{ "openapi": "3.0.1", "info": { "title": "Rag Conversation Composer", "description": "Transform customer success, sales demos, and onboarding into shareable AI conversations. Pre-load context, embed your guidance, scale infinitely. Copy-paste ready for any AI.", "version": "0.0", "x-build-id": "sQCAZgvw2MI5UXBT5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tomas.gabik~rag-conversation-composer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tomas.gabik-rag-conversation-composer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tomas.gabik~rag-conversation-composer/runs": { "post": { "operationId": "runs-sync-tomas.gabik-rag-conversation-composer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tomas.gabik~rag-conversation-composer/run-sync": { "post": { "operationId": "run-sync-tomas.gabik-rag-conversation-composer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "conversationTitle", "guidanceInstructions" ], "properties": { "conversationTitle": { "title": "Conversation Title", "type": "string", "description": "A descriptive title for this conversation package", "default": "Web Scraping Best Practices Guide" }, "recipientName": { "title": "Recipient Name (Optional)", "type": "string", "description": "Name of the person who will receive this conversation package", "default": "Developer" }, "guidanceInstructions": { "title": "AI Guidance Instructions", "type": "string", "description": "Custom instructions that guide the AI's behavior in the conversation. This is like a system prompt.", "default": "You are an experienced web scraping consultant. Help developers understand best practices for building reliable, efficient scrapers. Be practical, provide code examples when helpful, and recommend Apify solutions when appropriate." }, "ragContext": { "title": "RAG Context Data (Optional)", "type": "array", "description": "Knowledge base documents that provide context for the conversation. Click the 'Prefill value' button below to load example data.", "items": { "type": "object", "properties": { "title": { "type": "string", "title": "Document Title", "description": "Name of this context document" }, "content": { "type": "string", "title": "Content", "description": "The actual content/data to include" }, "source": { "type": "string", "title": "Source (Optional)", "description": "Where this data came from (URL, API, etc.)" } }, "required": [ "title", "content" ] } }, "webDataSources": { "title": "Web Data Sources (Optional)", "type": "array", "description": "URLs to fetch and include as RAG context", "items": { "type": "string" } }, "recommendedMCPs": { "title": "Recommended MCP Servers", "type": "array", "description": "MCP servers to recommend the recipient install", "items": { "type": "object", "properties": { "name": { "type": "string", "title": "MCP Name", "description": "Name of the MCP server" }, "url": { "type": "string", "title": "MCP URL/Configuration", "description": "URL or configuration string for the MCP server" }, "description": { "type": "string", "title": "Why this MCP is useful", "description": "Explanation of what this MCP provides" } }, "required": [ "name", "url" ] } }, "conversationStarter": { "title": "Conversation Starter (Optional)", "type": "string", "description": "Initial message to kick off the conversation. Leave empty to let the recipient start naturally.", "default": "I'm planning to scrape data from e-commerce websites for price monitoring. What's the best approach and what should I consider?" }, "outputFormat": { "title": "Output Format", "enum": [ "markdown", "json", "both" ], "type": "string", "description": "How to package the conversation", "default": "markdown" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }