* fix: redact GitHub App tokens and Slack OAuth secret for non-admins
`GET /workspaces/get_settings` returned the full `git_app_installations`
JSONB to any workspace member. That column caches the GitHub App JWT and
installation token used by git-sync; the installation token is refreshed
on every git-sync action and valid for ~55 minutes, so the value sitting
in the DB is essentially always live. Null it out for non-admins,
matching the existing `slack_oauth_client_secret` redaction.
The tarball export's v2 settings format (added in #8935) included
`slack_oauth_client_secret` with no admin gating, regressing the same
redaction. Mirror the admin check there.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* refactor: split get_settings into admin-only + public endpoint
Adds `WorkspacePublicSettings` and `GET /workspaces/get_public_settings`,
which returns only fields safe for any workspace member to read
(workspace_id, slack/teams team identity, mute_critical_alerts, deploy_ui,
large_file_storage, datatable). `get_settings` is now admin-only via
`require_admin`.
Migrates frontend callers: every caller that read non-sensitive fields
(deploy_ui on trigger pages, mute_critical_alerts on the root layout, slack
team identity for handler pickers, etc.) now uses `getPublicSettings`. The
admin-managed settings UI, git-sync admin context, operator settings,
checkout polling, and full settings page stay on `getSettings`.
This replaces the field-level redactions added in the previous commit:
the type system itself defines the public surface, so adding a sensitive
column to `workspace_settings` no longer defaults to leaking — it stays
out of `WorkspacePublicSettings` unless explicitly added.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* worker: support AIAgent tools in AI executor
* worker: complete nested AIAgent tool execution path
* worker: inline AIAgent tool schema usage
* fix agent action
* frontend: add AI Agent as tool type in flow builder
Add the ability to insert a nested AI Agent as a tool within another
AI Agent step. Includes type definitions, factory function, graph icon,
insert/event wiring, and a dedicated editor component.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: remove AiAgentToolEditor, reuse FlowModuleComponent for AI agent tools
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: populate all input transforms for nested AI agent tools
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: avoid missing v2_job_status error for nested AI agent tools
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* sqlx
* nit
* refactor: cleanup nested AI agent tool implementation
- Add max nesting depth guard (5) on parent chain traversal
- Reject 3+ level nesting explicitly with clear error message
- Remove unnecessary flow_step_id tuple scaffolding in tool dispatch
- Consolidate get_value() calls using borrow in first match
- Replace unsafe `as unknown as FlowModule` casts with agentToolToFlowModule()
- Simplify toolKind ternary chain with .includes() lookup
- Fix leftover over-indentation from tuple removal
- Remove duplicate doc comment on is_completed_input_transform
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: pass flow_step_id and flow_job_id overrides to run_agent for nested AI agents
For nested AI agent tools, job.flow_step_id is None and job.parent_job
points to the parent agent instead of the flow. This caused memory
read/write and flow context resolution to silently fail.
handle_ai_agent_job already computes the correct flow_step_id (via
runnable_path fallback) and flow_job_id (via parent chain traversal).
This change threads those values through run_agent and
ToolExecutionContext so all downstream consumers use the correct IDs.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* cleaning
* cleaning
* move const
* fix
* refactor: replace defaultToAi boolean with allowedAiTransforms whitelist
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* refactor: propagate root_job at push time, remove flow_job_id_override
Instead of threading flow_job_id_override through run_agent and
get_flow_context, propagate root_job and flow_innermost_root_job
when pushing tool jobs so nested AI agents can find the flow
job naturally via the existing job fields.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor: simplify nested AI agent parent chain walk-up
Replace the generic depth-limited loop with a single-level check since
only flow → agent → nested agent tool is supported. Remove
MAX_AGENT_NESTING_DEPTH constant and flatten the module lookup.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: reject 3+ level nested AI agent tools before job creation
Check at the parent agent level whether a nested AIAgent tool contains
AIAgent sub-tools. If so, return a fatal error immediately, preventing
the sub-job from being created and avoiding retry loops.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix: resolve deadlock in nested AI agent tool execution
Replace channel forwarding with inline DB writes for tool job
completions. Nested agents used bounded(1) channels where a sub-tool's
forwarded result would fill the parent channel, leaving no room for the
agent's own completion — causing a deadlock. Writing directly via
add_completed_job/add_completed_job_error bypasses the channel entirely.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* add in frontend
* draft openai handling
* upload to s3
* simpler output
* return s3 directly if any
* low quality
* implement for gemini
* handle imagen model
* handle image input
* cleaning
* remove base64 from output
* cleaning
* fix timeout
* handle openrouter
* remove log
* allow image input when creating image
* cleaning
* increase stack size
* inline everything
* revert stack size
* refactor: move AI executor types to separate module
- Created ai module structure with types.rs
- Moved all type definitions from ai_executor.rs to ai/types.rs
- No functional changes, just code organization
* refactor: add QueryBuilder trait and provider detection utilities
- Created QueryBuilder trait for abstracting provider-specific logic
- Added helper functions for provider detection (is_anthropic_provider)
- Implemented placeholder QueryBuilder for all providers
- Updated OpenAIRequest to use slices instead of Vec references
- All providers now have QueryBuilder implementations (using default for now)
* feat: implement OpenAI query builder with image support foundation
- Created proper OpenAI query builder implementation
- Added image_handler module for S3 upload/download utilities
- Separated text and image request building logic
- Added prepare_messages_for_api to handle S3Object conversion
- Foundation laid for supporting tools with image output
* refactor(ai): complete AI executor refactoring with query builder pattern
- Created modular structure under ai/ module
- Moved all types to ai/types.rs
- Created QueryBuilder trait for provider abstraction
- Implemented OpenAI query builder with image+tools support
- Added unified agent runner supporting both text and image outputs with tools
- Refactored run_agent to delegate to new unified implementation
- Added image handler utilities for S3 operations
- Improved code organization and maintainability
* cleaning
* feat(ai): implement remaining provider query builders
- Added Anthropic query builder with proper message conversion
- Added Google AI query builder with Gemini API support
- Added OpenRouter query builder delegating to OpenAI for compatibility
- Added missing Anthropic and Gemini types to types.rs
- Fixed type references and compilation errors
- All providers now support the unified query builder interface
* fixes
* fixes
* mime type + cleaning
* image to images
* handle mutlitple images
* fix
* remove agent_runner file
* clean query builder logic
* cleaning
* cleaning
* hide structured_output based on output type
* fix
* user images and not nested
* better descriptions