Providers

The LLM and the speech providers are props, imported from curb/providers. Keys stay in the environment (Configuration).

Export	What it gives you
`kugelaudio`	`kugelaudio.llm()`, `kugelaudio.stt()`, `kugelaudio.tts()`
`anthropic`	An LLM
`openai`	An LLM, `openai.stt()`, `openai.tts()`
`openaiCompatible`	Any OpenAI-compatible LLM
`azure`	`azure.stt()`
`deepgram`	`deepgram.stt()`
`elevenlabs`	`elevenlabs.stt()`, `elevenlabs.tts()`
`cartesia`	`cartesia.tts()`
`defaultKugelVoice`	`defaultKugelVoice(language?)`: the default voice of a language
`DEFAULT_VOICE_LANGUAGE`	The language with none set, `"en"`
`KUGELAUDIO_LLM_MODELS`	The models `kugelaudio.llm()` accepts
`DEFAULT_KUGELAUDIO_LLM_MODEL`	The one it uses by default

`kugelaudio`

Runs on one key, KUGELAUDIO_API_KEY.

`kugelaudio.llm(options?)`

KugelAudio’s EU-hosted LLM, in closed alpha.

Option	Type	Default
`model`	one of `KUGELAUDIO_LLM_MODELS`	`DEFAULT_KUGELAUDIO_LLM_MODEL`

`kugelaudio.stt(options?)`

Kugel Ear 1.

Option	Type	Default	What it does
`language`	`string`	detects German or English	`"de"`, or `"de,fr"` to detect among several, expecting the first. Supported: de, en, fr, it, es, pt, nl, pl, ro
`turnDetection`	`"kugelturn"`, `"vad"`	`"kugelturn"`	What ends a caller’s turn: KugelTurn hears when the speaker finished; `vad` waits for a second of pause
`turnDetectionLevel`	`"responsive"`, `"conservative"`	`"responsive"`	`conservative` holds longer through a pause mid-thought
`boostedPhrases`	`string[]`		Names and terms to spell the way you write them (Pronunciation)
`dictionaryIds`	`number[]`	every active dictionary	Dictionaries used as vocabulary; `[]` for none
`projectId`	`number`	the key’s project	The project whose dictionaries apply

`kugelaudio.tts(options?)`

Option	Type	Default	What it does
`voice`	`number`	the voice of `language`	A KugelAudio voice id
`model`	`string`	`"kugel-3.5"`	The TTS model
`language`	`string`	`"en"`	How text is read, and which voice reads it when `voice` is not set
`dictionaryIds`	`number[]`		Pronunciation dictionaries. Needs `projectId`
`projectId`	`number`		The number in your dashboard URL

`anthropic`

anthropic(model: string)

Key: ANTHROPIC_API_KEY.

`openai`

openai(model: string)
openai.stt({ model?, language? })
openai.tts({ voice?, model? })

Key: OPENAI_API_KEY.

`openaiCompatible`

Any OpenAI-compatible endpoint. Its key, when it needs one, is AGENT_LLM_API_KEY, else OPENAI_API_KEY.

Option	Type	What it does
`baseURL`	`string`	The endpoint, like `http://127.0.0.1:11434/v1`. Required
`model`	`string`	Required
`reasoningEffort`	`"none"`, `"minimal"`, `"low"`, `"medium"`, `"high"`, `"xhigh"`, `"max"`	Sent as `reasoning_effort`. `"none"` switches thinking off where the endpoint takes it
`temperature`	`number`, 0 to 2	Sent as `temperature`
`topP`	`number`, above 0, at most 1	Sent as `top_p`
`body`	object	Extra request fields, sent as written. A field Curb or an option above sets is refused

Unset, each one is the endpoint’s default. See Your own LLM.

`azure`

azure.stt({ language?, region?, segmentationMs? })

Key: AZURE_SPEECH_KEY. region defaults to AZURE_SPEECH_REGION, else eastus. segmentationMs is the trailing silence before Azure ends an utterance, default 300.

`deepgram`

deepgram.stt({ model?, language? })

Key: DEEPGRAM_API_KEY.

`elevenlabs`

elevenlabs.stt({ model? })
elevenlabs.tts({ voice?, model? })

Key: ELEVEN_API_KEY, or ELEVENLABS_API_KEY.

`cartesia`

cartesia.tts({ voice?, model?, language? })

Key: CARTESIA_API_KEY.

Next steps

Voice: choosing the providers.
Configuration: every environment variable.