mirror of
https://github.com/linux-do/new-api.git
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合并上游、支持已有渠道获取模型
This commit is contained in:
bubu
commit
6aa1f2fcbe
@ -5,7 +5,7 @@ import (
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"strings"
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)
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//from songquanpeng/one-api
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// from songquanpeng/one-api
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const (
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USD2RMB = 7.3 // 暂定 1 USD = 7.3 RMB
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USD = 500 // $0.002 = 1 -> $1 = 500
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@ -40,86 +40,86 @@ var DefaultModelRatio = map[string]float64{
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"gpt-4-turbo-2024-04-09": 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, //deprecated
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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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"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 //renamed to ERNIE-3.5-8K
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"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens //renamed to ERNIE-Lite-8K
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"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens //renamed to ERNIE-4.0-8K
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"ERNIE-4.0-8K": 8.572, // ￥0.12 / 1k tokens
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"ERNIE-3.5-8K": 0.8572, // ￥0.012 / 1k tokens
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"ERNIE-Speed-8K": 0.2858, // ￥0.004 / 1k tokens
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"ERNIE-Speed-128K": 0.2858, // ￥0.004 / 1k tokens
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"ERNIE-Lite-8K": 0.2143, // ￥0.003 / 1k tokens
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"ERNIE-Tiny-8K": 0.0715, // ￥0.001 / 1k tokens
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"ERNIE-Character-8K": 0.2858, // ￥0.004 / 1k tokens
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"ERNIE-Functions-8K": 0.2858, // ￥0.004 / 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-1.5-flash-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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"360gpt-turbo": 0.0858, // ¥0.0012 / 1k tokens
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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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"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 //renamed to ERNIE-3.5-8K
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"ERNIE-Bot-turbo": 0.5715, // ￥0.008 / 1k tokens //renamed to ERNIE-Lite-8K
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"ERNIE-Bot-4": 8.572, // ￥0.12 / 1k tokens //renamed to ERNIE-4.0-8K
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"ERNIE-4.0-8K": 8.572, // ￥0.12 / 1k tokens
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"ERNIE-3.5-8K": 0.8572, // ￥0.012 / 1k tokens
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"ERNIE-Speed-8K": 0.2858, // ￥0.004 / 1k tokens
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"ERNIE-Speed-128K": 0.2858, // ￥0.004 / 1k tokens
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"ERNIE-Lite-8K": 0.2143, // ￥0.003 / 1k tokens
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"ERNIE-Tiny-8K": 0.0715, // ￥0.001 / 1k tokens
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"ERNIE-Character-8K": 0.2858, // ￥0.004 / 1k tokens
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"ERNIE-Functions-8K": 0.2858, // ￥0.004 / 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-1.5-flash-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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"360gpt-turbo": 0.0858, // ¥0.0012 / 1k tokens
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"360gpt-turbo-responsibility-8k": 0.8572, // ¥0.012 / 1k tokens
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"360gpt-pro": 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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"360gpt-pro": 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": 0.18,
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@ -143,10 +143,10 @@ var DefaultModelRatio = map[string]float64{
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"deepseek-chat": 0.07,
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"deepseek-coder": 0.07,
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// Perplexity online 模型对搜索额外收费，有需要应自行调整，此处不计入搜索费用
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"llama-3-sonar-small-32k-chat": 0.2 / 1000 * USD,
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"llama-3-sonar-small-32k-online": 0.2 / 1000 * USD,
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"llama-3-sonar-large-32k-chat": 1 / 1000 * USD,
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"llama-3-sonar-large-32k-online": 1 / 1000 * USD,
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"llama-3-sonar-small-32k-chat": 0.2 / 1000 * USD,
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"llama-3-sonar-small-32k-online": 0.2 / 1000 * USD,
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"llama-3-sonar-large-32k-chat": 1 / 1000 * USD,
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"llama-3-sonar-large-32k-online": 1 / 1000 * USD,
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}
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var DefaultModelPrice = map[string]float64{
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@ -289,7 +289,7 @@ func GetCompletionRatio(name string) float64 {
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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") && name != "gpt-4-all" && name != "gpt-4-gizmo-*" {
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if strings.HasPrefix(name, "gpt-4") && !strings.HasSuffix(name, "-all") && !strings.HasSuffix(name, "-gizmo-*") {
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if strings.HasPrefix(name, "gpt-4-turbo") || strings.HasSuffix(name, "preview") || strings.HasPrefix(name, "gpt-4o") {
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return 3
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}
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@ -41,10 +41,10 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
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return relaycommon.GetFullRequestURL(info.BaseUrl, requestURL, info.ChannelType), nil
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case common.ChannelTypeMiniMax:
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return minimax.GetRequestURL(info)
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//case common.ChannelTypeCustom:
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// url := info.BaseUrl
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// url = strings.Replace(url, "{model}", info.UpstreamModelName, -1)
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// return url, nil
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case common.ChannelTypeCustom:
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url := info.BaseUrl
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url = strings.Replace(url, "{model}", info.UpstreamModelName, -1)
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return url, nil
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default:
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return relaycommon.GetFullRequestURL(info.BaseUrl, info.RequestURLPath, info.ChannelType), nil
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}
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@ -310,12 +310,12 @@ const ChannelsTable = () => {
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const setChannelFormat = (channels) => {
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for (let i = 0; i < channels.length; i++) {
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if (channels[i].type === 8) {
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showWarning(
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'检测到您使用了“自定义渠道”类型，请更换为“OpenAI”渠道类型！',
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);
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showWarning('下个版本将不再支持“自定义渠道”类型！');
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}
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// if (channels[i].type === 8) {
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// showWarning(
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// '检测到您使用了“自定义渠道”类型，请更换为“OpenAI”渠道类型！',
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// );
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// showWarning('下个版本将不再支持“自定义渠道”类型！');
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// }
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channels[i].key = '' + channels[i].id;
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let test_models = [];
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channels[i].models.split(',').forEach((item, index) => {
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@ -302,6 +302,9 @@ const LogsTable = () => {
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let content = '渠道：' + record.channel;
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if (record.other !== '') {
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let other = JSON.parse(record.other);
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if (other === null) {
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return <></>
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}
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if (other.admin_info !== undefined) {
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if (
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other.admin_info.use_channel !== null &&
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@ -322,7 +325,8 @@ const LogsTable = () => {
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title: '详情',
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dataIndex: 'content',
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render: (text, record, index) => {
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if (record.other === '') {
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let other = JSON.parse(record.other);
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if (other == null) {
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return (
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<Paragraph
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ellipsis={{
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@ -338,7 +342,6 @@ const LogsTable = () => {
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</Paragraph>
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);
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}
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let other = JSON.parse(record.other);
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let content = renderModelPrice(
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record.prompt_tokens,
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record.completion_tokens,
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@ -146,11 +146,11 @@ const ModelPricing = () => {
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render: (text, record, index) => {
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let content = text;
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if (record.quota_type === 0) {
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let inputRatioPrice = record.model_ratio * 2.0 * record.group_ratio;
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// 这里的 *2 是因为 1倍率=0.002刀，请勿删除
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let inputRatioPrice = record.model_ratio * 2 * record.group_ratio;
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let completionRatioPrice =
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record.model_ratio *
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record.completion_ratio *
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2.0 *
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record.completion_ratio * 2 *
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record.group_ratio;
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content = (
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<>
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@ -149,8 +149,9 @@ export function renderModelPrice(
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if (completionRatio === undefined) {
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completionRatio = 0;
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}
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// 这里的 *2 是因为 1倍率=0.002刀，请勿删除
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let inputRatioPrice = modelRatio * 2.0 * groupRatio;
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let completionRatioPrice = modelRatio * completionRatio * 2.0 * groupRatio;
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let completionRatioPrice = modelRatio * 2.0 * completionRatio * groupRatio;
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let price =
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(inputTokens / 1000000) * inputRatioPrice +
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(completionTokens / 1000000) * completionRatioPrice;
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@ -37,8 +37,6 @@ const STATUS_CODE_MAPPING_EXAMPLE = {
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400: '500',
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};
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const fetchButtonTips = "1. 新建渠道时，请求通过当前浏览器发出；2. 编辑已有渠道，请求通过后端服务器发出"
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function type2secretPrompt(type) {
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// inputs.type === 15 ? '按照如下格式输入：APIKey|SecretKey' : (inputs.type === 18 ? '按照如下格式输入：APPID|APISecret|APIKey' : '请输入渠道对应的鉴权密钥')
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switch (type) {
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@ -90,55 +88,6 @@ const EditChannel = (props) => {
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const [basicModels, setBasicModels] = useState([]);
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const [fullModels, setFullModels] = useState([]);
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const [customModel, setCustomModel] = useState('');
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const fetchUpstreamModelList = async (name) => {
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if (inputs["type"] !== 1) {
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showError("仅支持 OpenAI 接口格式")
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return;
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}
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const models = inputs["models"] || []
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let err = false;
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if (isEdit) {
|
||||
const res = await API.get("/api/channel/fetch_models/" + channelId)
|
||||
if (res.data && res.data?.success) {
|
||||
models.push(...res.data.data)
|
||||
} else {
|
||||
err = true
|
||||
}
|
||||
} else {
|
||||
if (!inputs?.["key"]) {
|
||||
showError("请填写密钥")
|
||||
return;
|
||||
}
|
||||
try {
|
||||
const host = new URL((inputs["base_url"] || "https://api.openai.com"))
|
||||
|
||||
const url = `https://${host.hostname}/v1/models`;
|
||||
const key = inputs["key"];
|
||||
const res = await axios.get(url, {
|
||||
headers: {
|
||||
'Authorization': `Bearer ${key}`
|
||||
}
|
||||
})
|
||||
if (res.data && res.data?.success) {
|
||||
models.push(...es.data.data.map((model) => model.id))
|
||||
} else {
|
||||
err = true
|
||||
}
|
||||
}
|
||||
catch (error) {
|
||||
err = true
|
||||
}
|
||||
}
|
||||
if (!err) {
|
||||
handleInputChange(name, Array.from(new Set(models)));
|
||||
showSuccess("获取模型列表成功");
|
||||
} else {
|
||||
showError('获取模型列表失败');
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
const handleInputChange = (name, value) => {
|
||||
setInputs((inputs) => ({ ...inputs, [name]: value }));
|
||||
if (name === 'type') {
|
||||
@ -284,7 +233,7 @@ const EditChannel = (props) => {
|
||||
fetchModels().then();
|
||||
fetchGroups().then();
|
||||
if (isEdit) {
|
||||
loadChannel().then(() => { });
|
||||
loadChannel().then(() => {});
|
||||
} else {
|
||||
setInputs(originInputs);
|
||||
let localModels = getChannelModels(inputs.type);
|
||||
@ -354,17 +303,18 @@ const EditChannel = (props) => {
|
||||
const addCustomModels = () => {
|
||||
if (customModel.trim() === '') return;
|
||||
// 使用逗号分隔字符串，然后去除每个模型名称前后的空格
|
||||
const modelArray = customModel.split(',').map(model => model.trim());
|
||||
const modelArray = customModel.split(',').map((model) => model.trim());
|
||||
|
||||
let localModels = [...inputs.models];
|
||||
let localModelOptions = [...modelOptions];
|
||||
let hasError = false;
|
||||
|
||||
modelArray.forEach(model => {
|
||||
modelArray.forEach((model) => {
|
||||
// 检查模型是否已存在，且模型名称非空
|
||||
if (model && !localModels.includes(model)) {
|
||||
localModels.push(model); // 添加到模型列表
|
||||
localModelOptions.push({ // 添加到下拉选项
|
||||
localModelOptions.push({
|
||||
// 添加到下拉选项
|
||||
key: model,
|
||||
text: model,
|
||||
value: model,
|
||||
@ -486,11 +436,15 @@ const EditChannel = (props) => {
|
||||
{inputs.type === 8 && (
|
||||
<>
|
||||
<div style={{ marginTop: 10 }}>
|
||||
<Typography.Text strong>Base URL：</Typography.Text>
|
||||
<Typography.Text strong>
|
||||
完整的 Base URL，支持变量{'{model}'}：
|
||||
</Typography.Text>
|
||||
</div>
|
||||
<Input
|
||||
name='base_url'
|
||||
placeholder={'请输入自定义渠道的 Base URL'}
|
||||
placeholder={
|
||||
'请输入完整的URL，例如：https://api.openai.com/v1/chat/completions'
|
||||
}
|
||||
onChange={(value) => {
|
||||
handleInputChange('base_url', value);
|
||||
}}
|
||||
@ -723,7 +677,7 @@ const EditChannel = (props) => {
|
||||
onChange={() => {
|
||||
setAutoBan(!autoBan);
|
||||
}}
|
||||
// onChange={handleInputChange}
|
||||
// onChange={handleInputChange}
|
||||
/>
|
||||
<Typography.Text strong>
|
||||
是否自动禁用（仅当自动禁用开启时有效），关闭后不会自动禁用该渠道：
|
||||
|
||||
Loading…
Reference in New Issue
Block a user