Developers / Choose your entry point

Build around
the work.

Start with model access, agent workflows or knowledge. Choose the integration path that fits your application.

In short:用于构建 AI 应用的 OpenAI 兼容网关。使用官方 OpenAI SDK 或普通 HTTP 请求，配合您的 Swfte API 密钥即可。

INTEGRATION MAP / ILLUSTRATIVE

application → model access → response

Model access

Connect your application to model access. Start by reviewing routing, authentication and usage requirements.

Explore Connect

Follow the published reference.

Read the SDK examples and integration guidance alongside the product you intend to use.

Open the developer reference

Before your first integration

Agree the credential boundary, test inputs, failure handling and the usage you need to observe.

Discuss an integration

在线试用

交互式 API 演练场

使用实时代码示例和即时结果测试 API 调用。

agents.run()models.list()chat.complete()embeddings.create()workflows.execute()knowledge.query()analytics.track()files.upload()agents.run()models.list()chat.complete()embeddings.create()workflows.execute()knowledge.query()analytics.track()files.upload()

curl https://api.swfte.com/agents/v2/gateway/chat/completions \
  -H "Authorization: Bearer $SWFTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai:gpt-4o-mini",
    "messages": [
      { "role": "user", "content": "Say hello in five words." }
    ]
  }'

开始使用 GitHub →

您的引导式集成路径

通过我们的分步集成指南在几分钟内启动并运行。

export SWFTE_API_KEY="sk-swfte-..."

步骤 1

Create an API key

Open the Connect console, create an API key and keep it in an environment variable.

# pip install openai
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.swfte.com/agents/v2/gateway",
    api_key=os.environ["SWFTE_API_KEY"],
)

步骤 2

Point the OpenAI SDK at Swfte

The gateway is OpenAI-compatible. Install the official openai package and set the base URL.

response = client.chat.completions.create(
    model="openai:gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello, world!"}],
)
print(response.choices[0].message.content)

步骤 3