fix(api): 缺失输出能力配置时透传请求

This commit is contained in:
2026-07-23 11:07:31 +08:00
parent 8d86c4b3b3
commit 46cdb1a288
2 changed files with 123 additions and 42 deletions
+55 -32
View File
@@ -10,7 +10,6 @@ import (
const (
volcesOutputTokenThreshold = 10240
volcesOutputCapabilityErrorCode = "model_capability_configuration_error"
volcesOutputInvalidParameterCode = "invalid_parameter"
)
@@ -25,20 +24,25 @@ func (outputTokenLimitProcessor) ShouldProcess(_ map[string]any, modelType strin
func (outputTokenLimitProcessor) Process(params map[string]any, modelType string, context *paramProcessContext) bool {
modelMax, sourceType, capabilityValue, ok := candidateMaxOutputTokens(context.candidate, modelType)
path := capabilityPath(sourceType, "max_output_tokens")
if parameter, value, explicit := explicitOutputTokenParameter(context.kind, params); explicit {
if _, valid := positiveInteger(value); !valid {
return context.reject(
"OutputTokenLimitProcessor",
parameter,
value,
fmt.Sprintf("%s must be a positive integer", parameter),
path,
capabilityValue,
)
}
}
if !ok {
return context.reject(
"OutputTokenLimitProcessor",
outputTokenParameter(context.kind),
nil,
"火山引擎文本候选未配置正整数 max_output_tokens,已禁止执行该候选。",
path,
capabilityValue,
)
return true
}
if context.kind == "chat.completions" {
if value, explicit := nonNullParameter(params, "max_tokens"); explicit {
if parsed, valid := positiveInteger(value); !valid || parsed > modelMax {
if parsed, _ := positiveInteger(value); parsed > modelMax {
return context.reject("OutputTokenLimitProcessor", "max_tokens", value, fmt.Sprintf("max_tokens must be a positive integer no greater than the selected Volcengine model limit (%d)", modelMax), path, capabilityValue)
}
return true
@@ -57,7 +61,7 @@ func (outputTokenLimitProcessor) Process(params map[string]any, modelType string
}
if value, explicit := nonNullParameter(params, "max_output_tokens"); explicit {
if parsed, valid := positiveInteger(value); !valid || parsed > modelMax {
if parsed, _ := positiveInteger(value); parsed > modelMax {
return context.reject("OutputTokenLimitProcessor", "max_output_tokens", value, fmt.Sprintf("max_output_tokens must be a positive integer no greater than the selected Volcengine model limit (%d)", modelMax), path, capabilityValue)
}
return true
@@ -76,8 +80,35 @@ func filterRuntimeCandidatesByOutputTokens(kind string, requestedModel string, m
if !isOpenAITextGenerationKind(kind) || !isTextOutputModelType(modelType) || len(candidates) == 0 {
return candidates, nil, nil
}
hasVolcesCandidate := false
for _, candidate := range candidates {
if isVolcesCandidate(candidate) {
hasVolcesCandidate = true
break
}
}
if !hasVolcesCandidate {
return candidates, nil, nil
}
explicitParameter, explicitValue, hasExplicitParameter := explicitOutputTokenParameter(kind, body)
explicitTokens := 0
if hasExplicitParameter {
var valid bool
explicitTokens, valid = positiveInteger(explicitValue)
if !valid {
summary := map[string]any{
"filter": "volces_output_token_limit", "kind": kind, "requestedModel": requestedModel, "modelType": modelType,
"candidateCount": len(candidates), "supportedCandidateCount": 0, "filteredCandidateCount": len(candidates),
"code": volcesOutputInvalidParameterCode, "reason": "invalid_output_token_parameter",
"parameter": explicitParameter, "requestedValue": explicitValue,
}
message := fmt.Sprintf("%s must be a positive integer", explicitParameter)
return nil, summary, &store.ModelCandidateUnavailableError{Code: volcesOutputInvalidParameterCode, Message: message, Details: summary}
}
}
filtered := make([]store.RuntimeModelCandidate, 0, len(candidates))
rejected := make([]map[string]any, 0)
missingCapability := make([]map[string]any, 0)
invalidExplicit := false
for _, candidate := range candidates {
if !isVolcesCandidate(candidate) {
@@ -92,15 +123,15 @@ func filterRuntimeCandidatesByOutputTokens(kind string, requestedModel string, m
}
if !configured {
detail["reason"] = "max_output_tokens_missing"
rejected = append(rejected, detail)
missingCapability = append(missingCapability, detail)
filtered = append(filtered, candidate)
continue
}
if parameter, value, explicit := explicitOutputTokenParameter(kind, body); explicit {
parsed, valid := positiveInteger(value)
if !valid || (parameter != "max_completion_tokens" && parsed > modelMax) {
if hasExplicitParameter {
if explicitParameter != "max_completion_tokens" && explicitTokens > modelMax {
detail["reason"] = "requested_output_tokens_exceed_capability"
detail["parameter"] = parameter
detail["requestedValue"] = value
detail["parameter"] = explicitParameter
detail["requestedValue"] = explicitValue
invalidExplicit = true
rejected = append(rejected, detail)
continue
@@ -108,26 +139,25 @@ func filterRuntimeCandidatesByOutputTokens(kind string, requestedModel string, m
}
filtered = append(filtered, candidate)
}
if len(rejected) == 0 {
if len(rejected) == 0 && len(missingCapability) == 0 {
return filtered, nil, nil
}
summary := map[string]any{
"filter": "volces_output_token_limit", "kind": kind, "requestedModel": requestedModel, "modelType": modelType,
"candidateCount": len(candidates), "supportedCandidateCount": len(filtered), "filteredCandidateCount": len(rejected),
"missingCapabilityCandidateCount": len(missingCapability), "passthroughMissingCapability": len(missingCapability) > 0,
"threshold": volcesOutputTokenThreshold, "formula": "third=floor(modelMaxOutputTokens/3); default=third>=10240?third:modelMaxOutputTokens",
"rejectedCandidates": rejected,
"rejectedCandidates": rejected, "missingCapabilityCandidates": missingCapability,
}
if len(filtered) > 0 {
return filtered, summary, nil
}
code := volcesOutputCapabilityErrorCode
message := "所有火山引擎文本候选都缺少有效的 max_output_tokens 能力配置"
if invalidExplicit {
code = volcesOutputInvalidParameterCode
message = "请求的输出 token 上限超过所有可用火山引擎候选的模型能力"
message := "请求的输出 token 上限超过所有可用火山引擎候选的模型能力"
summary["code"] = volcesOutputInvalidParameterCode
return nil, summary, &store.ModelCandidateUnavailableError{Code: volcesOutputInvalidParameterCode, Message: message, Details: summary}
}
summary["code"] = code
return nil, summary, &store.ModelCandidateUnavailableError{Code: code, Message: message, Details: summary}
return filtered, summary, nil
}
func defaultVolcesOutputTokens(modelMax int) int {
@@ -195,13 +225,6 @@ func explicitOutputTokenParameter(kind string, body map[string]any) (string, any
return "max_completion_tokens", value, ok
}
func outputTokenParameter(kind string) string {
if kind == "responses" {
return "max_output_tokens"
}
return "max_tokens"
}
func isOpenAITextGenerationKind(kind string) bool {
return kind == "chat.completions" || kind == "responses"
}
@@ -72,32 +72,90 @@ func TestVolcesOutputProcessorPreservesExplicitLimits(t *testing.T) {
}
}
func TestVolcesOutputCandidateFilterSupportsFailover(t *testing.T) {
func TestVolcesOutputCandidateFilterPreservesMissingCapabilityOrder(t *testing.T) {
missing := volcTextCandidate(nil)
missing.PlatformID = "missing"
valid := volcTextCandidate(32768)
valid.PlatformID = "valid"
filtered, summary, err := filterRuntimeCandidatesByOutputTokens("chat.completions", "demo", "text_generate", map[string]any{"messages": []any{}}, []store.RuntimeModelCandidate{missing, valid})
if err != nil || len(filtered) != 1 || filtered[0].PlatformID != "valid" {
t.Fatalf("expected missing capability candidate to be skipped: filtered=%+v summary=%+v err=%v", filtered, summary, err)
if err != nil || len(filtered) != 2 || filtered[0].PlatformID != "missing" || filtered[1].PlatformID != "valid" {
t.Fatalf("expected missing capability candidate order to be preserved: filtered=%+v summary=%+v err=%v", filtered, summary, err)
}
result := preprocessRequestWithLog("chat.completions", map[string]any{"messages": []any{}}, filtered[0])
if summary["missingCapabilityCandidateCount"] != 1 || summary["passthroughMissingCapability"] != true {
t.Fatalf("expected missing capability audit summary, got %+v", summary)
}
missingResult := preprocessRequestWithLog("chat.completions", map[string]any{"messages": []any{}}, filtered[0])
if missingResult.Err != nil || len(missingResult.Log.Changes) != 0 {
t.Fatalf("missing capability candidate must pass through unchanged: %+v", missingResult)
}
if _, ok := missingResult.Body["max_tokens"]; ok {
t.Fatalf("missing capability candidate must not inject max_tokens: %+v", missingResult.Body)
}
result := preprocessRequestWithLog("chat.completions", map[string]any{"messages": []any{}}, filtered[1])
if result.Body["max_tokens"] != 10922 {
t.Fatalf("failover candidate must recalculate its own default, got %+v", result.Body)
t.Fatalf("configured candidate must calculate its own default, got %+v", result.Body)
}
}
func TestVolcesOutputCandidateFilterRejectsMissingAndExceededCapabilities(t *testing.T) {
_, _, err := filterRuntimeCandidatesByOutputTokens("responses", "demo", "text_generate", map[string]any{"input": "hello"}, []store.RuntimeModelCandidate{volcTextCandidate(nil)})
if store.ModelCandidateErrorCode(err) != volcesOutputCapabilityErrorCode {
t.Fatalf("expected capability configuration error, got %v", err)
func TestVolcesOutputCandidateFilterPassesThroughMissingCapability(t *testing.T) {
filtered, summary, err := filterRuntimeCandidatesByOutputTokens("responses", "demo", "text_generate", map[string]any{"input": "hello"}, []store.RuntimeModelCandidate{volcTextCandidate(nil)})
if err != nil || len(filtered) != 1 {
t.Fatalf("expected missing capability candidate to remain available: filtered=%+v summary=%+v err=%v", filtered, summary, err)
}
_, _, err = filterRuntimeCandidatesByOutputTokens("chat.completions", "demo", "text_generate", map[string]any{"messages": []any{}, "max_tokens": 32769}, []store.RuntimeModelCandidate{volcTextCandidate(32768)})
result := preprocessRequestWithLog("responses", map[string]any{"input": "hello"}, filtered[0])
if result.Err != nil {
t.Fatalf("missing capability preprocessing must pass through: %v", result.Err)
}
if _, ok := result.Body["max_output_tokens"]; ok {
t.Fatalf("missing capability preprocessing must not inject max_output_tokens: %+v", result.Body)
}
}
func TestVolcesOutputCandidateFilterRejectsExceededKnownCapability(t *testing.T) {
_, _, err := filterRuntimeCandidatesByOutputTokens("chat.completions", "demo", "text_generate", map[string]any{"messages": []any{}, "max_tokens": 32769}, []store.RuntimeModelCandidate{volcTextCandidate(32768)})
if store.ModelCandidateErrorCode(err) != volcesOutputInvalidParameterCode {
t.Fatalf("expected invalid_parameter for explicit limit, got %v", err)
}
}
func TestVolcesOutputCandidateFilterAllowsUnknownCapabilityForExplicitLimit(t *testing.T) {
missing := volcTextCandidate(nil)
missing.PlatformID = "missing"
configured := volcTextCandidate(32768)
configured.PlatformID = "configured"
filtered, summary, err := filterRuntimeCandidatesByOutputTokens(
"chat.completions",
"demo",
"text_generate",
map[string]any{"messages": []any{}, "max_tokens": 65536},
[]store.RuntimeModelCandidate{missing, configured},
)
if err != nil || len(filtered) != 1 || filtered[0].PlatformID != "missing" {
t.Fatalf("expected unknown capability candidate to remain available: filtered=%+v summary=%+v err=%v", filtered, summary, err)
}
}
func TestVolcesOutputProcessorValidatesExplicitLimitWithoutCapability(t *testing.T) {
valid := preprocessRequestWithLog("chat.completions", map[string]any{"messages": []any{}, "max_tokens": 2048}, volcTextCandidate(nil))
if valid.Err != nil || valid.Body["max_tokens"] != 2048 {
t.Fatalf("valid explicit limit must pass through: %+v", valid)
}
invalid := preprocessRequestWithLog("chat.completions", map[string]any{"messages": []any{}, "max_tokens": 0}, volcTextCandidate(nil))
if invalid.Err == nil {
t.Fatalf("invalid explicit limit must still be rejected: %+v", invalid)
}
_, _, err := filterRuntimeCandidatesByOutputTokens(
"chat.completions",
"demo",
"text_generate",
map[string]any{"messages": []any{}, "max_tokens": 0},
[]store.RuntimeModelCandidate{volcTextCandidate(nil)},
)
if store.ModelCandidateErrorCode(err) != volcesOutputInvalidParameterCode {
t.Fatalf("candidate filter must reject an invalid explicit limit, got %v", err)
}
}
func TestNonVolcesOutputProcessorDoesNotInject(t *testing.T) {
candidate := volcTextCandidate(131072)
candidate.Provider = "openai"