Dynamic Tool Loading

curl "https://api.morphllm.com/v1/chat/completions" \
  -H "Authorization: Bearer $MORPH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "morph-kimik3",
    "messages": [
      {"role": "user", "content": "Use Calculator to compute 23 * 47."},
      {
        "role": "system",
        "tools": [
          {
            "type": "function",
            "function": {
              "name": "Calculator",
              "description": "Evaluate one arithmetic expression",
              "parameters": {
                "type": "object",
                "properties": {
                  "expr": {"type": "string"}
                },
                "required": ["expr"]
              }
            }
          }
        ]
      }
    ],
    "tool_choice": "required",
    "max_tokens": 128
  }'

{
  "choices": [
    {
      "message": {
        "role": "assistant",
        "tool_calls": [
          {
            "id": "call_...",
            "type": "function",
            "function": {
              "name": "Calculator",
              "arguments": "{\"expr\":\"23 * 47\"}"
            }
          }
        ]
      },
      "finish_reason": "tool_calls"
    }
  ]
}

import json
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.morphllm.com/v1",
)

search_tools = {
    "type": "function",
    "function": {
        "name": "search_tools",
        "description": "Find tools relevant to a task",
        "parameters": {
            "type": "object",
            "properties": {"query": {"type": "string"}},
            "required": ["query"],
        },
    },
}

messages = [{
    "role": "user",
    "content": "Find the unpaid invoice for Acme and email its owner.",
}]

# 1. K3 discovers which capabilities it needs.
response = client.chat.completions.create(
    model="morph-kimik3",
    messages=messages,
    tools=[search_tools],
    tool_choice="required",
)
assistant = response.choices[0].message
messages.append(assistant.model_dump(exclude_none=True))

call = assistant.tool_calls[0]
loaded_tools = search_registry(json.loads(call.function.arguments)["query"])
messages.append({
    "role": "tool",
    "tool_call_id": call.id,
    "content": json.dumps({
        "loaded": [tool["function"]["name"] for tool in loaded_tools],
    }),
})

# 2. Append the complete schemas at this point in the conversation.
messages.append({"role": "system", "tools": loaded_tools})

# 3. K3 can now call the discovered tools. Keep search_tools available too.
response = client.chat.completions.create(
    model="morph-kimik3",
    messages=messages,
    tools=[search_tools],
)