Anthropic Messages
Send a request through RunAPI's Anthropic-compatible Messages operation.
Overview
Use RunAPI's Anthropic-compatible Messages operation with a compatible model and the protocol's request and response shapes.
Quick start
- Create an API key and set it as RUNAPI_API_KEY.
- Choose a compatible model, then send the documented path parameters and JSON body.
- Read the JSON response or server-sent events shown for this operation, and handle protocol errors.
Endpoint
- Base URL
https://runapi.ai- Contract version
v1- Preferred authentication
x-api-key: YOUR_API_TOKEN
Authentication carriers
RunAPI accepts each carrier listed below. Generated samples use the protocol's preferred header.
- header
Authorization: Bearer YOUR_API_TOKEN- header - Preferred
x-api-key: YOUR_API_TOKEN- header
x-goog-api-key: YOUR_API_TOKEN- query
?key=YOUR_API_TOKEN
Compatible models
Open a model page for current pricing, rate limits, and commercial-usage details.
Show 53 compatible models
- claude-fable-5
- claude-sonnet-5
- claude-opus-5
- claude-opus-4-8
- claude-opus-4-7
- claude-opus-4-6
- claude-sonnet-4-6
- claude-opus-4-5-20251101
- claude-sonnet-4-5-20250929
- claude-haiku-4-5-20251001
- claude-opus-4-1-20250805
- gpt-5.5
- gpt-5.5-pro
- gpt-5.4
- gpt-5.4-mini
- gpt-5.4-nano
- gpt-5.4-pro
- gpt-5.3-codex
- gpt-5.3-codex-spark
- gpt-5.2
- gpt-5.2-pro
- gpt-5.6-luna
- gpt-5.6-sol
- gpt-5.6-terra
- gemini-3.5-flash
- gemini-3.1-pro-preview
- gemini-3-flash-preview
- gemini-2.5-pro
- gemini-2.5-flash
- deepseek-v4-pro
- deepseek-v4-flash
- glm-5.2
- glm-5.1
- glm-5-turbo
- glm-5
- glm-4.7
- glm-4.6
- glm-4.5
- glm-4.5-air
- kimi-k3
- kimi-k2.7-code
- kimi-k2.6
- kimi-k2.5
- MiniMax-M3
- MiniMax-M2.7
- MiniMax-M2.7-highspeed
- MiniMax-M2.5
- MiniMax-M2.5-highspeed
- MiniMax-M2.1
- MiniMax-M2
- grok-4.20-0309-non-reasoning
- grok-4.5
- grok-4.3
Request contract
Only fields with both public protocol and RunAPI support evidence are listed. Additional JSON body fields are passed through.
JSON body10 fields
max_tokensintegerMaximum number of tokens to generate before stopping.
messagesarrayConversation turns in Anthropic Messages format.
messages[].content["string", "array"]messages[].rolestringmodelstringRunAPI model identifier returned by the compatible model catalog.
streambooleanReturn typed Messages events as server-sent events.
Default:false
system["string", "array"]System instructions supplied separately from conversational messages.
temperaturenumberSampling temperature; model support can vary.
toolsarrayTools the model may call.
top_pnumberNucleus sampling probability; model support can vary.
Request example
{
"max_tokens": 64,
"messages": [
{
"content": "Say hello in one sentence.",
"role": "user"
}
],
"model": "claude-sonnet-4-6"
}
Synchronous response
Schema
{
"additionalProperties": true,
"properties": {
"content": {
"type": "array"
},
"id": {
"type": "string"
},
"model": {
"type": "string"
},
"role": {
"const": "assistant",
"type": "string"
},
"stop_reason": {
"type": [
"string",
"null"
]
},
"type": {
"const": "message",
"type": "string"
},
"usage": {
"additionalProperties": true,
"properties": {
"input_tokens": {
"type": "integer"
},
"output_tokens": {
"type": "integer"
}
},
"required": [
"input_tokens",
"output_tokens"
],
"type": "object"
}
},
"required": [
"id",
"type",
"role",
"content",
"model",
"stop_reason",
"usage"
],
"type": "object"
}
Example
{
"content": [
{
"text": "Hello! How can I help today?",
"type": "text"
}
],
"id": "msg_example",
"model": "claude-sonnet-4-6",
"role": "assistant",
"stop_reason": "end_turn",
"stop_sequence": null,
"type": "message",
"usage": {
"input_tokens": 12,
"output_tokens": 8
}
}
SSE event: message_start
Schema
{
"additionalProperties": true,
"properties": {
"message": {
"type": "object"
},
"type": {
"const": "message_start",
"type": "string"
}
},
"required": [
"type",
"message"
],
"type": "object"
}
Example
{
"message": {
"content": [],
"id": "msg_example",
"model": "claude-sonnet-4-6",
"role": "assistant",
"stop_reason": null,
"stop_sequence": null,
"type": "message",
"usage": {
"input_tokens": 12,
"output_tokens": 1
}
},
"type": "message_start"
}
SSE event: content_block_delta
Schema
{
"additionalProperties": true,
"properties": {
"delta": {
"type": "object"
},
"index": {
"type": "integer"
},
"type": {
"const": "content_block_delta",
"type": "string"
}
},
"required": [
"type",
"index",
"delta"
],
"type": "object"
}
Example
{
"delta": {
"text": "Hello",
"type": "text_delta"
},
"index": 0,
"type": "content_block_delta"
}
SSE event: message_delta
Schema
{
"additionalProperties": true,
"properties": {
"delta": {
"type": "object"
},
"type": {
"const": "message_delta",
"type": "string"
},
"usage": {
"additionalProperties": true,
"properties": {
"output_tokens": {
"type": "integer"
}
},
"required": [
"output_tokens"
],
"type": "object"
}
},
"required": [
"type",
"delta",
"usage"
],
"type": "object"
}
Example
{
"delta": {
"stop_reason": "end_turn",
"stop_sequence": null
},
"type": "message_delta",
"usage": {
"output_tokens": 8
}
}
SSE event: message_stop
Schema
{
"additionalProperties": true,
"properties": {
"type": {
"const": "message_stop",
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
Example
{
"type": "message_stop"
}
Protocol error: invalid_request
Schema
{
"additionalProperties": true,
"properties": {
"error": {
"additionalProperties": true,
"properties": {
"message": {
"type": "string"
},
"type": {
"type": "string"
}
},
"required": [
"type",
"message"
],
"type": "object"
},
"request_id": {
"type": "string"
},
"type": {
"const": "error",
"type": "string"
}
},
"required": [
"type",
"error"
],
"type": "object"
}
Example
{
"error": {
"message": "max_tokens is required",
"type": "invalid_request_error"
},
"request_id": "req_example",
"type": "error"
}
Usage
Schema
{
"additionalProperties": true,
"properties": {
"input_tokens": {
"type": "integer"
},
"output_tokens": {
"type": "integer"
}
},
"required": [
"input_tokens",
"output_tokens"
],
"type": "object"
}
Example
{
"input_tokens": 12,
"output_tokens": 8
}
Generated Code Samples
Each cURL, JavaScript, and Python sample sends the validated request from this contract without requiring a protocol-specific SDK.
curl -X POST https://runapi.ai/v1/messages \
-H x-api-key:\ YOUR_API_TOKEN \
-H Content-Type:\ application/json \
-d \{\"model\":\"claude-sonnet-4-6\",\"max_tokens\":64,\"messages\":\[\{\"role\":\"user\",\"content\":\"Say\ hello\ in\ one\ sentence.\"\}\]\}
const response = await fetch("https://runapi.ai/v1/messages", {
method: "POST",
headers: {
"x-api-key": "YOUR_API_TOKEN",
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "claude-sonnet-4-6",
"max_tokens": 64,
"messages": [
{
"role": "user",
"content": "Say hello in one sentence."
}
]
})
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();
console.log(data);
Install
pip install requests
import requests
response = requests.post(
"https://runapi.ai/v1/messages",
headers={"x-api-key": "YOUR_API_TOKEN", "Content-Type": "application/json"},
json={"model": "claude-sonnet-4-6", "max_tokens": 64, "messages": [{"role": "user", "content": "Say hello in one sentence."}]}
)
response.raise_for_status()
print(response.json())