In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Chatling and elmah.io workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
List chatbot templates
Get a list of all the available chatbot templates.
Create chatbot
Create a new chatbot.
List chatbots
Get a list of all existing chatbots.
Retrieve chatbot
Retrieve details of a specific chatbot.
Update chatbot settings
Update settings for a specific chatbot.
List contacts
Get a list of all contacts.
Retrieve contact
Retrieve details of a specific contact.
Delete contact
Delete a specific contact.
Delete contact
Delete a specific contact from the project.
List conversations
Get a list of all conversations.
Retrieve conversation
Retrieve details of a specific conversation.
List data sources
Get a list of all data sources in the knowledge base.
List settings
Retrieve a list of project settings.
Update settings
Update the project settings.
List members
Retrieve a list of project members.
List AI models
Retrieve a list of available AI models.
List AI languages
Retrieve a list of supported AI languages.
Chat
Send a chat request to the AI service.
Add link
Add a link to the knowledge base.
Add text
Add text to the knowledge base.
To set up Chatling integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Chatling to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
List path
Retrieves a list of paths for the application.
Update path
Updates an existing path entry in the application.
List path
Retrieve details of all paths.
Update path
Update an existing path entry.
Create integration
Create a new integration from various platforms.
Set up Uptime Monitoring
Establish a monitoring system to track uptime.
Set up Heartbeats
Configure a system to log application heartbeats.
Set up Deployment Tracking
Initiate a tracking process for deployments.
Clear logs
Remove logs from the CLI interface.
Create message
Creates a new message with a specified title.
Get message
Retrieves the details of a specific message using its ID.
Search messages
Searches for messages based on log ID.
Delete messages
Deletes multiple messages based on criteria.
Hide message
Hides a specific message so it is no longer visible.
Fix message
Fixes a specific issue with a message.
List messages
Queries the API for a list of the 15 most recent messages.
Search messages
Searches messages by query terms.
Fetch next messages
Fetches the next list of messages using the searchAfter property.
Delete message
Deletes a specific message by its unique URL.
Hide message
Hides a message by using the _hide endpoint.
Fix message
Marks a message as fixed by using the _fix endpoint.
To set up elmah.io integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to elmah.io to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the elmah.io official documentation to get a full list of all API endpoints and verify the scraped ones!
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