Overview

Electron implements the standard OpenAI Chat Completions wire format. The official OpenAI SDKs (Python, JavaScript, Go, Java, etc.) work out of the box — change base_url to https://api.smallest.ai/waves/v1 and your existing code is portable. Most OpenAI request fields flow through verbatim: messages, temperature, top_p, max_tokens, tools, tool_choice, response_format, stream, stream_options, seed, stop, logit_bias, logprobs, and more.

Set "stream": true to receive tokens as they’re generated via Server-Sent Events (SSE). Include "stream_options": {"include_usage": true} to get a final usage chunk so you can bill exactly the tokens served, even if the client disconnects mid-stream. See Streaming.

Standard OpenAI tools array with tool_calls in the response. With a voice-agent-style system prompt, Electron also emits a short conversational filler in the content field alongside tool_calls, so voice agents can speak the filler while the tool runs in the background. Reduces perceived latency on actions like database lookups and webhook calls. See Tool Calling.

Repeated prompt prefixes (system prompts, RAG context, conversation history) are served from cache automatically. usage.prompt_tokens_details.cached_tokens is returned on every response so you can audit cache hit rates. See Prefix Caching.

Electron speaks 70 languages out of the box, with particularly strong fluency on Indian-state languages — Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Urdu — and credible coverage of Nepali, Sinhala, and many lower-resource South Asian languages. See the Model Card for the full list.

Electron is designed to slot into a complete voice pipeline alongside Pulse for transcription and Lightning for speech synthesis. See the Voice Agent cookbook for an end-to-end example.