HttpRequest Automate

For platform n8n, automate the submission of multiple prompts to the Anthropic API, efficiently managing batch requests and retrieving results. This workflow simplifies the process of sending and checking the status of batched messages, ensuring timely responses while handling complex integrations. Ideal for users needing to streamline interactions with AI models, it enhances productivity by processing requests in parallel and delivering organized results.

7/8/2025
39 nodes
Complex
manualcomplexexecuteworkflowtriggersticky notewaitaggregateexecuteworkflowlangchainexecutiondatasplitoutfilteradvancedapiintegrationlogicconditional
Categories:
Complex WorkflowManual TriggeredBusiness Process Automation
Integrations:
ExecuteWorkflowTriggerSticky NoteWaitAggregateExecuteWorkflowLangChainExecutionDataSplitOutFilter

Target Audience

  • Developers looking to integrate with the Anthropic API for batch processing.
    - Data Scientists who need to automate the retrieval of AI-generated responses from multiple prompts.
    - Product Managers who want to streamline workflows involving AI interactions.
    - Business Analysts seeking to enhance data processing efficiency by automating API requests.

    • Problem Solved

    This workflow automates the process of sending multiple prompts to the Claude AI model using the Anthropic API. It handles the complexities of batch processing, including submitting requests, checking their status, and retrieving results efficiently. Users no longer need to manually send individual requests and wait for responses, saving time and reducing the potential for errors.

    Workflow Steps

  • Manual Trigger: The workflow starts when manually triggered by the user.
    - Input Preparation: Users provide an array of requests, including parameters such as model and max_tokens.
    - Batch Submission: The workflow submits a batch of requests to the Anthropic API using a POST request.
    - Status Checking: It continuously checks the processing status of the batch until it is marked as ended.
    - Results Retrieval: Once processing is complete, the workflow retrieves the results from the API.
    - Response Parsing: The response is parsed to extract relevant data, converting it into a structured format for easier access.
    - Execution Data Storage: The results are stored for further analysis or reporting, allowing users to track responses based on their custom IDs.

    • Customization Guide

  • Modify Input Requests: Users can change the input array to include different prompts or adjust parameters like max_tokens and model.
    - Change API Version: Update the anthropic-version in the workflow to use a different version of the API as needed.
    - Add Additional Processing Nodes: Users can insert extra nodes for further processing, such as filtering or aggregating results based on specific criteria.
    - Integrate with Other Workflows: This workflow can be linked with other n8n workflows to create more complex automation sequences, enhancing overall functionality.