Relace Search
The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic multi-step reasoning to produce highly precise results 4x faster than any frontier model. It's designed to serve as a subagent that passes its findings to an "oracle" coding agent, who orchestrates/performs the rest of the coding task. To use relace-search you need to build an appropriate agent harness, and parse the response for relevant information to hand off to the oracle. Read more about it in the [Relace documentation](https://docs.relace.ai/docs/fast-agentic-search/agent).
relace/relace-search
- Context
- 256k tokens
- Completion cap
- 128,000
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-12-08
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "relace/relace-search",
"messages": [{"role": "user", "content": "Hola"}]
}'Frequently asked questions
- What is Relace Search?
- The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic multi-step reasoning to produce highly precise results 4x faster than any frontier model. It's designed to serve as a subagent that passes its findings to an "oracle" coding agent, who orchestrates/performs the rest of the coding task. To use relace-search you need to build an appropriate agent harness, and parse the response for relevant information to hand off to the oracle. Read more about it in the [Relace documentation](https://docs.relace.ai/docs/fast-agentic-search/agent). Relace Search runs on the Geek Hub API (OpenAI-compatible). Model id: relace/relace-search.
- Is Relace Search free?
- No. Input is $1.0901 per 1M tokens and output is $3.2702 per 1M tokens on Geek Hub (markup included).
- What is the context length of Relace Search?
- Relace Search has a 256k tokens context window. It supports up to 128,000 completion tokens.
- Does Relace Search support tool calling and structured outputs?
- Relace Search accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Relace Search released?
- Relace Search was released on 2025-12-08.