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37 lines
1.6 KiB
37 lines
1.6 KiB
# LLM Integration Examples
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This directory contains examples demonstrating integration with various Large Language Model providers.
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## Examples
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### Azure OpenAI
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- [azure_agent_api_verison.py](azure_agent_api_verison.py) - Azure API version handling
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- [azure_agent.py](azure_agent.py) - Azure OpenAI integration
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- [azure_model_support.py](azure_model_support.py) - Azure model support
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### Claude
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- [claude_4_example.py](claude_examples/claude_4_example.py) - Claude 4 integration
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- [claude_4.py](claude_examples/claude_4.py) - Claude 4 implementation
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- [swarms_claude_example.py](claude_examples/swarms_claude_example.py) - Swarms Claude integration
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### DeepSeek
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- [deepseek_r1.py](deepseek_examples/deepseek_r1.py) - DeepSeek R1 model
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- [fast_r1_groq.py](deepseek_examples/fast_r1_groq.py) - Fast R1 with Groq
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- [grok_deepseek_agent.py](deepseek_examples/grok_deepseek_agent.py) - Grok DeepSeek integration
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### Mistral
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- [mistral_example.py](mistral_example.py) - Mistral model integration
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### OpenAI
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- [4o_mini_demo.py](openai_examples/4o_mini_demo.py) - GPT-4o Mini demonstration
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- [reasoning_duo_batched.py](openai_examples/reasoning_duo_batched.py) - Batched reasoning with OpenAI
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- [test_async_litellm.py](openai_examples/test_async_litellm.py) - Async LiteLLM testing
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### Qwen
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- [qwen_3_base.py](qwen_3_base.py) - Qwen 3 base model
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## Overview
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These examples demonstrate how to integrate Swarms agents with various LLM providers including OpenAI, Anthropic Claude, Azure OpenAI, Mistral, DeepSeek, and Qwen. Each example shows provider-specific configurations, API handling, and best practices.
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