Removes CLAUDE_3_5_SONNET and CLAUDE_3_5_HAIKU from LlmModel enum, model
metadata, and cost configuration since they are deprecated
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Verify the models are gone from the llm blocks
Changes to providers blocks to store in db
### Changes 🏗️
- revet change
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] I have reverted the merge
## Summary
Fix critical UserBalance migration and spending issues affecting users
with credits from transaction history but no UserBalance records.
## Root Issues Fixed
### Issue 1: UserBalance Migration Complexity
- **Problem**: Complex data migration with timestamp logic issues and
potential race conditions
- **Solution**: Simplified to idempotent table creation only,
application handles auto-population
### Issue 2: Credit Spending Bug
- **Problem**: Users with $10.0 from transaction history couldn't spend
$0.16
- **Root Cause**: `_add_transaction` and `_enable_transaction` only
checked UserBalance table, returning 0 balance for users without records
- **Solution**: Enhanced both methods with transaction history fallback
logic
### Issue 3: Exception Handling Inconsistency
- **Problem**: Raw SQL unique violations raised different exception
types than Prisma ORM
- **Solution**: Convert raw SQL unique violations to
`UniqueViolationError` at source
## Changes Made
### Migration Cleanup
- **Idempotent operations**: Use `CREATE TABLE IF NOT EXISTS`, `CREATE
INDEX IF NOT EXISTS`
- **Inline foreign key**: Define constraint within `CREATE TABLE`
instead of separate `ALTER TABLE`
- **Removed data migration**: Application creates UserBalance records
on-demand
- **Safe to re-run**: No errors if table/index/constraint already exists
### Credit Logic Fixes
- **Enhanced `_add_transaction`**: Added transaction history fallback in
`user_balance_lock` CTE
- **Enhanced `_enable_transaction`**: Added same fallback logic for
payment fulfillment
- **Exception normalization**: Convert raw SQL unique violations to
`UniqueViolationError`
- **Simplified `onboarding_reward`**: Use standardized
`UniqueViolationError` catching
### SQL Fallback Pattern
```sql
COALESCE(
(SELECT balance FROM UserBalance WHERE userId = ? FOR UPDATE),
-- Fallback: compute from transaction history if UserBalance doesn't exist
(SELECT COALESCE(ct.runningBalance, 0)
FROM CreditTransaction ct
WHERE ct.userId = ? AND ct.isActive = true AND ct.runningBalance IS NOT NULL
ORDER BY ct.createdAt DESC LIMIT 1),
0
) as balance
```
## Impact
### Before
- ❌ Users with transaction history but no UserBalance couldn't spend
credits
- ❌ Migration had complex timestamp logic with potential bugs
- ❌ Raw SQL and Prisma exceptions handled differently
- ❌ Error: "Insufficient balance of $10.0, where this will cost $0.16"
### After
- ✅ Seamless spending for all users regardless of UserBalance record
existence
- ✅ Simple, idempotent migration that's safe to re-run
- ✅ Consistent exception handling across all credit operations
- ✅ Automatic UserBalance record creation during first transaction
- ✅ Backward compatible - existing users unaffected
## Business Value
- **Eliminates user frustration**: Users can spend their credits
immediately
- **Smooth migration path**: From old User.balance to new UserBalance
table
- **Better reliability**: Atomic operations with proper error handling
- **Maintainable code**: Consistent patterns across credit operations
## Test Plan
- [ ] Manual testing with users who have transaction history but no
UserBalance records
- [ ] Verify migration can be run multiple times safely
- [ ] Test spending credits works for all user scenarios
- [ ] Verify payment fulfillment (`_enable_transaction`) works correctly
- [ ] Add comprehensive test coverage for this scenario
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
## Problem
High QPS failures on `spend_credits` operations due to lock contention
from `pg_advisory_xact_lock` causing serialization and seconds of wait
time.
## Solution
Replace PostgreSQL advisory locks with atomic database operations using
CTEs (Common Table Expressions).
### Key Changes
- **Add persistent balance column** to User table for O(1) balance
lookups
- **Atomic CTE-based operations** for all credit transactions using
UPDATE...RETURNING pattern
- **Comprehensive concurrency tests** with 7 test scenarios including
stress testing
- **Remove all advisory lock usage** from the credit system
### Implementation Details
1. **Migration**: Adds balance column with backfill from transaction
history
2. **Atomic Operations**: All credit operations now use single atomic
CTEs that update balance and create transaction in one query
3. **Race Condition Prevention**: WHERE clauses in UPDATE statements
ensure balance never goes negative
4. **BetaUserCredit Compatibility**: Preserved monthly refill logic with
updated `_add_transaction` signature
### Performance Impact
- ✅ Eliminated lock contention bottlenecks
- ✅ O(1) balance lookups instead of O(n) transaction aggregation
- ✅ Atomic operations prevent race conditions without locks
- ✅ Supports high QPS without serialization delays
### Testing
- All existing tests pass
- New concurrency test suite (`credit_concurrency_test.py`) with:
- Concurrent spends from same user
- Insufficient balance handling
- Mixed operations (spends, top-ups, balance checks)
- Race condition prevention
- Integer overflow protection
- Stress testing with 100 concurrent operations
### Breaking Changes
None - all existing APIs maintain compatibility
🤖 Generated with [Claude Code](https://claude.ai/code)
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **New Features**
* Enhanced top‑up flows with top‑up types, clearer credit→dollar
formatting, and idempotent onboarding rewards.
* **Bug Fixes**
* Fixed race conditions for concurrent spends/top‑ups, added
integer‑overflow and underflow protection, stronger input validation,
and improved refund/dispute handling.
* **Refactor**
* Persisted per‑user balance with atomic updates for reliable balances;
admin history now prefetches balances.
* **Tests**
* Added extensive concurrency, refund, ceiling/underflow and migration
test suites.
* **Chores**
* Database migration to add persisted user balance; APIKey status
extended (SUSPENDED).
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Swifty <craigswift13@gmail.com>
Some agents aren't suitable for onboarding. This adds per-store agent
setting to allow them for onboarding. In case no agent is allowed
fallback to the former search.
### Changes 🏗️
- Add `useForOnboarding` to `StoreListing` model and `StoreAgent` view
(with migration)
- Remove filtering of agents with empty input schema or credentials
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Only allowed agents are displayed
- [x] Fallback to the old system in case there aren't enough allowed
agents
This PR fixes duplicate agent listings on the marketplace home page by
updating the StoreAgent view to return only the latest approved version
of each agent.
### Changes 🏗️
- Updated `StoreAgent` database view to filter for only the latest
approved version per listing
- Added CTE (Common Table Expression) `latest_versions` to efficiently
determine the maximum version for each store listing
- Modified the join logic to only include the latest version instead of
all approved versions
- Updated `versions` array field to contain only the single latest
version
**Technical details:**
- The view now uses a `latest_versions` CTE that groups by
`storeListingId` and finds `MAX(version)` for approved submissions
- Join condition ensures only the latest version is included:
`slv.version = lv.latest_version`
- This prevents duplicate entries for agents with multiple approved
versions
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Verified marketplace home page shows no duplicate agents
- [x] Confirmed only latest version is displayed for agents with
multiple approved versions
- [x] Checked that agent details page still functions correctly
- [x] Validated that run counts and ratings are still accurate
#### For configuration changes:
- [x] `.env.default` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)
### Changes 🏗️
- Rename wallet and update design
- Update tasks and add Hidden Tasks section
- Update onboarding backend code and related db migration
- Add progress bar for some tasks
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] All tasks can be finished
- [x] Finished tasks add correct amount of credits
---------
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: Nicholas Tindle <nicholas.tindle@agpt.co>
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
## Summary
Enhances database performance by improving indexes on `AgentGraph` and
`AgentGraphExecution` tables for better query efficiency.
### Changes 🏗️
- **Database Schema**: Updated Prisma schema to enhance database indexes
- Modified `AgentGraph` index from `[userId, isActive]` to `[userId,
isActive, id, version]` for better compound query performance
- Enhanced `AgentGraphExecution` index from `[userId]` to `[userId,
isDeleted, createdAt]` to support filtered queries with sorting
- **Migration**: Auto-generated Prisma migration to implement the index
changes
- Drops existing indexes: `AgentGraph_userId_isActive_idx` and
`AgentGraphExecution_userId_idx`
- Creates new compound indexes:
`AgentGraph_userId_isActive_id_version_idx` and
`AgentGraphExecution_userId_isDeleted_createdAt_idx`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Verified migration runs successfully
- [x] Confirmed database queries continue to work with new indexes
- [x] Tested that existing functionality remains unaffected
#### For configuration changes:
- [x] `.env.default` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-authored-by: Claude <noreply@anthropic.com>
<!-- Clearly explain the need for these changes: -->
This PR adds the ability for users to share their agent run results
publicly via shareable links. Users can generate a public link that
allows anyone to view the outputs of a specific agent execution without
requiring authentication. This feature enables users to share their
agent results with clients, colleagues, or the community.
https://github.com/user-attachments/assets/5508f430-07d0-4cd3-87bc-301b0b005cce
### Changes 🏗️
#### Backend Changes
- **Database Schema**: Added share tracking fields to
`AgentGraphExecution` model in Prisma schema:
- `isShared`: Boolean flag to track if execution is shared
- `shareToken`: Unique token for the share URL
- `sharedAt`: Timestamp when sharing was enabled
- **API Endpoints**: Added three new REST endpoints in
`/backend/backend/server/routers/v1.py`:
- `POST /graphs/{graph_id}/executions/{graph_exec_id}/share`: Enable
sharing for an execution
- `DELETE /graphs/{graph_id}/executions/{graph_exec_id}/share`: Disable
sharing
- `GET /share/{share_token}`: Retrieve shared execution data (public
endpoint)
- **Data Models**:
- Created `SharedExecutionResponse` model for public-safe execution data
- Added `ShareRequest` and `ShareResponse` Pydantic models for type-safe
API responses
- Updated `GraphExecutionMeta` to include share status fields
- **Security**:
- All share management endpoints verify user ownership before allowing
changes
- Public endpoint only exposes OUTPUT block data, no intermediate
execution details
- Share tokens are UUIDs for security
#### Frontend Changes
- **ShareButton Component**
(`/frontend/src/components/ShareButton.tsx`):
- Modal dialog for managing share settings
- Copy-to-clipboard functionality for share links
- Clear warnings about public accessibility
- Uses Orval-generated API hooks for enable/disable operations
- **Share Page**
(`/frontend/src/app/(no-navbar)/share/[token]/page.tsx`):
- Clean, navigation-free page for viewing shared executions
- Reuses existing `RunOutputs` component for consistent output rendering
- Proper error handling for invalid/disabled share links
- Loading states during data fetch
- **API Integration**:
- Fixed custom mutator to properly set Content-Type headers for POST
requests with empty bodies
- Generated TypeScript types via Orval for type-safe API calls
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Test plan: -->
- [x] Enable sharing for an agent execution and verify share link is
generated
- [x] Copy share link and verify it copies to clipboard
- [x] Open share link in incognito/private browser and verify outputs
are displayed
- [x] Disable sharing and verify share link returns 404
- [x] Try to enable/disable sharing for another user's execution (should
fail with 404)
- [x] Verify share page shows proper loading and error states
- [x] Test that only OUTPUT blocks are shown in shared view, no
intermediate data
=
## Summary
Added an optional "Instructions" field for agent submissions to help
users understand how to run agents and what to expect.
<img width="1000" alt="image"
src="https://github.com/user-attachments/assets/015c4f0b-4bdd-48df-af30-9e52ad283e8b"
/>
<img width="1000" alt="image"
src="https://github.com/user-attachments/assets/3242cee8-a4ad-4536-bc12-64b491a8ef68"
/>
<img width="1000" alt="image"
src="https://github.com/user-attachments/assets/a9b63e1c-94c0-41a4-a44f-b9f98e446793"
/>
### Changes Made
**Backend:**
- Added `instructions` field to `AgentGraph` and `StoreListingVersion`
database models
- Updated `StoreSubmission`, `LibraryAgent`, and related Pydantic models
- Modified store submission API routes to handle instructions parameter
- Updated all database functions to properly save/retrieve instructions
field
- Added graceful handling for cases where database doesn't yet have the
field
**Frontend:**
- Added instructions field to agent submission flow (PublishAgentModal)
- Positioned below "Recommended Schedule" section as specified
- Added instructions display in library/run flow (RunAgentModal)
- Positioned above credentials section with informative blue styling
- Added proper form validation with 2000 character limit
- Updated all TypeScript types and API client interfaces
### Key Features
- ✅ Optional field - fully backward compatible
- ✅ Proper positioning in both submission and run flows
- ✅ Character limit validation (2000 chars)
- ✅ User-friendly display with "How to use this agent" styling
- ✅ Only shows when instructions are provided
### Testing
- Verified Pydantic model validation works correctly
- Confirmed schema validation enforces character limits
- Tested graceful handling of missing database fields
- Code formatting and linting completed
## Test plan
- [ ] Test agent submission with instructions field
- [ ] Test agent submission without instructions (backward
compatibility)
- [ ] Verify instructions display correctly in run modal
- [ ] Test character limit validation
- [ ] Verify database migrations work properly
🤖 Generated with [Claude Code](https://claude.ai/code)
---------
Co-authored-by: Claude <noreply@anthropic.com>
- Resolves#10898
### Changes 🏗️
- Fix and re-create `refresh_store_materialized_views` DB function and
its pg_cron job
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Migration applies without issues (locally)
- [x] Refresh function can be run without issues (locally)
This is a non-critical improvement for bookkeeping purposes.
### Changes 🏗️
- Change `CreditTransaction` <- `User` relation to `ON DELETE NO ACTION`
so that `CreditTransactions` are not automatically deleted when we
delete a user's data.
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Migration applies without problems
Our API key generation, storage, and verification system has a couple of
issues that need to be ironed out before full-scale deployment.
### Changes 🏗️
- Move from unsalted SHA256 to salted Scrypt hashing for API keys
- Avoid false-negative API key validation due to prefix collision
- Refactor API key management code for clarity
- [refactor(backend): Clean up API key DB & API code
(#10797)](https://github.com/Significant-Gravitas/AutoGPT/pull/10797)
- Rename models and properties in `backend.data.api_key` for clarity
- Eliminate redundant/custom/boilerplate error handling/wrapping in API
key endpoint call stack
- Remove redundant/inaccurate `response_model` declarations from API key
endpoints
Dependencies for `autogpt_libs`:
- Add `cryptography` as a dependency
- Add `pyright` as a dev dependency
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- Performing these actions through the UI (still) works:
- [x] Creating an API key
- [x] Listing owned API keys
- [x] Deleting an owned API key
- [x] Newly created API key can be used in Swagger UI
- [x] Existing API key can be used in Swagger UI
- [x] Existing API key is re-encrypted with salt on use
## Summary
<img width="1000" alt="Screenshot 2025-09-02 at 9 46 49 PM"
src="https://github.com/user-attachments/assets/d78100c7-7974-4d37-a788-757764d8b6b7"
/>
<img width="1000" alt="Screenshot 2025-09-02 at 9 20 24 PM"
src="https://github.com/user-attachments/assets/cd092963-8e26-4198-b65a-4416b2307a50"
/>
<img width="1000" alt="Screenshot 2025-09-02 at 9 22 30 PM"
src="https://github.com/user-attachments/assets/e16b3bdb-c48c-4dec-9281-b2a35b3e21d0"
/>
<img width="1000" alt="Screenshot 2025-09-02 at 9 20 38 PM"
src="https://github.com/user-attachments/assets/11d74a39-f4b4-4fce-8d30-0e6a925f3a9b"
/>
• Added recommended schedule cron expression as an optional input
throughout the platform
• Implemented complete data flow from builder → store submission → agent
library → run page
• Fixed UI layout issues including button text overflow and ensured
proper component reusability
## Changes
### Backend
- Added `recommended_schedule_cron` field to `AgentGraph` schema and
database migration
- Updated API models (`LibraryAgent`, `MyAgent`,
`StoreSubmissionRequest`) to include the new field
- Enhanced store submission approval flow to persist recommended
schedule to database
### Frontend
- Added recommended schedule input to builder page (SaveControl
component) with overflow-safe styling
- Updated store submission modal (PublishAgentModal) with schedule
configuration
- Enhanced agent run page with schedule tip display and pre-filled
schedule dialog
- Refactored `CronSchedulerDialog` with discriminated union types for
better reusability
- Fixed layout issues including button text truncation and popover width
constraints
- Implemented robust cron expression parsing with 100% reversibility
between UI and cron format
🤖 Generated with [Claude Code](https://claude.ai/code)
---------
Co-authored-by: Claude <noreply@anthropic.com>
## Summary
Implement comprehensive sub-agent approval flow following the business
requirements from the flow diagram.
<img width="1956" height="1448" alt="image"
src="https://github.com/user-attachments/assets/8de35e5b-9d3e-4dc2-bff0-47b49dbebc83"
/>
### Key Features
- ✅ **Auto-approve sub-agents** when main agent is approved
- ✅ **Handle all scenarios**: new listings, existing versions, missing
versions
- ✅ **Transaction safety** with atomic operations via database
transactions
- ✅ **Parallel processing** using asyncio.gather for performance
optimization
- ✅ **Hidden from store** with isAvailable=false for all sub-agents
### Implementation Details
- **Replaced** `_get_missing_sub_store_listing` with comprehensive
`_handle_sub_agent_approvals`
- **Added** `_approve_sub_agent` function with early returns for clean,
readable code flow
- **Used** `transaction()` context manager to ensure data consistency
across operations
- **Process sub-agents in parallel** while maintaining transaction
integrity
### Business Logic Flow
1. **Check if sub-agent is already listed** in store
2. **If not listed**: create new store listing with `isAvailable=false`
3. **If listed but not approved**: approve the correct version
4. **If correct version not listed**: create store listing version and
approve it
5. **If already approved**: no action needed (early return)
All sub-agents remain **hidden from public store** while being
internally approved for system use.
## Files Changed
- `backend/server/v2/store/db.py` - Core implementation of sub-agent
approval logic
## Test Plan
- [ ] Verify main agent approval triggers sub-agent approvals
- [ ] Test all sub-agent scenarios: new, existing unapproved, existing
approved
- [ ] Confirm sub-agents remain hidden (`isAvailable=false`)
- [ ] Validate transaction rollback on failures
- [ ] Check parallel processing works correctly
🤖 Generated with [Claude Code](https://claude.ai/code)
- Resolves [OPEN-2549: Make "Run again" work with credentials in
`AgentRunDetailsView`](https://linear.app/autogpt/issue/OPEN-2549/make-run-again-work-with-credentials-in-agentrundetailsview)
- Resolves#10237
### Changes 🏗️
- feat(frontend/library): Make "Run Again" button work for runs with
credentials
- feat(backend/executor): Store passed-in credentials on
`GraphExecution`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- Go to `/library/agents/[id]` for an agent with credentials inputs
- Run the agent manually
- [x] -> runs successfully
- [x] -> "Run again" shows among the action buttons on the newly created
run
- Click "Run again"
- [x] -> runs successfully
### Changes 🏗️
This PR implements email notifications for agent creators when their
agent submissions are approved or rejected by an admin in the
marketplace.
Specifically, the changes include:
- Added `AGENT_APPROVED` and `AGENT_REJECTED` notification types to
`schema.prisma`.
- Created `AgentApprovalData` and `AgentRejectionData` Pydantic models
for notification data.
- Configured the notification system to use immediate queues and new
Jinja2 templates for these types.
- Designed two new email templates: `agent_approved.html.jinja2` and
`agent_rejected.html.jinja2`, with dynamic content for agent details,
reviewer feedback, and relevant action links.
- Modified the `review_store_submission` function to:
- Include `User` and `Reviewer` data in the database query.
- Construct and queue the appropriate email notification based on the
approval/rejection status.
- Ensure email sending failures do not block the agent review process.
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Approve an agent via the admin dashboard.
- [x] Verify the agent creator receives an "Agent Approved" email with
correct details and a link to the store.
- [x] Reject an agent via the admin dashboard (providing a reason).
- [x] Verify the agent creator receives an "Agent Rejected" email with
correct details, the rejection reason, and a link to resubmit.
- [x] Verify that if email sending fails (e.g., misconfigured SMTP), the
agent approval/rejection process still completes successfully without
error.
<img width="664" height="975" alt="image"
src="https://github.com/user-attachments/assets/d397f2dc-56eb-45ab-877e-b17f1fc234d1"
/>
<img width="664" height="975" alt="image"
src="https://github.com/user-attachments/assets/25597752-f68c-46fe-8888-6c32f5dada01"
/>
---
Linear Issue: [SECRT-1168](https://linear.app/autogpt/issue/SECRT-1168)
<a
href="https://cursor.com/background-agent?bcId=bc-7394906c-0341-4bd0-8842-6d9d6f83c56c">
<picture>
<source media="(prefers-color-scheme: dark)"
srcset="https://cursor.com/open-in-cursor-dark.svg">
<source media="(prefers-color-scheme: light)"
srcset="https://cursor.com/open-in-cursor-light.svg">
<img alt="Open in Cursor" src="https://cursor.com/open-in-cursor.svg">
</picture>
</a>
<a
href="https://cursor.com/agents?id=bc-7394906c-0341-4bd0-8842-6d9d6f83c56c">
<picture>
<source media="(prefers-color-scheme: dark)"
srcset="https://cursor.com/open-in-web-dark.svg">
<source media="(prefers-color-scheme: light)"
srcset="https://cursor.com/open-in-web-light.svg">
<img alt="Open in Web" src="https://cursor.com/open-in-web.svg">
</picture>
</a>
---------
Co-authored-by: Cursor Agent <cursoragent@cursor.com>
- resolves -
https://github.com/Significant-Gravitas/AutoGPT/issues/10511
In this PR, I’ve added backend endpoints and a frontend UI for edit
functionality on the Agent Dashboard. Now, users can update their store
submission, if status is `PENDING` or `APPROVED`, but not for `REJECTED`
and `DRAFT`. When users make changes to a pending status submission, the
changes are made to the same version. However, when users make changes
to an approved status submission, a new store listing version is
created.
Backend works something like this:
<img width="866" height="832" alt="Screenshot 2025-08-15 at 9 39 02 AM"
src="https://github.com/user-attachments/assets/209c60ac-8350-43c1-ba4c-7378d95ecba7"
/>
### Changes
- I’ve updated the `StoreSubmission` view to include `video_url` and
`categories`.
- I’ve added a new frontend UI for editing submissions.
- I’ve created an endpoint for editing submissions.
- I’ve added more end-to-end tests to ensure the edit submission
functionality works as expected.
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] I have checked manually, everything is working perfectly.
- [x] All e2e tests are also passing.
---------
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
Co-authored-by: neo <neo.dowithless@gmail.com>
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
Co-authored-by: Swifty <craigswift13@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Ubbe <hi@ubbe.dev>
Co-authored-by: Lluis Agusti <hi@llu.lu>
### Changes 🏗️
This PR optimizes database performance by adding missing foreign key
indexes, removing unused/redundant indexes, cleaning up all legacy
untracked indexes, and adding performance indexes for materialized views
to achieve 100% optimized database indexing.
**Foreign Key Indexes Added:**
- `AgentGraph`: `[forkedFromId, forkedFromVersion]` - For fork
relationship queries
- `AgentGraphExecution`: `[agentPresetId]` - For preset-based execution
filtering
- `AgentNodeExecution`: `[agentNodeId]` - For node execution lookups
- `AgentNodeExecutionInputOutput`: `[agentPresetId]` - For preset
input/output queries
- `AgentPreset`: `[agentGraphId, agentGraphVersion]` & `[webhookId]` -
For graph and webhook lookups
- `LibraryAgent`: `[agentGraphId, agentGraphVersion]` & `[creatorId]` -
For agent and creator queries
- `StoreListing`: `[agentGraphId, agentGraphVersion]` - For marketplace
agent lookups
- `StoreListingReview`: `[reviewByUserId]` - For user review queries
**Unused/Redundant Indexes Removed:**
- `User.email` - Unused index identified by linter
- `AnalyticsMetrics.userId` - Unused index causing write overhead
- `AnalyticsDetails.type` - Redundant (covered by composite `[userId,
type]`)
- `APIKey.key`, `APIKey.status` - Unused indexes
- Named index `"analyticsDetails"` - Converted to standard composite
index
**All Legacy Untracked Indexes Removed:**
- `idx_store_listing_version_status` - Redundant with Prisma composite
index
- `idx_slv_agent` - Redundant with Prisma-managed `[agentGraphId,
agentGraphVersion]`
- `idx_store_listing_version_approved_listing` - Redundant with unique
constraint
- `StoreListing_agentId_owningUserId_idx` - Legacy index superseded by
current strategy
- `StoreListing_isDeleted_isApproved_idx` - Replaced by optimized
composite index
- `StoreListing_isDeleted_idx` - Redundant with composite index
- `StoreListingVersion_agentId_agentVersion_isDeleted_idx` - Legacy
index replaced
- `idx_store_listing_approved` - Redundant with existing `[owningUserId,
slug]` unique constraint and `[isDeleted, hasApprovedVersion]` index
- `idx_slv_categories_gin` - Specialized array search index removed (can
be re-added if category filtering is implemented)
- `idx_profile_user` - Duplicate of Prisma-managed `Profile_userId_idx`
**Materialized View Performance Indexes Added:**
- `idx_mv_review_stats_rating` on `mv_review_stats(avg_rating DESC)` -
Optimizes sorting agents by rating
- `idx_mv_review_stats_count` on `mv_review_stats(review_count DESC)` -
Optimizes sorting agents by review count
**Result: 100% Optimized Database Indexing**
- All database indexes are now defined and managed through Prisma schema
- No more untracked indexes requiring manual SQL maintenance
- Added performance indexes for materialized views used by marketplace
views
- Improved query performance for agent sorting and filtering
- Enhanced maintainability and consistency across environments
**Schema Comments Updated:**
- Removed all references to dropped untracked indexes
- Simplified documentation to reflect Prisma-only approach for regular
tables
- Added comprehensive documentation for materialized view indexes and
their purposes
- Maintained documentation for materialized view refresh strategy
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Schema changes compile successfully with Prisma
- [x] Migration adds required FK indexes and materialized view
performance indexes
- [x] Migration drops all legacy indexes and redundant untracked indexes
- [x] All pre-commit hooks pass (linting, formatting, type checking)
- [x] No breaking changes to existing foreign key relationships
- [x] Verified existing Prisma indexes cover all query patterns
- [x] Schema comments comprehensively document all indexing strategy
- [x] Materialized view performance indexes optimize marketplace sorting
🤖 Generated with [Claude Code](https://claude.ai/code)
---------
Co-authored-by: Swifty <craigswift13@gmail.com>
Co-authored-by: Claude <noreply@anthropic.com>
This PR adds a database index to improve query performance based on
Supabase query performance insights and index recommendations. These
indexes target frequently queried columns and relationships to reduce
query execution time.
### Changes 🏗️
- Added index on `AgentNodeExecutionInputOutput.agentPresetId`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Verified schema changes are valid Prisma syntax
- [x] Confirmed indexes target frequently queried columns based on
Supabase recommendations
- [x] Ensured no duplicate indexes are created
#### For configuration changes:
- [x] `.env.example` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)
### Summary
Performance optimization for the platform's store and creator
functionality by adding targeted database indexes and implementing
materialized views to reduce query execution time.
### Changes 🏗️
**Database Performance Optimizations:**
- Added strategic database indexes for `StoreListing`,
`StoreListingVersion`, `StoreListingReview`, `AgentGraphExecution`, and
`Profile` tables
- Implemented materialized views (`mv_agent_run_counts`,
`mv_review_stats`) to cache expensive aggregation queries
- Optimized `StoreAgent` and `Creator` views to use materialized views
and improved query patterns
- Added automated refresh function with 15-minute scheduling for
materialized views (when pg_cron extension is available)
**Key Performance Improvements:**
- Filtered indexes on approved store listings to speed up marketplace
queries
- GIN index on categories for faster category-based searches
- Composite indexes for common query patterns (e.g., listing + version
lookups)
- Pre-computed agent run counts and review statistics to eliminate
expensive aggregations
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Verified migration runs successfully without errors
- [x] Confirmed materialized views are created and populated correctly
- [x] Tested StoreAgent and Creator view queries return expected results
- [x] Validated automatic refresh function works properly
- [x] Confirmed rollback migration successfully removes all changes
#### For configuration changes:
- [x] `.env.example` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)
**Note:** No configuration changes were required as this is purely a
database schema optimization.
This PR introduces key-value storage blocks.
### Changes 🏗️
- **Database Schema**: Add AgentNodeExecutionKeyValueData table with
composite primary key (userId, key)
- **Persistence Blocks**: Create PersistInformationBlock and
RetrieveInformationBlock in persistence.py
- **Scope-based Storage**: Support for within_agent (per agent) vs
across_agents (global user) persistence
- **Key Structure**: Use formal # delimiter for storage keys:
`agent#{graph_id}#{key}` and `global#{key}`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Run all 244 block tests - all passing ✅
- [x] Test PersistInformationBlock with mock data storage
- [x] Test RetrieveInformationBlock with mock data retrieval
- [x] Verify scope-based key generation (within_agent vs across_agents)
- [x] Verify database function integration through all manager classes
- [x] Run lint and type checking - all passing ✅
- [x] Verify database migration is included and valid
#### For configuration changes:
- [x] `.env.example` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)
Note: This change adds database schema and new blocks but doesn't
require environment or docker-compose changes as it uses existing
database infrastructure.
---------
Co-authored-by: Claude <noreply@anthropic.com>
This pull request adds support for setting up (webhook-)triggered agents
in the Library. It contains changes throughout the entire stack to make
everything work in the various phases of a triggered agent's lifecycle:
setup, execution, updates, deletion.
Setting up agents with webhook triggers was previously only possible in
the Builder, limiting their use to the agent's creator only. To make it
work in the Library, this change uses the previously introduced
`AgentPreset` to store information on, instead of on the graph's nodes
to which only a graph's creator has access.
- Initial ticket: #10111
- Builds on #9786


### Changes 🏗️
Frontend:
- Amend the Library's `AgentRunDraftView` to handle creating and editing
Presets
- Add `hideIfSingleCredentialAvailable` parameter to `CredentialsInput`
- Add multi-select support to `TypeBasedInput`
- Add Presets section to `AgentRunsSelectorList`
- Amend `AgentRunSummaryCard` for use for Presets
- Add `AgentStatusChip` to display general agent status (for now: Active
/ Inactive / Error)
- Add Preset loading logic and create/update/delete handlers logic to
`AgentRunsPage`
- Rename `IconClose` to `IconCross`
API:
- Add `LibraryAgent` properties `has_external_trigger`,
`trigger_setup_info`, `credentials_input_schema`
- Add `POST /library/agents/{library_agent_id}/setup_trigger` endpoint
- Remove redundant parameters from `POST
/library/presets/{preset_id}/execute` endpoint
Backend:
- Add `POST /library/agents/{library_agent_id}/setup_trigger` endpoint
- Extract non-node-related logic from `on_node_activate` into
`setup_webhook_for_block`
- Add webhook-related logic to `update_preset` and `delete_preset`
endpoints
- Amend webhook infrastructure to work with AgentPresets
- Add preset trigger support to webhook ingress endpoint
- Amend executor stack to work with passed-in node input
(`nodes_input_masks`, generalized from `node_credentials_input_map`)
- Amend graph validation to work with passed-in node input
- Add `AgentPreset`->`IntegrationWebhook` relation
- Add `WebhookWithRelations` model
- Change behavior of `BaseWebhooksManager.get_manual_webhook(..)` to
avoid unnecessary changes of the webhook URL: ignore `events` to find
matching webhook, and update `events` if necessary.
- Fix & improve `AgentPreset` API, models, and DB logic
- Add `isDeleted` filter to get/list queries
- Add `user_id` attribute to `LibraryAgentPreset` model
- Add separate `credentials` property to `LibraryAgentPreset` model
- Fix `library_db.update_preset(..)` replacement of existing
`InputPresets`
- Make `library_db.update_preset(..)` more usage-friendly with separate
parameters for updateable properties
- Add `user_id` checks to various DB functions
- Fix error handling in various endpoints
- Fix cache race condition on `load_webhook_managers()`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- Test existing functionality
- [x] Auto-setup and -teardown of webhooks on save in the builder still
works
- [x] Running an agent normally from the Library still works
- Test new functionality
- [x] Setting up a trigger in the Library
- [x] Updating a trigger in the Library
- [x] Disabling and re-enabling a trigger in the Library
- [x] Deleting a trigger in the Library
- [x] Triggers set up in the Library result in a new run when the
webhook receives a payload
Main issues:
* `AIStructuredResponseGeneratorBlock` is not able to produce a list of
objects.
* `SmartDecisionBlock` is not able to call tools with some optional
inputs.
### Changes 🏗️
* Allow persisting `null` / `None` value as execution output.
* Provide `multiple_tool_calls` option for `SmartDecisionBlock`.
* Provide `list_result` option for `AIStructuredResponseGeneratorBlock`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Run `SmartDecisionBlock` & `AIStructuredResponseGeneratorBlock`
### Changes 🏗️
This PR adds `Run 10 agents` step to wallet tasks that can be done by
running any agents 10 times either from Library or Builder (onboarding
agent run also counts).
- Merge `Finish onboarding` and `See results` steps into one in the
wallet
- User is redirected directly to onboarding agent runs in Library after
congrats screen
- Add `RUN_AGENTS` step and `agentRuns` integer to schema and related
migration
- Running agent from Library and Builder increments `agentRuns`
- Open NPS survey popup when 10 agents are run
- Fix resuming onboarding on login when unfinished
- Remove no longer needed `get-results.mp4` tutorial video
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Onboarding can be completed and proper reward is awarded
- [x] `Run 10 agents` can be completed and reward is awarded
- [x] When unning different agents and the same agent
- [x] Running from library and builder counts
- [x] Onboarding is resumed to last finished step on login
# Query Optimization for AgentNodeExecution Tables
## Overview
This PR describes the database index optimizations applied to improve
the performance of slow queries in the AutoGPT platform backend.
## Problem Analysis
The following queries were identified as consuming significant database
resources:
### 1. Complex Filtering Query (19.3% of total time)
```sql
SELECT ... FROM "AgentNodeExecution"
WHERE "agentNodeId" = $1
AND "agentGraphExecutionId" = $2
AND "executionStatus" = $3
AND "id" NOT IN (
SELECT "referencedByInputExecId"
FROM "AgentNodeExecutionInputOutput"
WHERE "name" = $4 AND "referencedByInputExecId" IS NOT NULL
)
ORDER BY "addedTime" ASC
```
### 2. Multi-table JOIN Query (8.9% of total time)
```sql
SELECT ... FROM "AgentNodeExecution"
LEFT JOIN "AgentNode" ON ...
LEFT JOIN "AgentBlock" ON ...
WHERE "AgentBlock"."id" IN (...)
AND "executionStatus" != $11
AND "agentGraphExecutionId" IN (...)
ORDER BY "queuedTime" DESC, "addedTime" DESC
```
### 3. Bulk Graph Execution Queries (multiple variations, ~10% combined)
Multiple queries filtering by `agentGraphExecutionId` with various
ordering requirements.
## Optimization Strategy
### 1. Composite Indexes for AgentNodeExecution
Set the following composite indexes to the `AgentNodeExecution` model:
```prisma
@@index([agentGraphExecutionId, agentNodeId, executionStatus])
@@index([addedTime, queuedTime])
```
#### Benefits:
- **Index 1**: Covers the exact WHERE clause of the complex filtering
query, allowing index-only scans
- **Index 2**: Optimizes queries filtering by graph execution and status
- **Index 3**: Supports efficient sorting when filtering by graph
execution
- **Index 4**: Optimizes ORDER BY operations on time fields
### 2. Composite Index for AgentNodeExecutionInputOutput
Added the following composite index:
```prisma
// Input and Output pin names are unique for each AgentNodeExecution.
@@unique([referencedByInputExecId, referencedByOutputExecId, name])
@@index([referencedByOutputExecId])
// Composite index for `upsert_execution_input`.
@@index([name, time])
```
#### Benefits:
- Dramatically improves the NOT IN subquery performance in Query 1
- Allows the database to use an index scan instead of a full table scan
- Reduces the subquery execution time from O(n) to O(log n)
## Expected Performance Improvements
1. **Query 1 (19.3% of total time)**:
- Expected improvement: 80-90% reduction in execution time
- The composite index on `[agentNodeId, agentGraphExecutionId,
executionStatus]` will allow index-only scans
- The subquery will benefit from the new index on
`AgentNodeExecutionInputOutput`
2. **Query 2 (8.9% of total time)**:
- Expected improvement: 50-70% reduction in execution time
- The `[agentGraphExecutionId, executionStatus]` index will reduce the
initial filtering cost
3. **Bulk Queries (10% combined)**:
- Expected improvement: 60-80% reduction in execution time
- Composite indexes including time fields will optimize sorting
operations
## Migration Considerations
1. **Index Creation Time**: Creating these indexes on existing large
tables may take time
2. **Storage Impact**: Each index requires additional storage space
3. **Write Performance**: Slight decrease in INSERT/UPDATE performance
due to index maintenance
## Additional Optimizations
### NotificationEvent Table Index
Added index for notification batch queries:
```prisma
@@index([userNotificationBatchId])
```
This optimizes the query:
```sql
SELECT ... FROM "NotificationEvent"
WHERE "userNotificationBatchId" IN (...)
```
#### Benefits:
- Eliminates full table scans when filtering by batch ID
- Improves query performance from O(n) to O(log n)
- Particularly beneficial for users with many notification events
## Future Optimizations
Consider these additional optimizations if needed:
1. Partitioning `AgentNodeExecution` table by `createdAt` or
`agentGraphExecutionId`
2. Implementing materialized views for frequently accessed aggregate
data
3. Adding covering indexes for specific query patterns
4. Implementing query result caching at the application level
---------
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
- Follow-up fix for #9862
### Changes 🏗️
- Rename the stored `data` input field to `inputs` on all Agent Executor
nodes in the DB
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Dry-run the query in Supabase to verify that the data operation
works
- [x] CI
Introduce a late execution check scheduled job. The late threshold
duration is configurable.
This initial version only reports the error to Sentry.
### Changes 🏗️
* Added late execution check scheduled job
* Move the registration weekly notification processing job out of API
call and calling it directly from the scheduler service.
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Manual firing of scheduled job through an exposed API
This PR introduces copying agents feature in the Library. Users can copy
and download their library agents but they can edit only the ones they
own (included copied ones).
### Changes 🏗️
- DB migration: add relation in `AgentGraph`: `forked_from_id` and
`forked_from_version`
- Add `fork_graph` function that makes a hardcopy of agent graph and its
nodes (all with new ids)
- Add `fork_library_agent` that copies library agent and its graph for a
user
- Add endpoint `/library/agents/{libraryAgentId}/fork`
- Add UI to `library/agents/[id]/page.tsx`: `Edit a copy` button with
dialog confirmation
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Agent can be copied, edited and runs
Array fields in `schema.prisma` are non-nullable, but generated
migrations don’t add `NOT NULL` constraints. This causes existing rows
to get `NULL` values when new array columns are added, breaking schema
expectations and leading to bugs.
### Changes 🏗️
- Backfill all `NULL` rows on non-nullable array columns to empty arrays
- Set `NOT NULL` constraint on all array columns
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Existing `NULL` rows are properly backfilled
- [x] Existing arrays are not set to default empty arrays
- [x] Affected columns became non-nullable in the db
### Changes 🏗️
- Update onboarding to give user rewards for completing steps
- Remove `canvas-confetti` lib and add `party-js` instead; the former
didn't allow to play confetti from a component
- Add onboarding videos in `frontend/public/onboarding/`
- Remove Balance (`CreditsCard.tsx`) and add openable `Wallet.tsx` (and
accompanying `WalletTaskGroup.tsx`) instead that displays grouped
onboarding tasks with descriptions and short instructional videos
- Further relevant updates to `useOnboarding`, `types.ts`
- Implement onboarding rewards
- Add `onboarding_reward` function in `credit.py` that is used to reward
user for finished onboarding tasks safely - transaction key is
deterministic, so the same user won't be rewarded twice for the same
step.
- Add `reward_user` in `onboarding.py`
- Update `UserOnboarding` model and add a migration
<img width="464" alt="Screenshot 2025-04-05 at 6 06 29 PM"
src="https://github.com/user-attachments/assets/fca8d09e-0139-466b-b679-d24117ad01f0"
/>
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Onboarding works
- [x] Tasks can be completed
- [x] Rewards are added correctly for all completed tasks
Distilled from #9541 to reduce the scope of that PR.
- Part of #9307
- ❗ Blocks #9786
- ❗ Blocks #9541
### Changes 🏗️
- Fix `LibraryAgent` schema (for #9786)
- Fix relationships between `LibraryAgent`, `AgentGraph`, and
`AgentPreset`
- Impose uniqueness constraint on `LibraryAgent`
- Rename things that are called `agent` that actually refer to a
`graph`/`agentGraph`
- Fix singular/plural forms in DB schema
- Simplify reference names of closely related objects (e.g.
`AgentGraph.AgentGraphExecutions` -> `AgentGraph.Executions`)
- Eliminate use of `# type: ignore` in DB statements
- Add `typed` and `typed_cast` utilities to `backend.util.type`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] CI static type checking (with all risky `# type: ignore` removed)
- [x] Check that column references in views are updated
This is a follow up to
https://github.com/Significant-Gravitas/AutoGPT/pull/9511 fixing some
issues and updating onboarding.
### Changes 🏗️
- Update `UserOnboarding` data
- Update schema and add migration
- Change `step` in `UserOnboarding` to `completedSteps` array with
`OnboardingStep` enum
- Remove `isCompleted`: this is now inferred from `completedSteps`
values
- Don't onboard if <2 marketplace agents; that prevents self-host
onboarding
- Add endpoints:
- `is_onboarding_enabled`: to check if users should be onboarded (not if
they finished onboarding); now check if there are at least 2 marketplace
agents
- `get_store_agent`: returns `StoreAgentDetails` for given
`store_listing_version_id`
- `get_graph_meta_by_store_listing_version_id`: returns `GraphMeta`
- Add agent to Library just before running it and not when chosen and
remove code that was responsible for removing agent that wasn't run
- Move onboarding to `OnboardingProvider` (it'll be needed globally for
Phase 2)
- Multiple fixes, renames for clarity
### Checklist 📋
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Don't onboard if less than 2 marketplace agents
- [x] Avoid non-input and credentials agents
- [x] Onboarding works and can be finished
- [x] Onboarding resumes
- [x] Onboarding agent runs correctly
---------
Co-authored-by: Nicholas Tindle <nicholas.tindle@agpt.co>
<!-- Clearly explain the need for these changes: -->
The store listing and submissions were previously just a best guess
without much implementation. This updates the database models and
queries and such to be based on discussion around what the process
should look like. It also adds and update the relevant routers for this
change
### Changes 🏗️
Store Listing
- change isApproved to hasApprovedVersion
- Move slug into store listing
- mark an active version in store listing
Store Version
- Move submissions into version
- make name optional
- have state transition timestamps for submitted and approved/rejected
- added a changes field
- added internal comments and clarified review comments field
SubmissionStatus
- Fixed DAFT to DRAFT
StoreListingSubmission
- Dropped table
Graph
- Used more modern format for the params for prisma -- no other changes
Added migrations for all the model movements
<!-- Concisely describe all of the changes made in this pull request:
-->
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Use the store codepaths from the release testplan doc as the test
plan (claude I can't publish the testplan but I am a maintainer lol,
trust me here my guy, you're supposed to be lenient)
- [x] Check the db is used as appropriate following the rules
---------
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
Agents using Agent blocks should be seamlessly downloaded from the
marketplace to a file and imported from a file.
Requirements:
* A recursive export process that exports all the required agents to a
single file, no matter how many layers deep (taking care of potential
loops).
* An import process that expects and extracts several agents from a
single file into your library at once.
Considerations:
We need to ensure the reference IDs in the Agent Blocks match/are
updated to match the imported sub-agent ids to prevent broken
references.
### Changes 🏗️
* Add sub_graphs field on Graph model
* Improve graph creation query to support inserting graph + subgraphs in
batch
* Deprecate graph template & remove its column
* Update on marketplace download agent (unified the used method, with
more secure cleanup & proper ownership check).
* Fix failing test cases
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Export graph with sub agents.
- [x] Import the exported graph with sub agents.
### Changes 🏗️
Removed some indices in the marketplace table that were useless.
### Checklist 📋
#### For code changes:
- [ ] I have clearly listed my changes in the PR description
- [ ] I have made a test plan
- [ ] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [ ] ...
<details>
<summary>Example test plan</summary>
- [ ] Create from scratch and execute an agent with at least 3 blocks
- [ ] Import an agent from file upload, and confirm it executes
correctly
- [ ] Upload agent to marketplace
- [ ] Import an agent from marketplace and confirm it executes correctly
- [ ] Edit an agent from monitor, and confirm it executes correctly
</details>
#### For configuration changes:
- [ ] `.env.example` is updated or already compatible with my changes
- [ ] `docker-compose.yml` is updated or already compatible with my
changes
- [ ] I have included a list of my configuration changes in the PR
description (under **Changes**)
<details>
<summary>Examples of configuration changes</summary>
- Changing ports
- Adding new services that need to communicate with each other
- Secrets or environment variable changes
- New or infrastructure changes such as databases
</details>
This PR adds backend to make Onboarding UI added in
https://github.com/Significant-Gravitas/AutoGPT/pull/9485 functional and
adds missing confetti screen at the end of Onboarding.
*Make sure to have at least any 2 agents in store when testing locally.*
Otherwise the onboarding will finish without showing agents.
Visit `/onboarding/reset` to reset onboarding state, otherwise it'll
always redirect to `/library` once finished.
### Changes 🏗️
- Onboarding opens automatically on sign up and login (if unfinished)
for all users
- Update db schema to add `UserOnboarding` and add migration
- Add GET and PATCH `/onboarding` endpoints and logic to retrieve and
update data Onboarding for a user
- Update `POST /library/agents` endpoint
(`addMarketplaceAgentToLibrary`), so it includes input and output nodes;
these are needed to know input schema for the Onboarding
- Use new endpoints during onboarding to fetch and update data
- Use agents from the marketplace and their input schema for the
onboarding
- Add algorithm to choose store agents based on user answers and related
endpoint `GET /onboarding/agents`
- Redirect outside onboarding if finished and resume on proper page
- Add `canvas-confetti` and `@types/canvas-confetti` frontend packages
- Add and show congrats confetti screen when user runs and agent and
before opening library
- Minor design updates and onboarding fixes
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [x] Redirect to `/onboarding/*` on sign up and sign in (if onboarding
unfinished)
- [x] Onboarding works and can be finished
- [x] Agent runs on finish
- [x] Onboarding state is saved and logging out or refreshing page
restores correct state (user choices)
- [x] When onboarding finished, trying to go into `/onboarding`
redirects to `/library`
---------
Co-authored-by: Nicholas Tindle <nicholas.tindle@agpt.co>
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
- Resolves#9542
### Changes 🏗️
- feat(platform): Add "Delete run" button on `/library/agents/[id]` w/
confirm dialog
- Add `AgentGraphExecution.isDeleted` column for soft delete
- Add `DELETE /api/executions/{graph_exec_id}` endpoint
- feat(frontend): Add "Stop run" button on `/library/agents/[id]`
Technical improvements:
- refactor(frontend): Generalize `AgentDeleteConfirmDialog` ->
`DeleteConfirmDialog`
- refactor(frontend): Brand `GraphExecution.execution_id` and
`Schedule.id` to prevent mixing
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- Click "Delete run" under "Run actions" in the right sidebar
- [x] -> Confirmation dialog should show
- Click "Delete"
- [x] -> run should disappear from list
- [x] -> view should switch to "Draft new run" view
- [x] -> refresh page -> run should not be in list
- Click "Delete" in the menu on a run in the list
- [x] -> Confirmation dialog should show
- Click "Delete"
- [x] -> run should disappear from list
- [x] -> refresh page -> run should not be in list
---------
Co-authored-by: Krzysztof Czerwinski <34861343+kcze@users.noreply.github.com>
<!-- Clearly explain the need for these changes: -->
If we bounce too many emails from Postmark, they will be really upset
with us, which is not so good. We need a way to react when we bounce
emails, so we set it up so they notify us via webhooks.
We also need to build authentication into those webhooks to prevent
random people from sending us fake webhooks.
All this together means we need a new route for the inbound webhook.
To do this, we need a way to track if the email address is valid. So,
after chatting with @itsababseh, we are adding a validated email field
that defaults to `True` because all the users are already validated in
prod. In dev, we may suffer.
### Changes 🏗️
<!-- Concisely describe all of the changes made in this pull request:
-->
- Adds special API Key auth handler to the libs so that we can easily
test stuff on the /docs endpoint and re-use it if needed
- Adds New Secret for this API key from postmark
- Adds a validatedEmail boolean to the`User` table
- Adds a postmark endpoint to the routers list for handling the inbound
webhook from Postmark
- "Handle" all the various things this endpoint could send us (most of
them we do nothing about)
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Sign up with john@example.com email (the one postmark uses in
webhooks)
- [x] Set email validation to true
- [x] Send the bounce webhook notice
- [x] Check it gets set to false
#### For configuration changes:
- [x] `.env.example` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)