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27
README.md
27
README.md
@@ -83,6 +83,7 @@ intelligent automations.
|
||||
|
||||
## Table of contents
|
||||
|
||||
- [Build with AI](#build-with-ai)
|
||||
- [Why CrewAI?](#why-crewai)
|
||||
- [Getting Started](#getting-started)
|
||||
- [Key Features](#key-features)
|
||||
@@ -101,6 +102,32 @@ intelligent automations.
|
||||
- [Telemetry](#telemetry)
|
||||
- [License](#license)
|
||||
|
||||
## Build with AI
|
||||
|
||||
Using an AI coding agent? Teach it CrewAI best practices in one command:
|
||||
|
||||
**Claude Code:**
|
||||
```shell
|
||||
/plugin marketplace add crewAIInc/skills
|
||||
/plugin install crewai-skills@crewai-plugins
|
||||
/reload-plugins
|
||||
```
|
||||
Four skills that activate automatically when you ask relevant CrewAI questions:
|
||||
|
||||
| Skill | When it runs |
|
||||
|-------|--------------|
|
||||
| `getting-started` | Scaffolding new projects, choosing between `LLM.call()` / `Agent` / `Crew` / `Flow`, wiring `crew.py` / `main.py` |
|
||||
| `design-agent` | Configuring agents — role, goal, backstory, tools, LLMs, memory, guardrails |
|
||||
| `design-task` | Writing task descriptions, dependencies, structured output (`output_pydantic`, `output_json`), human review |
|
||||
| `ask-docs` | Querying the live [CrewAI docs MCP server](https://docs.crewai.com/mcp) for up-to-date API details |
|
||||
|
||||
**Cursor, Codex, Windsurf, and others ([skills.sh](https://skills.sh/crewaiinc/skills)):**
|
||||
```shell
|
||||
npx skills add crewaiinc/skills
|
||||
```
|
||||
|
||||
This installs the official [CrewAI Skills](https://github.com/crewAIInc/skills) — structured instructions that teach coding agents how to scaffold Flows, configure Crews, design agents and tasks, and follow CrewAI patterns.
|
||||
|
||||
## Why CrewAI?
|
||||
|
||||
<div align="center" style="margin-bottom: 30px;">
|
||||
|
||||
@@ -4,6 +4,61 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="22 أبريل 2026">
|
||||
## v1.14.3a2
|
||||
|
||||
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
|
||||
|
||||
## ما الذي تغير
|
||||
|
||||
### الميزات
|
||||
- إضافة دعم لـ bedrock V4
|
||||
- إضافة أدوات Daytona sandbox لوظائف محسّنة
|
||||
- إضافة صفحة "البناء باستخدام الذكاء الاصطناعي" — مستندات أصلية للذكاء الاصطناعي لوكلاء البرمجة
|
||||
- إضافة "البناء باستخدام الذكاء الاصطناعي" إلى التنقل في صفحة "البدء" وملفات الصفحات لجميع اللغات (en, ko, pt-BR, ar)
|
||||
|
||||
### إصلاحات الأخطاء
|
||||
- إصلاح انتشار أسماء @CrewBase الضمنية إلى أحداث الطاقم
|
||||
- حل مشكلة تكرار تهيئة الدفعات في دمج بيانات التنفيذ الوصفية
|
||||
- إصلاح تسلسل حقول مرجع فئة Task لعمليات التحقق من النقاط
|
||||
- التعامل مع نتيجة BaseModel في حلقة إعادة المحاولة للحدود
|
||||
- تحديث python-dotenv إلى الإصدار >=1.2.2 للامتثال الأمني
|
||||
|
||||
### الوثائق
|
||||
- تحديث سجل التغييرات والإصدار لـ v1.14.3a1
|
||||
- تحديث الأوصاف وتطبيق الترجمات الفعلية
|
||||
|
||||
## المساهمون
|
||||
|
||||
@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="21 أبريل 2026">
|
||||
## v1.14.3a1
|
||||
|
||||
[عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
|
||||
|
||||
## ما الذي تغير
|
||||
|
||||
### الميزات
|
||||
- إضافة دعم نقاط التحقق والفروع لوكلاء مستقلين
|
||||
|
||||
### إصلاحات الأخطاء
|
||||
- الحفاظ على thought_signature في استدعاءات أداة البث Gemini
|
||||
- إصدار task_started عند استئناف الفرع وإعادة تصميم واجهة المستخدم النصية لنقاط التحقق
|
||||
- تصحيح ترتيب التشغيل الجاف ومعالجة الفرع القديم الذي تم التحقق منه في إصدار أدوات التطوير
|
||||
- استخدام تواريخ مستقبلية في اختبارات تقليم نقاط التحقق لمنع الفشل المعتمد على الوقت (#5543)
|
||||
|
||||
### الوثائق
|
||||
- تحديث سجل التغييرات والإصدار لـ v1.14.2
|
||||
|
||||
## المساهمون
|
||||
|
||||
@alex-clawd, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="17 أبريل 2026">
|
||||
## v1.14.2
|
||||
|
||||
|
||||
217
docs/ar/guides/coding-tools/build-with-ai.mdx
Normal file
217
docs/ar/guides/coding-tools/build-with-ai.mdx
Normal file
@@ -0,0 +1,217 @@
|
||||
---
|
||||
title: "البناء باستخدام الذكاء الاصطناعي"
|
||||
description: "كل ما يحتاجه وكلاء البرمجة بالذكاء الاصطناعي للبناء والنشر والتوسع مع CrewAI — المهارات، وثائق مقروءة آلياً، النشر، وميزات المؤسسات."
|
||||
icon: robot
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
# البناء باستخدام الذكاء الاصطناعي
|
||||
|
||||
CrewAI مُصمَّم أصلاً للعمل مع الذكاء الاصطناعي. تجمع هذه الصفحة ما يحتاجه وكيل البرمجة بالذكاء الاصطناعي للبناء مع CrewAI — سواءً كان Claude Code أو Codex أو Cursor أو Gemini CLI أو أي مساعد آخر يساعد المطوّر على إيصال الـ crews والـ flows.
|
||||
|
||||
### وكلاء البرمجة المدعومون
|
||||
|
||||
<CardGroup cols={5}>
|
||||
<Card title="Claude Code" icon="message-bot" color="#D97706" />
|
||||
<Card title="Cursor" icon="arrow-pointer" color="#3B82F6" />
|
||||
<Card title="Codex" icon="terminal" color="#10B981" />
|
||||
<Card title="Windsurf" icon="wind" color="#06B6D4" />
|
||||
<Card title="Gemini CLI" icon="sparkles" color="#8B5CF6" />
|
||||
</CardGroup>
|
||||
|
||||
<Note>
|
||||
صُممت هذه الصفحة للبشر وللمساعدين الذكيين على حدٍّ سواء. إذا كنت وكيل برمجة، ابدأ بـ **Skills** للحصول على سياق CrewAI، ثم استخدم **llms.txt** للوصول الكامل إلى الوثائق.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## 1. Skills — علِّم وكيلك CrewAI
|
||||
|
||||
**Skills** حزم تعليمات تمنح وكلاء البرمجة معرفة عميقة بـ CrewAI — كيفية إنشاء هيكل Flows، وضبط Crews، استخدام الأدوات، واتباع اتفاقيات الإطار.
|
||||
|
||||
<Tabs>
|
||||
<Tab title="Claude Code (سوق الإضافات)">
|
||||
<img src="https://cdn.simpleicons.org/anthropic/D97706" alt="Anthropic" width="28" style={{display: "inline", verticalAlign: "middle", marginRight: "8px"}} />
|
||||
مهارات CrewAI متاحة في **سوق إضافات Claude Code** — نفس قناة التوزيع التي تستخدمها شركات رائدة في مجال الذكاء الاصطناعي:
|
||||
```shell
|
||||
/plugin marketplace add crewAIInc/skills
|
||||
/plugin install crewai-skills@crewai-plugins
|
||||
/reload-plugins
|
||||
```
|
||||
|
||||
تُفعَّل أربع مهارات تلقائياً عند طرح أسئلة متعلقة بـ CrewAI:
|
||||
|
||||
| المهارة | متى تُستخدم |
|
||||
|---------|-------------|
|
||||
| `getting-started` | مشاريع جديدة، الاختيار بين `LLM.call()` / `Agent` / `Crew` / `Flow`، ربط `crew.py` / `main.py` |
|
||||
| `design-agent` | ضبط الوكلاء — الدور، الهدف، الخلفية، الأدوات، نماذج اللغة، الذاكرة، الحدود الآمنة |
|
||||
| `design-task` | وصف المهام، التبعيات، المخرجات المنظمة (`output_pydantic`، `output_json`)، المراجعة البشرية |
|
||||
| `ask-docs` | الاستعلام من [خادم CrewAI docs MCP](https://docs.crewai.com/mcp) للحصول على تفاصيل واجهة البرمجة الحالية |
|
||||
</Tab>
|
||||
<Tab title="npx (أي وكيل)">
|
||||
يعمل مع Claude Code أو Codex أو Cursor أو Gemini CLI أو أي وكيل برمجة:
|
||||
```shell
|
||||
npx skills add crewaiinc/skills
|
||||
```
|
||||
يُجلب من [سجل skills.sh](https://skills.sh/crewaiinc/skills).
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
<Steps>
|
||||
<Step title="ثبِّت حزمة المهارات الرسمية">
|
||||
استخدم إحدى الطريقتين أعلاه — سوق إضافات Claude Code أو `npx skills add`. كلاهما يثبّت الحزمة الرسمية [crewAIInc/skills](https://github.com/crewAIInc/skills).
|
||||
</Step>
|
||||
<Step title="يحصل وكيلك فوراً على خبرة CrewAI">
|
||||
تعلّم الحزمة وكيلك:
|
||||
- **Flows** — تطبيقات ذات حالة، خطوات، وتشغيل crews
|
||||
- **Crews والوكلاء** — أنماط YAML أولاً، الأدوار، المهام، التفويض
|
||||
- **الأدوات والتكاملات** — البحث، واجهات API، خوادم MCP، وأدوات CrewAI الشائعة
|
||||
- **هيكل المشروع** — هياكل CLI واتفاقيات المستودع
|
||||
- **أنماط محدثة** — يتماشى مع وثائق CrewAI الحالية وأفضل الممارسات
|
||||
</Step>
|
||||
<Step title="ابدأ البناء">
|
||||
يمكن لوكيلك الآن إنشاء هيكل وبناء مشاريع CrewAI دون أن تعيد شرح الإطار في كل جلسة.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="مفهوم Skills" icon="bolt" href="/ar/concepts/skills">
|
||||
كيف تعمل المهارات في وكلاء CrewAI — الحقن، التفعيل، والأنماط.
|
||||
</Card>
|
||||
<Card title="صفحة Skills" icon="wand-magic-sparkles" href="/ar/skills">
|
||||
نظرة على حزمة crewAIInc/skills وما تتضمنه.
|
||||
</Card>
|
||||
<Card title="AGENTS.md والأدوات" icon="terminal" href="/ar/guides/coding-tools/agents-md">
|
||||
إعداد AGENTS.md لـ Claude Code وCodex وCursor وGemini CLI.
|
||||
</Card>
|
||||
<Card title="سجل skills.sh" icon="globe" href="https://skills.sh/crewaiinc/skills">
|
||||
القائمة الرسمية — المهارات، إحصاءات التثبيت، والتدقيق.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 2. llms.txt — وثائق مقروءة آلياً
|
||||
|
||||
ينشر CrewAI ملف `llms.txt` يمنح المساعدين الذكيين وصولاً مباشراً إلى الوثائق الكاملة بصيغة مقروءة آلياً.
|
||||
|
||||
```
|
||||
https://docs.crewai.com/llms.txt
|
||||
```
|
||||
|
||||
<Tabs>
|
||||
<Tab title="ما هو llms.txt؟">
|
||||
[`llms.txt`](https://llmstxt.org/) معيار ناشئ لجعل الوثائق قابلة للاستهلاك من قبل نماذج اللغة الكبيرة. بدلاً من استخراج HTML، يمكن لوكيلك جلب ملف نصي واحد منظم بكل المحتوى المطلوب.
|
||||
|
||||
ملف `llms.txt` الخاص بـ CrewAI **متاح فعلياً** — يمكن لوكيلك استخدامه الآن.
|
||||
</Tab>
|
||||
<Tab title="كيفية الاستخدام">
|
||||
وجِّه وكيل البرمجة إلى عنوان URL عندما يحتاج إلى مرجع CrewAI:
|
||||
|
||||
```
|
||||
Fetch https://docs.crewai.com/llms.txt for CrewAI documentation.
|
||||
```
|
||||
|
||||
يمكن للعديد من وكلاء البرمجة (Claude Code، Cursor، وغيرهما) جلب عناوين URL مباشرة. يحتوي الملف على وثائق منظمة تغطي مفاهيم CrewAI وواجهات البرمجة والأدلة.
|
||||
</Tab>
|
||||
<Tab title="لماذا يهم">
|
||||
- **دون استخراج ويب** — محتوى نظيف ومنظم في طلب واحد
|
||||
- **دائماً محدث** — يُقدَّم مباشرة من docs.crewai.com
|
||||
- **محسّن لنماذج اللغة** — مُنسَّق لنوافذ السياق لا للمتصفحات
|
||||
- **يُكمّل Skills** — المهارات تعلّم الأنماط، وllms.txt يوفّر المرجع
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
---
|
||||
|
||||
## 3. النشر للمؤسسات
|
||||
|
||||
انتقل من crew محلي إلى الإنتاج على **CrewAI AMP** (منصة إدارة الوكلاء) في دقائق.
|
||||
|
||||
<Steps>
|
||||
<Step title="ابنِ محلياً">
|
||||
أنشئ الهيكل واختبر crew أو flow:
|
||||
```bash
|
||||
crewai create crew my_crew
|
||||
cd my_crew
|
||||
crewai run
|
||||
```
|
||||
</Step>
|
||||
<Step title="جهّز للنشر">
|
||||
تأكد أن هيكل مشروعك جاهز:
|
||||
```bash
|
||||
crewai deploy --prepare
|
||||
```
|
||||
راجع [دليل التحضير](/ar/enterprise/guides/prepare-for-deployment) لتفاصيل الهيكل والمتطلبات.
|
||||
</Step>
|
||||
<Step title="انشر على AMP">
|
||||
ادفع إلى منصة CrewAI AMP:
|
||||
```bash
|
||||
crewai deploy
|
||||
```
|
||||
يمكنك أيضاً النشر عبر [تكامل GitHub](/ar/enterprise/guides/deploy-to-amp) أو [Crew Studio](/ar/enterprise/guides/enable-crew-studio).
|
||||
</Step>
|
||||
<Step title="الوصول عبر API">
|
||||
يحصل الـ crew المنشور على نقطة نهاية REST. دمجه في أي تطبيق:
|
||||
```bash
|
||||
curl -X POST https://app.crewai.com/api/v1/crews/<crew-id>/kickoff \
|
||||
-H "Authorization: Bearer $CREWAI_API_KEY" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"inputs": {"topic": "AI agents"}}'
|
||||
```
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="النشر على AMP" icon="rocket" href="/ar/enterprise/guides/deploy-to-amp">
|
||||
دليل النشر الكامل — CLI وGitHub وCrew Studio.
|
||||
</Card>
|
||||
<Card title="مقدمة عن AMP" icon="globe" href="/ar/enterprise/introduction">
|
||||
نظرة على المنصة — ما يوفّره AMP لـ crews في الإنتاج.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 4. ميزات المؤسسات
|
||||
|
||||
CrewAI AMP مُصمَّم لفرق الإنتاج. إليك ما تحصل عليه بعد النشر.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="المراقبة والرصد" icon="chart-line">
|
||||
مسارات تنفيذ مفصّلة، وسجلات، ومقاييس أداء لكل تشغيل crew. راقب قرارات الوكلاء، استدعاءات الأدوات، وإكمال المهام في الوقت الفعلي.
|
||||
</Card>
|
||||
<Card title="Crew Studio" icon="paintbrush">
|
||||
واجهة منخفضة/بدون كود لإنشاء crews وتخصيصها ونشرها بصرياً — ثم التصدير إلى الشيفرة أو النشر مباشرة.
|
||||
</Card>
|
||||
<Card title="بث الويبهوك" icon="webhook">
|
||||
بث أحداث فورية من تنفيذات الـ crews إلى أنظمتك. تكامل مع Slack أو Zapier أو أي مستهلك ويبهوك.
|
||||
</Card>
|
||||
<Card title="إدارة الفريق" icon="users">
|
||||
SSO وRBAC وضوابط على مستوى المؤسسة. أدر من يمكنه إنشاء crews ونشرها والوصول إليها.
|
||||
</Card>
|
||||
<Card title="مستودع الأدوات" icon="toolbox">
|
||||
انشر وشارك أدواتاً مخصصة عبر مؤسستك. ثبّت أدوات المجتمع من السجل.
|
||||
</Card>
|
||||
<Card title="Factory (استضافة ذاتية)" icon="server">
|
||||
شغّل CrewAI AMP على بنيتك التحتية. قدرات المنصة كاملة مع ضوابط إقامة البيانات والامتثال.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
<AccordionGroup>
|
||||
<Accordion title="لمن مخصص AMP؟">
|
||||
لفرق تحتاج نقل سير عمل وكلاء الذكاء الاصطناعي من النماذج الأولية إلى الإنتاج — مع المراقبة وضوابط الوصول والبنية التحتية القابلة للتوسع. سواءً كنت ناشئاً أو مؤسسة كبيرة، يتولى AMP التعقيد التشغيلي لتتفرغ لبناء الوكلاء.
|
||||
</Accordion>
|
||||
<Accordion title="ما خيارات النشر المتاحة؟">
|
||||
- **السحابة (app.crewai.com)** — تُدار من CrewAI، أسرع طريق إلى الإنتاج
|
||||
- **Factory (استضافة ذاتية)** — على بنيتك التحتية لسيطرة كاملة على البيانات
|
||||
- **هجين** — دمج السحابة والاستضافة الذاتية حسب حساسية البيانات
|
||||
</Accordion>
|
||||
<Accordion title="كيف يعمل التسعير؟">
|
||||
سجّل في [app.crewai.com](https://app.crewai.com) لمعرفة الخطط الحالية. تسعير المؤسسات وFactory متاح عند الطلب.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
<Card title="استكشف CrewAI AMP →" icon="arrow-right" href="https://app.crewai.com">
|
||||
سجّل وانشر أول crew لك في الإنتاج.
|
||||
</Card>
|
||||
@@ -79,6 +79,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -127,7 +128,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -553,6 +555,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -601,7 +604,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1027,6 +1031,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -1075,7 +1080,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1501,6 +1507,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -1549,7 +1556,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -1975,6 +1983,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -2023,7 +2032,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2449,6 +2459,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -2497,7 +2508,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2921,6 +2933,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -2969,7 +2982,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3393,6 +3407,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -3441,7 +3456,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -3866,6 +3882,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -3914,7 +3931,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -4340,6 +4358,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -4388,7 +4407,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -4812,6 +4832,7 @@
|
||||
"group": "Get Started",
|
||||
"pages": [
|
||||
"en/introduction",
|
||||
"en/guides/coding-tools/build-with-ai",
|
||||
"en/skills",
|
||||
"en/installation",
|
||||
"en/quickstart"
|
||||
@@ -4860,7 +4881,8 @@
|
||||
"group": "Coding Tools",
|
||||
"icon": "terminal",
|
||||
"pages": [
|
||||
"en/guides/coding-tools/agents-md"
|
||||
"en/guides/coding-tools/agents-md",
|
||||
"en/guides/coding-tools/build-with-ai"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -5317,6 +5339,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -5775,6 +5798,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -6233,6 +6257,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -6691,6 +6716,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -7149,6 +7175,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -7607,6 +7634,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -8064,6 +8092,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -8521,6 +8550,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -8978,6 +9008,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -9434,6 +9465,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -9890,6 +9922,7 @@
|
||||
"group": "Começando",
|
||||
"pages": [
|
||||
"pt-BR/introduction",
|
||||
"pt-BR/guides/coding-tools/build-with-ai",
|
||||
"pt-BR/skills",
|
||||
"pt-BR/installation",
|
||||
"pt-BR/quickstart"
|
||||
@@ -10377,6 +10410,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -10847,6 +10881,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -11317,6 +11352,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -11787,6 +11823,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -12257,6 +12294,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -12727,6 +12765,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -13196,6 +13235,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -13665,6 +13705,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -14134,6 +14175,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -14602,6 +14644,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -15070,6 +15113,7 @@
|
||||
"group": "시작 안내",
|
||||
"pages": [
|
||||
"ko/introduction",
|
||||
"ko/guides/coding-tools/build-with-ai",
|
||||
"ko/skills",
|
||||
"ko/installation",
|
||||
"ko/quickstart"
|
||||
@@ -15569,6 +15613,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -16039,6 +16084,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -16509,6 +16555,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -16979,6 +17026,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -17449,6 +17497,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -17919,6 +17968,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -18388,6 +18438,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -18857,6 +18908,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -19326,6 +19378,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -19794,6 +19847,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
@@ -20262,6 +20316,7 @@
|
||||
"group": "البدء",
|
||||
"pages": [
|
||||
"ar/introduction",
|
||||
"ar/guides/coding-tools/build-with-ai",
|
||||
"ar/skills",
|
||||
"ar/installation",
|
||||
"ar/quickstart"
|
||||
|
||||
@@ -4,6 +4,61 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="Apr 22, 2026">
|
||||
## v1.14.3a2
|
||||
|
||||
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
|
||||
|
||||
## What's Changed
|
||||
|
||||
### Features
|
||||
- Add support for bedrock V4
|
||||
- Add Daytona sandbox tools for enhanced functionality
|
||||
- Add 'Build with AI' page — AI-native docs for coding agents
|
||||
- Add Build with AI to Get Started navigation and page files for all languages (en, ko, pt-BR, ar)
|
||||
|
||||
### Bug Fixes
|
||||
- Fix propagation of implicit @CrewBase names to crew events
|
||||
- Resolve issue with duplicate batch initialization in execution metadata merge
|
||||
- Fix serialization of Task class-reference fields for checkpointing
|
||||
- Handle BaseModel result in guardrail retry loop
|
||||
- Bump python-dotenv to version >=1.2.2 for security compliance
|
||||
|
||||
### Documentation
|
||||
- Update changelog and version for v1.14.3a1
|
||||
- Update descriptions and apply actual translations
|
||||
|
||||
## Contributors
|
||||
|
||||
@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="Apr 21, 2026">
|
||||
## v1.14.3a1
|
||||
|
||||
[View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
|
||||
|
||||
## What's Changed
|
||||
|
||||
### Features
|
||||
- Add checkpoint and fork support to standalone agents
|
||||
|
||||
### Bug Fixes
|
||||
- Preserve thought_signature in Gemini streaming tool calls
|
||||
- Emit task_started on fork resume and redesign checkpoint TUI
|
||||
- Correct dry-run order and handle checked-out stale branch in devtools release
|
||||
- Use future dates in checkpoint prune tests to prevent time-dependent failures (#5543)
|
||||
|
||||
### Documentation
|
||||
- Update changelog and version for v1.14.2
|
||||
|
||||
## Contributors
|
||||
|
||||
@alex-clawd, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="Apr 17, 2026">
|
||||
## v1.14.2
|
||||
|
||||
|
||||
217
docs/en/guides/coding-tools/build-with-ai.mdx
Normal file
217
docs/en/guides/coding-tools/build-with-ai.mdx
Normal file
@@ -0,0 +1,217 @@
|
||||
---
|
||||
title: "Build with AI"
|
||||
description: "Everything AI coding agents need to build, deploy, and scale with CrewAI — skills, machine-readable docs, deployment, and enterprise features."
|
||||
icon: robot
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
# Build with AI
|
||||
|
||||
CrewAI is AI-native. This page brings together everything an AI coding agent needs to build with CrewAI — whether you're Claude Code, Codex, Cursor, Gemini CLI, or any other assistant helping a developer ship crews and flows.
|
||||
|
||||
### Supported Coding Agents
|
||||
|
||||
<CardGroup cols={5}>
|
||||
<Card title="Claude Code" icon="message-bot" color="#D97706" />
|
||||
<Card title="Cursor" icon="arrow-pointer" color="#3B82F6" />
|
||||
<Card title="Codex" icon="terminal" color="#10B981" />
|
||||
<Card title="Windsurf" icon="wind" color="#06B6D4" />
|
||||
<Card title="Gemini CLI" icon="sparkles" color="#8B5CF6" />
|
||||
</CardGroup>
|
||||
|
||||
<Note>
|
||||
This page is designed to be consumed by both humans and AI assistants. If you're a coding agent, start with **Skills** to get CrewAI context, then use **llms.txt** for full docs access.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## 1. Skills — Teach Your Agent CrewAI
|
||||
|
||||
**Skills** are instruction packs that give coding agents deep CrewAI knowledge — how to scaffold Flows, configure Crews, use tools, and follow framework conventions.
|
||||
|
||||
<Tabs>
|
||||
<Tab title="Claude Code (Plugin Marketplace)">
|
||||
<img src="https://cdn.simpleicons.org/anthropic/D97706" alt="Anthropic" width="28" style={{display: "inline", verticalAlign: "middle", marginRight: "8px"}} />
|
||||
CrewAI skills are available in the **Claude Code plugin marketplace** — the same distribution channel used by top AI-native companies:
|
||||
```shell
|
||||
/plugin marketplace add crewAIInc/skills
|
||||
/plugin install crewai-skills@crewai-plugins
|
||||
/reload-plugins
|
||||
```
|
||||
|
||||
Four skills activate automatically when you ask relevant CrewAI questions:
|
||||
|
||||
| Skill | When it runs |
|
||||
|-------|--------------|
|
||||
| `getting-started` | Scaffolding new projects, choosing between `LLM.call()` / `Agent` / `Crew` / `Flow`, wiring `crew.py` / `main.py` |
|
||||
| `design-agent` | Configuring agents — role, goal, backstory, tools, LLMs, memory, guardrails |
|
||||
| `design-task` | Writing task descriptions, dependencies, structured output (`output_pydantic`, `output_json`), human review |
|
||||
| `ask-docs` | Querying the live [CrewAI docs MCP server](https://docs.crewai.com/mcp) for up-to-date API details |
|
||||
</Tab>
|
||||
<Tab title="npx (Any Agent)">
|
||||
Works with Claude Code, Codex, Cursor, Gemini CLI, or any coding agent:
|
||||
```shell
|
||||
npx skills add crewaiinc/skills
|
||||
```
|
||||
Pulls from the [skills.sh registry](https://skills.sh/crewaiinc/skills).
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
<Steps>
|
||||
<Step title="Install the official skill pack">
|
||||
Use either method above — the Claude Code plugin marketplace or `npx skills add`. Both install the official [crewAIInc/skills](https://github.com/crewAIInc/skills) pack.
|
||||
</Step>
|
||||
<Step title="Your agent gets instant CrewAI expertise">
|
||||
The skill pack teaches your agent:
|
||||
- **Flows** — stateful apps, steps, and crew kickoffs
|
||||
- **Crews & Agents** — YAML-first patterns, roles, tasks, delegation
|
||||
- **Tools & Integrations** — search, APIs, MCP servers, and common CrewAI tools
|
||||
- **Project layout** — CLI scaffolds and repo conventions
|
||||
- **Up-to-date patterns** — tracks current CrewAI docs and best practices
|
||||
</Step>
|
||||
<Step title="Start building">
|
||||
Your agent can now scaffold and build CrewAI projects without you re-explaining the framework each session.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Skills concept" icon="bolt" href="/en/concepts/skills">
|
||||
How skills work in CrewAI agents — injection, activation, and patterns.
|
||||
</Card>
|
||||
<Card title="Skills landing page" icon="wand-magic-sparkles" href="/en/skills">
|
||||
Overview of the crewAIInc/skills pack and what it includes.
|
||||
</Card>
|
||||
<Card title="AGENTS.md & coding tools" icon="terminal" href="/en/guides/coding-tools/agents-md">
|
||||
Set up AGENTS.md for Claude Code, Codex, Cursor, and Gemini CLI.
|
||||
</Card>
|
||||
<Card title="Skills registry (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
|
||||
Official listing — skills, install stats, and audits.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 2. llms.txt — Machine-Readable Docs
|
||||
|
||||
CrewAI publishes an `llms.txt` file that gives AI assistants direct access to the full documentation in a machine-readable format.
|
||||
|
||||
```
|
||||
https://docs.crewai.com/llms.txt
|
||||
```
|
||||
|
||||
<Tabs>
|
||||
<Tab title="What is llms.txt?">
|
||||
[`llms.txt`](https://llmstxt.org/) is an emerging standard for making documentation consumable by large language models. Instead of scraping HTML, your agent can fetch a single structured text file with all the content it needs.
|
||||
|
||||
CrewAI's `llms.txt` is **already live** — your agent can use it right now.
|
||||
</Tab>
|
||||
<Tab title="How to use it">
|
||||
Point your coding agent at the URL when it needs CrewAI reference docs:
|
||||
|
||||
```
|
||||
Fetch https://docs.crewai.com/llms.txt for CrewAI documentation.
|
||||
```
|
||||
|
||||
Many coding agents (Claude Code, Cursor, etc.) can fetch URLs directly. The file contains structured documentation covering all CrewAI concepts, APIs, and guides.
|
||||
</Tab>
|
||||
<Tab title="Why it matters">
|
||||
- **No scraping required** — clean, structured content in one request
|
||||
- **Always up-to-date** — served directly from docs.crewai.com
|
||||
- **Optimized for LLMs** — formatted for context windows, not browsers
|
||||
- **Complements skills** — skills teach patterns, llms.txt provides reference
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
---
|
||||
|
||||
## 3. Deploy to Enterprise
|
||||
|
||||
Go from a local crew to production on **CrewAI AMP** (Agent Management Platform) in minutes.
|
||||
|
||||
<Steps>
|
||||
<Step title="Build locally">
|
||||
Scaffold and test your crew or flow:
|
||||
```bash
|
||||
crewai create crew my_crew
|
||||
cd my_crew
|
||||
crewai run
|
||||
```
|
||||
</Step>
|
||||
<Step title="Prepare for deployment">
|
||||
Ensure your project structure is ready:
|
||||
```bash
|
||||
crewai deploy --prepare
|
||||
```
|
||||
See the [preparation guide](/en/enterprise/guides/prepare-for-deployment) for details on project structure and requirements.
|
||||
</Step>
|
||||
<Step title="Deploy to AMP">
|
||||
Push to the CrewAI AMP platform:
|
||||
```bash
|
||||
crewai deploy
|
||||
```
|
||||
You can also deploy via [GitHub integration](/en/enterprise/guides/deploy-to-amp) or [Crew Studio](/en/enterprise/guides/enable-crew-studio).
|
||||
</Step>
|
||||
<Step title="Access via API">
|
||||
Your deployed crew gets a REST API endpoint. Integrate it into any application:
|
||||
```bash
|
||||
curl -X POST https://app.crewai.com/api/v1/crews/<crew-id>/kickoff \
|
||||
-H "Authorization: Bearer $CREWAI_API_KEY" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"inputs": {"topic": "AI agents"}}'
|
||||
```
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Deploy to AMP" icon="rocket" href="/en/enterprise/guides/deploy-to-amp">
|
||||
Full deployment guide — CLI, GitHub, and Crew Studio methods.
|
||||
</Card>
|
||||
<Card title="AMP introduction" icon="globe" href="/en/enterprise/introduction">
|
||||
Platform overview — what AMP provides for production crews.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 4. Enterprise Features
|
||||
|
||||
CrewAI AMP is built for production teams. Here's what you get beyond deployment.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Observability" icon="chart-line">
|
||||
Detailed execution traces, logs, and performance metrics for every crew run. Monitor agent decisions, tool calls, and task completion in real time.
|
||||
</Card>
|
||||
<Card title="Crew Studio" icon="paintbrush">
|
||||
No-code/low-code interface to create, customize, and deploy crews visually — then export to code or deploy directly.
|
||||
</Card>
|
||||
<Card title="Webhook Streaming" icon="webhook">
|
||||
Stream real-time events from crew executions to your systems. Integrate with Slack, Zapier, or any webhook consumer.
|
||||
</Card>
|
||||
<Card title="Team Management" icon="users">
|
||||
SSO, RBAC, and organization-level controls. Manage who can create, deploy, and access crews across your team.
|
||||
</Card>
|
||||
<Card title="Tool Repository" icon="toolbox">
|
||||
Publish and share custom tools across your organization. Install community tools from the registry.
|
||||
</Card>
|
||||
<Card title="Factory (Self-Hosted)" icon="server">
|
||||
Run CrewAI AMP on your own infrastructure. Full platform capabilities with data residency and compliance controls.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
<AccordionGroup>
|
||||
<Accordion title="Who is AMP for?">
|
||||
AMP is for teams that need to move AI agent workflows from prototypes to production — with observability, access controls, and scalable infrastructure. Whether you're a startup or enterprise, AMP handles the operational complexity so you can focus on building agents.
|
||||
</Accordion>
|
||||
<Accordion title="What deployment options are available?">
|
||||
- **Cloud (app.crewai.com)** — managed by CrewAI, fastest path to production
|
||||
- **Factory (self-hosted)** — run on your own infrastructure for full data control
|
||||
- **Hybrid** — mix cloud and self-hosted based on sensitivity requirements
|
||||
</Accordion>
|
||||
<Accordion title="How does pricing work?">
|
||||
Sign up at [app.crewai.com](https://app.crewai.com) to see current plans. Enterprise and Factory pricing is available on request.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
<Card title="Explore CrewAI AMP →" icon="arrow-right" href="https://app.crewai.com">
|
||||
Sign up and deploy your first crew to production.
|
||||
</Card>
|
||||
@@ -4,6 +4,61 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="2026년 4월 22일">
|
||||
## v1.14.3a2
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 기능
|
||||
- 베드록 V4 지원 추가
|
||||
- 향상된 기능을 위한 데이토나 샌드박스 도구 추가
|
||||
- 'AI와 함께 빌드' 페이지 추가 — 코딩 에이전트를 위한 AI 네이티브 문서
|
||||
- 모든 언어(en, ko, pt-BR, ar)에 대한 시작하기 탐색 및 페이지 파일에 AI와 함께 빌드 추가
|
||||
|
||||
### 버그 수정
|
||||
- 크루 이벤트에 대한 암묵적 @CrewBase 이름 전파 수정
|
||||
- 실행 메타데이터 병합에서 중복 배치 초기화 문제 해결
|
||||
- 체크포인트를 위한 Task 클래스 참조 필드 직렬화 수정
|
||||
- 가드레일 재시도 루프에서 BaseModel 결과 처리
|
||||
- 보안 준수를 위해 python-dotenv를 버전 >=1.2.2로 업데이트
|
||||
|
||||
### 문서
|
||||
- v1.14.3a1에 대한 변경 로그 및 버전 업데이트
|
||||
- 설명 업데이트 및 실제 번역 적용
|
||||
|
||||
## 기여자
|
||||
|
||||
@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 4월 21일">
|
||||
## v1.14.3a1
|
||||
|
||||
[GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
|
||||
|
||||
## 변경 사항
|
||||
|
||||
### 기능
|
||||
- 독립형 에이전트에 체크포인트 및 포크 지원 추가
|
||||
|
||||
### 버그 수정
|
||||
- Gemini 스트리밍 도구 호출에서 thought_signature 보존
|
||||
- 포크 재개 시 task_started 방출 및 체크포인트 TUI 재설계
|
||||
- dry-run 순서 수정 및 devtools 릴리스에서 체크아웃된 오래된 브랜치 처리
|
||||
- 체크포인트 가지치기 테스트에서 미래 날짜 사용하여 시간 의존성 실패 방지 (#5543)
|
||||
|
||||
### 문서
|
||||
- v1.14.2에 대한 변경 로그 및 버전 업데이트
|
||||
|
||||
## 기여자
|
||||
|
||||
@alex-clawd, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="2026년 4월 17일">
|
||||
## v1.14.2
|
||||
|
||||
|
||||
217
docs/ko/guides/coding-tools/build-with-ai.mdx
Normal file
217
docs/ko/guides/coding-tools/build-with-ai.mdx
Normal file
@@ -0,0 +1,217 @@
|
||||
---
|
||||
title: "AI와 함께 빌드하기"
|
||||
description: "CrewAI로 빌드·배포·확장하는 데 필요한 모든 것 — 스킬, 기계가 읽을 수 있는 문서, 배포, 엔터프라이즈 기능을 AI 코딩 에이전트용으로 정리했습니다."
|
||||
icon: robot
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
# AI와 함께 빌드하기
|
||||
|
||||
CrewAI는 AI 네이티브입니다. 이 페이지는 Claude Code, Codex, Cursor, Gemini CLI 등 개발자가 crew와 flow를 배포하도록 돕는 코딩 에이전트가 CrewAI로 빌드할 때 필요한 내용을 한곳에 모았습니다.
|
||||
|
||||
### 지원 코딩 에이전트
|
||||
|
||||
<CardGroup cols={5}>
|
||||
<Card title="Claude Code" icon="message-bot" color="#D97706" />
|
||||
<Card title="Cursor" icon="arrow-pointer" color="#3B82F6" />
|
||||
<Card title="Codex" icon="terminal" color="#10B981" />
|
||||
<Card title="Windsurf" icon="wind" color="#06B6D4" />
|
||||
<Card title="Gemini CLI" icon="sparkles" color="#8B5CF6" />
|
||||
</CardGroup>
|
||||
|
||||
<Note>
|
||||
이 페이지는 사람과 AI 어시스턴트 모두를 위해 작성되었습니다. 코딩 에이전트라면 CrewAI 맥락은 **Skills**부터, 전체 문서 접근은 **llms.txt**를 사용하세요.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## 1. Skills — 에이전트에게 CrewAI 가르치기
|
||||
|
||||
**Skills**는 코딩 에이전트에게 Flow 스캐폴딩, Crew 구성, 도구 사용, 프레임워크 관례 등 CrewAI에 대한 깊은 지식을 담은 지침 묶음입니다.
|
||||
|
||||
<Tabs>
|
||||
<Tab title="Claude Code (플러그인 마켓플레이스)">
|
||||
<img src="https://cdn.simpleicons.org/anthropic/D97706" alt="Anthropic" width="28" style={{display: "inline", verticalAlign: "middle", marginRight: "8px"}} />
|
||||
CrewAI 스킬은 **Claude Code 플러그인 마켓플레이스**에서 제공됩니다. AI 네이티브 기업들이 쓰는 것과 같은 배포 채널입니다.
|
||||
```shell
|
||||
/plugin marketplace add crewAIInc/skills
|
||||
/plugin install crewai-skills@crewai-plugins
|
||||
/reload-plugins
|
||||
```
|
||||
|
||||
CrewAI와 관련된 질문을 하면 다음 네 가지 스킬이 자동으로 활성화됩니다.
|
||||
|
||||
| 스킬 | 실행 시점 |
|
||||
|------|-------------|
|
||||
| `getting-started` | 새 프로젝트 스캐폴딩, `LLM.call()` / `Agent` / `Crew` / `Flow` 선택, `crew.py` / `main.py` 연결 |
|
||||
| `design-agent` | 에이전트 구성 — 역할, 목표, 배경 이야기, 도구, LLM, 메모리, 가드레일 |
|
||||
| `design-task` | 태스크 설명, 의존성, 구조화된 출력(`output_pydantic`, `output_json`), 사람 검토 |
|
||||
| `ask-docs` | 최신 API 정보를 위해 [CrewAI 문서 MCP 서버](https://docs.crewai.com/mcp) 조회 |
|
||||
</Tab>
|
||||
<Tab title="npx (모든 에이전트)">
|
||||
Claude Code, Codex, Cursor, Gemini CLI 등 모든 코딩 에이전트에서 사용할 수 있습니다.
|
||||
```shell
|
||||
npx skills add crewaiinc/skills
|
||||
```
|
||||
[skills.sh 레지스트리](https://skills.sh/crewaiinc/skills)에서 가져옵니다.
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
<Steps>
|
||||
<Step title="공식 스킬 팩 설치">
|
||||
위 방법 중 하나를 사용하세요 — Claude Code 플러그인 마켓플레이스 또는 `npx skills add`. 둘 다 공식 [crewAIInc/skills](https://github.com/crewAIInc/skills) 팩을 설치합니다.
|
||||
</Step>
|
||||
<Step title="에이전트가 즉시 CrewAI 전문성을 갖춤">
|
||||
스킬 팩이 에이전트에게 알려 주는 내용:
|
||||
- **Flow** — 상태ful 앱, 단계, crew 킥오프
|
||||
- **Crew 및 에이전트** — YAML 우선 패턴, 역할, 태스크, 위임
|
||||
- **도구 및 통합** — 검색, API, MCP 서버, 일반적인 CrewAI 도구
|
||||
- **프로젝트 레이아웃** — CLI 스캐폴드와 저장소 관례
|
||||
- **최신 패턴** — 현재 CrewAI 문서와 모범 사례 반영
|
||||
</Step>
|
||||
<Step title="빌드 시작">
|
||||
매 세션마다 프레임워크를 다시 설명하지 않아도 에이전트가 CrewAI 프로젝트를 스캐폴딩하고 빌드할 수 있습니다.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Skills 개념" icon="bolt" href="/ko/concepts/skills">
|
||||
CrewAI 에이전트에서 스킬이 동작하는 방식 — 주입, 활성화, 패턴.
|
||||
</Card>
|
||||
<Card title="Skills 랜딩 페이지" icon="wand-magic-sparkles" href="/ko/skills">
|
||||
crewAIInc/skills 팩 개요와 포함 내용.
|
||||
</Card>
|
||||
<Card title="AGENTS.md 및 코딩 도구" icon="terminal" href="/ko/guides/coding-tools/agents-md">
|
||||
Claude Code, Codex, Cursor, Gemini CLI용 AGENTS.md 설정.
|
||||
</Card>
|
||||
<Card title="Skills 레지스트리 (skills.sh)" icon="globe" href="https://skills.sh/crewaiinc/skills">
|
||||
공식 목록 — 스킬, 설치 통계, 감사 정보.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 2. llms.txt — 기계가 읽을 수 있는 문서
|
||||
|
||||
CrewAI는 AI 어시스턴트가 전체 문서에 기계가 읽을 수 있는 형태로 바로 접근할 수 있도록 `llms.txt` 파일을 제공합니다.
|
||||
|
||||
```
|
||||
https://docs.crewai.com/llms.txt
|
||||
```
|
||||
|
||||
<Tabs>
|
||||
<Tab title="llms.txt란?">
|
||||
[`llms.txt`](https://llmstxt.org/)는 문서를 대규모 언어 모델이 소비하기 쉽게 만드는 새로운 표준입니다. HTML을 스크래핑하는 대신, 필요한 내용이 담긴 하나의 구조화된 텍스트 파일을 가져올 수 있습니다.
|
||||
|
||||
CrewAI의 `llms.txt`는 **이미 제공 중**이며, 에이전트가 바로 사용할 수 있습니다.
|
||||
</Tab>
|
||||
<Tab title="사용 방법">
|
||||
CrewAI 참고 문서가 필요할 때 코딩 에이전트에 URL을 알려 주세요.
|
||||
|
||||
```
|
||||
Fetch https://docs.crewai.com/llms.txt for CrewAI documentation.
|
||||
```
|
||||
|
||||
Claude Code, Cursor 등 많은 코딩 에이전트가 URL을 직접 가져올 수 있습니다. 파일에는 CrewAI 개념, API, 가이드를 아우르는 구조화된 문서가 포함되어 있습니다.
|
||||
</Tab>
|
||||
<Tab title="왜 중요한가">
|
||||
- **스크래핑 불필요** — 한 번의 요청으로 깔끔한 구조화 콘텐츠
|
||||
- **항상 최신** — docs.crewai.com에서 직접 제공
|
||||
- **LLM에 최적화** — 브라우저가 아니라 컨텍스트 윈도우에 맞게 포맷
|
||||
- **스킬과 상호 보완** — 스킬은 패턴을, llms.txt는 참조를 제공
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
---
|
||||
|
||||
## 3. 엔터프라이즈에 배포
|
||||
|
||||
로컬 crew를 몇 분 안에 **CrewAI AMP**(Agent Management Platform) 프로덕션으로 가져가세요.
|
||||
|
||||
<Steps>
|
||||
<Step title="로컬에서 빌드">
|
||||
crew 또는 flow를 스캐폴딩하고 테스트합니다.
|
||||
```bash
|
||||
crewai create crew my_crew
|
||||
cd my_crew
|
||||
crewai run
|
||||
```
|
||||
</Step>
|
||||
<Step title="배포 준비">
|
||||
프로젝트 구조가 준비되었는지 확인합니다.
|
||||
```bash
|
||||
crewai deploy --prepare
|
||||
```
|
||||
구조와 요구 사항은 [준비 가이드](/ko/enterprise/guides/prepare-for-deployment)를 참고하세요.
|
||||
</Step>
|
||||
<Step title="AMP에 배포">
|
||||
CrewAI AMP 플랫폼으로 푸시합니다.
|
||||
```bash
|
||||
crewai deploy
|
||||
```
|
||||
[GitHub 연동](/ko/enterprise/guides/deploy-to-amp) 또는 [Crew Studio](/ko/enterprise/guides/enable-crew-studio)로도 배포할 수 있습니다.
|
||||
</Step>
|
||||
<Step title="API로 접근">
|
||||
배포된 crew는 REST API 엔드포인트를 받습니다. 모든 애플리케이션에 통합할 수 있습니다.
|
||||
```bash
|
||||
curl -X POST https://app.crewai.com/api/v1/crews/<crew-id>/kickoff \
|
||||
-H "Authorization: Bearer $CREWAI_API_KEY" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"inputs": {"topic": "AI agents"}}'
|
||||
```
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="AMP에 배포" icon="rocket" href="/ko/enterprise/guides/deploy-to-amp">
|
||||
전체 배포 가이드 — CLI, GitHub, Crew Studio 방법.
|
||||
</Card>
|
||||
<Card title="AMP 소개" icon="globe" href="/ko/enterprise/introduction">
|
||||
플랫폼 개요 — 프로덕션 crew에 AMP가 제공하는 것.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 4. 엔터프라이즈 기능
|
||||
|
||||
CrewAI AMP는 프로덕션 팀을 위해 만들어졌습니다. 배포 외에 제공되는 것은 다음과 같습니다.
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="관측 가능성" icon="chart-line">
|
||||
모든 crew 실행에 대한 상세 실행 추적, 로그, 성능 지표. 에이전트 결정, 도구 호출, 태스크 완료를 실시간으로 모니터링합니다.
|
||||
</Card>
|
||||
<Card title="Crew Studio" icon="paintbrush">
|
||||
시각적으로 crew를 만들고, 맞춤 설정하고, 배포하는 노코드/로코드 인터페이스 — 코드로 보내거나 바로 배포할 수 있습니다.
|
||||
</Card>
|
||||
<Card title="웹훅 스트리밍" icon="webhook">
|
||||
crew 실행에서 실시간 이벤트를 시스템으로 스트리밍합니다. Slack, Zapier 등 웹훅 소비자와 연동할 수 있습니다.
|
||||
</Card>
|
||||
<Card title="팀 관리" icon="users">
|
||||
SSO, RBAC, 조직 단위 제어. 팀 전체에서 crew 생성·배포·접근 권한을 관리합니다.
|
||||
</Card>
|
||||
<Card title="도구 저장소" icon="toolbox">
|
||||
조직 전체에 맞춤 도구를 게시하고 공유합니다. 레지스트리에서 커뮤니티 도구를 설치합니다.
|
||||
</Card>
|
||||
<Card title="Factory(셀프 호스팅)" icon="server">
|
||||
자체 인프라에서 CrewAI AMP를 실행합니다. 데이터 상주와 규정 준수 제어와 함께 플랫폼 전체 기능을 사용할 수 있습니다.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
<AccordionGroup>
|
||||
<Accordion title="AMP는 누구를 위한 것인가요?">
|
||||
AI 에이전트 워크플로를 프로토타입에서 프로덕션으로 옮겨야 하는 팀을 위한 제품입니다. 관측 가능성, 접근 제어, 확장 가능한 인프라를 제공합니다. 스타트업이든 대기업이든 운영 복잡도는 AMP가 맡고, 에이전트 구축에 집중할 수 있습니다.
|
||||
</Accordion>
|
||||
<Accordion title="배포 옵션은 무엇이 있나요?">
|
||||
- **클라우드 (app.crewai.com)** — CrewAI가 관리, 프로덕션까지 가장 빠른 경로
|
||||
- **Factory(셀프 호스팅)** — 데이터 통제를 위해 자체 인프라에서 실행
|
||||
- **하이브리드** — 민감도에 따라 클라우드와 셀프 호스팅을 혼합
|
||||
</Accordion>
|
||||
<Accordion title="가격은 어떻게 되나요?">
|
||||
[app.crewai.com](https://app.crewai.com)에 가입하면 현재 요금제를 확인할 수 있습니다. 엔터프라이즈 및 Factory 가격은 문의 시 안내합니다.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
<Card title="CrewAI AMP 살펴보기 →" icon="arrow-right" href="https://app.crewai.com">
|
||||
가입하고 첫 crew를 프로덕션에 배포해 보세요.
|
||||
</Card>
|
||||
@@ -4,6 +4,61 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
|
||||
icon: "clock"
|
||||
mode: "wide"
|
||||
---
|
||||
<Update label="22 abr 2026">
|
||||
## v1.14.3a2
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a2)
|
||||
|
||||
## O que mudou
|
||||
|
||||
### Recursos
|
||||
- Adicionar suporte para bedrock V4
|
||||
- Adicionar ferramentas de sandbox Daytona para funcionalidade aprimorada
|
||||
- Adicionar página 'Construir com IA' — documentação nativa de IA para agentes de codificação
|
||||
- Adicionar Construir com IA à navegação Começar e arquivos de página para todos os idiomas (en, ko, pt-BR, ar)
|
||||
|
||||
### Correções de Bugs
|
||||
- Corrigir a propagação de nomes implícitos @CrewBase para eventos da equipe
|
||||
- Resolver problema com inicialização de lote duplicada na mesclagem de metadados de execução
|
||||
- Corrigir a serialização de campos de referência de classe Task para checkpointing
|
||||
- Lidar com o resultado BaseModel no loop de repetição de guardrail
|
||||
- Atualizar python-dotenv para a versão >=1.2.2 para conformidade de segurança
|
||||
|
||||
### Documentação
|
||||
- Atualizar changelog e versão para v1.14.3a1
|
||||
- Atualizar descrições e aplicar traduções reais
|
||||
|
||||
## Contributors
|
||||
|
||||
@MatthiasHowellYopp, @github-actions[bot], @greysonlalonde, @iris-clawd, @lorenzejay, @renatonitta
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="21 abr 2026">
|
||||
## v1.14.3a1
|
||||
|
||||
[Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.3a1)
|
||||
|
||||
## O que Mudou
|
||||
|
||||
### Funcionalidades
|
||||
- Adicionar suporte a checkpoint e fork para agentes autônomos
|
||||
|
||||
### Correções de Bugs
|
||||
- Preservar thought_signature nas chamadas da ferramenta de streaming Gemini
|
||||
- Emitir task_started na retomada do fork e redesenhar a TUI de checkpoint
|
||||
- Corrigir a ordem do dry-run e lidar com branch desatualizada em release do devtools
|
||||
- Usar datas futuras nos testes de poda de checkpoint para evitar falhas dependentes do tempo (#5543)
|
||||
|
||||
### Documentação
|
||||
- Atualizar changelog e versão para v1.14.2
|
||||
|
||||
## Contribuidores
|
||||
|
||||
@alex-clawd, @greysonlalonde
|
||||
|
||||
</Update>
|
||||
|
||||
<Update label="17 abr 2026">
|
||||
## v1.14.2
|
||||
|
||||
|
||||
217
docs/pt-BR/guides/coding-tools/build-with-ai.mdx
Normal file
217
docs/pt-BR/guides/coding-tools/build-with-ai.mdx
Normal file
@@ -0,0 +1,217 @@
|
||||
---
|
||||
title: "Construa com IA"
|
||||
description: "Tudo o que agentes de codificação com IA precisam para criar, implantar e escalar com CrewAI — skills, documentação legível por máquina, implantação e recursos enterprise."
|
||||
icon: robot
|
||||
mode: "wide"
|
||||
---
|
||||
|
||||
# Construa com IA
|
||||
|
||||
O CrewAI é nativo de IA. Esta página reúne o que um agente de codificação com IA precisa para construir com CrewAI — seja Claude Code, Codex, Cursor, Gemini CLI ou qualquer outro assistente que ajude um desenvolvedor a entregar crews e flows.
|
||||
|
||||
### Agentes de codificação compatíveis
|
||||
|
||||
<CardGroup cols={5}>
|
||||
<Card title="Claude Code" icon="message-bot" color="#D97706" />
|
||||
<Card title="Cursor" icon="arrow-pointer" color="#3B82F6" />
|
||||
<Card title="Codex" icon="terminal" color="#10B981" />
|
||||
<Card title="Windsurf" icon="wind" color="#06B6D4" />
|
||||
<Card title="Gemini CLI" icon="sparkles" color="#8B5CF6" />
|
||||
</CardGroup>
|
||||
|
||||
<Note>
|
||||
Esta página serve para humanos e para assistentes de IA. Se você é um agente de codificação, comece por **Skills** para obter contexto do CrewAI e depois use **llms.txt** para acesso completo à documentação.
|
||||
</Note>
|
||||
|
||||
---
|
||||
|
||||
## 1. Skills — ensine CrewAI ao seu agente
|
||||
|
||||
**Skills** são pacotes de instruções que dão aos agentes de codificação conhecimento profundo do CrewAI — como estruturar Flows, configurar Crews, usar ferramentas e seguir convenções do framework.
|
||||
|
||||
<Tabs>
|
||||
<Tab title="Claude Code (Plugin Marketplace)">
|
||||
<img src="https://cdn.simpleicons.org/anthropic/D97706" alt="Anthropic" width="28" style={{display: "inline", verticalAlign: "middle", marginRight: "8px"}} />
|
||||
As skills do CrewAI estão no **plugin marketplace do Claude Code** — o mesmo canal usado por empresas líderes em IA:
|
||||
```shell
|
||||
/plugin marketplace add crewAIInc/skills
|
||||
/plugin install crewai-skills@crewai-plugins
|
||||
/reload-plugins
|
||||
```
|
||||
|
||||
Quatro skills são ativadas automaticamente quando você faz perguntas relevantes sobre CrewAI:
|
||||
|
||||
| Skill | Quando é usada |
|
||||
|-------|----------------|
|
||||
| `getting-started` | Novos projetos, escolha entre `LLM.call()` / `Agent` / `Crew` / `Flow`, arquivos `crew.py` / `main.py` |
|
||||
| `design-agent` | Configurar agentes — papel, objetivo, história, ferramentas, LLMs, memória, guardrails |
|
||||
| `design-task` | Descrever tarefas, dependências, saída estruturada (`output_pydantic`, `output_json`), revisão humana |
|
||||
| `ask-docs` | Consultar o [servidor MCP da documentação CrewAI](https://docs.crewai.com/mcp) em tempo real para detalhes de API |
|
||||
</Tab>
|
||||
<Tab title="npx (qualquer agente)">
|
||||
Funciona com Claude Code, Codex, Cursor, Gemini CLI ou qualquer agente de codificação:
|
||||
```shell
|
||||
npx skills add crewaiinc/skills
|
||||
```
|
||||
Obtido do [registro skills.sh](https://skills.sh/crewaiinc/skills).
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
<Steps>
|
||||
<Step title="Instale o pacote oficial de skills">
|
||||
Use um dos métodos acima — o plugin marketplace do Claude Code ou `npx skills add`. Ambos instalam o pacote oficial [crewAIInc/skills](https://github.com/crewAIInc/skills).
|
||||
</Step>
|
||||
<Step title="Seu agente ganha expertise imediata em CrewAI">
|
||||
O pacote ensina ao seu agente:
|
||||
- **Flows** — apps com estado, passos e disparo de crews
|
||||
- **Crews e agentes** — padrões YAML-first, papéis, tarefas, delegação
|
||||
- **Ferramentas e integrações** — busca, APIs, servidores MCP e ferramentas comuns do CrewAI
|
||||
- **Estrutura do projeto** — scaffolds da CLI e convenções de repositório
|
||||
- **Padrões atualizados** — alinhado à documentação e às melhores práticas atuais do CrewAI
|
||||
</Step>
|
||||
<Step title="Comece a construir">
|
||||
Seu agente pode estruturar e construir projetos CrewAI sem você precisar reexplicar o framework a cada sessão.
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Conceito de skills" icon="bolt" href="/pt-BR/concepts/skills">
|
||||
Como skills funcionam em agentes CrewAI — injeção, ativação e padrões.
|
||||
</Card>
|
||||
<Card title="Página de skills" icon="wand-magic-sparkles" href="/pt-BR/skills">
|
||||
Visão geral do pacote crewAIInc/skills e do que ele inclui.
|
||||
</Card>
|
||||
<Card title="AGENTS.md e ferramentas" icon="terminal" href="/pt-BR/guides/coding-tools/agents-md">
|
||||
Configure o AGENTS.md para Claude Code, Codex, Cursor e Gemini CLI.
|
||||
</Card>
|
||||
<Card title="Registro skills.sh" icon="globe" href="https://skills.sh/crewaiinc/skills">
|
||||
Listagem oficial — skills, estatísticas de instalação e auditorias.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 2. llms.txt — documentação legível por máquina
|
||||
|
||||
O CrewAI publica um arquivo `llms.txt` que dá aos assistentes de IA acesso direto à documentação completa em formato legível por máquinas.
|
||||
|
||||
```
|
||||
https://docs.crewai.com/llms.txt
|
||||
```
|
||||
|
||||
<Tabs>
|
||||
<Tab title="O que é llms.txt?">
|
||||
[`llms.txt`](https://llmstxt.org/) é um padrão emergente para tornar a documentação consumível por grandes modelos de linguagem. Em vez de fazer scraping de HTML, seu agente pode buscar um único arquivo de texto estruturado com o conteúdo necessário.
|
||||
|
||||
O `llms.txt` do CrewAI **já está no ar** — seu agente pode usar agora.
|
||||
</Tab>
|
||||
<Tab title="Como usar">
|
||||
Indique ao agente de codificação a URL quando precisar da referência do CrewAI:
|
||||
|
||||
```
|
||||
Fetch https://docs.crewai.com/llms.txt for CrewAI documentation.
|
||||
```
|
||||
|
||||
Muitos agentes (Claude Code, Cursor etc.) conseguem buscar URLs diretamente. O arquivo contém documentação estruturada sobre conceitos, APIs e guias do CrewAI.
|
||||
</Tab>
|
||||
<Tab title="Por que importa">
|
||||
- **Sem scraping** — conteúdo limpo e estruturado em uma requisição
|
||||
- **Sempre atualizado** — servido diretamente de docs.crewai.com
|
||||
- **Otimizado para LLMs** — formatado para janelas de contexto, não para navegadores
|
||||
- **Complementa as skills** — skills ensinam padrões; llms.txt fornece referência
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
---
|
||||
|
||||
## 3. Implantação enterprise
|
||||
|
||||
Do crew local à produção no **CrewAI AMP** (Agent Management Platform) em minutos.
|
||||
|
||||
<Steps>
|
||||
<Step title="Construa localmente">
|
||||
Estruture e teste seu crew ou flow:
|
||||
```bash
|
||||
crewai create crew my_crew
|
||||
cd my_crew
|
||||
crewai run
|
||||
```
|
||||
</Step>
|
||||
<Step title="Prepare a implantação">
|
||||
Garanta que a estrutura do projeto está pronta:
|
||||
```bash
|
||||
crewai deploy --prepare
|
||||
```
|
||||
Veja o [guia de preparação](/pt-BR/enterprise/guides/prepare-for-deployment) para detalhes de estrutura e requisitos.
|
||||
</Step>
|
||||
<Step title="Implante no AMP">
|
||||
Envie para a plataforma CrewAI AMP:
|
||||
```bash
|
||||
crewai deploy
|
||||
```
|
||||
Também é possível implantar pela [integração com GitHub](/pt-BR/enterprise/guides/deploy-to-amp) ou pelo [Crew Studio](/pt-BR/enterprise/guides/enable-crew-studio).
|
||||
</Step>
|
||||
<Step title="Acesso via API">
|
||||
O crew implantado recebe um endpoint REST. Integre em qualquer aplicação:
|
||||
```bash
|
||||
curl -X POST https://app.crewai.com/api/v1/crews/<crew-id>/kickoff \
|
||||
-H "Authorization: Bearer $CREWAI_API_KEY" \
|
||||
-H "Content-Type: application/json" \
|
||||
-d '{"inputs": {"topic": "AI agents"}}'
|
||||
```
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Implantar no AMP" icon="rocket" href="/pt-BR/enterprise/guides/deploy-to-amp">
|
||||
Guia completo de implantação — CLI, GitHub e Crew Studio.
|
||||
</Card>
|
||||
<Card title="Introdução ao AMP" icon="globe" href="/pt-BR/enterprise/introduction">
|
||||
Visão da plataforma — o que o AMP oferece para crews em produção.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
---
|
||||
|
||||
## 4. Recursos enterprise
|
||||
|
||||
O CrewAI AMP foi feito para equipes em produção. Além da implantação, você obtém:
|
||||
|
||||
<CardGroup cols={2}>
|
||||
<Card title="Observabilidade" icon="chart-line">
|
||||
Traces de execução, logs e métricas de desempenho para cada execução de crew. Monitore decisões de agentes, chamadas de ferramentas e conclusão de tarefas em tempo real.
|
||||
</Card>
|
||||
<Card title="Crew Studio" icon="paintbrush">
|
||||
Interface no-code/low-code para criar, personalizar e implantar crews visualmente — exporte para código ou implante direto.
|
||||
</Card>
|
||||
<Card title="Webhook streaming" icon="webhook">
|
||||
Transmita eventos em tempo real das execuções para seus sistemas. Integre com Slack, Zapier ou qualquer consumidor de webhook.
|
||||
</Card>
|
||||
<Card title="Gestão de equipe" icon="users">
|
||||
SSO, RBAC e controles em nível de organização. Gerencie quem pode criar, implantar e acessar crews.
|
||||
</Card>
|
||||
<Card title="Repositório de ferramentas" icon="toolbox">
|
||||
Publique e compartilhe ferramentas customizadas na organização. Instale ferramentas da comunidade a partir do registro.
|
||||
</Card>
|
||||
<Card title="Factory (self-hosted)" icon="server">
|
||||
Execute o CrewAI AMP na sua infraestrutura. Capacidades completas da plataforma com residência de dados e controles de conformidade.
|
||||
</Card>
|
||||
</CardGroup>
|
||||
|
||||
<AccordionGroup>
|
||||
<Accordion title="Para quem é o AMP?">
|
||||
Para equipes que precisam levar fluxos de agentes de IA do protótipo à produção — com observabilidade, controles de acesso e infraestrutura escalável. De startups a grandes empresas, o AMP cuida da complexidade operacional para você focar nos agentes.
|
||||
</Accordion>
|
||||
<Accordion title="Quais opções de implantação existem?">
|
||||
- **Nuvem (app.crewai.com)** — gerenciada pela CrewAI, caminho mais rápido para produção
|
||||
- **Factory (self-hosted)** — na sua infraestrutura para controle total dos dados
|
||||
- **Híbrido** — combine nuvem e self-hosted conforme a sensibilidade dos dados
|
||||
</Accordion>
|
||||
<Accordion title="Como funciona o preço?">
|
||||
Cadastre-se em [app.crewai.com](https://app.crewai.com) para ver os planos atuais. Preços enterprise e Factory sob consulta.
|
||||
</Accordion>
|
||||
</AccordionGroup>
|
||||
|
||||
<Card title="Conheça o CrewAI AMP →" icon="arrow-right" href="https://app.crewai.com">
|
||||
Cadastre-se e leve seu primeiro crew à produção.
|
||||
</Card>
|
||||
@@ -152,4 +152,4 @@ __all__ = [
|
||||
"wrap_file_source",
|
||||
]
|
||||
|
||||
__version__ = "1.14.2"
|
||||
__version__ = "1.14.3a2"
|
||||
|
||||
@@ -10,7 +10,7 @@ requires-python = ">=3.10, <3.14"
|
||||
dependencies = [
|
||||
"pytube~=15.0.0",
|
||||
"requests>=2.33.0,<3",
|
||||
"crewai==1.14.2",
|
||||
"crewai==1.14.3a2",
|
||||
"tiktoken~=0.8.0",
|
||||
"beautifulsoup4~=4.13.4",
|
||||
"python-docx~=1.2.0",
|
||||
@@ -139,6 +139,9 @@ contextual = [
|
||||
"contextual-client>=0.1.0",
|
||||
"nest-asyncio>=1.6.0",
|
||||
]
|
||||
daytona = [
|
||||
"daytona~=0.140.0",
|
||||
]
|
||||
|
||||
|
||||
[tool.uv]
|
||||
|
||||
@@ -59,6 +59,11 @@ from crewai_tools.tools.dalle_tool.dalle_tool import DallETool
|
||||
from crewai_tools.tools.databricks_query_tool.databricks_query_tool import (
|
||||
DatabricksQueryTool,
|
||||
)
|
||||
from crewai_tools.tools.daytona_sandbox_tool import (
|
||||
DaytonaExecTool,
|
||||
DaytonaFileTool,
|
||||
DaytonaPythonTool,
|
||||
)
|
||||
from crewai_tools.tools.directory_read_tool.directory_read_tool import (
|
||||
DirectoryReadTool,
|
||||
)
|
||||
@@ -232,6 +237,9 @@ __all__ = [
|
||||
"DOCXSearchTool",
|
||||
"DallETool",
|
||||
"DatabricksQueryTool",
|
||||
"DaytonaExecTool",
|
||||
"DaytonaFileTool",
|
||||
"DaytonaPythonTool",
|
||||
"DirectoryReadTool",
|
||||
"DirectorySearchTool",
|
||||
"EXASearchTool",
|
||||
@@ -305,4 +313,4 @@ __all__ = [
|
||||
"ZapierActionTools",
|
||||
]
|
||||
|
||||
__version__ = "1.14.2"
|
||||
__version__ = "1.14.3a2"
|
||||
|
||||
@@ -48,6 +48,11 @@ from crewai_tools.tools.dalle_tool.dalle_tool import DallETool
|
||||
from crewai_tools.tools.databricks_query_tool.databricks_query_tool import (
|
||||
DatabricksQueryTool,
|
||||
)
|
||||
from crewai_tools.tools.daytona_sandbox_tool import (
|
||||
DaytonaExecTool,
|
||||
DaytonaFileTool,
|
||||
DaytonaPythonTool,
|
||||
)
|
||||
from crewai_tools.tools.directory_read_tool.directory_read_tool import (
|
||||
DirectoryReadTool,
|
||||
)
|
||||
@@ -217,6 +222,9 @@ __all__ = [
|
||||
"DOCXSearchTool",
|
||||
"DallETool",
|
||||
"DatabricksQueryTool",
|
||||
"DaytonaExecTool",
|
||||
"DaytonaFileTool",
|
||||
"DaytonaPythonTool",
|
||||
"DirectoryReadTool",
|
||||
"DirectorySearchTool",
|
||||
"EXASearchTool",
|
||||
|
||||
@@ -0,0 +1,107 @@
|
||||
# Daytona Sandbox Tools
|
||||
|
||||
Run shell commands, execute Python, and manage files inside a [Daytona](https://www.daytona.io/) sandbox. Daytona provides isolated, ephemeral compute environments suitable for agent-driven code execution.
|
||||
|
||||
Three tools are provided so you can pick what the agent actually needs:
|
||||
|
||||
- **`DaytonaExecTool`** — run a shell command (`sandbox.process.exec`).
|
||||
- **`DaytonaPythonTool`** — run a Python script (`sandbox.process.code_run`).
|
||||
- **`DaytonaFileTool`** — read / write / list / delete files (`sandbox.fs.*`).
|
||||
|
||||
## Installation
|
||||
|
||||
```shell
|
||||
uv add "crewai-tools[daytona]"
|
||||
# or
|
||||
pip install "crewai-tools[daytona]"
|
||||
```
|
||||
|
||||
Set the API key:
|
||||
|
||||
```shell
|
||||
export DAYTONA_API_KEY="..."
|
||||
```
|
||||
|
||||
`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
|
||||
|
||||
## Sandbox lifecycle
|
||||
|
||||
All three tools share the same lifecycle controls from `DaytonaBaseTool`:
|
||||
|
||||
| Mode | When the sandbox is created | When it is deleted |
|
||||
| --- | --- | --- |
|
||||
| **Ephemeral** (default, `persistent=False`) | On every `_run` call | At the end of that same call |
|
||||
| **Persistent** (`persistent=True`) | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
|
||||
| **Attach** (`sandbox_id="…"`) | Never — the tool attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
|
||||
|
||||
Ephemeral mode is the safe default: nothing leaks if the agent forgets to clean up. Use persistent mode when you want filesystem state or installed packages to carry across steps — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
|
||||
|
||||
## Examples
|
||||
|
||||
### One-shot Python execution (ephemeral)
|
||||
|
||||
```python
|
||||
from crewai_tools import DaytonaPythonTool
|
||||
|
||||
tool = DaytonaPythonTool()
|
||||
result = tool.run(code="print(sum(range(10)))")
|
||||
```
|
||||
|
||||
### Multi-step shell session (persistent)
|
||||
|
||||
```python
|
||||
from crewai_tools import DaytonaExecTool, DaytonaFileTool
|
||||
|
||||
exec_tool = DaytonaExecTool(persistent=True)
|
||||
file_tool = DaytonaFileTool(persistent=True)
|
||||
|
||||
# Agent writes a script, then runs it — both share the same sandbox instance
|
||||
# because they each keep their own persistent sandbox. If you need the *same*
|
||||
# sandbox across two tools, create one tool, grab the sandbox id via
|
||||
# `tool._persistent_sandbox.id`, and pass it to the other via `sandbox_id=...`.
|
||||
```
|
||||
|
||||
### Attach to an existing sandbox
|
||||
|
||||
```python
|
||||
from crewai_tools import DaytonaExecTool
|
||||
|
||||
tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
|
||||
```
|
||||
|
||||
### Custom create params
|
||||
|
||||
Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
|
||||
|
||||
```python
|
||||
tool = DaytonaExecTool(
|
||||
persistent=True,
|
||||
create_params={
|
||||
"language": "python",
|
||||
"env_vars": {"MY_FLAG": "1"},
|
||||
"labels": {"owner": "crewai-agent"},
|
||||
},
|
||||
)
|
||||
```
|
||||
|
||||
## Tool arguments
|
||||
|
||||
### `DaytonaExecTool`
|
||||
- `command: str` — shell command to run.
|
||||
- `cwd: str | None` — working directory.
|
||||
- `env: dict[str, str] | None` — extra env vars for this command.
|
||||
- `timeout: int | None` — seconds.
|
||||
|
||||
### `DaytonaPythonTool`
|
||||
- `code: str` — Python source to execute.
|
||||
- `argv: list[str] | None` — argv forwarded via `CodeRunParams`.
|
||||
- `env: dict[str, str] | None` — env vars forwarded via `CodeRunParams`.
|
||||
- `timeout: int | None` — seconds.
|
||||
|
||||
### `DaytonaFileTool`
|
||||
- `action: "read" | "write" | "list" | "delete" | "mkdir" | "info"`
|
||||
- `path: str` — absolute path inside the sandbox.
|
||||
- `content: str | None` — required for `write`.
|
||||
- `binary: bool` — if `True`, `content` is base64 on write / returned as base64 on read.
|
||||
- `recursive: bool` — for `delete`, removes directories recursively.
|
||||
- `mode: str` — for `mkdir`, octal permission string (default `"0755"`).
|
||||
@@ -0,0 +1,13 @@
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_exec_tool import DaytonaExecTool
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_file_tool import DaytonaFileTool
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_python_tool import (
|
||||
DaytonaPythonTool,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
"DaytonaBaseTool",
|
||||
"DaytonaExecTool",
|
||||
"DaytonaFileTool",
|
||||
"DaytonaPythonTool",
|
||||
]
|
||||
@@ -0,0 +1,198 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import atexit
|
||||
import logging
|
||||
import os
|
||||
import threading
|
||||
from typing import Any, ClassVar
|
||||
|
||||
from crewai.tools import BaseTool, EnvVar
|
||||
from pydantic import ConfigDict, Field, PrivateAttr
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class DaytonaBaseTool(BaseTool):
|
||||
"""Shared base for tools that act on a Daytona sandbox.
|
||||
|
||||
Lifecycle modes:
|
||||
- persistent=False (default): create a fresh sandbox per `_run` call and
|
||||
delete it when the call returns. Safer and stateless — nothing leaks if
|
||||
the agent forgets cleanup.
|
||||
- persistent=True: lazily create a single sandbox on first use, cache it
|
||||
on the instance, and register an atexit hook to delete it at process
|
||||
exit. Cheaper across many calls and lets files/state carry over.
|
||||
- sandbox_id=<existing>: attach to a sandbox the caller already owns.
|
||||
Never deleted by the tool.
|
||||
"""
|
||||
|
||||
model_config = ConfigDict(arbitrary_types_allowed=True)
|
||||
|
||||
package_dependencies: list[str] = Field(default_factory=lambda: ["daytona"])
|
||||
|
||||
api_key: str | None = Field(
|
||||
default_factory=lambda: os.getenv("DAYTONA_API_KEY"),
|
||||
description="Daytona API key. Falls back to DAYTONA_API_KEY env var.",
|
||||
json_schema_extra={"required": False},
|
||||
)
|
||||
api_url: str | None = Field(
|
||||
default_factory=lambda: os.getenv("DAYTONA_API_URL"),
|
||||
description="Daytona API URL override. Falls back to DAYTONA_API_URL env var.",
|
||||
json_schema_extra={"required": False},
|
||||
)
|
||||
target: str | None = Field(
|
||||
default_factory=lambda: os.getenv("DAYTONA_TARGET"),
|
||||
description="Daytona target region. Falls back to DAYTONA_TARGET env var.",
|
||||
json_schema_extra={"required": False},
|
||||
)
|
||||
|
||||
persistent: bool = Field(
|
||||
default=False,
|
||||
description=(
|
||||
"If True, reuse one sandbox across all calls to this tool instance "
|
||||
"and delete it at process exit. Default False creates and deletes a "
|
||||
"fresh sandbox per call."
|
||||
),
|
||||
)
|
||||
sandbox_id: str | None = Field(
|
||||
default=None,
|
||||
description=(
|
||||
"Attach to an existing sandbox by id or name instead of creating a "
|
||||
"new one. The tool will never delete a sandbox it did not create."
|
||||
),
|
||||
)
|
||||
create_params: dict[str, Any] | None = Field(
|
||||
default=None,
|
||||
description=(
|
||||
"Optional kwargs forwarded to CreateSandboxFromSnapshotParams when "
|
||||
"creating a sandbox (e.g. language, snapshot, env_vars, labels)."
|
||||
),
|
||||
)
|
||||
sandbox_timeout: float = Field(
|
||||
default=60.0,
|
||||
description="Timeout in seconds for sandbox create/delete operations.",
|
||||
)
|
||||
|
||||
env_vars: list[EnvVar] = Field(
|
||||
default_factory=lambda: [
|
||||
EnvVar(
|
||||
name="DAYTONA_API_KEY",
|
||||
description="API key for Daytona sandbox service",
|
||||
required=False,
|
||||
),
|
||||
EnvVar(
|
||||
name="DAYTONA_API_URL",
|
||||
description="Daytona API base URL (optional)",
|
||||
required=False,
|
||||
),
|
||||
EnvVar(
|
||||
name="DAYTONA_TARGET",
|
||||
description="Daytona target region (optional)",
|
||||
required=False,
|
||||
),
|
||||
]
|
||||
)
|
||||
|
||||
_client: Any | None = PrivateAttr(default=None)
|
||||
_persistent_sandbox: Any | None = PrivateAttr(default=None)
|
||||
_lock: threading.Lock = PrivateAttr(default_factory=threading.Lock)
|
||||
_cleanup_registered: bool = PrivateAttr(default=False)
|
||||
|
||||
_sdk_cache: ClassVar[dict[str, Any]] = {}
|
||||
|
||||
@classmethod
|
||||
def _import_sdk(cls) -> dict[str, Any]:
|
||||
if cls._sdk_cache:
|
||||
return cls._sdk_cache
|
||||
try:
|
||||
from daytona import (
|
||||
CreateSandboxFromSnapshotParams,
|
||||
Daytona,
|
||||
DaytonaConfig,
|
||||
)
|
||||
except ImportError as exc:
|
||||
raise ImportError(
|
||||
"The 'daytona' package is required for Daytona sandbox tools. "
|
||||
"Install it with: uv add daytona (or) pip install daytona"
|
||||
) from exc
|
||||
cls._sdk_cache = {
|
||||
"Daytona": Daytona,
|
||||
"DaytonaConfig": DaytonaConfig,
|
||||
"CreateSandboxFromSnapshotParams": CreateSandboxFromSnapshotParams,
|
||||
}
|
||||
return cls._sdk_cache
|
||||
|
||||
def _get_client(self) -> Any:
|
||||
if self._client is not None:
|
||||
return self._client
|
||||
sdk = self._import_sdk()
|
||||
config_kwargs: dict[str, Any] = {}
|
||||
if self.api_key:
|
||||
config_kwargs["api_key"] = self.api_key
|
||||
if self.api_url:
|
||||
config_kwargs["api_url"] = self.api_url
|
||||
if self.target:
|
||||
config_kwargs["target"] = self.target
|
||||
config = sdk["DaytonaConfig"](**config_kwargs) if config_kwargs else None
|
||||
self._client = sdk["Daytona"](config) if config else sdk["Daytona"]()
|
||||
return self._client
|
||||
|
||||
def _build_create_params(self) -> Any | None:
|
||||
if not self.create_params:
|
||||
return None
|
||||
sdk = self._import_sdk()
|
||||
return sdk["CreateSandboxFromSnapshotParams"](**self.create_params)
|
||||
|
||||
def _acquire_sandbox(self) -> tuple[Any, bool]:
|
||||
"""Return (sandbox, should_delete_after_use)."""
|
||||
client = self._get_client()
|
||||
|
||||
if self.sandbox_id:
|
||||
return client.get(self.sandbox_id), False
|
||||
|
||||
if self.persistent:
|
||||
with self._lock:
|
||||
if self._persistent_sandbox is None:
|
||||
self._persistent_sandbox = client.create(
|
||||
self._build_create_params(),
|
||||
timeout=self.sandbox_timeout,
|
||||
)
|
||||
if not self._cleanup_registered:
|
||||
atexit.register(self.close)
|
||||
self._cleanup_registered = True
|
||||
return self._persistent_sandbox, False
|
||||
|
||||
sandbox = client.create(
|
||||
self._build_create_params(),
|
||||
timeout=self.sandbox_timeout,
|
||||
)
|
||||
return sandbox, True
|
||||
|
||||
def _release_sandbox(self, sandbox: Any, should_delete: bool) -> None:
|
||||
if not should_delete:
|
||||
return
|
||||
try:
|
||||
sandbox.delete(timeout=self.sandbox_timeout)
|
||||
except Exception:
|
||||
logger.debug(
|
||||
"Best-effort sandbox cleanup failed after ephemeral use; "
|
||||
"the sandbox may need manual deletion.",
|
||||
exc_info=True,
|
||||
)
|
||||
|
||||
def close(self) -> None:
|
||||
"""Delete the cached persistent sandbox if one exists."""
|
||||
with self._lock:
|
||||
sandbox = self._persistent_sandbox
|
||||
self._persistent_sandbox = None
|
||||
if sandbox is None:
|
||||
return
|
||||
try:
|
||||
sandbox.delete(timeout=self.sandbox_timeout)
|
||||
except Exception:
|
||||
logger.debug(
|
||||
"Best-effort persistent sandbox cleanup failed at close(); "
|
||||
"the sandbox may need manual deletion.",
|
||||
exc_info=True,
|
||||
)
|
||||
@@ -0,0 +1,59 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from builtins import type as type_
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
|
||||
|
||||
|
||||
class DaytonaExecToolSchema(BaseModel):
|
||||
command: str = Field(..., description="Shell command to execute in the sandbox.")
|
||||
cwd: str | None = Field(
|
||||
default=None,
|
||||
description="Working directory to run the command in. Defaults to the sandbox work dir.",
|
||||
)
|
||||
env: dict[str, str] | None = Field(
|
||||
default=None,
|
||||
description="Optional environment variables to set for this command.",
|
||||
)
|
||||
timeout: int | None = Field(
|
||||
default=None,
|
||||
description="Maximum seconds to wait for the command to finish.",
|
||||
)
|
||||
|
||||
|
||||
class DaytonaExecTool(DaytonaBaseTool):
|
||||
"""Run a shell command inside a Daytona sandbox."""
|
||||
|
||||
name: str = "Daytona Sandbox Exec"
|
||||
description: str = (
|
||||
"Execute a shell command inside a Daytona sandbox and return the exit "
|
||||
"code and combined output. Use this to run builds, package installs, "
|
||||
"git operations, or any one-off shell command."
|
||||
)
|
||||
args_schema: type_[BaseModel] = DaytonaExecToolSchema
|
||||
|
||||
def _run(
|
||||
self,
|
||||
command: str,
|
||||
cwd: str | None = None,
|
||||
env: dict[str, str] | None = None,
|
||||
timeout: int | None = None,
|
||||
) -> Any:
|
||||
sandbox, should_delete = self._acquire_sandbox()
|
||||
try:
|
||||
response = sandbox.process.exec(
|
||||
command,
|
||||
cwd=cwd,
|
||||
env=env,
|
||||
timeout=timeout,
|
||||
)
|
||||
return {
|
||||
"exit_code": getattr(response, "exit_code", None),
|
||||
"result": getattr(response, "result", None),
|
||||
"artifacts": getattr(response, "artifacts", None),
|
||||
}
|
||||
finally:
|
||||
self._release_sandbox(sandbox, should_delete)
|
||||
@@ -0,0 +1,205 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import base64
|
||||
from builtins import type as type_
|
||||
import logging
|
||||
import posixpath
|
||||
from typing import Any, Literal
|
||||
|
||||
from pydantic import BaseModel, Field, model_validator
|
||||
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
|
||||
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
FileAction = Literal["read", "write", "append", "list", "delete", "mkdir", "info"]
|
||||
|
||||
|
||||
class DaytonaFileToolSchema(BaseModel):
|
||||
action: FileAction = Field(
|
||||
...,
|
||||
description=(
|
||||
"The filesystem action to perform: 'read' (returns file contents), "
|
||||
"'write' (create or replace a file with content), 'append' (append "
|
||||
"content to an existing file — use this for writing large files in "
|
||||
"chunks to avoid hitting tool-call size limits), 'list' (lists a "
|
||||
"directory), 'delete' (removes a file/dir), 'mkdir' (creates a "
|
||||
"directory), 'info' (returns file metadata)."
|
||||
),
|
||||
)
|
||||
path: str = Field(..., description="Absolute path inside the sandbox.")
|
||||
content: str | None = Field(
|
||||
default=None,
|
||||
description=(
|
||||
"Content to write or append. If omitted for 'write', an empty file "
|
||||
"is created. For files larger than a few KB, prefer one 'write' "
|
||||
"with empty content followed by multiple 'append' calls of ~4KB "
|
||||
"each to stay within tool-call payload limits."
|
||||
),
|
||||
)
|
||||
binary: bool = Field(
|
||||
default=False,
|
||||
description=(
|
||||
"For 'write': treat content as base64 and upload raw bytes. "
|
||||
"For 'read': return contents as base64 instead of decoded utf-8."
|
||||
),
|
||||
)
|
||||
recursive: bool = Field(
|
||||
default=False,
|
||||
description="For action='delete': remove directories recursively.",
|
||||
)
|
||||
mode: str = Field(
|
||||
default="0755",
|
||||
description="For action='mkdir': octal permission string (default 0755).",
|
||||
)
|
||||
|
||||
@model_validator(mode="after")
|
||||
def _validate_action_args(self) -> DaytonaFileToolSchema:
|
||||
if self.action == "append" and self.content is None:
|
||||
raise ValueError(
|
||||
"action='append' requires 'content'. Pass the chunk to append "
|
||||
"in the 'content' field."
|
||||
)
|
||||
return self
|
||||
|
||||
|
||||
class DaytonaFileTool(DaytonaBaseTool):
|
||||
"""Read, write, and manage files inside a Daytona sandbox.
|
||||
|
||||
Notes:
|
||||
- Most useful with `persistent=True` or an explicit `sandbox_id`. With the
|
||||
default ephemeral mode, files disappear when this tool call finishes.
|
||||
"""
|
||||
|
||||
name: str = "Daytona Sandbox Files"
|
||||
description: str = (
|
||||
"Perform filesystem operations inside a Daytona sandbox: read a file, "
|
||||
"write content to a path, append content to an existing file, list a "
|
||||
"directory, delete a path, make a directory, or fetch file metadata. "
|
||||
"For files larger than a few KB, create the file with action='write' "
|
||||
"and empty content, then send the body via multiple 'append' calls of "
|
||||
"~4KB each to stay within tool-call payload limits."
|
||||
)
|
||||
args_schema: type_[BaseModel] = DaytonaFileToolSchema
|
||||
|
||||
def _run(
|
||||
self,
|
||||
action: FileAction,
|
||||
path: str,
|
||||
content: str | None = None,
|
||||
binary: bool = False,
|
||||
recursive: bool = False,
|
||||
mode: str = "0755",
|
||||
) -> Any:
|
||||
sandbox, should_delete = self._acquire_sandbox()
|
||||
try:
|
||||
if action == "read":
|
||||
return self._read(sandbox, path, binary=binary)
|
||||
if action == "write":
|
||||
return self._write(sandbox, path, content or "", binary=binary)
|
||||
if action == "append":
|
||||
return self._append(sandbox, path, content or "", binary=binary)
|
||||
if action == "list":
|
||||
return self._list(sandbox, path)
|
||||
if action == "delete":
|
||||
sandbox.fs.delete_file(path, recursive=recursive)
|
||||
return {"status": "deleted", "path": path}
|
||||
if action == "mkdir":
|
||||
sandbox.fs.create_folder(path, mode)
|
||||
return {"status": "created", "path": path, "mode": mode}
|
||||
if action == "info":
|
||||
return self._info(sandbox, path)
|
||||
raise ValueError(f"Unknown action: {action}")
|
||||
finally:
|
||||
self._release_sandbox(sandbox, should_delete)
|
||||
|
||||
def _read(self, sandbox: Any, path: str, *, binary: bool) -> dict[str, Any]:
|
||||
data: bytes = sandbox.fs.download_file(path)
|
||||
if binary:
|
||||
return {
|
||||
"path": path,
|
||||
"encoding": "base64",
|
||||
"content": base64.b64encode(data).decode("ascii"),
|
||||
}
|
||||
try:
|
||||
return {"path": path, "encoding": "utf-8", "content": data.decode("utf-8")}
|
||||
except UnicodeDecodeError:
|
||||
return {
|
||||
"path": path,
|
||||
"encoding": "base64",
|
||||
"content": base64.b64encode(data).decode("ascii"),
|
||||
"note": "File was not valid utf-8; returned as base64.",
|
||||
}
|
||||
|
||||
def _write(
|
||||
self, sandbox: Any, path: str, content: str, *, binary: bool
|
||||
) -> dict[str, Any]:
|
||||
payload = base64.b64decode(content) if binary else content.encode("utf-8")
|
||||
self._ensure_parent_dir(sandbox, path)
|
||||
sandbox.fs.upload_file(payload, path)
|
||||
return {"status": "written", "path": path, "bytes": len(payload)}
|
||||
|
||||
def _append(
|
||||
self, sandbox: Any, path: str, content: str, *, binary: bool
|
||||
) -> dict[str, Any]:
|
||||
chunk = base64.b64decode(content) if binary else content.encode("utf-8")
|
||||
self._ensure_parent_dir(sandbox, path)
|
||||
try:
|
||||
existing: bytes = sandbox.fs.download_file(path)
|
||||
except Exception:
|
||||
existing = b""
|
||||
payload = existing + chunk
|
||||
sandbox.fs.upload_file(payload, path)
|
||||
return {
|
||||
"status": "appended",
|
||||
"path": path,
|
||||
"appended_bytes": len(chunk),
|
||||
"total_bytes": len(payload),
|
||||
}
|
||||
|
||||
@staticmethod
|
||||
def _ensure_parent_dir(sandbox: Any, path: str) -> None:
|
||||
"""Make sure the parent directory of `path` exists.
|
||||
|
||||
Daytona's upload returns 400 if the parent directory is missing. We
|
||||
best-effort mkdir the parent; any error (e.g. already exists) is
|
||||
swallowed because `create_folder` is not idempotent on the server.
|
||||
"""
|
||||
parent = posixpath.dirname(path)
|
||||
if not parent or parent in ("/", "."):
|
||||
return
|
||||
try:
|
||||
sandbox.fs.create_folder(parent, "0755")
|
||||
except Exception:
|
||||
logger.debug(
|
||||
"Best-effort parent-directory create failed for %s; "
|
||||
"assuming it already exists and proceeding with the write.",
|
||||
parent,
|
||||
exc_info=True,
|
||||
)
|
||||
|
||||
def _list(self, sandbox: Any, path: str) -> dict[str, Any]:
|
||||
entries = sandbox.fs.list_files(path)
|
||||
return {
|
||||
"path": path,
|
||||
"entries": [self._file_info_to_dict(entry) for entry in entries],
|
||||
}
|
||||
|
||||
def _info(self, sandbox: Any, path: str) -> dict[str, Any]:
|
||||
return self._file_info_to_dict(sandbox.fs.get_file_info(path))
|
||||
|
||||
@staticmethod
|
||||
def _file_info_to_dict(info: Any) -> dict[str, Any]:
|
||||
fields = (
|
||||
"name",
|
||||
"size",
|
||||
"mode",
|
||||
"permissions",
|
||||
"is_dir",
|
||||
"mod_time",
|
||||
"owner",
|
||||
"group",
|
||||
)
|
||||
return {field: getattr(info, field, None) for field in fields}
|
||||
@@ -0,0 +1,82 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from builtins import type as type_
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from crewai_tools.tools.daytona_sandbox_tool.daytona_base_tool import DaytonaBaseTool
|
||||
|
||||
|
||||
class DaytonaPythonToolSchema(BaseModel):
|
||||
code: str = Field(
|
||||
...,
|
||||
description="Python source to execute inside the sandbox.",
|
||||
)
|
||||
argv: list[str] | None = Field(
|
||||
default=None,
|
||||
description="Optional argv passed to the script (forwarded as params.argv).",
|
||||
)
|
||||
env: dict[str, str] | None = Field(
|
||||
default=None,
|
||||
description="Optional environment variables for the run (forwarded as params.env).",
|
||||
)
|
||||
timeout: int | None = Field(
|
||||
default=None,
|
||||
description="Maximum seconds to wait for the code to finish.",
|
||||
)
|
||||
|
||||
|
||||
class DaytonaPythonTool(DaytonaBaseTool):
|
||||
"""Run Python source inside a Daytona sandbox."""
|
||||
|
||||
name: str = "Daytona Sandbox Python"
|
||||
description: str = (
|
||||
"Execute a block of Python code inside a Daytona sandbox and return the "
|
||||
"exit code, captured stdout, and any produced artifacts. Use this for "
|
||||
"data processing, quick scripts, or analysis that should run in an "
|
||||
"isolated environment."
|
||||
)
|
||||
args_schema: type_[BaseModel] = DaytonaPythonToolSchema
|
||||
|
||||
def _run(
|
||||
self,
|
||||
code: str,
|
||||
argv: list[str] | None = None,
|
||||
env: dict[str, str] | None = None,
|
||||
timeout: int | None = None,
|
||||
) -> Any:
|
||||
sandbox, should_delete = self._acquire_sandbox()
|
||||
try:
|
||||
params = self._build_code_run_params(argv=argv, env=env)
|
||||
response = sandbox.process.code_run(code, params=params, timeout=timeout)
|
||||
return {
|
||||
"exit_code": getattr(response, "exit_code", None),
|
||||
"result": getattr(response, "result", None),
|
||||
"artifacts": getattr(response, "artifacts", None),
|
||||
}
|
||||
finally:
|
||||
self._release_sandbox(sandbox, should_delete)
|
||||
|
||||
def _build_code_run_params(
|
||||
self,
|
||||
argv: list[str] | None,
|
||||
env: dict[str, str] | None,
|
||||
) -> Any | None:
|
||||
if argv is None and env is None:
|
||||
return None
|
||||
try:
|
||||
from daytona import CodeRunParams
|
||||
except ImportError as exc:
|
||||
raise ImportError(
|
||||
"Could not import daytona.CodeRunParams while building "
|
||||
"argv/env for sandbox.process.code_run. This usually means the "
|
||||
"installed 'daytona' SDK is too old or incompatible. Upgrade "
|
||||
"with: pip install -U 'crewai-tools[daytona]'"
|
||||
) from exc
|
||||
kwargs: dict[str, Any] = {}
|
||||
if argv is not None:
|
||||
kwargs["argv"] = argv
|
||||
if env is not None:
|
||||
kwargs["env"] = env
|
||||
return CodeRunParams(**kwargs)
|
||||
@@ -6976,6 +6976,634 @@
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
{
|
||||
"description": "Execute a shell command inside a Daytona sandbox and return the exit code and combined output. Use this to run builds, package installs, git operations, or any one-off shell command.",
|
||||
"env_vars": [
|
||||
{
|
||||
"default": null,
|
||||
"description": "API key for Daytona sandbox service",
|
||||
"name": "DAYTONA_API_KEY",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"default": null,
|
||||
"description": "Daytona API base URL (optional)",
|
||||
"name": "DAYTONA_API_URL",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"default": null,
|
||||
"description": "Daytona target region (optional)",
|
||||
"name": "DAYTONA_TARGET",
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"humanized_name": "Daytona Sandbox Exec",
|
||||
"init_params_schema": {
|
||||
"$defs": {
|
||||
"EnvVar": {
|
||||
"properties": {
|
||||
"default": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"title": "Default"
|
||||
},
|
||||
"description": {
|
||||
"title": "Description",
|
||||
"type": "string"
|
||||
},
|
||||
"name": {
|
||||
"title": "Name",
|
||||
"type": "string"
|
||||
},
|
||||
"required": {
|
||||
"default": true,
|
||||
"title": "Required",
|
||||
"type": "boolean"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"name",
|
||||
"description"
|
||||
],
|
||||
"title": "EnvVar",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
"description": "Run a shell command inside a Daytona sandbox.",
|
||||
"properties": {
|
||||
"api_key": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona API key. Falls back to DAYTONA_API_KEY env var.",
|
||||
"required": false,
|
||||
"title": "Api Key"
|
||||
},
|
||||
"api_url": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona API URL override. Falls back to DAYTONA_API_URL env var.",
|
||||
"required": false,
|
||||
"title": "Api Url"
|
||||
},
|
||||
"create_params": {
|
||||
"anyOf": [
|
||||
{
|
||||
"additionalProperties": true,
|
||||
"type": "object"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Optional kwargs forwarded to CreateSandboxFromSnapshotParams when creating a sandbox (e.g. language, snapshot, env_vars, labels).",
|
||||
"title": "Create Params"
|
||||
},
|
||||
"persistent": {
|
||||
"default": false,
|
||||
"description": "If True, reuse one sandbox across all calls to this tool instance and delete it at process exit. Default False creates and deletes a fresh sandbox per call.",
|
||||
"title": "Persistent",
|
||||
"type": "boolean"
|
||||
},
|
||||
"sandbox_id": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Attach to an existing sandbox by id or name instead of creating a new one. The tool will never delete a sandbox it did not create.",
|
||||
"title": "Sandbox Id"
|
||||
},
|
||||
"sandbox_timeout": {
|
||||
"default": 60.0,
|
||||
"description": "Timeout in seconds for sandbox create/delete operations.",
|
||||
"title": "Sandbox Timeout",
|
||||
"type": "number"
|
||||
},
|
||||
"target": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona target region. Falls back to DAYTONA_TARGET env var.",
|
||||
"required": false,
|
||||
"title": "Target"
|
||||
}
|
||||
},
|
||||
"required": [],
|
||||
"title": "DaytonaExecTool",
|
||||
"type": "object"
|
||||
},
|
||||
"name": "DaytonaExecTool",
|
||||
"package_dependencies": [
|
||||
"daytona"
|
||||
],
|
||||
"run_params_schema": {
|
||||
"properties": {
|
||||
"command": {
|
||||
"description": "Shell command to execute in the sandbox.",
|
||||
"title": "Command",
|
||||
"type": "string"
|
||||
},
|
||||
"cwd": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Working directory to run the command in. Defaults to the sandbox work dir.",
|
||||
"title": "Cwd"
|
||||
},
|
||||
"env": {
|
||||
"anyOf": [
|
||||
{
|
||||
"additionalProperties": {
|
||||
"type": "string"
|
||||
},
|
||||
"type": "object"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Optional environment variables to set for this command.",
|
||||
"title": "Env"
|
||||
},
|
||||
"timeout": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "integer"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Maximum seconds to wait for the command to finish.",
|
||||
"title": "Timeout"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"command"
|
||||
],
|
||||
"title": "DaytonaExecToolSchema",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
{
|
||||
"description": "Perform filesystem operations inside a Daytona sandbox: read a file, write content to a path, append content to an existing file, list a directory, delete a path, make a directory, or fetch file metadata. For files larger than a few KB, create the file with action='write' and empty content, then send the body via multiple 'append' calls of ~4KB each to stay within tool-call payload limits.",
|
||||
"env_vars": [
|
||||
{
|
||||
"default": null,
|
||||
"description": "API key for Daytona sandbox service",
|
||||
"name": "DAYTONA_API_KEY",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"default": null,
|
||||
"description": "Daytona API base URL (optional)",
|
||||
"name": "DAYTONA_API_URL",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"default": null,
|
||||
"description": "Daytona target region (optional)",
|
||||
"name": "DAYTONA_TARGET",
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"humanized_name": "Daytona Sandbox Files",
|
||||
"init_params_schema": {
|
||||
"$defs": {
|
||||
"EnvVar": {
|
||||
"properties": {
|
||||
"default": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"title": "Default"
|
||||
},
|
||||
"description": {
|
||||
"title": "Description",
|
||||
"type": "string"
|
||||
},
|
||||
"name": {
|
||||
"title": "Name",
|
||||
"type": "string"
|
||||
},
|
||||
"required": {
|
||||
"default": true,
|
||||
"title": "Required",
|
||||
"type": "boolean"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"name",
|
||||
"description"
|
||||
],
|
||||
"title": "EnvVar",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
"description": "Read, write, and manage files inside a Daytona sandbox.\n\nNotes:\n - Most useful with `persistent=True` or an explicit `sandbox_id`. With the\n default ephemeral mode, files disappear when this tool call finishes.",
|
||||
"properties": {
|
||||
"api_key": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona API key. Falls back to DAYTONA_API_KEY env var.",
|
||||
"required": false,
|
||||
"title": "Api Key"
|
||||
},
|
||||
"api_url": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona API URL override. Falls back to DAYTONA_API_URL env var.",
|
||||
"required": false,
|
||||
"title": "Api Url"
|
||||
},
|
||||
"create_params": {
|
||||
"anyOf": [
|
||||
{
|
||||
"additionalProperties": true,
|
||||
"type": "object"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Optional kwargs forwarded to CreateSandboxFromSnapshotParams when creating a sandbox (e.g. language, snapshot, env_vars, labels).",
|
||||
"title": "Create Params"
|
||||
},
|
||||
"persistent": {
|
||||
"default": false,
|
||||
"description": "If True, reuse one sandbox across all calls to this tool instance and delete it at process exit. Default False creates and deletes a fresh sandbox per call.",
|
||||
"title": "Persistent",
|
||||
"type": "boolean"
|
||||
},
|
||||
"sandbox_id": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Attach to an existing sandbox by id or name instead of creating a new one. The tool will never delete a sandbox it did not create.",
|
||||
"title": "Sandbox Id"
|
||||
},
|
||||
"sandbox_timeout": {
|
||||
"default": 60.0,
|
||||
"description": "Timeout in seconds for sandbox create/delete operations.",
|
||||
"title": "Sandbox Timeout",
|
||||
"type": "number"
|
||||
},
|
||||
"target": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona target region. Falls back to DAYTONA_TARGET env var.",
|
||||
"required": false,
|
||||
"title": "Target"
|
||||
}
|
||||
},
|
||||
"required": [],
|
||||
"title": "DaytonaFileTool",
|
||||
"type": "object"
|
||||
},
|
||||
"name": "DaytonaFileTool",
|
||||
"package_dependencies": [
|
||||
"daytona"
|
||||
],
|
||||
"run_params_schema": {
|
||||
"properties": {
|
||||
"action": {
|
||||
"description": "The filesystem action to perform: 'read' (returns file contents), 'write' (create or replace a file with content), 'append' (append content to an existing file \u2014 use this for writing large files in chunks to avoid hitting tool-call size limits), 'list' (lists a directory), 'delete' (removes a file/dir), 'mkdir' (creates a directory), 'info' (returns file metadata).",
|
||||
"enum": [
|
||||
"read",
|
||||
"write",
|
||||
"append",
|
||||
"list",
|
||||
"delete",
|
||||
"mkdir",
|
||||
"info"
|
||||
],
|
||||
"title": "Action",
|
||||
"type": "string"
|
||||
},
|
||||
"binary": {
|
||||
"default": false,
|
||||
"description": "For 'write': treat content as base64 and upload raw bytes. For 'read': return contents as base64 instead of decoded utf-8.",
|
||||
"title": "Binary",
|
||||
"type": "boolean"
|
||||
},
|
||||
"content": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Content to write or append. If omitted for 'write', an empty file is created. For files larger than a few KB, prefer one 'write' with empty content followed by multiple 'append' calls of ~4KB each to stay within tool-call payload limits.",
|
||||
"title": "Content"
|
||||
},
|
||||
"mode": {
|
||||
"default": "0755",
|
||||
"description": "For action='mkdir': octal permission string (default 0755).",
|
||||
"title": "Mode",
|
||||
"type": "string"
|
||||
},
|
||||
"path": {
|
||||
"description": "Absolute path inside the sandbox.",
|
||||
"title": "Path",
|
||||
"type": "string"
|
||||
},
|
||||
"recursive": {
|
||||
"default": false,
|
||||
"description": "For action='delete': remove directories recursively.",
|
||||
"title": "Recursive",
|
||||
"type": "boolean"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"action",
|
||||
"path"
|
||||
],
|
||||
"title": "DaytonaFileToolSchema",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
{
|
||||
"description": "Execute a block of Python code inside a Daytona sandbox and return the exit code, captured stdout, and any produced artifacts. Use this for data processing, quick scripts, or analysis that should run in an isolated environment.",
|
||||
"env_vars": [
|
||||
{
|
||||
"default": null,
|
||||
"description": "API key for Daytona sandbox service",
|
||||
"name": "DAYTONA_API_KEY",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"default": null,
|
||||
"description": "Daytona API base URL (optional)",
|
||||
"name": "DAYTONA_API_URL",
|
||||
"required": false
|
||||
},
|
||||
{
|
||||
"default": null,
|
||||
"description": "Daytona target region (optional)",
|
||||
"name": "DAYTONA_TARGET",
|
||||
"required": false
|
||||
}
|
||||
],
|
||||
"humanized_name": "Daytona Sandbox Python",
|
||||
"init_params_schema": {
|
||||
"$defs": {
|
||||
"EnvVar": {
|
||||
"properties": {
|
||||
"default": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"title": "Default"
|
||||
},
|
||||
"description": {
|
||||
"title": "Description",
|
||||
"type": "string"
|
||||
},
|
||||
"name": {
|
||||
"title": "Name",
|
||||
"type": "string"
|
||||
},
|
||||
"required": {
|
||||
"default": true,
|
||||
"title": "Required",
|
||||
"type": "boolean"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"name",
|
||||
"description"
|
||||
],
|
||||
"title": "EnvVar",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
"description": "Run Python source inside a Daytona sandbox.",
|
||||
"properties": {
|
||||
"api_key": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona API key. Falls back to DAYTONA_API_KEY env var.",
|
||||
"required": false,
|
||||
"title": "Api Key"
|
||||
},
|
||||
"api_url": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona API URL override. Falls back to DAYTONA_API_URL env var.",
|
||||
"required": false,
|
||||
"title": "Api Url"
|
||||
},
|
||||
"create_params": {
|
||||
"anyOf": [
|
||||
{
|
||||
"additionalProperties": true,
|
||||
"type": "object"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Optional kwargs forwarded to CreateSandboxFromSnapshotParams when creating a sandbox (e.g. language, snapshot, env_vars, labels).",
|
||||
"title": "Create Params"
|
||||
},
|
||||
"persistent": {
|
||||
"default": false,
|
||||
"description": "If True, reuse one sandbox across all calls to this tool instance and delete it at process exit. Default False creates and deletes a fresh sandbox per call.",
|
||||
"title": "Persistent",
|
||||
"type": "boolean"
|
||||
},
|
||||
"sandbox_id": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Attach to an existing sandbox by id or name instead of creating a new one. The tool will never delete a sandbox it did not create.",
|
||||
"title": "Sandbox Id"
|
||||
},
|
||||
"sandbox_timeout": {
|
||||
"default": 60.0,
|
||||
"description": "Timeout in seconds for sandbox create/delete operations.",
|
||||
"title": "Sandbox Timeout",
|
||||
"type": "number"
|
||||
},
|
||||
"target": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "string"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"description": "Daytona target region. Falls back to DAYTONA_TARGET env var.",
|
||||
"required": false,
|
||||
"title": "Target"
|
||||
}
|
||||
},
|
||||
"required": [],
|
||||
"title": "DaytonaPythonTool",
|
||||
"type": "object"
|
||||
},
|
||||
"name": "DaytonaPythonTool",
|
||||
"package_dependencies": [
|
||||
"daytona"
|
||||
],
|
||||
"run_params_schema": {
|
||||
"properties": {
|
||||
"argv": {
|
||||
"anyOf": [
|
||||
{
|
||||
"items": {
|
||||
"type": "string"
|
||||
},
|
||||
"type": "array"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Optional argv passed to the script (forwarded as params.argv).",
|
||||
"title": "Argv"
|
||||
},
|
||||
"code": {
|
||||
"description": "Python source to execute inside the sandbox.",
|
||||
"title": "Code",
|
||||
"type": "string"
|
||||
},
|
||||
"env": {
|
||||
"anyOf": [
|
||||
{
|
||||
"additionalProperties": {
|
||||
"type": "string"
|
||||
},
|
||||
"type": "object"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Optional environment variables for the run (forwarded as params.env).",
|
||||
"title": "Env"
|
||||
},
|
||||
"timeout": {
|
||||
"anyOf": [
|
||||
{
|
||||
"type": "integer"
|
||||
},
|
||||
{
|
||||
"type": "null"
|
||||
}
|
||||
],
|
||||
"default": null,
|
||||
"description": "Maximum seconds to wait for the code to finish.",
|
||||
"title": "Timeout"
|
||||
}
|
||||
},
|
||||
"required": [
|
||||
"code"
|
||||
],
|
||||
"title": "DaytonaPythonToolSchema",
|
||||
"type": "object"
|
||||
}
|
||||
},
|
||||
{
|
||||
"description": "A tool that can be used to recursively list a directory's content.",
|
||||
"env_vars": [],
|
||||
|
||||
@@ -24,7 +24,7 @@ dependencies = [
|
||||
"tokenizers>=0.21,<1",
|
||||
"openpyxl~=3.1.5",
|
||||
# Authentication and Security
|
||||
"python-dotenv~=1.1.1",
|
||||
"python-dotenv>=1.2.2,<2",
|
||||
"pyjwt>=2.9.0,<3",
|
||||
# TUI
|
||||
"textual>=7.5.0",
|
||||
@@ -55,7 +55,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
|
||||
|
||||
[project.optional-dependencies]
|
||||
tools = [
|
||||
"crewai-tools==1.14.2",
|
||||
"crewai-tools==1.14.3a2",
|
||||
]
|
||||
embeddings = [
|
||||
"tiktoken~=0.8.0"
|
||||
|
||||
@@ -1,10 +1,9 @@
|
||||
import contextvars
|
||||
import threading
|
||||
from typing import Any
|
||||
import urllib.request
|
||||
import importlib
|
||||
import sys
|
||||
from typing import TYPE_CHECKING, Annotated, Any
|
||||
import warnings
|
||||
|
||||
from pydantic import PydanticUserError
|
||||
from pydantic import Field, PydanticUserError
|
||||
|
||||
from crewai.agent.core import Agent
|
||||
from crewai.agent.planning_config import PlanningConfig
|
||||
@@ -20,7 +19,10 @@ from crewai.state.checkpoint_config import CheckpointConfig # noqa: F401
|
||||
from crewai.task import Task
|
||||
from crewai.tasks.llm_guardrail import LLMGuardrail
|
||||
from crewai.tasks.task_output import TaskOutput
|
||||
from crewai.telemetry.telemetry import Telemetry
|
||||
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from crewai.memory.unified_memory import Memory
|
||||
|
||||
|
||||
def _suppress_pydantic_deprecation_warnings() -> None:
|
||||
@@ -46,38 +48,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
|
||||
|
||||
_suppress_pydantic_deprecation_warnings()
|
||||
|
||||
__version__ = "1.14.2"
|
||||
_telemetry_submitted = False
|
||||
|
||||
|
||||
def _track_install() -> None:
|
||||
"""Track package installation/first-use via Scarf analytics."""
|
||||
global _telemetry_submitted
|
||||
|
||||
if _telemetry_submitted or Telemetry._is_telemetry_disabled():
|
||||
return
|
||||
|
||||
try:
|
||||
pixel_url = "https://api.scarf.sh/v2/packages/CrewAI/crewai/docs/00f2dad1-8334-4a39-934e-003b2e1146db"
|
||||
|
||||
req = urllib.request.Request(pixel_url) # noqa: S310
|
||||
req.add_header("User-Agent", f"CrewAI-Python/{__version__}")
|
||||
|
||||
with urllib.request.urlopen(req, timeout=2): # noqa: S310
|
||||
_telemetry_submitted = True
|
||||
except Exception: # noqa: S110
|
||||
pass
|
||||
|
||||
|
||||
def _track_install_async() -> None:
|
||||
"""Track installation in background thread to avoid blocking imports."""
|
||||
if not Telemetry._is_telemetry_disabled():
|
||||
ctx = contextvars.copy_context()
|
||||
thread = threading.Thread(target=ctx.run, args=(_track_install,), daemon=True)
|
||||
thread.start()
|
||||
|
||||
|
||||
_track_install_async()
|
||||
__version__ = "1.14.3a2"
|
||||
|
||||
_LAZY_IMPORTS: dict[str, tuple[str, str]] = {
|
||||
"Memory": ("crewai.memory.unified_memory", "Memory"),
|
||||
@@ -88,8 +59,6 @@ def __getattr__(name: str) -> Any:
|
||||
"""Lazily import heavy modules (e.g. Memory → lancedb) on first access."""
|
||||
if name in _LAZY_IMPORTS:
|
||||
module_path, attr = _LAZY_IMPORTS[name]
|
||||
import importlib
|
||||
|
||||
mod = importlib.import_module(module_path)
|
||||
val = getattr(mod, attr)
|
||||
globals()[name] = val
|
||||
@@ -147,8 +116,6 @@ try:
|
||||
except ImportError:
|
||||
pass
|
||||
|
||||
import sys
|
||||
|
||||
_full_namespace = {
|
||||
**_base_namespace,
|
||||
"ToolsHandler": _ToolsHandler,
|
||||
@@ -191,10 +158,6 @@ try:
|
||||
Flow.model_rebuild(force=True, _types_namespace=_full_namespace)
|
||||
_AgentExecutor.model_rebuild(force=True, _types_namespace=_full_namespace)
|
||||
|
||||
from typing import Annotated
|
||||
|
||||
from pydantic import Field
|
||||
|
||||
from crewai.state.runtime import RuntimeState
|
||||
|
||||
Entity = Annotated[
|
||||
|
||||
@@ -29,7 +29,7 @@ from pydantic import (
|
||||
model_validator,
|
||||
)
|
||||
from pydantic.functional_serializers import PlainSerializer
|
||||
from typing_extensions import Self
|
||||
from typing_extensions import Self, TypeIs
|
||||
|
||||
from crewai.agent.planning_config import PlanningConfig
|
||||
from crewai.agent.utils import (
|
||||
@@ -133,6 +133,13 @@ _EXECUTOR_CLASS_MAP: dict[str, type] = {
|
||||
}
|
||||
|
||||
|
||||
def _is_resuming_agent_executor(
|
||||
executor: CrewAgentExecutor | AgentExecutor | None,
|
||||
) -> TypeIs[AgentExecutor]:
|
||||
"""Type guard: True when the executor is resuming from a checkpoint."""
|
||||
return isinstance(executor, AgentExecutor) and executor._resuming
|
||||
|
||||
|
||||
def _validate_executor_class(value: Any) -> Any:
|
||||
if isinstance(value, str):
|
||||
cls = _EXECUTOR_CLASS_MAP.get(value)
|
||||
@@ -1366,24 +1373,42 @@ class Agent(BaseAgent):
|
||||
|
||||
prompt, stop_words, rpm_limit_fn = self._build_execution_prompt(raw_tools)
|
||||
|
||||
executor = AgentExecutor(
|
||||
llm=cast(BaseLLM, self.llm),
|
||||
agent=self,
|
||||
prompt=prompt,
|
||||
max_iter=self.max_iter,
|
||||
tools=parsed_tools,
|
||||
tools_names=get_tool_names(parsed_tools),
|
||||
stop_words=stop_words,
|
||||
tools_description=render_text_description_and_args(parsed_tools),
|
||||
tools_handler=self.tools_handler,
|
||||
original_tools=raw_tools,
|
||||
step_callback=self.step_callback,
|
||||
function_calling_llm=self.function_calling_llm,
|
||||
respect_context_window=self.respect_context_window,
|
||||
request_within_rpm_limit=rpm_limit_fn,
|
||||
callbacks=[TokenCalcHandler(self._token_process)],
|
||||
response_model=response_format,
|
||||
)
|
||||
if _is_resuming_agent_executor(self.agent_executor):
|
||||
executor = self.agent_executor
|
||||
executor.tools = parsed_tools
|
||||
executor.tools_names = get_tool_names(parsed_tools)
|
||||
executor.tools_description = render_text_description_and_args(parsed_tools)
|
||||
executor.original_tools = raw_tools
|
||||
executor.prompt = prompt
|
||||
executor.response_model = response_format
|
||||
executor.stop_words = stop_words
|
||||
executor.tools_handler = self.tools_handler
|
||||
executor.step_callback = self.step_callback
|
||||
executor.function_calling_llm = cast(
|
||||
BaseLLM | None, self.function_calling_llm
|
||||
)
|
||||
executor.respect_context_window = self.respect_context_window
|
||||
executor.request_within_rpm_limit = rpm_limit_fn
|
||||
executor.callbacks = [TokenCalcHandler(self._token_process)]
|
||||
else:
|
||||
executor = AgentExecutor(
|
||||
llm=cast(BaseLLM, self.llm),
|
||||
agent=self,
|
||||
prompt=prompt,
|
||||
max_iter=self.max_iter,
|
||||
tools=parsed_tools,
|
||||
tools_names=get_tool_names(parsed_tools),
|
||||
stop_words=stop_words,
|
||||
tools_description=render_text_description_and_args(parsed_tools),
|
||||
tools_handler=self.tools_handler,
|
||||
original_tools=raw_tools,
|
||||
step_callback=self.step_callback,
|
||||
function_calling_llm=self.function_calling_llm,
|
||||
respect_context_window=self.respect_context_window,
|
||||
request_within_rpm_limit=rpm_limit_fn,
|
||||
callbacks=[TokenCalcHandler(self._token_process)],
|
||||
response_model=response_format,
|
||||
)
|
||||
|
||||
all_files: dict[str, Any] = {}
|
||||
if isinstance(messages, str):
|
||||
@@ -1504,14 +1529,17 @@ class Agent(BaseAgent):
|
||||
)
|
||||
|
||||
try:
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=LiteAgentExecutionStartedEvent(
|
||||
if self.checkpoint_kickoff_event_id is not None:
|
||||
self._kickoff_event_id = self.checkpoint_kickoff_event_id
|
||||
self.checkpoint_kickoff_event_id = None
|
||||
else:
|
||||
started_event = LiteAgentExecutionStartedEvent(
|
||||
agent_info=agent_info,
|
||||
tools=parsed_tools,
|
||||
messages=messages,
|
||||
),
|
||||
)
|
||||
)
|
||||
crewai_event_bus.emit(self, event=started_event)
|
||||
self._kickoff_event_id = started_event.event_id
|
||||
|
||||
output = self._execute_and_build_output(executor, inputs, response_format)
|
||||
return self._finalize_kickoff(
|
||||
@@ -1808,14 +1836,17 @@ class Agent(BaseAgent):
|
||||
)
|
||||
|
||||
try:
|
||||
crewai_event_bus.emit(
|
||||
self,
|
||||
event=LiteAgentExecutionStartedEvent(
|
||||
if self.checkpoint_kickoff_event_id is not None:
|
||||
self._kickoff_event_id = self.checkpoint_kickoff_event_id
|
||||
self.checkpoint_kickoff_event_id = None
|
||||
else:
|
||||
started_event = LiteAgentExecutionStartedEvent(
|
||||
agent_info=agent_info,
|
||||
tools=parsed_tools,
|
||||
messages=messages,
|
||||
),
|
||||
)
|
||||
)
|
||||
crewai_event_bus.emit(self, event=started_event)
|
||||
self._kickoff_event_id = started_event.event_id
|
||||
|
||||
output = await self._execute_and_build_output_async(
|
||||
executor, inputs, response_format
|
||||
|
||||
@@ -28,6 +28,9 @@ from crewai.agents.agent_builder.base_agent_executor import BaseAgentExecutor
|
||||
from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
|
||||
from crewai.agents.cache.cache_handler import CacheHandler
|
||||
from crewai.agents.tools_handler import ToolsHandler
|
||||
from crewai.events.base_events import set_emission_counter
|
||||
from crewai.events.event_bus import crewai_event_bus
|
||||
from crewai.events.event_context import restore_event_scope, set_last_event_id
|
||||
from crewai.knowledge.knowledge import Knowledge
|
||||
from crewai.knowledge.knowledge_config import KnowledgeConfig
|
||||
from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
|
||||
@@ -51,6 +54,7 @@ from crewai.utilities.string_utils import interpolate_only
|
||||
if TYPE_CHECKING:
|
||||
from crewai.context import ExecutionContext
|
||||
from crewai.crew import Crew
|
||||
from crewai.state.runtime import RuntimeState
|
||||
|
||||
|
||||
def _validate_crew_ref(value: Any) -> Any:
|
||||
@@ -219,6 +223,7 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
|
||||
_original_goal: str | None = PrivateAttr(default=None)
|
||||
_original_backstory: str | None = PrivateAttr(default=None)
|
||||
_token_process: TokenProcess = PrivateAttr(default_factory=TokenProcess)
|
||||
_kickoff_event_id: str | None = PrivateAttr(default=None)
|
||||
id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True)
|
||||
role: str = Field(description="Role of the agent")
|
||||
goal: str = Field(description="Objective of the agent")
|
||||
@@ -335,30 +340,90 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
|
||||
min_length=1,
|
||||
)
|
||||
execution_context: ExecutionContext | None = Field(default=None)
|
||||
checkpoint_kickoff_event_id: str | None = Field(default=None)
|
||||
|
||||
@classmethod
|
||||
def from_checkpoint(cls, config: CheckpointConfig) -> Self:
|
||||
"""Restore an Agent from a checkpoint.
|
||||
"""Restore an Agent from a checkpoint, ready to resume via kickoff().
|
||||
|
||||
Args:
|
||||
config: Checkpoint configuration with ``restore_from`` set.
|
||||
config: Checkpoint configuration with ``restore_from`` set to
|
||||
the path of the checkpoint to load.
|
||||
|
||||
Returns:
|
||||
An Agent instance. Call kickoff() to resume execution.
|
||||
"""
|
||||
from crewai.context import apply_execution_context
|
||||
from crewai.state.runtime import RuntimeState
|
||||
|
||||
state = RuntimeState.from_checkpoint(config, context={"from_checkpoint": True})
|
||||
crewai_event_bus.set_runtime_state(state)
|
||||
for entity in state.root:
|
||||
if isinstance(entity, cls):
|
||||
if entity.execution_context is not None:
|
||||
apply_execution_context(entity.execution_context)
|
||||
if entity.agent_executor is not None:
|
||||
entity.agent_executor.agent = entity
|
||||
entity.agent_executor._resuming = True
|
||||
entity._restore_runtime(state)
|
||||
return entity
|
||||
raise ValueError(
|
||||
f"No {cls.__name__} found in checkpoint: {config.restore_from}"
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def fork(cls, config: CheckpointConfig, branch: str | None = None) -> Self:
|
||||
"""Fork an Agent from a checkpoint, creating a new execution branch.
|
||||
|
||||
Args:
|
||||
config: Checkpoint configuration with ``restore_from`` set.
|
||||
branch: Branch label for the fork. Auto-generated if not provided.
|
||||
|
||||
Returns:
|
||||
An Agent instance on the new branch. Call kickoff() to run.
|
||||
"""
|
||||
agent = cls.from_checkpoint(config)
|
||||
state = crewai_event_bus._runtime_state
|
||||
if state is None:
|
||||
raise RuntimeError("Cannot fork: no runtime state on the event bus.")
|
||||
state.fork(branch)
|
||||
return agent
|
||||
|
||||
def _restore_runtime(self, state: RuntimeState) -> None:
|
||||
"""Re-create runtime objects after restoring from a checkpoint.
|
||||
|
||||
Args:
|
||||
state: The RuntimeState containing the event record.
|
||||
"""
|
||||
if self.agent_executor is not None:
|
||||
self.agent_executor.agent = self
|
||||
self.agent_executor._resuming = True
|
||||
if self.checkpoint_kickoff_event_id is not None:
|
||||
self._kickoff_event_id = self.checkpoint_kickoff_event_id
|
||||
self._restore_event_scope(state)
|
||||
|
||||
def _restore_event_scope(self, state: RuntimeState) -> None:
|
||||
"""Rebuild the event scope stack from the checkpoint's event record.
|
||||
|
||||
Args:
|
||||
state: The RuntimeState containing the event record.
|
||||
"""
|
||||
stack: list[tuple[str, str]] = []
|
||||
kickoff_id = self._kickoff_event_id
|
||||
if kickoff_id:
|
||||
stack.append((kickoff_id, "lite_agent_execution_started"))
|
||||
|
||||
restore_event_scope(tuple(stack))
|
||||
|
||||
last_event_id: str | None = None
|
||||
max_seq = 0
|
||||
for node in state.event_record.nodes.values():
|
||||
seq = node.event.emission_sequence or 0
|
||||
if seq > max_seq:
|
||||
max_seq = seq
|
||||
last_event_id = node.event.event_id
|
||||
if last_event_id is not None:
|
||||
set_last_event_id(last_event_id)
|
||||
if max_seq > 0:
|
||||
set_emission_counter(max_seq)
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def process_model_config(cls, values: Any) -> dict[str, Any]:
|
||||
|
||||
@@ -106,17 +106,50 @@ def _parse_checkpoint_json(raw: str, source: str) -> dict[str, Any]:
|
||||
"name": entity.get("name"),
|
||||
"id": entity.get("id"),
|
||||
}
|
||||
|
||||
raw_agents = entity.get("agents", [])
|
||||
agents_by_id: dict[str, dict[str, Any]] = {}
|
||||
parsed_agents: list[dict[str, Any]] = []
|
||||
for ag in raw_agents:
|
||||
agent_info: dict[str, Any] = {
|
||||
"id": ag.get("id", ""),
|
||||
"role": ag.get("role", ""),
|
||||
"goal": ag.get("goal", ""),
|
||||
}
|
||||
parsed_agents.append(agent_info)
|
||||
if ag.get("id"):
|
||||
agents_by_id[str(ag["id"])] = agent_info
|
||||
if parsed_agents:
|
||||
info["agents"] = parsed_agents
|
||||
|
||||
if tasks:
|
||||
info["tasks_completed"] = completed
|
||||
info["tasks_total"] = len(tasks)
|
||||
info["tasks"] = [
|
||||
{
|
||||
parsed_tasks: list[dict[str, Any]] = []
|
||||
for t in tasks:
|
||||
task_info: dict[str, Any] = {
|
||||
"description": t.get("description", ""),
|
||||
"completed": t.get("output") is not None,
|
||||
"output": (t.get("output") or {}).get("raw", ""),
|
||||
}
|
||||
for t in tasks
|
||||
]
|
||||
task_agent = t.get("agent")
|
||||
if isinstance(task_agent, dict):
|
||||
task_info["agent_role"] = task_agent.get("role", "")
|
||||
task_info["agent_id"] = task_agent.get("id", "")
|
||||
elif isinstance(task_agent, str) and task_agent in agents_by_id:
|
||||
task_info["agent_role"] = agents_by_id[task_agent].get("role", "")
|
||||
task_info["agent_id"] = task_agent
|
||||
parsed_tasks.append(task_info)
|
||||
info["tasks"] = parsed_tasks
|
||||
|
||||
if entity.get("entity_type") == "flow":
|
||||
completed_methods = entity.get("checkpoint_completed_methods")
|
||||
if completed_methods:
|
||||
info["completed_methods"] = sorted(completed_methods)
|
||||
state = entity.get("checkpoint_state")
|
||||
if isinstance(state, dict):
|
||||
info["flow_state"] = state
|
||||
|
||||
parsed_entities.append(info)
|
||||
|
||||
inputs: dict[str, Any] = {}
|
||||
@@ -439,6 +472,8 @@ def _entity_type_from_meta(meta: dict[str, Any]) -> str:
|
||||
for ent in meta.get("entities", []):
|
||||
if ent.get("type") == "flow":
|
||||
return "flow"
|
||||
if ent.get("type") == "agent":
|
||||
return "agent"
|
||||
return "crew"
|
||||
|
||||
|
||||
@@ -472,6 +507,11 @@ def resume_checkpoint(location: str, checkpoint_id: str | None) -> None:
|
||||
|
||||
flow = Flow.from_checkpoint(config)
|
||||
result = asyncio.run(flow.kickoff_async(inputs=inputs))
|
||||
elif entity_type == "agent":
|
||||
from crewai.agent import Agent
|
||||
|
||||
agent = Agent.from_checkpoint(config)
|
||||
result = asyncio.run(agent.akickoff(messages="Resume execution."))
|
||||
else:
|
||||
from crewai.crew import Crew
|
||||
|
||||
|
||||
@@ -3,17 +3,20 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import defaultdict
|
||||
from datetime import datetime
|
||||
from typing import Any, ClassVar, Literal
|
||||
|
||||
from textual.app import App, ComposeResult
|
||||
from textual.binding import Binding
|
||||
from textual.containers import Horizontal, Vertical, VerticalScroll
|
||||
from textual.widgets import (
|
||||
Button,
|
||||
Collapsible,
|
||||
Footer,
|
||||
Header,
|
||||
Input,
|
||||
Static,
|
||||
TabPane,
|
||||
TabbedContent,
|
||||
TextArea,
|
||||
Tree,
|
||||
)
|
||||
@@ -32,6 +35,22 @@ _TERTIARY = "#ffffff"
|
||||
_DIM = "#888888"
|
||||
_BG_DARK = "#0d1117"
|
||||
_BG_PANEL = "#161b22"
|
||||
_ACCENT = "#c9a227"
|
||||
_SUCCESS = "#3fb950"
|
||||
_PENDING = "#e3b341"
|
||||
|
||||
_ENTITY_ICONS: dict[str, str] = {
|
||||
"flow": "◆",
|
||||
"crew": "●",
|
||||
"agent": "◈",
|
||||
"unknown": "○",
|
||||
}
|
||||
_ENTITY_COLORS: dict[str, str] = {
|
||||
"flow": _ACCENT,
|
||||
"crew": _SECONDARY,
|
||||
"agent": _PRIMARY,
|
||||
"unknown": _DIM,
|
||||
}
|
||||
|
||||
|
||||
def _load_entries(location: str) -> list[dict[str, Any]]:
|
||||
@@ -40,8 +59,27 @@ def _load_entries(location: str) -> list[dict[str, Any]]:
|
||||
return _list_json(location)
|
||||
|
||||
|
||||
def _human_ts(ts: str) -> str:
|
||||
"""Turn '2026-04-17 17:05:00' into a short relative label."""
|
||||
try:
|
||||
dt = datetime.strptime(ts, "%Y-%m-%d %H:%M:%S")
|
||||
except ValueError:
|
||||
return ts
|
||||
now = datetime.now()
|
||||
delta = now.date() - dt.date()
|
||||
hour = dt.hour % 12 or 12
|
||||
ampm = "am" if dt.hour < 12 else "pm"
|
||||
time_str = f"{hour}:{dt.minute:02d}{ampm}"
|
||||
if delta.days == 0:
|
||||
return time_str
|
||||
if delta.days == 1:
|
||||
return f"yest {time_str}"
|
||||
if delta.days < 7:
|
||||
return f"{dt.strftime('%a').lower()} {time_str}"
|
||||
return f"{dt.strftime('%b')} {dt.day}"
|
||||
|
||||
|
||||
def _short_id(name: str) -> str:
|
||||
"""Shorten a checkpoint name for tree display."""
|
||||
if len(name) > 30:
|
||||
return name[:27] + "..."
|
||||
return name
|
||||
@@ -63,29 +101,29 @@ def _entry_id(entry: dict[str, Any]) -> str:
|
||||
return name
|
||||
|
||||
|
||||
def _build_entity_header(ent: dict[str, Any]) -> str:
|
||||
"""Build rich text header for an entity (progress bar only)."""
|
||||
lines: list[str] = []
|
||||
tasks = ent.get("tasks")
|
||||
if isinstance(tasks, list):
|
||||
completed = ent.get("tasks_completed", 0)
|
||||
total = ent.get("tasks_total", 0)
|
||||
pct = int(completed / total * 100) if total else 0
|
||||
bar_len = 20
|
||||
filled = int(bar_len * completed / total) if total else 0
|
||||
bar = f"[{_PRIMARY}]{'█' * filled}[/][{_DIM}]{'░' * (bar_len - filled)}[/]"
|
||||
lines.append(f"{bar} {completed}/{total} tasks ({pct}%)")
|
||||
return "\n".join(lines)
|
||||
def _build_progress_bar(completed: int, total: int, width: int = 20) -> str:
|
||||
if total == 0:
|
||||
return f"[{_DIM}]{'░' * width}[/] 0/0"
|
||||
pct = int(completed / total * 100)
|
||||
filled = int(width * completed / total)
|
||||
color = _SUCCESS if completed == total else _PRIMARY
|
||||
bar = f"[{color}]{'█' * filled}[/][{_DIM}]{'░' * (width - filled)}[/]"
|
||||
return f"{bar} {completed}/{total} ({pct}%)"
|
||||
|
||||
|
||||
def _entity_icon(etype: str) -> str:
|
||||
icon = _ENTITY_ICONS.get(etype, _ENTITY_ICONS["unknown"])
|
||||
color = _ENTITY_COLORS.get(etype, _DIM)
|
||||
return f"[{color}]{icon}[/]"
|
||||
|
||||
|
||||
# Return type: (location, action, inputs, task_output_overrides, entity_type)
|
||||
_TuiResult = (
|
||||
tuple[
|
||||
str,
|
||||
str,
|
||||
dict[str, Any] | None,
|
||||
dict[int, str] | None,
|
||||
Literal["crew", "flow"],
|
||||
Literal["crew", "flow", "agent"],
|
||||
]
|
||||
| None
|
||||
)
|
||||
@@ -122,7 +160,7 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
height: 1fr;
|
||||
}}
|
||||
#tree-panel {{
|
||||
width: 45%;
|
||||
width: 40%;
|
||||
background: {_BG_PANEL};
|
||||
border: round {_SECONDARY};
|
||||
padding: 0 1;
|
||||
@@ -132,41 +170,81 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
border: round {_PRIMARY};
|
||||
}}
|
||||
#detail-container {{
|
||||
width: 55%;
|
||||
width: 60%;
|
||||
height: 1fr;
|
||||
}}
|
||||
#detail-scroll {{
|
||||
height: 1fr;
|
||||
background: {_BG_PANEL};
|
||||
border: round {_SECONDARY};
|
||||
padding: 1 2;
|
||||
scrollbar-color: {_PRIMARY};
|
||||
}}
|
||||
#detail-scroll:focus-within {{
|
||||
border: round {_PRIMARY};
|
||||
}}
|
||||
#detail-header {{
|
||||
margin-bottom: 1;
|
||||
}}
|
||||
#status {{
|
||||
height: 1;
|
||||
padding: 0 2;
|
||||
color: {_DIM};
|
||||
}}
|
||||
#inputs-section {{
|
||||
display: none;
|
||||
height: auto;
|
||||
max-height: 8;
|
||||
padding: 0 1;
|
||||
#detail-tabs {{
|
||||
height: 1fr;
|
||||
}}
|
||||
#inputs-section.visible {{
|
||||
display: block;
|
||||
TabbedContent > ContentSwitcher {{
|
||||
background: {_BG_PANEL};
|
||||
height: 1fr;
|
||||
}}
|
||||
#inputs-label {{
|
||||
height: 1;
|
||||
TabPane {{
|
||||
padding: 0;
|
||||
}}
|
||||
Tabs {{
|
||||
background: {_BG_DARK};
|
||||
}}
|
||||
Tab {{
|
||||
background: {_BG_DARK};
|
||||
color: {_DIM};
|
||||
padding: 0 2;
|
||||
}}
|
||||
Tab.-active {{
|
||||
background: {_BG_PANEL};
|
||||
color: {_PRIMARY};
|
||||
}}
|
||||
Tab:hover {{
|
||||
color: {_TERTIARY};
|
||||
}}
|
||||
Underline > .underline--bar {{
|
||||
color: {_SECONDARY};
|
||||
background: {_BG_DARK};
|
||||
}}
|
||||
.tab-scroll {{
|
||||
background: {_BG_PANEL};
|
||||
height: 1fr;
|
||||
padding: 1 2;
|
||||
scrollbar-color: {_PRIMARY};
|
||||
}}
|
||||
.section-header {{
|
||||
padding: 0 0 0 1;
|
||||
margin: 1 0 0 0;
|
||||
}}
|
||||
.detail-line {{
|
||||
padding: 0 0 0 1;
|
||||
}}
|
||||
.task-label {{
|
||||
padding: 0 1;
|
||||
}}
|
||||
.task-output-editor {{
|
||||
height: auto;
|
||||
max-height: 10;
|
||||
margin: 0 1 1 3;
|
||||
border: round {_DIM};
|
||||
}}
|
||||
.task-output-editor:focus {{
|
||||
border: round {_PRIMARY};
|
||||
}}
|
||||
Collapsible {{
|
||||
background: {_BG_PANEL};
|
||||
padding: 0;
|
||||
margin: 0 0 1 1;
|
||||
}}
|
||||
CollapsibleTitle {{
|
||||
background: {_BG_DARK};
|
||||
color: {_TERTIARY};
|
||||
padding: 0 1;
|
||||
}}
|
||||
CollapsibleTitle:hover {{
|
||||
background: {_SECONDARY};
|
||||
}}
|
||||
.input-row {{
|
||||
height: 3;
|
||||
padding: 0 1;
|
||||
@@ -180,55 +258,9 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
.input-row Input {{
|
||||
width: 1fr;
|
||||
}}
|
||||
#no-inputs-label {{
|
||||
height: 1;
|
||||
.empty-state {{
|
||||
color: {_DIM};
|
||||
padding: 0 1;
|
||||
}}
|
||||
#action-buttons {{
|
||||
height: 3;
|
||||
align: right middle;
|
||||
padding: 0 1;
|
||||
display: none;
|
||||
}}
|
||||
#action-buttons.visible {{
|
||||
display: block;
|
||||
}}
|
||||
#action-buttons Button {{
|
||||
margin: 0 0 0 1;
|
||||
min-width: 10;
|
||||
}}
|
||||
#btn-resume {{
|
||||
background: {_SECONDARY};
|
||||
color: {_TERTIARY};
|
||||
}}
|
||||
#btn-resume:hover {{
|
||||
background: {_PRIMARY};
|
||||
}}
|
||||
#btn-fork {{
|
||||
background: {_PRIMARY};
|
||||
color: {_TERTIARY};
|
||||
}}
|
||||
#btn-fork:hover {{
|
||||
background: {_SECONDARY};
|
||||
}}
|
||||
.entity-title {{
|
||||
padding: 1 1 0 1;
|
||||
}}
|
||||
.entity-detail {{
|
||||
padding: 0 1;
|
||||
}}
|
||||
.task-output-editor {{
|
||||
height: auto;
|
||||
max-height: 10;
|
||||
margin: 0 1 1 1;
|
||||
border: round {_DIM};
|
||||
}}
|
||||
.task-output-editor:focus {{
|
||||
border: round {_PRIMARY};
|
||||
}}
|
||||
.task-label {{
|
||||
padding: 0 1;
|
||||
padding: 1;
|
||||
}}
|
||||
Tree {{
|
||||
background: {_BG_PANEL};
|
||||
@@ -242,6 +274,8 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
BINDINGS: ClassVar[list[Binding | tuple[str, str] | tuple[str, str, str]]] = [
|
||||
("q", "quit", "Quit"),
|
||||
("r", "refresh", "Refresh"),
|
||||
("e", "resume", "Resume"),
|
||||
("f", "fork", "Fork"),
|
||||
]
|
||||
|
||||
def __init__(self, location: str = "./.checkpoints") -> None:
|
||||
@@ -256,27 +290,49 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
yield Header(show_clock=False)
|
||||
with Horizontal(id="main-layout"):
|
||||
tree: Tree[dict[str, Any]] = Tree("Checkpoints", id="tree-panel")
|
||||
tree.show_root = True
|
||||
tree.show_root = False
|
||||
tree.guide_depth = 3
|
||||
yield tree
|
||||
with Vertical(id="detail-container"):
|
||||
yield Static("", id="status")
|
||||
with VerticalScroll(id="detail-scroll"):
|
||||
yield Static(
|
||||
f"[{_DIM}]Select a checkpoint from the tree[/]", # noqa: S608
|
||||
id="detail-header",
|
||||
)
|
||||
with Vertical(id="inputs-section"):
|
||||
yield Static("Inputs", id="inputs-label")
|
||||
with Horizontal(id="action-buttons"):
|
||||
yield Button("Resume", id="btn-resume")
|
||||
yield Button("Fork", id="btn-fork")
|
||||
with TabbedContent(id="detail-tabs"):
|
||||
with TabPane("Overview", id="tab-overview"):
|
||||
with VerticalScroll(classes="tab-scroll"):
|
||||
yield Static(
|
||||
f"[{_DIM}]Select a checkpoint from the tree[/]", # noqa: S608
|
||||
id="overview-empty",
|
||||
)
|
||||
with TabPane("Tasks", id="tab-tasks"):
|
||||
with VerticalScroll(classes="tab-scroll"):
|
||||
yield Static(
|
||||
f"[{_DIM}]Select a checkpoint to view tasks[/]",
|
||||
id="tasks-empty",
|
||||
)
|
||||
with TabPane("Inputs", id="tab-inputs"):
|
||||
with VerticalScroll(classes="tab-scroll"):
|
||||
yield Static(
|
||||
f"[{_DIM}]Select a checkpoint to view inputs[/]",
|
||||
id="inputs-empty",
|
||||
)
|
||||
yield Footer()
|
||||
|
||||
async def on_mount(self) -> None:
|
||||
self._refresh_tree()
|
||||
self.query_one("#tree-panel", Tree).root.expand()
|
||||
|
||||
# ── Tree building ──────────────────────────────────────────────
|
||||
|
||||
@staticmethod
|
||||
def _top_level_entity(entry: dict[str, Any]) -> tuple[str, str]:
|
||||
etype, ename = "unknown", ""
|
||||
for ent in entry.get("entities", []):
|
||||
t = ent.get("type", "unknown")
|
||||
if t == "flow":
|
||||
return "flow", ent.get("name") or ""
|
||||
if t == "crew" and etype != "crew":
|
||||
etype, ename = "crew", ent.get("name") or ""
|
||||
return etype, ename
|
||||
|
||||
def _refresh_tree(self) -> None:
|
||||
self._entries = _load_entries(self._location)
|
||||
self._selected_entry = None
|
||||
@@ -285,45 +341,57 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
tree.clear()
|
||||
|
||||
if not self._entries:
|
||||
self.query_one("#detail-header", Static).update(
|
||||
f"[{_DIM}]No checkpoints in {self._location}[/]"
|
||||
)
|
||||
self.query_one("#status", Static).update("")
|
||||
self.sub_title = self._location
|
||||
self.query_one("#status", Static).update("")
|
||||
return
|
||||
|
||||
# Group by branch
|
||||
branches: dict[str, list[dict[str, Any]]] = defaultdict(list)
|
||||
grouped: dict[tuple[str, str], dict[str, list[dict[str, Any]]]] = defaultdict(
|
||||
lambda: defaultdict(list)
|
||||
)
|
||||
for entry in self._entries:
|
||||
key = self._top_level_entity(entry)
|
||||
branch = entry.get("branch", "main")
|
||||
branches[branch].append(entry)
|
||||
|
||||
# Index checkpoint names to tree nodes so forks can attach
|
||||
node_by_name: dict[str, Any] = {}
|
||||
grouped[key][branch].append(entry)
|
||||
|
||||
def _make_label(e: dict[str, Any]) -> str:
|
||||
name = e.get("name", "")
|
||||
ts = e.get("ts") or ""
|
||||
trigger = e.get("trigger") or ""
|
||||
parts = [f"[bold]{_short_id(name)}[/]"]
|
||||
if ts:
|
||||
time_part = ts.split(" ")[-1] if " " in ts else ts
|
||||
time_part = ts.split(" ")[-1] if " " in ts else ts
|
||||
|
||||
total_c, total_t = 0, 0
|
||||
for ent in e.get("entities", []):
|
||||
c = ent.get("tasks_completed")
|
||||
t = ent.get("tasks_total")
|
||||
if c is not None and t is not None:
|
||||
total_c += c
|
||||
total_t += t
|
||||
|
||||
parts: list[str] = []
|
||||
if time_part:
|
||||
parts.append(f"[{_DIM}]{time_part}[/]")
|
||||
if trigger:
|
||||
parts.append(f"[{_PRIMARY}]{trigger}[/]")
|
||||
return " ".join(parts)
|
||||
if total_t:
|
||||
display_c = total_c
|
||||
if trigger == "task_started" and total_c < total_t:
|
||||
display_c = total_c + 1
|
||||
color = _SUCCESS if total_c == total_t else _DIM
|
||||
parts.append(f"[{color}]{display_c}/{total_t}[/]")
|
||||
return " ".join(parts) if parts else _short_id(e.get("name", ""))
|
||||
|
||||
fork_parents: set[str] = set()
|
||||
for branch_name, entries in branches.items():
|
||||
if branch_name == "main" or not entries:
|
||||
continue
|
||||
oldest = min(entries, key=lambda e: str(e.get("name", "")))
|
||||
first_parent = oldest.get("parent_id")
|
||||
if first_parent:
|
||||
fork_parents.add(str(first_parent))
|
||||
for branches in grouped.values():
|
||||
for branch_name, entries in branches.items():
|
||||
if branch_name == "main" or not entries:
|
||||
continue
|
||||
oldest = min(entries, key=lambda e: str(e.get("name", "")))
|
||||
first_parent = oldest.get("parent_id")
|
||||
if first_parent:
|
||||
fork_parents.add(str(first_parent))
|
||||
|
||||
node_by_name: dict[str, Any] = {}
|
||||
|
||||
def _add_checkpoint(parent_node: Any, e: dict[str, Any]) -> None:
|
||||
"""Add a checkpoint node — expandable only if a fork attaches to it."""
|
||||
cp_id = _entry_id(e)
|
||||
if cp_id in fork_parents:
|
||||
node = parent_node.add(
|
||||
@@ -333,67 +401,97 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
node = parent_node.add_leaf(_make_label(e), data=e)
|
||||
node_by_name[cp_id] = node
|
||||
|
||||
if "main" in branches:
|
||||
for entry in reversed(branches["main"]):
|
||||
_add_checkpoint(tree.root, entry)
|
||||
type_order = {"flow": 0, "crew": 1}
|
||||
sorted_keys = sorted(
|
||||
grouped.keys(), key=lambda k: (type_order.get(k[0], 9), k[1])
|
||||
)
|
||||
|
||||
for etype, ename in sorted_keys:
|
||||
branches = grouped[(etype, ename)]
|
||||
icon = _entity_icon(etype)
|
||||
color = _ENTITY_COLORS.get(etype, _DIM)
|
||||
total = sum(len(v) for v in branches.values())
|
||||
|
||||
label_parts = [f"{icon} [bold {color}]{etype.upper()}[/]"]
|
||||
if ename:
|
||||
label_parts.append(f"[bold]{ename}[/]")
|
||||
label_parts.append(f"[{_DIM}]({total})[/]")
|
||||
all_entries = [e for bl in branches.values() for e in bl]
|
||||
timestamps = [str(e.get("ts", "")) for e in all_entries if e.get("ts")]
|
||||
if timestamps:
|
||||
latest = max(timestamps)
|
||||
label_parts.append(f"[{_DIM}]{_human_ts(latest)}[/]")
|
||||
entity_label = " ".join(label_parts)
|
||||
entity_node = tree.root.add(entity_label, expand=True)
|
||||
|
||||
if "main" in branches:
|
||||
for entry in reversed(branches["main"]):
|
||||
_add_checkpoint(entity_node, entry)
|
||||
|
||||
fork_branches = [
|
||||
(name, sorted(entries, key=lambda e: str(e.get("name", ""))))
|
||||
for name, entries in branches.items()
|
||||
if name != "main"
|
||||
]
|
||||
remaining = fork_branches
|
||||
max_passes = len(remaining) + 1
|
||||
while remaining and max_passes > 0:
|
||||
max_passes -= 1
|
||||
deferred = []
|
||||
made_progress = False
|
||||
for branch_name, entries in remaining:
|
||||
first_parent = entries[0].get("parent_id") if entries else None
|
||||
if first_parent and str(first_parent) not in node_by_name:
|
||||
deferred.append((branch_name, entries))
|
||||
continue
|
||||
attach_to: Any = entity_node
|
||||
if first_parent:
|
||||
attach_to = node_by_name.get(str(first_parent), entity_node)
|
||||
branch_label = (
|
||||
f"[bold {_SECONDARY}]{branch_name}[/] "
|
||||
f"[{_DIM}]({len(entries)})[/]"
|
||||
)
|
||||
branch_node = attach_to.add(branch_label, expand=False)
|
||||
for entry in entries:
|
||||
_add_checkpoint(branch_node, entry)
|
||||
made_progress = True
|
||||
remaining = deferred
|
||||
if not made_progress:
|
||||
break
|
||||
|
||||
fork_branches = [
|
||||
(name, sorted(entries, key=lambda e: str(e.get("name", ""))))
|
||||
for name, entries in branches.items()
|
||||
if name != "main"
|
||||
]
|
||||
remaining = fork_branches
|
||||
max_passes = len(remaining) + 1
|
||||
while remaining and max_passes > 0:
|
||||
max_passes -= 1
|
||||
deferred = []
|
||||
made_progress = False
|
||||
for branch_name, entries in remaining:
|
||||
first_parent = entries[0].get("parent_id") if entries else None
|
||||
if first_parent and str(first_parent) not in node_by_name:
|
||||
deferred.append((branch_name, entries))
|
||||
continue
|
||||
attach_to: Any = tree.root
|
||||
if first_parent:
|
||||
attach_to = node_by_name.get(str(first_parent), tree.root)
|
||||
branch_label = (
|
||||
f"[bold {_SECONDARY}]{branch_name}[/] [{_DIM}]({len(entries)})[/]"
|
||||
f"[bold {_SECONDARY}]{branch_name}[/] "
|
||||
f"[{_DIM}]({len(entries)})[/] [{_DIM}](orphaned)[/]"
|
||||
)
|
||||
branch_node = attach_to.add(branch_label, expand=False)
|
||||
branch_node = entity_node.add(branch_label, expand=False)
|
||||
for entry in entries:
|
||||
_add_checkpoint(branch_node, entry)
|
||||
made_progress = True
|
||||
remaining = deferred
|
||||
if not made_progress:
|
||||
break
|
||||
|
||||
for branch_name, entries in remaining:
|
||||
branch_label = (
|
||||
f"[bold {_SECONDARY}]{branch_name}[/] "
|
||||
f"[{_DIM}]({len(entries)})[/] [{_DIM}](orphaned)[/]"
|
||||
)
|
||||
branch_node = tree.root.add(branch_label, expand=False)
|
||||
for entry in entries:
|
||||
_add_checkpoint(branch_node, entry)
|
||||
|
||||
count = len(self._entries)
|
||||
storage = "SQLite" if _is_sqlite(self._location) else "JSON"
|
||||
self.sub_title = self._location
|
||||
self.query_one("#status", Static).update(f" {count} checkpoint(s) | {storage}")
|
||||
|
||||
async def _show_detail(self, entry: dict[str, Any]) -> None:
|
||||
"""Update the detail panel for a checkpoint entry."""
|
||||
self._selected_entry = entry
|
||||
self.query_one("#action-buttons").add_class("visible")
|
||||
# ── Detail panel ───────────────────────────────────────────────
|
||||
|
||||
detail_scroll = self.query_one("#detail-scroll", VerticalScroll)
|
||||
|
||||
# Remove all dynamic children except the header — await so IDs are freed
|
||||
to_remove = [c for c in detail_scroll.children if c.id != "detail-header"]
|
||||
for child in to_remove:
|
||||
async def _clear_scroll(self, tab_id: str) -> VerticalScroll:
|
||||
tab = self.query_one(f"#{tab_id}", TabPane)
|
||||
scroll = tab.query_one(VerticalScroll)
|
||||
for child in list(scroll.children):
|
||||
await child.remove()
|
||||
return scroll
|
||||
|
||||
async def _show_detail(self, entry: dict[str, Any]) -> None:
|
||||
self._selected_entry = entry
|
||||
|
||||
await self._render_overview(entry)
|
||||
await self._render_tasks(entry)
|
||||
await self._render_inputs(entry.get("inputs", {}))
|
||||
|
||||
async def _render_overview(self, entry: dict[str, Any]) -> None:
|
||||
scroll = await self._clear_scroll("tab-overview")
|
||||
|
||||
# Header
|
||||
name = entry.get("name", "")
|
||||
ts = entry.get("ts") or "unknown"
|
||||
trigger = entry.get("trigger") or ""
|
||||
@@ -414,42 +512,115 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
header_lines.append(f" [bold]Branch[/] [{_SECONDARY}]{branch}[/]")
|
||||
if parent_id:
|
||||
header_lines.append(f" [bold]Parent[/] [{_DIM}]{parent_id}[/]")
|
||||
if "path" in entry:
|
||||
header_lines.append(f" [bold]Path[/] [{_DIM}]{entry['path']}[/]")
|
||||
if "db" in entry:
|
||||
header_lines.append(f" [bold]Database[/] [{_DIM}]{entry['db']}[/]")
|
||||
|
||||
self.query_one("#detail-header", Static).update("\n".join(header_lines))
|
||||
await scroll.mount(Static("\n".join(header_lines)))
|
||||
|
||||
for ent in entry.get("entities", []):
|
||||
etype = ent.get("type", "unknown")
|
||||
ename = ent.get("name", "unnamed")
|
||||
icon = _entity_icon(etype)
|
||||
color = _ENTITY_COLORS.get(etype, _DIM)
|
||||
|
||||
eid = str(ent.get("id", ""))[:8]
|
||||
entity_title = (
|
||||
f"\n{icon} [bold {color}]{etype.upper()}[/] [bold]{ename}[/]"
|
||||
)
|
||||
if eid:
|
||||
entity_title += f" [{_DIM}]{eid}…[/]"
|
||||
await scroll.mount(Static(entity_title, classes="section-header"))
|
||||
await scroll.mount(Static(f"[{_DIM}]{'─' * 46}[/]", classes="detail-line"))
|
||||
|
||||
if etype == "flow":
|
||||
methods = ent.get("completed_methods", [])
|
||||
if methods:
|
||||
method_list = ", ".join(f"[{_SUCCESS}]{m}[/]" for m in methods)
|
||||
await scroll.mount(
|
||||
Static(
|
||||
f" [bold]Methods[/] {method_list}",
|
||||
classes="detail-line",
|
||||
)
|
||||
)
|
||||
flow_state = ent.get("flow_state")
|
||||
if isinstance(flow_state, dict) and flow_state:
|
||||
state_parts: list[str] = []
|
||||
for k, v in list(flow_state.items())[:5]:
|
||||
sv = str(v)
|
||||
if len(sv) > 40:
|
||||
sv = sv[:37] + "..."
|
||||
state_parts.append(f"[{_DIM}]{k}[/]={sv}")
|
||||
await scroll.mount(
|
||||
Static(
|
||||
f" [bold]State[/] {', '.join(state_parts)}",
|
||||
classes="detail-line",
|
||||
)
|
||||
)
|
||||
|
||||
agents = ent.get("agents", [])
|
||||
if agents:
|
||||
agent_lines: list[Static] = []
|
||||
for ag in agents:
|
||||
role = ag.get("role", "unnamed")
|
||||
goal = ag.get("goal", "")
|
||||
if len(goal) > 60:
|
||||
goal = goal[:57] + "..."
|
||||
agent_line = f" {_entity_icon('agent')} [bold]{role}[/]"
|
||||
if goal:
|
||||
agent_line += f"\n [{_DIM}]{goal}[/]"
|
||||
agent_lines.append(Static(agent_line))
|
||||
|
||||
collapsible = Collapsible(
|
||||
*agent_lines,
|
||||
title=f"Agents ({len(agents)})",
|
||||
collapsed=len(agents) > 3,
|
||||
)
|
||||
await scroll.mount(collapsible)
|
||||
|
||||
async def _render_tasks(self, entry: dict[str, Any]) -> None:
|
||||
scroll = await self._clear_scroll("tab-tasks")
|
||||
|
||||
# Entity details and editable task outputs — mounted flat for scrolling
|
||||
self._task_output_ids = []
|
||||
flat_task_idx = 0
|
||||
has_tasks = False
|
||||
|
||||
for ent_idx, ent in enumerate(entry.get("entities", [])):
|
||||
etype = ent.get("type", "unknown")
|
||||
ename = ent.get("name", "unnamed")
|
||||
completed = ent.get("tasks_completed")
|
||||
total = ent.get("tasks_total")
|
||||
entity_title = f"[bold {_SECONDARY}]{etype}: {ename}[/]"
|
||||
if completed is not None and total is not None:
|
||||
entity_title += f" [{_DIM}]{completed}/{total} tasks[/]"
|
||||
await detail_scroll.mount(Static(entity_title, classes="entity-title"))
|
||||
await detail_scroll.mount(
|
||||
Static(_build_entity_header(ent), classes="entity-detail")
|
||||
)
|
||||
icon = _entity_icon(etype)
|
||||
color = _ENTITY_COLORS.get(etype, _DIM)
|
||||
|
||||
tasks = ent.get("tasks", [])
|
||||
if not tasks:
|
||||
continue
|
||||
has_tasks = True
|
||||
|
||||
completed = ent.get("tasks_completed", 0)
|
||||
total = ent.get("tasks_total", 0)
|
||||
|
||||
await scroll.mount(
|
||||
Static(
|
||||
f"{icon} [bold {color}]{ename}[/] "
|
||||
f"{_build_progress_bar(completed, total, width=16)}",
|
||||
classes="section-header",
|
||||
)
|
||||
)
|
||||
|
||||
for i, task in enumerate(tasks):
|
||||
desc = str(task.get("description", ""))
|
||||
if len(desc) > 55:
|
||||
desc = desc[:52] + "..."
|
||||
if len(desc) > 50:
|
||||
desc = desc[:47] + "..."
|
||||
agent_role = task.get("agent_role", "")
|
||||
|
||||
if task.get("completed"):
|
||||
icon = "[green]✓[/]"
|
||||
await detail_scroll.mount(
|
||||
Static(f" {icon} {i + 1}. {desc}", classes="task-label")
|
||||
)
|
||||
status_icon = f"[{_SUCCESS}]✓[/]"
|
||||
task_line = f" {status_icon} {i + 1}. {desc}"
|
||||
if agent_role:
|
||||
task_line += (
|
||||
f" [{_DIM}]→ {_entity_icon('agent')} {agent_role}[/]"
|
||||
)
|
||||
await scroll.mount(Static(task_line, classes="task-label"))
|
||||
output_text = task.get("output", "")
|
||||
editor_id = f"task-output-{ent_idx}-{i}"
|
||||
await detail_scroll.mount(
|
||||
await scroll.mount(
|
||||
TextArea(
|
||||
str(output_text),
|
||||
classes="task-output-editor",
|
||||
@@ -460,28 +631,25 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
(flat_task_idx, editor_id, str(output_text))
|
||||
)
|
||||
else:
|
||||
icon = "[yellow]○[/]"
|
||||
await detail_scroll.mount(
|
||||
Static(f" {icon} {i + 1}. {desc}", classes="task-label")
|
||||
)
|
||||
status_icon = f"[{_PENDING}]○[/]"
|
||||
task_line = f" {status_icon} {i + 1}. {desc}"
|
||||
if agent_role:
|
||||
task_line += (
|
||||
f" [{_DIM}]→ {_entity_icon('agent')} {agent_role}[/]"
|
||||
)
|
||||
await scroll.mount(Static(task_line, classes="task-label"))
|
||||
flat_task_idx += 1
|
||||
|
||||
# Build input fields
|
||||
await self._build_input_fields(entry.get("inputs", {}))
|
||||
if not has_tasks:
|
||||
await scroll.mount(Static(f"[{_DIM}]No tasks[/]", classes="empty-state"))
|
||||
|
||||
async def _build_input_fields(self, inputs: dict[str, Any]) -> None:
|
||||
"""Rebuild the inputs section with one field per input key."""
|
||||
section = self.query_one("#inputs-section")
|
||||
|
||||
# Remove old dynamic children — await so IDs are freed
|
||||
for widget in list(section.query(".input-row, .no-inputs")):
|
||||
await widget.remove()
|
||||
async def _render_inputs(self, inputs: dict[str, Any]) -> None:
|
||||
scroll = await self._clear_scroll("tab-inputs")
|
||||
|
||||
self._input_keys = []
|
||||
|
||||
if not inputs:
|
||||
await section.mount(Static(f"[{_DIM}]No inputs[/]", classes="no-inputs"))
|
||||
section.add_class("visible")
|
||||
await scroll.mount(Static(f"[{_DIM}]No inputs[/]", classes="empty-state"))
|
||||
return
|
||||
|
||||
for key, value in inputs.items():
|
||||
@@ -491,12 +659,11 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
row.compose_add_child(
|
||||
Input(value=str(value), placeholder=key, id=f"input-{key}")
|
||||
)
|
||||
await section.mount(row)
|
||||
await scroll.mount(row)
|
||||
|
||||
section.add_class("visible")
|
||||
# ── Data collection ────────────────────────────────────────────
|
||||
|
||||
def _collect_inputs(self) -> dict[str, Any] | None:
|
||||
"""Collect current values from input fields."""
|
||||
if not self._input_keys:
|
||||
return None
|
||||
result: dict[str, Any] = {}
|
||||
@@ -506,7 +673,6 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
return result
|
||||
|
||||
def _collect_task_overrides(self) -> dict[int, str] | None:
|
||||
"""Collect edited task outputs. Returns only changed values."""
|
||||
if not self._task_output_ids or self._selected_entry is None:
|
||||
return None
|
||||
overrides: dict[int, str] = {}
|
||||
@@ -516,38 +682,48 @@ class CheckpointTUI(App[_TuiResult]):
|
||||
overrides[task_idx] = editor.text
|
||||
return overrides or None
|
||||
|
||||
def _detect_entity_type(self, entry: dict[str, Any]) -> Literal["crew", "flow"]:
|
||||
"""Infer the top-level entity type from checkpoint entities."""
|
||||
def _detect_entity_type(
|
||||
self, entry: dict[str, Any]
|
||||
) -> Literal["crew", "flow", "agent"]:
|
||||
for ent in entry.get("entities", []):
|
||||
if ent.get("type") == "flow":
|
||||
return "flow"
|
||||
if ent.get("type") == "agent":
|
||||
return "agent"
|
||||
return "crew"
|
||||
|
||||
def _resolve_location(self, entry: dict[str, Any]) -> str:
|
||||
"""Get the restore location string for a checkpoint entry."""
|
||||
if "path" in entry:
|
||||
return str(entry["path"])
|
||||
if _is_sqlite(self._location):
|
||||
return f"{self._location}#{entry['name']}"
|
||||
return str(entry.get("name", ""))
|
||||
|
||||
# ── Events ─────────────────────────────────────────────────────
|
||||
|
||||
async def on_tree_node_highlighted(
|
||||
self, event: Tree.NodeHighlighted[dict[str, Any]]
|
||||
) -> None:
|
||||
if event.node.data is not None:
|
||||
await self._show_detail(event.node.data)
|
||||
|
||||
def on_button_pressed(self, event: Button.Pressed) -> None:
|
||||
def _exit_with_action(self, action: str) -> None:
|
||||
if self._selected_entry is None:
|
||||
self.notify("No checkpoint selected", severity="warning")
|
||||
return
|
||||
inputs = self._collect_inputs()
|
||||
overrides = self._collect_task_overrides()
|
||||
loc = self._resolve_location(self._selected_entry)
|
||||
etype = self._detect_entity_type(self._selected_entry)
|
||||
if event.button.id == "btn-resume":
|
||||
self.exit((loc, "resume", inputs, overrides, etype))
|
||||
elif event.button.id == "btn-fork":
|
||||
self.exit((loc, "fork", inputs, overrides, etype))
|
||||
name = self._selected_entry.get("name", "")[:30]
|
||||
self.notify(f"{action.title()}: {name}")
|
||||
self.exit((loc, action, inputs, overrides, etype))
|
||||
|
||||
def action_resume(self) -> None:
|
||||
self._exit_with_action("resume")
|
||||
|
||||
def action_fork(self) -> None:
|
||||
self._exit_with_action("fork")
|
||||
|
||||
def action_refresh(self) -> None:
|
||||
self._refresh_tree()
|
||||
@@ -657,6 +833,21 @@ async def _run_checkpoint_tui_async(location: str) -> None:
|
||||
click.echo(f"\nResult: {getattr(result, 'raw', result)}")
|
||||
return
|
||||
|
||||
if entity_type == "agent":
|
||||
from crewai.agent import Agent
|
||||
|
||||
if action == "fork":
|
||||
click.echo(f"\nForking agent from: {selected}\n")
|
||||
agent = Agent.fork(config)
|
||||
else:
|
||||
click.echo(f"\nResuming agent from: {selected}\n")
|
||||
agent = Agent.from_checkpoint(config)
|
||||
|
||||
click.echo()
|
||||
result = await agent.akickoff(messages="Resume execution.")
|
||||
click.echo(f"\nResult: {getattr(result, 'raw', result)}")
|
||||
return
|
||||
|
||||
from crewai.crew import Crew
|
||||
|
||||
if action == "fork":
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = [{ name = "Your Name", email = "you@example.com" }]
|
||||
requires-python = ">=3.10,<3.14"
|
||||
dependencies = [
|
||||
"crewai[tools]==1.14.2"
|
||||
"crewai[tools]==1.14.3a2"
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "{{name}} using crewAI"
|
||||
authors = [{ name = "Your Name", email = "you@example.com" }]
|
||||
requires-python = ">=3.10,<3.14"
|
||||
dependencies = [
|
||||
"crewai[tools]==1.14.2"
|
||||
"crewai[tools]==1.14.3a2"
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
|
||||
@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.10,<3.14"
|
||||
dependencies = [
|
||||
"crewai[tools]==1.14.2"
|
||||
"crewai[tools]==1.14.3a2"
|
||||
]
|
||||
|
||||
[tool.crewai]
|
||||
|
||||
@@ -419,10 +419,32 @@ class Crew(FlowTrackable, BaseModel):
|
||||
|
||||
def _restore_runtime(self) -> None:
|
||||
"""Re-create runtime objects after restoring from a checkpoint."""
|
||||
from crewai.events.event_bus import crewai_event_bus
|
||||
|
||||
started_task_ids: set[str] = set()
|
||||
state = crewai_event_bus._runtime_state
|
||||
if state is not None:
|
||||
for node in state.event_record.nodes.values():
|
||||
if node.event.type == "task_started" and node.event.task_id:
|
||||
started_task_ids.add(node.event.task_id)
|
||||
|
||||
resuming_task_agent_roles: set[str] = set()
|
||||
for task in self.tasks:
|
||||
if (
|
||||
task.output is None
|
||||
and task.agent is not None
|
||||
and str(task.id) in started_task_ids
|
||||
):
|
||||
resuming_task_agent_roles.add(task.agent.role)
|
||||
|
||||
for agent in self.agents:
|
||||
agent.crew = self
|
||||
executor = agent.agent_executor
|
||||
if executor and executor.messages:
|
||||
if (
|
||||
executor
|
||||
and executor.messages
|
||||
and agent.role in resuming_task_agent_roles
|
||||
):
|
||||
executor.crew = self
|
||||
executor.agent = agent
|
||||
executor._resuming = True
|
||||
|
||||
@@ -81,8 +81,11 @@ class TraceBatchManager:
|
||||
"""Initialize a new trace batch (thread-safe)"""
|
||||
with self._batch_ready_cv:
|
||||
if self.current_batch is not None:
|
||||
# Lazy init (e.g. DefaultEnvEvent) may have created the batch without
|
||||
# execution_type; merge metadata from a later flow/crew initializer.
|
||||
self.current_batch.execution_metadata.update(execution_metadata)
|
||||
logger.debug(
|
||||
"Batch already initialized, skipping duplicate initialization"
|
||||
"Batch already initialized, merged execution metadata and skipped duplicate initialization"
|
||||
)
|
||||
return self.current_batch
|
||||
|
||||
|
||||
@@ -60,12 +60,6 @@ from crewai.events.types.crew_events import (
|
||||
CrewKickoffFailedEvent,
|
||||
CrewKickoffStartedEvent,
|
||||
)
|
||||
from crewai.events.types.env_events import (
|
||||
CCEnvEvent,
|
||||
CodexEnvEvent,
|
||||
CursorEnvEvent,
|
||||
DefaultEnvEvent,
|
||||
)
|
||||
from crewai.events.types.flow_events import (
|
||||
FlowCreatedEvent,
|
||||
FlowFinishedEvent,
|
||||
@@ -212,7 +206,6 @@ class TraceCollectionListener(BaseEventListener):
|
||||
self._listeners_setup = True
|
||||
return
|
||||
|
||||
self._register_env_event_handlers(crewai_event_bus)
|
||||
self._register_flow_event_handlers(crewai_event_bus)
|
||||
self._register_context_event_handlers(crewai_event_bus)
|
||||
self._register_action_event_handlers(crewai_event_bus)
|
||||
@@ -221,25 +214,6 @@ class TraceCollectionListener(BaseEventListener):
|
||||
|
||||
self._listeners_setup = True
|
||||
|
||||
def _register_env_event_handlers(self, event_bus: CrewAIEventsBus) -> None:
|
||||
"""Register handlers for environment context events."""
|
||||
|
||||
@event_bus.on(CCEnvEvent)
|
||||
def on_cc_env(source: Any, event: CCEnvEvent) -> None:
|
||||
self._handle_action_event("cc_env", source, event)
|
||||
|
||||
@event_bus.on(CodexEnvEvent)
|
||||
def on_codex_env(source: Any, event: CodexEnvEvent) -> None:
|
||||
self._handle_action_event("codex_env", source, event)
|
||||
|
||||
@event_bus.on(CursorEnvEvent)
|
||||
def on_cursor_env(source: Any, event: CursorEnvEvent) -> None:
|
||||
self._handle_action_event("cursor_env", source, event)
|
||||
|
||||
@event_bus.on(DefaultEnvEvent)
|
||||
def on_default_env(source: Any, event: DefaultEnvEvent) -> None:
|
||||
self._handle_action_event("default_env", source, event)
|
||||
|
||||
def _register_flow_event_handlers(self, event_bus: CrewAIEventsBus) -> None:
|
||||
"""Register handlers for flow events."""
|
||||
|
||||
@@ -286,8 +260,8 @@ class TraceCollectionListener(BaseEventListener):
|
||||
if self.batch_manager.batch_owner_type != "flow":
|
||||
# Always call _initialize_crew_batch to claim ownership.
|
||||
# If batch was already initialized by a concurrent action event
|
||||
# (race condition with DefaultEnvEvent), initialize_batch() returns
|
||||
# early but batch_owner_type is still correctly set to "crew".
|
||||
# (e.g. LLM/tool before crew_kickoff_started), initialize_batch()
|
||||
# returns early but batch_owner_type is still correctly set to "crew".
|
||||
# Skip only when a parent flow already owns the batch.
|
||||
self._initialize_crew_batch(source, event)
|
||||
self._handle_trace_event("crew_kickoff_started", source, event)
|
||||
|
||||
@@ -1503,6 +1503,8 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
|
||||
except Exception:
|
||||
logger.warning("FlowStartedEvent handler failed", exc_info=True)
|
||||
|
||||
get_env_context()
|
||||
|
||||
context = self._pending_feedback_context
|
||||
emit = context.emit
|
||||
default_outcome = context.default_outcome
|
||||
@@ -2004,7 +2006,6 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
|
||||
restored = apply_checkpoint(self, from_checkpoint)
|
||||
if restored is not None:
|
||||
return restored.kickoff(inputs=inputs, input_files=input_files)
|
||||
get_env_context()
|
||||
if self.stream:
|
||||
result_holder: list[Any] = []
|
||||
current_task_info: TaskInfo = {
|
||||
@@ -2206,6 +2207,10 @@ class Flow(BaseModel, Generic[T], metaclass=FlowMeta):
|
||||
f"Flow started with ID: {self.flow_id}", color="bold magenta"
|
||||
)
|
||||
|
||||
# After FlowStarted (when not suppressed): env events must not pre-empt
|
||||
# trace batch init with implicit "crew" execution_type.
|
||||
get_env_context()
|
||||
|
||||
if inputs is not None and "id" not in inputs:
|
||||
self._initialize_state(inputs)
|
||||
|
||||
|
||||
@@ -175,6 +175,16 @@ LLM_CONTEXT_WINDOW_SIZES: Final[dict[str, int]] = {
|
||||
"us.amazon.nova-pro-v1:0": 300000,
|
||||
"us.amazon.nova-micro-v1:0": 128000,
|
||||
"us.amazon.nova-lite-v1:0": 300000,
|
||||
# Claude 4 models
|
||||
"us.anthropic.claude-opus-4-7": 1000000,
|
||||
"us.anthropic.claude-sonnet-4-6": 1000000,
|
||||
"us.anthropic.claude-opus-4-6-v1": 1000000,
|
||||
"us.anthropic.claude-opus-4-5-20251101-v1:0": 200000,
|
||||
"us.anthropic.claude-haiku-4-5-20251001-v1:0": 200000,
|
||||
"us.anthropic.claude-sonnet-4-5-20250929-v1:0": 200000,
|
||||
"us.anthropic.claude-opus-4-1-20250805-v1:0": 200000,
|
||||
"us.anthropic.claude-opus-4-20250514-v1:0": 200000,
|
||||
"us.anthropic.claude-sonnet-4-20250514-v1:0": 200000,
|
||||
"us.anthropic.claude-3-5-sonnet-20240620-v1:0": 200000,
|
||||
"us.anthropic.claude-3-5-haiku-20241022-v1:0": 200000,
|
||||
"us.anthropic.claude-3-5-sonnet-20241022-v2:0": 200000,
|
||||
@@ -193,15 +203,44 @@ LLM_CONTEXT_WINDOW_SIZES: Final[dict[str, int]] = {
|
||||
"eu.anthropic.claude-3-5-sonnet-20240620-v1:0": 200000,
|
||||
"eu.anthropic.claude-3-sonnet-20240229-v1:0": 200000,
|
||||
"eu.anthropic.claude-3-haiku-20240307-v1:0": 200000,
|
||||
# Claude 4 EU
|
||||
"eu.anthropic.claude-opus-4-7": 1000000,
|
||||
"eu.anthropic.claude-sonnet-4-6": 1000000,
|
||||
"eu.anthropic.claude-opus-4-6-v1": 1000000,
|
||||
"eu.anthropic.claude-opus-4-5-20251101-v1:0": 200000,
|
||||
"eu.anthropic.claude-haiku-4-5-20251001-v1:0": 200000,
|
||||
"eu.anthropic.claude-sonnet-4-5-20250929-v1:0": 200000,
|
||||
"eu.anthropic.claude-opus-4-1-20250805-v1:0": 200000,
|
||||
"eu.anthropic.claude-opus-4-20250514-v1:0": 200000,
|
||||
"eu.anthropic.claude-sonnet-4-20250514-v1:0": 200000,
|
||||
"eu.meta.llama3-2-3b-instruct-v1:0": 131000,
|
||||
"eu.meta.llama3-2-1b-instruct-v1:0": 131000,
|
||||
"apac.anthropic.claude-3-5-sonnet-20240620-v1:0": 200000,
|
||||
"apac.anthropic.claude-3-5-sonnet-20241022-v2:0": 200000,
|
||||
"apac.anthropic.claude-3-sonnet-20240229-v1:0": 200000,
|
||||
"apac.anthropic.claude-3-haiku-20240307-v1:0": 200000,
|
||||
# Claude 4 APAC
|
||||
"apac.anthropic.claude-opus-4-7": 1000000,
|
||||
"apac.anthropic.claude-sonnet-4-6": 1000000,
|
||||
"apac.anthropic.claude-opus-4-6-v1": 1000000,
|
||||
"apac.anthropic.claude-opus-4-5-20251101-v1:0": 200000,
|
||||
"apac.anthropic.claude-haiku-4-5-20251001-v1:0": 200000,
|
||||
"apac.anthropic.claude-sonnet-4-5-20250929-v1:0": 200000,
|
||||
"apac.anthropic.claude-opus-4-1-20250805-v1:0": 200000,
|
||||
"apac.anthropic.claude-opus-4-20250514-v1:0": 200000,
|
||||
"apac.anthropic.claude-sonnet-4-20250514-v1:0": 200000,
|
||||
"amazon.nova-pro-v1:0": 300000,
|
||||
"amazon.nova-micro-v1:0": 128000,
|
||||
"amazon.nova-lite-v1:0": 300000,
|
||||
"anthropic.claude-opus-4-7": 1000000,
|
||||
"anthropic.claude-sonnet-4-6": 1000000,
|
||||
"anthropic.claude-opus-4-6-v1": 1000000,
|
||||
"anthropic.claude-opus-4-5-20251101-v1:0": 200000,
|
||||
"anthropic.claude-haiku-4-5-20251001-v1:0": 200000,
|
||||
"anthropic.claude-sonnet-4-5-20250929-v1:0": 200000,
|
||||
"anthropic.claude-opus-4-1-20250805-v1:0": 200000,
|
||||
"anthropic.claude-opus-4-20250514-v1:0": 200000,
|
||||
"anthropic.claude-sonnet-4-20250514-v1:0": 200000,
|
||||
"anthropic.claude-3-5-sonnet-20240620-v1:0": 200000,
|
||||
"anthropic.claude-3-5-haiku-20241022-v1:0": 200000,
|
||||
"anthropic.claude-3-5-sonnet-20241022-v2:0": 200000,
|
||||
|
||||
@@ -423,6 +423,34 @@ AZURE_MODELS: list[AzureModels] = [
|
||||
|
||||
|
||||
BedrockModels: TypeAlias = Literal[
|
||||
# Inference profiles (regional) - Claude 4
|
||||
"us.anthropic.claude-sonnet-4-5-20250929-v1:0",
|
||||
"us.anthropic.claude-sonnet-4-20250514-v1:0",
|
||||
"us.anthropic.claude-opus-4-5-20251101-v1:0",
|
||||
"us.anthropic.claude-opus-4-20250514-v1:0",
|
||||
"us.anthropic.claude-opus-4-1-20250805-v1:0",
|
||||
"us.anthropic.claude-haiku-4-5-20251001-v1:0",
|
||||
"us.anthropic.claude-sonnet-4-6",
|
||||
"us.anthropic.claude-opus-4-6-v1",
|
||||
# Inference profiles - shorter versions
|
||||
"us.anthropic.claude-sonnet-4-5-v1:0",
|
||||
"us.anthropic.claude-opus-4-5-v1:0",
|
||||
"us.anthropic.claude-opus-4-6-v1:0",
|
||||
"us.anthropic.claude-haiku-4-5-v1:0",
|
||||
"eu.anthropic.claude-sonnet-4-5-v1:0",
|
||||
"eu.anthropic.claude-opus-4-5-v1:0",
|
||||
"eu.anthropic.claude-haiku-4-5-v1:0",
|
||||
"apac.anthropic.claude-sonnet-4-5-v1:0",
|
||||
"apac.anthropic.claude-opus-4-5-v1:0",
|
||||
"apac.anthropic.claude-haiku-4-5-v1:0",
|
||||
# Global inference profiles
|
||||
"global.anthropic.claude-sonnet-4-5-20250929-v1:0",
|
||||
"global.anthropic.claude-sonnet-4-20250514-v1:0",
|
||||
"global.anthropic.claude-opus-4-5-20251101-v1:0",
|
||||
"global.anthropic.claude-opus-4-6-v1",
|
||||
"global.anthropic.claude-haiku-4-5-20251001-v1:0",
|
||||
"global.anthropic.claude-sonnet-4-6",
|
||||
# Direct model IDs
|
||||
"ai21.jamba-1-5-large-v1:0",
|
||||
"ai21.jamba-1-5-mini-v1:0",
|
||||
"amazon.nova-lite-v1:0",
|
||||
@@ -496,6 +524,34 @@ BedrockModels: TypeAlias = Literal[
|
||||
"twelvelabs.pegasus-1-2-v1:0",
|
||||
]
|
||||
BEDROCK_MODELS: list[BedrockModels] = [
|
||||
# Inference profiles (regional) - Claude 4
|
||||
"us.anthropic.claude-sonnet-4-5-20250929-v1:0",
|
||||
"us.anthropic.claude-sonnet-4-20250514-v1:0",
|
||||
"us.anthropic.claude-opus-4-5-20251101-v1:0",
|
||||
"us.anthropic.claude-opus-4-20250514-v1:0",
|
||||
"us.anthropic.claude-opus-4-1-20250805-v1:0",
|
||||
"us.anthropic.claude-haiku-4-5-20251001-v1:0",
|
||||
"us.anthropic.claude-sonnet-4-6",
|
||||
"us.anthropic.claude-opus-4-6-v1",
|
||||
# Inference profiles - shorter versions
|
||||
"us.anthropic.claude-sonnet-4-5-v1:0",
|
||||
"us.anthropic.claude-opus-4-5-v1:0",
|
||||
"us.anthropic.claude-opus-4-6-v1:0",
|
||||
"us.anthropic.claude-haiku-4-5-v1:0",
|
||||
"eu.anthropic.claude-sonnet-4-5-v1:0",
|
||||
"eu.anthropic.claude-opus-4-5-v1:0",
|
||||
"eu.anthropic.claude-haiku-4-5-v1:0",
|
||||
"apac.anthropic.claude-sonnet-4-5-v1:0",
|
||||
"apac.anthropic.claude-opus-4-5-v1:0",
|
||||
"apac.anthropic.claude-haiku-4-5-v1:0",
|
||||
# Global inference profiles
|
||||
"global.anthropic.claude-sonnet-4-5-20250929-v1:0",
|
||||
"global.anthropic.claude-sonnet-4-20250514-v1:0",
|
||||
"global.anthropic.claude-opus-4-5-20251101-v1:0",
|
||||
"global.anthropic.claude-opus-4-6-v1",
|
||||
"global.anthropic.claude-haiku-4-5-20251001-v1:0",
|
||||
"global.anthropic.claude-sonnet-4-6",
|
||||
# Direct model IDs
|
||||
"ai21.jamba-1-5-large-v1:0",
|
||||
"ai21.jamba-1-5-mini-v1:0",
|
||||
"amazon.nova-lite-v1:0",
|
||||
|
||||
@@ -2075,6 +2075,9 @@ class BedrockCompletion(BaseLLM):
|
||||
|
||||
# Context window sizes for common Bedrock models
|
||||
context_windows = {
|
||||
"anthropic.claude-sonnet-4": 200000,
|
||||
"anthropic.claude-opus-4": 200000,
|
||||
"anthropic.claude-haiku-4": 200000,
|
||||
"anthropic.claude-3-5-sonnet": 200000,
|
||||
"anthropic.claude-3-5-haiku": 200000,
|
||||
"anthropic.claude-3-opus": 200000,
|
||||
|
||||
@@ -976,6 +976,7 @@ class GeminiCompletion(BaseLLM):
|
||||
"id": call_id,
|
||||
"name": part.function_call.name,
|
||||
"args": args_dict,
|
||||
"raw_part": part,
|
||||
}
|
||||
|
||||
self._emit_stream_chunk_event(
|
||||
@@ -1060,29 +1061,20 @@ class GeminiCompletion(BaseLLM):
|
||||
if call_data.get("name") != STRUCTURED_OUTPUT_TOOL_NAME
|
||||
}
|
||||
|
||||
# If there are function calls but no available_functions,
|
||||
# return them for the executor to handle
|
||||
if non_structured_output_calls and not available_functions:
|
||||
formatted_function_calls = [
|
||||
{
|
||||
"id": call_data["id"],
|
||||
"function": {
|
||||
"name": call_data["name"],
|
||||
"arguments": json.dumps(call_data["args"]),
|
||||
},
|
||||
"type": "function",
|
||||
}
|
||||
raw_parts = [
|
||||
call_data["raw_part"]
|
||||
for call_data in non_structured_output_calls.values()
|
||||
]
|
||||
self._emit_call_completed_event(
|
||||
response=formatted_function_calls,
|
||||
response=raw_parts,
|
||||
call_type=LLMCallType.TOOL_CALL,
|
||||
from_task=from_task,
|
||||
from_agent=from_agent,
|
||||
messages=self._convert_contents_to_dict(contents),
|
||||
usage=usage_data,
|
||||
)
|
||||
return formatted_function_calls
|
||||
return raw_parts
|
||||
|
||||
# Handle completed function calls (excluding structured_output)
|
||||
if non_structured_output_calls and available_functions:
|
||||
|
||||
@@ -237,6 +237,8 @@ def crew(
|
||||
self.tasks = instantiated_tasks
|
||||
|
||||
crew_instance: Crew = _call_method(meth, self, *args, **kwargs)
|
||||
if "name" not in crew_instance.model_fields_set:
|
||||
crew_instance.name = getattr(self, "_crew_name", None) or crew_instance.name
|
||||
|
||||
def callback_wrapper(
|
||||
hook: Callable[Concatenate[CrewInstance, P2], R2], instance: CrewInstance
|
||||
|
||||
@@ -44,9 +44,12 @@ def _sync_checkpoint_fields(entity: object) -> None:
|
||||
entity: The entity whose private runtime attributes will be
|
||||
copied into its public checkpoint fields.
|
||||
"""
|
||||
from crewai.agents.agent_builder.base_agent import BaseAgent
|
||||
from crewai.crew import Crew
|
||||
from crewai.flow.flow import Flow
|
||||
|
||||
if isinstance(entity, BaseAgent):
|
||||
entity.checkpoint_kickoff_event_id = entity._kickoff_event_id
|
||||
if isinstance(entity, Flow):
|
||||
entity.checkpoint_completed_methods = (
|
||||
set(entity._completed_methods) if entity._completed_methods else None
|
||||
|
||||
@@ -32,6 +32,7 @@ from pydantic import (
|
||||
field_validator,
|
||||
model_validator,
|
||||
)
|
||||
from pydantic.functional_serializers import PlainSerializer
|
||||
from pydantic_core import PydanticCustomError
|
||||
from typing_extensions import Self
|
||||
|
||||
@@ -86,6 +87,22 @@ from crewai.utilities.printer import PRINTER
|
||||
from crewai.utilities.string_utils import interpolate_only
|
||||
|
||||
|
||||
def _serialize_model_class(v: type[BaseModel] | None) -> dict[str, Any] | None:
|
||||
"""Serialize a Pydantic model class reference to its JSON schema."""
|
||||
return v.model_json_schema() if v else None
|
||||
|
||||
|
||||
def _deserialize_model_class(v: Any) -> type[BaseModel] | None:
|
||||
"""Hydrate a model class reference from checkpoint data."""
|
||||
if v is None or isinstance(v, type):
|
||||
return v
|
||||
if isinstance(v, dict):
|
||||
from crewai.utilities.pydantic_schema_utils import create_model_from_schema
|
||||
|
||||
return create_model_from_schema(v)
|
||||
return None
|
||||
|
||||
|
||||
class Task(BaseModel):
|
||||
"""Class that represents a task to be executed.
|
||||
|
||||
@@ -141,15 +158,33 @@ class Task(BaseModel):
|
||||
description="Whether the task should be executed asynchronously or not.",
|
||||
default=False,
|
||||
)
|
||||
output_json: type[BaseModel] | None = Field(
|
||||
output_json: Annotated[
|
||||
type[BaseModel] | None,
|
||||
BeforeValidator(_deserialize_model_class),
|
||||
PlainSerializer(
|
||||
_serialize_model_class, return_type=dict | None, when_used="json"
|
||||
),
|
||||
] = Field(
|
||||
description="A Pydantic model to be used to create a JSON output.",
|
||||
default=None,
|
||||
)
|
||||
output_pydantic: type[BaseModel] | None = Field(
|
||||
output_pydantic: Annotated[
|
||||
type[BaseModel] | None,
|
||||
BeforeValidator(_deserialize_model_class),
|
||||
PlainSerializer(
|
||||
_serialize_model_class, return_type=dict | None, when_used="json"
|
||||
),
|
||||
] = Field(
|
||||
description="A Pydantic model to be used to create a Pydantic output.",
|
||||
default=None,
|
||||
)
|
||||
response_model: type[BaseModel] | None = Field(
|
||||
response_model: Annotated[
|
||||
type[BaseModel] | None,
|
||||
BeforeValidator(_deserialize_model_class),
|
||||
PlainSerializer(
|
||||
_serialize_model_class, return_type=dict | None, when_used="json"
|
||||
),
|
||||
] = Field(
|
||||
description="A Pydantic model for structured LLM outputs using native provider features.",
|
||||
default=None,
|
||||
)
|
||||
@@ -189,7 +224,13 @@ class Task(BaseModel):
|
||||
description="Whether the task should instruct the agent to return the final answer formatted in Markdown",
|
||||
default=False,
|
||||
)
|
||||
converter_cls: type[Converter] | None = Field(
|
||||
converter_cls: Annotated[
|
||||
type[Converter] | None,
|
||||
BeforeValidator(lambda v: v if v is None or isinstance(v, type) else None),
|
||||
PlainSerializer(
|
||||
_serialize_model_class, return_type=dict | None, when_used="json"
|
||||
),
|
||||
] = Field(
|
||||
description="A converter class used to export structured output",
|
||||
default=None,
|
||||
)
|
||||
@@ -1241,12 +1282,26 @@ Follow these guidelines:
|
||||
tools=tools,
|
||||
)
|
||||
|
||||
pydantic_output, json_output = self._export_output(result)
|
||||
if isinstance(result, BaseModel):
|
||||
raw = result.model_dump_json()
|
||||
if self.output_pydantic:
|
||||
pydantic_output = result
|
||||
json_output = None
|
||||
elif self.output_json:
|
||||
pydantic_output = None
|
||||
json_output = result.model_dump()
|
||||
else:
|
||||
pydantic_output = None
|
||||
json_output = None
|
||||
else:
|
||||
raw = result
|
||||
pydantic_output, json_output = self._export_output(result)
|
||||
|
||||
task_output = TaskOutput(
|
||||
name=self.name or self.description,
|
||||
description=self.description,
|
||||
expected_output=self.expected_output,
|
||||
raw=result,
|
||||
raw=raw,
|
||||
pydantic=pydantic_output,
|
||||
json_dict=json_output,
|
||||
agent=agent.role,
|
||||
@@ -1337,12 +1392,26 @@ Follow these guidelines:
|
||||
tools=tools,
|
||||
)
|
||||
|
||||
pydantic_output, json_output = self._export_output(result)
|
||||
if isinstance(result, BaseModel):
|
||||
raw = result.model_dump_json()
|
||||
if self.output_pydantic:
|
||||
pydantic_output = result
|
||||
json_output = None
|
||||
elif self.output_json:
|
||||
pydantic_output = None
|
||||
json_output = result.model_dump()
|
||||
else:
|
||||
pydantic_output = None
|
||||
json_output = None
|
||||
else:
|
||||
raw = result
|
||||
pydantic_output, json_output = self._export_output(result)
|
||||
|
||||
task_output = TaskOutput(
|
||||
name=self.name or self.description,
|
||||
description=self.description,
|
||||
expected_output=self.expected_output,
|
||||
raw=result,
|
||||
raw=raw,
|
||||
pydantic=pydantic_output,
|
||||
json_dict=json_output,
|
||||
agent=agent.role,
|
||||
|
||||
@@ -562,3 +562,75 @@ class TestKickoffFromCheckpoint:
|
||||
)
|
||||
assert mock_restored.checkpoint.restore_from is None
|
||||
assert result == "flow_result"
|
||||
|
||||
|
||||
# ---------- Agent checkpoint/fork ----------
|
||||
|
||||
|
||||
class TestAgentCheckpoint:
|
||||
def _make_agent_state(self) -> RuntimeState:
|
||||
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
|
||||
return RuntimeState(root=[agent])
|
||||
|
||||
def test_agent_from_checkpoint_sets_runtime_state(self) -> None:
|
||||
state = self._make_agent_state()
|
||||
state._provider = JsonProvider()
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
loc = state.checkpoint(d)
|
||||
cfg = CheckpointConfig(restore_from=loc)
|
||||
|
||||
from crewai.events.event_bus import crewai_event_bus
|
||||
|
||||
crewai_event_bus._runtime_state = None
|
||||
Agent.from_checkpoint(cfg)
|
||||
assert crewai_event_bus._runtime_state is not None
|
||||
|
||||
def test_agent_fork_sets_branch(self) -> None:
|
||||
state = self._make_agent_state()
|
||||
state._provider = JsonProvider()
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
loc = state.checkpoint(d)
|
||||
cfg = CheckpointConfig(restore_from=loc)
|
||||
|
||||
from crewai.events.event_bus import crewai_event_bus
|
||||
|
||||
Agent.fork(cfg, branch="agent-experiment")
|
||||
rt = crewai_event_bus._runtime_state
|
||||
assert rt is not None
|
||||
assert rt._branch == "agent-experiment"
|
||||
|
||||
def test_agent_fork_auto_branch(self) -> None:
|
||||
state = self._make_agent_state()
|
||||
state._provider = JsonProvider()
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
loc = state.checkpoint(d)
|
||||
cfg = CheckpointConfig(restore_from=loc)
|
||||
|
||||
from crewai.events.event_bus import crewai_event_bus
|
||||
|
||||
Agent.fork(cfg)
|
||||
rt = crewai_event_bus._runtime_state
|
||||
assert rt is not None
|
||||
assert rt._branch.startswith("fork/")
|
||||
|
||||
def test_sync_checkpoint_fields_agent(self) -> None:
|
||||
from crewai.state.runtime import _sync_checkpoint_fields
|
||||
|
||||
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
|
||||
agent._kickoff_event_id = "evt-123"
|
||||
_sync_checkpoint_fields(agent)
|
||||
assert agent.checkpoint_kickoff_event_id == "evt-123"
|
||||
|
||||
def test_agent_restore_kickoff_event_id(self) -> None:
|
||||
agent = Agent(role="r", goal="g", backstory="b", llm="gpt-4o-mini")
|
||||
agent._kickoff_event_id = "evt-456"
|
||||
state = RuntimeState(root=[agent])
|
||||
state._provider = JsonProvider()
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
from crewai.state.runtime import _prepare_entities
|
||||
|
||||
_prepare_entities(state.root)
|
||||
loc = state.checkpoint(d)
|
||||
cfg = CheckpointConfig(restore_from=loc)
|
||||
restored = Agent.from_checkpoint(cfg)
|
||||
assert restored._kickoff_event_id == "evt-456"
|
||||
|
||||
@@ -292,7 +292,7 @@ class TestPruneJson:
|
||||
d, name="20250101T000000_old01111_p-none.json"
|
||||
)
|
||||
os.utime(old_path, (0, 0))
|
||||
_write_json_checkpoint(d, name="20260417T000000_new01111_p-none.json")
|
||||
_write_json_checkpoint(d, name="20990101T000000_new01111_p-none.json")
|
||||
deleted = _prune_json(d, keep=None, older_than=timedelta(days=1))
|
||||
assert deleted == 1
|
||||
|
||||
@@ -330,7 +330,7 @@ class TestPruneSqlite:
|
||||
with tempfile.TemporaryDirectory() as d:
|
||||
db_path = os.path.join(d, "test.db")
|
||||
_create_sqlite_checkpoint(db_path, "20200101T000000_old01111")
|
||||
_create_sqlite_checkpoint(db_path, "20260417T000000_new01111")
|
||||
_create_sqlite_checkpoint(db_path, "20990101T000000_new01111")
|
||||
deleted = _prune_sqlite(db_path, keep=None, older_than=timedelta(days=1))
|
||||
assert deleted >= 1
|
||||
with sqlite3.connect(db_path) as conn:
|
||||
|
||||
@@ -8,6 +8,7 @@ from concurrent.futures import Future
|
||||
from hashlib import md5
|
||||
import re
|
||||
import sys
|
||||
from typing import Any, cast
|
||||
from unittest.mock import ANY, MagicMock, call, patch
|
||||
|
||||
from crewai.agent import Agent
|
||||
@@ -17,6 +18,7 @@ from crewai.crew import Crew
|
||||
from crewai.crews.crew_output import CrewOutput
|
||||
from crewai.events.event_bus import crewai_event_bus
|
||||
from crewai.events.types.crew_events import (
|
||||
CrewKickoffStartedEvent,
|
||||
CrewTestCompletedEvent,
|
||||
CrewTestStartedEvent,
|
||||
CrewTrainCompletedEvent,
|
||||
@@ -4741,6 +4743,61 @@ def test_default_crew_name(researcher, writer):
|
||||
assert crew.name == "crew"
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"explicit_name,expected",
|
||||
[
|
||||
(None, "ResearchAutomation"),
|
||||
("My Research Automation", "My Research Automation"),
|
||||
],
|
||||
ids=["class_name_from_decorator", "explicit_name_preserved"],
|
||||
)
|
||||
def test_crew_kickoff_started_emits_display_name(
|
||||
researcher, writer, explicit_name, expected
|
||||
):
|
||||
"""Kickoff events should use the decorator-provided display name when implicit."""
|
||||
from crewai.crews.utils import prepare_kickoff
|
||||
from crewai.project import CrewBase, agent, crew, task
|
||||
|
||||
@CrewBase
|
||||
class ResearchAutomation:
|
||||
agents_config = None
|
||||
tasks_config = None
|
||||
|
||||
@agent
|
||||
def researcher(self):
|
||||
return researcher
|
||||
|
||||
@task
|
||||
def first_task(self):
|
||||
return Task(
|
||||
description="Task 1",
|
||||
expected_output="output",
|
||||
agent=self.researcher(),
|
||||
)
|
||||
|
||||
@crew
|
||||
def crew(self):
|
||||
crew_kwargs: dict[str, Any] = {
|
||||
"agents": self.agents,
|
||||
"tasks": self.tasks,
|
||||
}
|
||||
if explicit_name is not None:
|
||||
crew_kwargs["name"] = explicit_name
|
||||
return Crew(**crew_kwargs)
|
||||
|
||||
captured: list[str | None] = []
|
||||
with crewai_event_bus.scoped_handlers():
|
||||
|
||||
@crewai_event_bus.on(CrewKickoffStartedEvent)
|
||||
def _capture(_source: Any, event: CrewKickoffStartedEvent) -> None:
|
||||
captured.append(event.crew_name)
|
||||
|
||||
automation_cls = cast(type[Any], ResearchAutomation)
|
||||
prepare_kickoff(cast(Any, automation_cls()).crew(), inputs=None)
|
||||
|
||||
assert captured == [expected]
|
||||
|
||||
|
||||
@pytest.mark.vcr()
|
||||
def test_memory_remember_receives_task_content():
|
||||
"""With memory=True, extract_memories receives raw content with task, agent, expected output, and result."""
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from typing import Any, ClassVar
|
||||
from typing import Any, ClassVar, cast
|
||||
from unittest.mock import Mock, create_autospec, patch
|
||||
|
||||
import pytest
|
||||
@@ -261,6 +261,55 @@ def test_crew_name():
|
||||
assert crew._crew_name == "InternalCrew"
|
||||
|
||||
|
||||
def test_crew_decorator_propagates_class_name_to_instance():
|
||||
"""@crew-decorated factory method should set Crew.name to the decorated class name."""
|
||||
sample_agent = Agent(role="r", goal="g", backstory="b")
|
||||
sample_task = Task(description="d", expected_output="o", agent=sample_agent)
|
||||
|
||||
@CrewBase
|
||||
class ImplicitNameCrewFactory:
|
||||
agents_config = None
|
||||
tasks_config = None
|
||||
agents: list[BaseAgent] = [sample_agent]
|
||||
tasks: list[Task] = [sample_task]
|
||||
|
||||
@crew
|
||||
def crew(self):
|
||||
return Crew(
|
||||
agents=[sample_agent],
|
||||
tasks=[sample_task],
|
||||
)
|
||||
|
||||
factory_cls = cast(type[Any], ImplicitNameCrewFactory)
|
||||
crew_instance: Crew = cast(Any, factory_cls()).crew()
|
||||
assert crew_instance.name == "ImplicitNameCrewFactory"
|
||||
|
||||
|
||||
def test_crew_decorator_preserves_explicit_name():
|
||||
"""Explicit Crew(name=...) inside @crew should win over the @CrewBase class name."""
|
||||
sample_agent = Agent(role="r", goal="g", backstory="b")
|
||||
sample_task = Task(description="d", expected_output="o", agent=sample_agent)
|
||||
|
||||
@CrewBase
|
||||
class NamedCrewFactory:
|
||||
agents_config = None
|
||||
tasks_config = None
|
||||
agents: list[BaseAgent] = [sample_agent]
|
||||
tasks: list[Task] = [sample_task]
|
||||
|
||||
@crew
|
||||
def crew(self):
|
||||
return Crew(
|
||||
name="My Explicit Name",
|
||||
agents=[sample_agent],
|
||||
tasks=[sample_task],
|
||||
)
|
||||
|
||||
factory_cls = cast(type[Any], NamedCrewFactory)
|
||||
crew_instance: Crew = cast(Any, factory_cls()).crew()
|
||||
assert crew_instance.name == "My Explicit Name"
|
||||
|
||||
|
||||
@tool
|
||||
def simple_tool():
|
||||
"""Return 'Hi!'"""
|
||||
|
||||
@@ -1640,3 +1640,43 @@ class TestBackendInitializedGatedOnSuccess:
|
||||
|
||||
assert bm.backend_initialized is False
|
||||
assert bm.trace_batch_id is None
|
||||
|
||||
|
||||
class TestTraceBatchManagerDuplicateInitMerge:
|
||||
"""Second initialize_batch call merges execution_metadata (flow after lazy action)."""
|
||||
|
||||
def test_duplicate_initialize_merges_execution_metadata(self):
|
||||
with (
|
||||
patch(
|
||||
"crewai.events.listeners.tracing.trace_batch_manager.should_auto_collect_first_time_traces",
|
||||
return_value=True,
|
||||
),
|
||||
patch(
|
||||
"crewai.events.listeners.tracing.trace_batch_manager.is_tracing_enabled_in_context",
|
||||
return_value=True,
|
||||
),
|
||||
):
|
||||
bm = TraceBatchManager()
|
||||
bm.initialize_batch(
|
||||
user_context={"privacy_level": "standard"},
|
||||
execution_metadata={
|
||||
"crew_name": "Unknown Crew",
|
||||
"crewai_version": "9.9.9",
|
||||
},
|
||||
)
|
||||
first_batch_id = bm.current_batch.batch_id
|
||||
bm.initialize_batch(
|
||||
user_context={"privacy_level": "standard"},
|
||||
execution_metadata={
|
||||
"flow_name": "ResearchFlow",
|
||||
"execution_type": "flow",
|
||||
"crewai_version": "9.9.9",
|
||||
"execution_start": "2026-01-01T00:00:00+00:00",
|
||||
},
|
||||
)
|
||||
|
||||
assert bm.current_batch.batch_id == first_batch_id
|
||||
meta = bm.current_batch.execution_metadata
|
||||
assert meta.get("execution_type") == "flow"
|
||||
assert meta.get("flow_name") == "ResearchFlow"
|
||||
assert meta.get("crew_name") == "Unknown Crew"
|
||||
|
||||
@@ -13,7 +13,7 @@ dependencies = [
|
||||
"click~=8.1.7",
|
||||
"tomlkit~=0.13.2",
|
||||
"openai>=1.83.0,<3",
|
||||
"python-dotenv~=1.1.1",
|
||||
"python-dotenv>=1.2.2,<2",
|
||||
"pygithub~=1.59.1",
|
||||
"rich>=13.9.4",
|
||||
]
|
||||
|
||||
@@ -1,3 +1,3 @@
|
||||
"""CrewAI development tools."""
|
||||
|
||||
__version__ = "1.14.2"
|
||||
__version__ = "1.14.3a2"
|
||||
|
||||
@@ -247,6 +247,14 @@ def create_or_reset_branch(branch: str, cwd: Path | None = None) -> None:
|
||||
remote_exists = False
|
||||
|
||||
if local_exists:
|
||||
current = run_command(
|
||||
["git", "rev-parse", "--abbrev-ref", "HEAD"], cwd=cwd
|
||||
).strip()
|
||||
if current == branch:
|
||||
console.print(
|
||||
f"[yellow]![/yellow] Currently on {branch}, switching to main before delete"
|
||||
)
|
||||
run_command(["git", "checkout", "main"], cwd=cwd)
|
||||
console.print(f"[yellow]![/yellow] Deleting local branch {branch}")
|
||||
run_command(["git", "branch", "-D", branch], cwd=cwd)
|
||||
|
||||
@@ -2019,9 +2027,8 @@ def release(
|
||||
create_or_reset_branch(branch_name)
|
||||
console.print("[green]✓[/green] Branch created")
|
||||
|
||||
_update_all_versions(cwd, lib_dir, version, packages, dry_run)
|
||||
_update_all_versions(cwd, lib_dir, version, packages, dry_run)
|
||||
|
||||
if not dry_run:
|
||||
console.print("\nCommitting changes...")
|
||||
run_command(["git", "add", "."])
|
||||
run_command(["git", "commit", "-m", f"feat: bump versions to {version}"])
|
||||
@@ -2051,6 +2058,7 @@ def release(
|
||||
_poll_pr_until_merged(branch_name, "bump PR")
|
||||
else:
|
||||
console.print(f"[dim][DRY RUN][/dim] Would create branch: {branch_name}")
|
||||
_update_all_versions(cwd, lib_dir, version, packages, dry_run)
|
||||
console.print(
|
||||
f"[dim][DRY RUN][/dim] Would commit: feat: bump versions to {version}"
|
||||
)
|
||||
|
||||
559
uv.lock
generated
559
uv.lock
generated
@@ -240,6 +240,18 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c0/1b/ac685a8882896acf0f6b31d689e3792199cfe7aba37969fa91da63a7fa27/aiohttp-3.13.5-cp313-cp313-win_amd64.whl", hash = "sha256:69f571de7500e0557801c0b51f4780482c0ec5fe2ac851af5a92cfce1af1cb83", size = 458896, upload-time = "2026-03-31T21:58:48.119Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp-retry"
|
||||
version = "2.9.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiohttp" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/9d/61/ebda4d8e3d8cfa1fd3db0fb428db2dd7461d5742cea35178277ad180b033/aiohttp_retry-2.9.1.tar.gz", hash = "sha256:8eb75e904ed4ee5c2ec242fefe85bf04240f685391c4879d8f541d6028ff01f1", size = 13608, upload-time = "2024-11-06T10:44:54.574Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/99/84ba7273339d0f3dfa57901b846489d2e5c2cd731470167757f1935fffbd/aiohttp_retry-2.9.1-py3-none-any.whl", hash = "sha256:66d2759d1921838256a05a3f80ad7e724936f083e35be5abb5e16eed6be6dc54", size = 9981, upload-time = "2024-11-06T10:44:52.917Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aioitertools"
|
||||
version = "0.13.0"
|
||||
@@ -603,7 +615,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "bedrock-agentcore"
|
||||
version = "1.3.2"
|
||||
version = "1.6.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "boto3" },
|
||||
@@ -615,9 +627,9 @@ dependencies = [
|
||||
{ name = "uvicorn" },
|
||||
{ name = "websockets" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/05/90/a11e5a3208b7f607a3eabc8567b7c36767c6e094ec8128fba7ed2f5b3020/bedrock_agentcore-1.3.2.tar.gz", hash = "sha256:1dfae10fd315e078c002e49fd9d9686c41aee71ec8495f21e898a1ef3f782fa3", size = 421197, upload-time = "2026-02-23T20:52:56.202Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ca/f6/2884c954343e794e3419348f5ffb0276a26f57b30af11f9fe63c4ca535c0/bedrock_agentcore-1.6.0.tar.gz", hash = "sha256:7ea176c3226dc6af8c399a8f9abb58629948cd8ed8675ece9f2f32b94e861b92", size = 512010, upload-time = "2026-03-31T23:10:06.561Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/36/b7/a5cc566901af27314408b95701f8e1d9c286b0aecfa50fc76c53d73efa6f/bedrock_agentcore-1.3.2-py3-none-any.whl", hash = "sha256:3a4e7122f777916f8bd74b42f29eb881415e37fda784a5ff8fab3c813b921706", size = 121703, upload-time = "2026-02-23T20:52:55.038Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a2/f8/bcf158979324f4f4d171588afffadb2154fa8499701290bfc7bdaf82bd3a/bedrock_agentcore-1.6.0-py3-none-any.whl", hash = "sha256:a4cd02f2bfb80fcc7a8c8835be8d55c778339f8286b071ac3aae579460dd2eb2", size = 164034, upload-time = "2026-03-31T23:10:04.902Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -707,7 +719,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "build"
|
||||
version = "1.4.2"
|
||||
version = "1.4.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "colorama", marker = "os_name == 'nt'" },
|
||||
@@ -716,9 +728,9 @@ dependencies = [
|
||||
{ name = "pyproject-hooks" },
|
||||
{ name = "tomli", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/6c/1d/ab15c8ac57f4ee8778d7633bc6685f808ab414437b8644f555389cdc875e/build-1.4.2.tar.gz", hash = "sha256:35b14e1ee329c186d3f08466003521ed7685ec15ecffc07e68d706090bf161d1", size = 83433, upload-time = "2026-03-25T14:20:27.659Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/3f/16/4b272700dea44c1d2e8ca963ebb3c684efe22b3eba8cfa31c5fdb60de707/build-1.4.3.tar.gz", hash = "sha256:5aa4231ae0e807efdf1fd0623e07366eca2ab215921345a2e38acdd5d0fa0a74", size = 89314, upload-time = "2026-04-10T21:25:40.857Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/4a/57/3b7d4dd193ade4641c865bc2b93aeeb71162e81fc348b8dad020215601ed/build-1.4.2-py3-none-any.whl", hash = "sha256:7a4d8651ea877cb2a89458b1b198f2e69f536c95e89129dbf5d448045d60db88", size = 24643, upload-time = "2026-03-25T14:20:26.568Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b2/30/f169e1d8b2071beaf8b97088787e30662b1d8fb82f8c0941d14678c0cbf1/build-1.4.3-py3-none-any.whl", hash = "sha256:1bc22b19b383303de8f2c8554c9a32894a58d3f185fe3756b0b20d255bee9a38", size = 26171, upload-time = "2026-04-10T21:25:39.671Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -990,7 +1002,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "commitizen"
|
||||
version = "4.13.9"
|
||||
version = "4.13.10"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "argcomplete" },
|
||||
@@ -1007,9 +1019,9 @@ dependencies = [
|
||||
{ name = "tomlkit" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a6/44/10f95e8178ab5a584298726a4a94ceb83a7f77e00741fec4680df05fedd5/commitizen-4.13.9.tar.gz", hash = "sha256:2b4567ed50555e10920e5bd804a6a4e2c42ec70bb74f14a83f2680fe9eaf9727", size = 64145, upload-time = "2026-02-25T02:40:05.326Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/37/95/da2c71ed6a1c06836cdd4eb60a8b9e1bf05f4ce7029ab508081745171be9/commitizen-4.13.10.tar.gz", hash = "sha256:402b5bcd466be69ba79a3f380be6ba5b55ac658c7d2a93e82fc99668a6eb2673", size = 64106, upload-time = "2026-04-11T06:49:12.907Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/28/22/9b14ee0f17f0aad219a2fb37a293a57b8324d9d195c6ef6807bcd0bf2055/commitizen-4.13.9-py3-none-any.whl", hash = "sha256:d2af3d6a83cacec9d5200e17768942c5de6266f93d932c955986c60c4285f2db", size = 85373, upload-time = "2026-02-25T02:40:03.83Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/11/3a/ad70b3c7dc3da1255668a9396429b1d820c15b74a501668158e4574c1edd/commitizen-4.13.10-py3-none-any.whl", hash = "sha256:95a281317990ac613501fdfe65745cec1fa4042bc5d003a72d332a74926e3039", size = 85746, upload-time = "2026-04-11T06:49:11.167Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1370,7 +1382,7 @@ requires-dist = [
|
||||
{ name = "pydantic", specifier = "~=2.11.9" },
|
||||
{ name = "pydantic-settings", specifier = "~=2.10.1" },
|
||||
{ name = "pyjwt", specifier = ">=2.9.0,<3" },
|
||||
{ name = "python-dotenv", specifier = "~=1.1.1" },
|
||||
{ name = "python-dotenv", specifier = ">=1.2.2,<2" },
|
||||
{ name = "pyyaml", specifier = "~=6.0" },
|
||||
{ name = "qdrant-client", extras = ["fastembed"], marker = "extra == 'qdrant'", specifier = "~=1.14.3" },
|
||||
{ name = "qdrant-edge-py", marker = "extra == 'qdrant-edge'", specifier = ">=0.6.0" },
|
||||
@@ -1402,7 +1414,7 @@ requires-dist = [
|
||||
{ name = "click", specifier = "~=8.1.7" },
|
||||
{ name = "openai", specifier = ">=1.83.0,<3" },
|
||||
{ name = "pygithub", specifier = "~=1.59.1" },
|
||||
{ name = "python-dotenv", specifier = "~=1.1.1" },
|
||||
{ name = "python-dotenv", specifier = ">=1.2.2,<2" },
|
||||
{ name = "rich", specifier = ">=13.9.4" },
|
||||
{ name = "tomlkit", specifier = "~=0.13.2" },
|
||||
]
|
||||
@@ -1474,6 +1486,9 @@ couchbase = [
|
||||
databricks-sdk = [
|
||||
{ name = "databricks-sdk" },
|
||||
]
|
||||
daytona = [
|
||||
{ name = "daytona" },
|
||||
]
|
||||
exa-py = [
|
||||
{ name = "exa-py" },
|
||||
]
|
||||
@@ -1574,6 +1589,7 @@ requires-dist = [
|
||||
{ name = "crewai", editable = "lib/crewai" },
|
||||
{ name = "cryptography", marker = "extra == 'snowflake'", specifier = ">=43.0.3" },
|
||||
{ name = "databricks-sdk", marker = "extra == 'databricks-sdk'", specifier = ">=0.46.0" },
|
||||
{ name = "daytona", marker = "extra == 'daytona'", specifier = "~=0.140.0" },
|
||||
{ name = "exa-py", marker = "extra == 'exa-py'", specifier = ">=1.8.7" },
|
||||
{ name = "firecrawl-py", marker = "extra == 'firecrawl-py'", specifier = ">=1.8.0" },
|
||||
{ name = "gitpython", marker = "extra == 'github'", specifier = ">=3.1.41,<4" },
|
||||
@@ -1616,7 +1632,7 @@ requires-dist = [
|
||||
{ name = "weaviate-client", marker = "extra == 'weaviate-client'", specifier = ">=4.10.2" },
|
||||
{ name = "youtube-transcript-api", specifier = "~=1.2.2" },
|
||||
]
|
||||
provides-extras = ["apify", "beautifulsoup4", "bedrock", "browserbase", "composio-core", "contextual", "couchbase", "databricks-sdk", "exa-py", "firecrawl-py", "github", "hyperbrowser", "linkup-sdk", "mcp", "mongodb", "multion", "mysql", "oxylabs", "patronus", "postgresql", "qdrant-client", "rag", "scrapegraph-py", "scrapfly-sdk", "selenium", "serpapi", "singlestore", "snowflake", "spider-client", "sqlalchemy", "stagehand", "tavily-python", "weaviate-client", "xml"]
|
||||
provides-extras = ["apify", "beautifulsoup4", "bedrock", "browserbase", "composio-core", "contextual", "couchbase", "databricks-sdk", "daytona", "exa-py", "firecrawl-py", "github", "hyperbrowser", "linkup-sdk", "mcp", "mongodb", "multion", "mysql", "oxylabs", "patronus", "postgresql", "qdrant-client", "rag", "scrapegraph-py", "scrapfly-sdk", "selenium", "serpapi", "singlestore", "snowflake", "spider-client", "sqlalchemy", "stagehand", "tavily-python", "weaviate-client", "xml"]
|
||||
|
||||
[[package]]
|
||||
name = "cryptography"
|
||||
@@ -1684,10 +1700,10 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "cuda-pathfinder"
|
||||
version = "1.5.2"
|
||||
version = "1.5.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f2/f9/1b9b60a30fc463c14cdea7a77228131a0ccc89572e8df9cb86c9648271ab/cuda_pathfinder-1.5.2-py3-none-any.whl", hash = "sha256:0c5f160a7756c5b072723cbbd6d861e38917ef956c68150b02f0b6e9271c71fa", size = 49988, upload-time = "2026-04-06T23:01:05.17Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/d6/ac63065d33dd700fee7ebd7d287332401b54e31b9346e142f871e1f0b116/cuda_pathfinder-1.5.3-py3-none-any.whl", hash = "sha256:dff021123aedbb4117cc7ec81717bbfe198fb4e8b5f1ee57e0e084fec5c8577d", size = 49991, upload-time = "2026-04-14T20:09:27.037Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1784,6 +1800,94 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/be/d0d44e092656fe7a06b55e6103cbce807cdbdee17884a5367c68c9860853/dataclasses_json-0.6.7-py3-none-any.whl", hash = "sha256:0dbf33f26c8d5305befd61b39d2b3414e8a407bedc2834dea9b8d642666fb40a", size = 28686, upload-time = "2024-06-09T16:20:16.715Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "daytona"
|
||||
version = "0.140.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiofiles" },
|
||||
{ name = "daytona-api-client" },
|
||||
{ name = "daytona-api-client-async" },
|
||||
{ name = "daytona-toolbox-api-client" },
|
||||
{ name = "daytona-toolbox-api-client-async" },
|
||||
{ name = "deprecated" },
|
||||
{ name = "environs" },
|
||||
{ name = "httpx" },
|
||||
{ name = "multipart" },
|
||||
{ name = "obstore" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "toml" },
|
||||
{ name = "websockets" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/31/d4/4362b885f461ca2849f873c98e08594acb89d80ab82644ac88cdb4b7f8e9/daytona-0.140.0.tar.gz", hash = "sha256:8fa6dcc28ec735a9255d02cd98350b819fcf83daab866e688f659760c22bbfbf", size = 121616, upload-time = "2026-02-10T12:20:34.299Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/9e/18/531ec599ff19adc9561ebfc5bdc5e5483fbb47e00d392376e69a259ed384/daytona-0.140.0-py3-none-any.whl", hash = "sha256:93a85d2c76e7e3dccbd708784026a61cd977ebfde37ed0777966c2e702918662", size = 150607, upload-time = "2026-02-10T12:20:32.889Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "daytona-api-client"
|
||||
version = "0.140.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "pydantic" },
|
||||
{ name = "python-dateutil" },
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "urllib3" },
|
||||
]
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{ url = "https://files.pythonhosted.org/packages/1a/c7/8528ac2dfa2c1e6708f647df7ae144ead13f0a31146f43c7264b4942bf12/wrapt-2.1.2-py3-none-any.whl", hash = "sha256:b8fd6fa2b2c4e7621808f8c62e8317f4aae56e59721ad933bac5239d913cf0e8", size = 43993, upload-time = "2026-03-06T02:53:12.905Z" },
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]
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[[package]]
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@@ -9634,11 +9851,11 @@ wheels = [
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||||
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||||
[[package]]
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name = "zipp"
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version = "3.23.0"
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version = "3.23.1"
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source = { registry = "https://pypi.org/simple" }
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sdist = { url = "https://files.pythonhosted.org/packages/e3/02/0f2892c661036d50ede074e376733dca2ae7c6eb617489437771209d4180/zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166", size = 25547, upload-time = "2025-06-08T17:06:39.4Z" }
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sdist = { url = "https://files.pythonhosted.org/packages/30/21/093488dfc7cc8964ded15ab726fad40f25fd3d788fd741cc1c5a17d78ee8/zipp-3.23.1.tar.gz", hash = "sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110", size = 25965, upload-time = "2026-04-13T23:21:46.6Z" }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/2e/54/647ade08bf0db230bfea292f893923872fd20be6ac6f53b2b936ba839d75/zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e", size = 10276, upload-time = "2025-06-08T17:06:38.034Z" },
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{ url = "https://files.pythonhosted.org/packages/08/8a/0861bec20485572fbddf3dfba2910e38fe249796cb73ecdeb74e07eeb8d3/zipp-3.23.1-py3-none-any.whl", hash = "sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc", size = 10378, upload-time = "2026-04-13T23:21:45.386Z" },
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]
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|
||||
[[package]]
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||||
|
||||
Reference in New Issue
Block a user