Update agent v1

curl --request PATCH \
  --url https://flow.seekr.com/v1/flow/agents/{agent_id} \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "My Agent",
  "instructions": "You are a helpful assistant that can search files, browse the web, and run Python code.",
  "model_id": "deployment-123",
  "temperature": 0.4,
  "reasoning_effort": "medium",
  "tool_ids": [
    "tool-123",
    "tool-456"
  ]
}
'

{
  "id": "<string>",
  "name": "<string>",
  "instructions": "<string>",
  "user_id": "<string>",
  "team_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "model_id": "<string>",
  "output": {
    "instructions": "<string>",
    "model_id": "<string>",
    "temperature": 1
  },
  "temperature": 1,
  "planner_temperature": 1,
  "tools": [
    {
      "name": "<string>",
      "tool_env": {
        "FILE_SEARCH_INDEX": "<string>",
        "DOCUMENT_TOOL_DESC": "<string>",
        "EMBEDDING_MODEL": "<string>",
        "TOP_K": 10,
        "SCORE_THRESHOLD": 0
      },
      "id": "<string>"
    }
  ],
  "last_deployed_at": "2023-11-07T05:31:56Z",
  "active_duration": 0
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

PATCH

flow

agents

{agent_id}

curl --request PATCH \
  --url https://flow.seekr.com/v1/flow/agents/{agent_id} \
  --header 'Authorization: <api-key>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "My Agent",
  "instructions": "You are a helpful assistant that can search files, browse the web, and run Python code.",
  "model_id": "deployment-123",
  "temperature": 0.4,
  "reasoning_effort": "medium",
  "tool_ids": [
    "tool-123",
    "tool-456"
  ]
}
'

{
  "id": "<string>",
  "name": "<string>",
  "instructions": "<string>",
  "user_id": "<string>",
  "team_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "model_id": "<string>",
  "output": {
    "instructions": "<string>",
    "model_id": "<string>",
    "temperature": 1
  },
  "temperature": 1,
  "planner_temperature": 1,
  "tools": [
    {
      "name": "<string>",
      "tool_env": {
        "FILE_SEARCH_INDEX": "<string>",
        "DOCUMENT_TOOL_DESC": "<string>",
        "EMBEDDING_MODEL": "<string>",
        "TOP_K": 10,
        "SCORE_THRESHOLD": 0
      },
      "id": "<string>"
    }
  ],
  "last_deployed_at": "2023-11-07T05:31:56Z",
  "active_duration": 0
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

Active agents transition to Updating during the patch and return to Active once complete. If redeployment fails, the agent status is set to Failed. Agents in Inactive or Failed states remain in their current state after a patch. To activate an updated agent, promote it manually. The tool_ids parameter accepts IDs for any tool type, including agent-as-tools. Agent-as-tools must be created before adding them to tool_ids. See Agent as tool for setup instructions.

Authorizations

Authorization

string

header

required

Your Seekr API key, sent in the Authorization header with no 'Bearer' prefix.

Path Parameters

agent_id

string

required

Body

application/json

name

string | null

instructions

string | null

model_id

string | null

output

AgentOutputConfig · object | null

Optional configuration for the agent's final response. Overrides the top-level settings for response generation.

Show child attributes

temperature

number | null

Controls the predictability of the agent's reasoning. Accepts a value from 0 to 2. Defaults to 0.6. Lower values produce more consistent results, and higher values introduce more variation.

Required range: 0 <= x <= 2

tool_ids

string[] | null

reasoning_effort

enum<string> | null

Controls how much reasoning the agent uses when working through a request. Accepts low, medium, or high, where higher levels produce more thorough reasoning. The speed_optimized and performance_optimized values are only supported for backward compatibility. speed_optimized maps to low, and performance_optimized maps to high.

Available options:

low,

medium,

high,

speed_optimized,

performance_optimized

Response

Success

string

required

name

string

required

instructions

string

required

status

enum<string>

required

Available options:

Inactive,

Pending,

Active,

Updating,

Failed

reasoning_effort

enum<string>

required

Available options:

low,

medium,

high,

speed_optimized,

performance_optimized

user_id

string

required

team_id

string | null

required

created_at

string<date-time>

required

updated_at

string<date-time>

required

model_id

string | null

output

AgentOutputConfig · object | null

Show child attributes

temperature

number | null

Required range: 0 <= x <= 2

planner_temperature

number | null

Required range: 0 <= x <= 2

tools

(FileSearch · object | WebSearch · object | RunPython · object | AgentAsTool · object | MCPConnectorTool · object)[]

FileSearch
WebSearch
RunPython
AgentAsTool
MCPConnectorTool

Show child attributes

last_deployed_at

string<date-time> | null

active_duration

integer

default:0

Required range: x >= 0

Last modified on July 10, 2026

Get agent v1

Preview agent update v1

⌘I

Overview

Endpoints

Update agent v1

Authorizations

Path Parameters

Body

Response