mirror of
https://github.com/linux-do/new-api.git
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232 lines
7.9 KiB
Go
232 lines
7.9 KiB
Go
package common
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import (
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"encoding/json"
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"strings"
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)
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// modelRatio
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// https://platform.openai.com/docs/models/model-endpoint-compatibility
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// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
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// https://openai.com/pricing
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// TODO: when a new api is enabled, check the pricing here
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// 1 === $0.002 / 1K tokens
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// 1 === ￥0.014 / 1k tokens
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var DefaultModelRatio = map[string]float64{
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//"midjourney": 50,
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"gpt-4-gizmo-*": 15,
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"gpt-4": 15,
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"gpt-4-0314": 15,
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"gpt-4-0613": 15,
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"gpt-4-32k": 30,
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"gpt-4-32k-0314": 30,
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"gpt-4-32k-0613": 30,
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"gpt-4-1106-preview": 5, // $0.01 / 1K tokens
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"gpt-4-0125-preview": 5, // $0.01 / 1K tokens
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"gpt-4-turbo-preview": 5, // $0.01 / 1K tokens
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"gpt-4-vision-preview": 5, // $0.01 / 1K tokens
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"gpt-4-1106-vision-preview": 5, // $0.01 / 1K tokens
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"gpt-4-turbo": 5, // $0.01 / 1K tokens
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"gpt-3.5-turbo": 0.25, // $0.0015 / 1K tokens
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"gpt-3.5-turbo-0301": 0.75,
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"gpt-3.5-turbo-0613": 0.75,
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"gpt-3.5-turbo-16k": 1.5, // $0.003 / 1K tokens
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"gpt-3.5-turbo-16k-0613": 1.5,
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"gpt-3.5-turbo-instruct": 0.75, // $0.0015 / 1K tokens
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"gpt-3.5-turbo-1106": 0.5, // $0.001 / 1K tokens
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"gpt-3.5-turbo-0125": 0.25,
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"babbage-002": 0.2, // $0.0004 / 1K tokens
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"davinci-002": 1, // $0.002 / 1K tokens
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"text-ada-001": 0.2,
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"text-babbage-001": 0.25,
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"text-curie-001": 1,
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"text-davinci-002": 10,
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"text-davinci-003": 10,
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"text-davinci-edit-001": 10,
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"code-davinci-edit-001": 10,
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"whisper-1": 15, // $0.006 / minute -> $0.006 / 150 words -> $0.006 / 200 tokens -> $0.03 / 1k tokens
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"tts-1": 7.5, // 1k characters -> $0.015
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"tts-1-1106": 7.5, // 1k characters -> $0.015
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"tts-1-hd": 15, // 1k characters -> $0.03
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"tts-1-hd-1106": 15, // 1k characters -> $0.03
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"davinci": 10,
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"curie": 10,
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"babbage": 10,
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"ada": 10,
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"text-embedding-3-small": 0.01,
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"text-embedding-3-large": 0.065,
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"text-embedding-ada-002": 0.05,
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"text-search-ada-doc-001": 10,
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"text-moderation-stable": 0.1,
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"text-moderation-latest": 0.1,
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"dall-e-2": 8,
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"dall-e-3": 16,
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"claude-instant-1": 0.4, // $0.8 / 1M tokens
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"claude-2.0": 4, // $8 / 1M tokens
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"claude-2.1": 4, // $8 / 1M tokens
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"claude-3-haiku-20240307": 0.125, // $0.25 / 1M tokens
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"claude-3-sonnet-20240229": 1.5, // $3 / 1M tokens
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"claude-3-opus-20240229": 7.5, // $15 / 1M tokens
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"ERNIE-Bot": 0.8572, // ￥0.012 / 1k tokens
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"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens
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"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens
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"Embedding-V1": 0.1429, // ￥0.002 / 1k tokens
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"PaLM-2": 1,
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"gemini-pro": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
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"gemini-pro-vision": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
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"gemini-1.0-pro-vision-001": 1,
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"gemini-1.0-pro-001": 1,
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"gemini-1.5-pro-latest": 1,
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"gemini-1.0-pro-latest": 1,
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"gemini-1.0-pro-vision-latest": 1,
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"gemini-ultra": 1,
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"chatglm_turbo": 0.3572, // ￥0.005 / 1k tokens
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"chatglm_pro": 0.7143, // ￥0.01 / 1k tokens
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"chatglm_std": 0.3572, // ￥0.005 / 1k tokens
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"chatglm_lite": 0.1429, // ￥0.002 / 1k tokens
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"glm-4": 7.143, // ￥0.1 / 1k tokens
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"glm-4v": 7.143, // ￥0.1 / 1k tokens
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"glm-3-turbo": 0.3572,
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"qwen-turbo": 0.8572, // ￥0.012 / 1k tokens
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"qwen-plus": 10, // ￥0.14 / 1k tokens
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"text-embedding-v1": 0.05, // ￥0.0007 / 1k tokens
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"SparkDesk-v1.1": 1.2858, // ￥0.018 / 1k tokens
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"SparkDesk-v2.1": 1.2858, // ￥0.018 / 1k tokens
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"SparkDesk-v3.1": 1.2858, // ￥0.018 / 1k tokens
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"SparkDesk-v3.5": 1.2858, // ￥0.018 / 1k tokens
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"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
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"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
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"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
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"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
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"hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
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// https://platform.lingyiwanwu.com/docs#-计费单元
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// 已经按照 7.2 来换算美元价格
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"yi-34b-chat-0205": 0.018,
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"yi-34b-chat-200k": 0.0864,
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"yi-vl-plus": 0.0432,
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}
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var DefaultModelPrice = map[string]float64{
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"gpt-4-gizmo-*": 0.1,
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"mj_imagine": 0.1,
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"mj_variation": 0.1,
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"mj_reroll": 0.1,
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"mj_blend": 0.1,
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"mj_modal": 0.1,
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"mj_zoom": 0.1,
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"mj_shorten": 0.1,
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"mj_high_variation": 0.1,
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"mj_low_variation": 0.1,
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"mj_pan": 0.1,
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"mj_inpaint": 0,
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"mj_custom_zoom": 0,
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"mj_describe": 0.05,
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"mj_upscale": 0.05,
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"swap_face": 0.05,
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}
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var modelPrice map[string]float64 = nil
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var modelRatio map[string]float64 = nil
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func ModelPrice2JSONString() string {
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if modelPrice == nil {
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modelPrice = DefaultModelPrice
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}
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jsonBytes, err := json.Marshal(modelPrice)
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if err != nil {
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SysError("error marshalling model price: " + err.Error())
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}
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return string(jsonBytes)
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}
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func UpdateModelPriceByJSONString(jsonStr string) error {
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modelPrice = make(map[string]float64)
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return json.Unmarshal([]byte(jsonStr), &modelPrice)
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}
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func GetModelPrice(name string, printErr bool) float64 {
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if modelPrice == nil {
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modelPrice = DefaultModelPrice
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}
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if strings.HasPrefix(name, "gpt-4-gizmo") {
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name = "gpt-4-gizmo-*"
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}
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price, ok := modelPrice[name]
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if !ok {
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if printErr {
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SysError("model price not found: " + name)
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}
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return -1
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}
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return price
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}
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func ModelRatio2JSONString() string {
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if modelRatio == nil {
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modelRatio = DefaultModelRatio
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}
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jsonBytes, err := json.Marshal(modelRatio)
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if err != nil {
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SysError("error marshalling model ratio: " + err.Error())
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}
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return string(jsonBytes)
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}
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func UpdateModelRatioByJSONString(jsonStr string) error {
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modelRatio = make(map[string]float64)
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return json.Unmarshal([]byte(jsonStr), &modelRatio)
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}
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func GetModelRatio(name string) float64 {
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if modelRatio == nil {
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modelRatio = DefaultModelRatio
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}
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if strings.HasPrefix(name, "gpt-4-gizmo") {
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name = "gpt-4-gizmo-*"
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}
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ratio, ok := modelRatio[name]
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if !ok {
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SysError("model ratio not found: " + name)
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return 30
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}
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return ratio
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}
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func GetCompletionRatio(name string) float64 {
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if strings.HasPrefix(name, "gpt-3.5") {
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if name == "gpt-3.5-turbo" || strings.HasSuffix(name, "0125") {
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// https://openai.com/blog/new-embedding-models-and-api-updates
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// Updated GPT-3.5 Turbo model and lower pricing
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return 3
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}
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if strings.HasSuffix(name, "1106") {
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return 2
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}
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return 4.0 / 3.0
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}
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if strings.HasPrefix(name, "gpt-4") {
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if strings.HasPrefix(name, "gpt-4-turbo") || strings.HasSuffix(name, "preview") {
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return 3
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}
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return 2
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}
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if strings.Contains(name, "claude-instant-1") {
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return 3
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} else if strings.Contains(name, "claude-2") {
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return 3
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} else if strings.Contains(name, "claude-3") {
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return 5
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}
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if strings.HasPrefix(name, "mistral-") {
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return 3
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}
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if strings.HasPrefix(name, "gemini-") {
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return 3
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}
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switch name {
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case "llama2-70b-4096":
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return 0.8 / 0.7
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}
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return 1
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}
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