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POST
/
api
/
v1
/
llm
/
responses
/
{response_id}
Python (SDK)
from mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.responses.update(response_id="resp_abc123", metadata={
        "status": "reviewed",
        "reviewer": "john_doe",
    })

    # Handle response
    print(res)
{
  "id": "resp_abc123",
  "object": "response",
  "created_at": 1735689600,
  "completed_at": 1735689601,
  "status": "completed",
  "error": null,
  "incomplete_details": null,
  "background": false,
  "instructions": null,
  "max_output_tokens": null,
  "max_tool_calls": 30,
  "metadata": {
    "status": "reviewed",
    "reviewer": "john_doe"
  },
  "model": "meetkai:functionary-urdu-mini-pak",
  "output": [
    {
      "type": "message",
      "id": "msg_abc123",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "The capital of France is Paris.",
          "annotations": []
        }
      ],
      "status": "completed"
    }
  ],
  "output_text": "The capital of France is Paris.",
  "parallel_tool_calls": true,
  "previous_response_id": null,
  "reasoning": {
    "effort": null,
    "summary": null
  },
  "service_tier": "auto",
  "store": true,
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "medium"
  },
  "tool_choice": "auto",
  "tools": [],
  "truncation": "auto",
  "usage": {
    "input_tokens": 8,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 7,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 15
  },
  "user": null
}

Documentation Index

Fetch the complete documentation index at: https://docs.mka1.com/llms.txt

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

Authorizations

​
Authorization
string
header
required

Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.

Headers

​
X-On-Behalf-Of
string

Optional external end-user identifier forwarded by the API gateway.

Path Parameters

​
response_id
string
required

The unique identifier of the response, formatted as 'resp_' or 'resp-' followed by alphanumeric characters.

Pattern: ^resp[-_][a-zA-Z0-9]+$

Body

application/json

Request schema for updating a response's metadata.

​
metadata
object
required

Response

200 - application/json

The updated response object.

​
id
string
required
​
object
any
required
​
created_at
number
required
​
completed_at
number | null
required
​
status
enum<string>
required

The overall status of the response generation. 'completed' means successfully finished, 'failed' means error occurred, 'in_progress' means currently processing, 'cancelled' means user-cancelled, 'queued' means waiting to start, 'incomplete' means partial completion.

Available options:
completed,
failed,
in_progress,
cancelled,
queued,
incomplete
​
error
object
required
​
incomplete_details
object
required
​
background
boolean
required
​
instructions
required
​
max_output_tokens
integer | null
required
Required range: -9007199254740991 <= x <= 9007199254740991
Example:

null

​
max_tool_calls
integer | null
required
Required range: -9007199254740991 <= x <= 9007199254740991
​
metadata
object
required
​
model
string
required
​
output
(Input message item · object | Output message item · object | Output audio item · object | File search call item · object | Computer call item · object | Computer call output item · object | Web search call item · object | Function call item · object | Function call output item · object | Reasoning item · object | Image generation call item · object | Code interpreter call item · object | Local shell call item · object | Local shell call output item · object | Shell call item · object | Shell call output item · object | MCP list tools item · object | MCP approval request item · object | MCP approval response item · object | MCP call item · object | Custom tool call item · object | Custom tool call output item · object | Item reference item · object | Compaction item · object)[]
required

Input message item: A message with role and content. Use this for user, assistant, system, or developer turns in structured inputs.

​
parallel_tool_calls
boolean
required
​
previous_response_id
string | null
required
​
store
boolean
required
​
text
object
required
​
tool_choice
required

Tool choice mode: Selects how the model decides tool usage. Use none, auto, or required.

Available options:
none,
auto,
required
​
tools
(Function tool definition · object | File search tool definition · object | Computer use tool definition · object | Web search tool definition · object | any | Code interpreter tool definition · object | Image generation tool definition · object | Local shell tool definition · object | Shell tool definition · object | Custom tool definition · object | Web search preview tool definition · object | Hosted tool definition · object | Sleep tool definition · object | History tool definition · object | null)[]
required

Function tool definition: Defines a callable function tool. Provide a tool name and parameters schema, with optional description and deferred loading.

​
truncation
enum<string>
required
Available options:
auto,
disabled
​
usage
object
required
​
user
string | null
required
​
conversation
object
​
output_text
string
​
prompt
object
​
prompt_cache_key
string
​
reasoning
object
​
safety_identifier
string
​
service_tier
enum<string>
Available options:
auto,
default,
flex,
priority
​
temperature
number
Required range: 0 <= x <= 2
​
presence_penalty
number
​
frequency_penalty
number
​
top_logprobs
integer
Required range: 0 <= x <= 20
​
top_p
number
Required range: 0 <= x <= 1
​
context_management
object[]