Add provider-specific usage details, fix streaming usage, and return usage from all high-level APIs (Chat.Send, Generate[T], Agent.Run). Breaking changes: - Chat.Send/SendMessage/SendWithImages now return (string, *Usage, error) - Generate[T]/GenerateWith[T] now return (T, *Usage, error) - Agent.Run/RunMessages now return (string, *Usage, error) New features: - Usage.Details map for provider-specific token breakdowns (reasoning, cached, audio, thoughts tokens) - OpenAI streaming now captures usage via StreamOptions.IncludeUsage - Google streaming now captures UsageMetadata from final chunk - UsageTracker.Details() for accumulated detail totals - ModelPricing and PricingRegistry for cost computation Closes #2 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
112 lines
3.0 KiB
Go
112 lines
3.0 KiB
Go
// Package provider defines the interface that LLM backend implementations must satisfy.
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package provider
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import "context"
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// Message is the provider-level message representation.
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type Message struct {
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Role string
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Content string
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Images []Image
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Audio []Audio
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ToolCalls []ToolCall
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ToolCallID string
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}
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// Image represents an image attachment at the provider level.
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type Image struct {
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URL string
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Base64 string
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ContentType string
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}
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// Audio represents an audio attachment at the provider level.
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type Audio struct {
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URL string
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Base64 string
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ContentType string
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}
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// ToolCall represents a tool invocation requested by the model.
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type ToolCall struct {
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ID string
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Name string
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Arguments string // raw JSON
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}
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// ToolDef defines a tool available to the model.
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type ToolDef struct {
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Name string
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Description string
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Schema map[string]any // JSON Schema
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}
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// Request is a completion request at the provider level.
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type Request struct {
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Model string
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Messages []Message
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Tools []ToolDef
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Temperature *float64
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MaxTokens *int
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TopP *float64
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Stop []string
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}
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// Response is a completion response at the provider level.
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type Response struct {
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Text string
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ToolCalls []ToolCall
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Usage *Usage
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}
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// Usage captures token consumption.
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type Usage struct {
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InputTokens int
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OutputTokens int
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TotalTokens int
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Details map[string]int // provider-specific breakdown (e.g., cached, reasoning tokens)
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}
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// Standardized detail keys for provider-specific token breakdowns.
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const (
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UsageDetailReasoningTokens = "reasoning_tokens"
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UsageDetailCachedInputTokens = "cached_input_tokens"
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UsageDetailCacheCreationTokens = "cache_creation_tokens"
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UsageDetailAudioInputTokens = "audio_input_tokens"
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UsageDetailAudioOutputTokens = "audio_output_tokens"
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UsageDetailThoughtsTokens = "thoughts_tokens"
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)
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// StreamEventType identifies the kind of stream event.
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type StreamEventType int
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const (
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StreamEventText StreamEventType = iota // Text content delta
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StreamEventToolStart // Tool call begins
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StreamEventToolDelta // Tool call argument delta
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StreamEventToolEnd // Tool call complete
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StreamEventDone // Stream complete
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StreamEventError // Error occurred
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)
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// StreamEvent represents a single event in a streaming response.
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type StreamEvent struct {
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Type StreamEventType
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Text string
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ToolCall *ToolCall
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ToolIndex int
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Error error
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Response *Response
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}
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// Provider is the interface that LLM backends implement.
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type Provider interface {
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// Complete performs a non-streaming completion.
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Complete(ctx context.Context, req Request) (Response, error)
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// Stream performs a streaming completion, sending events to the channel.
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// The provider MUST close the channel when done.
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// The provider MUST send exactly one StreamEventDone as the last non-error event.
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Stream(ctx context.Context, req Request, events chan<- StreamEvent) error
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}
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