Add direct LLM streaming helpers

examples/stream_frame_debug_runner.py

@@ -0,0 +1,31 @@
+"""Minimal direct LLM streaming runner.
+
+Run from the repo root:
+
+    uv run python examples/stream_frame_debug_runner.py
+"""
+
+from __future__ import annotations
+
+# ruff: noqa: T201
+import os
+
+from crewai import LLM
+
+
+llm = LLM(model=os.getenv("OPENAI_MODEL", "gpt-4o-mini"))
+messages = [
+    {
+        "role": "user",
+        "content": "Explain CrewAI streaming in two short sentences.",
+    }
+]
+
+chunks = llm.stream_call(messages=messages)
+
+print("--- chunks ---")
+for chunk in chunks:
+    print(chunk.content, end="", flush=True)
+
+# print("\n\n--- result ---")
+# print(chunks.result)