Messages

Messages is the core of ZylonGPT. You send a conversation history, and Zylon returns the next assistant message as a list of content blocks (text, tool calls, tool results, and more).

Prerequisites

An API token. See Backoffice Developer Console.
Your Zylon hostname (replace {BASE_URL} in the examples).

Basic request and response

Send one user message and get back one assistant message.

Single message
Content blocks

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 32,
    "temperature": 0,
    "messages": [
      { "role": "user", "content": "Write a one-sentence status update about deploying a billing dashboard and fixing three bugs." }
    ]
  }'

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 32,
    "temperature": 0,
    "messages": [
      {
        "role": "user",
        "content": [
          { "type": "text", "text": "Write a one-sentence status update about deploying a billing dashboard and fixing three bugs." }
        ]
      }
    ]
  }'

Example response

{
  "id": "msg_abf981cf3f1c449eacb7a85c064ca505",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "start_timestamp": "2026-02-06T13:23:16.876744Z",
      "stop_timestamp": "2026-02-06T13:23:16.975362Z",
      "text": "Deployed the new billing dashboard and resolved three bugs successfully."
    }
  ],
  "model": "private-gpt",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 95,
    "output_tokens": 16
  }
}

To render plain text, concatenate the text values from any blocks where type is "text".

Messages shape

At minimum, send:

Field	Required	Description
`model`	Yes	Model name to use (commonly `"default"`).
`messages`	Yes	Conversation history.
`max_tokens`	Yes	Maximum tokens to generate.

Each message has:

Field	Description
`role`	`"user"` or `"assistant"`.
`content`	A string, or an array of content blocks.

Validate a request

Use /messages/validate to check payload shape before sending a real request. It returns valid: true or a list of validation errors.

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages/validate" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 32,
    "messages": [
      { "role": "user", "content": "Validate this payload." }
    ]
  }'

Example response:

{ "valid": true, "errors": null }

Multi-turn conversations

To continue a conversation, include the prior turns in messages:

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 16,
    "temperature": 0,
    "messages": [
      { "role": "user", "content": "My name is Ada." },
      { "role": "assistant", "content": "Nice to meet you." },
      { "role": "user", "content": "What is my name? Reply with only the name, no punctuation." }
    ]
  }'

Example response

{
  "id": "msg_9b14c8fd514741d29a0dff8996ca9213",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "start_timestamp": "2026-02-06T10:34:12.924887Z",
      "stop_timestamp": "2026-02-06T10:34:12.974785Z",
      "text": "Ada"
    }
  ],
  "model": "private-gpt",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": { "input_tokens": 135, "output_tokens": 2 }
}

System prompts

Use the top-level system field to control assistant behavior (instead of a "system" role message):

Prefer the top-level system field for system instructions so they are applied consistently across the whole request.

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 8,
    "temperature": 0,
    "system": { "text": "You are a support agent. Reply with only a short ticket title.", "use_default_prompt": false },
    "messages": [
      { "role": "user", "content": "The login button on mobile does not work." }
    ]
  }'

Example response

{
  "id": "msg_4e328dc4baeb42b8a18dc0c4abd89468",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "start_timestamp": "2026-02-06T13:37:36.368426Z",
      "stop_timestamp": "2026-02-06T13:37:36.446733Z",
      "text": "Mobile login button not working"
    }
  ],
  "model": "private-gpt",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": { "input_tokens": 100, "output_tokens": 6 }
}

Structured JSON output (json_schema)

If you need machine-readable output, set response_format.type to json_schema and provide a schema. Zylon returns JSON as text in a text content block.

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 128,
    "response_format": {
      "type": "json_schema",
      "json_schema": {
        "type": "object",
        "additionalProperties": false,
        "properties": {
          "status": { "type": "string" },
          "next_step": { "type": "string" }
        },
        "required": ["status", "next_step"]
      }
    },
    "system": { "text": "Return ONLY valid JSON.", "use_default_prompt": false },
    "messages": [
      { "role": "user", "content": "We deployed the billing dashboard. Return a status and the next step." }
    ]
  }'

Example response

{
  "id": "msg_eaf35004b4654234be5e767ea09e72e6",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "start_timestamp": "2026-02-06T13:39:44.864978Z",
      "stop_timestamp": "2026-02-06T13:39:45.412991Z",
      "text": "{\"status\":\"success\",\"next_step\":\"Monitor adoption and collect feedback.\"}"
    }
  ],
  "model": "private-gpt",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": { "input_tokens": 98, "output_tokens": 16 }
}

Streaming (SSE)

Set stream: true to receive a text/event-stream response containing events like content_block_delta (token deltas).

curl -N -X POST "https://{BASE_URL}/api/gpt/v1/messages" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -d '{
    "model": "default",
    "stream": true,
    "max_tokens": 32,
    "messages": [
      { "role": "user", "content": "Give a three-word tagline for a productivity app." }
    ]
  }'

Example streamed events

event: message_start
data: {"type":"message_start","message":{"id":"msg_b55d29718361410bad4f80f8f67c6b72","type":"message","role":"assistant","content":[],"model":"private-gpt","usage":{}}}

event: content_block_start
data: {"type":"content_block_start","index":0,"block_id":"block_019c331ac11375cea03f7e0fb7a2a044","content_block":{"type":"text","start_timestamp":"2026-02-06T13:18:37.331257Z","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"block_id":"block_019c331ac11375cea03f7e0fb7a2a044","delta":{"type":"text_delta","text":"Focus"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"block_id":"block_019c331ac11375cea03f7e0fb7a2a044","delta":{"type":"text_delta","text":" fast daily"}}

event: content_block_stop
data: {"type":"content_block_stop","stop_timestamp":"2026-02-06T13:18:37.417617Z","index":0,"block_id":"block_019c331ac11375cea03f7e0fb7a2a044"}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"input_tokens":90,"output_tokens":3}}

event: message_stop
data: {"type":"message_stop"}

Async messages

Async messages use the same request body as sync messages—you just call a different endpoint. The main difference is the response shape: sync returns a full message, async returns a message_id you can stream or poll later.

Sync vs async response shape

Sync response
Async response

{
  "id": "msg_abf981cf3f1c449eacb7a85c064ca505",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "start_timestamp": "2026-02-06T13:23:16.876744Z",
      "stop_timestamp": "2026-02-06T13:23:16.975362Z",
      "text": "Deployed the new billing dashboard and resolved three bugs successfully."
    }
  ],
  "model": "private-gpt",
  "stop_reason": "end_turn",
  "stop_sequence": null,
  "usage": {
    "input_tokens": 95,
    "output_tokens": 16
  }
}

{
  "message_id": "1cc8ed5e-fc7a-45e1-baf4-0b916ed32290",
  "status": "pending",
  "message": "Request initiated successfully"
}

Start an async message

curl -X POST "https://{BASE_URL}/api/gpt/v1/messages/async" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "default",
    "max_tokens": 32,
    "messages": [
      { "role": "user", "content": "Say only: async ok" }
    ]
  }'

Stream or poll status

Stream events:

curl -N "https://{BASE_URL}/api/gpt/v1/messages/async/{message_id}/stream" \
  -H "Authorization: Bearer {API_TOKEN}" \
  -H "Accept: text/event-stream"

Poll status:

curl "https://{BASE_URL}/api/gpt/v1/messages/async/{message_id}/status" \
  -H "Authorization: Bearer {API_TOKEN}"

Cancel or delete

Cancel: POST /messages/async/{message_id}/cancel
Delete: DELETE /messages/async/{message_id}/delete

Common mistakes

Wrong method: /messages is POST, not GET.
Missing auth header: include Authorization: Bearer ....
Wrong base URL: use https://{BASE_URL}/api/gpt/v1/.
Invalid request body: use POST /messages/validate to catch schema mistakes early.
Unexpected stops or errors: see Handling stop reasons for causes and fixes.

First Steps

Build with Zylon

Coding Agents

Prerequisites

Basic request and response

Messages shape

Validate a request

Multi-turn conversations

System prompts

Structured JSON output (json_schema)

Streaming (SSE)

Async messages

Start an async message

Stream or poll status

Cancel or delete

Common mistakes

Next steps

Tools

Artifacts

First Steps

Build with Zylon

Coding Agents

​Prerequisites

​Basic request and response

​Messages shape

​Validate a request

​Multi-turn conversations

​System prompts

​Structured JSON output (json_schema)

​Streaming (SSE)

​Async messages

​Start an async message

​Stream or poll status

​Cancel or delete

​Common mistakes

​Next steps

Tools

Artifacts

Prerequisites

Basic request and response

Messages shape

Validate a request

Multi-turn conversations

System prompts

Structured JSON output (json_schema)

Streaming (SSE)

Async messages

Start an async message

Stream or poll status

Cancel or delete

Common mistakes

Next steps