
||||
from litellm import completion
|
||||
|
||||
load_dotenv()
|
||||
|
||||
class ExampleFlow(Flow):
|
||||
model = "gpt-4o-mini"
|
||||
|
||||
102
docs/ar/guides/flows/inputs-id-deprecation.mdx
Normal file
102
docs/ar/guides/flows/inputs-id-deprecation.mdx
Normal file
@@ -0,0 +1,102 @@
|
||||
---
|
||||
title: "الانتقال من inputs.id إلى restore_from_state_id"
|
||||
description: "نقل تدفقات @persist من ترطيب inputs.id المهجور إلى حقل restore_from_state_id المدعوم"
|
||||
icon: "arrow-right-arrow-left"
|
||||
---
|
||||
|
||||
<Warning>
|
||||
تمرير `id` داخل `inputs` لترطيب تدفق `@persist` هو **مهجور** ومقرر إزالته في إصدار مستقبلي. البديل، `restore_from_state_id`، متاح في CrewAI **v1.14.5 وما بعده** — الخطوات أدناه تنطبق بمجرد أن تقوم بالتحديث.
|
||||
</Warning>
|
||||
|
||||
## نظرة عامة
|
||||
|
||||
الطريقة الموثقة لترطيب تدفق `@persist` من تنفيذ سابق هي تمرير UUID لذلك التنفيذ كـ `inputs.id`. الآن، تكشف CrewAI عن حقل مخصص، `restore_from_state_id`، الذي يقوم بنفس الترطيب دون تحميل حمولة `inputs` — ودون ربط مفتاح الترطيب بهوية التنفيذ الجديد.
|
||||
|
||||
## الانتقال
|
||||
|
||||
إذا كنت حالياً تبدأ تدفق `@persist` باستخدام `inputs={"id": ...}`:
|
||||
|
||||
```python
|
||||
# مهجور
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(inputs={"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv"})
|
||||
```
|
||||
|
||||
انتقل إلى `restore_from_state_id`:
|
||||
|
||||
```python
|
||||
# مدعوم
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(restore_from_state_id="abcd1234-5678-90ef-ghij-klmnopqrstuv")
|
||||
```
|
||||
|
||||
تتمتع الوضعيتان بمعاني سلالة مختلفة:
|
||||
|
||||
- `inputs={"id": <uuid>}` (مهجور) — **استئناف**: تكتب الكتابات تحت المعرف المقدم، مما يمدد نفس تاريخ `flow_uuid`.
|
||||
- `restore_from_state_id=<uuid>` — **تفرع**: يترطب الحالة من اللقطة، ثم يكتب تحت `state.id` جديدة. يتم الحفاظ على تاريخ التدفق المصدر.
|
||||
|
||||
لأغلب سيناريوهات الإنتاج — إعادة تشغيل تدفق تم تهيئته من حالة سابقة — فإن التفرع هو ما تريده. راجع [إتقان حالة التدفق](/ar/guides/flows/mastering-flow-state) للحصول على النموذج الذهني الكامل.
|
||||
|
||||
إذا كنت تبدأ تدفقك عبر واجهة برمجة تطبيقات CrewAI AMP REST، راجع [AMP](#amp) أدناه لهجرة الحمولة المعادلة.
|
||||
|
||||
## لماذا نقوم بإهمال `inputs.id` لـ `@persist`
|
||||
|
||||
`inputs.id` هو حالياً الطريقة الموثقة لاستئناف تدفق `@persist` من تنفيذ سابق. المشكلة هي أن نفس UUID يقوم بوظيفتين في وقت واحد:
|
||||
|
||||
1. **يحدد أي لقطة يترطب منها `@persist`** — تحميل الحالة المحفوظة تحت ذلك UUID.
|
||||
2. **يصبح معرف تنفيذ التدفق الجديد** (`state.id` في SDK؛ يظهر كـ `flow_id` في بعض السياقات) — كل كتابة `@persist` من هذه البداية أيضاً تقع تحت نفس UUID.
|
||||
|
||||
هذه الوظيفة المزدوجة هي السبب الجذري للمشاكل التي يصفها هذا الدليل. لأن UUID المقدم هو أيضاً معرف التنفيذ الجديد، فإن بدايتين تمرران نفس `inputs.id` ليست تنفيذين متميزين — إنهما تشتركان في معرف، وتشاركان في سجل الاستمرارية، و(على AMP) تشتركان في صف في قائمة التنفيذات. لا توجد طريقة للقول "ترطب من هذه اللقطة، ولكن سجل هذا التشغيل بشكل منفصل" دون تقسيم المسؤوليتين.
|
||||
|
||||
`restore_from_state_id` هو هذا الانقسام. إنه يخبر `@persist` من أي لقطة يترطب، بينما يترك التنفيذ الجديد حراً لاستلام `state.id` جديدة. لم يعد مصدر الترطيب والتشغيل المسجل نفس UUID — وهو ما تريده معظم سيناريوهات الإنتاج فعلياً.
|
||||
|
||||
## جدول إزالة
|
||||
|
||||
من المقرر إزالة `inputs.id` لترطيب `@persist` في إصدار مستقبلي من CrewAI. لا يوجد قطع صارم فوري — تظل التدفقات الحالية تعمل — ولكن بمجرد أن تقوم بالتحديث إلى v1.14.5 أو ما بعده، يجب أن يستخدم الكود الجديد `restore_from_state_id`، ويجب أن تهاجر التدفقات الحالية في الفرصة المناسبة التالية.
|
||||
|
||||
## AMP
|
||||
|
||||
إذا كنت تنشر تدفقك إلى CrewAI AMP، فإن الهجرة تمتد إلى الحمولة التي تبدأ بها المرسلة إلى طاقمك المنشور، وتظهر الأعراض المرئية لإعادة استخدام `inputs.id` على لوحة معلومات النشر. تغطي القسمان الفرعيان أدناه كلاهما.
|
||||
|
||||
### هجرة حمولة البداية
|
||||
|
||||
إذا كنت حالياً تبدأ تدفقاً منشوراً عن طريق تضمين `id` في `inputs`:
|
||||
|
||||
```bash
|
||||
# مهجور
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{"inputs": {"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv", "topic": "AI Agent Frameworks"}}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
نقل UUID إلى حقل `restoreFromStateId` في المستوى الأعلى:
|
||||
|
||||
```bash
|
||||
# مدعوم
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{
|
||||
"inputs": {"topic": "AI Agent Frameworks"},
|
||||
"restoreFromStateId": "abcd1234-5678-90ef-ghij-klmnopqrstuv"
|
||||
}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
يجلس `restoreFromStateId` بجانب `inputs` في حمولة البداية، وليس داخلها. الآن، يحمل كائن `inputs` فقط القيم التي تستهلكها تدفقك فعلياً.
|
||||
|
||||
### ماذا يحدث عند إعادة استخدام `inputs.id`
|
||||
|
||||
عندما تتلقى AMP بداية لتدفق يتطابق `inputs.id` الخاص به مع تنفيذ موجود، فإنه يحل إلى السجل الموجود بدلاً من إنشاء سجل جديد. من لوحة معلومات النشر سترى:
|
||||
|
||||
- **حالة التنفيذ** — حالة التشغيل الجديد تحل محل حالة التشغيل السابق. يمكن أن تعود تنفيذات مكتملة إلى `جارية`، أو يمكن أن تتحول تشغيلات `مكتملة` إلى `خطأ` إذا فشلت البداية الجديدة — في كلتا الحالتين، لم تعد لوحة المعلومات تعكس التشغيل الأصلي.
|
||||
- **التتبع** — تتراكم تتبعات OTel عبر البدايات لأنها تشترك في نفس معرف التنفيذ؛ تتبعات التشغيل السابق إما تُستبدل بـ، أو تُخلط مع، تشغيل الجديد. لم يعد إعادة التشغيل خطوة بخطوة يتوافق مع تنفيذ واحد.
|
||||
- **قائمة التنفيذات** — البدايات التي يجب أن تظهر كصفوف منفصلة تتقلص إلى إدخال واحد، مما يخفي التاريخ.
|
||||
|
||||
تساعد الهجرة إلى `restoreFromStateId` في الحفاظ على كل بداية كتنفيذ خاص بها — مع حالتها الخاصة، وتتبعها، وصفها في القائمة — بينما لا تزال ترطب الحالة من تشغيل سابق.
|
||||
|
||||
<Card title="هل تحتاج مساعدة؟" icon="headset" href="mailto:support@crewai.com">
|
||||
اتصل بفريق الدعم لدينا إذا لم تكن متأكداً من أي وضع يحتاجه تدفقك أو واجهت مشاكل أثناء الهجرة.
|
||||
</Card>
|
||||
190
docs/ar/guides/migration/upgrading-crewai.mdx
Normal file
190
docs/ar/guides/migration/upgrading-crewai.mdx
Normal file
@@ -0,0 +1,190 @@
|
||||
---
|
||||
title: "ترقية CrewAI"
|
||||
description: "كيفية ترقية CrewAI في مشروعك والتكيّف مع التغييرات الجذرية بين الإصدارات."
|
||||
icon: "arrow-up-circle"
|
||||
---
|
||||
|
||||
## نظرة عامة
|
||||
|
||||
تجلب إصدارات CrewAI قدرات جديدة بانتظام. يرشدك هذا الدليل خلال الخطوات العملية للحفاظ على تثبيتك محدّثًا — سواء أداة سطر الأوامر أو البيئة الافتراضية لمشروعك.
|
||||
|
||||
إذا كنت تبدأ من الصفر، راجع [التثبيت](/ar/installation). إذا كنت قادمًا من إطار عمل آخر، راجع [الترحيل من LangGraph](/ar/guides/migration/migrating-from-langgraph).
|
||||
|
||||
---
|
||||
|
||||
## الشيئان اللذان قد ترغب في ترقيتهما
|
||||
|
||||
يوجد CrewAI في مكانين على جهازك، ويتم ترقيتهما بشكل مستقل:
|
||||
|
||||
| ماذا | كيف يُثبَّت | كيف تتم الترقية |
|
||||
|---|---|---|
|
||||
| **أداة سطر الأوامر العامة `crewai`** | `uv tool install crewai` | `uv tool install crewai --upgrade` |
|
||||
| **بيئة venv للمشروع** (حيث يعمل الكود) | `crewai install` / `uv sync` | `uv add "crewai[...]>=X.Y.Z"` ثم `crewai install` |
|
||||
|
||||
يمكن لهما — وغالبًا ما يحدث — أن يخرجا عن التزامن. تشغيل `crewai --version` يُظهر إصدار سطر الأوامر. تشغيل `uv pip show crewai` داخل مشروعك يُظهر إصدار venv. إذا اختلفا، فهذا طبيعي؛ ما يهم بالنسبة للكود قيد التشغيل هو إصدار venv.
|
||||
|
||||
## لماذا لا يقوم `crewai install` وحده بالترقية
|
||||
|
||||
`crewai install` هو غلاف رفيع حول `uv sync`. يُثبّت بالضبط ما يقوله ملف `uv.lock` الحالي — وهو **لا** يرفع أي قيود إصدار.
|
||||
|
||||
إذا كان `pyproject.toml` يقول `crewai>=1.11.1` وقد قام ملف القفل بحلّه إلى `1.11.1`، فإن تشغيل `crewai install` سيُبقيك على `1.11.1` للأبد، حتى وإن كان الإصدار `1.14.4` متاحًا.
|
||||
|
||||
للترقية فعلًا، عليك:
|
||||
|
||||
1. تحديث قيد الإصدار في `pyproject.toml`
|
||||
2. إعادة حلّ ملف القفل
|
||||
3. مزامنة venv
|
||||
|
||||
`uv add` يقوم بالثلاثة في خطوة واحدة.
|
||||
|
||||
## كيفية ترقية مشروعك
|
||||
|
||||
```bash
|
||||
# يرفع القيد ويعيد القفل في أمر واحد
|
||||
uv add "crewai[tools]>=1.14.4"
|
||||
|
||||
# يزامن venv (crewai install يستدعي uv sync تحت الغطاء)
|
||||
crewai install
|
||||
|
||||
# تحقّق
|
||||
uv pip show crewai
|
||||
# → Version: 1.14.4
|
||||
```
|
||||
|
||||
استبدل `[tools]` بأي إضافات يستخدمها مشروعك (مثلًا `[tools,anthropic]`). تحقّق من قائمة `dependencies` في `pyproject.toml` إن لم تكن متأكدًا.
|
||||
|
||||
<Note>
|
||||
يحدّث `uv add` كلا من `pyproject.toml` **و** `uv.lock` بشكل ذرّي. إذا قمت بتحرير `pyproject.toml` يدويًا، فإنك لا تزال بحاجة إلى تشغيل `uv lock --upgrade-package crewai` لإعادة حلّ ملف القفل قبل أن يلتقط `crewai install` الإصدار الجديد.
|
||||
</Note>
|
||||
|
||||
## ترقية أداة سطر الأوامر العامة
|
||||
|
||||
أداة سطر الأوامر العامة منفصلة عن مشروعك. قم بترقيتها عبر:
|
||||
|
||||
```bash
|
||||
uv tool install crewai --upgrade
|
||||
```
|
||||
|
||||
إذا حذّرك الـ shell بشأن `PATH` بعد الترقية، قم بتحديثه:
|
||||
|
||||
```bash
|
||||
uv tool update-shell
|
||||
```
|
||||
|
||||
هذا **لا** يمسّ بيئة venv الخاصة بمشروعك — لا تزال بحاجة إلى `uv add` + `crewai install` داخل المشروع.
|
||||
|
||||
## التحقق من تزامن الاثنين
|
||||
|
||||
```bash
|
||||
# إصدار سطر الأوامر العام
|
||||
crewai --version
|
||||
|
||||
# إصدار venv للمشروع
|
||||
uv pip show crewai | grep Version
|
||||
```
|
||||
|
||||
ليس من الضروري أن يتطابقا — لكن إصدار venv للمشروع هو ما يهم لسلوك التشغيل.
|
||||
|
||||
<Note>
|
||||
يتطلب CrewAI `Python >=3.10, <3.14`. إذا كان `uv` مثبَّتًا مقابل مفسّر أقدم، فأعد إنشاء venv للمشروع باستخدام إصدار Python مدعوم قبل تشغيل `crewai install`.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## التغييرات الجذرية وملاحظات الترحيل
|
||||
|
||||
تتطلب معظم الترقيات تعديلات صغيرة فقط. المناطق أدناه هي تلك التي تنكسر بصمت أو بتتبعات مكدّس مربكة.
|
||||
|
||||
### مسارات الاستيراد: tools و`BaseTool`
|
||||
|
||||
الموقع الرسمي لاستيراد الـ tools هو `crewai.tools`. لا تزال المسارات القديمة تظهر في الدروس لكن يجب تحديثها.
|
||||
|
||||
```python
|
||||
# قبل
|
||||
from crewai_tools import BaseTool
|
||||
from crewai.agents.tools import tool
|
||||
|
||||
# بعد
|
||||
from crewai.tools import BaseTool, tool
|
||||
```
|
||||
|
||||
كلٌ من المُزخرف `@tool` والفئة الفرعية `BaseTool` يقعان في `crewai.tools`. `AgentFinish` والرموز الأخرى الداخلية للوكيل لم تعد جزءًا من السطح العام — إذا كنت تستوردها، فانتقل إلى event listeners أو callbacks الـ `Task` بدلًا منها.
|
||||
|
||||
### تغييرات معاملات `Agent`
|
||||
|
||||
```python
|
||||
from crewai import Agent
|
||||
|
||||
agent = Agent(
|
||||
role="Researcher",
|
||||
goal="Find authoritative sources on {topic}",
|
||||
backstory="You are a careful, source-driven researcher.",
|
||||
llm="gpt-4o-mini", # اسم نموذج كسلسلة نصية أو كائن LLM
|
||||
verbose=True, # bool وليس مستوى عددي صحيح
|
||||
max_iter=15, # تغيّر الافتراضي بين الإصدارات — حدّده بشكل صريح
|
||||
allow_delegation=False,
|
||||
)
|
||||
```
|
||||
|
||||
- يقبل `llm` إما اسم نموذج كسلسلة نصية (يُحلَّ عبر المزوّد المهيّأ) أو كائن `LLM` للتحكم الدقيق.
|
||||
- `verbose` هو `bool` بسيط. تمرير عدد صحيح لم يعد يبدّل مستويات السجل.
|
||||
- تغيّرت افتراضات `max_iter` بين الإصدارات. إذا توقف وكيلك بصمت عن التكرار بعد أول استدعاء tool، فحدّد `max_iter` صراحةً.
|
||||
|
||||
### معاملات `Crew`
|
||||
|
||||
```python
|
||||
from crewai import Crew, Process
|
||||
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
process=Process.sequential, # أو Process.hierarchical
|
||||
memory=True,
|
||||
cache=True,
|
||||
embedder={"provider": "openai", "config": {"model": "text-embedding-3-small"}},
|
||||
)
|
||||
```
|
||||
|
||||
- يتطلب `process=Process.hierarchical` إما `manager_llm=` أو `manager_agent=`. بدون أحدهما، يرفع kickoff خطأً عند التحقّق.
|
||||
- `memory=True` مع مزوّد embedding غير افتراضي يحتاج إلى قاموس `embedder` — راجع [إعداد الذاكرة وembedder](#memory-embedder-config) أدناه.
|
||||
|
||||
### الإخراج المُهيكل لـ `Task`
|
||||
|
||||
استخدم `output_pydantic` أو `output_json` أو `output_file` لإلزام نتيجة المهمة بشكل مكتوب الأنواع:
|
||||
|
||||
```python
|
||||
from pydantic import BaseModel
|
||||
from crewai import Task
|
||||
|
||||
class Article(BaseModel):
|
||||
title: str
|
||||
body: str
|
||||
|
||||
write = Task(
|
||||
description="Write an article about {topic}",
|
||||
expected_output="A short article with a title and body",
|
||||
agent=writer,
|
||||
output_pydantic=Article, # الفئة، وليس مثيلًا منها
|
||||
output_file="output/article.md",
|
||||
)
|
||||
```
|
||||
|
||||
`output_pydantic` يأخذ **الفئة** نفسها. تمرير `Article(title="", body="")` خطأ شائع ويفشل بخطأ تحقّق مربك.
|
||||
|
||||
### إعداد الذاكرة وembedder {#memory-embedder-config}
|
||||
|
||||
إذا كان `memory=True` وأنت لا تستخدم embeddings الافتراضية الخاصة بـ OpenAI، فيجب أن تمرّر `embedder`:
|
||||
|
||||
```python
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
memory=True,
|
||||
embedder={
|
||||
"provider": "ollama",
|
||||
"config": {"model": "nomic-embed-text"},
|
||||
},
|
||||
)
|
||||
```
|
||||
|
||||
ضع بيانات اعتماد المزوّد المعنيّة (`OPENAI_API_KEY`, `OLLAMA_HOST`, إلخ) في ملف `.env`. مسارات تخزين الذاكرة محلية بالنسبة للمشروع افتراضيًا — احذف مجلد ذاكرة المشروع إذا غيّرت embedders، لأن الأبعاد لا تختلط.
|
||||
@@ -13,7 +13,7 @@ The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compu
|
||||
|
||||
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
|
||||
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox; also supports `move`, `find` (content grep), `search` (filename glob), `chmod` (permissions), `replace` (bulk find-and-replace), and `exists`.
|
||||
|
||||
All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
|
||||
|
||||
@@ -55,7 +55,7 @@ from crewai_tools import DaytonaPythonTool
|
||||
tool = DaytonaPythonTool()
|
||||
result = tool.run(code="print(sum(range(10)))")
|
||||
print(result)
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": None}
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": ExecutionArtifacts(stdout="45\n", charts=[])}
|
||||
```
|
||||
|
||||
### Multi-step shell session (persistent)
|
||||
@@ -63,17 +63,22 @@ print(result)
|
||||
```python Code
|
||||
from crewai_tools import DaytonaExecTool, DaytonaFileTool
|
||||
|
||||
# Create the persistent sandbox via the first tool, then attach the second
|
||||
# tool to it so both share state (installed packages, files, env vars).
|
||||
exec_tool = DaytonaExecTool(persistent=True)
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Install a package, then write and run a script — all in the same sandbox
|
||||
exec_tool.run(command="pip install httpx -q")
|
||||
file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
|
||||
exec_tool.run(command="python /workspace/fetch.py")
|
||||
file_tool = DaytonaFileTool(sandbox_id=exec_tool.active_sandbox_id)
|
||||
|
||||
file_tool.run(
|
||||
action="write",
|
||||
path="workspace/script.py",
|
||||
content="import httpx; print(f'httpx loaded, version {httpx.__version__}')",
|
||||
)
|
||||
exec_tool.run(command="python workspace/script.py")
|
||||
```
|
||||
|
||||
<Note>
|
||||
Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
|
||||
By default, each tool with `persistent=True` lazily creates its **own** sandbox on first use. The pattern above shares a single sandbox across multiple tools by reading the first tool's `active_sandbox_id` after a `.run()` call and passing it to the others via `sandbox_id=...`. With `persistent=False` (the default), every `.run()` call gets a fresh sandbox that's deleted at the end of that call.
|
||||
</Note>
|
||||
|
||||
### Attach to an existing sandbox
|
||||
@@ -82,7 +87,7 @@ Each tool instance maintains its own persistent sandbox. To share **one** sandbo
|
||||
from crewai_tools import DaytonaExecTool
|
||||
|
||||
tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
|
||||
result = tool.run(command="ls /workspace")
|
||||
result = tool.run(command="ls workspace")
|
||||
```
|
||||
|
||||
### Custom sandbox parameters
|
||||
@@ -102,6 +107,41 @@ tool = DaytonaExecTool(
|
||||
)
|
||||
```
|
||||
|
||||
### Searching, moving, and modifying files
|
||||
|
||||
```python Code
|
||||
from crewai_tools import DaytonaFileTool
|
||||
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Find every TODO in the source tree (grep file contents recursively)
|
||||
file_tool.run(action="find", path="workspace/src", pattern="TODO:")
|
||||
|
||||
# Find all Python files (glob match on filenames)
|
||||
file_tool.run(action="search", path="workspace", pattern="*.py")
|
||||
|
||||
# Make a script executable
|
||||
file_tool.run(action="chmod", path="workspace/run.sh", mode="755")
|
||||
|
||||
# Rename or move a file
|
||||
file_tool.run(
|
||||
action="move",
|
||||
path="workspace/draft.md",
|
||||
destination="workspace/final.md",
|
||||
)
|
||||
|
||||
# Bulk find-and-replace across multiple files
|
||||
file_tool.run(
|
||||
action="replace",
|
||||
paths=["workspace/src/a.py", "workspace/src/b.py"],
|
||||
pattern="old_function",
|
||||
replacement="new_function",
|
||||
)
|
||||
|
||||
# Quick existence check before a destructive op
|
||||
file_tool.run(action="exists", path="workspace/cache.db")
|
||||
```
|
||||
|
||||
### Agent integration
|
||||
|
||||
```python Code
|
||||
@@ -121,7 +161,7 @@ coder = Agent(
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to workspace/fib.py, and run it.",
|
||||
expected_output="The first 10 Fibonacci numbers printed to stdout.",
|
||||
agent=coder,
|
||||
)
|
||||
@@ -168,12 +208,22 @@ All three tools accept these parameters at initialization:
|
||||
|
||||
| Parameter | Type | Required | Description |
|
||||
|-----------|------|----------|-------------|
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
|
||||
| `path` | `str` | ✓ | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | | Content to write or append. Required for `append`. |
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`, `exists`, `move`, `find`, `search`, `chmod`, `replace`. |
|
||||
| `path` | `str \| None` | ✓ for all actions except `replace` | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | ✓ for `append` | Content to write or append. |
|
||||
| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
|
||||
| `recursive` | `bool` | | For `delete`: remove directories recursively. |
|
||||
| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
|
||||
| `mode` | `str \| None` | | For `mkdir`: octal permissions for the new directory (defaults to `"0755"`). For `chmod`: octal permissions to apply to the target. |
|
||||
| `destination` | `str \| None` | ✓ for `move` | Destination path for `move`. |
|
||||
| `pattern` | `str \| None` | ✓ for `find`, `search`, `replace` | For `find`: substring matched against file CONTENTS. For `search`: glob matched against file NAMES (e.g. `*.py`). For `replace`: text to replace inside files. |
|
||||
| `replacement` | `str \| None` | ✓ for `replace` | Replacement text for `pattern`. |
|
||||
| `paths` | `list[str] \| None` | ✓ for `replace` | List of file paths in which to replace text. |
|
||||
| `owner` | `str \| None` | | For `chmod`: new file owner. |
|
||||
| `group` | `str \| None` | | For `chmod`: new file group. |
|
||||
|
||||
<Note>
|
||||
For `chmod`, pass at least one of `mode`, `owner`, or `group` — any field left as `None` is left unchanged on the target.
|
||||
</Note>
|
||||
|
||||
<Tip>
|
||||
For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
|
||||
|
||||
243
docs/docs.json
243
docs/docs.json
@@ -114,7 +114,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -144,7 +145,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -283,6 +285,7 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
@@ -595,7 +598,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -764,6 +768,7 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
@@ -1076,7 +1081,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1210,6 +1216,8 @@
|
||||
"en/tools/search-research/youtubevideosearchtool",
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -1555,7 +1563,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1585,7 +1594,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -1690,6 +1700,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -1724,8 +1735,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2036,7 +2047,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2066,7 +2078,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -2171,6 +2184,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -2205,8 +2219,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2517,7 +2531,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2547,7 +2562,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -2652,6 +2668,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -2686,8 +2703,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2998,7 +3015,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3028,7 +3046,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -3133,6 +3152,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -3167,8 +3187,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3479,7 +3499,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3509,7 +3530,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -3613,6 +3635,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -3647,8 +3670,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3958,7 +3981,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3988,7 +4012,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -4092,6 +4117,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -4126,8 +4152,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -4437,7 +4463,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -4467,7 +4494,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -4571,6 +4599,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -4605,8 +4634,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -4917,7 +4946,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -4947,7 +4977,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -5050,6 +5081,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -5084,8 +5116,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -5398,7 +5430,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -5428,7 +5461,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -5531,6 +5565,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -5565,8 +5600,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -5877,7 +5912,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"en/guides/flows/first-flow",
|
||||
"en/guides/flows/mastering-flow-state"
|
||||
"en/guides/flows/mastering-flow-state",
|
||||
"en/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -5907,7 +5943,8 @@
|
||||
"group": "Migration",
|
||||
"icon": "shuffle",
|
||||
"pages": [
|
||||
"en/guides/migration/migrating-from-langgraph"
|
||||
"en/guides/migration/migrating-from-langgraph",
|
||||
"en/guides/migration/upgrading-crewai"
|
||||
]
|
||||
}
|
||||
]
|
||||
@@ -6011,6 +6048,7 @@
|
||||
"en/tools/search-research/tavilysearchtool",
|
||||
"en/tools/search-research/tavilyextractortool",
|
||||
"en/tools/search-research/tavilyresearchtool",
|
||||
"en/tools/search-research/tavilygetresearchtool",
|
||||
"en/tools/search-research/arxivpapertool",
|
||||
"en/tools/search-research/serpapi-googlesearchtool",
|
||||
"en/tools/search-research/serpapi-googleshoppingtool",
|
||||
@@ -6045,8 +6083,8 @@
|
||||
"en/tools/ai-ml/langchaintool",
|
||||
"en/tools/ai-ml/ragtool",
|
||||
"en/tools/ai-ml/codeinterpretertool",
|
||||
"en/tools/ai-ml/e2bsandboxtools",
|
||||
"en/tools/ai-ml/daytona"
|
||||
"en/tools/ai-ml/daytona",
|
||||
"en/tools/ai-ml/e2bsandboxtools"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -6389,7 +6427,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -6849,7 +6888,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -7309,7 +7349,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -7768,7 +7809,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -8228,7 +8270,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -8688,7 +8731,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -9148,7 +9192,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -9608,7 +9653,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -10067,7 +10113,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -10526,7 +10573,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -10985,7 +11033,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -11443,7 +11492,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -11901,7 +11951,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"pt-BR/guides/flows/first-flow",
|
||||
"pt-BR/guides/flows/mastering-flow-state"
|
||||
"pt-BR/guides/flows/mastering-flow-state",
|
||||
"pt-BR/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -12390,7 +12441,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -12862,7 +12914,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -13334,7 +13387,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -13806,7 +13860,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -14279,7 +14334,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -14752,7 +14808,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -15225,7 +15282,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -15698,7 +15756,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -16170,7 +16229,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -16642,7 +16702,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -17114,7 +17175,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -17585,7 +17647,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -18056,7 +18119,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ko/guides/flows/first-flow",
|
||||
"ko/guides/flows/mastering-flow-state"
|
||||
"ko/guides/flows/mastering-flow-state",
|
||||
"ko/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -18558,7 +18622,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -19030,7 +19095,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -19502,7 +19568,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -19974,7 +20041,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -20447,7 +20515,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -20920,7 +20989,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -21393,7 +21463,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -21866,7 +21937,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -22338,7 +22410,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -22810,7 +22883,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -23282,7 +23356,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -23753,7 +23828,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -24224,7 +24300,8 @@
|
||||
"icon": "code-branch",
|
||||
"pages": [
|
||||
"ar/guides/flows/first-flow",
|
||||
"ar/guides/flows/mastering-flow-state"
|
||||
"ar/guides/flows/mastering-flow-state",
|
||||
"ar/guides/flows/inputs-id-deprecation"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -26,7 +26,7 @@ Welcome to the CrewAI AMP API reference. This API allows you to programmatically
|
||||
</Step>
|
||||
|
||||
<Step title="Monitor Progress">
|
||||
Use `GET /{kickoff_id}/status` to check execution status and retrieve results.
|
||||
Use `GET /status/{kickoff_id}` to check execution status and retrieve results.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
@@ -65,7 +65,7 @@ Replace `your-crew-name` with your actual crew's URL from the dashboard.
|
||||
|
||||
1. **Discovery**: Call `GET /inputs` to understand what your crew needs
|
||||
2. **Execution**: Submit inputs via `POST /kickoff` to start processing
|
||||
3. **Monitoring**: Poll `GET /{kickoff_id}/status` until completion
|
||||
3. **Monitoring**: Poll `GET /status/{kickoff_id}` until completion
|
||||
4. **Results**: Extract the final output from the completed response
|
||||
|
||||
## Error Handling
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
title: "GET /{kickoff_id}/status"
|
||||
title: "GET /status/{kickoff_id}"
|
||||
description: "Get execution status"
|
||||
openapi: "/enterprise-api.en.yaml GET /{kickoff_id}/status"
|
||||
openapi: "/enterprise-api.en.yaml GET /status/{kickoff_id}"
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
@@ -4,6 +4,80 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="May 13, 2026">
|
||||
## v1.14.5a5
|
||||
|
||||
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a5)
|
||||
|
||||
## What's Changed
|
||||
|
||||
### Features
|
||||
- Deprecate CrewAgentExecutor, default Crew agents to AgentExecutor
|
||||
- Improve Daytona sandbox tools
|
||||
|
||||
### Bug Fixes
|
||||
- Fix missing code block in pt-BR first-flow guide
|
||||
- Log HITL pre-review and distillation failures, add learn_strict
|
||||
- Patch urllib3 for security vulnerabilities
|
||||
- Patch gitpython and langchain-core; ignore unpatched paramiko CVE
|
||||
- Refresh all published workspace packages on uv lock/sync
|
||||
|
||||
### Documentation
|
||||
- Add migration guide for `inputs.id` to `restoreFromStateId`
|
||||
- Add OSS upgrade and crew-to-flow migration guide
|
||||
- Update changelog and version for v1.14.5a4
|
||||
|
||||
## Contributors
|
||||
|
||||
@akaKuruma, @greysonlalonde, @iris-clawd, @lorenzejay, @mislavivanda
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="May 09, 2026">
|
||||
## v1.14.5a4
|
||||
|
||||
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a4)
|
||||
|
||||
## What's Changed
|
||||
|
||||
### Features
|
||||
- Update LLM listings
|
||||
|
||||
### Bug Fixes
|
||||
- Fix dependency issue by moving `textual` to `crewai-cli` and adding `certifi`
|
||||
|
||||
### Documentation
|
||||
- Update changelog and version for v1.14.5a3
|
||||
|
||||
## Contributors
|
||||
|
||||
@cgoeppinger, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="May 07, 2026">
|
||||
## v1.14.5a3
|
||||
|
||||
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a3)
|
||||
|
||||
## What's Changed
|
||||
|
||||
### Bug Fixes
|
||||
- Fix status endpoint path from /{kickoff_id}/status to /status/{kickoff_id}
|
||||
- Bump gitpython dependency to version >=3.1.47 for security compliance
|
||||
|
||||
### Refactoring
|
||||
- Extract CLI into standalone crewai-cli package
|
||||
|
||||
### Documentation
|
||||
- Update changelog and version for v1.14.5a2
|
||||
|
||||
## Contributors
|
||||
|
||||
@greysonlalonde, @iris-clawd
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="May 04, 2026">
|
||||
## v1.14.5a2
|
||||
|
||||
|
||||
@@ -29,6 +29,7 @@ from crewai.flow.flow import Flow, listen, start
|
||||
from dotenv import load_dotenv
|
||||
from litellm import completion
|
||||
|
||||
load_dotenv()
|
||||
|
||||
class ExampleFlow(Flow):
|
||||
model = "gpt-4o-mini"
|
||||
|
||||
143
docs/en/guides/flows/inputs-id-deprecation.mdx
Normal file
143
docs/en/guides/flows/inputs-id-deprecation.mdx
Normal file
@@ -0,0 +1,143 @@
|
||||
---
|
||||
title: "Migrating from inputs.id to restore_from_state_id"
|
||||
description: "Move @persist flows off the deprecated inputs.id hydration onto the supported restore_from_state_id field"
|
||||
icon: "arrow-right-arrow-left"
|
||||
---
|
||||
|
||||
<Warning>
|
||||
Passing `id` inside `inputs` to hydrate a `@persist` flow is **deprecated** and
|
||||
scheduled for removal in a future release. The replacement, `restore_from_state_id`,
|
||||
is available in CrewAI **v1.14.5 and later** — the steps below apply once you
|
||||
upgrade.
|
||||
</Warning>
|
||||
|
||||
## Overview
|
||||
|
||||
The documented way to hydrate a `@persist` flow from a previous execution is to pass
|
||||
that execution's UUID as `inputs.id`. CrewAI now exposes a dedicated field,
|
||||
`restore_from_state_id`, that performs the same hydration without overloading the
|
||||
`inputs` payload — and without coupling the hydration key to the new execution's
|
||||
identity.
|
||||
|
||||
## Migration
|
||||
|
||||
If you currently kickoff a `@persist` flow with `inputs={"id": ...}`:
|
||||
|
||||
```python
|
||||
# Deprecated
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(inputs={"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv"})
|
||||
```
|
||||
|
||||
Switch to `restore_from_state_id`:
|
||||
|
||||
```python
|
||||
# Supported
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(restore_from_state_id="abcd1234-5678-90ef-ghij-klmnopqrstuv")
|
||||
```
|
||||
|
||||
The two modes have different lineage semantics:
|
||||
|
||||
- `inputs={"id": <uuid>}` (deprecated) — **resume**: writes land under the supplied
|
||||
id, extending the same `flow_uuid` history.
|
||||
- `restore_from_state_id=<uuid>` — **fork**: hydrates state from the snapshot, then
|
||||
writes under a fresh `state.id`. The source flow's history is preserved.
|
||||
|
||||
For most production scenarios — re-running a flow seeded from a previous state — fork
|
||||
is what you want. See [Mastering Flow State](/en/guides/flows/mastering-flow-state)
|
||||
for the full mental model.
|
||||
|
||||
If you kickoff your flow over the CrewAI AMP REST API, see [AMP](#amp) below for the
|
||||
equivalent payload migration.
|
||||
|
||||
## Why we are deprecating `inputs.id` for `@persist`
|
||||
|
||||
`inputs.id` is currently the documented way to resume a `@persist` flow from a
|
||||
previous execution. The problem is that the same UUID does two jobs at once:
|
||||
|
||||
1. **It selects which snapshot `@persist` hydrates from** — load the state saved
|
||||
under that UUID.
|
||||
2. **It becomes the new execution's Flow Execution ID** (`state.id` in the SDK;
|
||||
surfaced as `flow_id` in some contexts) — every `@persist` write from this
|
||||
kickoff also lands under that same UUID.
|
||||
|
||||
This dual role is the root cause of the issues this guide describes. Because the
|
||||
supplied UUID is also the new execution's id, two kickoffs that pass the same
|
||||
`inputs.id` are not two distinct executions — they share an id, share a persistence
|
||||
record, and (on AMP) share a row in the executions list. There is no way to say
|
||||
"hydrate from this snapshot, but record this run separately" without splitting the
|
||||
two responsibilities.
|
||||
|
||||
`restore_from_state_id` is that split. It tells `@persist` which snapshot to hydrate
|
||||
from, while leaving the new execution free to receive a fresh `state.id`. The
|
||||
hydration source and the recorded run are no longer the same UUID — which is what
|
||||
most production scenarios actually want.
|
||||
|
||||
## Removal timeline
|
||||
|
||||
`inputs.id` for `@persist` hydration is scheduled for removal in a future release of
|
||||
CrewAI. There is no immediate hard cut-off — existing flows continue to work — but
|
||||
once you upgrade to v1.14.5 or later, new code should use `restore_from_state_id`, and
|
||||
existing flows should migrate at the next convenient opportunity.
|
||||
|
||||
## AMP
|
||||
|
||||
If you deploy your flow to CrewAI AMP, the migration extends to the kickoff payload
|
||||
sent to your deployed crew, and the visible symptoms of reusing `inputs.id` show up
|
||||
on the deployment dashboard. The two subsections below cover both.
|
||||
|
||||
### Migrating the kickoff payload
|
||||
|
||||
If you currently kickoff a deployed flow by embedding `id` in `inputs`:
|
||||
|
||||
```bash
|
||||
# Deprecated
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{"inputs": {"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv", "topic": "AI Agent Frameworks"}}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
Move the UUID to the top-level `restoreFromStateId` field:
|
||||
|
||||
```bash
|
||||
# Supported
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{
|
||||
"inputs": {"topic": "AI Agent Frameworks"},
|
||||
"restoreFromStateId": "abcd1234-5678-90ef-ghij-klmnopqrstuv"
|
||||
}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
`restoreFromStateId` sits next to `inputs` in the kickoff payload, not inside it. The
|
||||
`inputs` object now only carries values your flow actually consumes.
|
||||
|
||||
### What happens when `inputs.id` is reused
|
||||
|
||||
When AMP receives a kickoff for a flow whose `inputs.id` matches an existing
|
||||
execution, it resolves to the existing record rather than creating a new one. From
|
||||
the deployment dashboard you'll see:
|
||||
|
||||
- **Execution status** — the new run's status overwrites the previous run's. A
|
||||
finished execution can flip back to `running`, or a `completed` run can flip to
|
||||
`error` if the new kickoff fails — either way the dashboard no longer reflects
|
||||
the original run.
|
||||
- **Traces** — OTel traces stack across kickoffs because they share the same
|
||||
execution id; the previous run's traces are either replaced by, or mixed with,
|
||||
the new run's. A step-by-step replay no longer corresponds to a single execution.
|
||||
- **Executions list** — kickoffs that should appear as separate rows collapse into
|
||||
a single entry, hiding history.
|
||||
|
||||
Migrating to `restoreFromStateId` keeps every kickoff as its own execution — with
|
||||
its own status, traces, and row in the list — while still hydrating state from a
|
||||
previous run.
|
||||
|
||||
<Card title="Need Help?" icon="headset" href="mailto:support@crewai.com">
|
||||
Contact our support team if you're unsure which mode your flow needs or hit issues
|
||||
during the migration.
|
||||
</Card>
|
||||
@@ -313,9 +313,9 @@ flow1 = PersistentCounterFlow()
|
||||
result1 = flow1.kickoff()
|
||||
print(f"First run result: {result1}")
|
||||
|
||||
# Second run - state is automatically loaded
|
||||
# Second run - pass the ID to load the persisted state
|
||||
flow2 = PersistentCounterFlow()
|
||||
result2 = flow2.kickoff()
|
||||
result2 = flow2.kickoff(inputs={"id": flow1.state.id})
|
||||
print(f"Second run result: {result2}") # Will be higher due to persisted state
|
||||
```
|
||||
|
||||
|
||||
190
docs/en/guides/migration/upgrading-crewai.mdx
Normal file
190
docs/en/guides/migration/upgrading-crewai.mdx
Normal file
@@ -0,0 +1,190 @@
|
||||
---
|
||||
title: "Upgrading CrewAI"
|
||||
description: "How to upgrade CrewAI in your project and adapt to breaking changes between versions."
|
||||
icon: "arrow-up-circle"
|
||||
---
|
||||
|
||||
## Overview
|
||||
|
||||
CrewAI releases ship new capabilities regularly. This guide walks you through the practical steps to keep your installation up to date — both the CLI and your project's virtual environment.
|
||||
|
||||
If you're starting fresh, see [Installation](/en/installation). If you're coming from another framework, see [Migrating from LangGraph](/en/guides/migration/migrating-from-langgraph).
|
||||
|
||||
---
|
||||
|
||||
## The Two Things You Might Want to Upgrade
|
||||
|
||||
CrewAI lives in two places on your machine, and they upgrade independently:
|
||||
|
||||
| What | How it's installed | How to upgrade |
|
||||
|---|---|---|
|
||||
| The **global `crewai` CLI** | `uv tool install crewai` | `uv tool install crewai --upgrade` |
|
||||
| The **project venv** (what your code runs) | `crewai install` / `uv sync` | `uv add "crewai[...]>=X.Y.Z"` then `crewai install` |
|
||||
|
||||
These can — and often do — get out of sync. Running `crewai --version` tells you the CLI version. Running `uv pip show crewai` inside your project tells you the venv version. If they differ, that's normal; what matters for your running code is the venv version.
|
||||
|
||||
## Why `crewai install` Alone Doesn't Upgrade
|
||||
|
||||
`crewai install` is a thin wrapper around `uv sync`. It installs exactly what the current `uv.lock` file says — it does **not** bump any version constraints.
|
||||
|
||||
If your `pyproject.toml` says `crewai>=1.11.1` and the lock file resolved to `1.11.1`, running `crewai install` will keep you on `1.11.1` forever, even if `1.14.4` is available.
|
||||
|
||||
To actually upgrade, you need to:
|
||||
|
||||
1. Update the version constraint in `pyproject.toml`
|
||||
2. Re-solve the lock file
|
||||
3. Sync the venv
|
||||
|
||||
`uv add` does all three in one shot.
|
||||
|
||||
## How to Upgrade Your Project
|
||||
|
||||
```bash
|
||||
# Bump the constraint and re-lock in one command
|
||||
uv add "crewai[tools]>=1.14.4"
|
||||
|
||||
# Sync the venv (crewai install calls uv sync under the hood)
|
||||
crewai install
|
||||
|
||||
# Verify
|
||||
uv pip show crewai
|
||||
# → Version: 1.14.4
|
||||
```
|
||||
|
||||
Replace `[tools]` with whatever extras your project uses (e.g. `[tools,anthropic]`). Check your `pyproject.toml` `dependencies` list if you're unsure.
|
||||
|
||||
<Note>
|
||||
`uv add` updates both `pyproject.toml` **and** `uv.lock` atomically. If you edit `pyproject.toml` manually, you still need to run `uv lock --upgrade-package crewai` to re-solve the lock file before `crewai install` will pick up the new version.
|
||||
</Note>
|
||||
|
||||
## Upgrading the Global CLI
|
||||
|
||||
The global CLI is separate from your project. Upgrade it with:
|
||||
|
||||
```bash
|
||||
uv tool install crewai --upgrade
|
||||
```
|
||||
|
||||
If your shell warns about `PATH` after the upgrade, refresh it:
|
||||
|
||||
```bash
|
||||
uv tool update-shell
|
||||
```
|
||||
|
||||
This does **not** touch your project's venv — you still need `uv add` + `crewai install` inside the project.
|
||||
|
||||
## Verify Both Are in Sync
|
||||
|
||||
```bash
|
||||
# Global CLI version
|
||||
crewai --version
|
||||
|
||||
# Project venv version
|
||||
uv pip show crewai | grep Version
|
||||
```
|
||||
|
||||
They don't need to match — but your project venv version is what matters for runtime behavior.
|
||||
|
||||
<Note>
|
||||
CrewAI requires `Python >=3.10, <3.14`. If `uv` was installed against an older interpreter, recreate the project venv with a supported Python before running `crewai install`.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## Breaking Changes & Migration Notes
|
||||
|
||||
Most upgrades only require small adjustments. The areas below are the ones that break silently or with confusing tracebacks.
|
||||
|
||||
### Import paths: tools and `BaseTool`
|
||||
|
||||
The canonical import location for tools is `crewai.tools`. Older paths still surface in tutorials but should be updated.
|
||||
|
||||
```python
|
||||
# Before
|
||||
from crewai_tools import BaseTool
|
||||
from crewai.agents.tools import tool
|
||||
|
||||
# After
|
||||
from crewai.tools import BaseTool, tool
|
||||
```
|
||||
|
||||
The `@tool` decorator and `BaseTool` subclass both live in `crewai.tools`. `AgentFinish` and other internal-agent symbols are no longer part of the public surface — if you were importing them, switch to event listeners or `Task` callbacks instead.
|
||||
|
||||
### `Agent` parameter changes
|
||||
|
||||
```python
|
||||
from crewai import Agent
|
||||
|
||||
agent = Agent(
|
||||
role="Researcher",
|
||||
goal="Find authoritative sources on {topic}",
|
||||
backstory="You are a careful, source-driven researcher.",
|
||||
llm="gpt-4o-mini", # string model name OR an LLM object
|
||||
verbose=True, # bool, not an int level
|
||||
max_iter=15, # default has changed across versions — set explicitly
|
||||
allow_delegation=False,
|
||||
)
|
||||
```
|
||||
|
||||
- `llm` accepts either a string model name (resolved via the configured provider) or an `LLM` object for fine-grained control.
|
||||
- `verbose` is a plain `bool`. Passing an integer no longer toggles log levels.
|
||||
- `max_iter` defaults have shifted between releases. If your agent silently stops looping after the first tool call, set `max_iter` explicitly.
|
||||
|
||||
### `Crew` parameters
|
||||
|
||||
```python
|
||||
from crewai import Crew, Process
|
||||
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
process=Process.sequential, # or Process.hierarchical
|
||||
memory=True,
|
||||
cache=True,
|
||||
embedder={"provider": "openai", "config": {"model": "text-embedding-3-small"}},
|
||||
)
|
||||
```
|
||||
|
||||
- `process=Process.hierarchical` requires either `manager_llm=` or `manager_agent=`. Without one, kickoff raises at validation time.
|
||||
- `memory=True` with a non-default embedding provider needs an `embedder` dict — see [Memory & embedder config](#memory-embedder-config) below.
|
||||
|
||||
### `Task` structured output
|
||||
|
||||
Use `output_pydantic`, `output_json`, or `output_file` to coerce a task's result into a typed shape:
|
||||
|
||||
```python
|
||||
from pydantic import BaseModel
|
||||
from crewai import Task
|
||||
|
||||
class Article(BaseModel):
|
||||
title: str
|
||||
body: str
|
||||
|
||||
write = Task(
|
||||
description="Write an article about {topic}",
|
||||
expected_output="A short article with a title and body",
|
||||
agent=writer,
|
||||
output_pydantic=Article, # the class, NOT an instance
|
||||
output_file="output/article.md",
|
||||
)
|
||||
```
|
||||
|
||||
`output_pydantic` takes the **class** itself. Passing `Article(title="", body="")` is a common mistake and fails with a confusing validation error.
|
||||
|
||||
### Memory & embedder config {#memory-embedder-config}
|
||||
|
||||
If `memory=True` and you're not using the default OpenAI embeddings, you must pass an `embedder`:
|
||||
|
||||
```python
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
memory=True,
|
||||
embedder={
|
||||
"provider": "ollama",
|
||||
"config": {"model": "nomic-embed-text"},
|
||||
},
|
||||
)
|
||||
```
|
||||
|
||||
Set the relevant provider credentials (`OPENAI_API_KEY`, `OLLAMA_HOST`, etc.) in your `.env` file. Memory storage paths are project-local by default — delete the project's memory directory if you change embedders, since dimensions don't mix.
|
||||
@@ -106,6 +106,9 @@ If you haven't installed `uv` yet, follow **step 1** to quickly get it set up on
|
||||
```shell
|
||||
uv tool install crewai --upgrade
|
||||
```
|
||||
<Note>
|
||||
This upgrades the **global `crewai` CLI tool** only. To upgrade the `crewai` version inside your project's virtual environment, see [Upgrading CrewAI in a project](/en/guides/migration/upgrading-crewai).
|
||||
</Note>
|
||||
<Check>Installation successful! You're ready to create your first crew! 🎉</Check>
|
||||
</Step>
|
||||
|
||||
|
||||
@@ -13,7 +13,7 @@ The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compu
|
||||
|
||||
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
|
||||
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox; also supports `move`, `find` (content grep), `search` (filename glob), `chmod` (permissions), `replace` (bulk find-and-replace), and `exists`.
|
||||
|
||||
All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
|
||||
|
||||
@@ -55,7 +55,7 @@ from crewai_tools import DaytonaPythonTool
|
||||
tool = DaytonaPythonTool()
|
||||
result = tool.run(code="print(sum(range(10)))")
|
||||
print(result)
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": None}
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": ExecutionArtifacts(stdout="45\n", charts=[])}
|
||||
```
|
||||
|
||||
### Multi-step shell session (persistent)
|
||||
@@ -63,17 +63,22 @@ print(result)
|
||||
```python Code
|
||||
from crewai_tools import DaytonaExecTool, DaytonaFileTool
|
||||
|
||||
# Create the persistent sandbox via the first tool, then attach the second
|
||||
# tool to it so both share state (installed packages, files, env vars).
|
||||
exec_tool = DaytonaExecTool(persistent=True)
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Install a package, then write and run a script — all in the same sandbox
|
||||
exec_tool.run(command="pip install httpx -q")
|
||||
file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
|
||||
exec_tool.run(command="python /workspace/fetch.py")
|
||||
file_tool = DaytonaFileTool(sandbox_id=exec_tool.active_sandbox_id)
|
||||
|
||||
file_tool.run(
|
||||
action="write",
|
||||
path="workspace/script.py",
|
||||
content="import httpx; print(f'httpx loaded, version {httpx.__version__}')",
|
||||
)
|
||||
exec_tool.run(command="python workspace/script.py")
|
||||
```
|
||||
|
||||
<Note>
|
||||
Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
|
||||
By default, each tool with `persistent=True` lazily creates its **own** sandbox on first use. The pattern above shares a single sandbox across multiple tools by reading the first tool's `active_sandbox_id` after a `.run()` call and passing it to the others via `sandbox_id=...`. With `persistent=False` (the default), every `.run()` call gets a fresh sandbox that's deleted at the end of that call.
|
||||
</Note>
|
||||
|
||||
### Attach to an existing sandbox
|
||||
@@ -82,7 +87,7 @@ Each tool instance maintains its own persistent sandbox. To share **one** sandbo
|
||||
from crewai_tools import DaytonaExecTool
|
||||
|
||||
tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
|
||||
result = tool.run(command="ls /workspace")
|
||||
result = tool.run(command="ls workspace")
|
||||
```
|
||||
|
||||
### Custom sandbox parameters
|
||||
@@ -102,6 +107,41 @@ tool = DaytonaExecTool(
|
||||
)
|
||||
```
|
||||
|
||||
### Searching, moving, and modifying files
|
||||
|
||||
```python Code
|
||||
from crewai_tools import DaytonaFileTool
|
||||
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Find every TODO in the source tree (grep file contents recursively)
|
||||
file_tool.run(action="find", path="workspace/src", pattern="TODO:")
|
||||
|
||||
# Find all Python files (glob match on filenames)
|
||||
file_tool.run(action="search", path="workspace", pattern="*.py")
|
||||
|
||||
# Make a script executable
|
||||
file_tool.run(action="chmod", path="workspace/run.sh", mode="755")
|
||||
|
||||
# Rename or move a file
|
||||
file_tool.run(
|
||||
action="move",
|
||||
path="workspace/draft.md",
|
||||
destination="workspace/final.md",
|
||||
)
|
||||
|
||||
# Bulk find-and-replace across multiple files
|
||||
file_tool.run(
|
||||
action="replace",
|
||||
paths=["workspace/src/a.py", "workspace/src/b.py"],
|
||||
pattern="old_function",
|
||||
replacement="new_function",
|
||||
)
|
||||
|
||||
# Quick existence check before a destructive op
|
||||
file_tool.run(action="exists", path="workspace/cache.db")
|
||||
```
|
||||
|
||||
### Agent integration
|
||||
|
||||
```python Code
|
||||
@@ -121,7 +161,7 @@ coder = Agent(
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to workspace/fib.py, and run it.",
|
||||
expected_output="The first 10 Fibonacci numbers printed to stdout.",
|
||||
agent=coder,
|
||||
)
|
||||
@@ -168,12 +208,22 @@ All three tools accept these parameters at initialization:
|
||||
|
||||
| Parameter | Type | Required | Description |
|
||||
|-----------|------|----------|-------------|
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
|
||||
| `path` | `str` | ✓ | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | | Content to write or append. Required for `append`. |
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`, `exists`, `move`, `find`, `search`, `chmod`, `replace`. |
|
||||
| `path` | `str \| None` | ✓ for all actions except `replace` | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | ✓ for `append` | Content to write or append. |
|
||||
| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
|
||||
| `recursive` | `bool` | | For `delete`: remove directories recursively. |
|
||||
| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
|
||||
| `mode` | `str \| None` | | For `mkdir`: octal permissions for the new directory (defaults to `"0755"`). For `chmod`: octal permissions to apply to the target. |
|
||||
| `destination` | `str \| None` | ✓ for `move` | Destination path for `move`. |
|
||||
| `pattern` | `str \| None` | ✓ for `find`, `search`, `replace` | For `find`: substring matched against file CONTENTS. For `search`: glob matched against file NAMES (e.g. `*.py`). For `replace`: text to replace inside files. |
|
||||
| `replacement` | `str \| None` | ✓ for `replace` | Replacement text for `pattern`. |
|
||||
| `paths` | `list[str] \| None` | ✓ for `replace` | List of file paths in which to replace text. |
|
||||
| `owner` | `str \| None` | | For `chmod`: new file owner. |
|
||||
| `group` | `str \| None` | | For `chmod`: new file group. |
|
||||
|
||||
<Note>
|
||||
For `chmod`, pass at least one of `mode`, `owner`, or `group` — any field left as `None` is left unchanged on the target.
|
||||
</Note>
|
||||
|
||||
<Tip>
|
||||
For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
|
||||
|
||||
@@ -54,6 +54,14 @@ These tools enable your agents to search the web, research topics, and find info
|
||||
Extract structured content from web pages using the Tavily API.
|
||||
</Card>
|
||||
|
||||
<Card title="Tavily Research Tool" icon="flask" href="/en/tools/search-research/tavilyresearchtool">
|
||||
Run multi-step research tasks and get cited reports using the Tavily Research API.
|
||||
</Card>
|
||||
|
||||
<Card title="Tavily Get Research Tool" icon="clipboard-list" href="/en/tools/search-research/tavilygetresearchtool">
|
||||
Retrieve the status and results of an existing Tavily research task.
|
||||
</Card>
|
||||
|
||||
<Card title="Arxiv Paper Tool" icon="box-archive" href="/en/tools/search-research/arxivpapertool">
|
||||
Search arXiv and optionally download PDFs.
|
||||
</Card>
|
||||
@@ -76,7 +84,15 @@ These tools enable your agents to search the web, research topics, and find info
|
||||
- **Academic Research**: Find scholarly articles and technical papers
|
||||
|
||||
```python
|
||||
from crewai_tools import SerperDevTool, GitHubSearchTool, YoutubeVideoSearchTool, TavilySearchTool, TavilyExtractorTool
|
||||
from crewai_tools import (
|
||||
GitHubSearchTool,
|
||||
SerperDevTool,
|
||||
TavilyExtractorTool,
|
||||
TavilyGetResearchTool,
|
||||
TavilyResearchTool,
|
||||
TavilySearchTool,
|
||||
YoutubeVideoSearchTool,
|
||||
)
|
||||
|
||||
# Create research tools
|
||||
web_search = SerperDevTool()
|
||||
@@ -84,11 +100,21 @@ code_search = GitHubSearchTool()
|
||||
video_research = YoutubeVideoSearchTool()
|
||||
tavily_search = TavilySearchTool()
|
||||
content_extractor = TavilyExtractorTool()
|
||||
tavily_research = TavilyResearchTool()
|
||||
tavily_get_research = TavilyGetResearchTool()
|
||||
|
||||
# Add to your agent
|
||||
agent = Agent(
|
||||
role="Research Analyst",
|
||||
tools=[web_search, code_search, video_research, tavily_search, content_extractor],
|
||||
tools=[
|
||||
web_search,
|
||||
code_search,
|
||||
video_research,
|
||||
tavily_search,
|
||||
content_extractor,
|
||||
tavily_research,
|
||||
tavily_get_research,
|
||||
],
|
||||
goal="Gather comprehensive information on any topic"
|
||||
)
|
||||
```
|
||||
|
||||
85
docs/en/tools/search-research/tavilygetresearchtool.mdx
Normal file
85
docs/en/tools/search-research/tavilygetresearchtool.mdx
Normal file
@@ -0,0 +1,85 @@
|
||||
---
|
||||
title: "Tavily Get Research Tool"
|
||||
description: "Retrieve the status and results of an existing Tavily research task"
|
||||
icon: "clipboard-list"
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
The `TavilyGetResearchTool` lets CrewAI agents check an existing Tavily research task by `request_id`. Use it when a research task was started earlier and you need to retrieve its current status or final results.
|
||||
|
||||
If you need to start a new research job, use the [Tavily Research Tool](/en/tools/search-research/tavilyresearchtool). This tool is specifically for looking up an existing Tavily research request after you already have its `request_id`.
|
||||
|
||||
## Installation
|
||||
|
||||
To use the `TavilyGetResearchTool`, install the `tavily-python` library alongside `crewai-tools`:
|
||||
|
||||
```shell
|
||||
uv add 'crewai[tools]' tavily-python
|
||||
```
|
||||
|
||||
## Environment Variables
|
||||
|
||||
Set your Tavily API key:
|
||||
|
||||
```bash
|
||||
export TAVILY_API_KEY='your_tavily_api_key'
|
||||
```
|
||||
|
||||
Get an API key at [https://app.tavily.com/](https://app.tavily.com/) (sign up, then create a key).
|
||||
|
||||
## Example Usage
|
||||
|
||||
```python
|
||||
from crewai_tools import TavilyGetResearchTool
|
||||
|
||||
tavily_get_research_tool = TavilyGetResearchTool()
|
||||
|
||||
status_result = tavily_get_research_tool.run(
|
||||
request_id="your-research-request-id"
|
||||
)
|
||||
|
||||
print(status_result)
|
||||
```
|
||||
|
||||
## Common Workflow
|
||||
|
||||
Use `TavilyGetResearchTool` when your application or another service has already created a Tavily research task and saved its `request_id`.
|
||||
|
||||
Typical cases include:
|
||||
|
||||
- Polling for completion after kicking off research in a background job.
|
||||
- Looking up the latest status of a long-running research task.
|
||||
- Fetching final research output from a previously created Tavily request.
|
||||
|
||||
## Configuration Options
|
||||
|
||||
The `TavilyGetResearchTool` accepts the following argument when calling the `run` method:
|
||||
|
||||
- `request_id` (str): **Required.** The existing Tavily research request ID to retrieve.
|
||||
|
||||
## Async Usage
|
||||
|
||||
Use `_arun` when your application is already running inside an async event loop:
|
||||
|
||||
```python
|
||||
from crewai_tools import TavilyGetResearchTool
|
||||
|
||||
tavily_get_research_tool = TavilyGetResearchTool()
|
||||
|
||||
status_result = await tavily_get_research_tool._arun(
|
||||
request_id="your-research-request-id"
|
||||
)
|
||||
```
|
||||
|
||||
## Features
|
||||
|
||||
- **Research status retrieval**: Fetch the current status of an existing Tavily research task.
|
||||
- **Result retrieval**: Return available research output once Tavily has completed the task.
|
||||
- **Sync and async**: Use either `_run`/`run` or `_arun` depending on your application's runtime.
|
||||
- **JSON output**: Returns Tavily responses as formatted JSON strings.
|
||||
|
||||
## Response Format
|
||||
|
||||
The tool returns a JSON string containing the current research task status and any available results from Tavily. The exact response shape depends on the task state returned by Tavily, so incomplete tasks may return status information before the final research output is available.
|
||||
|
||||
Refer to the [Tavily API documentation](https://docs.tavily.com/) for full details on the Research API.
|
||||
@@ -35,7 +35,7 @@ info:
|
||||
|
||||
1. **Discover inputs** using `GET /inputs`
|
||||
2. **Start execution** using `POST /kickoff`
|
||||
3. **Monitor progress** using `GET /{kickoff_id}/status`
|
||||
3. **Monitor progress** using `GET /status/{kickoff_id}`
|
||||
version: 1.0.0
|
||||
contact:
|
||||
name: CrewAI Support
|
||||
@@ -207,7 +207,7 @@ paths:
|
||||
"500":
|
||||
$ref: "#/components/responses/ServerError"
|
||||
|
||||
/{kickoff_id}/status:
|
||||
/status/{kickoff_id}:
|
||||
get:
|
||||
summary: Get Execution Status
|
||||
description: |
|
||||
|
||||
@@ -35,7 +35,7 @@ info:
|
||||
|
||||
1. **Discover inputs** using `GET /inputs`
|
||||
2. **Start execution** using `POST /kickoff`
|
||||
3. **Monitor progress** using `GET /{kickoff_id}/status`
|
||||
3. **Monitor progress** using `GET /status/{kickoff_id}`
|
||||
version: 1.0.0
|
||||
contact:
|
||||
name: CrewAI Support
|
||||
@@ -207,7 +207,7 @@ paths:
|
||||
"500":
|
||||
$ref: "#/components/responses/ServerError"
|
||||
|
||||
/{kickoff_id}/status:
|
||||
/status/{kickoff_id}:
|
||||
get:
|
||||
summary: Get Execution Status
|
||||
description: |
|
||||
|
||||
@@ -84,7 +84,7 @@ paths:
|
||||
'500':
|
||||
$ref: '#/components/responses/ServerError'
|
||||
|
||||
/{kickoff_id}/status:
|
||||
/status/{kickoff_id}:
|
||||
get:
|
||||
summary: 실행 상태 조회
|
||||
description: |
|
||||
|
||||
@@ -35,7 +35,7 @@ info:
|
||||
|
||||
1. **Descubra os inputs** usando `GET /inputs`
|
||||
2. **Inicie a execução** usando `POST /kickoff`
|
||||
3. **Monitore o progresso** usando `GET /{kickoff_id}/status`
|
||||
3. **Monitore o progresso** usando `GET /status/{kickoff_id}`
|
||||
version: 1.0.0
|
||||
contact:
|
||||
name: CrewAI Suporte
|
||||
@@ -120,7 +120,7 @@ paths:
|
||||
"500":
|
||||
$ref: "#/components/responses/ServerError"
|
||||
|
||||
/{kickoff_id}/status:
|
||||
/status/{kickoff_id}:
|
||||
get:
|
||||
summary: Obter Status da Execução
|
||||
description: |
|
||||
|
||||
@@ -26,7 +26,7 @@ CrewAI 엔터프라이즈 API 참고 자료에 오신 것을 환영합니다.
|
||||
</Step>
|
||||
|
||||
<Step title="진행 상황 모니터링">
|
||||
`GET /{kickoff_id}/status`를 사용하여 실행 상태를 확인하고 결과를 조회하세요.
|
||||
`GET /status/{kickoff_id}`를 사용하여 실행 상태를 확인하고 결과를 조회하세요.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
@@ -65,7 +65,7 @@ https://your-crew-name.crewai.com
|
||||
|
||||
1. **탐색**: `GET /inputs`를 호출하여 crew가 필요한 것을 파악합니다.
|
||||
2. **실행**: `POST /kickoff`를 통해 입력값을 제출하여 처리를 시작합니다.
|
||||
3. **모니터링**: 완료될 때까지 `GET /{kickoff_id}/status`를 주기적으로 조회합니다.
|
||||
3. **모니터링**: 완료될 때까지 `GET /status/{kickoff_id}`를 주기적으로 조회합니다.
|
||||
4. **결과**: 완료된 응답에서 최종 출력을 추출합니다.
|
||||
|
||||
## 오류 처리
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
title: "GET /{kickoff_id}/status"
|
||||
title: "GET /status/{kickoff_id}"
|
||||
description: "실행 상태 조회"
|
||||
openapi: "/enterprise-api.ko.yaml GET /{kickoff_id}/status"
|
||||
openapi: "/enterprise-api.ko.yaml GET /status/{kickoff_id}"
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
@@ -4,6 +4,80 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="2026년 5월 13일">
|
||||
## v1.14.5a5
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a5)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 기능
|
||||
- CrewAgentExecutor 사용 중단, 기본 Crew 에이전트를 AgentExecutor로 설정
|
||||
- Daytona 샌드박스 도구 개선
|
||||
|
||||
### 버그 수정
|
||||
- pt-BR 첫 번째 흐름 가이드에서 누락된 코드 블록 수정
|
||||
- HITL 사전 검토 및 증류 실패 로그 기록, learn_strict 추가
|
||||
- 보안 취약점을 위한 urllib3 패치
|
||||
- gitpython 및 langchain-core 패치; 패치되지 않은 paramiko CVE 무시
|
||||
- uv 잠금/동기화 시 모든 게시된 작업공간 패키지 새로 고침
|
||||
|
||||
### 문서
|
||||
- `inputs.id`에서 `restoreFromStateId`로의 마이그레이션 가이드 추가
|
||||
- OSS 업그레이드 및 crew-to-flow 마이그레이션 가이드 추가
|
||||
- v1.14.5a4의 변경 로그 및 버전 업데이트
|
||||
|
||||
## 기여자
|
||||
|
||||
@akaKuruma, @greysonlalonde, @iris-clawd, @lorenzejay, @mislavivanda
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 5월 9일">
|
||||
## v1.14.5a4
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a4)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 기능
|
||||
- LLM 목록 업데이트
|
||||
|
||||
### 버그 수정
|
||||
- `textual`을 `crewai-cli`로 이동하고 `certifi`를 추가하여 의존성 문제 수정
|
||||
|
||||
### 문서
|
||||
- v1.14.5a3의 변경 로그 및 버전 업데이트
|
||||
|
||||
## 기여자
|
||||
|
||||
@cgoeppinger, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 5월 7일">
|
||||
## v1.14.5a3
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a3)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 버그 수정
|
||||
- 상태 엔드포인트 경로를 /{kickoff_id}/status에서 /status/{kickoff_id}로 수정
|
||||
- 보안 준수를 위해 gitpython 의존성을 버전 >=3.1.47로 업데이트
|
||||
|
||||
### 리팩토링
|
||||
- CLI를 독립형 crewai-cli 패키지로 분리
|
||||
|
||||
### 문서
|
||||
- v1.14.5a2에 대한 변경 로그 및 버전 업데이트
|
||||
|
||||
## 기여자
|
||||
|
||||
@greysonlalonde, @iris-clawd
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 5월 4일">
|
||||
## v1.14.5a2
|
||||
|
||||
|
||||
@@ -29,6 +29,7 @@ from crewai.flow.flow import Flow, listen, start
|
||||
from dotenv import load_dotenv
|
||||
from litellm import completion
|
||||
|
||||
load_dotenv()
|
||||
|
||||
class ExampleFlow(Flow):
|
||||
model = "gpt-4o-mini"
|
||||
|
||||
125
docs/ko/guides/flows/inputs-id-deprecation.mdx
Normal file
125
docs/ko/guides/flows/inputs-id-deprecation.mdx
Normal file
@@ -0,0 +1,125 @@
|
||||
---
|
||||
title: "inputs.id에서 restore_from_state_id로 마이그레이션"
|
||||
description: "더 이상 지원되지 않는 inputs.id 하이드레이션에서 지원되는 restore_from_state_id 필드로 @persist 흐름을 이동"
|
||||
icon: "arrow-right-arrow-left"
|
||||
---
|
||||
|
||||
<Warning>
|
||||
`inputs` 내에서 `id`를 전달하여 `@persist` 흐름을 하이드레이트하는 것은 **더 이상 지원되지 않으며**
|
||||
향후 릴리스에서 제거될 예정입니다. 대체품인 `restore_from_state_id`는 CrewAI **v1.14.5 이상**에서 사용할 수 있으며,
|
||||
아래 단계는 업그레이드 후 적용됩니다.
|
||||
</Warning>
|
||||
|
||||
## 개요
|
||||
|
||||
이전 실행에서 `@persist` 흐름을 하이드레이트하는 문서화된 방법은
|
||||
해당 실행의 UUID를 `inputs.id`로 전달하는 것입니다. CrewAI는 이제
|
||||
`inputs` 페이로드를 과부하하지 않고 동일한 하이드레이션을 수행하는 전용 필드인
|
||||
`restore_from_state_id`를 제공합니다 — 그리고 하이드레이션 키를 새로운 실행의
|
||||
정체성과 결합하지 않습니다.
|
||||
|
||||
## 마이그레이션
|
||||
|
||||
현재 `inputs={"id": ...}`로 `@persist` 흐름을 시작하는 경우:
|
||||
|
||||
```python
|
||||
# 더 이상 지원되지 않음
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(inputs={"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv"})
|
||||
```
|
||||
|
||||
`restore_from_state_id`로 전환하십시오:
|
||||
|
||||
```python
|
||||
# 지원됨
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(restore_from_state_id="abcd1234-5678-90ef-ghij-klmnopqrstuv")
|
||||
```
|
||||
|
||||
두 모드는 서로 다른 계보 의미론을 가지고 있습니다:
|
||||
|
||||
- `inputs={"id": <uuid>}` (더 이상 지원되지 않음) — **재개**: 제공된
|
||||
id 아래에 기록이 작성되어 동일한 `flow_uuid` 이력이 확장됩니다.
|
||||
- `restore_from_state_id=<uuid>` — **분기**: 스냅샷에서 상태를 하이드레이트한 후
|
||||
새로운 `state.id` 아래에 기록합니다. 원본 흐름의 이력은 보존됩니다.
|
||||
|
||||
대부분의 프로덕션 시나리오에서는 — 이전 상태에서 시드된 흐름을 다시 실행하는 경우 — 분기가
|
||||
필요합니다. 전체 정신 모델은 [Flow State 마스터링](/ko/guides/flows/mastering-flow-state)을 참조하십시오.
|
||||
|
||||
CrewAI AMP REST API를 통해 흐름을 시작하는 경우, 아래 [AMP](#amp)에서
|
||||
동일한 페이로드 마이그레이션을 참조하십시오.
|
||||
|
||||
## 왜 `@persist`에 대해 `inputs.id`를 더 이상 지원하지 않습니까?
|
||||
|
||||
`inputs.id`는 현재 이전 실행에서 `@persist` 흐름을 재개하는 문서화된 방법입니다. 문제는
|
||||
동일한 UUID가 두 가지 작업을 동시에 수행한다는 것입니다:
|
||||
|
||||
1. **어떤 스냅샷에서 `@persist`가 하이드레이트되는지를 선택합니다** — 해당 UUID 아래에 저장된 상태를 로드합니다.
|
||||
2. **새 실행의 흐름 실행 ID가 됩니다** (`state.id`는 SDK에서; 일부 컨텍스트에서는 `flow_id`로 표시됨) — 이
|
||||
시작에서의 모든 `@persist` 기록도 동일한 UUID 아래에 작성됩니다.
|
||||
|
||||
이 이중 역할이 이 가이드에서 설명하는 문제의 근본 원인입니다. 제공된 UUID가 새 실행의 id이기도 하므로,
|
||||
동일한 `inputs.id`를 전달하는 두 번의 시작은 두 개의 별도 실행이 아닙니다 — 그들은 id를 공유하고,
|
||||
지속성 기록을 공유하며, (AMP에서) 실행 목록에서 행을 공유합니다. "이 스냅샷에서 하이드레이트하지만,
|
||||
이 실행을 별도로 기록하십시오"라고 말할 방법이 없습니다.
|
||||
|
||||
`restore_from_state_id`가 그 분리입니다. 이는 `@persist`에 어떤 스냅샷에서 하이드레이트할지를 알려주며,
|
||||
새 실행이 새로운 `state.id`를 받을 수 있도록 합니다. 하이드레이션 소스와 기록된 실행은 더 이상 동일한 UUID가 아닙니다 — 이는 대부분의 프로덕션 시나리오에서 실제로 원하는 것입니다.
|
||||
|
||||
## 제거 일정
|
||||
|
||||
`@persist` 하이드레이션을 위한 `inputs.id`는 CrewAI의 향후 릴리스에서 제거될 예정입니다. 즉각적인 강제 종료는 없으며 — 기존 흐름은 계속 작동합니다 — 하지만 v1.14.5 이상으로 업그레이드하면,
|
||||
새 코드에서는 `restore_from_state_id`를 사용해야 하며, 기존 흐름은 다음 편리한 기회에 마이그레이션해야 합니다.
|
||||
|
||||
## AMP
|
||||
|
||||
흐름을 CrewAI AMP에 배포하는 경우, 마이그레이션은 배포된 팀에 전송되는 시작 페이로드로 확장되며,
|
||||
`inputs.id`를 재사용하는 가시적인 증상은 배포 대시보드에 나타납니다. 아래 두 개의 하위 섹션이 이를 다룹니다.
|
||||
|
||||
### 시작 페이로드 마이그레이션
|
||||
|
||||
현재 `inputs`에 `id`를 포함하여 배포된 흐름을 시작하는 경우:
|
||||
|
||||
```bash
|
||||
# 더 이상 지원되지 않음
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{"inputs": {"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv", "topic": "AI Agent Frameworks"}}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
UUID를 최상위 `restoreFromStateId` 필드로 이동하십시오:
|
||||
|
||||
```bash
|
||||
# 지원됨
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{
|
||||
"inputs": {"topic": "AI Agent Frameworks"},
|
||||
"restoreFromStateId": "abcd1234-5678-90ef-ghij-klmnopqrstuv"
|
||||
}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
`restoreFromStateId`는 시작 페이로드에서 `inputs` 옆에 위치하며, 내부에 있지 않습니다.
|
||||
`inputs` 객체는 이제 흐름이 실제로 소비하는 값만 포함합니다.
|
||||
|
||||
### `inputs.id`가 재사용될 때 발생하는 일
|
||||
|
||||
AMP가 기존 실행과 `inputs.id`가 일치하는 흐름의 시작을 수신하면,
|
||||
새로운 기록을 생성하는 대신 기존 기록으로 해결됩니다. 배포 대시보드에서 다음을 확인할 수 있습니다:
|
||||
|
||||
- **실행 상태** — 새로운 실행의 상태가 이전 실행의 상태를 덮어씁니다. 완료된 실행은
|
||||
다시 `실행 중`으로 전환되거나, `완료`된 실행은 새로운 시작이 실패할 경우 `오류`로 전환될 수 있습니다 — 어쨌든 대시보드는 더 이상
|
||||
원래 실행을 반영하지 않습니다.
|
||||
- **추적** — OTel 추적이 시작 간에 쌓이기 때문에 동일한 실행 id를 공유합니다; 이전 실행의 추적은
|
||||
새로운 실행의 추적과 교체되거나 혼합됩니다. 단계별 재생은 더 이상 단일 실행에 해당하지 않습니다.
|
||||
- **실행 목록** — 별도의 행으로 나타나야 할 시작이 단일 항목으로 축소되어 이력을 숨깁니다.
|
||||
|
||||
`restoreFromStateId`로 마이그레이션하면 모든 시작이 자체 실행으로 유지됩니다 — 각자의 상태, 추적 및 목록의 행을 가지며 — 여전히 이전 실행에서 상태를 하이드레이트합니다.
|
||||
|
||||
<Card title="도움이 필요하신가요?" icon="headset" href="mailto:support@crewai.com">
|
||||
흐름이 어떤 모드가 필요한지 확실하지 않거나 마이그레이션 중 문제가 발생하면 지원 팀에 문의하십시오.
|
||||
</Card>
|
||||
190
docs/ko/guides/migration/upgrading-crewai.mdx
Normal file
190
docs/ko/guides/migration/upgrading-crewai.mdx
Normal file
@@ -0,0 +1,190 @@
|
||||
---
|
||||
title: "CrewAI 업그레이드"
|
||||
description: "프로젝트에서 CrewAI를 업그레이드하고 버전 간 브레이킹 체인지에 적응하는 방법."
|
||||
icon: "arrow-up-circle"
|
||||
---
|
||||
|
||||
## 개요
|
||||
|
||||
CrewAI 릴리스는 정기적으로 새로운 기능을 제공합니다. 이 가이드는 CLI와 프로젝트의 가상 환경을 모두 최신 상태로 유지하기 위한 실용적인 단계를 안내합니다.
|
||||
|
||||
새로 시작한다면 [설치](/ko/installation)를 참고하세요. 다른 프레임워크에서 옮겨오는 경우라면 [LangGraph에서 마이그레이션](/ko/guides/migration/migrating-from-langgraph)을 참고하세요.
|
||||
|
||||
---
|
||||
|
||||
## 업그레이드할 수 있는 두 가지
|
||||
|
||||
CrewAI는 사용자의 머신에 두 곳에 존재하며, 각각 독립적으로 업그레이드됩니다:
|
||||
|
||||
| 무엇 | 설치 방법 | 업그레이드 방법 |
|
||||
|---|---|---|
|
||||
| **전역 `crewai` CLI** | `uv tool install crewai` | `uv tool install crewai --upgrade` |
|
||||
| **프로젝트 venv** (코드가 실행되는 곳) | `crewai install` / `uv sync` | `uv add "crewai[...]>=X.Y.Z"` 후 `crewai install` |
|
||||
|
||||
이 둘은 — 그리고 자주 — 동기화가 어긋날 수 있습니다. `crewai --version`은 CLI 버전을 알려줍니다. 프로젝트 안에서 `uv pip show crewai`를 실행하면 venv 버전을 알려줍니다. 둘이 다른 것은 정상이며, 실행 중인 코드에 중요한 것은 venv 버전입니다.
|
||||
|
||||
## 왜 `crewai install`만으로는 업그레이드되지 않는가
|
||||
|
||||
`crewai install`은 `uv sync`를 감싼 얇은 래퍼입니다. 현재 `uv.lock` 파일이 지시하는 것 그대로를 설치할 뿐이며 — 어떤 버전 제약도 올리지 **않습니다**.
|
||||
|
||||
`pyproject.toml`이 `crewai>=1.11.1`이라 적혀 있고 lock 파일이 `1.11.1`로 해소되었다면, `crewai install`을 실행해도 `1.14.4`가 사용 가능하더라도 영원히 `1.11.1`에 머무릅니다.
|
||||
|
||||
실제로 업그레이드하려면 다음을 해야 합니다:
|
||||
|
||||
1. `pyproject.toml`의 버전 제약 업데이트
|
||||
2. lock 파일 재해소
|
||||
3. venv 동기화
|
||||
|
||||
`uv add`는 이 세 가지를 한 번에 처리합니다.
|
||||
|
||||
## 프로젝트 업그레이드 방법
|
||||
|
||||
```bash
|
||||
# 제약을 올리고 lock을 다시 만드는 한 번의 명령
|
||||
uv add "crewai[tools]>=1.14.4"
|
||||
|
||||
# venv 동기화 (crewai install은 내부적으로 uv sync를 호출)
|
||||
crewai install
|
||||
|
||||
# 확인
|
||||
uv pip show crewai
|
||||
# → Version: 1.14.4
|
||||
```
|
||||
|
||||
`[tools]`를 프로젝트에서 사용하는 extras로 바꾸세요 (예: `[tools,anthropic]`). 잘 모르겠다면 `pyproject.toml`의 `dependencies` 목록을 확인하세요.
|
||||
|
||||
<Note>
|
||||
`uv add`는 `pyproject.toml`과 `uv.lock`을 **둘 다** 원자적으로 업데이트합니다. `pyproject.toml`을 수동으로 편집하는 경우, `crewai install`이 새 버전을 가져가도록 하기 전에 `uv lock --upgrade-package crewai`를 실행해 lock 파일을 다시 해소해야 합니다.
|
||||
</Note>
|
||||
|
||||
## 전역 CLI 업그레이드
|
||||
|
||||
전역 CLI는 프로젝트와 분리되어 있습니다. 다음 명령으로 업그레이드하세요:
|
||||
|
||||
```bash
|
||||
uv tool install crewai --upgrade
|
||||
```
|
||||
|
||||
업그레이드 후 셸이 `PATH`에 대해 경고하면 새로고침하세요:
|
||||
|
||||
```bash
|
||||
uv tool update-shell
|
||||
```
|
||||
|
||||
이 명령은 프로젝트의 venv를 **건드리지 않습니다** — 프로젝트 내부에서는 여전히 `uv add` + `crewai install`이 필요합니다.
|
||||
|
||||
## 둘이 동기화되었는지 확인
|
||||
|
||||
```bash
|
||||
# 전역 CLI 버전
|
||||
crewai --version
|
||||
|
||||
# 프로젝트 venv 버전
|
||||
uv pip show crewai | grep Version
|
||||
```
|
||||
|
||||
둘이 일치할 필요는 없지만 — 런타임 동작에 중요한 것은 프로젝트 venv 버전입니다.
|
||||
|
||||
<Note>
|
||||
CrewAI는 `Python >=3.10, <3.14`를 요구합니다. `uv`가 더 오래된 인터프리터로 설치되어 있다면, `crewai install`을 실행하기 전에 지원되는 Python으로 프로젝트 venv를 다시 만드세요.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## 브레이킹 체인지 및 마이그레이션 노트
|
||||
|
||||
대부분의 업그레이드는 작은 조정만 필요합니다. 아래 항목들은 조용히 깨지거나 헷갈리는 트레이스백을 내는 영역들입니다.
|
||||
|
||||
### Import 경로: tools와 `BaseTool`
|
||||
|
||||
tools의 정식 import 위치는 `crewai.tools`입니다. 옛 경로들이 아직 튜토리얼에 등장하지만 업데이트해야 합니다.
|
||||
|
||||
```python
|
||||
# 이전
|
||||
from crewai_tools import BaseTool
|
||||
from crewai.agents.tools import tool
|
||||
|
||||
# 이후
|
||||
from crewai.tools import BaseTool, tool
|
||||
```
|
||||
|
||||
`@tool` 데코레이터와 `BaseTool` 서브클래스는 모두 `crewai.tools`에 있습니다. `AgentFinish` 등 내부 에이전트 심볼들은 더 이상 공개 표면이 아닙니다 — import 중이었다면 event listener나 `Task` 콜백으로 전환하세요.
|
||||
|
||||
### `Agent` 파라미터 변경
|
||||
|
||||
```python
|
||||
from crewai import Agent
|
||||
|
||||
agent = Agent(
|
||||
role="Researcher",
|
||||
goal="Find authoritative sources on {topic}",
|
||||
backstory="You are a careful, source-driven researcher.",
|
||||
llm="gpt-4o-mini", # 모델명 문자열 또는 LLM 객체
|
||||
verbose=True, # 정수 레벨이 아닌 bool
|
||||
max_iter=15, # 버전마다 기본값이 바뀌었음 — 명시적으로 지정
|
||||
allow_delegation=False,
|
||||
)
|
||||
```
|
||||
|
||||
- `llm`은 문자열 모델명(설정된 provider를 통해 해소)이나 세밀한 제어를 위한 `LLM` 객체를 받습니다.
|
||||
- `verbose`는 일반 `bool`입니다. 정수를 전달해도 더 이상 로그 레벨을 토글하지 않습니다.
|
||||
- `max_iter`의 기본값은 릴리스 사이에 변경되었습니다. 첫 tool 호출 후 에이전트가 조용히 반복을 멈춘다면 `max_iter`를 명시적으로 지정하세요.
|
||||
|
||||
### `Crew` 파라미터
|
||||
|
||||
```python
|
||||
from crewai import Crew, Process
|
||||
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
process=Process.sequential, # 또는 Process.hierarchical
|
||||
memory=True,
|
||||
cache=True,
|
||||
embedder={"provider": "openai", "config": {"model": "text-embedding-3-small"}},
|
||||
)
|
||||
```
|
||||
|
||||
- `process=Process.hierarchical`은 `manager_llm=` 또는 `manager_agent=` 중 하나가 필요합니다. 둘 다 없으면 kickoff 시 검증 단계에서 오류가 발생합니다.
|
||||
- 기본이 아닌 임베딩 provider와 함께 `memory=True`를 쓰려면 `embedder` dict가 필요합니다 — 아래의 [메모리와 embedder 설정](#memory-embedder-config)을 참고하세요.
|
||||
|
||||
### `Task` 구조화된 출력
|
||||
|
||||
`output_pydantic`, `output_json`, 또는 `output_file`을 사용해 task 결과를 타입이 지정된 형태로 강제할 수 있습니다:
|
||||
|
||||
```python
|
||||
from pydantic import BaseModel
|
||||
from crewai import Task
|
||||
|
||||
class Article(BaseModel):
|
||||
title: str
|
||||
body: str
|
||||
|
||||
write = Task(
|
||||
description="Write an article about {topic}",
|
||||
expected_output="A short article with a title and body",
|
||||
agent=writer,
|
||||
output_pydantic=Article, # 인스턴스가 아닌 클래스
|
||||
output_file="output/article.md",
|
||||
)
|
||||
```
|
||||
|
||||
`output_pydantic`은 **클래스** 자체를 받습니다. `Article(title="", body="")`을 전달하는 것은 흔한 실수이며 헷갈리는 검증 오류로 실패합니다.
|
||||
|
||||
### 메모리와 embedder 설정 {#memory-embedder-config}
|
||||
|
||||
`memory=True`이고 OpenAI의 기본 임베딩을 사용하지 않는다면, `embedder`를 반드시 전달해야 합니다:
|
||||
|
||||
```python
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
memory=True,
|
||||
embedder={
|
||||
"provider": "ollama",
|
||||
"config": {"model": "nomic-embed-text"},
|
||||
},
|
||||
)
|
||||
```
|
||||
|
||||
해당 provider의 자격 증명(`OPENAI_API_KEY`, `OLLAMA_HOST` 등)을 `.env` 파일에 설정하세요. 메모리 저장 경로는 기본적으로 프로젝트-로컬입니다 — embedder를 바꾸면 차원이 호환되지 않으므로 프로젝트의 메모리 디렉터리를 삭제하세요.
|
||||
@@ -13,7 +13,7 @@ The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compu
|
||||
|
||||
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
|
||||
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox; also supports `move`, `find` (content grep), `search` (filename glob), `chmod` (permissions), `replace` (bulk find-and-replace), and `exists`.
|
||||
|
||||
All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
|
||||
|
||||
@@ -55,7 +55,7 @@ from crewai_tools import DaytonaPythonTool
|
||||
tool = DaytonaPythonTool()
|
||||
result = tool.run(code="print(sum(range(10)))")
|
||||
print(result)
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": None}
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": ExecutionArtifacts(stdout="45\n", charts=[])}
|
||||
```
|
||||
|
||||
### Multi-step shell session (persistent)
|
||||
@@ -63,17 +63,22 @@ print(result)
|
||||
```python Code
|
||||
from crewai_tools import DaytonaExecTool, DaytonaFileTool
|
||||
|
||||
# Create the persistent sandbox via the first tool, then attach the second
|
||||
# tool to it so both share state (installed packages, files, env vars).
|
||||
exec_tool = DaytonaExecTool(persistent=True)
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Install a package, then write and run a script — all in the same sandbox
|
||||
exec_tool.run(command="pip install httpx -q")
|
||||
file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
|
||||
exec_tool.run(command="python /workspace/fetch.py")
|
||||
file_tool = DaytonaFileTool(sandbox_id=exec_tool.active_sandbox_id)
|
||||
|
||||
file_tool.run(
|
||||
action="write",
|
||||
path="workspace/script.py",
|
||||
content="import httpx; print(f'httpx loaded, version {httpx.__version__}')",
|
||||
)
|
||||
exec_tool.run(command="python workspace/script.py")
|
||||
```
|
||||
|
||||
<Note>
|
||||
Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
|
||||
By default, each tool with `persistent=True` lazily creates its **own** sandbox on first use. The pattern above shares a single sandbox across multiple tools by reading the first tool's `active_sandbox_id` after a `.run()` call and passing it to the others via `sandbox_id=...`. With `persistent=False` (the default), every `.run()` call gets a fresh sandbox that's deleted at the end of that call.
|
||||
</Note>
|
||||
|
||||
### Attach to an existing sandbox
|
||||
@@ -82,7 +87,7 @@ Each tool instance maintains its own persistent sandbox. To share **one** sandbo
|
||||
from crewai_tools import DaytonaExecTool
|
||||
|
||||
tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
|
||||
result = tool.run(command="ls /workspace")
|
||||
result = tool.run(command="ls workspace")
|
||||
```
|
||||
|
||||
### Custom sandbox parameters
|
||||
@@ -102,6 +107,41 @@ tool = DaytonaExecTool(
|
||||
)
|
||||
```
|
||||
|
||||
### Searching, moving, and modifying files
|
||||
|
||||
```python Code
|
||||
from crewai_tools import DaytonaFileTool
|
||||
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Find every TODO in the source tree (grep file contents recursively)
|
||||
file_tool.run(action="find", path="workspace/src", pattern="TODO:")
|
||||
|
||||
# Find all Python files (glob match on filenames)
|
||||
file_tool.run(action="search", path="workspace", pattern="*.py")
|
||||
|
||||
# Make a script executable
|
||||
file_tool.run(action="chmod", path="workspace/run.sh", mode="755")
|
||||
|
||||
# Rename or move a file
|
||||
file_tool.run(
|
||||
action="move",
|
||||
path="workspace/draft.md",
|
||||
destination="workspace/final.md",
|
||||
)
|
||||
|
||||
# Bulk find-and-replace across multiple files
|
||||
file_tool.run(
|
||||
action="replace",
|
||||
paths=["workspace/src/a.py", "workspace/src/b.py"],
|
||||
pattern="old_function",
|
||||
replacement="new_function",
|
||||
)
|
||||
|
||||
# Quick existence check before a destructive op
|
||||
file_tool.run(action="exists", path="workspace/cache.db")
|
||||
```
|
||||
|
||||
### Agent integration
|
||||
|
||||
```python Code
|
||||
@@ -121,7 +161,7 @@ coder = Agent(
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to workspace/fib.py, and run it.",
|
||||
expected_output="The first 10 Fibonacci numbers printed to stdout.",
|
||||
agent=coder,
|
||||
)
|
||||
@@ -168,12 +208,22 @@ All three tools accept these parameters at initialization:
|
||||
|
||||
| Parameter | Type | Required | Description |
|
||||
|-----------|------|----------|-------------|
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
|
||||
| `path` | `str` | ✓ | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | | Content to write or append. Required for `append`. |
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`, `exists`, `move`, `find`, `search`, `chmod`, `replace`. |
|
||||
| `path` | `str \| None` | ✓ for all actions except `replace` | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | ✓ for `append` | Content to write or append. |
|
||||
| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
|
||||
| `recursive` | `bool` | | For `delete`: remove directories recursively. |
|
||||
| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
|
||||
| `mode` | `str \| None` | | For `mkdir`: octal permissions for the new directory (defaults to `"0755"`). For `chmod`: octal permissions to apply to the target. |
|
||||
| `destination` | `str \| None` | ✓ for `move` | Destination path for `move`. |
|
||||
| `pattern` | `str \| None` | ✓ for `find`, `search`, `replace` | For `find`: substring matched against file CONTENTS. For `search`: glob matched against file NAMES (e.g. `*.py`). For `replace`: text to replace inside files. |
|
||||
| `replacement` | `str \| None` | ✓ for `replace` | Replacement text for `pattern`. |
|
||||
| `paths` | `list[str] \| None` | ✓ for `replace` | List of file paths in which to replace text. |
|
||||
| `owner` | `str \| None` | | For `chmod`: new file owner. |
|
||||
| `group` | `str \| None` | | For `chmod`: new file group. |
|
||||
|
||||
<Note>
|
||||
For `chmod`, pass at least one of `mode`, `owner`, or `group` — any field left as `None` is left unchanged on the target.
|
||||
</Note>
|
||||
|
||||
<Tip>
|
||||
For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
|
||||
|
||||
@@ -26,7 +26,7 @@ Bem-vindo à referência da API do CrewAI AMP. Esta API permite que você intera
|
||||
</Step>
|
||||
|
||||
<Step title="Monitore o Progresso">
|
||||
Use `GET /{kickoff_id}/status` para checar o status da execução e recuperar os resultados.
|
||||
Use `GET /status/{kickoff_id}` para checar o status da execução e recuperar os resultados.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
@@ -65,7 +65,7 @@ Substitua `your-crew-name` pela URL real do seu crew no painel.
|
||||
|
||||
1. **Descoberta**: Chame `GET /inputs` para entender o que seu crew precisa
|
||||
2. **Execução**: Envie os inputs via `POST /kickoff` para iniciar o processamento
|
||||
3. **Monitoramento**: Faça polling em `GET /{kickoff_id}/status` até a conclusão
|
||||
3. **Monitoramento**: Faça polling em `GET /status/{kickoff_id}` até a conclusão
|
||||
4. **Resultados**: Extraia o output final da resposta concluída
|
||||
|
||||
## Tratamento de Erros
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
---
|
||||
title: "GET /{kickoff_id}/status"
|
||||
title: "GET /status/{kickoff_id}"
|
||||
description: "Obter o status da execução"
|
||||
openapi: "/enterprise-api.pt-BR.yaml GET /{kickoff_id}/status"
|
||||
openapi: "/enterprise-api.pt-BR.yaml GET /status/{kickoff_id}"
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
@@ -4,6 +4,80 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="13 mai 2026">
|
||||
## v1.14.5a5
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a5)
|
||||
|
||||
## O Que Mudou
|
||||
|
||||
### Recursos
|
||||
- Deprecar CrewAgentExecutor, definir agentes Crew como AgentExecutor
|
||||
- Melhorar ferramentas de sandbox Daytona
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir bloco de código ausente no guia de primeiro fluxo em pt-BR
|
||||
- Registrar falhas de pré-revisão e destilação HITL, adicionar learn_strict
|
||||
- Corrigir urllib3 para vulnerabilidades de segurança
|
||||
- Corrigir gitpython e langchain-core; ignorar CVE paramiko não corrigido
|
||||
- Atualizar todos os pacotes de workspace publicados no bloqueio/sincronização uv
|
||||
|
||||
### Documentação
|
||||
- Adicionar guia de migração de `inputs.id` para `restoreFromStateId`
|
||||
- Adicionar guia de atualização OSS e migração de crew para flow
|
||||
- Atualizar changelog e versão para v1.14.5a4
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@akaKuruma, @greysonlalonde, @iris-clawd, @lorenzejay, @mislavivanda
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="09 mai 2026">
|
||||
## v1.14.5a4
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a4)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Funcionalidades
|
||||
- Atualizar listagens de LLM
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir problema de dependência movendo `textual` para `crewai-cli` e adicionando `certifi`
|
||||
|
||||
### Documentação
|
||||
- Atualizar changelog e versão para v1.14.5a3
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@cgoeppinger, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="07 mai 2026">
|
||||
## v1.14.5a3
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a3)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir o caminho do endpoint de status de /{kickoff_id}/status para /status/{kickoff_id}
|
||||
- Atualizar a dependência gitpython para a versão >=3.1.47 para conformidade de segurança
|
||||
|
||||
### Refatoração
|
||||
- Extrair CLI para o pacote independente crewai-cli
|
||||
|
||||
### Documentação
|
||||
- Atualizar o changelog e a versão para v1.14.5a2
|
||||
|
||||
## Contributors
|
||||
|
||||
@greysonlalonde, @iris-clawd
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="04 mai 2026">
|
||||
## v1.14.5a2
|
||||
|
||||
|
||||
@@ -24,7 +24,63 @@ Os flows permitem que você crie fluxos de trabalho estruturados e orientados po
|
||||
Vamos criar um Flow simples no qual você usará a OpenAI para gerar uma cidade aleatória em uma tarefa e, em seguida, usará essa cidade para gerar uma curiosidade em outra tarefa.
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from dotenv import load_dotenv
|
||||
from litellm import completion
|
||||
|
||||
load_dotenv()
|
||||
|
||||
class ExampleFlow(Flow):
|
||||
model = "gpt-4o-mini"
|
||||
|
||||
@start()
|
||||
def generate_city(self):
|
||||
print("Starting flow")
|
||||
# Cada estado do flow recebe automaticamente um ID único
|
||||
print(f"Flow State ID: {self.state['id']}")
|
||||
|
||||
response = completion(
|
||||
model=self.model,
|
||||
messages=[
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Return the name of a random city in the world.",
|
||||
},
|
||||
],
|
||||
)
|
||||
|
||||
random_city = response["choices"][0]["message"]["content"]
|
||||
# Armazena a cidade no nosso estado
|
||||
self.state["city"] = random_city
|
||||
print(f"Random City: {random_city}")
|
||||
|
||||
return random_city
|
||||
|
||||
@listen(generate_city)
|
||||
def generate_fun_fact(self, random_city):
|
||||
response = completion(
|
||||
model=self.model,
|
||||
messages=[
|
||||
{
|
||||
"role": "user",
|
||||
"content": f"Tell me a fun fact about {random_city}",
|
||||
},
|
||||
],
|
||||
)
|
||||
|
||||
fun_fact = response["choices"][0]["message"]["content"]
|
||||
# Armazena a curiosidade no nosso estado
|
||||
self.state["fun_fact"] = fun_fact
|
||||
return fun_fact
|
||||
|
||||
|
||||
|
||||
flow = ExampleFlow()
|
||||
flow.plot()
|
||||
result = flow.kickoff()
|
||||
|
||||
print(f"Generated fun fact: {result}")
|
||||
```
|
||||
|
||||
Na ilustração acima, criamos um Flow simples que gera uma cidade aleatória usando a OpenAI e depois cria uma curiosidade sobre essa cidade. O Flow consiste em duas tarefas: `generate_city` e `generate_fun_fact`. A tarefa `generate_city` é o ponto de início do Flow, enquanto a tarefa `generate_fun_fact` fica escutando o resultado da tarefa `generate_city`.
|
||||
@@ -56,12 +112,16 @@ O decorador `@listen()` pode ser usado de várias formas:
|
||||
1. **Escutando um Método pelo Nome**: Você pode passar o nome do método ao qual deseja escutar como string. Quando esse método concluir, o método ouvinte será chamado.
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
@listen("generate_city")
|
||||
def generate_fun_fact(self, random_city):
|
||||
# Implementação
|
||||
```
|
||||
|
||||
2. **Escutando um Método Diretamente**: Você pode passar o próprio método. Quando esse método concluir, o método ouvinte será chamado.
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
@listen(generate_city)
|
||||
def generate_fun_fact(self, random_city):
|
||||
# Implementação
|
||||
```
|
||||
|
||||
### Saída de um Flow
|
||||
@@ -76,7 +136,24 @@ Veja como acessar a saída final:
|
||||
|
||||
<CodeGroup>
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
|
||||
class OutputExampleFlow(Flow):
|
||||
@start()
|
||||
def first_method(self):
|
||||
return "Output from first_method"
|
||||
|
||||
@listen(first_method)
|
||||
def second_method(self, first_output):
|
||||
return f"Second method received: {first_output}"
|
||||
|
||||
|
||||
flow = OutputExampleFlow()
|
||||
flow.plot("my_flow_plot")
|
||||
final_output = flow.kickoff()
|
||||
|
||||
print("---- Final Output ----")
|
||||
print(final_output)
|
||||
```
|
||||
|
||||
```text Output
|
||||
@@ -97,8 +174,34 @@ Além de recuperar a saída final, você pode acessar e atualizar o estado dentr
|
||||
Veja um exemplo de como atualizar e acessar o estado:
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from pydantic import BaseModel
|
||||
|
||||
class ExampleState(BaseModel):
|
||||
counter: int = 0
|
||||
message: str = ""
|
||||
|
||||
class StateExampleFlow(Flow[ExampleState]):
|
||||
|
||||
@start()
|
||||
def first_method(self):
|
||||
self.state.message = "Hello from first_method"
|
||||
self.state.counter += 1
|
||||
|
||||
@listen(first_method)
|
||||
def second_method(self):
|
||||
self.state.message += " - updated by second_method"
|
||||
self.state.counter += 1
|
||||
return self.state.message
|
||||
|
||||
flow = StateExampleFlow()
|
||||
flow.plot("my_flow_plot")
|
||||
final_output = flow.kickoff()
|
||||
print(f"Final Output: {final_output}")
|
||||
print("Final State:")
|
||||
print(flow.state)
|
||||
```
|
||||
|
||||
```text Output
|
||||
@@ -128,7 +231,33 @@ Essa abordagem oferece flexibilidade, permitindo que o desenvolvedor adicione ou
|
||||
Mesmo com estados não estruturados, os flows do CrewAI geram e mantêm automaticamente um identificador único (UUID) para cada instância de estado.
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
|
||||
class UnstructuredExampleFlow(Flow):
|
||||
|
||||
@start()
|
||||
def first_method(self):
|
||||
# O estado inclui automaticamente um campo 'id'
|
||||
print(f"State ID: {self.state['id']}")
|
||||
self.state['counter'] = 0
|
||||
self.state['message'] = "Hello from structured flow"
|
||||
|
||||
@listen(first_method)
|
||||
def second_method(self):
|
||||
self.state['counter'] += 1
|
||||
self.state['message'] += " - updated"
|
||||
|
||||
@listen(second_method)
|
||||
def third_method(self):
|
||||
self.state['counter'] += 1
|
||||
self.state['message'] += " - updated again"
|
||||
|
||||
print(f"State after third_method: {self.state}")
|
||||
|
||||
|
||||
flow = UnstructuredExampleFlow()
|
||||
flow.plot("my_flow_plot")
|
||||
flow.kickoff()
|
||||
```
|
||||
|
||||
|
||||
@@ -148,7 +277,39 @@ Ao usar modelos como o `BaseModel` da Pydantic, os desenvolvedores podem definir
|
||||
Cada estado nos flows do CrewAI recebe automaticamente um identificador único (UUID) para ajudar no rastreamento e gerenciamento. Esse ID é gerado e mantido automaticamente pelo sistema de flows.
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from pydantic import BaseModel
|
||||
|
||||
|
||||
class ExampleState(BaseModel):
|
||||
# Nota: o campo 'id' é adicionado automaticamente a todos os estados
|
||||
counter: int = 0
|
||||
message: str = ""
|
||||
|
||||
|
||||
class StructuredExampleFlow(Flow[ExampleState]):
|
||||
|
||||
@start()
|
||||
def first_method(self):
|
||||
# Acesse o ID gerado automaticamente, se necessário
|
||||
print(f"State ID: {self.state.id}")
|
||||
self.state.message = "Hello from structured flow"
|
||||
|
||||
@listen(first_method)
|
||||
def second_method(self):
|
||||
self.state.counter += 1
|
||||
self.state.message += " - updated"
|
||||
|
||||
@listen(second_method)
|
||||
def third_method(self):
|
||||
self.state.counter += 1
|
||||
self.state.message += " - updated again"
|
||||
|
||||
print(f"State after third_method: {self.state}")
|
||||
|
||||
|
||||
flow = StructuredExampleFlow()
|
||||
flow.kickoff()
|
||||
```
|
||||
|
||||
|
||||
@@ -182,7 +343,19 @@ O decorador @persist permite a persistência automática do estado nos flows do
|
||||
Quando aplicado no nível da classe, o decorador @persist garante a persistência automática de todos os estados dos métodos do flow:
|
||||
|
||||
```python
|
||||
# (O código não é traduzido)
|
||||
@persist # Usa SQLiteFlowPersistence por padrão
|
||||
class MyFlow(Flow[MyState]):
|
||||
@start()
|
||||
def initialize_flow(self):
|
||||
# Este método terá seu estado persistido automaticamente
|
||||
self.state.counter = 1
|
||||
print("Initialized flow. State ID:", self.state.id)
|
||||
|
||||
@listen(initialize_flow)
|
||||
def next_step(self):
|
||||
# O estado (incluindo self.state.id) é recarregado automaticamente
|
||||
self.state.counter += 1
|
||||
print("Flow state is persisted. Counter:", self.state.counter)
|
||||
```
|
||||
|
||||
### Persistência no Nível de Método
|
||||
@@ -190,7 +363,14 @@ Quando aplicado no nível da classe, o decorador @persist garante a persistênci
|
||||
Para um controle mais granular, você pode aplicar @persist em métodos específicos:
|
||||
|
||||
```python
|
||||
# (O código não é traduzido)
|
||||
class AnotherFlow(Flow[dict]):
|
||||
@persist # Persiste apenas o estado deste método
|
||||
@start()
|
||||
def begin(self):
|
||||
if "runs" not in self.state:
|
||||
self.state["runs"] = 0
|
||||
self.state["runs"] += 1
|
||||
print("Method-level persisted runs:", self.state["runs"])
|
||||
```
|
||||
|
||||
### Forking de Estado Persistido
|
||||
@@ -282,8 +462,29 @@ A arquitetura de persistência enfatiza precisão técnica e opções de persona
|
||||
A função `or_` nos flows permite escutar múltiplos métodos e acionar o método ouvinte quando qualquer um dos métodos especificados gerar uma saída.
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
from crewai.flow.flow import Flow, listen, or_, start
|
||||
|
||||
class OrExampleFlow(Flow):
|
||||
|
||||
@start()
|
||||
def start_method(self):
|
||||
return "Hello from the start method"
|
||||
|
||||
@listen(start_method)
|
||||
def second_method(self):
|
||||
return "Hello from the second method"
|
||||
|
||||
@listen(or_(start_method, second_method))
|
||||
def logger(self, result):
|
||||
print(f"Logger: {result}")
|
||||
|
||||
|
||||
|
||||
flow = OrExampleFlow()
|
||||
flow.plot("my_flow_plot")
|
||||
flow.kickoff()
|
||||
```
|
||||
|
||||
```text Output
|
||||
@@ -302,8 +503,28 @@ A função `or_` serve para escutar vários métodos e disparar o método ouvint
|
||||
A função `and_` nos flows permite escutar múltiplos métodos e acionar o método ouvinte apenas quando todos os métodos especificados emitirem uma saída.
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
from crewai.flow.flow import Flow, and_, listen, start
|
||||
|
||||
class AndExampleFlow(Flow):
|
||||
|
||||
@start()
|
||||
def start_method(self):
|
||||
self.state["greeting"] = "Hello from the start method"
|
||||
|
||||
@listen(start_method)
|
||||
def second_method(self):
|
||||
self.state["joke"] = "What do computers eat? Microchips."
|
||||
|
||||
@listen(and_(start_method, second_method))
|
||||
def logger(self):
|
||||
print("---- Logger ----")
|
||||
print(self.state)
|
||||
|
||||
flow = AndExampleFlow()
|
||||
flow.plot()
|
||||
flow.kickoff()
|
||||
```
|
||||
|
||||
```text Output
|
||||
@@ -323,8 +544,42 @@ O decorador `@router()` nos flows permite definir lógica de roteamento condicio
|
||||
Você pode especificar diferentes rotas conforme a saída do método, permitindo controlar o fluxo de execução de forma dinâmica.
|
||||
|
||||
<CodeGroup>
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
import random
|
||||
from crewai.flow.flow import Flow, listen, router, start
|
||||
from pydantic import BaseModel
|
||||
|
||||
class ExampleState(BaseModel):
|
||||
success_flag: bool = False
|
||||
|
||||
class RouterFlow(Flow[ExampleState]):
|
||||
|
||||
@start()
|
||||
def start_method(self):
|
||||
print("Starting the structured flow")
|
||||
random_boolean = random.choice([True, False])
|
||||
self.state.success_flag = random_boolean
|
||||
|
||||
@router(start_method)
|
||||
def second_method(self):
|
||||
if self.state.success_flag:
|
||||
return "success"
|
||||
else:
|
||||
return "failed"
|
||||
|
||||
@listen("success")
|
||||
def third_method(self):
|
||||
print("Third method running")
|
||||
|
||||
@listen("failed")
|
||||
def fourth_method(self):
|
||||
print("Fourth method running")
|
||||
|
||||
|
||||
flow = RouterFlow()
|
||||
flow.plot("my_flow_plot")
|
||||
flow.kickoff()
|
||||
```
|
||||
|
||||
```text Output
|
||||
@@ -401,7 +656,105 @@ Para um guia completo sobre feedback humano em flows, incluindo feedback assínc
|
||||
Os agentes podem ser integrados facilmente aos seus flows, oferecendo uma alternativa leve às crews completas quando você precisar executar tarefas simples e focadas. Veja um exemplo de como utilizar um agente em um flow para realizar uma pesquisa de mercado:
|
||||
|
||||
```python
|
||||
# (O código não é traduzido)
|
||||
import asyncio
|
||||
from typing import Any, Dict, List
|
||||
|
||||
from crewai_tools import SerperDevTool
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from crewai.agent import Agent
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
|
||||
|
||||
# Define um formato de saída estruturado
|
||||
class MarketAnalysis(BaseModel):
|
||||
key_trends: List[str] = Field(description="List of identified market trends")
|
||||
market_size: str = Field(description="Estimated market size")
|
||||
competitors: List[str] = Field(description="Major competitors in the space")
|
||||
|
||||
|
||||
# Define o estado do flow
|
||||
class MarketResearchState(BaseModel):
|
||||
product: str = ""
|
||||
analysis: MarketAnalysis | None = None
|
||||
|
||||
|
||||
# Cria uma classe de flow
|
||||
class MarketResearchFlow(Flow[MarketResearchState]):
|
||||
@start()
|
||||
def initialize_research(self) -> Dict[str, Any]:
|
||||
print(f"Starting market research for {self.state.product}")
|
||||
return {"product": self.state.product}
|
||||
|
||||
@listen(initialize_research)
|
||||
async def analyze_market(self) -> Dict[str, Any]:
|
||||
# Cria um agente para pesquisa de mercado
|
||||
analyst = Agent(
|
||||
role="Market Research Analyst",
|
||||
goal=f"Analyze the market for {self.state.product}",
|
||||
backstory="You are an experienced market analyst with expertise in "
|
||||
"identifying market trends and opportunities.",
|
||||
tools=[SerperDevTool()],
|
||||
verbose=True,
|
||||
)
|
||||
|
||||
# Define a consulta de pesquisa
|
||||
query = f"""
|
||||
Research the market for {self.state.product}. Include:
|
||||
1. Key market trends
|
||||
2. Market size
|
||||
3. Major competitors
|
||||
|
||||
Format your response according to the specified structure.
|
||||
"""
|
||||
|
||||
# Executa a análise com formato de saída estruturado
|
||||
result = await analyst.kickoff_async(query, response_format=MarketAnalysis)
|
||||
if result.pydantic:
|
||||
print("result", result.pydantic)
|
||||
else:
|
||||
print("result", result)
|
||||
|
||||
# Retorna a análise para atualizar o estado
|
||||
return {"analysis": result.pydantic}
|
||||
|
||||
@listen(analyze_market)
|
||||
def present_results(self, analysis) -> None:
|
||||
print("\nMarket Analysis Results")
|
||||
print("=====================")
|
||||
|
||||
if isinstance(analysis, dict):
|
||||
# Se recebemos um dict com a chave 'analysis', extrai o objeto de análise real
|
||||
market_analysis = analysis.get("analysis")
|
||||
else:
|
||||
market_analysis = analysis
|
||||
|
||||
if market_analysis and isinstance(market_analysis, MarketAnalysis):
|
||||
print("\nKey Market Trends:")
|
||||
for trend in market_analysis.key_trends:
|
||||
print(f"- {trend}")
|
||||
|
||||
print(f"\nMarket Size: {market_analysis.market_size}")
|
||||
|
||||
print("\nMajor Competitors:")
|
||||
for competitor in market_analysis.competitors:
|
||||
print(f"- {competitor}")
|
||||
else:
|
||||
print("No structured analysis data available.")
|
||||
print("Raw analysis:", analysis)
|
||||
|
||||
|
||||
# Exemplo de uso
|
||||
async def run_flow():
|
||||
flow = MarketResearchFlow()
|
||||
flow.plot("MarketResearchFlowPlot")
|
||||
result = await flow.kickoff_async(inputs={"product": "AI-powered chatbots"})
|
||||
return result
|
||||
|
||||
|
||||
# Executa o flow
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(run_flow())
|
||||
```
|
||||
|
||||
|
||||
@@ -463,7 +816,50 @@ No arquivo `main.py`, você cria seu flow e conecta as crews. É possível defin
|
||||
Veja um exemplo de como conectar a `poem_crew` no arquivo `main.py`:
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
#!/usr/bin/env python
|
||||
from random import randint
|
||||
|
||||
from pydantic import BaseModel
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from .crews.poem_crew.poem_crew import PoemCrew
|
||||
|
||||
class PoemState(BaseModel):
|
||||
sentence_count: int = 1
|
||||
poem: str = ""
|
||||
|
||||
class PoemFlow(Flow[PoemState]):
|
||||
|
||||
@start()
|
||||
def generate_sentence_count(self):
|
||||
print("Generating sentence count")
|
||||
self.state.sentence_count = randint(1, 5)
|
||||
|
||||
@listen(generate_sentence_count)
|
||||
def generate_poem(self):
|
||||
print("Generating poem")
|
||||
result = PoemCrew().crew().kickoff(inputs={"sentence_count": self.state.sentence_count})
|
||||
|
||||
print("Poem generated", result.raw)
|
||||
self.state.poem = result.raw
|
||||
|
||||
@listen(generate_poem)
|
||||
def save_poem(self):
|
||||
print("Saving poem")
|
||||
with open("poem.txt", "w") as f:
|
||||
f.write(self.state.poem)
|
||||
|
||||
def kickoff():
|
||||
poem_flow = PoemFlow()
|
||||
poem_flow.kickoff()
|
||||
|
||||
|
||||
def plot():
|
||||
poem_flow = PoemFlow()
|
||||
poem_flow.plot("PoemFlowPlot")
|
||||
|
||||
if __name__ == "__main__":
|
||||
kickoff()
|
||||
plot()
|
||||
```
|
||||
|
||||
Neste exemplo, a classe `PoemFlow` define um fluxo que gera a quantidade de frases, usa a `PoemCrew` para gerar um poema e, depois, salva o poema em um arquivo. O flow inicia com o método `kickoff()`, e o gráfico é gerado pelo método `plot()`.
|
||||
@@ -515,7 +911,8 @@ O CrewAI oferece duas formas práticas de gerar plots dos seus flows:
|
||||
Se estiver trabalhando diretamente com uma instância do flow, basta chamar o método `plot()` do objeto. Isso criará um arquivo HTML com o plot interativo do seu flow.
|
||||
|
||||
```python Code
|
||||
# (O código não é traduzido)
|
||||
# Considerando que você já tem uma instância do flow
|
||||
flow.plot("my_flow_plot")
|
||||
```
|
||||
|
||||
Esse comando gera um arquivo chamado `my_flow_plot.html` no diretório atual. Abra esse arquivo em um navegador para visualizar o plot interativo.
|
||||
|
||||
@@ -266,7 +266,165 @@ Nosso flow irá:
|
||||
Vamos criar nosso flow no arquivo `main.py`:
|
||||
|
||||
```python
|
||||
# [CÓDIGO NÃO TRADUZIDO, MANTER COMO ESTÁ]
|
||||
#!/usr/bin/env python
|
||||
import json
|
||||
import os
|
||||
from typing import List, Dict
|
||||
from pydantic import BaseModel, Field
|
||||
from crewai import LLM
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from guide_creator_flow.crews.content_crew.content_crew import ContentCrew
|
||||
|
||||
# Definir nossos modelos para dados estruturados
|
||||
class Section(BaseModel):
|
||||
title: str = Field(description="Title of the section")
|
||||
description: str = Field(description="Brief description of what the section should cover")
|
||||
|
||||
class GuideOutline(BaseModel):
|
||||
title: str = Field(description="Title of the guide")
|
||||
introduction: str = Field(description="Introduction to the topic")
|
||||
target_audience: str = Field(description="Description of the target audience")
|
||||
sections: List[Section] = Field(description="List of sections in the guide")
|
||||
conclusion: str = Field(description="Conclusion or summary of the guide")
|
||||
|
||||
# Definir o estado do nosso flow
|
||||
class GuideCreatorState(BaseModel):
|
||||
topic: str = ""
|
||||
audience_level: str = ""
|
||||
guide_outline: GuideOutline = None
|
||||
sections_content: Dict[str, str] = {}
|
||||
|
||||
class GuideCreatorFlow(Flow[GuideCreatorState]):
|
||||
"""Flow para criar um guia abrangente sobre qualquer tópico"""
|
||||
|
||||
@start()
|
||||
def get_user_input(self):
|
||||
"""Obter entrada do usuário sobre o tópico e público do guia"""
|
||||
print("\n=== Create Your Comprehensive Guide ===\n")
|
||||
|
||||
# Obter entrada do usuário
|
||||
self.state.topic = input("What topic would you like to create a guide for? ")
|
||||
|
||||
# Obter nível do público com validação
|
||||
while True:
|
||||
audience = input("Who is your target audience? (beginner/intermediate/advanced) ").lower()
|
||||
if audience in ["beginner", "intermediate", "advanced"]:
|
||||
self.state.audience_level = audience
|
||||
break
|
||||
print("Please enter 'beginner', 'intermediate', or 'advanced'")
|
||||
|
||||
print(f"\nCreating a guide on {self.state.topic} for {self.state.audience_level} audience...\n")
|
||||
return self.state
|
||||
|
||||
@listen(get_user_input)
|
||||
def create_guide_outline(self, state):
|
||||
"""Criar um esboço estruturado para o guia usando uma chamada direta ao LLM"""
|
||||
print("Creating guide outline...")
|
||||
|
||||
# Inicializar o LLM
|
||||
llm = LLM(model="openai/gpt-4o-mini", response_format=GuideOutline)
|
||||
|
||||
# Criar as mensagens para o esboço
|
||||
messages = [
|
||||
{"role": "system", "content": "You are a helpful assistant designed to output JSON."},
|
||||
{"role": "user", "content": f"""
|
||||
Create a detailed outline for a comprehensive guide on "{state.topic}" for {state.audience_level} level learners.
|
||||
|
||||
The outline should include:
|
||||
1. A compelling title for the guide
|
||||
2. An introduction to the topic
|
||||
3. 4-6 main sections that cover the most important aspects of the topic
|
||||
4. A conclusion or summary
|
||||
|
||||
For each section, provide a clear title and a brief description of what it should cover.
|
||||
"""}
|
||||
]
|
||||
|
||||
# Fazer a chamada ao LLM com formato de resposta JSON
|
||||
response = llm.call(messages=messages)
|
||||
|
||||
# Analisar a resposta JSON
|
||||
outline_dict = json.loads(response)
|
||||
self.state.guide_outline = GuideOutline(**outline_dict)
|
||||
|
||||
# Garantir que o diretório de saída exista antes de salvar
|
||||
os.makedirs("output", exist_ok=True)
|
||||
|
||||
# Salvar o esboço em um arquivo
|
||||
with open("output/guide_outline.json", "w") as f:
|
||||
json.dump(outline_dict, f, indent=2)
|
||||
|
||||
print(f"Guide outline created with {len(self.state.guide_outline.sections)} sections")
|
||||
return self.state.guide_outline
|
||||
|
||||
@listen(create_guide_outline)
|
||||
def write_and_compile_guide(self, outline):
|
||||
"""Escrever todas as seções e compilar o guia"""
|
||||
print("Writing guide sections and compiling...")
|
||||
completed_sections = []
|
||||
|
||||
# Processar seções uma por uma para manter o fluxo de contexto
|
||||
for section in outline.sections:
|
||||
print(f"Processing section: {section.title}")
|
||||
|
||||
# Construir contexto a partir das seções anteriores
|
||||
previous_sections_text = ""
|
||||
if completed_sections:
|
||||
previous_sections_text = "# Previously Written Sections\n\n"
|
||||
for title in completed_sections:
|
||||
previous_sections_text += f"## {title}\n\n"
|
||||
previous_sections_text += self.state.sections_content.get(title, "") + "\n\n"
|
||||
else:
|
||||
previous_sections_text = "No previous sections written yet."
|
||||
|
||||
# Executar a crew de conteúdo para esta seção
|
||||
result = ContentCrew().crew().kickoff(inputs={
|
||||
"section_title": section.title,
|
||||
"section_description": section.description,
|
||||
"audience_level": self.state.audience_level,
|
||||
"previous_sections": previous_sections_text,
|
||||
"draft_content": ""
|
||||
})
|
||||
|
||||
# Armazenar o conteúdo
|
||||
self.state.sections_content[section.title] = result.raw
|
||||
completed_sections.append(section.title)
|
||||
print(f"Section completed: {section.title}")
|
||||
|
||||
# Compilar o guia final
|
||||
guide_content = f"# {outline.title}\n\n"
|
||||
guide_content += f"## Introduction\n\n{outline.introduction}\n\n"
|
||||
|
||||
# Adicionar cada seção em ordem
|
||||
for section in outline.sections:
|
||||
section_content = self.state.sections_content.get(section.title, "")
|
||||
guide_content += f"\n\n{section_content}\n\n"
|
||||
|
||||
# Adicionar conclusão
|
||||
guide_content += f"## Conclusion\n\n{outline.conclusion}\n\n"
|
||||
|
||||
# Salvar o guia
|
||||
with open("output/complete_guide.md", "w") as f:
|
||||
f.write(guide_content)
|
||||
|
||||
print("\nComplete guide compiled and saved to output/complete_guide.md")
|
||||
return "Guide creation completed successfully"
|
||||
|
||||
def kickoff():
|
||||
"""Executar o flow criador de guias"""
|
||||
GuideCreatorFlow().kickoff()
|
||||
print("\n=== Flow Complete ===")
|
||||
print("Your comprehensive guide is ready in the output directory.")
|
||||
print("Open output/complete_guide.md to view it.")
|
||||
|
||||
def plot():
|
||||
"""Gerar uma visualização do flow"""
|
||||
flow = GuideCreatorFlow()
|
||||
flow.plot("guide_creator_flow")
|
||||
print("Flow visualization saved to guide_creator_flow.html")
|
||||
|
||||
if __name__ == "__main__":
|
||||
kickoff()
|
||||
```
|
||||
|
||||
Vamos analisar o que está acontecendo neste flow:
|
||||
|
||||
142
docs/pt-BR/guides/flows/inputs-id-deprecation.mdx
Normal file
142
docs/pt-BR/guides/flows/inputs-id-deprecation.mdx
Normal file
@@ -0,0 +1,142 @@
|
||||
---
|
||||
title: "Migrando de inputs.id para restore_from_state_id"
|
||||
description: "Mover fluxos @persist da hidratação obsoleta inputs.id para o campo suportado restore_from_state_id"
|
||||
icon: "arrow-right-arrow-left"
|
||||
---
|
||||
|
||||
<Warning>
|
||||
Passar `id` dentro de `inputs` para hidratar um fluxo `@persist` é **obsoleto** e
|
||||
programado para remoção em uma versão futura. A substituição, `restore_from_state_id`,
|
||||
está disponível no CrewAI **v1.14.5 e posterior** — os passos abaixo se aplicam uma vez que você
|
||||
faça a atualização.
|
||||
</Warning>
|
||||
|
||||
## Visão Geral
|
||||
|
||||
A maneira documentada de hidratar um fluxo `@persist` de uma execução anterior é passar
|
||||
o UUID dessa execução como `inputs.id`. O CrewAI agora expõe um campo dedicado,
|
||||
`restore_from_state_id`, que realiza a mesma hidratação sem sobrecarregar a
|
||||
carga útil de `inputs` — e sem acoplar a chave de hidratação à identidade da nova execução.
|
||||
|
||||
## Migração
|
||||
|
||||
Se você atualmente inicia um fluxo `@persist` com `inputs={"id": ...}`:
|
||||
|
||||
```python
|
||||
# Obsoleto
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(inputs={"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv"})
|
||||
```
|
||||
|
||||
Mude para `restore_from_state_id`:
|
||||
|
||||
```python
|
||||
# Suportado
|
||||
flow = CounterFlow()
|
||||
flow.kickoff(restore_from_state_id="abcd1234-5678-90ef-ghij-klmnopqrstuv")
|
||||
```
|
||||
|
||||
Os dois modos têm semânticas de linhagem diferentes:
|
||||
|
||||
- `inputs={"id": <uuid>}` (obsoleto) — **retomar**: as gravações são feitas sob o id fornecido,
|
||||
estendendo a mesma história de `flow_uuid`.
|
||||
- `restore_from_state_id=<uuid>` — **dividir**: hidrata o estado a partir de um snapshot, então
|
||||
grava sob um novo `state.id`. A história do fluxo de origem é preservada.
|
||||
|
||||
Para a maioria dos cenários de produção — reexecutar um fluxo hidratado de um estado anterior — criar um fork
|
||||
é o que você deseja. Veja [Dominando o Estado do Fluxo](/pt-BR/guides/flows/mastering-flow-state)
|
||||
para o modelo mental completo.
|
||||
|
||||
Se você iniciar seu fluxo pela API REST do CrewAI AMP, veja [AMP](#amp) abaixo para a
|
||||
migração equivalente da carga útil.
|
||||
|
||||
## Por que estamos descontinuando `inputs.id` para `@persist`?
|
||||
|
||||
`inputs.id` é atualmente a maneira documentada de retomar um fluxo `@persist` de uma
|
||||
execução anterior. O problema é que o mesmo UUID faz duas funções ao mesmo tempo:
|
||||
|
||||
1. **Seleciona qual snapshot o `@persist` usa para hidratar** — carrega o estado salvo
|
||||
sob aquele UUID.
|
||||
2. **Torna-se o ID de Execução do Fluxo da nova execução** (`state.id` no SDK;
|
||||
apresentado como `flow_id` em alguns contextos) — cada gravação `@persist` a partir desta
|
||||
inicialização também cai sob aquele mesmo UUID.
|
||||
|
||||
Esse papel duplo é a causa raiz dos problemas que este guia descreve. Como o
|
||||
UUID fornecido também é o id da nova execução, duas inicializações que passam o mesmo
|
||||
`inputs.id` não são duas execuções distintas — elas compartilham um id, compartilham um registro
|
||||
de persistência e (no AMP) compartilham uma linha na lista de execuções. Não há como dizer
|
||||
"hidratar a partir deste snapshot, mas registrar esta execução separadamente" sem dividir as
|
||||
duas responsabilidades.
|
||||
|
||||
`restore_from_state_id` é essa divisão. Ele informa ao `@persist` de qual snapshot hidratar,
|
||||
enquanto deixa a nova execução livre para receber um novo `state.id`. A
|
||||
fonte de hidratação e a execução registrada não são mais o mesmo UUID — que é o que
|
||||
a maioria dos cenários de produção realmente deseja.
|
||||
|
||||
## Cronograma de remoção
|
||||
|
||||
`inputs.id` para hidratação `@persist` está programado para remoção em uma versão futura do
|
||||
CrewAI. Não há um corte imediato — fluxos existentes continuam a funcionar — mas
|
||||
uma vez que você atualize para v1.14.5 ou posterior, novo código deve usar `restore_from_state_id`, e
|
||||
fluxos existentes devem migrar na próxima oportunidade conveniente.
|
||||
|
||||
## AMP
|
||||
|
||||
Se você implantar seu fluxo no CrewAI AMP, a migração se estende à carga útil de inicialização
|
||||
enviada para sua Crew implantada, e os sintomas visíveis de reutilização de `inputs.id` aparecem
|
||||
no painel de controle de implantação. As duas subseções abaixo cobrem ambos.
|
||||
|
||||
### Migrando a carga útil de inicialização
|
||||
|
||||
Se você atualmente inicia um fluxo implantado incorporando `id` em `inputs`:
|
||||
|
||||
```bash
|
||||
# Obsoleto
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{"inputs": {"id": "abcd1234-5678-90ef-ghij-klmnopqrstuv", "topic": "AI Agent Frameworks"}}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
Mova o UUID para o campo `restoreFromStateId` de nível superior:
|
||||
|
||||
```bash
|
||||
# Suportado
|
||||
curl -X POST \
|
||||
-H "Content-Type: application/json" \
|
||||
-H "Authorization: Bearer YOUR_CREW_TOKEN" \
|
||||
-d '{
|
||||
"inputs": {"topic": "AI Agent Frameworks"},
|
||||
"restoreFromStateId": "abcd1234-5678-90ef-ghij-klmnopqrstuv"
|
||||
}' \
|
||||
https://your-crew-url.crewai.com/kickoff
|
||||
```
|
||||
|
||||
`restoreFromStateId` fica ao lado de `inputs` na carga útil de inicialização, não dentro dela. O
|
||||
objeto `inputs` agora carrega apenas valores que seu fluxo realmente consome.
|
||||
|
||||
### O que acontece quando `inputs.id` é reutilizado
|
||||
|
||||
Quando o AMP recebe um kickoff para um fluxo cujo `inputs.id` corresponde a uma execução
|
||||
existente, ele resolve para o registro existente em vez de criar um novo. A partir
|
||||
do painel de controle de implantação, você verá:
|
||||
|
||||
- **Status da execução** — o status da nova execução sobrescreve o status da execução anterior. Uma
|
||||
execução finalizada pode voltar para `running`, ou uma execução `completed` pode mudar para
|
||||
`error` se a nova inicialização falhar — de qualquer forma, o painel não reflete mais
|
||||
a execução original.
|
||||
- **Rastros** — Os OTel traces se acumulam entre as inicializações porque compartilham o mesmo
|
||||
id de execução; os traces da execução anterior são substituídos ou misturados
|
||||
com os da nova execução. Uma reprodução passo a passo não corresponde mais a uma única execução.
|
||||
- **Lista de execuções** — kickoffs que deveriam aparecer como linhas separadas colapsam em
|
||||
uma única entrada, ocultando o histórico.
|
||||
|
||||
Migrar para `restoreFromStateId` mantém cada kickoff como sua própria execução — com
|
||||
seu próprio status, traces e entrada na lista — enquanto ainda hidrata o estado de uma
|
||||
execução anterior.
|
||||
|
||||
<Card title="Precisa de Ajuda?" icon="headset" href="mailto:support@crewai.com">
|
||||
Entre em contato com nossa equipe de suporte se você não tiver certeza de qual modo seu fluxo precisa ou se encontrar problemas
|
||||
durante a migração.
|
||||
</Card>
|
||||
@@ -63,7 +63,60 @@ Com estado não estruturado:
|
||||
Veja um exemplo simples de gerenciamento de estado não estruturado:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
|
||||
class UnstructuredStateFlow(Flow):
|
||||
@start()
|
||||
def initialize_data(self):
|
||||
print("Initializing flow data")
|
||||
# Adiciona pares chave-valor ao estado
|
||||
self.state["user_name"] = "Alex"
|
||||
self.state["preferences"] = {
|
||||
"theme": "dark",
|
||||
"language": "English"
|
||||
}
|
||||
self.state["items"] = []
|
||||
|
||||
# O estado do flow recebe automaticamente um ID único
|
||||
print(f"Flow ID: {self.state['id']}")
|
||||
|
||||
return "Initialized"
|
||||
|
||||
@listen(initialize_data)
|
||||
def process_data(self, previous_result):
|
||||
print(f"Previous step returned: {previous_result}")
|
||||
|
||||
# Acessa e modifica o estado
|
||||
user = self.state["user_name"]
|
||||
print(f"Processing data for {user}")
|
||||
|
||||
# Adiciona itens a uma lista no estado
|
||||
self.state["items"].append("item1")
|
||||
self.state["items"].append("item2")
|
||||
|
||||
# Adiciona um novo par chave-valor
|
||||
self.state["processed"] = True
|
||||
|
||||
return "Processed"
|
||||
|
||||
@listen(process_data)
|
||||
def generate_summary(self, previous_result):
|
||||
# Acessa múltiplos valores do estado
|
||||
user = self.state["user_name"]
|
||||
theme = self.state["preferences"]["theme"]
|
||||
items = self.state["items"]
|
||||
processed = self.state.get("processed", False)
|
||||
|
||||
summary = f"User {user} has {len(items)} items with {theme} theme. "
|
||||
summary += "Data is processed." if processed else "Data is not processed."
|
||||
|
||||
return summary
|
||||
|
||||
# Executa o flow
|
||||
flow = UnstructuredStateFlow()
|
||||
result = flow.kickoff()
|
||||
print(f"Final result: {result}")
|
||||
print(f"Final state: {flow.state}")
|
||||
```
|
||||
|
||||
### Quando Usar Estado Não Estruturado
|
||||
@@ -94,7 +147,63 @@ Ao utilizar estado estruturado:
|
||||
Veja como implementar o gerenciamento de estado estruturado:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from pydantic import BaseModel, Field
|
||||
from typing import List, Dict, Optional
|
||||
|
||||
# Define o modelo de estado
|
||||
class UserPreferences(BaseModel):
|
||||
theme: str = "light"
|
||||
language: str = "English"
|
||||
|
||||
class AppState(BaseModel):
|
||||
user_name: str = ""
|
||||
preferences: UserPreferences = UserPreferences()
|
||||
items: List[str] = []
|
||||
processed: bool = False
|
||||
completion_percentage: float = 0.0
|
||||
|
||||
# Cria um flow com estado tipado
|
||||
class StructuredStateFlow(Flow[AppState]):
|
||||
@start()
|
||||
def initialize_data(self):
|
||||
print("Initializing flow data")
|
||||
# Define valores do estado (com checagem de tipo)
|
||||
self.state.user_name = "Taylor"
|
||||
self.state.preferences.theme = "dark"
|
||||
|
||||
# O campo ID está disponível automaticamente
|
||||
print(f"Flow ID: {self.state.id}")
|
||||
|
||||
return "Initialized"
|
||||
|
||||
@listen(initialize_data)
|
||||
def process_data(self, previous_result):
|
||||
print(f"Processing data for {self.state.user_name}")
|
||||
|
||||
# Modifica o estado (com checagem de tipo)
|
||||
self.state.items.append("item1")
|
||||
self.state.items.append("item2")
|
||||
self.state.processed = True
|
||||
self.state.completion_percentage = 50.0
|
||||
|
||||
return "Processed"
|
||||
|
||||
@listen(process_data)
|
||||
def generate_summary(self, previous_result):
|
||||
# Acessa o estado (com autocompletar)
|
||||
summary = f"User {self.state.user_name} has {len(self.state.items)} items "
|
||||
summary += f"with {self.state.preferences.theme} theme. "
|
||||
summary += "Data is processed." if self.state.processed else "Data is not processed."
|
||||
summary += f" Completion: {self.state.completion_percentage}%"
|
||||
|
||||
return summary
|
||||
|
||||
# Executa o flow
|
||||
flow = StructuredStateFlow()
|
||||
result = flow.kickoff()
|
||||
print(f"Final result: {result}")
|
||||
print(f"Final state: {flow.state}")
|
||||
```
|
||||
|
||||
### Benefícios do Estado Estruturado
|
||||
@@ -138,7 +247,29 @@ Independente de você usar estado estruturado ou não estruturado, é possível
|
||||
Métodos do flow podem retornar valores que serão passados como argumento para métodos listeners:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
|
||||
class DataPassingFlow(Flow):
|
||||
@start()
|
||||
def generate_data(self):
|
||||
# Este valor de retorno será passado para os métodos listeners
|
||||
return "Generated data"
|
||||
|
||||
@listen(generate_data)
|
||||
def process_data(self, data_from_previous_step):
|
||||
print(f"Received: {data_from_previous_step}")
|
||||
# Você pode modificar os dados e repassá-los adiante
|
||||
processed_data = f"{data_from_previous_step} - processed"
|
||||
# Também atualiza o estado
|
||||
self.state["last_processed"] = processed_data
|
||||
return processed_data
|
||||
|
||||
@listen(process_data)
|
||||
def finalize_data(self, processed_data):
|
||||
print(f"Received processed data: {processed_data}")
|
||||
# Acessa tanto os dados passados quanto o estado
|
||||
last_processed = self.state.get("last_processed", "")
|
||||
return f"Final: {processed_data} (from state: {last_processed})"
|
||||
```
|
||||
|
||||
Esse padrão permite combinar passagem de dados direta com atualizações de estado para obter máxima flexibilidade.
|
||||
@@ -156,7 +287,36 @@ O decorador `@persist()` automatiza a persistência de estado, salvando o estado
|
||||
Ao aplicar em nível de classe, `@persist()` salva o estado após cada execução de método:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from crewai.flow.persistence import persist
|
||||
from pydantic import BaseModel
|
||||
|
||||
class CounterState(BaseModel):
|
||||
value: int = 0
|
||||
|
||||
@persist() # Aplica à classe inteira do flow
|
||||
class PersistentCounterFlow(Flow[CounterState]):
|
||||
@start()
|
||||
def increment(self):
|
||||
self.state.value += 1
|
||||
print(f"Incremented to {self.state.value}")
|
||||
return self.state.value
|
||||
|
||||
@listen(increment)
|
||||
def double(self, value):
|
||||
self.state.value = value * 2
|
||||
print(f"Doubled to {self.state.value}")
|
||||
return self.state.value
|
||||
|
||||
# Primeira execução
|
||||
flow1 = PersistentCounterFlow()
|
||||
result1 = flow1.kickoff()
|
||||
print(f"First run result: {result1}")
|
||||
|
||||
# Segunda execução - passa o ID para carregar o estado persistido
|
||||
flow2 = PersistentCounterFlow()
|
||||
result2 = flow2.kickoff(inputs={"id": flow1.state.id})
|
||||
print(f"Second run result: {result2}") # Será maior devido ao estado persistido
|
||||
```
|
||||
|
||||
#### Persistência em Nível de Método
|
||||
@@ -164,7 +324,26 @@ Ao aplicar em nível de classe, `@persist()` salva o estado após cada execuçã
|
||||
Para mais controle, você pode aplicar `@persist()` em métodos específicos:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from crewai.flow.persistence import persist
|
||||
|
||||
class SelectivePersistFlow(Flow):
|
||||
@start()
|
||||
def first_step(self):
|
||||
self.state["count"] = 1
|
||||
return "First step"
|
||||
|
||||
@persist() # Persiste apenas após este método
|
||||
@listen(first_step)
|
||||
def important_step(self, prev_result):
|
||||
self.state["count"] += 1
|
||||
self.state["important_data"] = "This will be persisted"
|
||||
return "Important step completed"
|
||||
|
||||
@listen(important_step)
|
||||
def final_step(self, prev_result):
|
||||
self.state["count"] += 1
|
||||
return f"Complete with count {self.state['count']}"
|
||||
```
|
||||
|
||||
#### Forking de Estado Persistido
|
||||
@@ -216,7 +395,45 @@ Notas sobre o comportamento:
|
||||
Você pode usar o estado para implementar lógicas condicionais complexas em seus flows:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, router, start
|
||||
from pydantic import BaseModel
|
||||
|
||||
class PaymentState(BaseModel):
|
||||
amount: float = 0.0
|
||||
is_approved: bool = False
|
||||
retry_count: int = 0
|
||||
|
||||
class PaymentFlow(Flow[PaymentState]):
|
||||
@start()
|
||||
def process_payment(self):
|
||||
# Simula o processamento do pagamento
|
||||
self.state.amount = 100.0
|
||||
self.state.is_approved = self.state.amount < 1000
|
||||
return "Payment processed"
|
||||
|
||||
@router(process_payment)
|
||||
def check_approval(self, previous_result):
|
||||
if self.state.is_approved:
|
||||
return "approved"
|
||||
elif self.state.retry_count < 3:
|
||||
return "retry"
|
||||
else:
|
||||
return "rejected"
|
||||
|
||||
@listen("approved")
|
||||
def handle_approval(self):
|
||||
return f"Payment of ${self.state.amount} approved!"
|
||||
|
||||
@listen("retry")
|
||||
def handle_retry(self):
|
||||
self.state.retry_count += 1
|
||||
print(f"Retrying payment (attempt {self.state.retry_count})...")
|
||||
# Aqui poderia ser implementada a lógica de retry
|
||||
return "Retry initiated"
|
||||
|
||||
@listen("rejected")
|
||||
def handle_rejection(self):
|
||||
return f"Payment of ${self.state.amount} rejected after {self.state.retry_count} retries."
|
||||
```
|
||||
|
||||
### Manipulações Complexas de Estado
|
||||
@@ -224,7 +441,60 @@ Você pode usar o estado para implementar lógicas condicionais complexas em seu
|
||||
Para transformar estados complexos, você pode criar métodos dedicados:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from pydantic import BaseModel
|
||||
from typing import List, Dict
|
||||
|
||||
class UserData(BaseModel):
|
||||
name: str
|
||||
active: bool = True
|
||||
login_count: int = 0
|
||||
|
||||
class ComplexState(BaseModel):
|
||||
users: Dict[str, UserData] = {}
|
||||
active_user_count: int = 0
|
||||
|
||||
class TransformationFlow(Flow[ComplexState]):
|
||||
@start()
|
||||
def initialize(self):
|
||||
# Adiciona alguns usuários
|
||||
self.add_user("alice", "Alice")
|
||||
self.add_user("bob", "Bob")
|
||||
self.add_user("charlie", "Charlie")
|
||||
return "Initialized"
|
||||
|
||||
@listen(initialize)
|
||||
def process_users(self, _):
|
||||
# Incrementa contagens de login
|
||||
for user_id in self.state.users:
|
||||
self.increment_login(user_id)
|
||||
|
||||
# Desativa um usuário
|
||||
self.deactivate_user("bob")
|
||||
|
||||
# Atualiza a contagem de ativos
|
||||
self.update_active_count()
|
||||
|
||||
return f"Processed {len(self.state.users)} users"
|
||||
|
||||
# Métodos auxiliares para transformações de estado
|
||||
def add_user(self, user_id: str, name: str):
|
||||
self.state.users[user_id] = UserData(name=name)
|
||||
self.update_active_count()
|
||||
|
||||
def increment_login(self, user_id: str):
|
||||
if user_id in self.state.users:
|
||||
self.state.users[user_id].login_count += 1
|
||||
|
||||
def deactivate_user(self, user_id: str):
|
||||
if user_id in self.state.users:
|
||||
self.state.users[user_id].active = False
|
||||
self.update_active_count()
|
||||
|
||||
def update_active_count(self):
|
||||
self.state.active_user_count = sum(
|
||||
1 for user in self.state.users.values() if user.active
|
||||
)
|
||||
```
|
||||
|
||||
Esse padrão de criar métodos auxiliares mantém seus métodos de flow limpos, enquanto permite manipulações complexas de estado.
|
||||
@@ -238,7 +508,71 @@ Um dos padrões mais poderosos na CrewAI é combinar o gerenciamento de estado d
|
||||
Você pode usar o estado do flow para parametrizar crews:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
from crewai.flow.flow import Flow, listen, start
|
||||
from crewai import Agent, Crew, Process, Task
|
||||
from pydantic import BaseModel
|
||||
|
||||
class ResearchState(BaseModel):
|
||||
topic: str = ""
|
||||
depth: str = "medium"
|
||||
results: str = ""
|
||||
|
||||
class ResearchFlow(Flow[ResearchState]):
|
||||
@start()
|
||||
def get_parameters(self):
|
||||
# Em uma aplicação real, isso pode vir da entrada do usuário
|
||||
self.state.topic = "Artificial Intelligence Ethics"
|
||||
self.state.depth = "deep"
|
||||
return "Parameters set"
|
||||
|
||||
@listen(get_parameters)
|
||||
def execute_research(self, _):
|
||||
# Cria os agentes
|
||||
researcher = Agent(
|
||||
role="Research Specialist",
|
||||
goal=f"Research {self.state.topic} in {self.state.depth} detail",
|
||||
backstory="You are an expert researcher with a talent for finding accurate information."
|
||||
)
|
||||
|
||||
writer = Agent(
|
||||
role="Content Writer",
|
||||
goal="Transform research into clear, engaging content",
|
||||
backstory="You excel at communicating complex ideas clearly and concisely."
|
||||
)
|
||||
|
||||
# Cria as tarefas
|
||||
research_task = Task(
|
||||
description=f"Research {self.state.topic} with {self.state.depth} analysis",
|
||||
expected_output="Comprehensive research notes in markdown format",
|
||||
agent=researcher
|
||||
)
|
||||
|
||||
writing_task = Task(
|
||||
description=f"Create a summary on {self.state.topic} based on the research",
|
||||
expected_output="Well-written article in markdown format",
|
||||
agent=writer,
|
||||
context=[research_task]
|
||||
)
|
||||
|
||||
# Cria e executa a crew
|
||||
research_crew = Crew(
|
||||
agents=[researcher, writer],
|
||||
tasks=[research_task, writing_task],
|
||||
process=Process.sequential,
|
||||
verbose=True
|
||||
)
|
||||
|
||||
# Executa a crew e armazena o resultado no estado
|
||||
result = research_crew.kickoff()
|
||||
self.state.results = result.raw
|
||||
|
||||
return "Research completed"
|
||||
|
||||
@listen(execute_research)
|
||||
def summarize_results(self, _):
|
||||
# Acessa os resultados armazenados
|
||||
result_length = len(self.state.results)
|
||||
return f"Research on {self.state.topic} completed with {result_length} characters of results."
|
||||
```
|
||||
|
||||
### Manipulando Saídas de Crews no Estado
|
||||
@@ -246,7 +580,21 @@ Você pode usar o estado do flow para parametrizar crews:
|
||||
Quando um crew finaliza, é possível processar sua saída e armazená-la no estado do flow:
|
||||
|
||||
```python
|
||||
# código não traduzido
|
||||
@listen(execute_crew)
|
||||
def process_crew_results(self, _):
|
||||
# Faz parsing dos resultados brutos (assumindo saída em JSON)
|
||||
import json
|
||||
try:
|
||||
results_dict = json.loads(self.state.raw_results)
|
||||
self.state.processed_results = {
|
||||
"title": results_dict.get("title", ""),
|
||||
"main_points": results_dict.get("main_points", []),
|
||||
"conclusion": results_dict.get("conclusion", "")
|
||||
}
|
||||
return "Results processed successfully"
|
||||
except json.JSONDecodeError:
|
||||
self.state.error = "Failed to parse crew results as JSON"
|
||||
return "Error processing results"
|
||||
```
|
||||
|
||||
## Boas Práticas para Gerenciamento de Estado
|
||||
@@ -256,7 +604,19 @@ Quando um crew finaliza, é possível processar sua saída e armazená-la no est
|
||||
Projete seu estado para conter somente o necessário:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
# Abrangente demais
|
||||
class BloatedState(BaseModel):
|
||||
user_data: Dict = {}
|
||||
system_settings: Dict = {}
|
||||
temporary_calculations: List = []
|
||||
debug_info: Dict = {}
|
||||
# ...muitos outros campos
|
||||
|
||||
# Melhor: estado focado
|
||||
class FocusedState(BaseModel):
|
||||
user_id: str
|
||||
preferences: Dict[str, str]
|
||||
completion_status: Dict[str, bool]
|
||||
```
|
||||
|
||||
### 2. Use Estado Estruturado em Flows Complexos
|
||||
@@ -264,7 +624,23 @@ Projete seu estado para conter somente o necessário:
|
||||
À medida que seus flows evoluem em complexidade, o estado estruturado se torna cada vez mais valioso:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
# Flow simples pode usar estado não estruturado
|
||||
class SimpleGreetingFlow(Flow):
|
||||
@start()
|
||||
def greet(self):
|
||||
self.state["name"] = "World"
|
||||
return f"Hello, {self.state['name']}!"
|
||||
|
||||
# Flow complexo se beneficia de estado estruturado
|
||||
class UserRegistrationState(BaseModel):
|
||||
username: str
|
||||
email: str
|
||||
verification_status: bool = False
|
||||
registration_date: datetime = Field(default_factory=datetime.now)
|
||||
last_login: Optional[datetime] = None
|
||||
|
||||
class RegistrationFlow(Flow[UserRegistrationState]):
|
||||
# Métodos com acesso ao estado fortemente tipado
|
||||
```
|
||||
|
||||
### 3. Documente Transições de Estado
|
||||
@@ -272,7 +648,18 @@ Projete seu estado para conter somente o necessário:
|
||||
Para flows complexos, documente como o estado muda ao longo da execução:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
@start()
|
||||
def initialize_order(self):
|
||||
"""
|
||||
Initialize order state with empty values.
|
||||
|
||||
State before: {}
|
||||
State after: {order_id: str, items: [], status: 'new'}
|
||||
"""
|
||||
self.state.order_id = str(uuid.uuid4())
|
||||
self.state.items = []
|
||||
self.state.status = "new"
|
||||
return "Order initialized"
|
||||
```
|
||||
|
||||
### 4. Trate Erros de Estado de Forma Elegante
|
||||
@@ -280,7 +667,18 @@ Para flows complexos, documente como o estado muda ao longo da execução:
|
||||
Implemente tratamento de erros ao acessar o estado:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
@listen(previous_step)
|
||||
def process_data(self, _):
|
||||
try:
|
||||
# Tenta acessar um valor que pode não existir
|
||||
user_preference = self.state.preferences.get("theme", "default")
|
||||
except (AttributeError, KeyError):
|
||||
# Trata o erro de forma elegante
|
||||
self.state.errors = self.state.get("errors", [])
|
||||
self.state.errors.append("Failed to access preferences")
|
||||
user_preference = "default"
|
||||
|
||||
return f"Used preference: {user_preference}"
|
||||
```
|
||||
|
||||
### 5. Use o Estado Para Acompanhar o Progresso
|
||||
@@ -288,7 +686,30 @@ Implemente tratamento de erros ao acessar o estado:
|
||||
Aproveite o estado para monitorar o progresso em flows de longa duração:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
class ProgressTrackingFlow(Flow):
|
||||
@start()
|
||||
def initialize(self):
|
||||
self.state["total_steps"] = 3
|
||||
self.state["current_step"] = 0
|
||||
self.state["progress"] = 0.0
|
||||
self.update_progress()
|
||||
return "Initialized"
|
||||
|
||||
def update_progress(self):
|
||||
"""Helper method to calculate and update progress"""
|
||||
if self.state.get("total_steps", 0) > 0:
|
||||
self.state["progress"] = (self.state.get("current_step", 0) /
|
||||
self.state["total_steps"]) * 100
|
||||
print(f"Progress: {self.state['progress']:.1f}%")
|
||||
|
||||
@listen(initialize)
|
||||
def step_one(self, _):
|
||||
# Realiza o trabalho...
|
||||
self.state["current_step"] = 1
|
||||
self.update_progress()
|
||||
return "Step 1 complete"
|
||||
|
||||
# Etapas adicionais...
|
||||
```
|
||||
|
||||
### 6. Prefira Operações Imutáveis Quando Possível
|
||||
@@ -296,7 +717,22 @@ Aproveite o estado para monitorar o progresso em flows de longa duração:
|
||||
Especialmente com estado estruturado, prefira operações imutáveis para maior clareza:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
# Em vez de modificar listas no local:
|
||||
self.state.items.append(new_item) # Operação mutável
|
||||
|
||||
# Considere criar um novo estado:
|
||||
from pydantic import BaseModel
|
||||
from typing import List
|
||||
|
||||
class ItemState(BaseModel):
|
||||
items: List[str] = []
|
||||
|
||||
class ImmutableFlow(Flow[ItemState]):
|
||||
@start()
|
||||
def add_item(self):
|
||||
# Cria uma nova lista com o item adicionado
|
||||
self.state.items = [*self.state.items, "new item"]
|
||||
return "Item added"
|
||||
```
|
||||
|
||||
## Depurando o Estado do Flow
|
||||
@@ -306,7 +742,24 @@ Especialmente com estado estruturado, prefira operações imutáveis para maior
|
||||
Ao desenvolver, adicione logs para acompanhar mudanças no estado:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
import logging
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
|
||||
class LoggingFlow(Flow):
|
||||
def log_state(self, step_name):
|
||||
logging.info(f"State after {step_name}: {self.state}")
|
||||
|
||||
@start()
|
||||
def initialize(self):
|
||||
self.state["counter"] = 0
|
||||
self.log_state("initialize")
|
||||
return "Initialized"
|
||||
|
||||
@listen(initialize)
|
||||
def increment(self, _):
|
||||
self.state["counter"] += 1
|
||||
self.log_state("increment")
|
||||
return f"Incremented to {self.state['counter']}"
|
||||
```
|
||||
|
||||
### Visualizando o Estado
|
||||
@@ -314,7 +767,30 @@ Ao desenvolver, adicione logs para acompanhar mudanças no estado:
|
||||
Você pode adicionar métodos para visualizar seu estado durante o debug:
|
||||
|
||||
```python
|
||||
# Exemplo não traduzido
|
||||
def visualize_state(self):
|
||||
"""Create a simple visualization of the current state"""
|
||||
import json
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
|
||||
console = Console()
|
||||
|
||||
if hasattr(self.state, "model_dump"):
|
||||
# Pydantic v2
|
||||
state_dict = self.state.model_dump()
|
||||
elif hasattr(self.state, "dict"):
|
||||
# Pydantic v1
|
||||
state_dict = self.state.dict()
|
||||
else:
|
||||
# Estado não estruturado
|
||||
state_dict = dict(self.state)
|
||||
|
||||
# Remove o id para uma saída mais limpa
|
||||
if "id" in state_dict:
|
||||
state_dict.pop("id")
|
||||
|
||||
state_json = json.dumps(state_dict, indent=2, default=str)
|
||||
console.print(Panel(state_json, title="Current Flow State"))
|
||||
```
|
||||
|
||||
## Conclusão
|
||||
|
||||
190
docs/pt-BR/guides/migration/upgrading-crewai.mdx
Normal file
190
docs/pt-BR/guides/migration/upgrading-crewai.mdx
Normal file
@@ -0,0 +1,190 @@
|
||||
---
|
||||
title: "Atualizando o CrewAI"
|
||||
description: "Como atualizar o CrewAI no seu projeto e adaptar-se a breaking changes entre versões."
|
||||
icon: "arrow-up-circle"
|
||||
---
|
||||
|
||||
## Visão Geral
|
||||
|
||||
Os lançamentos do CrewAI trazem novos recursos regularmente. Este guia mostra os passos práticos para manter sua instalação atualizada — tanto a CLI quanto o ambiente virtual do seu projeto.
|
||||
|
||||
Se você está começando do zero, veja [Instalação](/pt-BR/installation). Se está vindo de outro framework, veja [Migrando do LangGraph](/pt-BR/guides/migration/migrating-from-langgraph).
|
||||
|
||||
---
|
||||
|
||||
## As Duas Coisas Que Você Pode Querer Atualizar
|
||||
|
||||
O CrewAI vive em dois lugares na sua máquina, e cada um se atualiza de forma independente:
|
||||
|
||||
| O quê | Como é instalado | Como atualizar |
|
||||
|---|---|---|
|
||||
| A **CLI global `crewai`** | `uv tool install crewai` | `uv tool install crewai --upgrade` |
|
||||
| O **venv do projeto** (onde seu código roda) | `crewai install` / `uv sync` | `uv add "crewai[...]>=X.Y.Z"` e depois `crewai install` |
|
||||
|
||||
Esses dois podem — e frequentemente ficam — fora de sincronia. Rodar `crewai --version` mostra a versão da CLI. Rodar `uv pip show crewai` dentro do seu projeto mostra a versão do venv. Se forem diferentes, isso é normal; o que importa para o código em execução é a versão do venv.
|
||||
|
||||
## Por Que `crewai install` Sozinho Não Atualiza
|
||||
|
||||
`crewai install` é um wrapper fino em torno de `uv sync`. Ele instala exatamente o que o arquivo `uv.lock` atual diz — ele **não** muda nenhuma restrição de versão.
|
||||
|
||||
Se seu `pyproject.toml` diz `crewai>=1.11.1` e o lock file resolveu para `1.11.1`, executar `crewai install` vai te manter em `1.11.1` para sempre, mesmo que `1.14.4` esteja disponível.
|
||||
|
||||
Para realmente atualizar, você precisa:
|
||||
|
||||
1. Atualizar a restrição de versão em `pyproject.toml`
|
||||
2. Re-resolver o lock file
|
||||
3. Sincronizar o venv
|
||||
|
||||
`uv add` faz os três de uma vez só.
|
||||
|
||||
## Como Atualizar Seu Projeto
|
||||
|
||||
```bash
|
||||
# Aumenta a restrição e re-resolve o lock em um único comando
|
||||
uv add "crewai[tools]>=1.14.4"
|
||||
|
||||
# Sincroniza o venv (crewai install chama uv sync por baixo dos panos)
|
||||
crewai install
|
||||
|
||||
# Verifica
|
||||
uv pip show crewai
|
||||
# → Version: 1.14.4
|
||||
```
|
||||
|
||||
Substitua `[tools]` por quaisquer extras que seu projeto utilize (ex.: `[tools,anthropic]`). Verifique a lista de `dependencies` do seu `pyproject.toml` se estiver em dúvida.
|
||||
|
||||
<Note>
|
||||
`uv add` atualiza tanto `pyproject.toml` **quanto** `uv.lock` atomicamente. Se você editar `pyproject.toml` manualmente, ainda precisa rodar `uv lock --upgrade-package crewai` para re-resolver o lock file antes que `crewai install` pegue a nova versão.
|
||||
</Note>
|
||||
|
||||
## Atualizando a CLI Global
|
||||
|
||||
A CLI global é separada do seu projeto. Atualize com:
|
||||
|
||||
```bash
|
||||
uv tool install crewai --upgrade
|
||||
```
|
||||
|
||||
Se seu shell avisar sobre o `PATH` após a atualização, recarregue-o:
|
||||
|
||||
```bash
|
||||
uv tool update-shell
|
||||
```
|
||||
|
||||
Isso **não** mexe no venv do seu projeto — você ainda precisa de `uv add` + `crewai install` dentro do projeto.
|
||||
|
||||
## Verifique Se Ambos Estão em Sincronia
|
||||
|
||||
```bash
|
||||
# Versão da CLI global
|
||||
crewai --version
|
||||
|
||||
# Versão do venv do projeto
|
||||
uv pip show crewai | grep Version
|
||||
```
|
||||
|
||||
Eles não precisam coincidir — mas a versão do venv do projeto é o que importa para o comportamento em runtime.
|
||||
|
||||
<Note>
|
||||
CrewAI requer `Python >=3.10, <3.14`. Se o `uv` foi instalado contra um interpretador mais antigo, recrie o venv do projeto com uma versão suportada do Python antes de rodar `crewai install`.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## Breaking Changes e Notas de Migração
|
||||
|
||||
A maioria das atualizações requer apenas pequenos ajustes. As áreas abaixo são as que quebram silenciosamente ou com tracebacks confusos.
|
||||
|
||||
### Caminhos de import: tools e `BaseTool`
|
||||
|
||||
O caminho canônico para tools é `crewai.tools`. Caminhos antigos ainda aparecem em tutoriais, mas devem ser atualizados.
|
||||
|
||||
```python
|
||||
# Antes
|
||||
from crewai_tools import BaseTool
|
||||
from crewai.agents.tools import tool
|
||||
|
||||
# Depois
|
||||
from crewai.tools import BaseTool, tool
|
||||
```
|
||||
|
||||
O decorador `@tool` e a subclasse `BaseTool` ambos vivem em `crewai.tools`. `AgentFinish` e outros símbolos internos do agente não fazem mais parte da superfície pública — se você os estava importando, mude para event listeners ou callbacks de `Task`.
|
||||
|
||||
### Mudanças de parâmetros em `Agent`
|
||||
|
||||
```python
|
||||
from crewai import Agent
|
||||
|
||||
agent = Agent(
|
||||
role="Researcher",
|
||||
goal="Find authoritative sources on {topic}",
|
||||
backstory="You are a careful, source-driven researcher.",
|
||||
llm="gpt-4o-mini", # nome do modelo como string OU um objeto LLM
|
||||
verbose=True, # bool, não um nível inteiro
|
||||
max_iter=15, # default mudou entre versões — defina explicitamente
|
||||
allow_delegation=False,
|
||||
)
|
||||
```
|
||||
|
||||
- `llm` aceita tanto um nome de modelo como string (resolvido pelo provedor configurado) quanto um objeto `LLM` para controle granular.
|
||||
- `verbose` é um `bool` puro. Passar um inteiro não alterna mais níveis de log.
|
||||
- Os defaults de `max_iter` mudaram entre releases. Se seu agente para silenciosamente de iterar após a primeira chamada de tool, defina `max_iter` explicitamente.
|
||||
|
||||
### Parâmetros de `Crew`
|
||||
|
||||
```python
|
||||
from crewai import Crew, Process
|
||||
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
process=Process.sequential, # ou Process.hierarchical
|
||||
memory=True,
|
||||
cache=True,
|
||||
embedder={"provider": "openai", "config": {"model": "text-embedding-3-small"}},
|
||||
)
|
||||
```
|
||||
|
||||
- `process=Process.hierarchical` requer ou `manager_llm=` ou `manager_agent=`. Sem um deles, o kickoff lança erro na validação.
|
||||
- `memory=True` com um provedor de embedding não-default precisa de um dicionário `embedder` — veja [Configuração de memória e embedder](#memory-embedder-config) abaixo.
|
||||
|
||||
### Saída estruturada de `Task`
|
||||
|
||||
Use `output_pydantic`, `output_json` ou `output_file` para forçar o resultado de uma task em um formato tipado:
|
||||
|
||||
```python
|
||||
from pydantic import BaseModel
|
||||
from crewai import Task
|
||||
|
||||
class Article(BaseModel):
|
||||
title: str
|
||||
body: str
|
||||
|
||||
write = Task(
|
||||
description="Write an article about {topic}",
|
||||
expected_output="A short article with a title and body",
|
||||
agent=writer,
|
||||
output_pydantic=Article, # a classe, NÃO uma instância
|
||||
output_file="output/article.md",
|
||||
)
|
||||
```
|
||||
|
||||
`output_pydantic` recebe a **classe** em si. Passar `Article(title="", body="")` é um erro comum e falha com um erro de validação confuso.
|
||||
|
||||
### Configuração de memória e embedder {#memory-embedder-config}
|
||||
|
||||
Se `memory=True` e você não está usando os embeddings padrão da OpenAI, é preciso passar um `embedder`:
|
||||
|
||||
```python
|
||||
crew = Crew(
|
||||
agents=[...],
|
||||
tasks=[...],
|
||||
memory=True,
|
||||
embedder={
|
||||
"provider": "ollama",
|
||||
"config": {"model": "nomic-embed-text"},
|
||||
},
|
||||
)
|
||||
```
|
||||
|
||||
Defina as credenciais do provedor relevante (`OPENAI_API_KEY`, `OLLAMA_HOST`, etc.) no seu arquivo `.env`. Os caminhos de armazenamento de memória são locais ao projeto por default — apague o diretório de memória do projeto se trocar de embedder, já que dimensões diferentes não se misturam.
|
||||
@@ -13,7 +13,7 @@ The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compu
|
||||
|
||||
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
|
||||
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
|
||||
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox; also supports `move`, `find` (content grep), `search` (filename glob), `chmod` (permissions), `replace` (bulk find-and-replace), and `exists`.
|
||||
|
||||
All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
|
||||
|
||||
@@ -55,7 +55,7 @@ from crewai_tools import DaytonaPythonTool
|
||||
tool = DaytonaPythonTool()
|
||||
result = tool.run(code="print(sum(range(10)))")
|
||||
print(result)
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": None}
|
||||
# {"exit_code": 0, "result": "45\n", "artifacts": ExecutionArtifacts(stdout="45\n", charts=[])}
|
||||
```
|
||||
|
||||
### Multi-step shell session (persistent)
|
||||
@@ -63,17 +63,22 @@ print(result)
|
||||
```python Code
|
||||
from crewai_tools import DaytonaExecTool, DaytonaFileTool
|
||||
|
||||
# Create the persistent sandbox via the first tool, then attach the second
|
||||
# tool to it so both share state (installed packages, files, env vars).
|
||||
exec_tool = DaytonaExecTool(persistent=True)
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Install a package, then write and run a script — all in the same sandbox
|
||||
exec_tool.run(command="pip install httpx -q")
|
||||
file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
|
||||
exec_tool.run(command="python /workspace/fetch.py")
|
||||
file_tool = DaytonaFileTool(sandbox_id=exec_tool.active_sandbox_id)
|
||||
|
||||
file_tool.run(
|
||||
action="write",
|
||||
path="workspace/script.py",
|
||||
content="import httpx; print(f'httpx loaded, version {httpx.__version__}')",
|
||||
)
|
||||
exec_tool.run(command="python workspace/script.py")
|
||||
```
|
||||
|
||||
<Note>
|
||||
Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
|
||||
By default, each tool with `persistent=True` lazily creates its **own** sandbox on first use. The pattern above shares a single sandbox across multiple tools by reading the first tool's `active_sandbox_id` after a `.run()` call and passing it to the others via `sandbox_id=...`. With `persistent=False` (the default), every `.run()` call gets a fresh sandbox that's deleted at the end of that call.
|
||||
</Note>
|
||||
|
||||
### Attach to an existing sandbox
|
||||
@@ -82,7 +87,7 @@ Each tool instance maintains its own persistent sandbox. To share **one** sandbo
|
||||
from crewai_tools import DaytonaExecTool
|
||||
|
||||
tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
|
||||
result = tool.run(command="ls /workspace")
|
||||
result = tool.run(command="ls workspace")
|
||||
```
|
||||
|
||||
### Custom sandbox parameters
|
||||
@@ -102,6 +107,41 @@ tool = DaytonaExecTool(
|
||||
)
|
||||
```
|
||||
|
||||
### Searching, moving, and modifying files
|
||||
|
||||
```python Code
|
||||
from crewai_tools import DaytonaFileTool
|
||||
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Find every TODO in the source tree (grep file contents recursively)
|
||||
file_tool.run(action="find", path="workspace/src", pattern="TODO:")
|
||||
|
||||
# Find all Python files (glob match on filenames)
|
||||
file_tool.run(action="search", path="workspace", pattern="*.py")
|
||||
|
||||
# Make a script executable
|
||||
file_tool.run(action="chmod", path="workspace/run.sh", mode="755")
|
||||
|
||||
# Rename or move a file
|
||||
file_tool.run(
|
||||
action="move",
|
||||
path="workspace/draft.md",
|
||||
destination="workspace/final.md",
|
||||
)
|
||||
|
||||
# Bulk find-and-replace across multiple files
|
||||
file_tool.run(
|
||||
action="replace",
|
||||
paths=["workspace/src/a.py", "workspace/src/b.py"],
|
||||
pattern="old_function",
|
||||
replacement="new_function",
|
||||
)
|
||||
|
||||
# Quick existence check before a destructive op
|
||||
file_tool.run(action="exists", path="workspace/cache.db")
|
||||
```
|
||||
|
||||
### Agent integration
|
||||
|
||||
```python Code
|
||||
@@ -121,7 +161,7 @@ coder = Agent(
|
||||
)
|
||||
|
||||
task = Task(
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
|
||||
description="Write a Python script that prints the first 10 Fibonacci numbers, save it to workspace/fib.py, and run it.",
|
||||
expected_output="The first 10 Fibonacci numbers printed to stdout.",
|
||||
agent=coder,
|
||||
)
|
||||
@@ -168,12 +208,22 @@ All three tools accept these parameters at initialization:
|
||||
|
||||
| Parameter | Type | Required | Description |
|
||||
|-----------|------|----------|-------------|
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
|
||||
| `path` | `str` | ✓ | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | | Content to write or append. Required for `append`. |
|
||||
| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`, `exists`, `move`, `find`, `search`, `chmod`, `replace`. |
|
||||
| `path` | `str \| None` | ✓ for all actions except `replace` | Absolute path inside the sandbox. |
|
||||
| `content` | `str \| None` | ✓ for `append` | Content to write or append. |
|
||||
| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
|
||||
| `recursive` | `bool` | | For `delete`: remove directories recursively. |
|
||||
| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
|
||||
| `mode` | `str \| None` | | For `mkdir`: octal permissions for the new directory (defaults to `"0755"`). For `chmod`: octal permissions to apply to the target. |
|
||||
| `destination` | `str \| None` | ✓ for `move` | Destination path for `move`. |
|
||||
| `pattern` | `str \| None` | ✓ for `find`, `search`, `replace` | For `find`: substring matched against file CONTENTS. For `search`: glob matched against file NAMES (e.g. `*.py`). For `replace`: text to replace inside files. |
|
||||
| `replacement` | `str \| None` | ✓ for `replace` | Replacement text for `pattern`. |
|
||||
| `paths` | `list[str] \| None` | ✓ for `replace` | List of file paths in which to replace text. |
|
||||
| `owner` | `str \| None` | | For `chmod`: new file owner. |
|
||||
| `group` | `str \| None` | | For `chmod`: new file group. |
|
||||
|
||||
<Note>
|
||||
For `chmod`, pass at least one of `mode`, `owner`, or `group` — any field left as `None` is left unchanged on the target.
|
||||
</Note>
|
||||
|
||||
<Tip>
|
||||
For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
|
||||
|
||||
26
lib/cli/README.md
Normal file
26
lib/cli/README.md
Normal file
@@ -0,0 +1,26 @@
|
||||
# crewai-cli
|
||||
|
||||
CLI for CrewAI — scaffold, run, deploy and manage AI agent crews without
|
||||
installing the full framework.
|
||||
|
||||
## Installation
|
||||
|
||||
```bash
|
||||
pip install crewai-cli
|
||||
```
|
||||
|
||||
This pulls in `crewai-core` (shared utilities) but not the `crewai` framework
|
||||
itself, so commands that don't need a crew loaded — `crewai version`,
|
||||
`crewai login`, `crewai org list`, `crewai config *`, `crewai traces *`,
|
||||
`crewai create`, `crewai template *` — work standalone.
|
||||
|
||||
Commands that load a user's crew or flow (`crewai run`, `crewai train`,
|
||||
`crewai test`, `crewai chat`, `crewai replay`, `crewai reset-memories`,
|
||||
`crewai deploy push`, `crewai tool publish`) require `crewai` to be installed
|
||||
in the project's environment. They print a clear error if it is missing.
|
||||
|
||||
To install both at once:
|
||||
|
||||
```bash
|
||||
pip install crewai[cli]
|
||||
```
|
||||
45
lib/cli/pyproject.toml
Normal file
45
lib/cli/pyproject.toml
Normal file
@@ -0,0 +1,45 @@
|
||||
[project]
|
||||
name = "crewai-cli"
|
||||
dynamic = ["version"]
|
||||
description = "CLI for CrewAI — scaffold, run, deploy and manage AI agent crews."
|
||||
readme = "README.md"
|
||||
authors = [
|
||||
{ name = "Joao Moura", email = "joao@crewai.com" }
|
||||
]
|
||||
requires-python = ">=3.10, <3.14"
|
||||
dependencies = [
|
||||
"crewai-core==1.14.5a5",
|
||||
"click~=8.1.7",
|
||||
"pydantic>=2.11.9,<2.13",
|
||||
"pydantic-settings~=2.10.1",
|
||||
"appdirs~=1.4.4",
|
||||
"cryptography>=42.0",
|
||||
"httpx~=0.28.1",
|
||||
"pyjwt>=2.9.0,<3",
|
||||
"rich>=13.7.1",
|
||||
"tomli~=2.0.2",
|
||||
"tomli-w~=1.1.0",
|
||||
"packaging>=23.0",
|
||||
"python-dotenv>=1.2.2,<2",
|
||||
"uv~=0.11.6",
|
||||
"textual>=7.5.0",
|
||||
"certifi",
|
||||
]
|
||||
|
||||
[project.urls]
|
||||
Homepage = "https://crewai.com"
|
||||
Documentation = "https://docs.crewai.com"
|
||||
Repository = "https://github.com/crewAIInc/crewAI"
|
||||
|
||||
[project.scripts]
|
||||
crewai = "crewai_cli.cli:crewai"
|
||||
|
||||
[build-system]
|
||||
requires = ["hatchling"]
|
||||
build-backend = "hatchling.build"
|
||||
|
||||
[tool.hatch.version]
|
||||
path = "src/crewai_cli/__init__.py"
|
||||
|
||||
[tool.hatch.build.targets.wheel]
|
||||
packages = ["src/crewai_cli"]
|
||||
1
lib/cli/src/crewai_cli/__init__.py
Normal file
1
lib/cli/src/crewai_cli/__init__.py
Normal file
@@ -0,0 +1 @@
|
||||
__version__ = "1.14.5a5"
|
||||
@@ -1,9 +1,9 @@
|
||||
from pathlib import Path
|
||||
|
||||
import click
|
||||
from crewai_core.printer import PRINTER
|
||||
|
||||
from crewai.cli.utils import copy_template
|
||||
from crewai.utilities.printer import PRINTER
|
||||
from crewai_cli.utils import copy_template
|
||||
|
||||
|
||||
def add_crew_to_flow(crew_name: str) -> None:
|
||||
8
lib/cli/src/crewai_cli/authentication/__init__.py
Normal file
8
lib/cli/src/crewai_cli/authentication/__init__.py
Normal file
@@ -0,0 +1,8 @@
|
||||
"""CLI authentication entry point."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_cli.authentication.main import AuthenticationCommand
|
||||
|
||||
|
||||
__all__ = ["AuthenticationCommand"]
|
||||
8
lib/cli/src/crewai_cli/authentication/constants.py
Normal file
8
lib/cli/src/crewai_cli/authentication/constants.py
Normal file
@@ -0,0 +1,8 @@
|
||||
"""Re-export of authentication constants from ``crewai_core.auth.constants``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.constants import ALGORITHMS as ALGORITHMS
|
||||
|
||||
|
||||
__all__ = ["ALGORITHMS"]
|
||||
60
lib/cli/src/crewai_cli/authentication/main.py
Normal file
60
lib/cli/src/crewai_cli/authentication/main.py
Normal file
@@ -0,0 +1,60 @@
|
||||
"""CLI-side authentication wiring.
|
||||
|
||||
Re-exports the OAuth2 primitives from ``crewai_core.auth`` and overrides the
|
||||
``_post_login`` hook to also log into the tool repository.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.oauth2 import (
|
||||
AuthenticationCommand as _BaseAuthenticationCommand,
|
||||
Oauth2Settings as Oauth2Settings,
|
||||
ProviderFactory as ProviderFactory,
|
||||
console,
|
||||
)
|
||||
from crewai_core.settings import Settings
|
||||
|
||||
|
||||
__all__ = ["AuthenticationCommand", "Oauth2Settings", "ProviderFactory"]
|
||||
|
||||
|
||||
class AuthenticationCommand(_BaseAuthenticationCommand):
|
||||
"""CLI-side login that also signs the user into the tool repository."""
|
||||
|
||||
def _post_login(self) -> None:
|
||||
self._login_to_tool_repository()
|
||||
|
||||
def _login_to_tool_repository(self) -> None:
|
||||
from crewai_cli.tools.main import ToolCommand
|
||||
|
||||
try:
|
||||
console.print(
|
||||
"Now logging you in to the Tool Repository... ",
|
||||
style="bold blue",
|
||||
end="",
|
||||
)
|
||||
|
||||
ToolCommand().login()
|
||||
|
||||
console.print(
|
||||
"Success!\n",
|
||||
style="bold green",
|
||||
)
|
||||
|
||||
settings = Settings()
|
||||
|
||||
console.print(
|
||||
f"You are now authenticated to the tool repository for organization [bold cyan]'{settings.org_name if settings.org_name else settings.org_uuid}'[/bold cyan]",
|
||||
style="green",
|
||||
)
|
||||
except (Exception, SystemExit):
|
||||
console.print(
|
||||
"\n[bold yellow]Warning:[/bold yellow] Authentication with the Tool Repository failed.",
|
||||
style="yellow",
|
||||
)
|
||||
console.print(
|
||||
"Other features will work normally, but you may experience limitations "
|
||||
"with downloading and publishing tools."
|
||||
"\nRun [bold]crewai login[/bold] to try logging in again.\n",
|
||||
style="yellow",
|
||||
)
|
||||
@@ -0,0 +1 @@
|
||||
"""OAuth2 authentication providers — re-exported from ``crewai_core.auth.providers``."""
|
||||
8
lib/cli/src/crewai_cli/authentication/providers/auth0.py
Normal file
8
lib/cli/src/crewai_cli/authentication/providers/auth0.py
Normal file
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``Auth0Provider`` from ``crewai_core.auth.providers.auth0``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.providers.auth0 import Auth0Provider as Auth0Provider
|
||||
|
||||
|
||||
__all__ = ["Auth0Provider"]
|
||||
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``BaseProvider`` from ``crewai_core.auth.providers.base_provider``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.providers.base_provider import BaseProvider as BaseProvider
|
||||
|
||||
|
||||
__all__ = ["BaseProvider"]
|
||||
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``EntraIdProvider`` from ``crewai_core.auth.providers.entra_id``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.providers.entra_id import EntraIdProvider as EntraIdProvider
|
||||
|
||||
|
||||
__all__ = ["EntraIdProvider"]
|
||||
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``KeycloakProvider`` from ``crewai_core.auth.providers.keycloak``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.providers.keycloak import KeycloakProvider as KeycloakProvider
|
||||
|
||||
|
||||
__all__ = ["KeycloakProvider"]
|
||||
8
lib/cli/src/crewai_cli/authentication/providers/okta.py
Normal file
8
lib/cli/src/crewai_cli/authentication/providers/okta.py
Normal file
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``OktaProvider`` from ``crewai_core.auth.providers.okta``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.providers.okta import OktaProvider as OktaProvider
|
||||
|
||||
|
||||
__all__ = ["OktaProvider"]
|
||||
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``WorkosProvider`` from ``crewai_core.auth.providers.workos``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.providers.workos import WorkosProvider as WorkosProvider
|
||||
|
||||
|
||||
__all__ = ["WorkosProvider"]
|
||||
11
lib/cli/src/crewai_cli/authentication/token.py
Normal file
11
lib/cli/src/crewai_cli/authentication/token.py
Normal file
@@ -0,0 +1,11 @@
|
||||
"""Re-exports of authentication token helpers from ``crewai_core.auth.token``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.token import (
|
||||
AuthError as AuthError,
|
||||
get_auth_token as get_auth_token,
|
||||
)
|
||||
|
||||
|
||||
__all__ = ["AuthError", "get_auth_token"]
|
||||
8
lib/cli/src/crewai_cli/authentication/utils.py
Normal file
8
lib/cli/src/crewai_cli/authentication/utils.py
Normal file
@@ -0,0 +1,8 @@
|
||||
"""Re-export of ``validate_jwt_token`` from ``crewai_core.auth.utils``."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.auth.utils import validate_jwt_token as validate_jwt_token
|
||||
|
||||
|
||||
__all__ = ["validate_jwt_token"]
|
||||
@@ -21,7 +21,7 @@ from textual.widgets import (
|
||||
Tree,
|
||||
)
|
||||
|
||||
from crewai.cli.checkpoint_cli import (
|
||||
from crewai_cli.checkpoint_cli import (
|
||||
_format_size,
|
||||
_is_sqlite,
|
||||
_list_json,
|
||||
@@ -1,50 +1,66 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from importlib.metadata import version as get_version
|
||||
import os
|
||||
import subprocess
|
||||
from typing import Any
|
||||
|
||||
import click
|
||||
from crewai_core.token_manager import TokenManager
|
||||
|
||||
from crewai.cli.add_crew_to_flow import add_crew_to_flow
|
||||
from crewai.cli.authentication.main import AuthenticationCommand
|
||||
from crewai.cli.config import Settings
|
||||
from crewai.cli.create_crew import create_crew
|
||||
from crewai.cli.create_flow import create_flow
|
||||
from crewai.cli.crew_chat import run_chat
|
||||
from crewai.cli.deploy.main import DeployCommand
|
||||
from crewai.cli.enterprise.main import EnterpriseConfigureCommand
|
||||
from crewai.cli.evaluate_crew import evaluate_crew
|
||||
from crewai.cli.install_crew import install_crew
|
||||
from crewai.cli.kickoff_flow import kickoff_flow
|
||||
from crewai.cli.organization.main import OrganizationCommand
|
||||
from crewai.cli.plot_flow import plot_flow
|
||||
from crewai.cli.remote_template.main import TemplateCommand
|
||||
from crewai.cli.replay_from_task import replay_task_command
|
||||
from crewai.cli.reset_memories_command import reset_memories_command
|
||||
from crewai.cli.run_crew import run_crew
|
||||
from crewai.cli.settings.main import SettingsCommand
|
||||
from crewai.cli.shared.token_manager import TokenManager
|
||||
from crewai.cli.tools.main import ToolCommand
|
||||
from crewai.cli.train_crew import train_crew
|
||||
from crewai.cli.triggers.main import TriggersCommand
|
||||
from crewai.cli.update_crew import update_crew
|
||||
from crewai.cli.utils import build_env_with_all_tool_credentials, read_toml
|
||||
from crewai.memory.storage.kickoff_task_outputs_storage import (
|
||||
KickoffTaskOutputsSQLiteStorage,
|
||||
from crewai_cli.add_crew_to_flow import add_crew_to_flow
|
||||
from crewai_cli.authentication.main import AuthenticationCommand
|
||||
from crewai_cli.config import Settings
|
||||
from crewai_cli.create_crew import create_crew
|
||||
from crewai_cli.create_flow import create_flow
|
||||
from crewai_cli.crew_chat import run_chat
|
||||
from crewai_cli.deploy.main import DeployCommand
|
||||
from crewai_cli.enterprise.main import EnterpriseConfigureCommand
|
||||
from crewai_cli.evaluate_crew import evaluate_crew
|
||||
from crewai_cli.install_crew import install_crew
|
||||
from crewai_cli.kickoff_flow import kickoff_flow
|
||||
from crewai_cli.organization.main import OrganizationCommand
|
||||
from crewai_cli.plot_flow import plot_flow
|
||||
from crewai_cli.remote_template.main import TemplateCommand
|
||||
from crewai_cli.replay_from_task import replay_task_command
|
||||
from crewai_cli.reset_memories_command import reset_memories_command
|
||||
from crewai_cli.run_crew import run_crew
|
||||
from crewai_cli.settings.main import SettingsCommand
|
||||
from crewai_cli.task_outputs import load_task_outputs
|
||||
from crewai_cli.tools.main import ToolCommand
|
||||
from crewai_cli.train_crew import train_crew
|
||||
from crewai_cli.triggers.main import TriggersCommand
|
||||
from crewai_cli.update_crew import update_crew
|
||||
from crewai_cli.user_data import (
|
||||
_load_user_data,
|
||||
is_tracing_enabled,
|
||||
update_user_data,
|
||||
)
|
||||
from crewai_cli.utils import build_env_with_all_tool_credentials, read_toml
|
||||
|
||||
|
||||
def _get_cli_version() -> str:
|
||||
"""Return the best available version string for the CLI."""
|
||||
# Prefer crewai version if installed (keeps existing UX)
|
||||
try:
|
||||
return get_version("crewai")
|
||||
except Exception: # noqa: S110
|
||||
pass
|
||||
try:
|
||||
return get_version("crewai-cli")
|
||||
except Exception:
|
||||
return "unknown"
|
||||
|
||||
|
||||
@click.group()
|
||||
@click.version_option(get_version("crewai"))
|
||||
@click.version_option(_get_cli_version())
|
||||
def crewai() -> None:
|
||||
"""Top-level command group for crewai."""
|
||||
|
||||
|
||||
@crewai.command(
|
||||
name="uv",
|
||||
context_settings=dict(
|
||||
ignore_unknown_options=True,
|
||||
),
|
||||
context_settings={"ignore_unknown_options": True},
|
||||
)
|
||||
@click.argument("uv_args", nargs=-1, type=click.UNPROCESSED)
|
||||
def uv(uv_args: tuple[str, ...]) -> None:
|
||||
@@ -105,7 +121,7 @@ def version(tools: bool) -> None:
|
||||
|
||||
if tools:
|
||||
try:
|
||||
tools_version = get_version("crewai")
|
||||
tools_version = get_version("crewai-tools")
|
||||
click.echo(f"crewai tools version: {tools_version}")
|
||||
except Exception:
|
||||
click.echo("crewai tools not installed")
|
||||
@@ -168,12 +184,9 @@ def replay(task_id: str, trained_agents_file: str | None) -> None:
|
||||
|
||||
@crewai.command()
|
||||
def log_tasks_outputs() -> None:
|
||||
"""
|
||||
Retrieve your latest crew.kickoff() task outputs.
|
||||
"""
|
||||
"""Retrieve your latest crew.kickoff() task outputs."""
|
||||
try:
|
||||
storage = KickoffTaskOutputsSQLiteStorage()
|
||||
tasks = storage.load()
|
||||
tasks = load_task_outputs()
|
||||
|
||||
if not tasks:
|
||||
click.echo(
|
||||
@@ -231,11 +244,8 @@ def reset_memories(
|
||||
agent_knowledge: bool,
|
||||
all: bool,
|
||||
) -> None:
|
||||
"""
|
||||
Reset the crew memories (memory, knowledge, agent_knowledge, kickoff_outputs). This will delete all the data saved.
|
||||
"""
|
||||
"""Reset the crew memories (memory, knowledge, agent_knowledge, kickoff_outputs). This will delete all the data saved."""
|
||||
try:
|
||||
# Treat legacy flags as --memory with a deprecation warning
|
||||
if long or short or entities:
|
||||
legacy_used = [
|
||||
f
|
||||
@@ -302,7 +312,7 @@ def memory(
|
||||
) -> None:
|
||||
"""Open the Memory TUI to browse scopes and recall memories."""
|
||||
try:
|
||||
from crewai.cli.memory_tui import MemoryTUI
|
||||
from crewai_cli.memory_tui import MemoryTUI
|
||||
except ImportError as exc:
|
||||
click.echo(
|
||||
"Textual is required for the memory TUI but could not be imported. "
|
||||
@@ -365,10 +375,10 @@ def test(n_iterations: int, model: str, trained_agents_file: str | None) -> None
|
||||
|
||||
|
||||
@crewai.command(
|
||||
context_settings=dict(
|
||||
ignore_unknown_options=True,
|
||||
allow_extra_args=True,
|
||||
)
|
||||
context_settings={
|
||||
"ignore_unknown_options": True,
|
||||
"allow_extra_args": True,
|
||||
}
|
||||
)
|
||||
@click.pass_context
|
||||
def install(context: click.Context) -> None:
|
||||
@@ -471,7 +481,7 @@ def deploy_validate() -> None:
|
||||
`crewai deploy push` run automatically, without contacting the platform.
|
||||
Exits non-zero if any blocking issues are found.
|
||||
"""
|
||||
from crewai.cli.deploy.validate import run_validate_command
|
||||
from crewai_cli.deploy.validate import run_validate_command
|
||||
|
||||
run_validate_command()
|
||||
|
||||
@@ -612,14 +622,12 @@ def triggers_run(trigger_path: str) -> None:
|
||||
|
||||
@crewai.command()
|
||||
def chat() -> None:
|
||||
"""
|
||||
Start a conversation with the Crew, collecting user-supplied inputs,
|
||||
"""Start a conversation with the Crew, collecting user-supplied inputs,
|
||||
and using the Chat LLM to generate responses.
|
||||
"""
|
||||
click.secho(
|
||||
"\nStarting a conversation with the Crew\nType 'exit' or Ctrl+C to quit.\n",
|
||||
)
|
||||
|
||||
run_chat()
|
||||
|
||||
|
||||
@@ -784,16 +792,14 @@ def traces_enable() -> None:
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
|
||||
from crewai.events.listeners.tracing.utils import update_user_data
|
||||
|
||||
console = Console()
|
||||
|
||||
update_user_data({"trace_consent": True, "first_execution_done": True})
|
||||
|
||||
panel = Panel(
|
||||
"✅ Trace collection has been enabled!\n\n"
|
||||
"✅ Trace collection enabled.\n\n"
|
||||
"Your crew/flow executions will now send traces to CrewAI+.\n"
|
||||
"Use 'crewai traces disable' to turn off trace collection.",
|
||||
"Use 'crewai traces disable' to opt out.",
|
||||
title="Traces Enabled",
|
||||
border_style="green",
|
||||
padding=(1, 2),
|
||||
@@ -807,16 +813,16 @@ def traces_disable() -> None:
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
|
||||
from crewai.events.listeners.tracing.utils import update_user_data
|
||||
|
||||
console = Console()
|
||||
|
||||
update_user_data({"trace_consent": False, "first_execution_done": True})
|
||||
|
||||
panel = Panel(
|
||||
"❌ Trace collection has been disabled!\n\n"
|
||||
"Your crew/flow executions will no longer send traces.\n"
|
||||
"Use 'crewai traces enable' to turn trace collection back on.",
|
||||
"❌ Trace collection disabled.\n\n"
|
||||
"Your crew/flow executions will no longer send traces "
|
||||
"(unless [bold]CREWAI_TRACING_ENABLED=true[/bold] is set in the environment, "
|
||||
"which overrides the opt-out).\n"
|
||||
"Use 'crewai traces enable' to opt back in.",
|
||||
title="Traces Disabled",
|
||||
border_style="red",
|
||||
padding=(1, 2),
|
||||
@@ -832,11 +838,6 @@ def traces_status() -> None:
|
||||
from rich.panel import Panel
|
||||
from rich.table import Table
|
||||
|
||||
from crewai.events.listeners.tracing.utils import (
|
||||
_load_user_data,
|
||||
is_tracing_enabled,
|
||||
)
|
||||
|
||||
console = Console()
|
||||
user_data = _load_user_data()
|
||||
|
||||
@@ -883,13 +884,13 @@ def traces_status() -> None:
|
||||
@click.pass_context
|
||||
def checkpoint(ctx: click.Context, location: str) -> None:
|
||||
"""Browse and inspect checkpoints. Launches a TUI when called without a subcommand."""
|
||||
from crewai.cli.checkpoint_cli import _detect_location
|
||||
from crewai_cli.checkpoint_cli import _detect_location
|
||||
|
||||
location = _detect_location(location)
|
||||
ctx.ensure_object(dict)
|
||||
ctx.obj["location"] = location
|
||||
if ctx.invoked_subcommand is None:
|
||||
from crewai.cli.checkpoint_tui import run_checkpoint_tui
|
||||
from crewai_cli.checkpoint_tui import run_checkpoint_tui
|
||||
|
||||
run_checkpoint_tui(location)
|
||||
|
||||
@@ -898,7 +899,7 @@ def checkpoint(ctx: click.Context, location: str) -> None:
|
||||
@click.argument("location", default="./.checkpoints")
|
||||
def checkpoint_list(location: str) -> None:
|
||||
"""List checkpoints in a directory."""
|
||||
from crewai.cli.checkpoint_cli import _detect_location, list_checkpoints
|
||||
from crewai_cli.checkpoint_cli import _detect_location, list_checkpoints
|
||||
|
||||
list_checkpoints(_detect_location(location))
|
||||
|
||||
@@ -907,7 +908,7 @@ def checkpoint_list(location: str) -> None:
|
||||
@click.argument("path", default="./.checkpoints")
|
||||
def checkpoint_info(path: str) -> None:
|
||||
"""Show details of a checkpoint. Pass a file or directory for latest."""
|
||||
from crewai.cli.checkpoint_cli import _detect_location, info_checkpoint
|
||||
from crewai_cli.checkpoint_cli import _detect_location, info_checkpoint
|
||||
|
||||
info_checkpoint(_detect_location(path))
|
||||
|
||||
@@ -917,7 +918,7 @@ def checkpoint_info(path: str) -> None:
|
||||
@click.pass_context
|
||||
def checkpoint_resume(ctx: click.Context, checkpoint_id: str | None) -> None:
|
||||
"""Resume from a checkpoint. Defaults to the most recent."""
|
||||
from crewai.cli.checkpoint_cli import resume_checkpoint
|
||||
from crewai_cli.checkpoint_cli import resume_checkpoint
|
||||
|
||||
resume_checkpoint(ctx.obj["location"], checkpoint_id)
|
||||
|
||||
@@ -928,7 +929,7 @@ def checkpoint_resume(ctx: click.Context, checkpoint_id: str | None) -> None:
|
||||
@click.pass_context
|
||||
def checkpoint_diff(ctx: click.Context, id1: str, id2: str) -> None:
|
||||
"""Compare two checkpoints side-by-side."""
|
||||
from crewai.cli.checkpoint_cli import diff_checkpoints
|
||||
from crewai_cli.checkpoint_cli import diff_checkpoints
|
||||
|
||||
diff_checkpoints(ctx.obj["location"], id1, id2)
|
||||
|
||||
@@ -950,7 +951,7 @@ def checkpoint_prune(
|
||||
ctx: click.Context, keep: int | None, older_than: str | None, dry_run: bool
|
||||
) -> None:
|
||||
"""Remove old checkpoints."""
|
||||
from crewai.cli.checkpoint_cli import prune_checkpoints
|
||||
from crewai_cli.checkpoint_cli import prune_checkpoints
|
||||
|
||||
prune_checkpoints(ctx.obj["location"], keep, older_than, dry_run)
|
||||
|
||||
@@ -1,11 +1,13 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
from crewai_core.telemetry import Telemetry
|
||||
import httpx
|
||||
from rich.console import Console
|
||||
|
||||
from crewai.cli.authentication.token import get_auth_token
|
||||
from crewai.cli.plus_api import PlusAPI
|
||||
from crewai.telemetry.telemetry import Telemetry
|
||||
from crewai_cli.authentication.token import get_auth_token
|
||||
from crewai_cli.plus_api import PlusAPI
|
||||
|
||||
|
||||
console = Console()
|
||||
@@ -32,11 +34,10 @@ class PlusAPIMixin:
|
||||
raise SystemExit from None
|
||||
|
||||
def _validate_response(self, response: httpx.Response) -> None:
|
||||
"""
|
||||
Handle and display error messages from API responses.
|
||||
"""Handle and display error messages from API responses.
|
||||
|
||||
Args:
|
||||
response (httpx.Response): The response from the Plus API
|
||||
response: The response from the Plus API.
|
||||
"""
|
||||
try:
|
||||
json_response = response.json()
|
||||
30
lib/cli/src/crewai_cli/config.py
Normal file
30
lib/cli/src/crewai_cli/config.py
Normal file
@@ -0,0 +1,30 @@
|
||||
"""Re-exports of shared settings from ``crewai_core.settings``.
|
||||
|
||||
Kept as a stable import path for the CLI; new code should import from
|
||||
``crewai_core.settings`` directly.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.settings import (
|
||||
CLI_SETTINGS_KEYS as CLI_SETTINGS_KEYS,
|
||||
DEFAULT_CLI_SETTINGS as DEFAULT_CLI_SETTINGS,
|
||||
DEFAULT_CONFIG_PATH as DEFAULT_CONFIG_PATH,
|
||||
HIDDEN_SETTINGS_KEYS as HIDDEN_SETTINGS_KEYS,
|
||||
READONLY_SETTINGS_KEYS as READONLY_SETTINGS_KEYS,
|
||||
USER_SETTINGS_KEYS as USER_SETTINGS_KEYS,
|
||||
Settings as Settings,
|
||||
get_writable_config_path as get_writable_config_path,
|
||||
)
|
||||
|
||||
|
||||
__all__ = [
|
||||
"CLI_SETTINGS_KEYS",
|
||||
"DEFAULT_CLI_SETTINGS",
|
||||
"DEFAULT_CONFIG_PATH",
|
||||
"HIDDEN_SETTINGS_KEYS",
|
||||
"READONLY_SETTINGS_KEYS",
|
||||
"USER_SETTINGS_KEYS",
|
||||
"Settings",
|
||||
"get_writable_config_path",
|
||||
]
|
||||
@@ -132,19 +132,44 @@ PROVIDERS: list[str] = [
|
||||
|
||||
MODELS: dict[str, list[str]] = {
|
||||
"openai": [
|
||||
"gpt-4",
|
||||
"gpt-5.5",
|
||||
"gpt-5.5-pro",
|
||||
"gpt-5.4",
|
||||
"gpt-5.4-pro",
|
||||
"gpt-5.4-mini",
|
||||
"gpt-5.4-nano",
|
||||
"gpt-5.2",
|
||||
"gpt-5.2-pro",
|
||||
"gpt-5.1",
|
||||
"gpt-5",
|
||||
"gpt-5-pro",
|
||||
"gpt-5-mini",
|
||||
"gpt-5-nano",
|
||||
"gpt-4.1",
|
||||
"gpt-4.1-mini-2025-04-14",
|
||||
"gpt-4.1-nano-2025-04-14",
|
||||
"gpt-4.1-mini",
|
||||
"gpt-4.1-nano",
|
||||
"gpt-4o",
|
||||
"gpt-4o-mini",
|
||||
"o4-mini",
|
||||
"o3",
|
||||
"o3-mini",
|
||||
"o1",
|
||||
"o1-mini",
|
||||
"o1-preview",
|
||||
"gpt-4",
|
||||
"gpt-4.1-mini-2025-04-14",
|
||||
"gpt-4.1-nano-2025-04-14",
|
||||
],
|
||||
"anthropic": [
|
||||
"claude-opus-4-6",
|
||||
"claude-sonnet-4-6",
|
||||
"claude-haiku-4-5-20251001",
|
||||
"claude-3-7-sonnet-20250219",
|
||||
"claude-3-5-sonnet-20241022",
|
||||
"claude-3-5-haiku-20241022",
|
||||
"claude-3-5-sonnet-20240620",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-opus-20240229",
|
||||
"claude-3-sonnet-20240229",
|
||||
"claude-3-haiku-20240307",
|
||||
],
|
||||
"gemini": [
|
||||
@@ -5,13 +5,13 @@ import sys
|
||||
import click
|
||||
import tomli
|
||||
|
||||
from crewai.cli.constants import ENV_VARS, MODELS
|
||||
from crewai.cli.provider import (
|
||||
from crewai_cli.constants import ENV_VARS, MODELS
|
||||
from crewai_cli.provider import (
|
||||
get_provider_data,
|
||||
select_model,
|
||||
select_provider,
|
||||
)
|
||||
from crewai.cli.utils import copy_template, load_env_vars, write_env_file
|
||||
from crewai_cli.utils import copy_template, load_env_vars, write_env_file
|
||||
|
||||
|
||||
def get_reserved_script_names() -> set[str]:
|
||||
@@ -2,8 +2,7 @@ from pathlib import Path
|
||||
import shutil
|
||||
|
||||
import click
|
||||
|
||||
from crewai.telemetry import Telemetry
|
||||
from crewai_core.telemetry import Telemetry
|
||||
|
||||
|
||||
def create_flow(name: str) -> None:
|
||||
@@ -18,7 +17,6 @@ def create_flow(name: str) -> None:
|
||||
click.secho(f"Error: Folder {folder_name} already exists.", fg="red")
|
||||
return
|
||||
|
||||
# Initialize telemetry
|
||||
telemetry = Telemetry()
|
||||
telemetry.flow_creation_span(class_name)
|
||||
|
||||
23
lib/cli/src/crewai_cli/crew_chat.py
Normal file
23
lib/cli/src/crewai_cli/crew_chat.py
Normal file
@@ -0,0 +1,23 @@
|
||||
"""Wrapper for the crew chat command.
|
||||
|
||||
Delegates to ``crewai.utilities.crew_chat.run_chat`` when the full crewai
|
||||
package is installed, otherwise prints a helpful error message.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import click
|
||||
|
||||
|
||||
def run_chat() -> None:
|
||||
try:
|
||||
from crewai.utilities.crew_chat import run_chat as _run_chat
|
||||
except ImportError:
|
||||
click.secho(
|
||||
"The 'chat' command requires the full crewai package.\n"
|
||||
"Install it with: pip install crewai",
|
||||
fg="red",
|
||||
)
|
||||
raise SystemExit(1) from None
|
||||
|
||||
_run_chat()
|
||||
@@ -2,10 +2,10 @@ from typing import Any
|
||||
|
||||
from rich.console import Console
|
||||
|
||||
from crewai.cli import git
|
||||
from crewai.cli.command import BaseCommand, PlusAPIMixin
|
||||
from crewai.cli.deploy.validate import validate_project
|
||||
from crewai.cli.utils import fetch_and_json_env_file, get_project_name
|
||||
from crewai_cli import git
|
||||
from crewai_cli.command import BaseCommand, PlusAPIMixin
|
||||
from crewai_cli.deploy.validate import validate_project
|
||||
from crewai_cli.utils import fetch_and_json_env_file, get_project_name
|
||||
|
||||
|
||||
console = Console()
|
||||
@@ -40,7 +40,7 @@ from typing import Any
|
||||
|
||||
from rich.console import Console
|
||||
|
||||
from crewai.cli.utils import parse_toml
|
||||
from crewai_cli.utils import parse_toml
|
||||
|
||||
|
||||
console = Console()
|
||||
@@ -438,7 +438,7 @@ class DeployValidator:
|
||||
"import json, sys, traceback, os\n"
|
||||
"os.chdir(sys.argv[1])\n"
|
||||
"try:\n"
|
||||
" from crewai.cli.utils import get_crews, get_flows\n"
|
||||
" from crewai.utilities.project_utils import get_crews, get_flows\n"
|
||||
" is_flow = sys.argv[2] == 'flow'\n"
|
||||
" if is_flow:\n"
|
||||
" instances = get_flows()\n"
|
||||
@@ -4,10 +4,10 @@ from typing import Any, cast
|
||||
import httpx
|
||||
from rich.console import Console
|
||||
|
||||
from crewai.cli.authentication.main import Oauth2Settings, ProviderFactory
|
||||
from crewai.cli.command import BaseCommand
|
||||
from crewai.cli.settings.main import SettingsCommand
|
||||
from crewai.utilities.version import get_crewai_version
|
||||
from crewai_cli.authentication.main import Oauth2Settings, ProviderFactory
|
||||
from crewai_cli.command import BaseCommand
|
||||
from crewai_cli.settings.main import SettingsCommand
|
||||
from crewai_cli.version import get_crewai_version
|
||||
|
||||
|
||||
console = Console()
|
||||
@@ -1,9 +1,9 @@
|
||||
import subprocess
|
||||
|
||||
import click
|
||||
from crewai_core.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
|
||||
|
||||
from crewai.cli.utils import build_env_with_all_tool_credentials
|
||||
from crewai.utilities.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
|
||||
from crewai_cli.utils import build_env_with_all_tool_credentials
|
||||
|
||||
|
||||
def evaluate_crew(
|
||||
@@ -2,7 +2,7 @@ import subprocess
|
||||
|
||||
import click
|
||||
|
||||
from crewai.cli.utils import build_env_with_all_tool_credentials
|
||||
from crewai_cli.utils import build_env_with_all_tool_credentials
|
||||
|
||||
|
||||
# Be mindful about changing this.
|
||||
@@ -2,8 +2,8 @@ from httpx import HTTPStatusError
|
||||
from rich.console import Console
|
||||
from rich.table import Table
|
||||
|
||||
from crewai.cli.command import BaseCommand, PlusAPIMixin
|
||||
from crewai.cli.config import Settings
|
||||
from crewai_cli.command import BaseCommand, PlusAPIMixin
|
||||
from crewai_cli.config import Settings
|
||||
|
||||
|
||||
console = Console()
|
||||
12
lib/cli/src/crewai_cli/plus_api.py
Normal file
12
lib/cli/src/crewai_cli/plus_api.py
Normal file
@@ -0,0 +1,12 @@
|
||||
"""Re-export of ``crewai_core.plus_api.PlusAPI``.
|
||||
|
||||
Kept as a stable import path for the CLI; new code should import from
|
||||
``crewai_core.plus_api`` directly.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.plus_api import PlusAPI as PlusAPI
|
||||
|
||||
|
||||
__all__ = ["PlusAPI"]
|
||||
@@ -10,7 +10,7 @@ import certifi
|
||||
import click
|
||||
import httpx
|
||||
|
||||
from crewai.cli.constants import JSON_URL, MODELS, PROVIDERS
|
||||
from crewai_cli.constants import JSON_URL, MODELS, PROVIDERS
|
||||
|
||||
|
||||
def select_choice(prompt_message: str, choices: Sequence[str]) -> str | None:
|
||||
@@ -11,7 +11,7 @@ from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
from rich.text import Text
|
||||
|
||||
from crewai.cli.command import BaseCommand
|
||||
from crewai_cli.command import BaseCommand
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@@ -1,9 +1,9 @@
|
||||
import subprocess
|
||||
|
||||
import click
|
||||
from crewai_core.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
|
||||
|
||||
from crewai.cli.utils import build_env_with_all_tool_credentials
|
||||
from crewai.utilities.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
|
||||
from crewai_cli.utils import build_env_with_all_tool_credentials
|
||||
|
||||
|
||||
def replay_task_command(task_id: str, trained_agents_file: str | None = None) -> None:
|
||||
31
lib/cli/src/crewai_cli/reset_memories_command.py
Normal file
31
lib/cli/src/crewai_cli/reset_memories_command.py
Normal file
@@ -0,0 +1,31 @@
|
||||
"""Wrapper for the reset-memories command.
|
||||
|
||||
Delegates to ``crewai.utilities.reset_memories`` when the full crewai
|
||||
package is installed, otherwise prints a helpful error message.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import click
|
||||
|
||||
|
||||
def reset_memories_command(
|
||||
memory: bool,
|
||||
knowledge: bool,
|
||||
agent_knowledge: bool,
|
||||
kickoff_outputs: bool,
|
||||
all: bool,
|
||||
) -> None:
|
||||
try:
|
||||
from crewai.utilities.reset_memories import (
|
||||
reset_memories_command as _reset,
|
||||
)
|
||||
except ImportError:
|
||||
click.secho(
|
||||
"The 'reset-memories' command requires the full crewai package.\n"
|
||||
"Install it with: pip install crewai",
|
||||
fg="red",
|
||||
)
|
||||
raise SystemExit(1) from None
|
||||
|
||||
_reset(memory, knowledge, agent_knowledge, kickoff_outputs, all)
|
||||
@@ -2,11 +2,11 @@ from enum import Enum
|
||||
import subprocess
|
||||
|
||||
import click
|
||||
from crewai_core.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
|
||||
from packaging import version
|
||||
|
||||
from crewai.cli.utils import build_env_with_all_tool_credentials, read_toml
|
||||
from crewai.utilities.constants import CREWAI_TRAINED_AGENTS_FILE_ENV
|
||||
from crewai.utilities.version import get_crewai_version
|
||||
from crewai_cli.utils import build_env_with_all_tool_credentials, read_toml
|
||||
from crewai_cli.version import get_crewai_version
|
||||
|
||||
|
||||
class CrewType(Enum):
|
||||
@@ -5,9 +5,9 @@ from typing import Any
|
||||
from rich.console import Console
|
||||
from rich.table import Table
|
||||
|
||||
from crewai.cli.command import BaseCommand
|
||||
from crewai.cli.config import HIDDEN_SETTINGS_KEYS, READONLY_SETTINGS_KEYS, Settings
|
||||
from crewai.events.listeners.tracing.utils import _load_user_data
|
||||
from crewai_cli.command import BaseCommand
|
||||
from crewai_cli.config import HIDDEN_SETTINGS_KEYS, READONLY_SETTINGS_KEYS, Settings
|
||||
from crewai_cli.user_data import _load_user_data
|
||||
|
||||
|
||||
console = Console()
|
||||
@@ -91,7 +91,7 @@ class SettingsCommand(BaseCommand):
|
||||
style="bold red",
|
||||
)
|
||||
console.print("Available keys:", style="yellow")
|
||||
for field_name in Settings.model_fields.keys():
|
||||
for field_name in Settings.model_fields:
|
||||
if field_name not in readonly_settings:
|
||||
console.print(f" - {field_name}", style="yellow")
|
||||
raise SystemExit(1)
|
||||
12
lib/cli/src/crewai_cli/shared/token_manager.py
Normal file
12
lib/cli/src/crewai_cli/shared/token_manager.py
Normal file
@@ -0,0 +1,12 @@
|
||||
"""Re-export of ``crewai_core.token_manager.TokenManager``.
|
||||
|
||||
Kept as a stable import path for the CLI; new code should import from
|
||||
``crewai_core.token_manager`` directly.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from crewai_core.token_manager import TokenManager as TokenManager
|
||||
|
||||
|
||||
__all__ = ["TokenManager"]
|
||||
67
lib/cli/src/crewai_cli/task_outputs.py
Normal file
67
lib/cli/src/crewai_cli/task_outputs.py
Normal file
@@ -0,0 +1,67 @@
|
||||
"""Lightweight SQLite reader for kickoff task outputs.
|
||||
|
||||
Only used by the ``crewai log-tasks-outputs`` CLI command. Depends solely on
|
||||
the standard library + *appdirs* so crewai-cli can read stored outputs without
|
||||
importing the full crewai framework.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
from pathlib import Path
|
||||
import sqlite3
|
||||
from typing import Any
|
||||
|
||||
from crewai_cli.user_data import _db_storage_path
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def load_task_outputs(db_path: str | None = None) -> list[dict[str, Any]]:
|
||||
"""Return all rows from the kickoff task outputs database."""
|
||||
if db_path is None:
|
||||
db_path = str(Path(_db_storage_path()) / "latest_kickoff_task_outputs.db")
|
||||
|
||||
if not Path(db_path).exists():
|
||||
return []
|
||||
|
||||
try:
|
||||
with sqlite3.connect(db_path) as conn:
|
||||
conn.row_factory = sqlite3.Row
|
||||
cursor = conn.cursor()
|
||||
cursor.execute("""
|
||||
SELECT task_id, expected_output, output, task_index,
|
||||
inputs, was_replayed, timestamp
|
||||
FROM latest_kickoff_task_outputs
|
||||
ORDER BY task_index
|
||||
""")
|
||||
rows = cursor.fetchall()
|
||||
except sqlite3.Error as e:
|
||||
logger.error("Failed to load task outputs: %s", e)
|
||||
return []
|
||||
|
||||
return [
|
||||
{
|
||||
"task_id": row["task_id"],
|
||||
"expected_output": row["expected_output"],
|
||||
"output": _safe_json_loads(row["output"]),
|
||||
"task_index": row["task_index"],
|
||||
"inputs": _safe_json_loads(row["inputs"]),
|
||||
"was_replayed": row["was_replayed"],
|
||||
"timestamp": row["timestamp"],
|
||||
}
|
||||
for row in rows
|
||||
]
|
||||
|
||||
|
||||
def _safe_json_loads(value: str | None) -> Any:
|
||||
"""Decode a JSON column tolerantly: NULL/blank/corrupt → None."""
|
||||
if not value:
|
||||
return None
|
||||
try:
|
||||
return json.loads(value)
|
||||
except (json.JSONDecodeError, TypeError) as e:
|
||||
logger.warning("Failed to decode JSON column: %s", e)
|
||||
return None
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user