Wexa AI
  1. Agentflows
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        POST
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        GET
      • Get agentflow by projectId and UserId
        GET
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        GET
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        POST
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        POST
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  1. Agentflows

Get agentflow by projectId and UserId

GET
https://api.wexa.ai/agentflow/{agentflow_id}/user/{executed_by}/project/{projectID}
Last modified:2025-04-25 07:40:56

Get AgentFlow by User ID#

Retrieve all AgentFlow associated with a specific user by providing their unique user_id. This endpoint enables you to access and manage the AI Coworker workflows that a particular user has created and is actively utilizing within the organization. It's essential for personalized workflow management, auditing user-specific activities, and tailoring automation strategies to individual user needs.

Request

Authorization
Add parameter in header
x-api-key
Example:
x-api-key: ********************
Path Params

Responses

🟢200Get agentflow by projectId and UserId
application/json
Body

Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request GET 'https://api.wexa.ai/agentflow//user//project/' \
--header 'x-api-key: <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
}
Modified at 2025-04-25 07:40:56
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