From f71e27af15a174dffbb279f7fb8f34cc7ea0d323 Mon Sep 17 00:00:00 2001
From: lorenzejay <lorenzejaytech@gmail.com>
Date: Thu, 2 Jul 2026 11:51:55 -0700
Subject: [PATCH] Remove local stream tool call runner

---
 scripts/stream_tool_call_runner.py | 84 ------------------------------
 1 file changed, 84 deletions(-)
 delete mode 100644 scripts/stream_tool_call_runner.py

diff --git a/scripts/stream_tool_call_runner.py b/scripts/stream_tool_call_runner.py
deleted file mode 100644
index da2a58e02..000000000
--- a/scripts/stream_tool_call_runner.py
+++ /dev/null
@@ -1,84 +0,0 @@
-"""Real OpenAI Responses API runner for streamed tool-call deltas.
-
-Fill in ``OPENAI_API_KEY`` below, then run from the repository root:
-
-    uv run python scripts/stream_tool_call_runner.py
-"""
-
-from __future__ import annotations
-
-import os
-
-# ruff: noqa: T201
-from crewai.llms.providers.openai.completion import OpenAICompletion
-from dotenv import load_dotenv
-
-
-load_dotenv()
-
-
-MODEL = "gpt-4o-mini"
-
-
-def get_weather(city: str) -> str:
-    return f"The weather in {city} is sunny and 72F."
-
-
-def main() -> None:
-
-    llm = OpenAICompletion(
-        model=MODEL,
-        api="responses",
-        api_key=os.getenv("OPENAI_API_KEY"),
-        stream=True,
-        additional_params={
-            "tool_choice": {"type": "function", "name": "get_weather"},
-        },
-    )
-
-    tool_schema = {
-        "type": "function",
-        "function": {
-            "name": "get_weather",
-            "description": "Get the weather for a city.",
-            "parameters": {
-                "type": "object",
-                "properties": {
-                    "city": {
-                        "type": "string",
-                        "description": "The city to check.",
-                    }
-                },
-                "required": ["city"],
-                "additionalProperties": False,
-            },
-        },
-    }
-
-    with llm.stream_events(
-        "Call get_weather for Paris. Do not answer directly.",
-        tools=[tool_schema],
-        available_functions={"get_weather": get_weather},
-    ) as stream:
-        for frame in stream.llm:
-            if frame.type != "llm_stream_chunk":
-                continue
-
-            tool_call = frame.data.get("tool_call")
-            if not tool_call:
-                print(f"text delta: {frame.content!r}")
-                continue
-
-            function = tool_call["function"]
-            print(
-                "tool delta: "
-                f"chunk={frame.data['chunk']!r} "
-                f"name={function['name']!r} "
-                f"arguments={function['arguments']!r}"
-            )
-
-    print(f"final result: {stream.result!r}")
-
-
-if __name__ == "__main__":
-    main()