Anthropic Style

Use the Anthropic Messages API format

SilentAPI provides an endpoint compatible with the Anthropic Messages API at /v1/messages. Point the Anthropic SDK at SilentAPI and send your API key.

Endpoint

Method	Path	Description
POST	`/v1/messages`	Create a message (Anthropic Messages API)

Basic Request

curl https://api.silentapi.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "claude-sonnet-5.5",
    "max_tokens": 1024,
    "messages": [{"role":"user","content":"What is zero data retention (ZDR)?"}]
  }'

Response:

{
  "id": "msg_1719584000",
  "type": "message",
  "role": "assistant",
  "model": "claude-sonnet-5.5",
  "content": [{
    "type": "text",
    "text": "Zero data retention means no prompts or outputs are kept."
  }],
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 7,
    "output_tokens": 89
  },
  "silentapi": {
    "cost": 0.000084,
    "fallback": null
  }
}

Using the Anthropic SDK

Python

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://api.silentapi.com"
)

message = client.messages.create(
    model="claude-sonnet-5.5",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Explain quantum computing"}
    ]
)
print(message.content[0].text)

TypeScript

import Anthropic from "@anthropic-ai/sdk";

const client = new Anthropic({
    apiKey: "YOUR_API_KEY",
    baseURL: "https://api.silentapi.com"
});

const message = await client.messages.create({
    model: "claude-sonnet-5.5",
    max_tokens: 1024,
    messages: [{ role: "user", content: "Explain quantum computing" }]
});
const responseText = message.content[0].text;

Supported Parameters

Parameter	Type	Description
model	string	A supported text or multimodal model ID
messages	array	Multi-turn conversation messages
system	string	System instruction
max_tokens	integer	Maximum output tokens (required by Anthropic API)
temperature	number	Sampling temperature
top_p	number	Nucleus sampling parameter
stop_sequences	array	Sequences that stop generation
tools	array	Function definitions with name and input_schema
tool_choice	object	Select auto, any, none, or a named tool
thinking	object	Thinking configuration. See Reasoning.
stream	boolean	Enable SSE streaming (see Streaming)

Reasoning

Send thinking with type: "enabled". SilentAPI changes budget_tokens to a reasoning level:

budget_tokens	Reasoning level
Absent	`medium`
1 to 2,048	`low`
2,049 to 8,192	`medium`
8,193 to 32,768	`high`
32,769 to 65,536	`xhigh`
More than 65,536	`max`

Each model supports its own set of levels. SilentAPI changes an unsupported level to the closest supported level. See Reasoning for the rules.

Parameter Handling

Request	Handling
`thinking.type: "disabled"`	Level `none`. Reasoning is off on models that can turn it off. Other models use their lowest level.
`thinking.type: "adaptive"` without `budget_tokens`	Level `medium`
`output_config.effort`	Used as the level: `low`, `medium`, `high`, `xhigh`, or `max`. It wins over `budget_tokens`. `thinking.type: "disabled"` wins over it.
`budget_tokens` on any model	Changed to a level with the table above, then to the closest level the model supports
`temperature` above 2	Limited to 2. See Parameter Handling.

curl https://api.silentapi.com/v1/messages \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "model": "claude-sonnet-5.5",
    "max_tokens": 4096,
    "thinking": {"type": "enabled", "budget_tokens": 4096},
    "messages": [{"role":"user","content":"Compare two sorting algorithms."}]
  }'

Cross-Style Usage

Use any supported text or multimodal model with the Anthropic Messages API. The response uses the Anthropic Messages format.

Streaming

Set stream: true to receive server-sent events (SSE) in the Anthropic Messages API format. See Streaming for the event sequence.