OpenAI Speech to Text / Create Transcription #16544
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""" WalkthroughA new module was introduced to enable audio transcription using the OpenAI API. This action, named "Create Transcription," supports multiple models and configurable options such as language, response format, and additional output details. The implementation prepares a multipart form-data request with user-specified parameters and sends it to OpenAI's transcription endpoint. The package version was incremented to reflect the new feature addition. Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant ActionModule
participant OpenAI API
User->>ActionModule: Provide audio file and options
ActionModule->>ActionModule: Prepare multipart form data
ActionModule->>OpenAI API: POST /audio/transcriptions with form data
OpenAI API-->>ActionModule: Return transcription result
ActionModule-->>User: Return transcription response and summary
Assessment against linked issues
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Actionable comments posted: 2
🧹 Nitpick comments (2)
components/openai/actions/create-transcription/create-transcription.mjs (2)
62-66: Consider using numeric type for temperature.The temperature parameter represents a numeric value between 0 and 1, but it's defined as a string type. Consider changing to
type: "number"with appropriate min/max constraints to ensure valid input values and avoid type conversion issues.temperature: { - type: "string", + type: "number", label: "Temperature", description: "The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.", + min: 0, + max: 1, optional: true, },
83-90: Unused variable in destructuring.The
createTranscriptionvariable is destructured fromthisbut isn't used directly, which may cause confusion. Instead, you can usethis.createTranscription()directly in the code.async run({ $ }) { const { /* eslint-disable no-unused-vars */ openai, file, - createTranscription, ...fields } = this;
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🔇 Additional comments (9)
components/openai/package.json (1)
3-3: Version increment looks appropriate.The version bump from 0.9.4 to 0.10.0 follows semantic versioning principles, correctly indicating the addition of new functionality (transcription feature) in a backward-compatible manner.
components/openai/actions/create-transcription/create-transcription.mjs (8)
48-60: Handle response format compatibility with model selection.The description mentions that
gpt-4o-transcribeandgpt-4o-mini-transcribeonly supportjsonformat, but there's no validation to ensure compatible selections. Consider adding validation for this constraint.You should add validation to ensure the response format is compatible with the selected model. For example:
async run({ $ }) { const { /* eslint-disable no-unused-vars */ openai, file, ...fields } = this; + // Validate response format compatibility with model + if ((fields.model === "gpt-4o-transcribe" || fields.model === "gpt-4o-mini-transcribe") && + fields.response_format && fields.response_format !== "json") { + throw new Error(`Model ${fields.model} only supports 'json' response format`); + }
67-72: Add validation for timestamp_granularities dependency on response_format.The description states that
timestamp_granularitiesrequiresresponse_formatto be set toverbose_json, but there's no validation to enforce this dependency.Consider adding validation to ensure that when
timestamp_granularitiesis provided,response_formatis set toverbose_json:async run({ $ }) { const { /* eslint-disable no-unused-vars */ openai, file, ...fields } = this; + // Validate timestamp_granularities dependency on response_format + if (fields.timestamp_granularities && fields.timestamp_granularities.length > 0 && + fields.response_format !== "verbose_json") { + throw new Error("timestamp_granularities can only be used with response_format set to verbose_json"); + }
1-4: LGTM: Appropriate imports.The imports are appropriate for the functionality being implemented, including the OpenAI app module, FormData for multipart requests, and fs for file operations.
5-10: LGTM: Component metadata is well-defined.The component metadata is correctly defined with an appropriate key, descriptive name, informative description with a link to the documentation, and a proper version number.
19-28: LGTM: Model options are well-defined.The model options include the appropriate choices for OpenAI's transcription models, including the latest models like gpt-4o-transcribe and gpt-4o-mini-transcribe.
74-82: LGTM: Helper method implementation is clean.The
createTranscriptionhelper method is cleanly implemented to use the OpenAI app's _makeRequest method with the appropriate endpoint and parameters.
97-104: LGTM: Parameters are properly appended to FormData.The code correctly appends all fields to the FormData object, handling the file content separately and adding all other parameters through the loop.
112-114: LGTM: Response handling is appropriate.The code correctly exports a summary message and returns the API response to the user.
Resolves #16501
Summary by CodeRabbit
New Features
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