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Together AI Data Source

The Together AI connector enables you to access Together AI's API to list available models, manage files, and generate content using various LLM models. This connector is particularly useful for applications that need to integrate AI capabilities, generate text content, build AI-powered applications, or leverage multiple LLM models for different use cases. Follow the instructions below to create a new data flow that ingests data from a Together AI source in Nexla.
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Together AI

Create a New Data Flow​

  1. To create a new data flow, navigate to the Integrate section, and click the New Data Flow button. Then, select the desired flow type from the list, and click the Create button.

  2. Select the Together AI connector tile from the list of available connectors. Then, select the credential that will be used to connect to the Together AI API, and click Next; or, create a new Together AI credential for use in this flow.

  3. In Nexla, Together AI data sources can be created using pre-built endpoint templates, which expedite source setup for common Together AI API endpoints. Each template is designed specifically for the corresponding Together AI API endpoint, making source configuration easy and efficient.
    • To configure this source using a template, follow the instructions in Configure Using a Template.

    Together AI sources can also be configured manually, allowing you to ingest data from Together AI API endpoints not included in the pre-built templates or apply further customizations to exactly suit your needs.
    • To configure this source manually, follow the instructions in Configure Manually.

Configure Using a Template​

Nexla provides pre-built templates that can be used to rapidly configure data sources to ingest data from common Together AI API endpoints. Each template is designed specifically for the corresponding Together AI API endpoint, making data source setup easy and efficient.

Endpoint Settings​

  • Select the endpoint from which this source will fetch data from the Endpoint pulldown menu. Available endpoint templates are listed in the expandable boxes below. Click on an endpoint to see more information about it and how to configure your data source for this endpoint.

    List models

    This endpoint lists models from Together AI's API. Use this endpoint when you need to discover available models, check model availability, or get model information for further API calls.

    • This endpoint automatically retrieves all available models from your Together AI account. No additional configuration is required beyond selecting this endpoint template.

    The List models endpoint uses GET requests to retrieve model information from the Together AI API. The endpoint returns a list of all models available for use in your Together AI account. For more information about the List models endpoint, refer to the Together AI API Documentation.

    List Files

    This endpoint lists metadata for all uploaded data files. Use this endpoint when you need to discover uploaded files, check file status, or get file information for further processing.

    • This endpoint automatically retrieves all uploaded files from your Together AI account. No additional configuration is required beyond selecting this endpoint template.

    The List Files endpoint uses GET requests to retrieve file metadata from the Together AI API. The endpoint returns a list of all files that have been uploaded to your Together AI account. For more information about the List Files endpoint, refer to the Together AI API Documentation.

    List files by ID

    This endpoint gets the contents of a single uploaded data file. Use this endpoint when you need to retrieve a specific file's content, download file data, or access file contents for processing.

    • Enter the file ID in the File ID field. This is the unique identifier for the file you want to retrieve.

    The List files by ID endpoint uses GET requests to retrieve file contents from the Together AI API. The endpoint returns the contents of the specified file. For more information about the List files by ID endpoint, refer to the Together AI API documentation.

Endpoint Testing​

Once the selected endpoint template has been configured, Nexla can retrieve a sample of the data that will be fetched according to the current settings. This allows users to verify that the source is configured correctly before saving.

  • To test the current endpoint configuration, click the Test button to the right of the endpoint selection menu. Sample data will be fetched & displayed in the Endpoint Test Result panel on the right.

  • If the sample data is not as expected, review the selected endpoint and associated settings, and make any necessary adjustments. Then, click the Test button again, and check the sample data to ensure that the correct information is displayed.

Configure Manually​

Together AI data sources can be manually configured to ingest data from any valid Together AI API endpoint. Manual configuration provides maximum flexibility for accessing endpoints not covered by pre-built templates or when you need custom API configurations.

With manual configuration, you can also create more complex Together AI sources, such as sources that use chained API calls to fetch data from multiple endpoints or sources that require custom authentication headers or request parameters.

API Method​

  1. To manually configure this source, select the Advanced tab at the top of the configuration screen.

  2. Select the API method that will be used for calls to the Together AI API from the Method pulldown menu. The most common methods are:

    • GET: For retrieving data from the API (most Together AI endpoints use GET)

API Endpoint URL​

  1. Enter the URL of the Together AI API endpoint from which this source will fetch data in the Set API URL field. This should be the complete URL including the protocol (https://) and any required path parameters. Together AI API endpoints typically follow the pattern {base_url}/{api_version}/{endpoint}, where {base_url} and {api_version} are configured in your credential.

Ensure the API endpoint URL is correct and accessible with your current credentials. You can test the endpoint using the Test button after configuring the URL. The endpoint URL should use the base URL and API version configured in your credential. Common Together AI endpoints include /{api_version}/models for listing models and /{api_version}/files for listing files.

Path to Data​

Optional

If only a subset of the data that will be returned by API endpoint is needed, you can designate the part(s) of the response that should be included in the Nexset(s) produced from this source by specifying the path to the relevant data within the response. This is particularly useful when API responses contain metadata, pagination information, or other data that you don't need for your analysis.

Path to Data is essential when API responses have nested structures. Without specifying the correct path, Nexla might not be able to properly parse and organize your data into usable records. For Together AI API responses, common paths include $[*] for arrays of models or files, or $.data[*] for arrays within data objects.

  • To specify which data should be treated as relevant in responses from this source, enter the path to the relevant data in the Set Path to Data in Response field.

    • For responses in JSON format enter the JSON path that points to the object or array that should be treated as relevant data. JSON paths use dot notation (e.g., $[*] to access all array elements, or $.data[*] to access data arrays).

Request Headers​

Optional

  • If Nexla should include any additional request headers in API calls to this source, enter the headers & corresponding values as comma-separated pairs in the Request Headers field (e.g., header1:value1,header2:value2). Additional headers are often required for API versioning, content type specifications, or custom authentication requirements.

    You do not need to include any headers already present in the credentials. Common headers like Authorization, Content-Type, and Accept are typically handled automatically by Nexla based on your credential configuration. For Together AI, the Authorization header with Bearer token is automatically included from your credential.

Endpoint Testing​

After configuring all settings for the selected endpoint, Nexla can retrieve a sample of the data that will be fetched according to the current configuration. This allows users to verify that the source is configured correctly before saving.

  • To test the current endpoint configuration, click the Test button to the right of the endpoint selection menu. Sample data will be fetched & displayed in the Endpoint Test Result panel on the right.

  • If the sample data is not as expected, review the selected endpoint and associated settings, and make any necessary adjustments. Then, click the Test button again, and check the sample data to ensure that the correct information is displayed.

Save & Activate the Source​

  1. Once all of the relevant steps in the above sections have been completed, click the Create button in the upper right corner of the screen to save and create the new Together AI data source. Nexla will now begin ingesting data from the configured endpoint and will organize any data that it finds into one or more Nexsets.