# Standby Actor in TypeScript (`honzakirchner/llm-wiki-manager`) Actor Standby Actor in TypeScript. - **URL**: https://apify.com/honzakirchner/llm-wiki-manager.md - **Developed by:** [Jan Kirchner](https://apify.com/honzakirchner) (community) - **Categories:** Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### What does LLM Wiki Manager do? **LLM Wiki Manager** is a standby Apify Actor that exposes an HTTP endpoint for inbound Notion-style webhook payloads. It accepts JSON requests on `/notion`, logs a compact set of file update metadata when a file object is present, and logs the `verification_token` field when the payload includes one. Because it runs as an Apify Actor, you can host it with a managed standby URL, inspect requests from the Standby tab, monitor runs, connect it to automations, and integrate it through the Apify API. If you want to test the Actor locally first, you can run it with `apify run` and send sample requests to the local standby server. ### Why use LLM Wiki Manager? This Actor is useful when you want a lightweight webhook receiver for wiki or knowledge-base workflows without building and hosting a separate API service. It gives you a simple place to observe incoming file update events, verify request payloads, and extend the workflow later with storage, downstream API calls, or synchronization logic. Typical use cases include validating incoming Notion automations, auditing metadata changes for updated documents, and using Apify as a managed integration surface for internal tooling. The standby deployment model also makes it easy to expose a stable endpoint while keeping the implementation in a normal Actor codebase. ### How to use LLM Wiki Manager 1. Open the Actor in Apify Console or run it locally with `apify run`. 2. Start the standby Actor and wait for the web server to become ready. 3. Send a `POST` request to the `/notion` endpoint with a JSON payload. 4. Include `verification_token` if your sender provides one and include a file object in one of the supported payload locations. 5. Check the Actor logs to confirm that the verification token and file metadata were recorded. ### Input This Actor does not require a start input schema because it is driven by HTTP requests while running in standby mode. The request schema for the standby API is described in `.actor/openapi.json` using Apify’s `webServerSchema` support. The `POST /notion` endpoint accepts a JSON object. The Actor currently looks for file metadata in these locations: - `file` - `data.file` - `file_update.file` - `event.file` - `entity` Example request body: ```json { "verification_token": "secret-token", "data": { "file": { "id": "file-123", "name": "Engineering spec", "url": "https://www.notion.so/file-123", "last_edited_time": "2026-06-01T12:00:00.000Z" } } } ```` ### Output This Actor is an integration-style standby service and does not publish dataset items or files by default. It responds synchronously to HTTP requests and writes operational details to the Actor log. Successful response: ```json { "ok": true } ``` Error response for invalid JSON: ```json { "ok": false, "error": "Invalid JSON payload" } ``` You can download dataset outputs in formats such as JSON, HTML, CSV, or Excel when an Actor uses datasets, but this Actor currently does not emit dataset records. ### Data table | Field | Type | Description | | --- | --- | --- | | `verification_token` | string | Logged when present in the incoming payload. | | `id` | string | File identifier logged when found in the payload. | | `name` | string | File name logged when found in the payload. | | `title` | string | Alternate file title if supplied by the sender. | | `url` | string | File URL logged when present. | | `last_edited_time` | string | Last edit timestamp logged when present. | ### Pricing / Cost estimation How much does it cost to run this Actor? For low-volume webhook handling, costs should usually be minimal because the Actor only processes lightweight JSON requests and logs metadata. Actual cost depends on how long the standby Actor runs, request volume, and your Apify pricing plan. If you are testing on a small scale, Apify’s free tier may be enough. Keep runs focused and avoid unnecessary background processing if you want to minimize compute usage. ### Tips or Advanced options Use the Standby tab generated from the Actor’s OpenAPI schema to test `/notion` directly in Apify Console. If your sender’s payload shape is more specific than the current flexible schema, you can tighten `.actor/openapi.json` and the extraction logic together. If you later want durable audit trails, extend the Actor to store normalized webhook events in a dataset or key-value store and update the output schema accordingly. That will make the results visible in the Output tab and through the Apify API. ### FAQ, disclaimers, and support This Actor is intended for receiving webhook-like JSON payloads and logging operational metadata. Make sure you only process data you are authorized to receive and store, and review any Notion or third-party platform terms that apply to your integration. The current implementation is intentionally conservative: it logs selected metadata fields and does not attempt to mutate external systems. If your webhook payload shape differs from the documented example, you may need to adjust the schema and extraction paths. If you want to extend the Actor, use the project Issues tab or your normal repository workflow to track changes. Customization for storage, downstream synchronization, or richer validation is straightforward from this starting point. ## Actor input object example ```json {} ``` # Actor output Schema # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("honzakirchner/llm-wiki-manager").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("honzakirchner/llm-wiki-manager").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call honzakirchner/llm-wiki-manager --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=honzakirchner/llm-wiki-manager", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Standby Actor in TypeScript", "description": "Standby Actor in TypeScript.", "version": "0.0", "x-build-id": "XmW1qTrTLhDNIfWJK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/honzakirchner~llm-wiki-manager/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-honzakirchner-llm-wiki-manager", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/honzakirchner~llm-wiki-manager/runs": { "post": { "operationId": "runs-sync-honzakirchner-llm-wiki-manager", "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/honzakirchner~llm-wiki-manager/run-sync": { "post": { "operationId": "run-sync-honzakirchner-llm-wiki-manager", "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", "properties": {} }, "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 } } } } } } } } } } ```