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| 1 | +"""Example: Using LLMClient with different providers. |
| 2 | +
|
| 3 | +This example demonstrates how to use the LLMClient wrapper with different |
| 4 | +LLM providers (Anthropic or OpenAI) through the provider parameter. |
| 5 | +""" |
| 6 | + |
| 7 | +import asyncio |
| 8 | +import os |
| 9 | +from pathlib import Path |
| 10 | + |
| 11 | +import yaml |
| 12 | + |
| 13 | +from mini_agent import LLMClient, LLMProvider, Message |
| 14 | + |
| 15 | + |
| 16 | +async def demo_anthropic_provider(): |
| 17 | + """Demo using LLMClient with Anthropic provider.""" |
| 18 | + print("\n" + "=" * 60) |
| 19 | + print("DEMO: LLMClient with Anthropic Provider") |
| 20 | + print("=" * 60) |
| 21 | + |
| 22 | + # Load config |
| 23 | + config_path = Path("mini_agent/config/config.yaml") |
| 24 | + with open(config_path, encoding="utf-8") as f: |
| 25 | + config = yaml.safe_load(f) |
| 26 | + |
| 27 | + # Initialize client with Anthropic provider |
| 28 | + client = LLMClient( |
| 29 | + api_key=config["api_key"], |
| 30 | + provider=LLMProvider.ANTHROPIC, # Specify Anthropic provider |
| 31 | + model=config.get("model", "MiniMax-M2"), |
| 32 | + ) |
| 33 | + |
| 34 | + print(f"Provider: {client.provider}") |
| 35 | + print(f"API Base: {client.api_base}") |
| 36 | + |
| 37 | + # Simple question |
| 38 | + messages = [Message(role="user", content="Say 'Hello from Anthropic!'")] |
| 39 | + print(f"\n👤 User: {messages[0].content}") |
| 40 | + |
| 41 | + try: |
| 42 | + response = await client.generate(messages) |
| 43 | + if response.thinking: |
| 44 | + print(f"💭 Thinking: {response.thinking}") |
| 45 | + print(f"💬 Model: {response.content}") |
| 46 | + print("✅ Anthropic provider demo completed") |
| 47 | + except Exception as e: |
| 48 | + print(f"❌ Error: {e}") |
| 49 | + |
| 50 | + |
| 51 | +async def demo_openai_provider(): |
| 52 | + """Demo using LLMClient with OpenAI provider.""" |
| 53 | + print("\n" + "=" * 60) |
| 54 | + print("DEMO: LLMClient with OpenAI Provider") |
| 55 | + print("=" * 60) |
| 56 | + |
| 57 | + # Load config |
| 58 | + config_path = Path("mini_agent/config/config.yaml") |
| 59 | + with open(config_path, encoding="utf-8") as f: |
| 60 | + config = yaml.safe_load(f) |
| 61 | + |
| 62 | + # Initialize client with OpenAI provider |
| 63 | + client = LLMClient( |
| 64 | + api_key=config["api_key"], |
| 65 | + provider=LLMProvider.OPENAI, # Specify OpenAI provider |
| 66 | + model=config.get("model", "MiniMax-M2"), |
| 67 | + ) |
| 68 | + |
| 69 | + print(f"Provider: {client.provider}") |
| 70 | + print(f"API Base: {client.api_base}") |
| 71 | + |
| 72 | + # Simple question |
| 73 | + messages = [Message(role="user", content="Say 'Hello from OpenAI!'")] |
| 74 | + print(f"\n👤 User: {messages[0].content}") |
| 75 | + |
| 76 | + try: |
| 77 | + response = await client.generate(messages) |
| 78 | + if response.thinking: |
| 79 | + print(f"💭 Thinking: {response.thinking}") |
| 80 | + print(f"💬 Model: {response.content}") |
| 81 | + print("✅ OpenAI provider demo completed") |
| 82 | + except Exception as e: |
| 83 | + print(f"❌ Error: {e}") |
| 84 | + |
| 85 | + |
| 86 | +async def demo_default_provider(): |
| 87 | + """Demo using LLMClient with default provider.""" |
| 88 | + print("\n" + "=" * 60) |
| 89 | + print("DEMO: LLMClient with Default Provider (Anthropic)") |
| 90 | + print("=" * 60) |
| 91 | + |
| 92 | + # Load config |
| 93 | + config_path = Path("mini_agent/config/config.yaml") |
| 94 | + with open(config_path, encoding="utf-8") as f: |
| 95 | + config = yaml.safe_load(f) |
| 96 | + |
| 97 | + # Initialize client without specifying provider (defaults to Anthropic) |
| 98 | + client = LLMClient( |
| 99 | + api_key=config["api_key"], |
| 100 | + model=config.get("model", "MiniMax-M2"), |
| 101 | + ) |
| 102 | + |
| 103 | + print(f"Provider (default): {client.provider}") |
| 104 | + print(f"API Base: {client.api_base}") |
| 105 | + |
| 106 | + # Simple question |
| 107 | + messages = [Message(role="user", content="Say 'Hello with default provider!'")] |
| 108 | + print(f"\n👤 User: {messages[0].content}") |
| 109 | + |
| 110 | + try: |
| 111 | + response = await client.generate(messages) |
| 112 | + print(f"💬 Model: {response.content}") |
| 113 | + print("✅ Default provider demo completed") |
| 114 | + except Exception as e: |
| 115 | + print(f"❌ Error: {e}") |
| 116 | + |
| 117 | + |
| 118 | +async def demo_provider_comparison(): |
| 119 | + """Compare responses from both providers.""" |
| 120 | + print("\n" + "=" * 60) |
| 121 | + print("DEMO: Provider Comparison") |
| 122 | + print("=" * 60) |
| 123 | + |
| 124 | + # Load config |
| 125 | + config_path = Path("mini_agent/config/config.yaml") |
| 126 | + with open(config_path, encoding="utf-8") as f: |
| 127 | + config = yaml.safe_load(f) |
| 128 | + |
| 129 | + # Create clients for both providers |
| 130 | + anthropic_client = LLMClient( |
| 131 | + api_key=config["api_key"], |
| 132 | + provider=LLMProvider.ANTHROPIC, |
| 133 | + model=config.get("model", "MiniMax-M2"), |
| 134 | + ) |
| 135 | + |
| 136 | + openai_client = LLMClient( |
| 137 | + api_key=config["api_key"], |
| 138 | + provider=LLMProvider.OPENAI, |
| 139 | + model=config.get("model", "MiniMax-M2"), |
| 140 | + ) |
| 141 | + |
| 142 | + # Same question for both |
| 143 | + messages = [Message(role="user", content="What is 2+2?")] |
| 144 | + print(f"\n👤 Question: {messages[0].content}\n") |
| 145 | + |
| 146 | + try: |
| 147 | + # Get response from Anthropic |
| 148 | + anthropic_response = await anthropic_client.generate(messages) |
| 149 | + print(f"🔵 Anthropic: {anthropic_response.content}") |
| 150 | + |
| 151 | + # Get response from OpenAI |
| 152 | + openai_response = await openai_client.generate(messages) |
| 153 | + print(f"🟢 OpenAI: {openai_response.content}") |
| 154 | + |
| 155 | + print("\n✅ Provider comparison completed") |
| 156 | + except Exception as e: |
| 157 | + print(f"❌ Error: {e}") |
| 158 | + |
| 159 | + |
| 160 | +async def main(): |
| 161 | + """Run all demos.""" |
| 162 | + print("\n🚀 LLM Provider Selection Demo") |
| 163 | + print("This demo shows how to use LLMClient with different providers.") |
| 164 | + print("Make sure you have configured API key in config.yaml.") |
| 165 | + |
| 166 | + try: |
| 167 | + # Demo default provider |
| 168 | + await demo_default_provider() |
| 169 | + |
| 170 | + # Demo Anthropic provider |
| 171 | + await demo_anthropic_provider() |
| 172 | + |
| 173 | + # Demo OpenAI provider |
| 174 | + await demo_openai_provider() |
| 175 | + |
| 176 | + # Demo provider comparison |
| 177 | + await demo_provider_comparison() |
| 178 | + |
| 179 | + print("\n✅ All demos completed successfully!") |
| 180 | + |
| 181 | + except Exception as e: |
| 182 | + print(f"\n❌ Error: {e}") |
| 183 | + import traceback |
| 184 | + |
| 185 | + traceback.print_exc() |
| 186 | + |
| 187 | + |
| 188 | +if __name__ == "__main__": |
| 189 | + asyncio.run(main()) |
| 190 | + |
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