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relace

Relace: 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 Size

256K

Input Price

6,150 Ks/M

Output Price

18,450 Ks/M


Architecture

Text

Supported Parameters

max_tokensseedstoptemperaturetool_choicetoolstop_p

Details

TokenizerOther
Max Completion128,000 tokens
Provider Context256K tokens
ModeratedNo