concept

Bring-your-own-LLM (BYO-LLM)

Bring-your-own-LLM (BYO-LLM) is the developer pattern where a tool or product lets users configure their own model and API key — instead of locking them into the product's bundled LLM.

BYO-LLM became a major differentiator in 2026 because users wanted control over which model their tool used and over per-token costs. Examples: Continue.dev (IDE plugin), Cline (VS Code agent), OpenRouter as the integration layer, ChatBox UI, many SillyTavern-style chat apps. Users supply their OpenAI / Anthropic / OpenRouter / local Ollama / custom endpoint. The trade-off vs bundled LLM: more setup, more user-side responsibility for cost + quality, but no vendor lock-in. Many tools split the difference by bundling a default and supporting BYO for power users.

When to use bring-your-own-llm (byo-llm)

Common mistakes

FAQ

What is bring-your-own-llm (byo-llm)?

Bring-your-own-LLM (BYO-LLM) is the developer pattern where a tool or product lets users configure their own model and API key — instead of locking them into the product's bundled LLM.

When should I use bring-your-own-llm (byo-llm)?

Tools where power users want model choice. OSS / privacy-focused stacks where users may use local LLMs.

What are the most common mistakes with bring-your-own-llm (byo-llm)?

Hard-coding OpenAI-only assumptions — breaks BYO promises. No telemetry consent — BYO users often want zero analytics.

Last updated: 2026-06-01. Raw markdown: https://promtable.com/glossary/bring-your-own-llm.md.