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These changes were part of #12206, but here they are separately for easier review. This is all primarily to make the v2 API (#11678) work possible/easier. ### Changes 🏗️ - Fix relations between `Profile`, `StoreListing`, and `AgentGraph` - Redefine `StoreSubmission` view with more efficient joins (100x speed-up on dev DB) and more consistent field names - Clean up query functions in `store/db.py` - Clean up models in `store/model.py` - Add missing fields to `StoreAgent` and `StoreSubmission` views - Rename ambiguous `agent_id` -> `graph_id` - Clean up API route definitions & docs in `store/routes.py` - Make routes more consistent - Avoid collision edge-case between `/agents/{username}/{agent_name}` and `/agents/{store_listing_version_id}/*` - Replace all usages of legacy `BackendAPI` for store endpoints with generated client - Remove scope requirements on public store endpoints in v1 external API ### 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] Test all Marketplace views (including admin views) - [x] Download an agent from the marketplace - [x] Submit an agent to the Marketplace - [x] Approve/reject Marketplace submission
90 lines
3.2 KiB
Markdown
90 lines
3.2 KiB
Markdown
# System Store Operations
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<!-- MANUAL: file_description -->
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Blocks for browsing and retrieving agent details from the AutoGPT store.
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<!-- END MANUAL -->
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## Get Store Agent Details
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### What it is
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Get detailed information about an agent from the store
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### How it works
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<!-- MANUAL: how_it_works -->
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This block retrieves detailed metadata about a specific agent from the AutoGPT store using the creator's username and agent slug. It returns the agent's name, description, categories, run count, and average rating.
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The store_listing_version_id can be used with other blocks to add the agent to your library or execute it.
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<!-- END MANUAL -->
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### Inputs
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| Input | Description | Type | Required |
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|-------|-------------|------|----------|
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| creator | The username of the agent creator | str | Yes |
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| slug | The name of the agent | str | Yes |
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### Outputs
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| Output | Description | Type |
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|--------|-------------|------|
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| error | Error message if the operation failed | str |
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| found | Whether the agent was found in the store | bool |
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| store_listing_version_id | The store listing version ID | str |
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| agent_name | Name of the agent | str |
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| description | Description of the agent | str |
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| creator | Creator of the agent | str |
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| categories | Categories the agent belongs to | List[str] |
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| runs | Number of times the agent has been run | int |
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| rating | Average rating of the agent | float |
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### Possible use case
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<!-- MANUAL: use_case -->
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**Agent Discovery**: Fetch details about a specific agent before adding it to your library.
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**Agent Validation**: Check an agent's ratings and run count to assess quality and popularity.
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**Dynamic Agent Selection**: Get agent metadata to decide which version or variant to use.
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<!-- END MANUAL -->
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---
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## Search Store Agents
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### What it is
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Search for agents in the store
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### How it works
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<!-- MANUAL: how_it_works -->
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This block searches the AutoGPT agent store using a query string. Filter results by category and sort by rating, runs, name, or recency (`updated_at`). Limit controls the maximum number of results returned.
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Results include basic agent information and are output both as a list and individually for workflow iteration.
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<!-- END MANUAL -->
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### Inputs
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| Input | Description | Type | Required |
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|-------|-------------|------|----------|
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| query | Search query to find agents | str | No |
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| category | Filter by category | str | No |
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| sort_by | How to sort the results | "rating" \| "runs" \| "name" \| "updated_at" | No |
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| limit | Maximum number of results to return | int | No |
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### Outputs
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| Output | Description | Type |
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|--------|-------------|------|
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| error | Error message if the operation failed | str |
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| agents | List of agents matching the search criteria | List[StoreAgent] |
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| agent | Basic information of the agent | StoreAgent |
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| total_count | Total number of agents found | int |
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### Possible use case
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<!-- MANUAL: use_case -->
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**Agent Recommendation**: Search for agents that match user needs and recommend the best options.
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**Marketplace Browse**: Allow users to explore available agents by category or keyword.
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**Agent Orchestration**: Find and compose multiple specialized agents for complex workflows.
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<!-- END MANUAL -->
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---
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