name: deepgram-go-audio-intelligence description: Use when writing or reviewing Go code in this repo that applies summaries, topics, intents, sentiment, language detection, diarization, redaction, or entity extraction to audio inputs through Listen v1 REST. Route plain transcription to deepgram-go-speech-to-text and plain-text Read requests to deepgram-go-text-intelligence.
Using Deepgram Audio Intelligence from the Go SDK
When to use this product
Use this skill for /v1/listen REST requests that combine transcription with analytics overlays.
- summaries
- topics
- intents
- sentiments
- entity extraction
- language detection
- diarization and redaction where supported
Use a different skill when:
- you only need transcription (
deepgram-go-speech-to-text) - your input is already text (
deepgram-go-text-intelligence)
Authentication
Set DEEPGRAM_API_KEY before creating the listen REST client.
export DEEPGRAM_API_KEY="your_api_key"
Quick start
package main
import (
"context"
"fmt"
"log"
api "github.com/deepgram/deepgram-go-sdk/v3/pkg/api/listen/v1/rest"
listen "github.com/deepgram/deepgram-go-sdk/v3/pkg/client/listen"
interfaces "github.com/deepgram/deepgram-go-sdk/v3/pkg/client/interfaces"
)
func main() {
if err := run(); err != nil {
log.Fatal(err)
}
}
func run() error {
ctx := context.Background()
client := listen.NewRESTWithDefaults()
dg := api.New(client)
resp, err := dg.FromURL(
ctx,
"https://dpgr.am/spacewalk.wav",
&interfaces.PreRecordedTranscriptionOptions{
Model: "nova-3",
Summarize: "v2",
Topics: true,
Sentiment: true,
},
)
if err != nil {
return err
}
if resp.Results.Summary != nil {
fmt.Println(resp.Results.Summary.Result)
}
return nil
}
Key parameters
- analytics live on
interfaces.PreRecordedTranscriptionOptionsSummarize(for example,"v2")TopicsIntentsSentimentDetectLanguageDetectEntitiesDiarizeDiarizeModelRedact
- response payloads are in
pkg/api/listen/v1/rest/interfaces/types.goSentimentsTopicsIntentsEntitiesSummaryV2
- this SDK is REST-first for audio intelligence; the live WS option struct does not expose the same analytics surface
API reference (layered)
- In-repo reference
README.mddocs.gopkg/client/listen/v1/rest/client.gopkg/client/interfaces/v1/types-prerecorded.gopkg/client/interfaces/v1/types-stream.gopkg/api/listen/v1/rest/interfaces/types.go
- OpenAPI
https://developers.deepgram.com/openapi.yaml
- AsyncAPI
https://developers.deepgram.com/asyncapi.yaml
- Context7
/llmstxt/developers_deepgram_llms_txt
- Product docs
https://developers.deepgram.com/docs/stt-intelligence-feature-overviewhttps://developers.deepgram.com/docs/summarizationhttps://developers.deepgram.com/docs/topic-detectionhttps://developers.deepgram.com/docs/intent-recognitionhttps://developers.deepgram.com/docs/sentiment-analysishttps://developers.deepgram.com/docs/language-detectionhttps://developers.deepgram.com/docs/redactionhttps://developers.deepgram.com/docs/diarization
Gotchas
- In this SDK snapshot, audio intelligence is effectively a prerecorded REST feature set.
LiveTranscriptionOptionsdoes not expose the same summarize/topic/intent/sentiment/entity surface.- REST helpers live on
pkg/api/listen/v1/rest; start fromapi.New(listen.NewRESTWithDefaults()), then layer analytics flags ontoPreRecordedTranscriptionOptions.
Example files in this repo
examples/speech-to-text/rest/summary/main.goexamples/speech-to-text/rest/sentiment/main.goexamples/speech-to-text/rest/topic/main.goexamples/speech-to-text/rest/intent/main.go
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).