* Create onboarding pages
* add the users/onboarding route
* make the onboarding not available in oss
* Front end for onboarding form for cloud users
* WIP: Save current progress on first-timers onboarding feature
* Put back the cloud.ts file like before
* Add the onboading form when cloud users connect for the first time
* Add check to show onboarding only for first time users on cloud
* Add submit_onboarding_data route in the backend
* Remove useless cookie code
* Remove useless function
* Remove the unused onMount import
* Add SQLx query cache for first_time_user field
* Allow dead_code for OnboardingData in OSS version
* Point to the latest ee hash
* Add maxlength on use_case text input
* Collect from the frontend only inputted data from the users - touche_point and use_case
* write latest ee ref
* Remove checkFirstTimeSetup() call if cloud instance
* Remove silent error
* Remove magical number from onboarding screen navigation
* remove unused databse field for login query
* Add first_time_user check in loadUser()
* Add input for the Other answer
* Update ee hash
* Remove autofocus
* Improve the submit onboarding data function checks
* Fix feature flags
* Add latest ee hash
* Update to latest hash
* Update to last ee hash
* nits
* simplify feature flag logic
* nit
* Update ee-repo-ref.txt
* nits
* update ref
---------
Co-authored-by: wendrul <dethomassin.etienne@gmail.com>
Co-authored-by: Diego Imbert <70353967+diegoimbert@users.noreply.github.com>
Co-authored-by: HugoCasa <hugo@casademont.ch>
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
Co-authored-by: Ruben Fiszel <ruben@windmill.dev>
This commit adds support for setting custom HTTP headers for all AI API requests
via the AI_HTTP_HEADERS environment variable.
Usage:
AI_HTTP_HEADERS="customheader1: hello, customheader2: world"
The environment variable accepts a comma-separated list of header:value pairs.
These headers will be applied to all AI requests made through both the worker
(AI agent jobs) and the API (AI proxy requests).
Changes:
- backend/windmill-worker/src/ai_executor.rs: Parse and apply custom headers
- backend/windmill-api/src/ai.rs: Parse and apply custom headers
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* fix: also auto add/del igroup members to workspaces where configured
* Update SQLx metadata
* feature flags
---------
Co-authored-by: windmill-internal-app[bot] <windmill-internal-app[bot]@users.noreply.github.com>
* draft mcp client
* testing
* fix
* cleaning
* mcp resource in inputtransforms
* cleaning
* big cleaning
* cleaning
* no arc
* add utils file
* refactor tools
* add mcp actions
* draft frontend
* send arguments from backend
* better frontend
* cleaning
* use token for auth
* add logo
* rm
* fix
* fix
* chore: refactor mcp for ai agents (#6829)
* Add Tool enum for AIAgent with backward compatibility
- Created Tool enum that can be either Windmill (FlowModule) or Mcp (resource reference)
- Created McpToolRef struct to hold MCP resource path
- Implemented custom Deserialize for Tool with backward compatibility:
- New format: {type: 'windmill'|'mcp', ...}
- Old format: FlowModule objects (automatically wrapped in Tool::Windmill)
- Updated AIAgent to use Vec<Tool> instead of Vec<FlowModule>
- Updated FlowValue::traverse_leafs to handle Tool enum
- Backward compatible: old flows with Vec<FlowModule> will deserialize correctly
* Refactor AI executor to process Tool enum instead of extracting MCP from input_transforms
- Separate Windmill tools and MCP resource paths from tools list
- Process Windmill FlowModules into Tool definitions
- Load MCP tools from resource paths in Tool::Mcp variants
- Remove old logic that extracted mcp_resources from input_transforms
- Import FlowModule, remove unused InputTransform
- Fix type issues: use .as_str() for path and handle Option<bool> properly
* handle in args
* mcp as flowmodule
* frontend
* config for mcp
* simplify logic
* fix ai executor logic
* cleaning
* clean frontend
* fix
* better resource picker
* fix and styling
* add endpoint to fetch tools
* apply tool filtering
* fix name validation
* better ui
* use cache
* fix
* fix merge
* refactor: Separate MCP tools from FlowModule in AIAgent
- Add new AgentTool, ToolValue, and McpToolValue types
- Update AIAgent to use Vec<AgentTool> instead of Vec<FlowModule>
- Implement From traits for clean conversion between AgentTool and FlowModule
- Add backward compatibility via custom deserializer for AgentTool
- Simplify resolve_module logic by reusing existing resolve_modules function
- Update traverse_leafs to handle AgentTool structure
This refactoring separates MCP tools from FlowModule tools, making the
type system clearer and eliminating the need to treat MCP servers as
a special case of FlowModule.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* refactor: Update ai_executor and worker_lockfiles for AgentTool
- Update ai_executor.rs to handle new AgentTool structure
- Separate MCP tools from FlowModule tools using ToolValue enum
- Convert AgentTool to FlowModule for backward compatibility
- Add imports for AgentTool and ToolValue types
- Update worker_lockfiles.rs for lazy loading optimization
- Convert AgentTool <-> FlowModule in insert_flow_modules
- Preserve lazy loading for FlowModule tools via modules_node
- Keep MCP tools inline (lightweight, no need for lazy loading)
- Maintain backward compatibility with existing flows
This enables the lazy loading optimization for FlowModule tools while
keeping MCP tools inline, balancing performance and simplicity.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* cleaning
* adapt frontend
* cleaning
* cleaning
* type fix
* cleaning
* fix back comp
* move mcp button position
* nit
* cleaning
* fix nested removal
* cleaning
* opti
* fix chat markdown display
* fix chat messages layout
* fix back comp frontend
* fix deserializer
* nit
* simpler serializer
* use if else
---------
Co-authored-by: Claude <noreply@anthropic.com>
