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
- Contexto
- 256k tokens
- Máx. completion
- 128,000
- Tools
- Sí
- JSON
- Sí
- Lanzamiento
- 2025-12-08
Llámalo desde Geek Hub
El mismo SDK de OpenAI. Cambia el base URL y el id del modelo.
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"}]
}'Preguntas frecuentes
- ¿Qué es 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 corre en el API de Geek Hub (compatible con OpenAI). Id: relace/relace-search.
- ¿Relace Search es gratis?
- No. El input cuesta $1.0901 / 1M tokens y el output $3.2702 / 1M tokens en Geek Hub (markup incluido).
- ¿Cuál es el contexto de Relace Search?
- Relace Search tiene una ventana de 256k tokens. Soporta hasta 128,000 tokens de completion.
- ¿Relace Search soporta tool calling y structured outputs?
- Relace Search acepta tools y tool_choice para function calling. También soporta structured outputs con un JSON schema en response_format.
- ¿Cuándo se lanzó Relace Search?
- Relace Search se lanzó el 8 de diciembre de 2025.