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replicate-automation

Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.

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onfire7777/universal-ai-skills-library
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اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
replicate-automation
description
Automate Replicate AI model operations -- run predictions, upload files, inspect model schemas, list versions, and manage prediction history via the Composio MCP integration.
requires
{"mcp":["rube"]}
# Replicate Automation Automate your Replicate AI model workflows -- run predictions on any public model (image generation, LLMs, audio, video), upload input files, inspect model schemas and documentation, list model versions, and track prediction history. **Toolkit docs:** [composio.dev/toolkits/replicate](https://composio.dev/toolkits/replicate) --- ## Setup 1. Add the Composio MCP server to your client: `https://rube.app/mcp` 2. Connect your Replicate account when prompted (API token authentication) 3. Start using the workflows below --- ## Core Workflows ### 1. Get Model Details and Schema Use `REPLICATE_MODELS_GET` to inspect a model's input/output schema before running predictions. ``` Tool: REPLICATE_MODELS_GET Inputs: - model_owner: string (required) -- e.g., "meta", "black-forest-labs", "stability-ai" - model_name: string (required) -- e.g., "meta-llama-3-8b-instruct", "flux-1.1-pro" ``` **Important:** Each model has unique input keys and types. Always check the `openapi_schema` from this response before constructing prediction inputs. ### 2. Run a Prediction Use `REPLICATE_MODELS_PREDICTIONS_CREATE` to run inference on any model with optional synchronous waiting and webhooks. ``` Tool: REPLICATE_MODELS_PREDICTIONS_CREATE Inputs: - model_owner: string (required) -- e.g., "meta", "black-forest-labs" - model_name: string (required) -- e.g., "flux-1.1-pro", "sdxl" - input: object (required) -- model-specific inputs, e.g., { "prompt": "A sunset over mountains" } - wait_for: integer (1-60 seconds, optional) -- synchronous wait for completion - cancel_after: string (optional) -- max execution time, e.g., "300s", "5m" - webhook: string (optional) -- HTTPS URL for async completion notifications - webhook_events_filter: array (optional) -- ["start", "output", "logs", "completed"] ``` **Sync vs Async:** Use `wait_for` (1-60s) for fast models. For long-running jobs, omit it and use webhooks or poll via `REPLICATE_PREDICTIONS_LIST`. ### 3. Upload Files for Model Input Use `REPLICATE_CREATE_FILE` to upload images, documents, or other binary inputs that models need. ``` Tool: REPLICATE_CREATE_FILE Inputs: - content: string (required) -- base64-encoded file content - filename: string (required) -- e.g., "input.png", "audio.wav" (max 255 bytes UTF-8) - content_type: string (default "application/octet-stream") -- MIME type - metadata: object (optional) -- custom JSON metadata ``` ### 4. Read Model Documentation Use `REPLICATE_MODELS_README_GET` to access a model's README in Markdown format for detailed usage instructions. ``` Tool: REPLICATE_MODELS_README_GET Inputs: - model_owner: string (required) - model_name: string (required) ``` ### 5. List Model Versions Use `REPLICATE_MODELS_VERSIONS_LIST` to see all available versions of a model, sorted newest first. ``` Tool: REPLICATE_MODELS_VERSIONS_LIST Inputs: - model_owner: string (required) - model_name: string (required) ``` ### 6. Track Prediction History and Files Use `REPLICATE_PREDICTIONS_LIST` to retrieve prediction history, and `REPLICATE_FILES_GET`/`REPLICATE_FILES_LIST` to manage uploaded files. ``` Tool: REPLICATE_PREDICTIONS_LIST - Lists all predictions for the authenticated user with pagination Tool: REPLICATE_FILES_LIST - Lists uploaded files, most recent first Tool: REPLICATE_FILES_GET - Get details of a specific file by ID ``` --- ## Known Pitfalls | Pitfall | Detail | |---------|--------| | Model-specific input keys | Each model has unique input keys and types. Using the wrong key causes validation errors. Always call `REPLICATE_MODELS_GET` first to check the `openapi_schema`. | | File upload encoding | `REPLICATE_CREATE_FILE` requires base64-encoded content. Binary files treated as text (UTF-8) will fail with decode errors. | | Public vs deployment paths | Public models must be run via `REPLICATE_MODELS_PREDICTIONS_CREATE`. Using deployment-oriented paths causes HTTP 404 failures. | | Sync wait limits | `wait_for` supports 1-60 seconds only. Long-running jobs need async handling via webhooks or polling `REPLICATE_PREDICTIONS_LIST`. | | Image model constraints | Image models like flux-1.1-pro have specific constraints (e.g., max width/height 1440px, valid aspect ratios). Check the model schema first. | | Stale file references | Heavy usage creates many uploads. Routinely check `REPLICATE_FILES_LIST` to avoid using stale `file_id` references. | --- ## Quick Reference | Tool Slug | Description | |-----------|-------------| | `REPLICATE_MODELS_GET` | Get model details, schema, and metadata | | `REPLICATE_MODELS_PREDICTIONS_CREATE` | Run a prediction on a model | | `REPLICATE_CREATE_FILE` | Upload a file for model input | | `REPLICATE_MODELS_README_GET` | Get model README documentation | | `REPLICATE_MODELS_VERSIONS_LIST` | List all versions of a model | | `REPLICATE_PREDICTIONS_LIST` | List prediction history with pagination | | `REPLICATE_FILES_LIST` | List uploaded files | | `REPLICATE_FILES_GET` | Get file details by ID | --- *Powered by [Composio](https://composio.dev)*
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