# Bytez-com/docs

1 API key. 220,000+ AI models. Bytez is the largest serverless Model Inference API on the internet. Let's build ✨

Repository: https://github.com/Bytez-com/docs
Canonical: https://ross.abutalabs.com/products/bytez-com-docs
Homepage: https://bytez.com/
Language: TypeScript
License Family: other
Topics: llms, mistral, bytez, api, deepseek, multimodla, llama3, opensource, phi4, serverless
Last push: 2026-03-03T22:45:28+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 70, release rhythm 35, longevity 59
- inputs: {"age_days": 828, "days_push": 183, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2718, forks 22 (observed 2026-08-28T04:07:11.810015+00:00)

## What it is
Bytez is a serverless model inference platform offering a unified API with a single key to run 175k+ open and closed-source AI models (LLMs, multimodal, image models) without managing infrastructure. This repository contains its documentation, including API references and SDK usage for the bytez.js client.

## Use cases
- run open-source llms via a single api key
- serverless inference for llama3 or mistral without gpu setup
- deploy ai models with one unified protocol
- stream chat completions from deepseek or phi4
- compare and demo models across many ml tasks
- self-host models with official docker images

## When to choose
- you want to experiment with many different ai models without provisioning gpus or servers
- you need a unified inference api across multiple model providers and task types
- you want quick prototyping with a simple sdk and per-request pricing

## When to avoid
- you need full control over model weights, fine-tuning, or dedicated hardware
- you require strict data residency or fully offline inference
- you depend on a specific sla or self-hosted open-source stack only

## Facets
- artifact type: service
- maturity: active
- function: llm-inference, machine-learning, sdk, api-framework, rag
- domain: artificial-intelligence, machine-learning, large-language-models, apis, developer-tools
- platform: python, cloud
- tags: serverless-inference, model-hub, unified-api, ai-papers, model-deployment, documentation, nodejs, web-server, docker

## Member repositories
- Bytez-com/docs (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:11.810015+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:15:18.557579+00:00, confidence not recorded.
  - readme: https://github.com/Bytez-com/docs (fetched 2026-08-28T04:07:11.810015+00:00, sha da211c77819e)
  - homepage: https://bytez.com/ (fetched 2026-08-29T09:58:39.389353+00:00, sha a4740cd5fd48)
- Data as of 2026-08-30T08:39:29.467469+00:00.