Using Deepgram Audio Intelligence (Rust SDK)

Use this skill when the user wants transcript plus enrichment from audio, not a standalone text analysis request.

When to use this product

• Running summarization, topics, intents, sentiments, entity detection, paragraphs, search, diarization, or utterances against audio.
• Explaining that the Rust crate exposes these features through STT Options, not a separate audio_intelligence module.

Authentication

Audio intelligence rides on the listen feature because it is implemented through prerecorded transcription.

[dependencies]
deepgram = { version = "0.10.0", default-features = false, features = ["listen"] }
tokio = { version = "1", features = ["full"] }

let dg = deepgram::Deepgram::new(std::env::var("DEEPGRAM_API_KEY")?)?;

Quick start

Quick start: prerecorded audio + intelligence flags

use deepgram::{
    common::{
        audio_source::AudioSource,
        options::{Language, Options},
    },
    Deepgram,
};
use tokio::fs::File;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let api_key = std::env::var("DEEPGRAM_API_KEY")?;
    let dg = Deepgram::new(&api_key)?;

    let file = File::open("examples/audio/bueller.wav").await?;
    let source = AudioSource::from_buffer_with_mime_type(file, "audio/wav");

    let options = Options::builder()
        .language(Language::en_US)
        .punctuate(true)
        .detect_entities(true)
        .intents(true)
        .sentiment(true)
        .topics(true)
        .summarize(true)
        .paragraphs(true)
        .utterances(true)
        .diarize(true)
        .build();

    let response = dg.transcription().prerecorded(source, &options).await?;

    println!("transcript: {}", response.results.channels[0].alternatives[0].transcript);
    println!("summary: {:?}", response.results.summary);
    println!("topics: {:?}", response.results.topics);
    println!("intents: {:?}", response.results.intents);
    println!("sentiments: {:?}", response.results.sentiments);
    println!("entities: {:?}", response.results.channels[0].alternatives[0].entities);
    Ok(())
}

Key parameters

• Intelligence flags on common::options::OptionsBuilder: detect_entities, intents, sentiment, topics, summarize, paragraphs, utterances, diarize, search, keywords, keyterms, multichannel.
• Result locations:

- response.results.summary - response.results.topics - response.results.intents - response.results.sentiments - response.results.channels[0].alternatives[0].entities - response.results.channels[0].alternatives[0].paragraphs - response.results.utterances - response.results.channels[0].search

API reference (layered)

1. In-repo

- src/common/options.rs - src/common/batchresponse.rs - src/listen/rest.rs - examples/transcription/rest/prerecordedfrom_file.rs

1. OpenAPI

- Raw spec: https://developers.deepgram.com/openapi.yaml - Endpoint reference: https://developers.deepgram.com/reference/speech-to-text/listen-pre-recorded

1. AsyncAPI

- Usually not the primary source for full audio-intelligence response shapes in this crate - Raw spec: https://developers.deepgram.com/asyncapi.yaml

1. Context7

- /llmstxt/developersdeepgramllms_txt

1. Product docs

- https://developers.deepgram.com/docs/audio-intelligence

Gotchas

1. No separate Rust module exists. Audio intelligence is expressed as STT options plus prerecorded response fields.
2. Use prerecorded for full coverage. The richest typed results live in common::batch_response; live StreamResponse does not expose the same intelligence objects.
3. Response fields are nested. Some features live on results, others under channels[...].alternatives[...].
4. Feature availability varies by API mode. The crate shares one Options builder, but not every flag is equally meaningful for live streaming.

Example files in this repo

• examples/transcription/rest/prerecordedfromfile.rs
• examples/transcription/rest/prerecordedfromurl.rs
• examples/transcription/rest/callback.rs

Central product skills

For cross-language Deepgram product knowledge — the consolidated API reference, documentation finder, focused runnable recipes, third-party integration examples, and MCP setup — install the central skills:

npx skills add deepgram/skills

This SDK ships language-idiomatic code skills; deepgram/skills ships cross-language product knowledge (see api, docs, recipes, examples, starters, setup-mcp).