What it does: Retrieve available ASR (Automatic Speech Recognition) providers and their models, filtered by language. The transcriber is the agent’s “ears” — it converts the caller’s spoken audio into text for the LLM to process. Use this endpoint to identify which ASR models support the languages your agent is configured to use.The language parameter is required. For multilingual agents (up to 3 languages), pass all language codes together so only models that support every language in the combination are returned.
Filter by one or more language codes. Repeat this parameter for multiple languages (e.g. ?language=en-IN&language=hi-IN). Returns only ASR models that support all specified languages.
providerId
string
No
Filter results to a specific ASR provider (e.g. gnani, deepgram).
Identifying which ASR models support a specific language or language combination before configuring an agent
Filtering the transcription model list to only show compatible options in a configuration UI
Validating that your current ASR model still supports a new language you are adding to a multilingual agent
Cross-referencing with the Update AgentadvanceSettings compatibility table to verify model-specific features
The provider.providerId and modelId values returned here map directly to the provider and model fields in the Update AgentasrParams object. Use them as-is.
The language parameter is required. Requests without at least one language value will return a 404 error. Obtain valid language codes from the Get Languages endpoint.
For multilingual agents, pass all language codes in a single request (e.g. ?language=en-IN&language=hi-IN). This ensures only models that support every language in the set are returned, preventing incompatible configurations.
Save the requestId from every response. You will need it if you contact Gnani support to trace a specific request.
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