All templates By NappAI team Airtable Summarizer
Summarize the contents of an Airtable table, providing the user with a brief overview of the table and informing them of the overall status of the records.
graph TD
%%{init: {'theme': 'mc','layout': 'elk'}}%%
Prompt-dprvo[<div><img src="/_astro/square-terminal.BMOXc-nZ.svg" style="height: 20px !important;width: 20px !important"/></div>Prompt]
style Prompt-dprvo stroke:#a170ff
ParseData-xjk5q[<div><img src="/_astro/braces.Djq0PW4_.svg" style="height: 20px !important;width: 20px !important"/></div>Parse Data]
style ParseData-xjk5q stroke:#a170ff
OpenAIModel-953fb[<div><img src="/_astro/openAI.BhmuxEs3.svg" style="height: 20px !important;width: 20px !important"/></div>OpenAI]
style OpenAIModel-953fb stroke:#a170ff
ChatOutput-6acbv[<div><img src="/_astro/messages-square.BaSDmT6g.svg" style="height: 20px !important;width: 20px !important"/></div>Chat Output]
style ChatOutput-6acbv stroke:#a170ff
Airtable-rmmxv[Airtable]
style Airtable-rmmxv stroke:#a170ff
ParseData-xjk5q -.- Prompt-dprvo
linkStyle 0 stroke:#a170ff
Prompt-dprvo -.- OpenAIModel-953fb
linkStyle 1 stroke:#a170ff
OpenAIModel-953fb -.- ChatOutput-6acbv
linkStyle 2 stroke:#a170ff
Airtable-rmmxv -.- ParseData-xjk5q
linkStyle 3 stroke:#a170ff
🧩 Overview
The workflow automates the extraction of records from an Airtable base, transforms the raw data into a human‑readable list, feeds that list to a prompt for summarization, generates a concise summary with an OpenAI language model, and finally presents the result as a chat message. By chaining these steps, users receive an immediate overview of the table contents without manual inspection.
⚙️ Main Features
- Automated data retrieval from a specified Airtable base and table.
- Structured conversion of complex record objects into plain‑text entries.
- Dynamic prompt creation that embeds the formatted record list for summarization.
- AI‑powered summarization using a configurable OpenAI model.
- Chat‑style output that displays the summary in an interactive interface.
🔄 Workflow Steps
| Component Name | Role in the Workflow | Key Inputs | Key Outputs |
|---|---|---|---|
| Airtable | Retrieves records from a selected Airtable base and table. | Base name, table name, fields to read, optional filter, maximum records, operation type. | Data object containing the retrieved Airtable records. |
| Parse Data | Formats the Airtable records into a readable text list using a template. | Data object from Airtable. | Text string representing the formatted record list. |
| Prompt | Builds a prompt that asks the model to summarize the formatted records. | Text string from Parse Data. | Prompt message to be sent to the language model. |
| OpenAI Model | Generates a summary of the records using the constructed prompt. | Prompt message. | Text response containing the summary. |
| Chat Output | Displays the model’s summary as a chat message. | Text response from the OpenAI Model. | Chat message shown to the user. |
🧠Notes
- The Airtable component requires valid API credentials and network access to the Airtable service; incorrect credentials will halt data retrieval.
- Mapping mode can be enabled to process multiple records in parallel; when disabled, only a single record batch is handled at a time.
- The Parse Data template uses
{key}and{key.subkey}syntax to reference nested record fields; any mismatched keys will result in empty placeholders. - The OpenAI Model is configured with a default model name (e.g., gpt‑4.1); changing the model may affect token limits and generation behavior.
- JSON mode is disabled unless explicitly enabled or a schema is supplied; the model will therefore produce plain text unless instructed otherwise.
- The Chat Output component renders the final text in a chat‑style interface; it does not alter the content produced by the model.