relace/relace-search
Tanggal rilis: 2025-12-09
256,000 context · $1.00/M input tokens · $3.00/M output tokens
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...
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
Gunakan contoh kode berikut untuk integrasi dengan API kami:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="relace/relace-search",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)relace relace-search
| Specification | Value |
|---|---|
| Provider | Relace |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 256000 tokens |
| Max Output | 128000 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $1.1 |
| Output | $3.3 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: relace/relace-search
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="relace/relace-search",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "relace/relace-search",
"messages": [{"role": "user", "content": "Hello!"}]
}'
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...
Input
$1 /M
Output
$3 /M
Konteks
256K
Output Maks.
128K
Penggunaan Tool
Didukung
Akses Relace Search melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Harga di WaveSpeedAI: $1.00 per juta token input dan $3.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Relace Search mendukung hingga 256K token konteks dengan hingga 128K token output per permintaan.
Ya. WaveSpeedAI menyediakan Relace Search melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.
Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji Relace Search.