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feat(blocks): Add new openrouter models (#8905)

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**Summary:**
This PR removes the `GEMINI_FLASH_1_5_EXP` model (due to inference on
OpenRouter not working) and introduces several new models to the
`LlmModel` enum. Corresponding updates have been made to the metadata
configurations and block cost settings to reflect the changes.

**Key Changes:**
1. **Removed Models:**
   - `GEMINI_FLASH_1_5_EXP`

2. **Added New Models:**
   - `QWEN_QWQ_32B_PREVIEW`
   - `NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B`
   - `NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B`
   - `AMAZON_NOVA_LITE_V1`
   - `AMAZON_NOVA_MICRO_V1`
   - `AMAZON_NOVA_PRO_V1`
   - `MICROSOFT_WIZARDLM_2_8X22B`
   - `GRYPHE_MYTHOMAX_L2_13B`

3. **Metadata Updates:**
- Added metadata entries for the new models with a max output tokens of
4,000 tokens.

4. **Cost Configuration Updates:**
   - Defined block costs for the newly added models:
     - `QWEN_QWQ_32B_PREVIEW`: 2 credits
     - All other new models: 1 credit

**Testing:**
- Verified that all models can be called without errors with the AI Text
generator block
This commit is contained in:
Toran Bruce Richards
2024-12-09 11:49:15 +00:00
committed by GitHub
parent b62f411518
commit 1a85eb1dcf
2 changed files with 24 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
autogpt_platform/backend/backend/blocks/llm.py
View File

@@ -107,7 +107,6 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
OLLAMA_LLAMA3_405B = "llama3.1:405b"
# OpenRouter models
GEMINI_FLASH_1_5_8B = "google/gemini-flash-1.5"
GEMINI_FLASH_1_5_EXP = "google/gemini-flash-1.5-exp"
GROK_BETA = "x-ai/grok-beta"
MISTRAL_NEMO = "mistralai/mistral-nemo"
COHERE_COMMAND_R_08_2024 = "cohere/command-r-08-2024"
@@ -117,6 +116,14 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
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:
@@ -152,7 +159,6 @@ MODEL_METADATA = {
LlmModel.OLLAMA_LLAMA3_8B: ModelMetadata("ollama", 8192),
LlmModel.OLLAMA_LLAMA3_405B: ModelMetadata("ollama", 8192),
LlmModel.GEMINI_FLASH_1_5_8B: ModelMetadata("open_router", 8192),
LlmModel.GEMINI_FLASH_1_5_EXP: ModelMetadata("open_router", 8192),
LlmModel.GROK_BETA: ModelMetadata("open_router", 8192),
LlmModel.MISTRAL_NEMO: ModelMetadata("open_router", 4000),
LlmModel.COHERE_COMMAND_R_08_2024: ModelMetadata("open_router", 4000),
@@ -162,6 +168,14 @@ MODEL_METADATA = {
LlmModel.PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE: ModelMetadata(
"open_router", 8192
),
LlmModel.QWEN_QWQ_32B_PREVIEW: ModelMetadata("open_router", 4000),
LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: ModelMetadata("open_router", 4000),
LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B: ModelMetadata("open_router", 4000),
LlmModel.AMAZON_NOVA_LITE_V1: ModelMetadata("open_router", 4000),
LlmModel.AMAZON_NOVA_MICRO_V1: ModelMetadata("open_router", 4000),
LlmModel.AMAZON_NOVA_PRO_V1: ModelMetadata("open_router", 4000),
LlmModel.MICROSOFT_WIZARDLM_2_8X22B: ModelMetadata("open_router", 4000),
LlmModel.GRYPHE_MYTHOMAX_L2_13B: ModelMetadata("open_router", 4000),
}
for model in LlmModel:

9
autogpt_platform/backend/backend/data/block_cost_config.py
View File

@@ -54,7 +54,6 @@ MODEL_COST: dict[LlmModel, int] = {
LlmModel.OLLAMA_LLAMA3_8B: 1,
LlmModel.OLLAMA_LLAMA3_405B: 1,
LlmModel.GEMINI_FLASH_1_5_8B: 1,
LlmModel.GEMINI_FLASH_1_5_EXP: 1,
LlmModel.GROK_BETA: 5,
LlmModel.MISTRAL_NEMO: 1,
LlmModel.COHERE_COMMAND_R_08_2024: 1,
@@ -62,6 +61,14 @@ MODEL_COST: dict[LlmModel, int] = {
LlmModel.EVA_QWEN_2_5_32B: 1,
LlmModel.DEEPSEEK_CHAT: 2,
LlmModel.PERPLEXITY_LLAMA_3_1_SONAR_LARGE_128K_ONLINE: 1,
LlmModel.QWEN_QWQ_32B_PREVIEW: 2,
LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_405B: 1,
LlmModel.NOUSRESEARCH_HERMES_3_LLAMA_3_1_70B: 1,
LlmModel.AMAZON_NOVA_LITE_V1: 1,
LlmModel.AMAZON_NOVA_MICRO_V1: 1,
LlmModel.AMAZON_NOVA_PRO_V1: 1,
LlmModel.MICROSOFT_WIZARDLM_2_8X22B: 1,
LlmModel.GRYPHE_MYTHOMAX_L2_13B: 1,
}
for model in LlmModel: