get agentflow by id
GET
https://api.wexa.ai/agentflow/{agentflow_id}
Last modified:2025-04-25 07:37:49
Get AgentFlow by ID
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request GET 'https://api.wexa.ai/agentflow/' \
--header 'x-api-key;'
Response Response Example
{
"_id": "67fdea9b68df1c3e9580a549",
"name": "new platform",
"image": "https://klotdev.blob.core.windows.net/coworkers/wexaworker13.png",
"description": "new platform",
"role": "new platform",
"isActive": true,
"projectID": "67fdea40aac77be632954f13",
"organization_id": "67fdea40aac77be632954f0f",
"initialAgent": "67fdea9b68df1c3e9580a54a",
"created_at": 1744693915.589366,
"updated_at": 1744693915.589376,
"last_used": 1744693915.589377,
"is_deleted": false,
"is_cron_scheduled": false,
"anomaly_detection": {
"is_enabled": false,
"instructions": ""
},
"marketplace_id": "67f73fa6f55e1a49293771eb",
"agents": [
{
"_id": "67fdea9b68df1c3e9580a54a",
"title": "new platform",
"role": "new platform",
"role_description": "new platform",
"llm": {
"model": "azure/gpt-4o",
"temperature": 0,
"max_tokens": 10000
},
"context": [],
"has_knowledge_base": false,
"prompt": {
"template": "new platform",
"variables": [],
"display_template": "[{\"type\":\"paragraph\",\"children\":[{\"text\":\"new platform \"}]}]"
},
"triggers": [],
"is_preview_mode_enabled": false,
"pre_and_post_execution_input": null,
"skills": [
{
"_id": "67fdea9a68df1c3e9580a547",
"name": "Content creator - Content creation",
"projectID": "67fdea40aac77be632954f13",
"connector_id": "67fdea9968df1c3e9580a546",
"description": "Creates content",
"logo": "https://klotdev.blob.core.windows.net/wexa/92d70903-e331-445f-a34d-eebc93d4a520_429-4292382_generalicons-meeting-social-security-icon-png.png",
"connector_name": "Content creator",
"is_deleted": false,
"user_id": null,
"actions": [
{
"_id": "67fdea9a68df1c3e9580a548",
"name": "Content creation",
"endpoint": "/content_creator/generate",
"sort": "generate",
"category": "content_creator",
"previous_action_id": null,
"next_action_id": null,
"is_terminal": true,
"input_schema": {
"fields": [
{
"field_id": "content",
"label": "content to generated",
"type": "object",
"required": true,
"description": "A JSON object with the data that is to be saved in the execution context and should be generated by an LLM. You can follow the instructions given in the task to generate appropriate json data. This is mandatory and you should provide the data in the format mentioned in the task. If nothing is mentioned, just interpret any relevant data and provide it in the JSON format."
}
]
},
"output_schema": {
"fields": [
{
"field_id": "content",
"label": "Generated content",
"type": "object",
"required": true,
"description": "A JSON object representing the generated content based on the provided instructions."
}
]
},
"description": "This is a dummy connector that simply returns the input data as the output data.So when no other skills are available, this connector can be used."
}
],
"initial_action_id": "67fdea9a68df1c3e9580a548"
}
],
"agent_type": "skilled_agent",
"next_agent": null
}
],
"goal_structure": null,
"conclusion": null,
"parent_agentflow_id": "1234",
"agentflow_type": "master",
"failover_goal": null
}
Request
Path Params
agentflow_id
string
required
Responses
Modified at 2025-04-25 07:37:49