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@YashG-28 YashG-28 commented Nov 13, 2025

Summary by CodeRabbit

  • New Features

    • Added Docker Compose configuration for local development with integrated backend, frontend, PostgreSQL, Redis, and admin tools
    • Introduced multi-stage Docker builds with optimized layer caching
    • Added development hot-reload support for backend and frontend services
  • Documentation

    • Added comprehensive guides for development setup, Docker deployment, Helm configuration, and CI/CD pipelines
    • Updated project documentation with rebranding to Autonomize AI Studio
  • Infrastructure

    • Migrated CI/CD pipelines to Azure DevOps with templated backend and frontend build workflows
    • Added centralized pipeline variables configuration
  • Chores

    • Updated environment configuration and project licensing

jagveer-autonomize and others added 30 commits October 14, 2025 21:30
- Change VALUES_FILE paths from charts/genesis-platform/ to genesis-umbrella/
- Update yq commands to target genesis-studio instead of ai-studio
- Remove VALUES_FILE_STANDALONE variable (no longer needed)
- Align with new umbrella chart architecture
…paths

Update Azure pipeline paths for new platform charts structure
update prompts to address detailed faq questions
Fixed circular dependency in Alembic env.py that was preventing
SQLModel from properly registering table metadata during startup.

Changes:
- Changed import from langflow.services.database.service to sqlmodel
- Added explicit models import to ensure metadata population
- Resolves 'could not assemble primary key columns' error

The issue occurred because importing SQLModel from the database service
triggered service initialization before all models were loaded into
SQLModel.metadata, causing table creation to fail.

Fixes backend pod startup failures in Kubernetes deployment.
…-dependency

fix: resolve SQLModel ApiKey table creation circular import issue
…nd filtering

- Implement backend API endpoints for agent marketplace
- Create frontend components for marketplace UI including cards and filters
- Add search, sorting and pagination functionality
- Update constants and routes to support new feature
feat(agent-marketplace): add agent marketplace feature with listing a…
- Add useCaseIds to TemplateContentProps for filtering templates by use case
- Modify template filtering logic to handle use case IDs
- Remove max-width constraints from AgentMarketplacePage and AgentBuilderPage
- Update text and placeholder in AgentBuilderPage
feat(templates): add use case filtering and UI adjustments
This commit resolves the critical SQLModel ApiKey table creation error that prevented backend pods from starting in Kubernetes environments while working fine locally.

- **Problem**: `Annotated[UUID, BeforeValidator(...)]` (UUIDstr) not recognized as valid primary key by SQLModel/SQLAlchemy in Docker environment
- **Solution**: Changed all primary key fields from UUIDstr to plain UUID type in:
  - `src/backend/base/langflow/services/database/models/api_key/model.py`
  - `src/backend/base/langflow/services/database/models/user/model.py`
  - `src/backend/base/langflow/services/database/models/file/model.py`

- **Updated Dockerfile**: Use Python 3.13 with deadsnakes PPA to match working local environment
- **Fixed Dependencies**: Pinned SQLAlchemy==2.0.43, Pydantic==2.10.6, upgraded LiteLLM>=1.61.15
- **Resolved Package Conflicts**: Fixed yanked transformers package to version 4.57.1

- **Removed publishedagent module completely**:
  - Deleted API endpoints: `src/backend/base/langflow/api/v1/published_agent.py`
  - Deleted database models: `src/backend/base/langflow/services/database/models/published_agent/`
  - Deleted Alembic migration: `src/backend/base/langflow/alembic/versions/321864d65639_add_published_agent_table.py`
  - Updated imports and router registrations
  - Cleaned up pyproject.toml dependencies

- **Environment Difference**: Local Python 3.13.5 + SQLAlchemy 2.0.43 vs Docker Python 3.12.3 + SQLAlchemy 2.0.44
- **Type Recognition**: UUIDstr type with BeforeValidator not recognized as valid primary key in Docker environment
- **Database Creation**: "could not assemble any primary key columns" error during table creation

- ✅ Successfully tested in local Docker environment with external PostgreSQL
- ✅ Validated in minikube with clean database startup
- ✅ Confirmed alembic migrations work without permission issues
- ✅ Verified all publishedagent references removed

- Simplified type system reduces validation overhead
- Cleaner codebase with unnecessary module removed
- Faster startup without publishedagent table creation

This fix ensures consistent behavior across local and containerized environments while maintaining data integrity and type safety.
…d-cleanup

Fix SQLModel primary key detection and remove publishedagent module
- Implement agent marketplace detail page with tabs for flow visualization and YAML spec
- Add dynamic breadcrumb navigation that responds to route changes
- Enhance marketplace cards with click-to-detail functionality and YAML conversion
- Adjust breadcrumb styling and page layout spacing
- Update azure pipelines to target .ai-studio.backend.image.tag instead of .genesis-studio.backend.image.tag
- Resolves duplicate tag confusion in values-dev.yaml
- Ensures CI/CD updates correct tag location for deployments
Fix CI/CD pipeline to target correct image tag location
…results

Add predefined static agents list to supplement API results, ensuring no duplicates by name. Also make static agent cards non-interactive to prevent navigation.
feat(agent-marketplace): add static agents list and combine with API …
fix(login): uncomment keycloak redirect logic
The submit button is temporarily disabled while we address an underlying issue with prompt validation
sourabhEx2 and others added 27 commits November 4, 2025 17:33
* minor changes in the published flow

* minor changes

* updated the market place to show the tags title
added chunks metadata in ocr component and modified qdrant db to filt…
* Fix migration chain: correct parent reference for flow_icon migration

- Change down_revision from missing '20251027120000' to '5b431a7ef7c1'
- Fixes broken migration chain causing deployment failures
- Now properly follows: 99999999999 → 5b431a7ef7c1 → 20251027130000

* Fix: Update repository references from platform-charts to ai-studio-charts

Updated Azure DevOps pipeline configurations to use the new repository name
after the repository was renamed from autonomize-ai/platform-charts to
autonomize-ai/ai-studio-charts.

Changes:
- Updated repository names in backend-cicd.yaml and frontend-cicd.yaml
- Updated repository aliases from platform-charts to ai-studio-charts
- Updated checkout references in release-template.yml
- Updated variable names and paths in common.yml
- Updated comments for consistency
* reverted bff changes done for mcp server

* updated basic templates

* updated starter project helper
* agent versioning implemented

* agent version added

* agent version bug fixes

* date field changed to utc

* bug fixes

* bug fixes

* title name issue fixes

* app logo fixes

---------

Co-authored-by: Rishi <[email protected]>
* added filter persist

* live icon change
* updated playground

* added default env

* added language model
* added google api support

* added minor changes
…ization (#143)

add session storage persistence for marketplace detail tabs
hide flow name in header when viewing flow visualization tab
simplify marketplace flow name label

Co-authored-by: joexavier1997 <[email protected]>
* validation added

* feat(spec_flow_builder): add config and provides validators with tests

- Implement ConfigValidator to validate component config keys and types against catalog templates
- Add ProvidesConnectionValidator to validate 'provides' connections in YAML specs
- Extend ComponentResolver with get_cached_components method
- Enhance ComponentSchemaInspector with additional cache and connection validation logic
- Add comprehensive unit tests for both validators

* test(config_validator): update test cases with code value for resolver

Add explicit code values in test cases to help the resolver map class names correctly. Include additional known keys to avoid validation flags.

* node and config implemented

* edge fixes

* toolset issue fixes

* changes added for config

* config fixes

---------

Co-authored-by: Rishi <[email protected]>
Co-authored-by: joexavier1997 <[email protected]>
* validation added

* feat(spec_flow_builder): add config and provides validators with tests

- Implement ConfigValidator to validate component config keys and types against catalog templates
- Add ProvidesConnectionValidator to validate 'provides' connections in YAML specs
- Extend ComponentResolver with get_cached_components method
- Enhance ComponentSchemaInspector with additional cache and connection validation logic
- Add comprehensive unit tests for both validators

* test(config_validator): update test cases with code value for resolver

Add explicit code values in test cases to help the resolver map class names correctly. Include additional known keys to avoid validation flags.

* node and config implemented

* edge fixes

* toolset issue fixes

* changes added for config

* config fixes

* flow to yaml conversion

* flow to yaml conversion

* yaml type fixes

* config issue fixes

* yaml generation and flow generation fixes

---------

Co-authored-by: Rishi <[email protected]>
Co-authored-by: joexavier1997 <[email protected]>
* fix filter tool mode

* docker file updated to use tar
@YashG-28 YashG-28 closed this Nov 13, 2025
@github-actions github-actions bot added the community Pull Request from an external contributor label Nov 13, 2025
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Walkthrough

This pull request performs a comprehensive infrastructure and documentation overhaul, introducing Azure DevOps CI/CD pipelines (backend/frontend build and release templates), Docker multi-stage build configurations, a complete rebranding from Langflow to Autonomize AI Studio, extensive removal of GitHub Actions workflows, and new development documentation while updating environment configurations and licensing.

Changes

Cohort / File(s) Summary
Azure DevOps Pipeline Configuration
.azure-pipelines/backend-cicd.yaml, .azure-pipelines/frontend-cicd.yaml
New dual CI/CD pipeline definitions for backend and frontend with global variables (versioning, ACR, runtime versions), GitHub repository resources, branch/path triggers, and multi-stage workflows (Build and UpdatePlatformCharts stages)
Azure DevOps Pipeline Templates
.azure-pipelines/templates/backend-build-template.yml, .azure-pipelines/templates/frontend-build-template.yml, .azure-pipelines/templates/release-template.yml
New reusable job templates for building Docker images (with conditional build args), pushing to registry (conditional on build reason), and updating platform chart image tags via yq and Git
Azure DevOps Variables
.azure-pipelines/variables/common.yml
New centralized variable store defining container registry, build configuration, runtime versions (Node, Python, UV), Helm configuration, test and security scanning settings, and namespace deployments
Docker Configuration
docker/backend/Dockerfile, docker/frontend/Dockerfile, docker-compose.yml, docker-compose.dev.yml, docker/nginx.conf
Multi-stage Docker builds for backend (Python with venv optimization) and frontend (Node.js with nginx), docker-compose files with services (backend, frontend, database, cache), health checks, volumes, networking, and nginx configuration
Docker Build Unstable Flags
docker/build_and_push.Dockerfile, docker/build_and_push_base.Dockerfile, docker/build_and_push_ep.Dockerfile, docker/build_and_push_with_extras.Dockerfile
Added RUSTFLAGS environment variable enabling reqwest unstable features for apify-client v2.0.0 compatibility
GitHub Actions Workflow Removals
.github/workflows/ci.yml, .github/workflows/release.yml, .github/workflows/codeflash.yml, .github/workflows/codeql.yml, .github/workflows/conventional-labels.yml, .github/workflows/create-release.yml, .github/workflows/cross-platform-test.yml, .github/workflows/deploy-docs-draft.yml, .github/workflows/deploy_gh-pages.yml, .github/workflows/docker-build.yml, .github/workflows/docker_test.yml, .github/workflows/docs-update-openapi.yml, .github/workflows/docs_test.yml, .github/workflows/fetch_docs_notion.yml, .github/workflows/integration_tests.yml, .github/workflows/jest_test.yml, .github/workflows/js_autofix.yml, .github/workflows/lint-js.yml, .github/workflows/lint-py.yml, .github/workflows/nightly_build.yml, .github/workflows/py_autofix.yml, .github/workflows/python_test.yml, .github/workflows/release_nightly.yml, .github/workflows/smoke-tests.yml, .github/workflows/store_pytest_durations.yml, .github/workflows/style-check-py.yml, .github/workflows/template-tests.yml, .github/workflows/typescript_test.yml
Entire removal of existing GitHub Actions CI/CD workflows, including test pipelines, linting, Docker builds, releases, documentation deployment, and cross-platform testing
GitHub Configuration Removals
.github/ISSUE_TEMPLATE/bug-report.yaml, .github/ISSUE_TEMPLATE/feature-request.yaml, .github/ISSUE_TEMPLATE/work-in-progress.yaml, .github/actions/install-playwright/action.yml, .github/changes-filter.yaml, .github/dependabot.yml, .github/release.yml, .github/semantic.yml, .github/workflows/add-labels.yml, .github/workflows/auto-update.yml
Removal of issue templates, GitHub Actions, workflow configurations, and automation tools
Cursor Rules Documentation Removals
.cursor/rules/backend_development.mdc, .cursor/rules/components/basic_component.mdc, .cursor/rules/docs_development.mdc, .cursor/rules/frontend_development.mdc, .cursor/rules/icons.mdc, .cursor/rules/testing.mdc
Entire deletion of cursor/AI development guideline documents covering backend, frontend, component creation, testing, and icon patterns
Cursor and Settings Updates
.cursor/settings.json, .gitignore
Removed biome configuration path setting; added AI assistant working files (backup_claude.md, member_servers.json, CLAUDE.md, etc.) to ignore list
Environment and Configuration
.env.example, config/secret_key, Makefile
Replaced MCP composer flag with new naming (LANGFLOW_MCP_COMPOSER_ENABLED), added LANGFLOW_API_URL variable, added secret-key file, and added setup_database target with database initialization dependency in init target
Project Branding and Documentation
README.md, LICENSE, docs/sidebars.js
Complete rebranding from Langflow to Autonomize AI Studio with updated branding, URLs, features, and deployment approach; added proprietary components notice and third-party attribution; updated sidebar desktop link
New Development Documentation
docs/AZURE_DEVOPS.md, docs/DEVELOPMENT.md, docs/DOCKER.md, docs/HELM.md, docs/PIPELINES.md, UNIVERSAL_AGENT_SPECIFICATION_GUIDE.md
New comprehensive guides for Azure DevOps structure, development workflows, Docker setup, Helm deployment, pipeline architecture, and universal agent specification format
Documentation Integration Updates
docs/docs/Get-Started/get-started-installation.mdx, docs/docs/Integrations/Cleanlab/eval_and_remediate_cleanlab.json, docs/docs/Integrations/Notion/Conversational_Notion_Agent.json, docs/docs/Integrations/Notion/Meeting_Notes_Agent.json
Updated Langflow Desktop links and OpenAI model defaults (gpt-4o → gpt-4.1) in integration examples
GitHub Actions Documentation
.github/workflows/cross-platform-test.md
Removed cross-platform test documentation file
Output Configuration
output.yaml
Added new YAML component configuration with agent/llm definitions and metadata

Sequence Diagram(s)

sequenceDiagram
    participant PR as Pull Request
    participant Pipeline as Backend/Frontend Pipeline
    participant BuildTpl as Build Template
    participant Registry as Container Registry
    participant ReleaseTpl as Release Template
    participant Charts as Platform Charts Repo
    participant ArgoCD as ArgoCD

    PR->>Pipeline: Trigger on main/develop/feature branch
    Pipeline->>BuildTpl: Execute with build parameters
    BuildTpl->>BuildTpl: Checkout code with submodules
    BuildTpl->>BuildTpl: Docker build with tags
    BuildTpl->>Registry: Push image (Manual/CI triggers)
    Pipeline->>ReleaseTpl: Stage: UpdatePlatformCharts
    ReleaseTpl->>ReleaseTpl: Checkout ai-studio-charts repo
    ReleaseTpl->>ReleaseTpl: Determine environment (dev/prod)
    ReleaseTpl->>ReleaseTpl: Update image tag via yq
    ReleaseTpl->>Charts: Commit and push to main
    Charts->>ArgoCD: Trigger deployment
    ArgoCD->>ArgoCD: Auto-deploy via GitOps
Loading
sequenceDiagram
    participant User as Developer
    participant DockerCompose as docker-compose
    participant Backend as Backend Service
    participant Frontend as Frontend Service
    participant Database as PostgreSQL
    participant Redis as Redis Cache

    User->>DockerCompose: docker-compose up (dev)
    DockerCompose->>Backend: Start with hot-reload
    DockerCompose->>Frontend: Start dev server (port 3000/3001 HMR)
    DockerCompose->>Database: Initialize PostgreSQL
    DockerCompose->>Redis: Start cache
    Backend->>Database: Connect and initialize
    Frontend->>Backend: API requests
    Backend->>Redis: Cache operations
    Backend-->>Frontend: Response
    Frontend-->>User: Display in browser
Loading

Estimated code review effort

🎯 5 (Critical) | ⏱️ ~120+ minutes

Special attention areas:

  • Azure DevOps pipeline templates and interdependencies: Review the three templates (backend-build, frontend-build, release) for correct parameter passing, conditional logic, and integration with platform charts repository
  • Docker multi-stage builds: Verify security (non-root users, permissions), venv optimization approach in backend, nginx configuration, and environment variable handling
  • Complete GitHub Actions removal implications: Assess impact of deleting all CI workflows—ensure no critical automation is lost and Azure DevOps pipelines provide equivalent coverage (testing, linting, security scanning)
  • Branding consistency: Check all rebranding changes from Langflow to Autonomize AI Studio across documentation, configuration, and links for completeness and correctness
  • Environment configuration changes: Validate .env.example MCP composer flag rename, new API URL variable, and their integration with deployment pipelines
  • Docker Compose setup: Review service definitions, networking, volume mounts, health checks, and development vs. production configurations for correctness
  • Dockerfile permission handling and build optimizations: Verify venv tarball approach, non-root user setup, proper ownership, and build argument handling

Possibly related PRs

Suggested labels

infrastructure, ci-cd, documentation, docker, azure-devops, breaking-change

Suggested reviewers

  • lucaseduoli
  • erichare
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  • output.yaml (1 hunks)

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