docs: add file upload support documentation for flows

- Add 'File Inputs' section to flows.mdx documenting: - Using crewai-files types (ImageFile, PDFFile, etc.) in flow state - CrewAI Platform (AMP) automatic file upload dropzone rendering - API usage with URL string coercion via Pydantic - Update files.mdx with: - Example of file types in flow state - Note about CrewAI Platform integration for flows Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
fix: preserve method return value as flow output for @human_feedback with emit
2026-03-27 22:28:16 +00:00 · 2026-03-27 00:45:31 -07:00 · 2026-03-25 22:51:44 -07:00
27 changed files with 132 additions and 2872 deletions
--- a/.github/workflows/docs-broken-links.yml
+++ b/.github/workflows/docs-broken-links.yml
@@ -23,7 +23,7 @@ jobs:
      - name: Set up Node
        uses: actions/setup-node@v4
        with:
-          node-version: "22"
+          node-version: "latest"

      - name: Install Mintlify CLI
        run: npm i -g mintlify
--- a/docs/ar/changelog.mdx
+++ b/docs/ar/changelog.mdx
@@ -4,86 +4,6 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
 icon: "clock"
 mode: "wide"
 ---
-<Update label="27 مارس 2026">
-  ## v1.13.0rc1
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0rc1)
-
-  ## ما الذي تغير
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.13.0a2
-
-  ## المساهمون
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="27 مارس 2026">
-  ## v1.13.0a2
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a2)
-
-  ## ما الذي تغير
-
-  ### الميزات
-  - تحديث تلقائي لمستودع اختبار النشر أثناء الإصدار
-  - تحسين مرونة إصدار المؤسسات وتجربة المستخدم
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار للإصدار v1.13.0a1
-
-  ## المساهمون
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="27 مارس 2026">
-  ## v1.13.0a1
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a1)
-
-  ## ما الذي تغير
-
-  ### إصلاحات الأخطاء
-  - إصلاح الروابط المعطلة في سير العمل الوثائقي عن طريق تثبيت Node على LTS 22
-  - مسح ذاكرة التخزين المؤقت لـ uv للحزم المنشورة حديثًا في الإصدار المؤسسي
-
-  ### الوثائق
-  - إضافة مصفوفة شاملة لأذونات RBAC ودليل النشر
-  - تحديث سجل التغييرات والإصدار للإصدار v1.12.2
-
-  ## المساهمون
-
-  @greysonlalonde, @iris-clawd, @joaomdmoura
-
-</Update>
-
-<Update label="25 مارس 2026">
-  ## v1.12.2
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.12.2)
-
-  ## ما الذي تغير
-
-  ### الميزات
-  - إضافة مرحلة إصدار المؤسسات إلى إصدار أدوات المطورين
-
-  ### إصلاحات الأخطاء
-  - الحفاظ على قيمة إرجاع الطريقة كإخراج تدفق لـ @human_feedback مع emit
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.12.1
-  - مراجعة سياسة الأمان وتعليمات الإبلاغ
-
-  ## المساهمون
-
-  @alex-clawd, @greysonlalonde, @joaomdmoura, @theCyberTech
-
-</Update>
-
 <Update label="25 مارس 2026">
  ## v1.12.1

--- a/docs/docs.json
+++ b/docs/docs.json
--- a/docs/en/changelog.mdx
+++ b/docs/en/changelog.mdx
@@ -4,86 +4,6 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="Mar 27, 2026">
-  ## v1.13.0rc1
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0rc1)
-
-  ## What's Changed
-
-  ### Documentation
-  - Update changelog and version for v1.13.0a2
-
-  ## Contributors
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="Mar 27, 2026">
-  ## v1.13.0a2
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a2)
-
-  ## What's Changed
-
-  ### Features
-  - Auto-update deployment test repo during release
-  - Improve enterprise release resilience and UX
-
-  ### Documentation
-  - Update changelog and version for v1.13.0a1
-
-  ## Contributors
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="Mar 27, 2026">
-  ## v1.13.0a1
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a1)
-
-  ## What's Changed
-
-  ### Bug Fixes
-  - Fix broken links in documentation workflow by pinning Node to LTS 22
-  - Bust the uv cache for freshly published packages in enterprise release
-
-  ### Documentation
-  - Add comprehensive RBAC permissions matrix and deployment guide
-  - Update changelog and version for v1.12.2
-
-  ## Contributors
-
-  @greysonlalonde, @iris-clawd, @joaomdmoura
-
-</Update>
-
-<Update label="Mar 25, 2026">
-  ## v1.12.2
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.12.2)
-
-  ## What's Changed
-
-  ### Features
-  - Add enterprise release phase to devtools release
-
-  ### Bug Fixes
-  - Preserve method return value as flow output for @human_feedback with emit
-
-  ### Documentation
-  - Update changelog and version for v1.12.1
-  - Revise security policy and reporting instructions
-
-  ## Contributors
-
-  @alex-clawd, @greysonlalonde, @joaomdmoura, @theCyberTech
-
-</Update>
-
 <Update label="Mar 25, 2026">
  ## v1.12.1

--- a/docs/en/concepts/files.mdx
+++ b/docs/en/concepts/files.mdx
@@ -134,6 +134,29 @@ result = flow.kickoff(
 )
 ```

+You can also define file types directly in your flow state for structured file handling:
+
+```python
+from pydantic import BaseModel
+from crewai.flow.flow import Flow, start
+from crewai_files import ImageFile, PDFFile
+
+class DocumentState(BaseModel):
+    document: PDFFile
+    cover_image: ImageFile
+    title: str = ""
+
+class DocumentFlow(Flow[DocumentState]):
+    @start()
+    def process(self):
+        content = self.state.document.read()
+        return {"processed": True}
+```
+
+<Note type="info" title="CrewAI Platform Integration">
+When deploying flows to the CrewAI Platform (AMP), file fields in your state automatically render as file upload dropzones in the UI. For API usage, you can pass URL strings directly and Pydantic coerces them to file objects automatically. See [Flows - File Inputs](/en/concepts/flows#file-inputs) for details.
+</Note>
+
 ### With Standalone Agents

 Pass files directly to agent kickoff:
--- a/docs/en/concepts/flows.mdx
+++ b/docs/en/concepts/flows.mdx
@@ -341,6 +341,69 @@ flow.kickoff()

 By providing both unstructured and structured state management options, CrewAI Flows empowers developers to build AI workflows that are both flexible and robust, catering to a wide range of application requirements.

+## File Inputs
+
+Flows support file inputs through the `crewai-files` package, enabling you to build workflows that process images, PDFs, and other file types. When you use file types like `ImageFile` or `PDFFile` in your flow state, they integrate seamlessly with both local development and the CrewAI Platform.
+
+<Note type="info" title="Optional Dependency">
+File support requires the optional `crewai-files` package. Install it with:
+
+```bash
+uv add 'crewai[file-processing]'
+```
+</Note>
+
+### Using File Types in Flow State
+
+You can include file types directly in your structured flow state:
+
+```python
+from pydantic import BaseModel
+from crewai.flow.flow import Flow, start
+from crewai_files import ImageFile, PDFFile
+
+class DocumentProcessingState(BaseModel):
+    document: PDFFile        # Renders as file upload in CrewAI Platform
+    cover_image: ImageFile   # Renders as image upload
+    title: str = ""          # Renders as text input
+
+class DocumentFlow(Flow[DocumentProcessingState]):
+    @start()
+    def process_document(self):
+        # Access the file - works with URLs, paths, or uploaded files
+        content = self.state.document.read()
+        # Or pass to an agent with VisionTool, etc.
+        return {"processed": True}
+```
+
+### CrewAI Platform Integration
+
+When you deploy a flow to the CrewAI Platform (AMP), file fields in your state automatically render as file upload dropzones in the UI. This makes it easy to build user-facing applications that accept file uploads without any additional frontend work.
+
+| State Field Type | Platform UI Rendering |
+|:-----------------|:----------------------|
+| `ImageFile` | Image upload dropzone |
+| `PDFFile` | PDF upload dropzone |
+| `AudioFile` | Audio upload dropzone |
+| `VideoFile` | Video upload dropzone |
+| `TextFile` | Text file upload dropzone |
+| `str`, `int`, etc. | Standard form inputs |
+
+### API Usage
+
+When calling your flow via API, you can pass URL strings directly for file fields. Pydantic automatically coerces URLs into the appropriate file type:
+
+```python
+# API request body - URLs are automatically converted to file objects
+{
+    "document": "https://example.com/report.pdf",
+    "cover_image": "https://example.com/cover.png",
+    "title": "Q4 Report"
+}
+```
+
+For more details on file types, sources, and provider support, see the [Files documentation](/en/concepts/files).
+
 ## Flow Persistence

 The @persist decorator enables automatic state persistence in CrewAI Flows, allowing you to maintain flow state across restarts or different workflow executions. This decorator can be applied at either the class level or method level, providing flexibility in how you manage state persistence.
--- a/docs/en/enterprise/features/rbac.mdx
+++ b/docs/en/enterprise/features/rbac.mdx
@@ -7,13 +7,11 @@ mode: "wide"

 ## Overview

-RBAC in CrewAI AMP enables secure, scalable access management through two layers:
-
-1. **Feature permissions** — control what each role can do across the platform (manage, read, or no access)
-2. **Entity-level permissions** — fine-grained access on individual automations, environment variables, LLM connections, and Git repositories
+RBAC in CrewAI AMP enables secure, scalable access management through a combination of organization‑level roles and automation‑level visibility controls.

 <Frame>
  <img src="/images/enterprise/users_and_roles.png" alt="RBAC overview in CrewAI AMP" />
+
 </Frame>

 ## Users and Roles
@@ -41,13 +39,6 @@ You can configure users and roles in Settings → Roles.
  </Step>
 </Steps>

-### Predefined Roles
-
-| Role       | Description                                                                 |
-| :--------- | :-------------------------------------------------------------------------- |
-| **Owner**  | Full access to all features and settings. Cannot be restricted.             |
-| **Member** | Read access to most features, manage access to Studio projects. Cannot modify organization or default settings. |
-
 ### Configuration summary

 | Area                  | Where to configure                 | Options                                 |
@@ -55,80 +46,23 @@ You can configure users and roles in Settings → Roles.
 | Users & Roles         | Settings → Roles                   | Predefined: Owner, Member; Custom roles |
 | Automation visibility | Automation → Settings → Visibility | Private; Whitelist users/roles          |

---
+## Automation‑level Access Control

-## Feature Permissions Matrix
+In addition to organization‑wide roles, CrewAI Automations support fine‑grained visibility settings that let you restrict access to specific automations by user or role.

-Every role has a permission level for each feature area. The three levels are:
-
- **Manage** — full read/write access (create, edit, delete)
- **Read** — view-only access
- **No access** — feature is hidden/inaccessible
-
-| Feature                   | Owner   | Member (default) | Description                                                     |
-| :------------------------ | :------ | :--------------- | :-------------------------------------------------------------- |
-| `usage_dashboards`        | Manage  | Read             | View usage metrics and analytics                                |
-| `crews_dashboards`        | Manage  | Read             | View deployment dashboards, access automation details           |
-| `invitations`             | Manage  | Read             | Invite new members to the organization                          |
-| `training_ui`             | Manage  | Read             | Access training/fine-tuning interfaces                          |
-| `tools`                   | Manage  | Read             | Create and manage tools                                         |
-| `agents`                  | Manage  | Read             | Create and manage agents                                        |
-| `environment_variables`   | Manage  | Read             | Create and manage environment variables                         |
-| `llm_connections`         | Manage  | Read             | Configure LLM provider connections                              |
-| `default_settings`        | Manage  | No access        | Modify organization-wide default settings                       |
-| `organization_settings`   | Manage  | No access        | Manage billing, plans, and organization configuration           |
-| `studio_projects`         | Manage  | Manage           | Create and edit projects in Studio                              |
-
-<Tip>
-  When creating a custom role, you can set each feature independently to **Manage**, **Read**, or **No access** to match your team's needs.
-</Tip>
-
---
-
-## Deploying from GitHub or Zip
-
-One of the most common RBAC questions is: _"What permissions does a team member need to deploy?"_
-
-### Deploy from GitHub
-
-To deploy an automation from a GitHub repository, a user needs:
-
-1. **`crews_dashboards`**: at least `Read` — required to access the automations dashboard where deployments are created
-2. **Git repository access** (if entity-level RBAC for Git repositories is enabled): the user's role must be granted access to the specific Git repository via entity-level permissions
-3. **`studio_projects`: `Manage`** — if building the crew in Studio before deploying
-
-### Deploy from Zip
-
-To deploy an automation from a Zip file upload, a user needs:
-
-1. **`crews_dashboards`**: at least `Read` — required to access the automations dashboard
-2. **Zip deployments enabled**: the organization must not have disabled zip deployments in organization settings
-
-### Quick Reference: Minimum Permissions for Deployment
-
-| Action               | Required feature permissions          | Additional requirements                          |
-| :------------------- | :------------------------------------ | :----------------------------------------------- |
-| Deploy from GitHub   | `crews_dashboards: Read`              | Git repo entity access (if Git RBAC is enabled)  |
-| Deploy from Zip      | `crews_dashboards: Read`              | Zip deployments must be enabled at the org level |
-| Build in Studio      | `studio_projects: Manage`             | —                                                |
-| Configure LLM keys   | `llm_connections: Manage`             | —                                                |
-| Set environment vars  | `environment_variables: Manage`       | Entity-level access (if entity RBAC is enabled)  |
-
---
-
-## Automation‑level Access Control (Entity Permissions)
-
-In addition to organization‑wide roles, CrewAI supports fine‑grained entity-level permissions that restrict access to individual resources.
-
-### Automation Visibility
-
-Automations support visibility settings that restrict access by user or role. This is useful for:
+This is useful for:

 - Keeping sensitive or experimental automations private
 - Managing visibility across large teams or external collaborators
 - Testing automations in isolated contexts

-Deployments can be configured as private, meaning only whitelisted users and roles will be able to interact with them.
+Deployments can be configured as private, meaning only whitelisted users and roles will be able to:
+
+- View the deployment
+- Run it or interact with its API
+- Access its logs, metrics, and settings
+
+The organization owner always has access, regardless of visibility settings.

 You can configure automation‑level access control in Automation → Settings → Visibility tab.

@@ -165,92 +99,9 @@ You can configure automation‑level access control in Automation → Settings

 <Frame>
  <img src="/images/enterprise/visibility.png" alt="Automation Visibility settings in CrewAI AMP" />
+
 </Frame>

-### Deployment Permission Types
-
-When granting entity-level access to a specific automation, you can assign these permission types:
-
-| Permission           | What it allows                                      |
-| :------------------- | :-------------------------------------------------- |
-| `run`                | Execute the automation and use its API               |
-| `traces`             | View execution traces and logs                       |
-| `manage_settings`    | Edit, redeploy, rollback, or delete the automation   |
-| `human_in_the_loop`  | Respond to human-in-the-loop (HITL) requests         |
-| `full_access`        | All of the above                                     |
-
-### Entity-level RBAC for Other Resources
-
-When entity-level RBAC is enabled, access to these resources can also be controlled per user or role:
-
-| Resource               | Controlled by                    | Description                                           |
-| :--------------------- | :------------------------------- | :---------------------------------------------------- |
-| Environment variables  | Entity RBAC feature flag         | Restrict which roles/users can view or manage specific env vars |
-| LLM connections        | Entity RBAC feature flag         | Restrict access to specific LLM provider configurations |
-| Git repositories       | Git repositories RBAC org setting | Restrict which roles/users can access specific connected repos |
-
---
-
-## Common Role Patterns
-
-While CrewAI ships with Owner and Member roles, most teams benefit from creating custom roles. Here are common patterns:
-
-### Developer Role
-
-A role for team members who build and deploy automations but don't manage organization settings.
-
-| Feature                   | Permission |
-| :------------------------ | :--------- |
-| `usage_dashboards`        | Read       |
-| `crews_dashboards`        | Manage     |
-| `invitations`             | Read       |
-| `training_ui`             | Read       |
-| `tools`                   | Manage     |
-| `agents`                  | Manage     |
-| `environment_variables`   | Manage     |
-| `llm_connections`         | Read       |
-| `default_settings`        | No access  |
-| `organization_settings`   | No access  |
-| `studio_projects`         | Manage     |
-
-### Viewer / Stakeholder Role
-
-A role for non-technical stakeholders who need to monitor automations and view results.
-
-| Feature                   | Permission |
-| :------------------------ | :--------- |
-| `usage_dashboards`        | Read       |
-| `crews_dashboards`        | Read       |
-| `invitations`             | No access  |
-| `training_ui`             | Read       |
-| `tools`                   | Read       |
-| `agents`                  | Read       |
-| `environment_variables`   | No access  |
-| `llm_connections`         | No access  |
-| `default_settings`        | No access  |
-| `organization_settings`   | No access  |
-| `studio_projects`         | Read       |
-
-### Ops / Platform Admin Role
-
-A role for platform operators who manage infrastructure settings but may not build agents.
-
-| Feature                   | Permission |
-| :------------------------ | :--------- |
-| `usage_dashboards`        | Manage     |
-| `crews_dashboards`        | Manage     |
-| `invitations`             | Manage     |
-| `training_ui`             | Read       |
-| `tools`                   | Read       |
-| `agents`                  | Read       |
-| `environment_variables`   | Manage     |
-| `llm_connections`         | Manage     |
-| `default_settings`        | Manage     |
-| `organization_settings`   | Read       |
-| `studio_projects`         | Read       |
-
---
-
 <Card title="Need Help?" icon="headset" href="mailto:support@crewai.com">
  Contact our support team for assistance with RBAC questions.
 </Card>
--- a/docs/ko/changelog.mdx
+++ b/docs/ko/changelog.mdx
@@ -4,86 +4,6 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="2026년 3월 27일">
-  ## v1.13.0rc1
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0rc1)
-
-  ## 변경 사항
-
-  ### 문서
-  - v1.13.0a2의 변경 로그 및 버전 업데이트
-
-  ## 기여자
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="2026년 3월 27일">
-  ## v1.13.0a2
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a2)
-
-  ## 변경 사항
-
-  ### 기능
-  - 릴리스 중 자동 업데이트 배포 테스트 리포지토리
-  - 기업 릴리스의 복원력 및 사용자 경험 개선
-
-  ### 문서
-  - v1.13.0a1에 대한 변경 로그 및 버전 업데이트
-
-  ## 기여자
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="2026년 3월 27일">
-  ## v1.13.0a1
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a1)
-
-  ## 변경 사항
-
-  ### 버그 수정
-  - Node를 LTS 22로 고정하여 문서 작업 흐름의 끊어진 링크 수정
-  - 기업 릴리스에서 새로 게시된 패키지의 uv 캐시 초기화
-
-  ### 문서
-  - 포괄적인 RBAC 권한 매트릭스 및 배포 가이드 추가
-  - v1.12.2에 대한 변경 로그 및 버전 업데이트
-
-  ## 기여자
-
-  @greysonlalonde, @iris-clawd, @joaomdmoura
-
-</Update>
-
-<Update label="2026년 3월 25일">
-  ## v1.12.2
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.12.2)
-
-  ## 변경 사항
-
-  ### 기능
-  - devtools 릴리스에 기업 릴리스 단계 추가
-
-  ### 버그 수정
-  - @human_feedback과 함께 emit을 사용할 때 메서드 반환 값을 흐름 출력으로 유지
-
-  ### 문서
-  - v1.12.1에 대한 변경 로그 및 버전 업데이트
-  - 보안 정책 및 보고 지침 수정
-
-  ## 기여자
-
-  @alex-clawd, @greysonlalonde, @joaomdmoura, @theCyberTech
-
-</Update>
-
 <Update label="2026년 3월 25일">
  ## v1.12.1

--- a/docs/pt-BR/changelog.mdx
+++ b/docs/pt-BR/changelog.mdx
@@ -4,86 +4,6 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="27 mar 2026">
-  ## v1.13.0rc1
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0rc1)
-
-  ## O que Mudou
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.13.0a2
-
-  ## Contribuidores
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="27 mar 2026">
-  ## v1.13.0a2
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a2)
-
-  ## O que Mudou
-
-  ### Recursos
-  - Repositório de teste de implantação de autoatualização durante o lançamento
-  - Melhorar a resiliência e a experiência do usuário na versão empresarial
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.13.0a1
-
-  ## Contribuidores
-
-  @greysonlalonde
-
-</Update>
-
-<Update label="27 mar 2026">
-  ## v1.13.0a1
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.13.0a1)
-
-  ## O que Mudou
-
-  ### Correções de Bugs
-  - Corrigir links quebrados no fluxo de documentação fixando o Node na LTS 22
-  - Limpar o cache uv para pacotes recém-publicados na versão empresarial
-
-  ### Documentação
-  - Adicionar uma matriz abrangente de permissões RBAC e guia de implantação
-  - Atualizar o changelog e a versão para v1.12.2
-
-  ## Contributors
-
-  @greysonlalonde, @iris-clawd, @joaomdmoura
-
-</Update>
-
-<Update label="25 mar 2026">
-  ## v1.12.2
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.12.2)
-
-  ## O que Mudou
-
-  ### Recursos
-  - Adicionar fase de lançamento empresarial ao lançamento do devtools
-
-  ### Correções de Bugs
-  - Preservar o valor de retorno do método como saída de fluxo para @human_feedback com emit
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.12.1
-  - Revisar política de segurança e instruções de relatório
-
-  ## Contributors
-
-  @alex-clawd, @greysonlalonde, @joaomdmoura, @theCyberTech
-
-</Update>
-
 <Update label="25 mar 2026">
  ## v1.12.1

--- a/lib/crewai-files/src/crewai_files/init.py
+++ b/lib/crewai-files/src/crewai_files/init.py
@@ -152,4 +152,4 @@ __all__ = [
    "wrap_file_source",
 ]

-__version__ = "1.13.0rc1"
+__version__ = "1.12.1"
--- a/lib/crewai-tools/pyproject.toml
+++ b/lib/crewai-tools/pyproject.toml
@@ -11,7 +11,7 @@ dependencies = [
    "pytube~=15.0.0",
    "requests~=2.32.5",
    "docker~=7.1.0",
-    "crewai==1.13.0rc1",
+    "crewai==1.12.1",
    "tiktoken~=0.8.0",
    "beautifulsoup4~=4.13.4",
    "python-docx~=1.2.0",
--- a/lib/crewai-tools/src/crewai_tools/init.py
+++ b/lib/crewai-tools/src/crewai_tools/init.py
@@ -309,4 +309,4 @@ __all__ = [
    "ZapierActionTools",
 ]

-__version__ = "1.13.0rc1"
+__version__ = "1.12.1"
--- a/lib/crewai/pyproject.toml
+++ b/lib/crewai/pyproject.toml
@@ -54,7 +54,7 @@ Repository = "https://github.com/crewAIInc/crewAI"

 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.13.0rc1",
+    "crewai-tools==1.12.1",
 ]
 embeddings = [
    "tiktoken~=0.8.0"
--- a/lib/crewai/src/crewai/init.py
+++ b/lib/crewai/src/crewai/init.py
@@ -42,7 +42,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:

 _suppress_pydantic_deprecation_warnings()

-__version__ = "1.13.0rc1"
+__version__ = "1.12.1"
 _telemetry_submitted = False


--- a/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/crew/pyproject.toml
@@ -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]==1.13.0rc1"
+    "crewai[tools]==1.12.1"
 ]

 [project.scripts]
--- a/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/flow/pyproject.toml
@@ -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]==1.13.0rc1"
+    "crewai[tools]==1.12.1"
 ]

 [project.scripts]
--- a/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml
+++ b/lib/crewai/src/crewai/cli/templates/tool/pyproject.toml
@@ -5,7 +5,7 @@ description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
 requires-python = ">=3.10,<3.14"
 dependencies = [
-    "crewai[tools]==1.13.0rc1"
+    "crewai[tools]==1.12.1"
 ]

 [tool.crewai]
--- a/lib/crewai/src/crewai/flow/flow.py
+++ b/lib/crewai/src/crewai/flow/flow.py
@@ -883,9 +883,7 @@ class Flow(Generic[T], metaclass=FlowMeta):
        self.human_feedback_history: list[HumanFeedbackResult] = []
        self.last_human_feedback: HumanFeedbackResult | None = None
        self._pending_feedback_context: PendingFeedbackContext | None = None
-        # Per-method stash for real @human_feedback output (keyed by method name)
-        # Used to decouple routing outcome from method return value when emit is set
-        self._human_feedback_method_outputs: dict[str, Any] = {}
+        self._human_feedback_method_output: Any = None  # Stashed real output from @human_feedback with emit
        self.suppress_flow_events: bool = suppress_flow_events

        # User input history (for self.ask())
@@ -2297,12 +2295,10 @@ class Flow(Generic[T], metaclass=FlowMeta):
            # For @human_feedback methods with emit, the result is the collapsed outcome
            # (e.g., "approved") used for routing. But we want the actual method output
            # to be the stored result (for final flow output). Replace the last entry
-            # if a stashed output exists. Dict-based stash is concurrency-safe and
-            # handles None return values (presence in dict = stashed, not value).
-            if method_name in self._human_feedback_method_outputs:
-                self._method_outputs[-1] = self._human_feedback_method_outputs.pop(
-                    method_name
-                )
+            # if a stashed output exists.
+            if self._human_feedback_method_output is not None:
+                self._method_outputs[-1] = self._human_feedback_method_output
+                self._human_feedback_method_output = None

            self._method_execution_counts[method_name] = (
                self._method_execution_counts.get(method_name, 0) + 1
--- a/lib/crewai/src/crewai/flow/human_feedback.py
+++ b/lib/crewai/src/crewai/flow/human_feedback.py
@@ -594,9 +594,8 @@ def human_feedback(
                # Stash the real method output for final flow result when emit is set
                # (result is the collapsed outcome string for routing, but we want to
                # preserve the actual method output as the flow's final result)
-                # Uses per-method dict for concurrency safety and to handle None returns
                if emit:
-                    self._human_feedback_method_outputs[func.__name__] = method_output
+                    self._human_feedback_method_output = method_output

                return result

@@ -625,9 +624,8 @@ def human_feedback(
                # Stash the real method output for final flow result when emit is set
                # (result is the collapsed outcome string for routing, but we want to
                # preserve the actual method output as the flow's final result)
-                # Uses per-method dict for concurrency safety and to handle None returns
                if emit:
-                    self._human_feedback_method_outputs[func.__name__] = method_output
+                    self._human_feedback_method_output = method_output

                return result

--- a/lib/crewai/src/crewai/llm.py
+++ b/lib/crewai/src/crewai/llm.py
@@ -753,7 +753,7 @@ class LLM(BaseLLM):
            "temperature": self.temperature,
            "top_p": self.top_p,
            "n": self.n,
-            "stop": (self.stop or None) if self.supports_stop_words() else None,
+            "stop": self.stop or None,
            "max_tokens": self.max_tokens or self.max_completion_tokens,
            "presence_penalty": self.presence_penalty,
            "frequency_penalty": self.frequency_penalty,
@@ -1825,11 +1825,9 @@ class LLM(BaseLLM):
                    # whether to summarize the content or abort based on the respect_context_window flag
                    raise
                except Exception as e:
-                    error_str = str(e)
-                    unsupported_stop = "'stop'" in error_str and (
-                        "Unsupported parameter" in error_str
-                        or "does not support parameters" in error_str
-                    )
+                    unsupported_stop = "Unsupported parameter" in str(
+                        e
+                    ) and "'stop'" in str(e)

                    if unsupported_stop:
                        if (
@@ -1963,11 +1961,9 @@ class LLM(BaseLLM):
                except LLMContextLengthExceededError:
                    raise
                except Exception as e:
-                    error_str = str(e)
-                    unsupported_stop = "'stop'" in error_str and (
-                        "Unsupported parameter" in error_str
-                        or "does not support parameters" in error_str
-                    )
+                    unsupported_stop = "Unsupported parameter" in str(
+                        e
+                    ) and "'stop'" in str(e)

                    if unsupported_stop:
                        if (
@@ -2267,10 +2263,6 @@ class LLM(BaseLLM):
        Note: This method is only used by the litellm fallback path.
        Native providers override this method with their own implementation.
        """
-        model_lower = self.model.lower() if self.model else ""
-        if "gpt-5" in model_lower:
-            return False
-
        if not LITELLM_AVAILABLE or get_supported_openai_params is None:
            # When litellm is not available, assume stop words are supported
            return True
--- a/lib/crewai/src/crewai/llms/providers/openai/completion.py
+++ b/lib/crewai/src/crewai/llms/providers/openai/completion.py
@@ -2245,9 +2245,6 @@ class OpenAICompletion(BaseLLM):

    def supports_stop_words(self) -> bool:
        """Check if the model supports stop words."""
-        model_lower = self.model.lower() if self.model else ""
-        if "gpt-5" in model_lower:
-            return False
        return not self.is_o1_model

    def get_context_window_size(self) -> int:
--- a/lib/crewai/tests/cassettes/test_litellm_gpt5_call_succeeds_without_stop_error.yaml
+++ b/lib/crewai/tests/cassettes/test_litellm_gpt5_call_succeeds_without_stop_error.yaml
@@ -1,110 +0,0 @@
-interactions:
- request:
-    body: '{"messages":[{"role":"user","content":"What is the capital of France?"}],"model":"gpt-5"}'
-    headers:
-      User-Agent:
-      - X-USER-AGENT-XXX
-      accept:
-      - application/json
-      accept-encoding:
-      - ACCEPT-ENCODING-XXX
-      authorization:
-      - AUTHORIZATION-XXX
-      connection:
-      - keep-alive
-      content-length:
-      - '89'
-      content-type:
-      - application/json
-      host:
-      - api.openai.com
-      x-stainless-arch:
-      - X-STAINLESS-ARCH-XXX
-      x-stainless-async:
-      - 'false'
-      x-stainless-lang:
-      - python
-      x-stainless-os:
-      - X-STAINLESS-OS-XXX
-      x-stainless-package-version:
-      - 1.83.0
-      x-stainless-raw-response:
-      - 'true'
-      x-stainless-read-timeout:
-      - X-STAINLESS-READ-TIMEOUT-XXX
-      x-stainless-retry-count:
-      - '0'
-      x-stainless-runtime:
-      - CPython
-      x-stainless-runtime-version:
-      - 3.13.2
-    method: POST
-    uri: https://api.openai.com/v1/chat/completions
-  response:
-    body:
-      string: "{\n  \"id\": \"chatcmpl-DO4LcSpy72yIXCYSIVOQEXWNXydgn\",\n  \"object\":
-        \"chat.completion\",\n  \"created\": 1774628956,\n  \"model\": \"gpt-5-2025-08-07\",\n
-        \ \"choices\": [\n    {\n      \"index\": 0,\n      \"message\": {\n        \"role\":
-        \"assistant\",\n        \"content\": \"Paris.\",\n        \"refusal\": null,\n
-        \       \"annotations\": []\n      },\n      \"finish_reason\": \"stop\"\n
-        \   }\n  ],\n  \"usage\": {\n    \"prompt_tokens\": 13,\n    \"completion_tokens\":
-        11,\n    \"total_tokens\": 24,\n    \"prompt_tokens_details\": {\n      \"cached_tokens\":
-        0,\n      \"audio_tokens\": 0\n    },\n    \"completion_tokens_details\":
-        {\n      \"reasoning_tokens\": 0,\n      \"audio_tokens\": 0,\n      \"accepted_prediction_tokens\":
-        0,\n      \"rejected_prediction_tokens\": 0\n    }\n  },\n  \"service_tier\":
-        \"default\",\n  \"system_fingerprint\": null\n}\n"
-    headers:
-      CF-Cache-Status:
-      - DYNAMIC
-      CF-Ray:
-      - 9e2fc5dce85582fb-GIG
-      Connection:
-      - keep-alive
-      Content-Type:
-      - application/json
-      Date:
-      - Fri, 27 Mar 2026 16:29:17 GMT
-      Server:
-      - cloudflare
-      Strict-Transport-Security:
-      - STS-XXX
-      Transfer-Encoding:
-      - chunked
-      X-Content-Type-Options:
-      - X-CONTENT-TYPE-XXX
-      access-control-expose-headers:
-      - ACCESS-CONTROL-XXX
-      alt-svc:
-      - h3=":443"; ma=86400
-      content-length:
-      - '772'
-      openai-organization:
-      - OPENAI-ORG-XXX
-      openai-processing-ms:
-      - '1343'
-      openai-project:
-      - OPENAI-PROJECT-XXX
-      openai-version:
-      - '2020-10-01'
-      set-cookie:
-      - SET-COOKIE-XXX
-      x-openai-proxy-wasm:
-      - v0.1
-      x-ratelimit-limit-requests:
-      - X-RATELIMIT-LIMIT-REQUESTS-XXX
-      x-ratelimit-limit-tokens:
-      - X-RATELIMIT-LIMIT-TOKENS-XXX
-      x-ratelimit-remaining-requests:
-      - X-RATELIMIT-REMAINING-REQUESTS-XXX
-      x-ratelimit-remaining-tokens:
-      - X-RATELIMIT-REMAINING-TOKENS-XXX
-      x-ratelimit-reset-requests:
-      - X-RATELIMIT-RESET-REQUESTS-XXX
-      x-ratelimit-reset-tokens:
-      - X-RATELIMIT-RESET-TOKENS-XXX
-      x-request-id:
-      - X-REQUEST-ID-XXX
-    status:
-      code: 200
-      message: OK
-version: 1
--- a/lib/crewai/tests/llms/openai/test_openai.py
+++ b/lib/crewai/tests/llms/openai/test_openai.py
@@ -1523,69 +1523,6 @@ def test_openai_stop_words_not_applied_to_structured_output():
    assert "Observation:" in result.observation


-def test_openai_gpt5_models_do_not_support_stop_words():
-    """
-    Test that GPT-5 family models do not support stop words via the API.
-    GPT-5 models reject the 'stop' parameter, so stop words must be
-    applied client-side only.
-    """
-    gpt5_models = [
-        "gpt-5",
-        "gpt-5-mini",
-        "gpt-5-nano",
-        "gpt-5-pro",
-        "gpt-5.1",
-        "gpt-5.1-chat",
-        "gpt-5.2",
-        "gpt-5.2-chat",
-    ]
-
-    for model_name in gpt5_models:
-        llm = OpenAICompletion(model=model_name)
-        assert llm.supports_stop_words() == False, (
-            f"Expected {model_name} to NOT support stop words"
-        )
-
-
-def test_openai_non_gpt5_models_support_stop_words():
-    """
-    Test that non-GPT-5 models still support stop words normally.
-    """
-    supported_models = [
-        "gpt-4o",
-        "gpt-4o-mini",
-        "gpt-4.1",
-        "gpt-4.1-mini",
-        "gpt-4-turbo",
-    ]
-
-    for model_name in supported_models:
-        llm = OpenAICompletion(model=model_name)
-        assert llm.supports_stop_words() == True, (
-            f"Expected {model_name} to support stop words"
-        )
-
-
-def test_openai_gpt5_still_applies_stop_words_client_side():
-    """
-    Test that GPT-5 models still truncate responses at stop words client-side
-    via _apply_stop_words(), even though they don't send 'stop' to the API.
-    """
-    llm = OpenAICompletion(
-        model="gpt-5.2",
-        stop=["Observation:", "Final Answer:"],
-    )
-
-    assert llm.supports_stop_words() == False
-
-    response = "I need to search.\n\nAction: search\nObservation: Found results"
-    result = llm._apply_stop_words(response)
-
-    assert "Observation:" not in result
-    assert "Found results" not in result
-    assert "I need to search" in result
-
-
 def test_openai_stop_words_still_applied_to_regular_responses():
    """
    Test that stop words ARE still applied for regular (non-structured) responses.
--- a/lib/crewai/tests/test_human_feedback_decorator.py
+++ b/lib/crewai/tests/test_human_feedback_decorator.py
@@ -726,31 +726,3 @@ class TestHumanFeedbackFinalOutputPreservation:
        # _method_outputs should contain the real output
        assert len(flow._method_outputs) == 1
        assert flow._method_outputs[0] == {"data": "real output"}
-
-    @patch("builtins.input", return_value="looks good")
-    @patch("builtins.print")
-    def test_none_return_value_is_preserved(self, mock_print, mock_input):
-        """A method returning None should preserve None as flow output, not the outcome string."""
-
-        class NoneReturnFlow(Flow):
-            @start()
-            @human_feedback(
-                message="Review:",
-                emit=["approved", "rejected"],
-                llm="gpt-4o-mini",
-            )
-            def process(self):
-                # Method does work but returns None (implicit)
-                pass
-
-        flow = NoneReturnFlow()
-
-        with (
-            patch.object(flow, "_request_human_feedback", return_value=""),
-            patch.object(flow, "_collapse_to_outcome", return_value="approved"),
-        ):
-            result = flow.kickoff()
-
-        # Final output should be None (the method's real return), not "approved"
-        assert result is None, f"Expected None, got {result!r}"
-        assert flow.last_human_feedback.outcome == "approved"
--- a/lib/crewai/tests/test_llm.py
+++ b/lib/crewai/tests/test_llm.py
@@ -682,126 +682,6 @@ def test_llm_call_when_stop_is_unsupported_when_additional_drop_params_is_provid
    assert "Paris" in result


-@pytest.mark.vcr()
-def test_litellm_gpt5_call_succeeds_without_stop_error():
-    """
-    Integration test: GPT-5 call succeeds when stop words are configured,
-    because stop is omitted from API params and applied client-side.
-    """
-    llm = LLM(model="gpt-5", stop=["Observation:"], is_litellm=True)
-    result = llm.call("What is the capital of France?")
-    assert isinstance(result, str)
-    assert len(result) > 0
-
-
-def test_litellm_gpt5_does_not_send_stop_in_params():
-    """
-    Test that the LiteLLM fallback path does not include 'stop' in API params
-    for GPT-5.x models, since they reject it at the API level.
-    """
-    llm = LLM(model="openai/gpt-5.2", stop=["Observation:"], is_litellm=True)
-
-    params = llm._prepare_completion_params(
-        messages=[{"role": "user", "content": "Hello"}]
-    )
-
-    assert params.get("stop") is None, (
-        "GPT-5.x models should not have 'stop' in API params"
-    )
-
-
-def test_litellm_non_gpt5_sends_stop_in_params():
-    """
-    Test that the LiteLLM fallback path still includes 'stop' in API params
-    for models that support it.
-    """
-    llm = LLM(model="gpt-4o", stop=["Observation:"], is_litellm=True)
-
-    params = llm._prepare_completion_params(
-        messages=[{"role": "user", "content": "Hello"}]
-    )
-
-    assert params.get("stop") == ["Observation:"], (
-        "Non-GPT-5 models should have 'stop' in API params"
-    )
-
-
-def test_litellm_retry_catches_litellm_unsupported_params_error(caplog):
-    """
-    Test that the retry logic catches LiteLLM's UnsupportedParamsError format
-    ("does not support parameters") in addition to the OpenAI API format.
-    """
-    llm = LLM(model="openai/gpt-5.2", stop=["Observation:"], is_litellm=True)
-
-    litellm_error = Exception(
-        "litellm.UnsupportedParamsError: openai does not support parameters: "
-        "['stop'], for model=openai/gpt-5.2."
-    )
-
-    call_count = 0
-
-    try:
-        import litellm
-    except ImportError:
-        pytest.skip("litellm is not installed; skipping LiteLLM retry test")
-
-    def mock_completion(*args, **kwargs):
-        nonlocal call_count
-        call_count += 1
-        if call_count == 1:
-            raise litellm_error
-        return MagicMock(
-            choices=[MagicMock(message=MagicMock(content="Paris", tool_calls=None))],
-            usage=MagicMock(
-                prompt_tokens=10,
-                completion_tokens=5,
-                total_tokens=15,
-            ),
-        )
-
-    with patch("litellm.completion", side_effect=mock_completion):
-        with caplog.at_level(logging.INFO):
-            result = llm.call("What is the capital of France?")
-
-    assert "Retrying LLM call without the unsupported 'stop'" in caplog.text
-    assert "stop" in llm.additional_params.get("additional_drop_params", [])
-
-
-def test_litellm_retry_catches_openai_api_stop_error(caplog):
-    """
-    Test that the retry logic still catches the OpenAI API error format
-    ("Unsupported parameter: 'stop'").
-    """
-    llm = LLM(model="openai/gpt-5.2", stop=["Observation:"], is_litellm=True)
-
-    api_error = Exception(
-        "Unsupported parameter: 'stop' is not supported with this model."
-    )
-
-    call_count = 0
-
-    def mock_completion(*args, **kwargs):
-        nonlocal call_count
-        call_count += 1
-        if call_count == 1:
-            raise api_error
-        return MagicMock(
-            choices=[MagicMock(message=MagicMock(content="Paris", tool_calls=None))],
-            usage=MagicMock(
-                prompt_tokens=10,
-                completion_tokens=5,
-                total_tokens=15,
-            ),
-        )
-
-    with patch("litellm.completion", side_effect=mock_completion):
-        with caplog.at_level(logging.INFO):
-            llm.call("What is the capital of France?")
-
-    assert "Retrying LLM call without the unsupported 'stop'" in caplog.text
-    assert "stop" in llm.additional_params.get("additional_drop_params", [])
-
-
@pytest.fixture
 def ollama_llm():
    return LLM(model="ollama/llama3.2:3b", is_litellm=True)
--- a/lib/devtools/src/crewai_devtools/init.py
+++ b/lib/devtools/src/crewai_devtools/init.py
@@ -1,3 +1,3 @@
 """CrewAI development tools."""

-__version__ = "1.13.0rc1"
+__version__ = "1.12.1"
--- a/lib/devtools/src/crewai_devtools/cli.py
+++ b/lib/devtools/src/crewai_devtools/cli.py
@@ -156,33 +156,6 @@ def update_version_in_file(file_path: Path, new_version: str) -> bool:
    return False


-def update_pyproject_version(file_path: Path, new_version: str) -> bool:
-    """Update the [project] version field in a pyproject.toml file.
-
-    Args:
-        file_path: Path to pyproject.toml file.
-        new_version: New version string.
-
-    Returns:
-        True if version was updated, False otherwise.
-    """
-    if not file_path.exists():
-        return False
-
-    content = file_path.read_text()
-    new_content = re.sub(
-        r'^(version\s*=\s*")[^"]+(")',
-        rf"\g<1>{new_version}\2",
-        content,
-        count=1,
-        flags=re.MULTILINE,
-    )
-    if new_content != content:
-        file_path.write_text(new_content)
-        return True
-    return False
-
-
 _DEFAULT_WORKSPACE_PACKAGES: Final[list[str]] = [
    "crewai",
    "crewai-tools",
@@ -1072,84 +1045,10 @@ def _update_enterprise_crewai_dep(pyproject_path: Path, version: str) -> bool:
    return False


-_DEPLOYMENT_TEST_REPO: Final[str] = "crewAIInc/crew_deployment_test"
-
 _PYPI_POLL_INTERVAL: Final[int] = 15
 _PYPI_POLL_TIMEOUT: Final[int] = 600


-def _update_deployment_test_repo(version: str, is_prerelease: bool) -> None:
-    """Update the deployment test repo to pin the new crewai version.
-
-    Clones the repo, updates the crewai[tools] pin in pyproject.toml,
-    regenerates the lockfile, commits, and pushes directly to main.
-
-    Args:
-        version: New crewai version string.
-        is_prerelease: Whether this is a pre-release version.
-    """
-    console.print(
-        f"\n[bold cyan]Updating {_DEPLOYMENT_TEST_REPO} to {version}[/bold cyan]"
-    )
-
-    with tempfile.TemporaryDirectory() as tmp:
-        repo_dir = Path(tmp) / "crew_deployment_test"
-        run_command(["gh", "repo", "clone", _DEPLOYMENT_TEST_REPO, str(repo_dir)])
-        console.print(f"[green]✓[/green] Cloned {_DEPLOYMENT_TEST_REPO}")
-
-        pyproject = repo_dir / "pyproject.toml"
-        content = pyproject.read_text()
-        new_content = re.sub(
-            r'"crewai\[tools\]==[^"]+"',
-            f'"crewai[tools]=={version}"',
-            content,
-        )
-        if new_content == content:
-            console.print(
-                "[yellow]Warning:[/yellow] No crewai[tools] pin found to update"
-            )
-            return
-        pyproject.write_text(new_content)
-        console.print(f"[green]✓[/green] Updated crewai[tools] pin to {version}")
-
-        lock_cmd = [
-            "uv",
-            "lock",
-            "--refresh-package",
-            "crewai",
-            "--refresh-package",
-            "crewai-tools",
-        ]
-        if is_prerelease:
-            lock_cmd.append("--prerelease=allow")
-
-        max_retries = 10
-        for attempt in range(1, max_retries + 1):
-            try:
-                run_command(lock_cmd, cwd=repo_dir)
-                break
-            except subprocess.CalledProcessError:
-                if attempt == max_retries:
-                    console.print(
-                        f"[red]Error:[/red] uv lock failed after {max_retries} attempts"
-                    )
-                    raise
-                console.print(
-                    f"[yellow]uv lock failed (attempt {attempt}/{max_retries}),"
-                    f" retrying in {_PYPI_POLL_INTERVAL}s...[/yellow]"
-                )
-                time.sleep(_PYPI_POLL_INTERVAL)
-        console.print("[green]✓[/green] Lockfile updated")
-
-        run_command(["git", "add", "pyproject.toml", "uv.lock"], cwd=repo_dir)
-        run_command(
-            ["git", "commit", "-m", f"chore: bump crewai to {version}"],
-            cwd=repo_dir,
-        )
-        run_command(["git", "push"], cwd=repo_dir)
-        console.print(f"[green]✓[/green] Pushed to {_DEPLOYMENT_TEST_REPO}")
-
-
 def _wait_for_pypi(package: str, version: str) -> None:
    """Poll PyPI until a specific package version is available.

@@ -1242,11 +1141,6 @@ def _release_enterprise(version: str, is_prerelease: bool, dry_run: bool) -> Non

            pyproject = pkg_dir / "pyproject.toml"
            if pyproject.exists():
-                if update_pyproject_version(pyproject, version):
-                    console.print(
-                        f"[green]✓[/green] Updated version in: "
-                        f"{pyproject.relative_to(repo_dir)}"
-                    )
                if update_pyproject_dependencies(
                    pyproject, version, extra_packages=list(_ENTERPRISE_EXTRA_PACKAGES)
                ):
@@ -1265,35 +1159,7 @@ def _release_enterprise(version: str, is_prerelease: bool, dry_run: bool) -> Non
        _wait_for_pypi("crewai", version)

        console.print("\nSyncing workspace...")
-        sync_cmd = [
-            "uv",
-            "sync",
-            "--refresh-package",
-            "crewai",
-            "--refresh-package",
-            "crewai-tools",
-            "--refresh-package",
-            "crewai-files",
-        ]
-        if is_prerelease:
-            sync_cmd.append("--prerelease=allow")
-
-        max_retries = 10
-        for attempt in range(1, max_retries + 1):
-            try:
-                run_command(sync_cmd, cwd=repo_dir)
-                break
-            except subprocess.CalledProcessError:
-                if attempt == max_retries:
-                    console.print(
-                        f"[red]Error:[/red] uv sync failed after {max_retries} attempts"
-                    )
-                    raise
-                console.print(
-                    f"[yellow]uv sync failed (attempt {attempt}/{max_retries}),"
-                    f" retrying in {_PYPI_POLL_INTERVAL}s...[/yellow]"
-                )
-                time.sleep(_PYPI_POLL_INTERVAL)
+        run_command(["uv", "sync"], cwd=repo_dir)
        console.print("[green]✓[/green] Workspace synced")

        # --- branch, commit, push, PR ---
@@ -1309,7 +1175,7 @@ def _release_enterprise(version: str, is_prerelease: bool, dry_run: bool) -> Non
        run_command(["git", "push", "-u", "origin", branch_name], cwd=repo_dir)
        console.print("[green]✓[/green] Branch pushed")

-        pr_url = run_command(
+        run_command(
            [
                "gh",
                "pr",
@@ -1326,7 +1192,6 @@ def _release_enterprise(version: str, is_prerelease: bool, dry_run: bool) -> Non
            cwd=repo_dir,
        )
        console.print("[green]✓[/green] Enterprise bump PR created")
-        console.print(f"[cyan]PR URL:[/cyan] {pr_url}")

        _poll_pr_until_merged(branch_name, "enterprise bump PR", repo=enterprise_repo)

@@ -1693,18 +1558,7 @@ def tag(dry_run: bool, no_edit: bool) -> None:
    is_flag=True,
    help="Skip the enterprise release phase",
 )
-@click.option(
-    "--skip-to-enterprise",
-    is_flag=True,
-    help="Skip phases 1 & 2, run only the enterprise release phase",
-)
-def release(
-    version: str,
-    dry_run: bool,
-    no_edit: bool,
-    skip_enterprise: bool,
-    skip_to_enterprise: bool,
-) -> None:
+def release(version: str, dry_run: bool, no_edit: bool, skip_enterprise: bool) -> None:
    """Full release: bump versions, tag, and publish a GitHub release.

    Combines bump and tag into a single workflow. Creates a version bump PR,
@@ -1717,19 +1571,11 @@ def release(
        dry_run: Show what would be done without making changes.
        no_edit: Skip editing release notes.
        skip_enterprise: Skip the enterprise release phase.
-        skip_to_enterprise: Skip phases 1 & 2, run only the enterprise release phase.
    """
    try:
        check_gh_installed()

-        if skip_enterprise and skip_to_enterprise:
-            console.print(
-                "[red]Error:[/red] Cannot use both --skip-enterprise "
-                "and --skip-to-enterprise"
-            )
-            sys.exit(1)
-
-        if not skip_enterprise or skip_to_enterprise:
+        if not skip_enterprise:
            missing: list[str] = []
            if not _ENTERPRISE_REPO:
                missing.append("ENTERPRISE_REPO")
@@ -1748,15 +1594,6 @@ def release(
        cwd = Path.cwd()
        lib_dir = cwd / "lib"

-        is_prerelease = _is_prerelease(version)
-
-        if skip_to_enterprise:
-            _release_enterprise(version, is_prerelease, dry_run)
-            console.print(
-                f"\n[green]✓[/green] Enterprise release [bold]{version}[/bold] complete!"
-            )
-            return
-
        if not dry_run:
            console.print("Checking git status...")
            check_git_clean()
@@ -1850,8 +1687,7 @@ def release(

        if not dry_run:
            _create_tag_and_release(tag_name, release_notes, is_prerelease)
-            _trigger_pypi_publish(tag_name, wait=True)
-            _update_deployment_test_repo(version, is_prerelease)
+            _trigger_pypi_publish(tag_name, wait=not skip_enterprise)

        if not skip_enterprise:
            _release_enterprise(version, is_prerelease, dry_run)