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models.ts
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import settings from "./settings.ts";
import {
Models,
ModelProviderName,
ModelClass,
ModelSettings,
ImageModelSettings,
} from "./types.ts";
export const models: Models = {
[ModelProviderName.OPENAI]: {
endpoint: settings.OPENAI_API_URL || "https://api.openai.com/v1",
model: {
[ModelClass.SMALL]: {
name: settings.SMALL_OPENAI_MODEL || "gpt-4o-mini",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name: settings.MEDIUM_OPENAI_MODEL || "gpt-4o",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name: settings.LARGE_OPENAI_MODEL || "gpt-4o",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.EMBEDDING]: {
name:
settings.EMBEDDING_OPENAI_MODEL || "text-embedding-3-small",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.IMAGE]: {
name: settings.IMAGE_OPENAI_MODEL || "dall-e-3",
},
},
},
[ModelProviderName.ETERNALAI]: {
endpoint: settings.ETERNALAI_URL,
model: {
[ModelClass.SMALL]: {
name:
settings.ETERNALAI_MODEL ||
"neuralmagic/Meta-Llama-3.1-405B-Instruct-quantized.w4a16",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name:
settings.ETERNALAI_MODEL ||
"neuralmagic/Meta-Llama-3.1-405B-Instruct-quantized.w4a16",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name:
settings.ETERNALAI_MODEL ||
"neuralmagic/Meta-Llama-3.1-405B-Instruct-quantized.w4a16",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
},
},
[ModelProviderName.ANTHROPIC]: {
endpoint: "https://api.anthropic.com/v1",
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_ANTHROPIC_MODEL || "claude-3-haiku-20240307",
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 4096,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_ANTHROPIC_MODEL ||
"claude-3-5-sonnet-20241022",
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 4096,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_ANTHROPIC_MODEL ||
"claude-3-5-sonnet-20241022",
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 4096,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.CLAUDE_VERTEX]: {
endpoint: "https://api.anthropic.com/v1", // TODO: check
model: {
[ModelClass.SMALL]: {
name: "claude-3-5-sonnet-20241022",
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name: "claude-3-5-sonnet-20241022",
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name: "claude-3-opus-20240229",
stop: [],
maxInputTokens: 200000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.GROK]: {
endpoint: "https://api.x.ai/v1",
model: {
[ModelClass.SMALL]: {
name: settings.SMALL_GROK_MODEL || "grok-2-1212",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name: settings.MEDIUM_GROK_MODEL || "grok-2-1212",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name: settings.LARGE_GROK_MODEL || "grok-2-1212",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: settings.EMBEDDING_GROK_MODEL || "grok-2-1212", // not sure about this one
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.GROQ]: {
endpoint: "https://api.groq.com/openai/v1",
model: {
[ModelClass.SMALL]: {
name: settings.SMALL_GROQ_MODEL || "llama-3.1-8b-instant",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8000,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name: settings.MEDIUM_GROQ_MODEL || "llama-3.3-70b-versatile",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8000,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_GROQ_MODEL || "llama-3.2-90b-vision-preview",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8000,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: settings.EMBEDDING_GROQ_MODEL || "llama-3.1-8b-instant",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8000,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.LLAMACLOUD]: {
endpoint: "https://api.llamacloud.com/v1",
model: {
[ModelClass.SMALL]: {
name: "meta-llama/Llama-3.2-3B-Instruct-Turbo",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name: "meta-llama-3.1-8b-instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name: "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: "togethercomputer/m2-bert-80M-32k-retrieval",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.IMAGE]: {
name: "black-forest-labs/FLUX.1-schnell",
steps: 4,
},
},
},
[ModelProviderName.TOGETHER]: {
endpoint: "https://api.together.ai/v1",
model: {
[ModelClass.SMALL]: {
name: "meta-llama/Llama-3.2-3B-Instruct-Turbo",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name: "meta-llama-3.1-8b-instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name: "meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: "togethercomputer/m2-bert-80M-32k-retrieval",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.IMAGE]: {
name: "black-forest-labs/FLUX.1-schnell",
steps: 4,
},
},
},
[ModelProviderName.LLAMALOCAL]: {
model: {
[ModelClass.SMALL]: {
name: "NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true",
stop: ["<|eot_id|>", "<|eom_id|>"],
maxInputTokens: 32768,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name: "NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true", // TODO: ?download=true
stop: ["<|eot_id|>", "<|eom_id|>"],
maxInputTokens: 32768,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name: "NousResearch/Hermes-3-Llama-3.1-8B-GGUF/resolve/main/Hermes-3-Llama-3.1-8B.Q8_0.gguf?download=true", // "RichardErkhov/NousResearch_-_Meta-Llama-3.1-70B-gguf", // TODO:
stop: ["<|eot_id|>", "<|eom_id|>"],
maxInputTokens: 32768,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: "togethercomputer/m2-bert-80M-32k-retrieval",
stop: ["<|eot_id|>", "<|eom_id|>"],
maxInputTokens: 32768,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.GOOGLE]: {
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_GOOGLE_MODEL ||
settings.GOOGLE_MODEL ||
"gemini-1.5-flash-latest",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_GOOGLE_MODEL ||
settings.GOOGLE_MODEL ||
"gemini-1.5-flash-latest",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_GOOGLE_MODEL ||
settings.GOOGLE_MODEL ||
"gemini-1.5-pro-latest",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name:
settings.EMBEDDING_GOOGLE_MODEL ||
settings.GOOGLE_MODEL ||
"text-embedding-004",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.REDPILL]: {
endpoint: "https://api.red-pill.ai/v1",
// Available models: https://docs.red-pill.ai/get-started/supported-models
// To test other models, change the models below
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_REDPILL_MODEL ||
settings.REDPILL_MODEL ||
"gpt-4o-mini",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_REDPILL_MODEL ||
settings.REDPILL_MODEL ||
"gpt-4o",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_REDPILL_MODEL ||
settings.REDPILL_MODEL ||
"gpt-4o",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.EMBEDDING]: {
name: "text-embedding-3-small",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
},
},
[ModelProviderName.OPENROUTER]: {
endpoint: "https://openrouter.ai/api/v1",
// Available models: https://openrouter.ai/models
// To test other models, change the models below
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_OPENROUTER_MODEL ||
settings.OPENROUTER_MODEL ||
"nousresearch/hermes-3-llama-3.1-405b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_OPENROUTER_MODEL ||
settings.OPENROUTER_MODEL ||
"nousresearch/hermes-3-llama-3.1-405b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_OPENROUTER_MODEL ||
settings.OPENROUTER_MODEL ||
"nousresearch/hermes-3-llama-3.1-405b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: "text-embedding-3-small",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.OLLAMA]: {
endpoint: settings.OLLAMA_SERVER_URL || "http://localhost:11434",
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_OLLAMA_MODEL ||
settings.OLLAMA_MODEL ||
"llama3.2",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_OLLAMA_MODEL ||
settings.OLLAMA_MODEL ||
"hermes3",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_OLLAMA_MODEL ||
settings.OLLAMA_MODEL ||
"hermes3:70b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: settings.OLLAMA_EMBEDDING_MODEL || "mxbai-embed-large",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.HEURIST]: {
endpoint: "https://llm-gateway.heurist.xyz",
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_HEURIST_MODEL ||
"meta-llama/llama-3-70b-instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_HEURIST_MODEL ||
"meta-llama/llama-3-70b-instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_HEURIST_MODEL ||
"meta-llama/llama-3.1-405b-instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.IMAGE]: {
name: settings.HEURIST_IMAGE_MODEL || "PepeXL",
steps: 20,
},
},
},
[ModelProviderName.GALADRIEL]: {
endpoint: "https://api.galadriel.com/v1",
model: {
[ModelClass.SMALL]: {
name: "llama3.1:70b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.5,
presence_penalty: 0.5,
temperature: 0.8,
},
[ModelClass.MEDIUM]: {
name: "llama3.1:70b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.5,
presence_penalty: 0.5,
temperature: 0.8,
},
[ModelClass.LARGE]: {
name: "llama3.1:405b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.5,
presence_penalty: 0.5,
temperature: 0.8,
},
[ModelClass.EMBEDDING]: {
name: "gte-large-en-v1.5",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.5,
presence_penalty: 0.5,
temperature: 0.8,
},
[ModelClass.IMAGE]: {
name: "stabilityai/stable-diffusion-xl-base-1.0",
},
},
},
[ModelProviderName.FAL]: {
endpoint: "https://api.fal.ai/v1",
model: {
[ModelClass.IMAGE]: { name: "fal-ai/flux-lora", steps: 28 },
},
},
[ModelProviderName.GAIANET]: {
endpoint: settings.GAIANET_SERVER_URL,
model: {
[ModelClass.SMALL]: {
name:
settings.GAIANET_MODEL ||
settings.SMALL_GAIANET_MODEL ||
"llama3b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.MEDIUM]: {
name:
settings.GAIANET_MODEL ||
settings.MEDIUM_GAIANET_MODEL ||
"llama",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.LARGE]: {
name:
settings.GAIANET_MODEL ||
settings.LARGE_GAIANET_MODEL ||
"qwen72b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
[ModelClass.EMBEDDING]: {
name: settings.GAIANET_EMBEDDING_MODEL || "nomic-embed",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
repetition_penalty: 0.4,
temperature: 0.7,
},
},
},
[ModelProviderName.ALI_BAILIAN]: {
endpoint: "https://dashscope.aliyuncs.com/compatible-mode/v1",
model: {
[ModelClass.SMALL]: {
name: "qwen-turbo",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name: "qwen-plus",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name: "qwen-max",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
[ModelClass.IMAGE]: {
name: "wanx-v1",
},
},
},
[ModelProviderName.VOLENGINE]: {
endpoint:
settings.VOLENGINE_API_URL ||
"https://open.volcengineapi.com/api/v3/",
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_VOLENGINE_MODEL ||
settings.VOLENGINE_MODEL ||
"doubao-lite-128k",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_VOLENGINE_MODEL ||
settings.VOLENGINE_MODEL ||
"doubao-pro-128k",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_VOLENGINE_MODEL ||
settings.VOLENGINE_MODEL ||
"doubao-pro-256k",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
[ModelClass.EMBEDDING]: {
name: settings.VOLENGINE_EMBEDDING_MODEL || "doubao-embedding",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.4,
presence_penalty: 0.4,
temperature: 0.6,
},
},
},
[ModelProviderName.NANOGPT]: {
endpoint: "https://nano-gpt.com/api/v1",
model: {
[ModelClass.SMALL]: {
name: settings.SMALL_NANOGPT_MODEL || "gpt-4o-mini",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name: settings.MEDIUM_NANOGPT_MODEL || "gpt-4o",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name: settings.LARGE_NANOGPT_MODEL || "gpt-4o",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
frequency_penalty: 0.0,
presence_penalty: 0.0,
temperature: 0.6,
},
},
},
[ModelProviderName.HYPERBOLIC]: {
endpoint: "https://api.hyperbolic.xyz/v1",
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_HYPERBOLIC_MODEL ||
settings.HYPERBOLIC_MODEL ||
"meta-llama/Llama-3.2-3B-Instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_HYPERBOLIC_MODEL ||
settings.HYPERBOLIC_MODEL ||
"meta-llama/Meta-Llama-3.1-70B-Instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_HYPERBOLIC_MODEL ||
settings.HYPERBOLIC_MODEL ||
"meta-llama/Meta-Llama-3.1-405-Instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.IMAGE]: {
name: settings.IMAGE_HYPERBOLIC_MODEL || "FLUX.1-dev",
},
},
},
[ModelProviderName.VENICE]: {
endpoint: "https://api.venice.ai/api/v1",
model: {
[ModelClass.SMALL]: {
name: settings.SMALL_VENICE_MODEL || "llama-3.3-70b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name: settings.MEDIUM_VENICE_MODEL || "llama-3.3-70b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name: settings.LARGE_VENICE_MODEL || "llama-3.1-405b",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.IMAGE]: {
name: settings.IMAGE_VENICE_MODEL || "fluently-xl",
},
},
},
[ModelProviderName.AKASH_CHAT_API]: {
endpoint: "https://chatapi.akash.network/api/v1",
model: {
[ModelClass.SMALL]: {
name:
settings.SMALL_AKASH_CHAT_API_MODEL ||
"Meta-Llama-3-2-3B-Instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.MEDIUM]: {
name:
settings.MEDIUM_AKASH_CHAT_API_MODEL ||
"Meta-Llama-3-3-70B-Instruct",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
[ModelClass.LARGE]: {
name:
settings.LARGE_AKASH_CHAT_API_MODEL ||
"Meta-Llama-3-1-405B-Instruct-FP8",
stop: [],
maxInputTokens: 128000,
maxOutputTokens: 8192,
temperature: 0.6,
},
},
},
[ModelProviderName.LIVEPEER]: {
// livepeer endpoint is handled from the sdk
model: {
[ModelClass.IMAGE]: {
name:
settings.LIVEPEER_IMAGE_MODEL || "ByteDance/SDXL-Lightning",
},
},
},
};
export function getModelSettings(
provider: ModelProviderName,
type: ModelClass
): ModelSettings | undefined {
return models[provider]?.model[type] as ModelSettings | undefined;
}
export function getImageModelSettings(
provider: ModelProviderName
): ImageModelSettings | undefined {
return models[provider]?.model[ModelClass.IMAGE] as
| ImageModelSettings
| undefined;
}
export function getEndpoint(provider: ModelProviderName) {
return models[provider].endpoint;
}