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POST
/
messages
Python (Anthropic SDK)
from anthropic import Anthropic

client = Anthropic(
    auth_token="your-api-key",
    base_url="https://api.subconscious.dev",
)

message = client.messages.create(
    model="subconscious/tim-qwen3.6-27b",
    max_tokens=1024,
    messages=[{"role": "user", "content": "What is the capital of France?"}],
)

print(message.content[0].text)
{
  "id": "msg_abc123",
  "content": [
    {
      "text": "<string>",
      "thinking": "<string>",
      "signature": "<string>",
      "id": "<string>",
      "name": "<string>",
      "input": {}
    }
  ],
  "model": "subconscious/tim-qwen3.6-27b",
  "stop_sequence": "<string>",
  "usage": {
    "input_tokens": 123,
    "output_tokens": 123,
    "cache_read_input_tokens": 123
  }
}

Documentation Index

Fetch the complete documentation index at: https://docs.subconscious.dev/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
x-api-key
string
header
required

API key from your Subconscious dashboard. Accepted by the Anthropic Messages endpoints in place of the Authorization header, for use with the Anthropic SDK.

Body

application/json
​
model
enum<string>
required

The model to use for completion.

Available options:
subconscious/tim-qwen3.6-27b
Example:

"subconscious/tim-qwen3.6-27b"

​
messages
object[]
required

The conversation history. Each message has a role and content. Content is either a string or an array of content blocks (text, image, tool_use, tool_result, thinking).

Example:
[
  {
    "role": "user",
    "content": "What is the capital of France?"
  }
]
​
max_tokens
integer
required

The maximum number of tokens to generate before stopping. Required.

Example:

1024

​
system

A system prompt: a string or an array of text content blocks.

​
stream
boolean
default:false

If true, responses are streamed as Server-Sent Events using the Anthropic event protocol (message_start, content_block_start, content_block_delta, content_block_stop, message_delta, message_stop).

​
temperature
number

Amount of randomness injected into the response.

Required range: 0 <= x <= 1
​
top_p
number

Nucleus sampling parameter.

Required range: 0 <= x <= 1
​
top_k
integer

Only sample from the top K options for each subsequent token.

​
stop_sequences
string[]

Custom text sequences that will cause the model to stop generating.

​
tools
object[]

Definitions of tools the model may use.

​
tool_choice
object

How the model should use the provided tools.

​
thinking
object

Enable extended thinking. When enabled, the response includes thinking content blocks before the final text block.

​
metadata
object

An object describing metadata about the request.

​
chat_template_kwargs
object

Subconscious extension. Controls model-specific features such as auto-compaction (Subconscious Cache).

Response

Successful message

​
id
string

A unique identifier for the message.

Example:

"msg_abc123"

​
type
enum<string>

The object type.

Available options:
message
​
role
enum<string>
Available options:
assistant
​
content
object[]

An array of content blocks. Text blocks ({type:"text", text}), thinking blocks ({type:"thinking", thinking, signature}), and tool_use blocks ({type:"tool_use", id, name, input}).

​
model
string
Example:

"subconscious/tim-qwen3.6-27b"

​
stop_reason
enum<string>

The reason the model stopped generating.

Available options:
end_turn,
max_tokens,
tool_use
​
stop_sequence
string | null

The custom stop sequence that was generated, if any.

​
usage
object