LinkAI Agent Caller

Call LinkAI applications and workflows through API. Supports multiple apps/workflows configured in config.json.

The available apps are dynamically loaded from config.json at skill loading time.

Setup

This skill requires a LinkAI API key. If not configured:

1. Get your API key from https://link-ai.tech/console/api-keys
2. Set the key using: env_config(action="set", key="LINKAI_API_KEY", value="your-key")

Configuration

1. Copy config.json.template to config.json
2. Configure your apps/workflows:

{
  "apps": [
    {
      "app_code": "your_app_code",
      "app_name": "App Name",
      "app_description": "What this app does"
    }
  ]
}

3. The skill description will be automatically updated when the agent loads this skill

Usage

Important: Scripts are located relative to this skill’s base directory.

When you see this skill in <available_skills>, note the <base_dir> path.

CRITICAL: Always use bash command to execute the script:

# General pattern (MUST start with bash):
bash "<base_dir>/scripts/call.sh" "<app_code>" "<question>" [model] [stream] [timeout]

# DO NOT execute the script directly like this (WRONG):
# "<base_dir>/scripts/call.sh" ...

# Parameters:
# - app_code: LinkAI app or workflow code (required)
# - question: User question (required)
# - model: Override model (optional, uses app default if not specified)
# - stream: Enable streaming (true/false, default: false)
# - timeout: curl timeout in seconds (default: 120, recommended for video/image generation)

IMPORTANT – Timeout Configuration:

• The script has a default timeout of 120 seconds (suitable for most cases)
• For complex tasks (video generation, large workflows), pass a longer timeout as the 5th parameter
• The bash tool also needs sufficient timeout – set its timeout parameter accordingly
• Example: bash(command="bash <script> <app_code> <question> '' 'false' 180", timeout=200)

Examples

Call an app (uses default 60s timeout)

bash(command='bash "<base_dir>/scripts/call.sh" "G7z6vKwp" "What is AI?"', timeout=60)

Call an app with specific model

bash(command='bash "<base_dir>/scripts/call.sh" "G7z6vKwp" "Explain machine learning" "LinkAI-4.1"', timeout=60)

Call a workflow with custom timeout (video generation)

# Pass timeout as 5th parameter to script, and set bash timeout slightly longer
bash(command='bash "<base_dir>/scripts/call.sh" "workflow_code" "Generate a sunset video" "" "false" "180"', timeout=180)

bash "<base_dir>/scripts/call.sh" "workflow_code" "Analyze this data: ..."

Supported Models

You can specify any LinkAI supported model:

• LinkAI-4.1 – Latest GPT-4.1 model (1000K context)
• LinkAI-4.1-mini – GPT-4.1 mini (1000K context)
• LinkAI-4o – GPT-4o model (128K context)
• LinkAI-4o-mini – GPT-4o mini (128K context)
• deepseek-chat – DeepSeek-V3 (64K context)
• deepseek-reasoner – DeepSeek-R1 reasoning model
• claude-4-sonnet – Claude 4 Sonnet (200K context)
• gemini-2.5-pro – Gemini 2.5 Pro (1000K context)
• And many more…

Full model list: https://link-ai.tech/console/models

Response Format

Success response:

{
  "app_code": "G7z6vKwp",
  "content": "AI stands for Artificial Intelligence...",
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 50,
    "total_tokens": 60
  }
}

Error response:

{
  "error": "Error description",
  "message": "Detailed error message"
}

Features

• ✅ Multiple Apps: Configure and call multiple LinkAI apps/workflows
• ✅ Dynamic Loading: Apps are loaded from config.json at runtime
• ✅ Model Override: Optionally specify model per request
• ✅ Streaming Support: Enable streaming output
• ✅ Knowledge Base: Apps can use configured knowledge bases
• ✅ Plugins: Apps can use enabled plugins (image recognition, web search, etc.)
• ✅ Workflows: Execute complex multi-step workflows

Notes

• Each app/workflow maintains its own configuration (prompt, model, temperature, etc.)
• Apps can have knowledge bases attached for domain-specific Q&A
• Workflows execute from start node to end node and return final output
• Token usage and costs depend on the model used
• See LinkAI documentation for pricing: https://link-ai.tech/console/funds
• The skill description is automatically generated from config.json when loaded

Troubleshooting

“LINKAI_API_KEY environment variable is not set”

• Use env_config tool to set the API key

“app_code is required”

• Make sure you’re passing the app_code as the first parameter

“应用不存在” (App not found)

• Check that the app_code is correct
• Ensure you have access to the app

“账号积分额度不足” (Insufficient credits)

• Top up your LinkAI account credits