fix(translators): refine prompt token calculation by incorporating cached tokens in Claude response handling
This commit is contained in:
Luis Pater
2025-12-27 03:56:11 +08:00
parent dcae098e23
commit 72274099aa

View File

@@ -205,9 +205,12 @@ func ConvertClaudeResponseToOpenAI(_ context.Context, modelName string, original
if usage := root.Get("usage"); usage.Exists() {
inputTokens := usage.Get("input_tokens").Int()
outputTokens := usage.Get("output_tokens").Int()
template, _ = sjson.Set(template, "usage.prompt_tokens", inputTokens)
cacheReadInputTokens := usage.Get("cache_read_input_tokens").Int()
cacheCreationInputTokens := usage.Get("cache_creation_input_tokens").Int()
template, _ = sjson.Set(template, "usage.prompt_tokens", inputTokens+cacheCreationInputTokens)
template, _ = sjson.Set(template, "usage.completion_tokens", outputTokens)
template, _ = sjson.Set(template, "usage.total_tokens", inputTokens+outputTokens)
template, _ = sjson.Set(template, "usage.prompt_tokens_details.cached_tokens", cacheReadInputTokens)
}
return []string{template}
@@ -281,8 +284,6 @@ func ConvertClaudeResponseToOpenAINonStream(_ context.Context, _ string, origina
var messageID string
var model string
var createdAt int64
var inputTokens, outputTokens int64
var reasoningTokens int64
var stopReason string
var contentParts []string
var reasoningParts []string
@@ -299,9 +300,6 @@ func ConvertClaudeResponseToOpenAINonStream(_ context.Context, _ string, origina
messageID = message.Get("id").String()
model = message.Get("model").String()
createdAt = time.Now().Unix()
if usage := message.Get("usage"); usage.Exists() {
inputTokens = usage.Get("input_tokens").Int()
}
}
case "content_block_start":
@@ -364,11 +362,14 @@ func ConvertClaudeResponseToOpenAINonStream(_ context.Context, _ string, origina
}
}
if usage := root.Get("usage"); usage.Exists() {
outputTokens = usage.Get("output_tokens").Int()
// Estimate reasoning tokens from accumulated thinking content
if len(reasoningParts) > 0 {
reasoningTokens = int64(len(strings.Join(reasoningParts, "")) / 4) // Rough estimation
}
inputTokens := usage.Get("input_tokens").Int()
outputTokens := usage.Get("output_tokens").Int()
cacheReadInputTokens := usage.Get("cache_read_input_tokens").Int()
cacheCreationInputTokens := usage.Get("cache_creation_input_tokens").Int()
out, _ = sjson.Set(out, "usage.prompt_tokens", inputTokens+cacheCreationInputTokens)
out, _ = sjson.Set(out, "usage.completion_tokens", outputTokens)
out, _ = sjson.Set(out, "usage.total_tokens", inputTokens+outputTokens)
out, _ = sjson.Set(out, "usage.prompt_tokens_details.cached_tokens", cacheReadInputTokens)
}
}
}
@@ -427,16 +428,5 @@ func ConvertClaudeResponseToOpenAINonStream(_ context.Context, _ string, origina
out, _ = sjson.Set(out, "choices.0.finish_reason", mapAnthropicStopReasonToOpenAI(stopReason))
}
// Set usage information including prompt tokens, completion tokens, and total tokens
totalTokens := inputTokens + outputTokens
out, _ = sjson.Set(out, "usage.prompt_tokens", inputTokens)
out, _ = sjson.Set(out, "usage.completion_tokens", outputTokens)
out, _ = sjson.Set(out, "usage.total_tokens", totalTokens)
// Add reasoning tokens to usage details if any reasoning content was processed
if reasoningTokens > 0 {
out, _ = sjson.Set(out, "usage.completion_tokens_details.reasoning_tokens", reasoningTokens)
}
return out
}