Claude Opus 4.5 - GMI Cloud Documentation

Model ID

anthropic/claude-opus-4.5

Designed for maximum capability without compromise, Claude Opus 4.5 excels at deep reasoning, nuanced analysis, and tasks requiring extensive world knowledge. It offers unparalleled depth for research, strategic planning, and complex problem-solving where quality matters most.

API Usage

You can interact with the Anthropic Claude Opus 4.5 model through various programming languages and methods. Below are examples showing how to use the model’s API.

API Examples

Generate a model response using the chat endpoint of Anthropic Claude Opus 4.5.

Create chat completion

The Chat Completions API endpoint will generate a model response from a list of messages comprising a conversation.

Default

curl https://api.gmi-serving.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful assistant."
      },
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }'

Streaming

curl https://api.gmi-serving.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful assistant."
      },
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "stream": true
  }'

Image Input

curl https://api.gmi-serving.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What is in this image?"
          },
          {
            "type": "image_url",
            "image_url": {
              "url": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg"
            }
          }
        ]
      }
    ],
    "max_completion_tokens": 300
  }'

Functions

curl https://api.gmi-serving.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "messages": [
      {
        "role": "user",
        "content": "What is the weather like in Boston today?"
      }
    ],
    "tools": [
      {
        "type": "function",
        "function": {
          "name": "get_current_weather",
          "description": "Get the current weather in a given location",
          "parameters": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string",
                "description": "The city and state, e.g. San Francisco, CA"
              },
              "unit": {
                "type": "string",
                "enum": ["celsius", "fahrenheit"]
              }
            },
            "required": ["location"]
          }
        }
      }
    ],
    "tool_choice": "auto"
  }'

Python

import requests
import json

url = "https://api.gmi-serving.com/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer *************"
}

payload = {
    "model": "anthropic/claude-opus-4.5",
    "messages": [
        {"role": "system", "content": "You are a helpful AI assistant"},
        {"role": "user", "content": "List 3 countries and their capitals."}
    ],
    "temperature": 0,
    "max_completion_tokens": 500
}

response = requests.post(url, headers=headers, json=payload)
print(json.dumps(response.json(), indent=2))

Create a message

Anthropic’s native Messages API for generating model responses. Supports text and image inputs, and text outputs. Create stateful interactions with the model, using the output of previous responses as input. Extend the model’s capabilities with built-in tools for computer use, text editing, and more. Allow the model access to external systems and data using function calling. Enable extended thinking for complex reasoning tasks.

Default

curl https://api.gmi-serving.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Tell me a three sentence bedtime story about a unicorn."}
    ]
  }'

Streaming

curl https://api.gmi-serving.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "max_tokens": 1024,
    "system": "You are a helpful assistant.",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ],
    "stream": true
  }'

Extended Thinking

curl https://api.gmi-serving.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "max_tokens": 16000,
    "thinking": {
      "type": "enabled",
      "budget_tokens": 10000
    },
    "messages": [
      {"role": "user", "content": "What is the optimal strategy for solving a complex multi-step math problem?"}
    ]
  }'

Functions

curl https://api.gmi-serving.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "What is the weather like in Boston today?"}
    ],
    "tools": [
      {
        "name": "get_current_weather",
        "description": "Get the current weather in a given location",
        "input_schema": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city and state, e.g. San Francisco, CA"
            },
            "unit": {
              "type": "string",
              "description": "Temperature unit",
              "enum": ["celsius", "fahrenheit"]
            }
          },
          "required": ["location"]
        }
      }
    ]
  }'

Image Input

curl https://api.gmi-serving.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What is in this image?"
          },
          {
            "type": "image",
            "source": {
              "type": "url",
              "url": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg"
            }
          }
        ]
      }
    ]
  }'

PDF Input

curl https://api.gmi-serving.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMI_API_KEY" \
  -d '{
    "model": "anthropic/claude-opus-4.5",
    "max_tokens": 1024,
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "text",
            "text": "What is in this document?"
          },
          {
            "type": "document",
            "source": {
              "type": "url",
              "url": "https://www.berkshirehathaway.com/letters/2024ltr.pdf"
            }
          }
        ]
      }
    ]
  }'

Anthropic SDK (Python)

Install the official Anthropic SDK:

pip install anthropic

Basic Example

from anthropic import Anthropic

# Initialize client with custom base URL
client = Anthropic(
    api_key="$GMI_API_KEY", 
    base_url="https://api.gmi-serving.com"
)

# Basic message
message = client.messages.create(
    model="anthropic/claude-opus-4.5",
    max_tokens=100,
    messages=[
        {"role": "user", "content": "What is 2+2? Reply with just the number."}
    ]
)
print(message.content[0].text)
print(f"Usage: input={message.usage.input_tokens}, output={message.usage.output_tokens}")

Streaming Example

from anthropic import Anthropic

client = Anthropic(
    api_key="$GMI_API_KEY",
    base_url="https://api.gmi-serving.com"
)

with client.messages.stream(
    model="anthropic/claude-opus-4.5",
    max_tokens=100,
    messages=[
        {"role": "user", "content": "Count from 1 to 5."}
    ]
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

Claude Code

Claude Code is Anthropic’s agentic coding tool that lives in your terminal. To use Claude Code with this API endpoint, set the following environment variables before starting Claude Code:

export ANTHROPIC_BASE_URL=https://api.gmi-serving.com
export ANTHROPIC_AUTH_TOKEN=$GMI_API_KEY
export API_TIMEOUT_MS=600000
export CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1
export ANTHROPIC_MODEL="anthropic/claude-opus-4.5"
export ANTHROPIC_SMALL_FAST_MODEL="anthropic/claude-sonnet-4.5"
export ANTHROPIC_DEFAULT_SONNET_MODEL="anthropic/claude-sonnet-4.5"
export ANTHROPIC_DEFAULT_OPUS_MODEL="anthropic/claude-opus-4.5"
export ANTHROPIC_DEFAULT_HAIKU_MODEL="anthropic/claude-haiku-4.5"

After setting these environment variables, you can launch Claude Code and it will automatically use the configured API endpoint.

Documentation Index

​API Usage

​API Examples

​Create chat completion

​Default

​Streaming

​Image Input

​Functions

​Python

​Create a message

​Default

​Streaming

​Extended Thinking

​Functions

​Image Input

​PDF Input

​Anthropic SDK (Python)

Basic Example

Streaming Example

​Claude Code

API Usage

API Examples

Create chat completion

Default

Streaming

Image Input

Functions

Python

Create a message

Default

Streaming

Extended Thinking

Functions

Image Input

PDF Input

Anthropic SDK (Python)

Claude Code