chore: import upstream snapshot with attribution

examples/flex-flows/basic/programmer.py

@@ -0,0 +1,41 @@
+from pathlib import Path
+from typing import TypedDict
+
+from jinja2 import Template
+from llm import my_llm_tool
+
+from promptflow.tracing import trace
+
+BASE_DIR = Path(__file__).absolute().parent
+
+
+class Result(TypedDict):
+    output: str
+
+
+@trace
+def load_prompt(jinja2_template: str, text: str) -> str:
+    """Load prompt function."""
+    with open(BASE_DIR / jinja2_template, "r", encoding="utf-8") as f:
+        prompt = Template(
+            f.read(), trim_blocks=True, keep_trailing_newline=True
+        ).render(text=text)
+        return prompt
+
+
+@trace
+def write_simple_program(
+    text: str = "Hello World!", deployment_name="gpt-4o"
+) -> Result:
+    """Ask LLM to write a simple program."""
+    prompt = load_prompt("hello.jinja2", text)
+    output = my_llm_tool(prompt=prompt, deployment_name=deployment_name, max_tokens=120)
+    return Result(output=output)
+
+
+if __name__ == "__main__":
+    from promptflow.tracing import start_trace
+
+    start_trace()
+    result = write_simple_program("Hello, world!", "gpt-4o")
+    print(result)