1 files changed, 0 insertions, 50 deletions
diff --git a/src/agents/02-sandbox/works.py b/src/agents/02-sandbox/works.py
deleted file mode 100644
index d40c3aa..0000000
--- a/src/agents/02-sandbox/works.py
+++ /dev/null
@@ -1,50 +0,0 @@
-import json
-from typing import List
-from langchain_core.messages import SystemMessage, HumanMessage
-from langchain_ollama import ChatOllama
-
-tool_def = {
-    "type": "function",
-    "function": {
-        "name": "validate_user",
-        "description": "Validate user using historical addresses.\\n\\n    Args:\\n        user_id (int): the user ID.\\n        addresses (List[str]): Previous addresses as a list of strings.",
-        "parameters": {
-            "type": "object",
-            "required": ["user_id", "addresses"],
-            "properties": {
-                "addresses": {"type": "array", "items": {"type": "string"}, "description": ""},
-                "user_id": {"type": "integer", "description": ""},
-            },
-        },
-    },
-}
-
-system_prompt = f"""# Tools
-
-You may call one or more functions to assist with the user query.
-
-You are provided with function signatures within <tools></tools> XML tags:
-<tools>
-{json.dumps(tool_def)}
-</tools>
-
-For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:
-<tool_call>
-{{"name": "<function-name>", "arguments": "<args-json-object>"}}
-</tool_call>"""
-
-llm = ChatOllama(
-    model="qwen3:1.7b",
-    temperature=0,
-)
-
-messages = [
-    SystemMessage(content=system_prompt),
-    HumanMessage(content="Could you validate user 123? They previously lived at 123 Fake St in Boston MA and 234 Pretend Boulevard in Houston TX.Think before you call any tools"),
-]
-
-result = llm.invoke(messages)
-
-print("--- Full AIMessage Result ---")
-print(result)
-