Deepgram Rust Speech To Text

deepgram/deepgram-rust-sdk/.agents/skills/deepgram-rust-speech-to-text

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Use when implementing Deepgram speech-to-text in the Rust SDK, including prerecorded REST transcription, live WebSocket streaming, listen feature flags, Options builder usage, and response handling.

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SKILL.md184 satır

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Skill detayları

Versiyonv1.0.0

YazarDeepgram

Kategoricoding

Skill IDdeepgram/deepgram-rust-sdk/.agents/skills/deepgram-rust-speech-to-text

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Deepgram Rust Audio IntelligenceUse when implementing Deepgram audio intelligence from the Rust SDK, especially when intelligence features are attached to STT Options and batch responses instead of a separate audio-intelligence module.Deepgram Rust Conversational SttUse when implementing Deepgram Flux conversational STT from the Rust SDK, including flux_request APIs, turn events, FluxResponse handling, and turn-detection tuning for voice-agent-style pipelines.Deepgram Rust Management ApiUse when implementing Deepgram project, key, member, scope, billing, invitation, or usage operations from the Rust SDK, including manage feature flags and the real Deepgram::projects/keys/members/scopes/billing/usage APIs.Deepgram Rust Text IntelligenceUse when a user asks for Deepgram text intelligence from Rust. Route to raw HTTP guidance because this crate does not currently expose a dedicated /v1/read client or typed text-intelligence module.Deepgram Rust Text To SpeechUse when implementing Deepgram text-to-speech in the Rust SDK, including Aura model selection, speak feature flags, output file or byte-stream handling, and real crate APIs under speak::options and Speak.Deepgram Python Audio IntelligenceUse when writing or reviewing Python code in this repo that calls Deepgram audio analytics overlays on `/v1/listen` - summarize, topics, intents, sentiment, diarize, redact, detect_language, entity detection. Same endpoint as plain STT but with analytics params. Covers both REST (`client.listen.v1.media.transcribe_url`/`transcribe_file`) and the WSS-supported subset (`client.listen.v1.connect`). Use `deepgram-python-speech-to-text` for plain transcription, `deepgram-python-text-intelligence` for