Gateway Quickstart

Everything below assumes you already have a hyre_gw_* key — if not, request access first.

Base configuration

Base URL:  https://gw.hyreagent.fun/api/inference/v1
API key:   hyre_gw_...   (sent as a Bearer token)

Make a request

curl
Python (OpenAI SDK)
Node.js (OpenAI SDK)
Vercel AI SDK
LangChain

curl https://gw.hyreagent.fun/api/inference/v1/chat/completions \
  -H "Authorization: Bearer $HYRE_GATEWAY_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/DeepSeek-V4-Flash",
    "messages": [
      { "role": "user", "content": "Explain impermanent loss in one paragraph." }
    ],
    "max_tokens": 300
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://gw.hyreagent.fun/api/inference/v1",
    api_key=os.environ["HYRE_GATEWAY_KEY"],  # hyre_gw_...
)

response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V4-Flash",
    messages=[
        {"role": "user", "content": "Explain impermanent loss in one paragraph."}
    ],
    max_tokens=300,
)
print(response.choices[0].message.content)

import OpenAI from 'openai'

const client = new OpenAI({
  baseURL: 'https://gw.hyreagent.fun/api/inference/v1',
  apiKey: process.env.HYRE_GATEWAY_KEY, // hyre_gw_...
})

const response = await client.chat.completions.create({
  model: 'deepseek-ai/DeepSeek-V4-Flash',
  messages: [
    { role: 'user', content: 'Explain impermanent loss in one paragraph.' },
  ],
  max_tokens: 300,
})
console.log(response.choices[0].message.content)

import { createOpenAICompatible } from '@ai-sdk/openai-compatible'
import { generateText } from 'ai'

const hyre = createOpenAICompatible({
  name: 'hyre',
  baseURL: 'https://gw.hyreagent.fun/api/inference/v1',
  apiKey: process.env.HYRE_GATEWAY_KEY,
})

const { text } = await generateText({
  model: hyre('deepseek-ai/DeepSeek-V4-Flash'),
  prompt: 'Explain impermanent loss in one paragraph.',
})

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    base_url="https://gw.hyreagent.fun/api/inference/v1",
    api_key=os.environ["HYRE_GATEWAY_KEY"],
    model="deepseek-ai/DeepSeek-V4-Flash",
)

print(llm.invoke("Explain impermanent loss in one paragraph.").content)

Streaming

Set "stream": true — the gateway streams standard OpenAI SSE chunks, including a final usage frame, so SDK streaming helpers work unchanged:

stream = client.chat.completions.create(
    model="zai-org/GLM-5",
    messages=[{"role": "user", "content": "Write a haiku about Solana."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="")

Supported parameters

The request schema follows OpenAI’s /chat/completions:

Parameter	Notes
`model`	Required — a catalog id from `GET /models`
`messages`	Required — up to 1,000 messages
`max_tokens` / `max_completion_tokens`	Positive integer, capped at the model’s context length
`temperature`	`0` – `2`
`top_p`	`0` – `1`
`stop`	String or array of strings
`stream`	Boolean — SSE streaming
`tools`, `tool_choice`	Function calling, passed through to the model
`response_format`	e.g. JSON mode, passed through to the model

Every response carries an X-Request-Id header — include it when reporting an issue.

Gateway Quickstart

Base configuration

Make a request

Streaming

Supported parameters

Next steps

Browse the model catalog

Limits & error handling

​Base configuration

​Make a request

​Streaming

​Supported parameters

​Next steps

Browse the model catalog

Limits & error handling

Base configuration

Make a request

Streaming

Supported parameters

Next steps