Wexa.ai
  1. Agentflows
Wexa.ai
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    • Actions
      • create action
      • get action
    • Agentflows
      • get agent flow
        GET
      • failover agentflows
        GET
      • Get agentflow by projectId and UserId
        GET
      • Verify_quota
        POST
      • get agentflow by id
        GET
      • create agentflow
        POST
      • Add skilled agent to agentflow
        POST
      • Update skilled agent
        POST
    • Analytics
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      • get customer
      • Get credit history
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      • get schedules
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      • get schedule coworker by its id
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      • delete schedule by its id
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      • get connectors by projectid
      • get connector by Id
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      • get all available trigger actions
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      • Validate user validity
      • validate workspace credits
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      • get dashboard
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      • create executeflow
      • get executions
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      • get execution by execution id
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      • verify quota
      • get execution details for monitoring
      • execute agentflow
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      • get all connectors
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      • get marketplace coworker by id
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      • hire a coworker
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    • Settings
      • get settings
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      • get skills
      • get skills by category'
      • get skills by id
      • skills by name
      • create skill
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      • create table
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      • delete record
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    • Project member
      • project_member
    • Project
      • Get all projects
      • Get project
      • Get Projects
      • create project
      • update project
      • Delete project
  1. Agentflows

Get agentflow by projectId and UserId

GET
api.wexa.ai/agentflow/67fdea9b68df1c3e9580a549/user/67fdea40aac77be632954f0e/project/67fdea40aac77be632954f13
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request GET 'api.wexa.ai/agentflow/67fdea9b68df1c3e9580a549/user/67fdea40aac77be632954f0e/project/67fdea40aac77be632954f13' \
--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

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

Responses

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

Modified at 2025-04-23 12:16:38
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