Code Examples

curl -X POST https://api.cline.bot/api/v1/chat/completions \
  -H "Authorization: Bearer $CLINE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "What is 2+2?"}],
    "stream": false
  }'

curl -X POST https://api.cline.bot/api/v1/chat/completions \
  -H "Authorization: Bearer $CLINE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "anthropic/claude-sonnet-4-6",
    "messages": [{"role": "user", "content": "Write a short poem about code."}],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.cline.bot/api/v1",
    api_key="YOUR_API_KEY",
)

# Non-streaming
response = client.chat.completions.create(
    model="anthropic/claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Explain recursion in one sentence."}],
)
print(response.choices[0].message.content)

from openai import OpenAI

client = OpenAI(
    base_url="https://api.cline.bot/api/v1",
    api_key="YOUR_API_KEY",
)

stream = client.chat.completions.create(
    model="anthropic/claude-sonnet-4-6",
    messages=[{"role": "user", "content": "Write a function to reverse a string in Python."}],
    stream=True,
)

for chunk in stream:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="", flush=True)
print()

from openai import OpenAI
import json

client = OpenAI(
    base_url="https://api.cline.bot/api/v1",
    api_key="YOUR_API_KEY",
)

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "Get weather for a location",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {"type": "string", "description": "City name"}
                },
                "required": ["location"],
            },
        },
    }
]

response = client.chat.completions.create(
    model="anthropic/claude-sonnet-4-6",
    messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
    tools=tools,
)

# Check if the model wants to call a tool
choice = response.choices[0]
if choice.message.tool_calls:
    tool_call = choice.message.tool_calls[0]
    print(f"Tool: {tool_call.function.name}")
    print(f"Args: {tool_call.function.arguments}")

import requests

response = requests.post(
    "https://api.cline.bot/api/v1/chat/completions",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={
        "model": "anthropic/claude-sonnet-4-6",
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
)

data = response.json()
print(data["choices"][0]["message"]["content"])

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://api.cline.bot/api/v1",
  apiKey: "YOUR_API_KEY",
})

// Non-streaming
const response = await client.chat.completions.create({
  model: "anthropic/claude-sonnet-4-6",
  messages: [{ role: "user", content: "Explain async/await in one sentence." }],
})
console.log(response.choices[0].message.content)

import OpenAI from "openai"

const client = new OpenAI({
  baseURL: "https://api.cline.bot/api/v1",
  apiKey: "YOUR_API_KEY",
})

const stream = await client.chat.completions.create({
  model: "anthropic/claude-sonnet-4-6",
  messages: [{ role: "user", content: "Write a haiku about TypeScript." }],
  stream: true,
})

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content
  if (content) {
    process.stdout.write(content)
  }
}
console.log()

const response = await fetch("https://api.cline.bot/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "anthropic/claude-sonnet-4-6",
    messages: [{ role: "user", content: "Hello!" }],
    stream: false,
  }),
})

const data = await response.json()
console.log(data.choices[0].message.content)

# Install
npm install -g @anthropic-ai/cline

# Authenticate with a Cline API key
cline auth -p cline -k "YOUR_API_KEY" -m anthropic/claude-sonnet-4-6

# Simple prompt
cline "Explain what a REST API is."

# Pipe input
cat README.md | cline "Summarize this document."

# Use a specific model
cline -m google/gemini-2.5-pro "Analyze this codebase."

# YOLO mode for automation
cline -y "Run tests and fix failures."