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@@ -0,0 +1,9 @@
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package claude
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func NormalizeCacheCreationSplit(totalTokens int, tokens5m int, tokens1h int) (int, int) {
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remainder := totalTokens - tokens5m - tokens1h
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if remainder < 0 {
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remainder = 0
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}
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return tokens5m + remainder, tokens1h
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}
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@@ -0,0 +1,10 @@
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package claude
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import "errors"
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// ErrMissingMaxTokens is returned when an OpenAI-format request carries no
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// usable max_tokens and no Options.Claude.DefaultMaxTokens hook is
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// configured. The Claude Messages API rejects requests without max_tokens
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// (400 "max_tokens: Field required"), so conversion fails loudly instead of
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// emitting a request the upstream is guaranteed to refuse.
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var ErrMissingMaxTokens = errors.New("claude messages request requires max_tokens: set max_tokens on the request or configure Options.Claude.DefaultMaxTokens")
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@@ -0,0 +1,168 @@
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package claude
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import (
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"context"
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"fmt"
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"math"
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"github.com/QuantumNous/new-api/relaykit/dto"
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"github.com/QuantumNous/new-api/relaykit/relayconvert/convmeta"
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"github.com/QuantumNous/new-api/relaykit/relayconvert/internal/convdiag"
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kitutil "github.com/QuantumNous/new-api/relaykit/relayconvert/kitutil"
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"github.com/QuantumNous/new-api/relaykit/relayconvert/reasoning"
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"github.com/QuantumNous/new-api/relaykit/types"
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)
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func ApplyReasoning(ctx context.Context, req *dto.ClaudeRequest, info convmeta.Meta, source reasoning.Intent, crossProtocol bool) error {
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if req == nil {
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return nil
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}
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opts := convmeta.OptionsOf(info)
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baseModel := req.Model
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capabilityModel := baseModel
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suffix := reasoning.IntentFromState(convmeta.ReasoningStateOf(info))
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preserveSuffix := opts.ShouldPreserveThinkingSuffix(req.Model)
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if info != nil && opts.ShouldPreserveThinkingSuffix(info.GetOriginModelName()) {
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preserveSuffix = true
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}
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if preserveSuffix {
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suffix = reasoning.Intent{}
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}
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// A native Claude request without a host modifier is already in the target
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// protocol, including Claude-compatible proxies that keep native controls
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// instead of applying Anthropic model rules. Read portable effort for
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// accounting metadata, but do not run the capability renderer or rewrite
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// provider-native controls.
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if !crossProtocol && source.IsEmpty() && suffix.IsEmpty() {
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if info != nil {
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effort := req.GetEfforts()
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if effort == "" && req.Thinking != nil {
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switch {
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case req.Thinking.Type == "disabled":
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effort = string(reasoning.EffortNone)
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case req.Thinking.BudgetTokens != nil:
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effort = string(reasoning.EffortFromBudget(*req.Thinking.BudgetTokens))
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case req.Thinking.Type == "enabled" || req.Thinking.Type == "adaptive":
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effort = string(reasoning.EffortHigh)
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}
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}
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info.SetReasoningEffort(effort)
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}
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return nil
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}
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native, err := reasoning.FromClaude(req)
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if err != nil {
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return err
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}
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explicit, err := reasoning.MergeExplicit(native, source, req.Model)
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if err != nil {
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return err
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}
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if info != nil && !reasoning.IsKnownClaudeModel(capabilityModel) && reasoning.IsKnownClaudeModel(info.GetOriginModelName()) {
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capabilityModel = info.GetOriginModelName()
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}
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intent, err := reasoning.MergeExplicitAndSuffix(explicit, suffix, req.Model)
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if err != nil {
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return err
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}
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knownClaudeModel := reasoning.IsKnownClaudeModel(capabilityModel)
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if !knownClaudeModel && intent.Mode == reasoning.ModeAdaptive {
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// Cross-protocol pivots cannot safely assume that an unknown
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// Claude-compatible model implements Anthropic's adaptive mode. Render
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// the broadly supported manual form while retaining the requested
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// strength. Native Claude requests took the passthrough path above.
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intent.Mode = reasoning.ModeEnabled
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if intent.Effort == "" {
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intent.Effort = reasoning.EffortHigh
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}
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}
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if req.MaxTokens == nil && intent.HasStrength() {
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// Adapter-provided defaults may be raised to accommodate an exact
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// cross-protocol budget. Explicit client max_tokens values are never
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// expanded and remain subject to the renderer's strict validation.
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minimum := uint(1280)
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if configuredDefault, configured := opts.Claude.DefaultMaxTokensFor(capabilityModel); configured && configuredDefault > 0 {
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minimum = uint(configuredDefault)
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}
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if reasoning.ClaudeUsesManualThinking(capabilityModel, intent) && *intent.BudgetTokens >= 0 {
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if *intent.BudgetTokens == math.MaxInt {
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return fmt.Errorf("thinking budget is too large to derive max_tokens")
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}
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required := uint(*intent.BudgetTokens) + 1
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const maxDerivedTokens = uint(math.MaxInt32 / 2)
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if required > maxDerivedTokens {
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return fmt.Errorf("thinking budget %d exceeds the supported conversion limit", *intent.BudgetTokens)
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}
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if minimum < required {
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minimum = required
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}
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}
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req.MaxTokens = &minimum
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}
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rendered, err := reasoning.RenderClaude(capabilityModel, intent, req.MaxTokens, opts.Claude.ThinkingAdapterBudgetTokensPercentage)
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if err != nil {
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return err
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}
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convdiag.Add(ctx, rendered.Diagnostics...)
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req.Model = baseModel
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if rendered.Thinking != nil {
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req.Thinking = rendered.Thinking
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}
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if rendered.OutputEffort != "" {
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outputConfig := make(map[string]any)
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if len(req.OutputConfig) > 0 {
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if kitutil.GetJsonType(req.OutputConfig) != "object" {
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return fmt.Errorf("Claude output_config must be a JSON object")
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}
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if err := kitutil.Unmarshal(req.OutputConfig, &outputConfig); err != nil {
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return fmt.Errorf("invalid Claude output_config: %w", err)
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}
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if outputConfig == nil {
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outputConfig = make(map[string]any)
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}
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}
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outputConfig["effort"] = string(rendered.OutputEffort)
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encoded, err := kitutil.Marshal(outputConfig)
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if err != nil {
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return fmt.Errorf("failed to marshal Claude output_config: %w", err)
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}
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req.OutputConfig = encoded
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}
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if rendered.ClearSampling {
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if req.Temperature != nil || req.TopP != nil || req.TopK != nil {
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convdiag.Add(ctx, types.ConversionDiagnostic{
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Code: "claude_sampling_removed",
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Path: "temperature/top_p/top_k",
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Message: fmt.Sprintf("model %q does not accept sampling controls with the selected thinking mode", capabilityModel),
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Severity: types.ConversionDiagnosticWarning,
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To: types.RelayFormatClaude,
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})
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}
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req.Temperature = nil
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req.TopP = nil
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req.TopK = nil
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} else if rendered.ConstrainThinkingSampling {
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removedSampling := req.Temperature != nil || req.TopK != nil || req.TopP != nil && (*req.TopP < 0.95 || *req.TopP > 1)
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req.Temperature = nil
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req.TopK = nil
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if req.TopP != nil && (*req.TopP < 0.95 || *req.TopP > 1) {
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req.TopP = nil
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}
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if removedSampling {
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convdiag.Add(ctx, types.ConversionDiagnostic{
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Code: "claude_sampling_constrained",
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Path: "temperature/top_p/top_k",
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Message: fmt.Sprintf("model %q accepts only top_p between 0.95 and 1 with manual thinking", capabilityModel),
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Severity: types.ConversionDiagnosticWarning,
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To: types.RelayFormatClaude,
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})
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}
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}
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if info != nil && rendered.EffectiveEffort != "" {
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info.SetReasoningEffort(string(rendered.EffectiveEffort))
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}
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return nil
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}
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@@ -0,0 +1,16 @@
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package claude
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func FunctionParametersToInputSchema(parameters any) map[string]any {
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params, _ := parameters.(map[string]any)
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schema := make(map[string]any, len(params)+2)
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for key, value := range params {
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schema[key] = value
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}
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if schema["type"] == nil {
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schema["type"] = "object"
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}
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if schema["properties"] == nil {
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schema["properties"] = map[string]any{}
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}
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return schema
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}
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@@ -0,0 +1,46 @@
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package claude
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import "github.com/QuantumNous/new-api/relaykit/dto"
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func MapOpenAIToolChoice(toolChoice any, parallelToolCalls *bool) *dto.ClaudeToolChoice {
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var claudeToolChoice *dto.ClaudeToolChoice
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if toolChoiceStr, ok := toolChoice.(string); ok {
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switch toolChoiceStr {
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case "auto":
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claudeToolChoice = &dto.ClaudeToolChoice{
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Type: "auto",
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}
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case "required":
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claudeToolChoice = &dto.ClaudeToolChoice{
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Type: "any",
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}
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case "none":
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claudeToolChoice = &dto.ClaudeToolChoice{
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Type: "none",
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}
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}
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} else if toolChoiceMap, ok := toolChoice.(map[string]interface{}); ok {
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if function, ok := toolChoiceMap["function"].(map[string]interface{}); ok {
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if toolName, ok := function["name"].(string); ok {
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claudeToolChoice = &dto.ClaudeToolChoice{
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Type: "tool",
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Name: toolName,
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}
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}
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}
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}
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if parallelToolCalls != nil {
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if claudeToolChoice == nil {
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claudeToolChoice = &dto.ClaudeToolChoice{
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Type: "auto",
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}
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}
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if claudeToolChoice.Type != "none" {
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claudeToolChoice.DisableParallelToolUse = !*parallelToolCalls
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}
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}
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return claudeToolChoice
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}
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@@ -0,0 +1,52 @@
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package claude
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import "github.com/QuantumNous/new-api/relaykit/dto"
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func UsageFromOpenAI(usage *dto.Usage) *dto.ClaudeUsage {
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if usage == nil {
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return nil
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}
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// An existing sidecar snapshots the original provider usage; carry it
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// across this bridge unchanged regardless of its dialect. Only synthesize
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// an OpenAI snapshot when no sidecar exists yet.
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existingBillingUsage := dto.CloneBillingUsage(usage.BillingUsage)
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if existingBillingUsage != nil && existingBillingUsage.ClaudeUsage != nil &&
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(existingBillingUsage.Source == dto.BillingUsageSourceClaudeMessages || existingBillingUsage.Semantic == dto.BillingUsageSemanticAnthropic) {
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result := existingBillingUsage.ClaudeUsage
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result.BillingUsage = dto.CloneBillingUsage(usage.BillingUsage)
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return result
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}
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billingUsage := existingBillingUsage
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if billingUsage == nil {
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billingUsage = dto.NewOpenAIChatBillingUsage(usage)
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}
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cacheCreation5m, cacheCreation1h := NormalizeCacheCreationSplit(
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usage.PromptTokensDetails.CachedCreationTokens,
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usage.ClaudeCacheCreation5mTokens,
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usage.ClaudeCacheCreation1hTokens,
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)
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cacheCreationTokens := usage.PromptTokensDetails.CacheCreationTokensTotal()
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inputTokens := usage.PromptTokens
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if usage.UsageSemantic != dto.BillingUsageSemanticAnthropic {
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// OpenAI-style prompt/input totals include cache reads and writes, while
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// Claude reports both separately from input_tokens.
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inputTokens = usage.PromptTokens - usage.PromptTokensDetails.CachedTokens - cacheCreationTokens
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if inputTokens < 0 {
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inputTokens = 0
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}
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}
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result := &dto.ClaudeUsage{
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InputTokens: inputTokens,
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OutputTokens: usage.CompletionTokens,
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CacheCreationInputTokens: cacheCreationTokens,
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CacheReadInputTokens: usage.PromptTokensDetails.CachedTokens,
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BillingUsage: billingUsage,
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}
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if cacheCreation5m > 0 || cacheCreation1h > 0 {
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result.CacheCreation = &dto.ClaudeCacheCreationUsage{
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Ephemeral5mInputTokens: cacheCreation5m,
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Ephemeral1hInputTokens: cacheCreation1h,
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}
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}
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return result
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}
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