One YAML file.
One command.
A local agent.

from openai import OpenAI
client = OpenAI(base_url="http://localhost:8000/v3", api_key="not-needed")

tools = [{"type": "function", "function": {
    "name": "search_docs",
    "description": "Search the user's local documents",
    "parameters": {"type": "object",
                   "properties": {"query": {"type": "string"}},
                   "required": ["query"]}}}]   # hand-written schema

messages = [{"role": "user", "content": question}]
while True:                                    # the loop, by hand
    r = client.chat.completions.create(
        model="Qwen3.5-4B-int4-ov", messages=messages,
        tools=tools, tool_choice="auto")
    choice = r.choices[0]
    if choice.finish_reason != "tool_calls":
        print(choice.message.content)
        break
    messages.append(choice.message)
    for call in choice.message.tool_calls:     # dispatch, by hand
        args = json.loads(call.function.arguments)  # may be malformed
        result = run_my_tool(call.function.name, args)
        messages.append({"role": "tool",
                         "tool_call_id": call.id,
                         "content": str(result)})

model:
  name: Qwen3.5-4B-int4-ov
  device: GPU
  tool_parser: qwen3coder
tools:
  - name: search_docs
    type: builtin
agent:
  type: native
  max_iterations: 10

$ ovat serve workflow.yml
$ ovat run workflow.yml -i "what do my notes say about Q3?"