Dynamic Parameter Handling in Chat Completion API Integration

Step-by-Step Guide to Dynamic Payloads in Chat Completion API

📌 Step 1: What is a Static Chatbot Payload?

In many chatbot systems, a fixed (static) payload is sent to the API, like:

json
{
  "org_id": "/org_id in integration guide",
  "chatbot_id": "//chatbot_id in intergration guide",
  "user_id": "USER_123", //can be any arbitary value
  "variables": { //not compulsory 
    "name": "abc"
  }
}

This is simple, but not flexible. You can’t change the model, prompt, or tools without editing the code.

🔁 Step 2: Why Do We Need a Dynamic Payload?

Real-world apps need to:

• Change model (gpt-4o, gpt-3.5, etc.)

• Update prompts based on user language or logic

• Use function calling (tools)

• Adjust temperature / token limits

• Keep some fields optional

Instead of hardcoding, we use a dynamic payload — a JSON that is constructed at runtime.

🛠️ Step 3: Building a Dynamic Payload Step-by-Step

Here’s a sample dynamic structure you can send:

json

{
  "service": "openai",
  "configuration": {
    "model": "gpt-4o",
    "type": "chat",
    "prompt": "Act as a bot JSON",
    "max_tokens": "default",
    "creativity_level": "default"
  },
  "apikey": "your-api-key"
}

✅ Fields you can customize:

🧩 Step 4: Add Tools Dynamically (Function Calling)

If your chatbot needs to use tools, like BMI calculation, you can add them only when needed:

json
"tools": [
  {
    "type": "function",
    "id": "66aa1347f6048aaaf9e5d34b",
    "name": "scriSybL2C2K",
    "description": "BMI Res",
    "required": ["BMI"],
    "properties": {
      "BMI": {
        "type": "string"
      }
    }
  }
]

✅ You only add this section when tool-based replies are needed.

🧠 Step 5: Optional Fields = Clean JSON

You don’t have to send everything all the time.

Examples of optional fields:

• system_prompt_version_id

• log_probability

• repetition_penalty

• response_count

Only send them when required. This keeps your payload light and dynamic.

✅ Final Words

Using dynamic payloads gives you power to build smart, scalable, and flexible chatbots. Instead of changing code every time, you just change the JSON payload at runtime.

You now understand:

• How static vs dynamic payloads work

• How to build one step by step

• How to use tools and optional fields