Add further examples

examples/structured-response.py

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+#!/usr/bin/env python
+"""Example script demonstrating an interactive LLM chatbot."""
+
+import json
+
+import lmstudio as lm
+
+class BookSchema(lm.BaseModel):
+    """Structured information about a published book."""
+    title: str
+    author: str
+    year: int
+
+model = lm.llm()
+
+result = model.respond("Tell me about The Hobbit", response_format=BookSchema)
+book = result.parsed
+
+print(json.dumps(book, indent=2))

examples/tool-use-multiple.py

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+#!/usr/bin/env python
+"""Example script demonstrating agent use of multiple tools."""
+
+import math
+import lmstudio as lm
+
+def add(a: int, b: int) -> int:
+    """Given two numbers a and b, returns the sum of them."""
+    return a + b
+
+def is_prime(n: int) -> bool:
+    """Given a number n, returns True if n is a prime number."""
+    if n < 2:
+        return False
+    sqrt = int(math.sqrt(n))
+    for i in range(2, sqrt):
+        if n % i == 0:
+            return False
+    return True
+
+model = lm.llm("qwen2.5-7b-instruct")
+model.act(
+    "Is the result of 12345 + 45668 a prime? Think step by step.",
+    [add, is_prime],
+    on_message=print,
+)

examples/tool-use.py

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+#!/usr/bin/env python
+"""Example script demonstrating agent tool use."""
+
+import lmstudio as lm
+
+def multiply(a: float, b: float) -> float:
+    """Given two numbers a and b. Returns the product of them."""
+    return a * b
+
+model = lm.llm("qwen2.5-7b-instruct")
+model.act(
+    "What is the result of 12345 multiplied by 54321?",
+    [multiply],
+    on_message=print,
+)