test:add model instance example

examples/model_instance/.env.example

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+MOONLIGHT_API_KEY="YOUR MOONLIGHT API KEY"

examples/model_instance/smart_scraper_with_moonlight_model_instace.py

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+""" 
+Basic example of scraping pipeline using SmartScraper and model_instace
+"""
+
+import os, json
+from scrapegraphai.graphs import SmartScraperGraph
+from scrapegraphai.utils import prettify_exec_info
+from langchain_community.chat_models.moonshot import MoonshotChat
+from dotenv import load_dotenv
+load_dotenv()
+
+# ************************************************
+# Define the configuration for the graph
+# ************************************************
+
+
+llm_instance_config = {
+    "model": "moonshot-v1-8k",
+    "base_url": "https://api.moonshot.cn/v1",
+    "moonshot_api_key": os.getenv("MOONLIGHT_API_KEY"),
+}
+
+
+llm_model_instance = MoonshotChat(**llm_instance_config)
+
+graph_config = {
+    "llm": {
+        "model_instance": llm_model_instance, 
+        "model_tokens": 10000
+    },
+    "verbose": True,
+    "headless": True,
+}
+
+# ************************************************
+# Create the SmartScraperGraph instance and run it
+# ************************************************
+
+smart_scraper_graph = SmartScraperGraph(
+    prompt="List me what does the company do, the name and a contact email.",
+    source="https://scrapegraphai.com/",
+    config=graph_config
+)
+
+result = smart_scraper_graph.run()
+print(json.dumps(result, indent=4))
+
+# ************************************************
+# Get graph execution info
+# ************************************************
+
+graph_exec_info = smart_scraper_graph.get_execution_info()
+print(prettify_exec_info(graph_exec_info))