Repository: Significant-Gravitas/Auto-GPT
File: autogpt_platform/backend/backend/blocks/llm.py (Python)

Code before:
    GPT4O = "gpt-4o"
    GPT4_TURBO = "gpt-4-turbo"
    GPT3_5_TURBO = "gpt-3.5-turbo"
    # Anthropic models
    CLAUDE_3_5_SONNET = "claude-3-5-sonnet-latest"
    CLAUDE_3_5_HAIKU = "claude-3-5-haiku-latest"
    CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
    # Groq models
    GEMMA2_9B = "gemma2-9b-it"
    LLAMA3_3_70B = "llama-3.3-70b-versatile"
    LLAMA3_1_8B = "llama-3.1-8b-instant"
    LLAMA3_70B = "llama3-70b-8192"
    LLAMA3_8B = "llama3-8b-8192"
    MIXTRAL_8X7B = "mixtral-8x7b-32768"
    # Deprecated Groq models
    GEMMA_7B = "gemma-7b-it"
    LLAMA3_1_70B = "llama-3.1-70b-versatile"
    LLAMA3_1_405B = "llama-3.1-405b-reasoning" # missing in the docs
    # Ollama models
    OLLAMA_LLAMA3_3 = "llama3.3"
    OLLAMA_LLAMA3_2 = "llama3.2"
    OLLAMA_LLAMA3_8B = "llama3"
    OLLAMA_LLAMA3_405B = "llama3.1:405b"
    OLLAMA_DOLPHIN = "dolphin-mistral:latest"
    # OpenRouter models
    GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5" # Actually: google/gemini-flash-1.5-8b
    GROK_BETA = "x-ai/grok-beta"
    MISTRAL_NEMO = "mistralai/mistral-nemo"
    COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024"
    COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024"
    EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b"
    DEEPSEEK_CHAT = "deepseek/deepseek-chat" # missing in the library
    PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = (
        "perplexity/llama-3.1-sonar-large-128k-online"
    )
    QWEN_QWQ_32B_PREVIEW = "qwen/qwq-32b-preview"
    NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b"
    NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b"
    AMAZON_NOVA_LITE_V1 = "amazon/nova-lite-v1"
    AMAZON_NOVA_MICRO_V1 = "amazon/nova-micro-v1"
    AMAZON_NOVA_PRO_V1 = "amazon/nova-pro-v1"
    MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b"
    GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b"

    @property
    def metadata(self) -> ModelMetadata:
        return MODEL_METADATA[self]

    @property
    def provider(self) -> str:
        return self.metadata.provider

Review comment (suggestion):
There's a mistake on our side the enum is called `GEMINI_FLASH_1_5_8B` and should point to `google/gemini-flash-1.5-8b` not `google/gemini-flash-1.5` as it's a [different model](https://openrouter.ai/google/gemini-flash-1.5)

Code after:
    GPT4O = "gpt-4o"
    GPT4_TURBO = "gpt-4-turbo"
    GPT3_5_TURBO = "gpt-3.5-turbo"
    # Anthropic models
    CLAUDE_3_5_SONNET = "claude-3-5-sonnet-latest"
    CLAUDE_3_5_HAIKU = "claude-3-5-haiku-latest"
    CLAUDE_3_HAIKU = "claude-3-haiku-20240307"
    # Groq models
    GEMMA2_9B = "gemma2-9b-it"
    LLAMA3_3_70B = "llama-3.3-70b-versatile"
    LLAMA3_1_8B = "llama-3.1-8b-instant"
    LLAMA3_70B = "llama3-70b-8192"
    LLAMA3_8B = "llama3-8b-8192"
    MIXTRAL_8X7B = "mixtral-8x7b-32768"
    # Groq preview models
    DEEPSEEK_LLAMA_70B = "deepseek-r1-distill-llama-70b"
    # Ollama models
    OLLAMA_LLAMA3_3 = "llama3.3"
    OLLAMA_LLAMA3_2 = "llama3.2"
    OLLAMA_LLAMA3_8B = "llama3"
    OLLAMA_LLAMA3_405B = "llama3.1:405b"
    OLLAMA_DOLPHIN = "dolphin-mistral:latest"
    # OpenRouter models
    GEMINI_FLASH_1_5 = "google/gemini-flash-1.5"
    GROK_BETA = "x-ai/grok-beta"
    MISTRAL_NEMO = "mistralai/mistral-nemo"
    COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024"
    COHERE_COMMAND_R_PLUS_08_2024 = "cohere/command-r-plus-08-2024"
    EVA_QWEN_2_5_32B = "eva-unit-01/eva-qwen-2.5-32b"
    DEEPSEEK_CHAT = "deepseek/deepseek-chat"  # Actually: DeepSeek V3
    PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE = (
        "perplexity/llama-3.1-sonar-large-128k-online"
    )
    QWEN_QWQ_32B_PREVIEW = "qwen/qwq-32b-preview"
    NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B = "nousresearch/hermes-3-llama-3.1-405b"
    NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B = "nousresearch/hermes-3-llama-3.1-70b"
    AMAZON_NOVA_LITE_V1 = "amazon/nova-lite-v1"
    AMAZON_NOVA_MICRO_V1 = "amazon/nova-micro-v1"
    AMAZON_NOVA_PRO_V1 = "amazon/nova-pro-v1"
    MICROSOFT_WIZARDLM_2_8X22B = "microsoft/wizardlm-2-8x22b"
    GRYPHE_MYTHOMAX_L2_13B = "gryphe/mythomax-l2-13b"

    @property
    def metadata(self) -> ModelMetadata:
        return MODEL_METADATA[self]

    @property
    def provider(self) -> str:
        return self.metadata.provider

    @property