mirror of
https://github.com/Wei-Shaw/sub2api.git
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新增 pricing.override_file 配置(默认关闭):稀疏补丁文件按 JSON 字段 浅合并覆盖目录/回退数据,作为最高优先级数据源,用于本地自定义官方 目录条目(如显式 long_context_input_token_threshold=0 关闭某模型阶梯) 而无需自建价格镜像: - applyPricingOverrides 挂在 parsePricingData 解析入口,只修补已存在 条目(补丁字段覆盖同名字段,值为 null 删除字段);目录、回退与灾备 路径都经该入口,覆盖语义三处一致 - mergeOverrideOnlyModels 在回退合并后把目录/回退都没有的模型作为 独立条目并入(复用主解析路径,须自带价格字段通过有效性过滤); 不在主解析时抢先建条目,避免纯补丁挡住回退完整条目、其余分项价 静默变 0 - 最终未生效的条目(模型名拼错、纯补丁落在不存在的模型上)打 WARN 哨兵;override 文件缺失/损坏仅跳过合并,不影响目录加载 - 生效时机为重启或下次目录下载,与 fallback_file 一致;fallback_file 只补缺失模型的语义不变
1366 lines
48 KiB
Go
1366 lines
48 KiB
Go
package service
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import (
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"bytes"
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"context"
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"crypto/sha256"
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"encoding/hex"
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"encoding/json"
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"fmt"
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"maps"
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"os"
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"path/filepath"
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"regexp"
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"sort"
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"strconv"
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"strings"
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"sync"
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"time"
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"github.com/Wei-Shaw/sub2api/internal/config"
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"github.com/Wei-Shaw/sub2api/internal/pkg/logger"
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"github.com/Wei-Shaw/sub2api/internal/pkg/openai"
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"github.com/Wei-Shaw/sub2api/internal/util/urlvalidator"
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"go.uber.org/zap"
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)
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var (
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openAIModelDatePattern = regexp.MustCompile(`-\d{8}$`)
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openAIModelBasePattern = regexp.MustCompile(`^(gpt-\d+(?:\.\d+)?)(?:-|$)`)
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// aboveTierPricePattern 匹配 LiteLLM 长上下文绝对价字段名
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// (input_cost_per_token_above_272k_tokens / output_cost_per_token_above_200k_tokens 等)。
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// 带 _flex/_priority 服务档后缀的变体与 cache 侧字段不参与阈值/倍率折算。
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aboveTierPricePattern = regexp.MustCompile(`^(input|output)_cost_per_token_above_(\d+)k_tokens$`)
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openAIGPT54FallbackPricing = &LiteLLMModelPricing{
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InputCostPerToken: 2.5e-06, // $2.5 per MTok
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OutputCostPerToken: 1.5e-05, // $15 per MTok
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CacheReadInputTokenCost: 2.5e-07, // $0.25 per MTok
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LiteLLMProvider: "openai",
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Mode: "chat",
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SupportsPromptCaching: true,
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}
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openAIGPT56SolFallbackPricing = &LiteLLMModelPricing{
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InputCostPerToken: 5e-06,
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InputCostPerTokenPriority: 1e-05,
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OutputCostPerToken: 3e-05,
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OutputCostPerTokenPriority: 6e-05,
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CacheCreationInputTokenCost: 6.25e-06,
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CacheCreationInputTokenCostPriority: 1.25e-05,
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CacheReadInputTokenCost: 5e-07,
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CacheReadInputTokenCostPriority: 1e-06,
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SupportsServiceTier: true,
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LiteLLMProvider: "openai",
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Mode: "chat",
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SupportsPromptCaching: true,
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}
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openAIGPT56TerraFallbackPricing = &LiteLLMModelPricing{
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InputCostPerToken: 2e-06,
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InputCostPerTokenPriority: 4e-06,
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OutputCostPerToken: 1.2e-05,
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OutputCostPerTokenPriority: 2.4e-05,
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CacheCreationInputTokenCost: 2.5e-06,
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CacheCreationInputTokenCostPriority: 5e-06,
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CacheReadInputTokenCost: 2e-07,
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CacheReadInputTokenCostPriority: 4e-07,
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SupportsServiceTier: true,
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LiteLLMProvider: "openai",
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Mode: "chat",
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SupportsPromptCaching: true,
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}
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openAIGPT56LunaFallbackPricing = &LiteLLMModelPricing{
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InputCostPerToken: 2e-07,
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InputCostPerTokenPriority: 4e-07,
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OutputCostPerToken: 1.2e-06,
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OutputCostPerTokenPriority: 2.4e-06,
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CacheCreationInputTokenCost: 2.5e-07,
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CacheCreationInputTokenCostPriority: 5e-07,
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CacheReadInputTokenCost: 2e-08,
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CacheReadInputTokenCostPriority: 4e-08,
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SupportsServiceTier: true,
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LiteLLMProvider: "openai",
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Mode: "chat",
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SupportsPromptCaching: true,
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}
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openAIGPT54MiniFallbackPricing = &LiteLLMModelPricing{
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InputCostPerToken: 7.5e-07,
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OutputCostPerToken: 4.5e-06,
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CacheReadInputTokenCost: 7.5e-08,
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LiteLLMProvider: "openai",
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Mode: "chat",
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SupportsPromptCaching: true,
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}
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openAIGPT54NanoFallbackPricing = &LiteLLMModelPricing{
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InputCostPerToken: 2e-07,
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OutputCostPerToken: 1.25e-06,
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CacheReadInputTokenCost: 2e-08,
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LiteLLMProvider: "openai",
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Mode: "chat",
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SupportsPromptCaching: true,
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}
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)
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// LiteLLMModelPricing LiteLLM价格数据结构
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// 只保留我们需要的字段,使用指针来处理可能缺失的值
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type LiteLLMModelPricing struct {
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InputCostPerToken float64 `json:"input_cost_per_token"`
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InputCostPerTokenPriority float64 `json:"input_cost_per_token_priority"`
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OutputCostPerToken float64 `json:"output_cost_per_token"`
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OutputCostPerTokenPriority float64 `json:"output_cost_per_token_priority"`
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CacheCreationInputTokenCost float64 `json:"cache_creation_input_token_cost"`
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CacheCreationInputTokenCostPriority float64 `json:"cache_creation_input_token_cost_priority"`
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CacheCreationInputTokenCostAbove1hr float64 `json:"cache_creation_input_token_cost_above_1hr"`
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CacheReadInputTokenCost float64 `json:"cache_read_input_token_cost"`
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CacheReadInputTokenCostPriority float64 `json:"cache_read_input_token_cost_priority"`
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LongContextInputTokenThreshold int `json:"long_context_input_token_threshold,omitempty"`
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LongContextInputCostMultiplier float64 `json:"long_context_input_cost_multiplier,omitempty"`
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LongContextOutputCostMultiplier float64 `json:"long_context_output_cost_multiplier,omitempty"`
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SupportsServiceTier bool `json:"supports_service_tier"`
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LiteLLMProvider string `json:"litellm_provider"`
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Mode string `json:"mode"`
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SupportsPromptCaching bool `json:"supports_prompt_caching"`
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OutputCostPerImage float64 `json:"output_cost_per_image"` // 图片生成模型每张图片价格
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OutputCostPerImageToken float64 `json:"output_cost_per_image_token"` // 图片输出 token 价格
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InputCostPerImageToken float64 `json:"input_cost_per_image_token"` // 图片输入 token 价格(如 gpt-image-2 图片编辑)
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// TokenPricingAbsent 表示源数据中 input/output token 价格均缺失(仅有图片价)。
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// 此类条目只可用于图片计费,token 计费必须回退到 fallback 或 fail-closed,
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// 否则 token 流量会被按 $0 计费。零值(false)表示条目具备 token 价格。
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TokenPricingAbsent bool `json:"-"`
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}
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// PricingRemoteClient 远程价格数据获取接口
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type PricingRemoteClient interface {
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FetchPricingJSON(ctx context.Context, url string) ([]byte, error)
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FetchHashText(ctx context.Context, url string) (string, error)
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}
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// LiteLLMRawEntry 用于解析原始JSON数据
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type LiteLLMRawEntry struct {
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InputCostPerToken *float64 `json:"input_cost_per_token"`
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InputCostPerTokenPriority *float64 `json:"input_cost_per_token_priority"`
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OutputCostPerToken *float64 `json:"output_cost_per_token"`
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OutputCostPerTokenPriority *float64 `json:"output_cost_per_token_priority"`
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CacheCreationInputTokenCost *float64 `json:"cache_creation_input_token_cost"`
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CacheCreationInputTokenCostPriority *float64 `json:"cache_creation_input_token_cost_priority"`
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CacheCreationInputTokenCostAbove1hr *float64 `json:"cache_creation_input_token_cost_above_1hr"`
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CacheReadInputTokenCost *float64 `json:"cache_read_input_token_cost"`
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CacheReadInputTokenCostPriority *float64 `json:"cache_read_input_token_cost_priority"`
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LongContextInputTokenThreshold *int `json:"long_context_input_token_threshold"`
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LongContextInputCostMultiplier *float64 `json:"long_context_input_cost_multiplier"`
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LongContextOutputCostMultiplier *float64 `json:"long_context_output_cost_multiplier"`
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SupportsServiceTier bool `json:"supports_service_tier"`
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LiteLLMProvider string `json:"litellm_provider"`
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Mode string `json:"mode"`
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SupportsPromptCaching bool `json:"supports_prompt_caching"`
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OutputCostPerImage *float64 `json:"output_cost_per_image"`
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OutputCostPerImageToken *float64 `json:"output_cost_per_image_token"`
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InputCostPerImageToken *float64 `json:"input_cost_per_image_token"`
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}
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// PricingService 动态价格服务
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type PricingService struct {
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cfg *config.Config
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remoteClient PricingRemoteClient
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mu sync.RWMutex
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pricingData map[string]*LiteLLMModelPricing
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lastUpdated time.Time
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localHash string
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// 停止信号
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stopCh chan struct{}
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wg sync.WaitGroup
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}
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// NewPricingService 创建价格服务
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func NewPricingService(cfg *config.Config, remoteClient PricingRemoteClient) *PricingService {
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s := &PricingService{
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cfg: cfg,
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remoteClient: remoteClient,
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pricingData: make(map[string]*LiteLLMModelPricing),
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stopCh: make(chan struct{}),
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}
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return s
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}
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// Initialize 初始化价格服务
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func (s *PricingService) Initialize() error {
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// 确保数据目录存在
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if err := os.MkdirAll(s.cfg.Pricing.DataDir, 0755); err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Failed to create data directory: %v", err)
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}
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// 首次加载价格数据
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if err := s.checkAndUpdatePricing(); err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Initial load failed, using fallback: %v", err)
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if err := s.useFallbackPricing(); err != nil {
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return fmt.Errorf("failed to load pricing data: %w", err)
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}
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}
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// 启动定时更新
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s.startUpdateScheduler()
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logger.LegacyPrintf("service.pricing", "[Pricing] Service initialized with %d models", len(s.pricingData))
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return nil
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}
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// Stop 停止价格服务
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func (s *PricingService) Stop() {
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close(s.stopCh)
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s.wg.Wait()
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logger.LegacyPrintf("service.pricing", "%s", "[Pricing] Service stopped")
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}
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// startUpdateScheduler 启动定时更新调度器
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func (s *PricingService) startUpdateScheduler() {
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if s == nil || s.cfg == nil || strings.TrimSpace(s.cfg.Pricing.RemoteURL) == "" {
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logger.LegacyPrintf("service.pricing", "%s", "[Pricing] Remote sync disabled: pricing remote URL is empty")
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return
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}
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// 定期检查哈希更新
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hashInterval := time.Duration(s.cfg.Pricing.HashCheckIntervalMinutes) * time.Minute
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if hashInterval < time.Minute {
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hashInterval = 10 * time.Minute
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}
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s.wg.Add(1)
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go func() {
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defer s.wg.Done()
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ticker := time.NewTicker(hashInterval)
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defer ticker.Stop()
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for {
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select {
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case <-ticker.C:
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if err := s.syncWithRemote(); err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Sync failed: %v", err)
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}
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case <-s.stopCh:
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return
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}
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}
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}()
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logger.LegacyPrintf("service.pricing", "[Pricing] Update scheduler started (check every %v)", hashInterval)
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}
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// checkAndUpdatePricing 检查并更新价格数据
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func (s *PricingService) checkAndUpdatePricing() error {
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pricingFile := s.getPricingFilePath()
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// 检查本地文件是否存在
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if _, err := os.Stat(pricingFile); os.IsNotExist(err) {
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logger.LegacyPrintf("service.pricing", "%s", "[Pricing] Local pricing file not found, downloading...")
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return s.downloadPricingData()
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}
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// 先加载本地文件(确保服务可用),再检查是否需要更新
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if err := s.loadPricingData(pricingFile); err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Failed to load local file, downloading: %v", err)
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return s.downloadPricingData()
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}
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// 如果配置了哈希URL,通过远程哈希检查是否有更新
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if s.cfg.Pricing.HashURL != "" {
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remoteHash, err := s.fetchRemoteHash()
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if err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Failed to fetch remote hash on startup: %v", err)
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return nil // 已加载本地文件,哈希获取失败不影响启动
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}
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s.mu.RLock()
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localHash := s.localHash
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s.mu.RUnlock()
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if localHash == "" || remoteHash != localHash {
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logger.LegacyPrintf("service.pricing", "[Pricing] Remote hash differs on startup (local=%s remote=%s), downloading...",
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localHash[:min(8, len(localHash))], remoteHash[:min(8, len(remoteHash))])
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if err := s.downloadPricingData(); err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Download failed, using existing file: %v", err)
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}
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}
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return nil
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}
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// 没有哈希URL时,基于文件年龄检查
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info, err := os.Stat(pricingFile)
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if err != nil {
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return nil // 已加载本地文件
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}
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fileAge := time.Since(info.ModTime())
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maxAge := time.Duration(s.cfg.Pricing.UpdateIntervalHours) * time.Hour
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if fileAge > maxAge {
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logger.LegacyPrintf("service.pricing", "[Pricing] Local file is %v old, updating...", fileAge.Round(time.Hour))
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if err := s.downloadPricingData(); err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Download failed, using existing file: %v", err)
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}
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}
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return nil
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}
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// syncWithRemote 与远程同步(基于哈希校验)
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func (s *PricingService) syncWithRemote() error {
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// 如果配置了哈希URL,从远程获取哈希进行比对
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if s.cfg.Pricing.HashURL != "" {
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remoteHash, err := s.fetchRemoteHash()
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if err != nil {
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logger.LegacyPrintf("service.pricing", "[Pricing] Failed to fetch remote hash: %v", err)
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return nil // 哈希获取失败不影响正常使用
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}
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s.mu.RLock()
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localHash := s.localHash
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s.mu.RUnlock()
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if localHash == "" || remoteHash != localHash {
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logger.LegacyPrintf("service.pricing", "[Pricing] Remote hash differs (local=%s remote=%s), downloading new version...",
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localHash[:min(8, len(localHash))], remoteHash[:min(8, len(remoteHash))])
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return s.downloadPricingData()
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}
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logger.LegacyPrintf("service.pricing", "%s", "[Pricing] Hash check passed, no update needed")
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return nil
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}
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// 没有哈希URL时,基于时间检查
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pricingFile := s.getPricingFilePath()
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info, err := os.Stat(pricingFile)
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if err != nil {
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return s.downloadPricingData()
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}
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fileAge := time.Since(info.ModTime())
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maxAge := time.Duration(s.cfg.Pricing.UpdateIntervalHours) * time.Hour
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if fileAge > maxAge {
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logger.LegacyPrintf("service.pricing", "[Pricing] File is %v old, downloading...", fileAge.Round(time.Hour))
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return s.downloadPricingData()
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}
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return nil
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}
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// downloadPricingData 从远程下载价格数据
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func (s *PricingService) downloadPricingData() error {
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remoteURL, err := s.validatePricingURL(s.cfg.Pricing.RemoteURL)
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if err != nil {
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return err
|
||
}
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logger.LegacyPrintf("service.pricing", "[Pricing] Downloading from %s", remoteURL)
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||
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ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
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defer cancel()
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// 获取远程哈希(用于同步锚点,不作为完整性校验)
|
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var remoteHash string
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if strings.TrimSpace(s.cfg.Pricing.HashURL) != "" {
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remoteHash, err = s.fetchRemoteHash()
|
||
if err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Failed to fetch remote hash (continuing): %v", err)
|
||
}
|
||
}
|
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|
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body, err := s.remoteClient.FetchPricingJSON(ctx, remoteURL)
|
||
if err != nil {
|
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return fmt.Errorf("download failed: %w", err)
|
||
}
|
||
|
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// 哈希校验:不匹配时仅告警,不阻止更新
|
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// 远程哈希文件可能与数据文件不同步(如维护者更新了数据但未更新哈希文件)
|
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dataHash := sha256.Sum256(body)
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||
dataHashStr := hex.EncodeToString(dataHash[:])
|
||
if remoteHash != "" && !strings.EqualFold(remoteHash, dataHashStr) {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Hash mismatch warning: remote=%s data=%s (hash file may be out of sync)",
|
||
remoteHash[:min(8, len(remoteHash))], dataHashStr[:8])
|
||
}
|
||
|
||
// 解析JSON数据(使用灵活的解析方式)
|
||
data, err := s.parsePricingData(body)
|
||
if err != nil {
|
||
return fmt.Errorf("parse pricing data: %w", err)
|
||
}
|
||
data = s.mergeFallbackPricingData(data)
|
||
data = s.mergeOverrideOnlyModels(data)
|
||
|
||
// 保存到本地文件
|
||
pricingFile := s.getPricingFilePath()
|
||
if err := os.WriteFile(pricingFile, body, 0644); err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Failed to save file: %v", err)
|
||
}
|
||
|
||
// 使用远程哈希作为同步锚点,防止重复下载
|
||
// 当远程哈希不可用时,回退到数据本身的哈希
|
||
syncHash := dataHashStr
|
||
if remoteHash != "" {
|
||
syncHash = remoteHash
|
||
}
|
||
hashFile := s.getHashFilePath()
|
||
if err := os.WriteFile(hashFile, []byte(syncHash+"\n"), 0644); err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Failed to save hash: %v", err)
|
||
}
|
||
|
||
// 更新内存数据
|
||
s.mu.Lock()
|
||
warnDroppedLongContextLadders(s.pricingData, data)
|
||
s.pricingData = data
|
||
s.lastUpdated = time.Now()
|
||
s.localHash = syncHash
|
||
s.mu.Unlock()
|
||
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Downloaded %d models successfully", len(data))
|
||
return nil
|
||
}
|
||
|
||
// parsePricingData 解析价格数据(处理各种格式)
|
||
func (s *PricingService) parsePricingData(body []byte) (map[string]*LiteLLMModelPricing, error) {
|
||
// 首先解析为 map[string]json.RawMessage
|
||
var rawData map[string]json.RawMessage
|
||
if err := json.Unmarshal(body, &rawData); err != nil {
|
||
return nil, fmt.Errorf("parse raw JSON: %w", err)
|
||
}
|
||
rawData = s.applyPricingOverrides(rawData)
|
||
|
||
result := make(map[string]*LiteLLMModelPricing)
|
||
skipped := 0
|
||
|
||
for modelName, rawEntry := range rawData {
|
||
// 跳过 sample_spec 等文档条目
|
||
if modelName == "sample_spec" {
|
||
continue
|
||
}
|
||
|
||
// 尝试解析每个条目
|
||
var entry LiteLLMRawEntry
|
||
if err := json.Unmarshal(rawEntry, &entry); err != nil {
|
||
skipped++
|
||
continue
|
||
}
|
||
|
||
// 只保留有有效价格的条目
|
||
if entry.InputCostPerToken == nil && entry.OutputCostPerToken == nil && entry.OutputCostPerImage == nil && entry.OutputCostPerImageToken == nil && entry.InputCostPerImageToken == nil {
|
||
continue
|
||
}
|
||
|
||
pricing := &LiteLLMModelPricing{
|
||
LiteLLMProvider: entry.LiteLLMProvider,
|
||
Mode: entry.Mode,
|
||
SupportsPromptCaching: entry.SupportsPromptCaching,
|
||
SupportsServiceTier: entry.SupportsServiceTier,
|
||
TokenPricingAbsent: entry.InputCostPerToken == nil && entry.OutputCostPerToken == nil,
|
||
}
|
||
|
||
if entry.InputCostPerToken != nil {
|
||
pricing.InputCostPerToken = *entry.InputCostPerToken
|
||
}
|
||
if entry.InputCostPerTokenPriority != nil {
|
||
pricing.InputCostPerTokenPriority = *entry.InputCostPerTokenPriority
|
||
}
|
||
if entry.OutputCostPerToken != nil {
|
||
pricing.OutputCostPerToken = *entry.OutputCostPerToken
|
||
}
|
||
if entry.OutputCostPerTokenPriority != nil {
|
||
pricing.OutputCostPerTokenPriority = *entry.OutputCostPerTokenPriority
|
||
}
|
||
if entry.CacheCreationInputTokenCost != nil {
|
||
pricing.CacheCreationInputTokenCost = *entry.CacheCreationInputTokenCost
|
||
}
|
||
if entry.CacheCreationInputTokenCostPriority != nil {
|
||
pricing.CacheCreationInputTokenCostPriority = *entry.CacheCreationInputTokenCostPriority
|
||
}
|
||
if entry.CacheCreationInputTokenCostAbove1hr != nil {
|
||
pricing.CacheCreationInputTokenCostAbove1hr = *entry.CacheCreationInputTokenCostAbove1hr
|
||
}
|
||
if entry.CacheReadInputTokenCost != nil {
|
||
pricing.CacheReadInputTokenCost = *entry.CacheReadInputTokenCost
|
||
}
|
||
if entry.CacheReadInputTokenCostPriority != nil {
|
||
pricing.CacheReadInputTokenCostPriority = *entry.CacheReadInputTokenCostPriority
|
||
}
|
||
if entry.LongContextInputTokenThreshold != nil {
|
||
pricing.LongContextInputTokenThreshold = *entry.LongContextInputTokenThreshold
|
||
}
|
||
if entry.LongContextInputCostMultiplier != nil {
|
||
pricing.LongContextInputCostMultiplier = *entry.LongContextInputCostMultiplier
|
||
}
|
||
if entry.LongContextOutputCostMultiplier != nil {
|
||
pricing.LongContextOutputCostMultiplier = *entry.LongContextOutputCostMultiplier
|
||
}
|
||
if entry.OutputCostPerImage != nil {
|
||
pricing.OutputCostPerImage = *entry.OutputCostPerImage
|
||
}
|
||
if entry.OutputCostPerImageToken != nil {
|
||
pricing.OutputCostPerImageToken = *entry.OutputCostPerImageToken
|
||
}
|
||
if entry.InputCostPerImageToken != nil {
|
||
pricing.InputCostPerImageToken = *entry.InputCostPerImageToken
|
||
}
|
||
|
||
hasExplicitLongContext := entry.LongContextInputTokenThreshold != nil ||
|
||
entry.LongContextInputCostMultiplier != nil ||
|
||
entry.LongContextOutputCostMultiplier != nil
|
||
if !hasExplicitLongContext {
|
||
deriveLongContextFromAboveTierFields(rawEntry, pricing)
|
||
}
|
||
|
||
result[modelName] = pricing
|
||
}
|
||
|
||
if skipped > 0 {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Skipped %d invalid entries", skipped)
|
||
}
|
||
|
||
if len(result) == 0 {
|
||
return nil, fmt.Errorf("no valid pricing entries found")
|
||
}
|
||
|
||
return result, nil
|
||
}
|
||
|
||
// deriveLongContextFromAboveTierFields 把 LiteLLM 目录的 *_above_XXXk_tokens 绝对价字段
|
||
// 折算成 long_context_* 阈值+倍率(sub2api 计费机制的内部表达):阈值取自字段名,
|
||
// 倍率 = above 价 ÷ 基础价。条目显式携带任一 long_context_* 字段(含显式 0)时由
|
||
// 调用方跳过折算,以显式配置为准——显式写 threshold=0 或 multiplier=1 均可关闭该
|
||
// 模型的阶梯。多个阈值并存时取最小阈值。
|
||
// cache_read/cache_creation 的 above 档在计费中统一跟随输入倍率,不单独折算;
|
||
// 现网 OpenAI/Claude 条目(含 5m/1h 分档)的 cache above 档均恰为基础价 × 输入倍率,
|
||
// Gemini pro 系存在无基础价的孤儿 cache_creation above 字段(数据缺陷,计费两侧均按 0)。
|
||
func deriveLongContextFromAboveTierFields(rawEntry json.RawMessage, pricing *LiteLLMModelPricing) {
|
||
if pricing == nil ||
|
||
pricing.LongContextInputTokenThreshold > 0 ||
|
||
pricing.LongContextInputCostMultiplier > 0 ||
|
||
pricing.LongContextOutputCostMultiplier > 0 {
|
||
return
|
||
}
|
||
if !bytes.Contains(rawEntry, []byte("_above_")) {
|
||
return
|
||
}
|
||
var fields map[string]any
|
||
if err := json.Unmarshal(rawEntry, &fields); err != nil {
|
||
return
|
||
}
|
||
type tierPrices struct{ input, output float64 }
|
||
tiers := make(map[int]*tierPrices)
|
||
for key, value := range fields {
|
||
m := aboveTierPricePattern.FindStringSubmatch(key)
|
||
if m == nil {
|
||
continue
|
||
}
|
||
price, ok := value.(float64)
|
||
if !ok || price <= 0 {
|
||
continue
|
||
}
|
||
thousands, err := strconv.Atoi(m[2])
|
||
if err != nil || thousands <= 0 {
|
||
continue
|
||
}
|
||
threshold := thousands * 1000
|
||
tp := tiers[threshold]
|
||
if tp == nil {
|
||
tp = &tierPrices{}
|
||
tiers[threshold] = tp
|
||
}
|
||
if m[1] == "input" {
|
||
tp.input = price
|
||
} else {
|
||
tp.output = price
|
||
}
|
||
}
|
||
if len(tiers) == 0 {
|
||
return
|
||
}
|
||
threshold := 0
|
||
for t := range tiers {
|
||
if threshold == 0 || t < threshold {
|
||
threshold = t
|
||
}
|
||
}
|
||
tp := tiers[threshold]
|
||
inputMultiplier, outputMultiplier := 1.0, 1.0
|
||
if tp.input > 0 && pricing.InputCostPerToken > 0 {
|
||
inputMultiplier = tp.input / pricing.InputCostPerToken
|
||
}
|
||
if tp.output > 0 && pricing.OutputCostPerToken > 0 {
|
||
outputMultiplier = tp.output / pricing.OutputCostPerToken
|
||
}
|
||
// above 价不高于基础价时视为无附加费,不生成阶梯。
|
||
if inputMultiplier <= 1 && outputMultiplier <= 1 {
|
||
return
|
||
}
|
||
pricing.LongContextInputTokenThreshold = threshold
|
||
pricing.LongContextInputCostMultiplier = inputMultiplier
|
||
pricing.LongContextOutputCostMultiplier = outputMultiplier
|
||
}
|
||
|
||
// applyPricingOverrides 把 override 文件的条目逐字段修补进原始目录数据。目录与回退
|
||
// 文件的解析都经过 parsePricingData,因此 override 是最高优先级的数据源。这里只修补
|
||
// 已存在的条目:目录/回退里都没有的模型由 mergeOverrideOnlyModels 在两层数据合并后
|
||
// 统一并入——若在此处抢先建条目,纯 override 条目会挡住回退文件中同名完整条目的合并。
|
||
func (s *PricingService) applyPricingOverrides(rawData map[string]json.RawMessage) map[string]json.RawMessage {
|
||
overrides := s.loadPricingOverrideEntries()
|
||
if len(overrides) == 0 {
|
||
return rawData
|
||
}
|
||
for name, patch := range overrides {
|
||
base, ok := rawData[name]
|
||
if !ok {
|
||
continue
|
||
}
|
||
merged, valid := mergePricingOverrideEntry(base, patch)
|
||
if !valid {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Warning: override entry %q skipped: not a JSON object", name)
|
||
continue
|
||
}
|
||
rawData[name] = merged
|
||
}
|
||
return rawData
|
||
}
|
||
|
||
// loadPricingOverrideEntries 读取 override 文件的原始条目。未配置返回 nil;
|
||
// 读取或解析失败打日志并跳过,不影响目录加载。
|
||
func (s *PricingService) loadPricingOverrideEntries() map[string]json.RawMessage {
|
||
if s == nil || s.cfg == nil {
|
||
return nil
|
||
}
|
||
path := strings.TrimSpace(s.cfg.Pricing.OverrideFile)
|
||
if path == "" {
|
||
return nil
|
||
}
|
||
body, err := os.ReadFile(path)
|
||
if err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Warning: override merge skipped: %v", err)
|
||
return nil
|
||
}
|
||
var entries map[string]json.RawMessage
|
||
if err := json.Unmarshal(body, &entries); err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Warning: override merge skipped: %v", err)
|
||
return nil
|
||
}
|
||
return entries
|
||
}
|
||
|
||
// mergePricingOverrideEntry 在 JSON 字段层浅合并:patch 字段覆盖 base 同名字段,
|
||
// 值为 null 的 patch 字段从结果中删除,base 为空时结果即 patch 本身。
|
||
// patch 不是 JSON 对象时返回 ok=false。
|
||
func mergePricingOverrideEntry(base, patch json.RawMessage) (json.RawMessage, bool) {
|
||
var patchFields map[string]any
|
||
if err := json.Unmarshal(patch, &patchFields); err != nil || patchFields == nil {
|
||
return nil, false
|
||
}
|
||
merged := make(map[string]any, len(patchFields))
|
||
if len(base) > 0 {
|
||
// base 非对象时忽略,仅以 patch 为准。
|
||
if err := json.Unmarshal(base, &merged); err != nil {
|
||
merged = make(map[string]any, len(patchFields))
|
||
}
|
||
}
|
||
for k, v := range patchFields {
|
||
if v == nil {
|
||
delete(merged, k)
|
||
continue
|
||
}
|
||
merged[k] = v
|
||
}
|
||
out, err := json.Marshal(merged)
|
||
if err != nil {
|
||
return nil, false
|
||
}
|
||
return out, true
|
||
}
|
||
|
||
// mergeOverrideOnlyModels 把 override 中目录/回退两层都不存在的模型作为独立条目并入
|
||
// (条目须自带价格字段才能通过有效性过滤),并对最终仍未生效的条目打 WARN:
|
||
// 模型名拼错、或纯补丁条目落在不存在的模型上时会被静默丢弃,让"已改价/已关阶梯"
|
||
// 的运营预期与实际计费脱节,这里是唯一的哨兵。
|
||
func (s *PricingService) mergeOverrideOnlyModels(data map[string]*LiteLLMModelPricing) map[string]*LiteLLMModelPricing {
|
||
overrides := s.loadPricingOverrideEntries()
|
||
if len(overrides) == 0 {
|
||
return data
|
||
}
|
||
if data == nil {
|
||
data = make(map[string]*LiteLLMModelPricing)
|
||
}
|
||
leftover := make(map[string]json.RawMessage)
|
||
for name, patch := range overrides {
|
||
if _, ok := data[name]; !ok {
|
||
leftover[name] = patch
|
||
}
|
||
}
|
||
if len(leftover) == 0 {
|
||
return data
|
||
}
|
||
// 复用主解析路径(含 above_XXXk 折算与有效性过滤);applyPricingOverrides
|
||
// 对已存在条目做的自我修补是幂等的,不会二次改值。
|
||
if body, err := json.Marshal(leftover); err == nil {
|
||
if parsed, err := s.parsePricingData(body); err == nil {
|
||
maps.Copy(data, parsed)
|
||
}
|
||
}
|
||
var missing []string
|
||
for name := range leftover {
|
||
if _, ok := data[name]; !ok {
|
||
missing = append(missing, name)
|
||
}
|
||
}
|
||
if len(missing) == 0 {
|
||
return data
|
||
}
|
||
sort.Strings(missing)
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Warning: override had no effect for %d model(s): %s (unknown model name, or patch-only entry without price fields)", len(missing), strings.Join(missing, ", "))
|
||
return data
|
||
}
|
||
|
||
// loadPricingData 从本地文件加载价格数据
|
||
func (s *PricingService) loadPricingData(filePath string) error {
|
||
data, err := os.ReadFile(filePath)
|
||
if err != nil {
|
||
return fmt.Errorf("read file failed: %w", err)
|
||
}
|
||
|
||
// 使用灵活的解析方式
|
||
pricingData, err := s.parsePricingData(data)
|
||
if err != nil {
|
||
return fmt.Errorf("parse pricing data: %w", err)
|
||
}
|
||
pricingData = s.mergeFallbackPricingData(pricingData)
|
||
pricingData = s.mergeOverrideOnlyModels(pricingData)
|
||
|
||
// 计算哈希
|
||
hash := sha256.Sum256(data)
|
||
hashStr := hex.EncodeToString(hash[:])
|
||
|
||
s.mu.Lock()
|
||
warnDroppedLongContextLadders(s.pricingData, pricingData)
|
||
s.pricingData = pricingData
|
||
s.localHash = hashStr
|
||
|
||
info, _ := os.Stat(filePath)
|
||
if info != nil {
|
||
s.lastUpdated = info.ModTime()
|
||
} else {
|
||
s.lastUpdated = time.Now()
|
||
}
|
||
s.mu.Unlock()
|
||
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Loaded %d models from %s", len(pricingData), filePath)
|
||
return nil
|
||
}
|
||
|
||
func (s *PricingService) mergeFallbackPricingData(data map[string]*LiteLLMModelPricing) map[string]*LiteLLMModelPricing {
|
||
if data == nil {
|
||
data = make(map[string]*LiteLLMModelPricing)
|
||
}
|
||
if s == nil || s.cfg == nil || strings.TrimSpace(s.cfg.Pricing.FallbackFile) == "" {
|
||
return data
|
||
}
|
||
fallbackBody, err := os.ReadFile(s.cfg.Pricing.FallbackFile)
|
||
if err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Fallback merge skipped: %v", err)
|
||
return data
|
||
}
|
||
fallbackData, err := s.parsePricingData(fallbackBody)
|
||
if err != nil {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Fallback merge parse skipped: %v", err)
|
||
return data
|
||
}
|
||
merged := 0
|
||
for modelName, pricing := range fallbackData {
|
||
if _, ok := data[modelName]; ok {
|
||
continue
|
||
}
|
||
data[modelName] = pricing
|
||
merged++
|
||
}
|
||
if merged > 0 {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Merged %d fallback-only models", merged)
|
||
}
|
||
return data
|
||
}
|
||
|
||
// warnDroppedLongContextLadders 对比新旧目录数据:原本带长上下文阶梯的条目在新数据里
|
||
// 丢失阈值时打 WARN。阶梯已完全数据驱动(无代码兜底),数据源一次误提交就会把阶梯
|
||
// 静默变成基础价少收(07-14~08-21 漏收事故的形态),这里是唯一的哨兵。
|
||
// 调用方需持有 s.mu 写锁。
|
||
func warnDroppedLongContextLadders(old, next map[string]*LiteLLMModelPricing) {
|
||
if len(old) == 0 {
|
||
return
|
||
}
|
||
var dropped []string
|
||
for name, prev := range old {
|
||
if prev == nil || prev.LongContextInputTokenThreshold <= 0 {
|
||
continue
|
||
}
|
||
if cur, ok := next[name]; ok && (cur == nil || cur.LongContextInputTokenThreshold <= 0) {
|
||
dropped = append(dropped, name)
|
||
}
|
||
}
|
||
if len(dropped) == 0 {
|
||
return
|
||
}
|
||
sort.Strings(dropped)
|
||
total := len(dropped)
|
||
if total > 20 {
|
||
dropped = append(dropped[:20], "...")
|
||
}
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Long-context ladder dropped for %d model(s) after reload: %s (verify catalog/override data if unintended)", total, strings.Join(dropped, ", "))
|
||
}
|
||
|
||
// useFallbackPricing 使用回退价格文件
|
||
func (s *PricingService) useFallbackPricing() error {
|
||
fallbackFile := s.cfg.Pricing.FallbackFile
|
||
|
||
if _, err := os.Stat(fallbackFile); os.IsNotExist(err) {
|
||
return fmt.Errorf("fallback file not found: %s", fallbackFile)
|
||
}
|
||
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Using fallback file: %s", fallbackFile)
|
||
|
||
// 复制到数据目录
|
||
data, err := os.ReadFile(fallbackFile)
|
||
if err != nil {
|
||
return fmt.Errorf("read fallback failed: %w", err)
|
||
}
|
||
|
||
pricingFile := s.getPricingFilePath()
|
||
if err := os.WriteFile(pricingFile, data, 0644); err != nil { //nolint:gosec // G703: 路径为配置的数据目录 + 硬编码文件名,非请求输入
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Failed to copy fallback: %v", err)
|
||
}
|
||
|
||
return s.loadPricingData(fallbackFile)
|
||
}
|
||
|
||
// fetchRemoteHash 从远程获取哈希值
|
||
func (s *PricingService) fetchRemoteHash() (string, error) {
|
||
hashURL, err := s.validatePricingURL(s.cfg.Pricing.HashURL)
|
||
if err != nil {
|
||
return "", err
|
||
}
|
||
|
||
ctx, cancel := context.WithTimeout(context.Background(), 10*time.Second)
|
||
defer cancel()
|
||
|
||
hash, err := s.remoteClient.FetchHashText(ctx, hashURL)
|
||
if err != nil {
|
||
return "", err
|
||
}
|
||
return strings.TrimSpace(hash), nil
|
||
}
|
||
|
||
func (s *PricingService) validatePricingURL(raw string) (string, error) {
|
||
if s.cfg != nil && !s.cfg.Security.URLAllowlist.Enabled {
|
||
normalized, err := urlvalidator.ValidateURLFormat(raw, s.cfg.Security.URLAllowlist.AllowInsecureHTTP)
|
||
if err != nil {
|
||
return "", fmt.Errorf("invalid pricing url: %w", err)
|
||
}
|
||
return normalized, nil
|
||
}
|
||
normalized, err := urlvalidator.ValidateHTTPSURL(raw, urlvalidator.ValidationOptions{
|
||
AllowedHosts: s.cfg.Security.URLAllowlist.PricingHosts,
|
||
RequireAllowlist: true,
|
||
AllowPrivate: s.cfg.Security.URLAllowlist.AllowPrivateHosts,
|
||
})
|
||
if err != nil {
|
||
return "", fmt.Errorf("invalid pricing url: %w", err)
|
||
}
|
||
return normalized, nil
|
||
}
|
||
|
||
// GetModelPricing 获取模型价格(带模糊匹配)
|
||
func (s *PricingService) GetModelPricing(modelName string) *LiteLLMModelPricing {
|
||
s.mu.RLock()
|
||
defer s.mu.RUnlock()
|
||
|
||
if modelName == "" {
|
||
return nil
|
||
}
|
||
|
||
// 标准化模型名称(同时兼容 "models/xxx"、VertexAI 资源名等前缀)
|
||
modelLower := strings.ToLower(strings.TrimSpace(modelName))
|
||
lookupCandidates := s.buildModelLookupCandidates(modelLower)
|
||
|
||
// 1~3. 确定性识别(精确名 / 已知拼写变体 / 去掉日期版本后缀)
|
||
if pricing := s.lookupIdentifiedModelPricingLocked(lookupCandidates); pricing != nil {
|
||
return pricing
|
||
}
|
||
|
||
// 4. 基于模型系列匹配(Claude)
|
||
if pricing := s.matchByModelFamily(lookupCandidates[0]); pricing != nil {
|
||
return pricing
|
||
}
|
||
|
||
// 5. OpenAI 模型回退策略
|
||
if strings.HasPrefix(lookupCandidates[0], "gpt-") {
|
||
return s.matchOpenAIModel(lookupCandidates[0])
|
||
}
|
||
|
||
return nil
|
||
}
|
||
|
||
// lookupIdentifiedModelPricingLocked 只做"确定性识别"的三步查找:精确键、已知拼写
|
||
// 变体、去掉日期/版本后缀后的同名条目。它刻意不包含 matchByModelFamily /
|
||
// matchOpenAIModel 这类按子串猜系列的兜底——那些兜底会给任意名字都返回一个价格。
|
||
// 调用方必须持有 s.mu 读锁。
|
||
func (s *PricingService) lookupIdentifiedModelPricingLocked(lookupCandidates []string) *LiteLLMModelPricing {
|
||
if len(lookupCandidates) == 0 {
|
||
return nil
|
||
}
|
||
|
||
// 1. 精确匹配
|
||
for _, candidate := range lookupCandidates {
|
||
if candidate == "" {
|
||
continue
|
||
}
|
||
if pricing, ok := s.pricingData[candidate]; ok {
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
// 2. 处理常见的模型名称变体
|
||
// claude-opus-4-5-20251101 -> claude-opus-4.5-20251101
|
||
for _, candidate := range lookupCandidates {
|
||
normalized := strings.ReplaceAll(candidate, "-4-5-", "-4.5-")
|
||
if pricing, ok := s.pricingData[normalized]; ok {
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
// 3. 尝试模糊匹配(去掉版本号后缀)
|
||
// claude-opus-4-5-20251101 -> claude-opus-4.5
|
||
baseName := s.extractBaseName(lookupCandidates[0])
|
||
for key, pricing := range s.pricingData {
|
||
keyBase := s.extractBaseName(strings.ToLower(key))
|
||
if keyBase == baseName {
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
return nil
|
||
}
|
||
|
||
// GetIdentifiedModelPricing 在价格表中确定性地识别模型,识别不到时返回 nil。
|
||
// 与 GetModelPricing 的区别:不会退化成按 "opus"/"haiku" 之类子串猜出的系列兜底价。
|
||
// 用于必须区分"这是价格表里已知的模型"和"这只是名字里带某个关键词"的场景。
|
||
func (s *PricingService) GetIdentifiedModelPricing(modelName string) *LiteLLMModelPricing {
|
||
if s == nil {
|
||
return nil
|
||
}
|
||
s.mu.RLock()
|
||
defer s.mu.RUnlock()
|
||
|
||
modelLower := strings.ToLower(strings.TrimSpace(modelName))
|
||
if modelLower == "" {
|
||
return nil
|
||
}
|
||
return s.lookupIdentifiedModelPricingLocked(s.buildModelLookupCandidates(modelLower))
|
||
}
|
||
|
||
func (s *PricingService) buildModelLookupCandidates(modelLower string) []string {
|
||
rawCandidates := []string{
|
||
modelLower,
|
||
strings.TrimPrefix(modelLower, "models/"),
|
||
lastSegment(modelLower),
|
||
lastSegment(strings.TrimPrefix(modelLower, "models/")),
|
||
}
|
||
normalized := normalizeModelNameForPricing(modelLower)
|
||
|
||
// A tier-specific entry should take precedence when the pricing catalog gains
|
||
// one later. Today Antigravity's Gemini 3.6 Flash tiers share the base rate,
|
||
// so the normalized base remains the fallback after the exact aliases.
|
||
candidates := rawCandidates
|
||
if normalizeGeminiThinkingTierAlias(lastSegment(modelLower)) != lastSegment(modelLower) {
|
||
candidates = append(candidates, normalized)
|
||
} else {
|
||
// Prefer canonical model names for all other aliases (including models/xxx).
|
||
candidates = append([]string{normalized}, candidates...)
|
||
}
|
||
|
||
seen := make(map[string]struct{}, len(candidates))
|
||
out := make([]string, 0, len(candidates))
|
||
for _, c := range candidates {
|
||
c = strings.TrimSpace(c)
|
||
if c == "" {
|
||
continue
|
||
}
|
||
if _, ok := seen[c]; ok {
|
||
continue
|
||
}
|
||
seen[c] = struct{}{}
|
||
out = append(out, c)
|
||
}
|
||
if len(out) == 0 {
|
||
return []string{modelLower}
|
||
}
|
||
return out
|
||
}
|
||
|
||
func normalizeModelNameForPricing(model string) string {
|
||
// Common Gemini/VertexAI forms:
|
||
// - models/gemini-2.0-flash-exp
|
||
// - publishers/google/models/gemini-2.5-pro
|
||
// - projects/.../locations/.../publishers/google/models/gemini-2.5-pro
|
||
model = strings.TrimSpace(model)
|
||
model = strings.TrimLeft(model, "/")
|
||
model = strings.TrimPrefix(model, "models/")
|
||
model = strings.TrimPrefix(model, "publishers/google/models/")
|
||
|
||
if idx := strings.LastIndex(model, "/publishers/google/models/"); idx != -1 {
|
||
model = model[idx+len("/publishers/google/models/"):]
|
||
}
|
||
if idx := strings.LastIndex(model, "/models/"); idx != -1 {
|
||
model = model[idx+len("/models/"):]
|
||
}
|
||
|
||
model = strings.TrimLeft(model, "/")
|
||
if canonical := canonicalizeOpenAIModelAliasSpelling(model); canonical != "" {
|
||
if canonical == "gpt-5.6" {
|
||
return "gpt-5.6-sol"
|
||
}
|
||
if suffix, ok := strings.CutPrefix(canonical, "gpt-5.6-"); ok && (suffix == "max" || isKnownCodexModelSuffix(suffix)) {
|
||
return "gpt-5.6-sol"
|
||
}
|
||
return canonical
|
||
}
|
||
return normalizeGeminiThinkingTierAlias(model)
|
||
}
|
||
|
||
// normalizeGeminiThinkingTierAlias maps Antigravity's Gemini 3.6 Flash
|
||
// thinking-tier model IDs to the public base model. The tier controls reasoning
|
||
// behavior, not the published token rate, so this keeps -high/-low/-medium and
|
||
// -tiered requests on the same price card as gemini-3.6-flash.
|
||
func normalizeGeminiThinkingTierAlias(model string) string {
|
||
const baseModel = "gemini-3.6-flash"
|
||
for _, tier := range []string{"-high", "-low", "-medium", "-tiered"} {
|
||
if model == baseModel+tier {
|
||
return baseModel
|
||
}
|
||
}
|
||
return model
|
||
}
|
||
|
||
func lastSegment(model string) string {
|
||
if idx := strings.LastIndex(model, "/"); idx != -1 {
|
||
return model[idx+1:]
|
||
}
|
||
return model
|
||
}
|
||
|
||
// extractBaseName 提取基础模型名称(去掉日期版本号)
|
||
func (s *PricingService) extractBaseName(model string) string {
|
||
// 移除日期后缀 (如 -20251101, -20241022)
|
||
parts := strings.Split(model, "-")
|
||
result := make([]string, 0, len(parts))
|
||
for _, part := range parts {
|
||
// 跳过看起来像日期的部分(8位数字)
|
||
if len(part) == 8 && isNumeric(part) {
|
||
continue
|
||
}
|
||
// 跳过版本号(如 v1:0)
|
||
if strings.Contains(part, ":") {
|
||
continue
|
||
}
|
||
result = append(result, part)
|
||
}
|
||
return strings.Join(result, "-")
|
||
}
|
||
|
||
// matchByModelFamily 基于模型系列匹配
|
||
func (s *PricingService) matchByModelFamily(model string) *LiteLLMModelPricing {
|
||
// modelFamily 定义一个模型系列的匹配和定价查找规则。
|
||
type modelFamily struct {
|
||
name string // 系列名称
|
||
match []string // 用于将模型归类到此系列的模式(strings.Contains 匹配)
|
||
pricing []string // 用于在定价数据中查找价格的模式(nil 则复用 match;可包含低版本 fallback)
|
||
}
|
||
|
||
// 按特异性降序排列:高版本号在前,避免 "claude-opus-4"(opus-4 系列)
|
||
// 因子串关系误匹配 "claude-opus-4-7"(opus-4.7 系列)。
|
||
// 注意:原 map 实现存在 Go map 迭代随机性导致的同类 bug,此处改为有序切片修复。
|
||
families := []modelFamily{
|
||
// Opus 5 与 Opus 4.8 同价($5/$25 per MTok)。定价数据缺失 claude-opus-5 时
|
||
// 必须回退到 4.8,否则会掉进 "opus-4" 系列按 $15/$75 计费(3 倍超收)。
|
||
{name: "opus-5", match: []string{"claude-opus-5"}, pricing: []string{"claude-opus-5", "claude-opus-4-8"}},
|
||
{name: "opus-4.8", match: []string{"claude-opus-4-8", "claude-opus-4.8"}, pricing: []string{"claude-opus-4-8", "claude-opus-4.8", "claude-opus-4-7"}},
|
||
{name: "opus-4.7", match: []string{"claude-opus-4-7", "claude-opus-4.7"}, pricing: []string{"claude-opus-4-7", "claude-opus-4.7", "claude-opus-4-6"}},
|
||
{name: "opus-4.6", match: []string{"claude-opus-4-6", "claude-opus-4.6"}},
|
||
{name: "opus-4.5", match: []string{"claude-opus-4-5", "claude-opus-4.5"}},
|
||
{name: "opus-4", match: []string{"claude-opus-4", "claude-3-opus"}},
|
||
{name: "sonnet-4.5", match: []string{"claude-sonnet-4-5", "claude-sonnet-4.5"}},
|
||
{name: "sonnet-4", match: []string{"claude-sonnet-4", "claude-3-5-sonnet"}},
|
||
{name: "sonnet-3.5", match: []string{"claude-3-5-sonnet", "claude-3.5-sonnet"}},
|
||
{name: "sonnet-3", match: []string{"claude-3-sonnet"}},
|
||
{name: "haiku-3.5", match: []string{"claude-3-5-haiku", "claude-3.5-haiku"}},
|
||
{name: "haiku-3", match: []string{"claude-3-haiku"}},
|
||
}
|
||
|
||
// Phase 1: 按有序切片归类(最具体的系列优先匹配)
|
||
var matched *modelFamily
|
||
for i := range families {
|
||
for _, pattern := range families[i].match {
|
||
if strings.Contains(model, pattern) || strings.Contains(model, strings.ReplaceAll(pattern, "-", "")) {
|
||
matched = &families[i]
|
||
break
|
||
}
|
||
}
|
||
if matched != nil {
|
||
break
|
||
}
|
||
}
|
||
|
||
// Phase 2: 二次兜底——当模型 ID 不含已知模式串时,按关键字粗分
|
||
if matched == nil {
|
||
var fallbackName string
|
||
switch {
|
||
case strings.Contains(model, "opus"):
|
||
switch {
|
||
// "opus-5" 必须先判:不能用裸 "5" 匹配,否则 claude-opus-4-5 会被误判。
|
||
case strings.Contains(model, "opus-5") || strings.Contains(model, "opus5"):
|
||
fallbackName = "opus-5"
|
||
case strings.Contains(model, "4.8") || strings.Contains(model, "4-8"):
|
||
fallbackName = "opus-4.8"
|
||
case strings.Contains(model, "4.7") || strings.Contains(model, "4-7"):
|
||
fallbackName = "opus-4.7"
|
||
case strings.Contains(model, "4.6") || strings.Contains(model, "4-6"):
|
||
fallbackName = "opus-4.6"
|
||
case strings.Contains(model, "4.5") || strings.Contains(model, "4-5"):
|
||
fallbackName = "opus-4.5"
|
||
default:
|
||
fallbackName = "opus-4"
|
||
}
|
||
case strings.Contains(model, "sonnet"):
|
||
switch {
|
||
case strings.Contains(model, "4.5") || strings.Contains(model, "4-5"):
|
||
fallbackName = "sonnet-4.5"
|
||
case strings.Contains(model, "3-5") || strings.Contains(model, "3.5"):
|
||
fallbackName = "sonnet-3.5"
|
||
default:
|
||
fallbackName = "sonnet-4"
|
||
}
|
||
case strings.Contains(model, "haiku"):
|
||
switch {
|
||
case strings.Contains(model, "3-5") || strings.Contains(model, "3.5"):
|
||
fallbackName = "haiku-3.5"
|
||
default:
|
||
fallbackName = "haiku-3"
|
||
}
|
||
}
|
||
if fallbackName != "" {
|
||
for i := range families {
|
||
if families[i].name == fallbackName {
|
||
matched = &families[i]
|
||
break
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
if matched == nil {
|
||
return nil
|
||
}
|
||
|
||
// Phase 3: 在定价数据中查找该系列的价格
|
||
lookups := matched.pricing
|
||
if lookups == nil {
|
||
lookups = matched.match
|
||
}
|
||
for _, pattern := range lookups {
|
||
for key, pricing := range s.pricingData {
|
||
keyLower := strings.ToLower(key)
|
||
if strings.Contains(keyLower, pattern) {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] Fuzzy matched %s -> %s", model, key)
|
||
return pricing
|
||
}
|
||
}
|
||
}
|
||
|
||
return nil
|
||
}
|
||
|
||
// matchOpenAIModel OpenAI 模型回退匹配策略
|
||
// 回退顺序:
|
||
// 1. gpt-5.3-codex-spark* -> gpt-5.1-codex(按业务要求固定计费)
|
||
// 2. gpt-5.2-codex -> gpt-5.2(去掉后缀如 -codex, -mini, -max 等)
|
||
// 3. gpt-5.2-20251222 -> gpt-5.2(去掉日期版本号)
|
||
// 4. gpt-5.3-codex -> gpt-5.2-codex
|
||
// 5. gpt-5.4* -> 业务静态兜底价
|
||
// 6. 最终回退到 DefaultTestModel (gpt-5.1-codex)
|
||
func (s *PricingService) matchOpenAIModel(model string) *LiteLLMModelPricing {
|
||
if strings.HasPrefix(model, "gpt-5.3-codex-spark") {
|
||
if pricing, ok := s.pricingData["gpt-5.1-codex"]; ok {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing][SparkBilling] %s -> %s billing", model, "gpt-5.1-codex")
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.1-codex"))
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
// 尝试的回退变体
|
||
variants := s.generateOpenAIModelVariants(model, openAIModelDatePattern)
|
||
|
||
for _, variant := range variants {
|
||
if pricing, ok := s.pricingData[variant]; ok {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, variant))
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
if strings.HasPrefix(model, "gpt-5.3-codex") {
|
||
if pricing, ok := s.pricingData["gpt-5.2-codex"]; ok {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.2-codex"))
|
||
return pricing
|
||
}
|
||
}
|
||
|
||
if strings.HasPrefix(model, "gpt-5.6-sol") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.6-sol(static)"))
|
||
return openAIGPT56SolFallbackPricing
|
||
}
|
||
if strings.HasPrefix(model, "gpt-5.6-terra") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.6-terra(static)"))
|
||
return openAIGPT56TerraFallbackPricing
|
||
}
|
||
if strings.HasPrefix(model, "gpt-5.6-luna") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.6-luna(static)"))
|
||
return openAIGPT56LunaFallbackPricing
|
||
}
|
||
|
||
// GPT-5.5 回退到 GPT-5.4 定价
|
||
if strings.HasPrefix(model, "gpt-5.5") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.4(static)"))
|
||
return openAIGPT54FallbackPricing
|
||
}
|
||
|
||
if strings.HasPrefix(model, "gpt-5.4-mini") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.4-mini(static)"))
|
||
return openAIGPT54MiniFallbackPricing
|
||
}
|
||
|
||
if strings.HasPrefix(model, "gpt-5.4-nano") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.4-nano(static)"))
|
||
return openAIGPT54NanoFallbackPricing
|
||
}
|
||
|
||
if strings.HasPrefix(model, "gpt-5.4") {
|
||
logger.With(zap.String("component", "service.pricing")).
|
||
Info(fmt.Sprintf("[Pricing] OpenAI fallback matched %s -> %s", model, "gpt-5.4(static)"))
|
||
return openAIGPT54FallbackPricing
|
||
}
|
||
|
||
if isOpenAIImageGenerationModel(model) {
|
||
for _, candidate := range []string{"gpt-image-2", "gpt-image-1.5", "gpt-image-1"} {
|
||
if pricing, ok := s.pricingData[candidate]; ok {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] OpenAI image fallback matched %s -> %s", model, candidate)
|
||
return pricing
|
||
}
|
||
}
|
||
return nil
|
||
}
|
||
|
||
// 最终回退到 DefaultTestModel
|
||
defaultModel := strings.ToLower(openai.DefaultTestModel)
|
||
if pricing, ok := s.pricingData[defaultModel]; ok {
|
||
logger.LegacyPrintf("service.pricing", "[Pricing] OpenAI fallback to default model %s -> %s", model, defaultModel)
|
||
return pricing
|
||
}
|
||
|
||
return nil
|
||
}
|
||
|
||
// generateOpenAIModelVariants 生成 OpenAI 模型的回退变体列表
|
||
func (s *PricingService) generateOpenAIModelVariants(model string, datePattern *regexp.Regexp) []string {
|
||
seen := make(map[string]bool)
|
||
var variants []string
|
||
|
||
addVariant := func(v string) {
|
||
if v != model && !seen[v] {
|
||
seen[v] = true
|
||
variants = append(variants, v)
|
||
}
|
||
}
|
||
|
||
// 1. 去掉日期版本号: gpt-5.2-20251222 -> gpt-5.2
|
||
withoutDate := datePattern.ReplaceAllString(model, "")
|
||
if withoutDate != model {
|
||
addVariant(withoutDate)
|
||
}
|
||
|
||
// 2. 提取基础版本号: gpt-5.2-codex -> gpt-5.2
|
||
// 只匹配纯数字版本号格式 gpt-X 或 gpt-X.Y,不匹配 gpt-4o 这种带字母后缀的
|
||
if matches := openAIModelBasePattern.FindStringSubmatch(model); len(matches) > 1 {
|
||
addVariant(matches[1])
|
||
}
|
||
|
||
// 3. 同时去掉日期后再提取基础版本号
|
||
if withoutDate != model {
|
||
if matches := openAIModelBasePattern.FindStringSubmatch(withoutDate); len(matches) > 1 {
|
||
addVariant(matches[1])
|
||
}
|
||
}
|
||
|
||
return variants
|
||
}
|
||
|
||
// GetStatus 获取服务状态
|
||
func (s *PricingService) GetStatus() map[string]any {
|
||
s.mu.RLock()
|
||
defer s.mu.RUnlock()
|
||
|
||
return map[string]any{
|
||
"model_count": len(s.pricingData),
|
||
"last_updated": s.lastUpdated,
|
||
"local_hash": s.localHash[:min(8, len(s.localHash))],
|
||
}
|
||
}
|
||
|
||
// ForceUpdate 强制更新
|
||
func (s *PricingService) ForceUpdate() error {
|
||
return s.downloadPricingData()
|
||
}
|
||
|
||
// getPricingFilePath 获取价格文件路径
|
||
func (s *PricingService) getPricingFilePath() string {
|
||
return filepath.Join(s.cfg.Pricing.DataDir, "model_pricing.json")
|
||
}
|
||
|
||
// getHashFilePath 获取哈希文件路径
|
||
func (s *PricingService) getHashFilePath() string {
|
||
return filepath.Join(s.cfg.Pricing.DataDir, "model_pricing.sha256")
|
||
}
|
||
|
||
// ListModelNamesByProvider returns all model names in the catalog whose
|
||
// LiteLLMProvider matches the given provider string (case-insensitive).
|
||
// The returned slice is sorted alphabetically.
|
||
func (s *PricingService) ListModelNamesByProvider(provider string) []string {
|
||
s.mu.RLock()
|
||
defer s.mu.RUnlock()
|
||
|
||
provider = strings.ToLower(strings.TrimSpace(provider))
|
||
names := make([]string, 0)
|
||
for name, p := range s.pricingData {
|
||
if strings.ToLower(p.LiteLLMProvider) == provider {
|
||
names = append(names, name)
|
||
}
|
||
}
|
||
sort.Strings(names)
|
||
return names
|
||
}
|
||
|
||
// isNumeric 检查字符串是否为纯数字
|
||
func isNumeric(s string) bool {
|
||
for _, c := range s {
|
||
if c < '0' || c > '9' {
|
||
return false
|
||
}
|
||
}
|
||
return true
|
||
}
|