mirror of
https://github.com/Wei-Shaw/sub2api.git
synced 2026-08-30 17:09:13 +08:00
Merge branch 'main' into fix/grok46-xhigh
This commit is contained in:
@@ -5,6 +5,7 @@ import (
|
||||
"fmt"
|
||||
"net/http"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/Wei-Shaw/sub2api/internal/pkg/ctxkey"
|
||||
"github.com/gin-gonic/gin"
|
||||
@@ -19,13 +20,16 @@ type responsesFailedError struct {
|
||||
|
||||
// responsesFailedBody 对齐 apicompat.makeResponsesCompletedEvent 输出的 response 子对象字段集。
|
||||
// Output 用空 slice(不是 nil)确保 marshal 为 `[]` 而非 `null`。
|
||||
// CreatedAt 不带 omitempty:严格客户端把它当必填字段,缺失会以
|
||||
// `missing field 'created_at'` 反序列化失败——那正是本文件要避免的"客户端读不懂终止事件"。
|
||||
type responsesFailedBody struct {
|
||||
ID string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
Model string `json:"model,omitempty"`
|
||||
Status string `json:"status"`
|
||||
Output []any `json:"output"`
|
||||
Error responsesFailedError `json:"error"`
|
||||
ID string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
CreatedAt int64 `json:"created_at"`
|
||||
Model string `json:"model,omitempty"`
|
||||
Status string `json:"status"`
|
||||
Output []any `json:"output"`
|
||||
Error responsesFailedError `json:"error"`
|
||||
}
|
||||
|
||||
// responsesFailedEvent 是写入 SSE data 行的顶层结构。
|
||||
@@ -61,11 +65,12 @@ func writeResponsesFailedSSE(c *gin.Context, errType, message string) bool {
|
||||
payload, err := json.Marshal(responsesFailedEvent{
|
||||
Type: "response.failed",
|
||||
Response: responsesFailedBody{
|
||||
ID: synthesizeResponseID(c),
|
||||
Object: "response",
|
||||
Model: requestModel(c),
|
||||
Status: "failed",
|
||||
Output: []any{},
|
||||
ID: synthesizeResponseID(c),
|
||||
Object: "response",
|
||||
CreatedAt: time.Now().Unix(),
|
||||
Model: requestModel(c),
|
||||
Status: "failed",
|
||||
Output: []any{},
|
||||
Error: responsesFailedError{
|
||||
Code: mapResponsesErrorCode(errType),
|
||||
Message: message,
|
||||
|
||||
@@ -227,6 +227,22 @@ func TestOpenAIHandleStreamingAwareError_BareResponsesRouteEmitsResponseFailed(t
|
||||
}
|
||||
|
||||
// Synthesized response.failed id falls back to uuid when no request_id is present.
|
||||
// issue #5601:严格的 Responses 客户端把 created_at 当必填字段,缺失即
|
||||
// `missing field 'created_at'`。合成的终止事件若解析不了,本文件存在的意义
|
||||
// (给客户端一个可识别的终止事件而不是盲重连)就落空了。
|
||||
func TestOpenAIHandleStreamingAwareError_ResponsesStreamingCarriesCreatedAt(t *testing.T) {
|
||||
c, w := newGinContextForEndpoint(t, EndpointResponses)
|
||||
h := &OpenAIGatewayHandler{}
|
||||
h.handleStreamingAwareError(c, http.StatusBadGateway, "upstream_error", "boom", true)
|
||||
|
||||
resp, _ := parseResponsesFailedSSE(t, w.Body.String())
|
||||
raw, ok := resp["created_at"]
|
||||
assert.True(t, ok, "response.failed 必须带 created_at")
|
||||
createdAt, ok := raw.(float64)
|
||||
assert.True(t, ok, "created_at 必须是数字,得到 %T", raw)
|
||||
assert.Greater(t, int64(createdAt), int64(0), "created_at 必须是有效的 unix 时间戳")
|
||||
}
|
||||
|
||||
func TestSynthesizeResponseID_FallbackUUID(t *testing.T) {
|
||||
c, _ := newGinContextForEndpoint(t, EndpointResponses)
|
||||
id := synthesizeResponseID(c)
|
||||
|
||||
@@ -21,10 +21,13 @@ func AnthropicToResponsesResponse(resp *AnthropicResponse) *ResponsesResponse {
|
||||
id = generateResponsesID()
|
||||
}
|
||||
|
||||
// Anthropic responses carry no creation timestamp, so stamp now — the same
|
||||
// synthesize-what-the-client-requires rule the generated id above follows.
|
||||
out := &ResponsesResponse{
|
||||
ID: id,
|
||||
Object: "response",
|
||||
Model: resp.Model,
|
||||
ID: id,
|
||||
Object: "response",
|
||||
CreatedAt: time.Now().Unix(),
|
||||
Model: resp.Model,
|
||||
}
|
||||
|
||||
var outputs []ResponsesOutput
|
||||
@@ -551,11 +554,12 @@ func makeResponsesCreatedEvent(state *AnthropicEventToResponsesState) ResponsesS
|
||||
Type: "response.created",
|
||||
SequenceNumber: seq,
|
||||
Response: &ResponsesResponse{
|
||||
ID: state.ResponseID,
|
||||
Object: "response",
|
||||
Model: state.Model,
|
||||
Status: "in_progress",
|
||||
Output: []ResponsesOutput{},
|
||||
ID: state.ResponseID,
|
||||
Object: "response",
|
||||
CreatedAt: state.Created,
|
||||
Model: state.Model,
|
||||
Status: "in_progress",
|
||||
Output: []ResponsesOutput{},
|
||||
},
|
||||
}
|
||||
}
|
||||
@@ -602,6 +606,7 @@ func makeResponsesCompletedEvent(
|
||||
Response: &ResponsesResponse{
|
||||
ID: state.ResponseID,
|
||||
Object: "response",
|
||||
CreatedAt: state.Created,
|
||||
Model: state.Model,
|
||||
Status: status,
|
||||
Output: outputs,
|
||||
|
||||
@@ -249,8 +249,8 @@ func anthropicUserToChatMessages(raw json.RawMessage) ([]ChatMessage, error) {
|
||||
|
||||
// anthropicAssistantToChatMessages handles an Anthropic assistant message.
|
||||
// Text content → assistant message content; tool_use blocks → tool_calls on the
|
||||
// same assistant message; thinking blocks are dropped (Chat Completions has no
|
||||
// inbound thinking field, matching anthropicAssistantToResponses).
|
||||
// same assistant message; thinking blocks → reasoning_content, but only on a
|
||||
// message that carries tool calls (see anthropicThinkingToReasoningContent).
|
||||
func anthropicAssistantToChatMessages(raw json.RawMessage) ([]ChatMessage, error) {
|
||||
// Plain string → single assistant message.
|
||||
var s string
|
||||
@@ -289,9 +289,40 @@ func anthropicAssistantToChatMessages(raw json.RawMessage) ([]ChatMessage, error
|
||||
})
|
||||
}
|
||||
|
||||
msg.ReasoningContent = anthropicThinkingToReasoningContent(blocks, len(msg.ToolCalls) > 0)
|
||||
|
||||
return []ChatMessage{msg}, nil
|
||||
}
|
||||
|
||||
// anthropicThinkingToReasoningContent folds thinking blocks back into the
|
||||
// Chat Completions reasoning_content field.
|
||||
//
|
||||
// chatMessageToAnthropicBlocks emits the upstream's reasoning_content as a
|
||||
// thinking block on the way out, so a multi-turn client echoes it back on the
|
||||
// next request; dropping it here made the bridge lose exactly what it had just
|
||||
// produced. DeepSeek's thinking mode requires the reasoning_content that
|
||||
// produced a tool call to be replayed on that assistant message and answers
|
||||
// 400 otherwise, which is why buildChatMessagesFromItems already carries
|
||||
// pendingReasoning onto assistant tool-call messages in the Responses→Chat
|
||||
// bridge. hasToolCalls keeps the scope identical to that sibling: reasoning
|
||||
// rides along with tool calls only, never on a plain assistant text turn.
|
||||
//
|
||||
// redacted_thinking blocks and signature-only placeholders carry no plaintext
|
||||
// and contribute nothing. Multiple blocks join with "\n", matching
|
||||
// extractResponsesReasoningText.
|
||||
func anthropicThinkingToReasoningContent(blocks []AnthropicContentBlock, hasToolCalls bool) string {
|
||||
if !hasToolCalls {
|
||||
return ""
|
||||
}
|
||||
var parts []string
|
||||
for _, b := range blocks {
|
||||
if b.Type == "thinking" && b.Thinking != "" {
|
||||
parts = append(parts, b.Thinking)
|
||||
}
|
||||
}
|
||||
return strings.Join(parts, "\n")
|
||||
}
|
||||
|
||||
// anthropicToolsToChatTools maps Anthropic tool definitions to Chat Completions
|
||||
// function tools. Server-side tools (web_search_*) are dropped — they have no
|
||||
// Chat Completions equivalent.
|
||||
|
||||
@@ -143,8 +143,11 @@ func TestAnthropicToChatCompletionsRequest_ThinkingDropped(t *testing.T) {
|
||||
out, err := AnthropicToChatCompletionsRequest(req)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, out.Messages, 1)
|
||||
// Only text survives; thinking is dropped
|
||||
// Only text survives. Thinking is dropped because this turn carries no tool
|
||||
// calls — reasoning rides along with tool calls only, matching the
|
||||
// Responses→Chat bridge (see anthropicThinkingToReasoningContent).
|
||||
require.Equal(t, `"answer"`, string(out.Messages[0].Content))
|
||||
require.Empty(t, out.Messages[0].ReasoningContent)
|
||||
}
|
||||
|
||||
func TestAnthropicToChatCompletionsRequest_ToolChoiceAuto(t *testing.T) {
|
||||
|
||||
@@ -0,0 +1,229 @@
|
||||
package apicompat
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"testing"
|
||||
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
// issue #5528:/v1/messages 客户端(Claude Code 等)打到只会 Chat Completions 的
|
||||
// OpenAI 兼容上游时,历史 assistant 消息里的 thinking 块被整块丢弃。DeepSeek 的
|
||||
// thinking mode 要求产生工具调用的 reasoning_content 随该 assistant 消息回传,
|
||||
// 于是「单轮正常、一进多轮工具对话必现 400」。
|
||||
|
||||
func anthropicAssistantMsg(t *testing.T, blocks string) *AnthropicRequest {
|
||||
t.Helper()
|
||||
return &AnthropicRequest{
|
||||
Model: "deepseek-v4-flash",
|
||||
MaxTokens: 256,
|
||||
Messages: []AnthropicMessage{
|
||||
{Role: "user", Content: json.RawMessage(`"what's the weather?"`)},
|
||||
{Role: "assistant", Content: json.RawMessage(blocks)},
|
||||
{Role: "user", Content: json.RawMessage(`[{"type":"tool_result","tool_use_id":"toolu_1","content":"sunny"}]`)},
|
||||
},
|
||||
}
|
||||
}
|
||||
|
||||
const anthropicThinkingToolTurn = `[
|
||||
{"type":"thinking","thinking":"user wants weather, call the tool"},
|
||||
{"type":"text","text":"checking"},
|
||||
{"type":"tool_use","id":"toolu_1","name":"get_weather","input":{"city":"SF"}}
|
||||
]`
|
||||
|
||||
func TestAnthropicToChatCompletionsRequest_ThinkingBecomesReasoningContentOnToolTurn(t *testing.T) {
|
||||
out, err := AnthropicToChatCompletionsRequest(anthropicAssistantMsg(t, anthropicThinkingToolTurn))
|
||||
require.NoError(t, err)
|
||||
|
||||
var assistant *ChatMessage
|
||||
for i := range out.Messages {
|
||||
if out.Messages[i].Role == "assistant" {
|
||||
assistant = &out.Messages[i]
|
||||
break
|
||||
}
|
||||
}
|
||||
require.NotNil(t, assistant, "assistant message must survive the bridge")
|
||||
require.Equal(t, "user wants weather, call the tool", assistant.ReasoningContent,
|
||||
"产生工具调用的 thinking 必须作为 reasoning_content 回传,否则 DeepSeek 400")
|
||||
require.Len(t, assistant.ToolCalls, 1)
|
||||
require.Equal(t, `"checking"`, string(assistant.Content), "text/tool_use 处理保持不变")
|
||||
}
|
||||
|
||||
// 上游线格式才是上游看到的东西:字段没序列化出去,等于没修。
|
||||
func TestAnthropicToChatCompletionsRequest_ReasoningContentSerializesOnWire(t *testing.T) {
|
||||
out, err := AnthropicToChatCompletionsRequest(anthropicAssistantMsg(t, anthropicThinkingToolTurn))
|
||||
require.NoError(t, err)
|
||||
|
||||
payload, err := json.Marshal(out)
|
||||
require.NoError(t, err)
|
||||
require.Contains(t, string(payload), `"reasoning_content":"user wants weather, call the tool"`)
|
||||
}
|
||||
|
||||
// 闭环不变式:thinking 块本来就是本桥出站时用上游 reasoning_content 生成的
|
||||
// (chatMessageToAnthropicBlocks),客户端只是原样回传。出站造、入站丢 = 自己丢自己的东西。
|
||||
func TestAnthropicChatBridge_ReasoningSurvivesOutboundInboundRoundTrip(t *testing.T) {
|
||||
upstream := ChatMessage{
|
||||
Role: "assistant",
|
||||
ReasoningContent: "step 1: need the weather tool",
|
||||
Content: json.RawMessage(`"checking"`),
|
||||
ToolCalls: []ChatToolCall{{
|
||||
ID: "call_1",
|
||||
Type: "function",
|
||||
Function: ChatFunctionCall{Name: "get_weather", Arguments: `{"city":"SF"}`},
|
||||
}},
|
||||
}
|
||||
|
||||
// 出站:Chat 响应 → Anthropic content blocks
|
||||
blocks := chatMessageToAnthropicBlocks(upstream)
|
||||
require.Equal(t, "thinking", blocks[0].Type)
|
||||
require.Equal(t, upstream.ReasoningContent, blocks[0].Thinking)
|
||||
|
||||
// 客户端下一轮把同一组 blocks 原样回传
|
||||
raw, err := json.Marshal(blocks)
|
||||
require.NoError(t, err)
|
||||
|
||||
// 入站:Anthropic content blocks → Chat 请求
|
||||
back, err := anthropicAssistantToChatMessages(raw)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, back, 1)
|
||||
require.Equal(t, upstream.ReasoningContent, back[0].ReasoningContent,
|
||||
"出站生成的 thinking 必须能原样还原回 reasoning_content")
|
||||
require.Len(t, back[0].ToolCalls, 1)
|
||||
}
|
||||
|
||||
// 兄弟不变式:Responses→Chat 桥(buildChatMessagesFromItems 的 pendingReasoning)
|
||||
// 早就把 reasoning 挂到带 tool_calls 的 assistant 消息上了。等价历史下两条桥必须一致。
|
||||
func TestAnthropicChatBridge_MatchesResponsesChatBridgeReasoningPlacement(t *testing.T) {
|
||||
responsesReq := &ResponsesRequest{
|
||||
Model: "deepseek-v4-flash",
|
||||
Input: json.RawMessage(`[
|
||||
{"type":"message","role":"user","content":[{"type":"input_text","text":"what's the weather?"}]},
|
||||
{"type":"reasoning","summary":[{"type":"summary_text","text":"call the tool"}]},
|
||||
{"type":"function_call","call_id":"call_1","name":"get_weather","arguments":"{\"city\":\"SF\"}"},
|
||||
{"type":"function_call_output","call_id":"call_1","output":"sunny"}
|
||||
]`),
|
||||
}
|
||||
viaResponses, err := ResponsesToChatCompletionsRequest(responsesReq)
|
||||
require.NoError(t, err)
|
||||
|
||||
viaAnthropic, err := AnthropicToChatCompletionsRequest(anthropicAssistantMsg(t, `[
|
||||
{"type":"thinking","thinking":"call the tool"},
|
||||
{"type":"tool_use","id":"toolu_1","name":"get_weather","input":{"city":"SF"}}
|
||||
]`))
|
||||
require.NoError(t, err)
|
||||
|
||||
reasoningOnToolCallMessage := func(msgs []ChatMessage) string {
|
||||
for _, m := range msgs {
|
||||
if m.Role == "assistant" && len(m.ToolCalls) > 0 {
|
||||
return m.ReasoningContent
|
||||
}
|
||||
}
|
||||
return ""
|
||||
}
|
||||
require.Equal(t, "call the tool", reasoningOnToolCallMessage(viaResponses.Messages),
|
||||
"前置条件:兄弟桥本来就带 reasoning_content")
|
||||
require.Equal(t, reasoningOnToolCallMessage(viaResponses.Messages),
|
||||
reasoningOnToolCallMessage(viaAnthropic.Messages),
|
||||
"两条桥对等价历史必须产出同样的 reasoning_content 位置")
|
||||
}
|
||||
|
||||
// 作用域守卫:不带工具调用的纯文本轮次维持现状(与兄弟桥一致 —— reasoning 只随
|
||||
// 工具调用回传),避免把 reasoning_content 撒到不需要它的上游请求上。
|
||||
func TestAnthropicToChatCompletionsRequest_ThinkingWithoutToolCallsStaysDropped(t *testing.T) {
|
||||
req := &AnthropicRequest{
|
||||
Model: "deepseek-v4-flash",
|
||||
MaxTokens: 100,
|
||||
Messages: []AnthropicMessage{
|
||||
{Role: "assistant", Content: json.RawMessage(
|
||||
`[{"type":"thinking","thinking":"secret thoughts"},{"type":"text","text":"answer"}]`)},
|
||||
},
|
||||
}
|
||||
|
||||
out, err := AnthropicToChatCompletionsRequest(req)
|
||||
require.NoError(t, err)
|
||||
require.Len(t, out.Messages, 1)
|
||||
require.Empty(t, out.Messages[0].ReasoningContent)
|
||||
require.Equal(t, `"answer"`, string(out.Messages[0].Content))
|
||||
|
||||
payload, err := json.Marshal(out)
|
||||
require.NoError(t, err)
|
||||
require.NotContains(t, string(payload), "reasoning_content")
|
||||
}
|
||||
|
||||
func TestAnthropicThinkingToReasoningContent(t *testing.T) {
|
||||
blocksOf := func(t *testing.T, raw string) []AnthropicContentBlock {
|
||||
t.Helper()
|
||||
var blocks []AnthropicContentBlock
|
||||
require.NoError(t, json.Unmarshal([]byte(raw), &blocks))
|
||||
return blocks
|
||||
}
|
||||
|
||||
cases := []struct {
|
||||
name string
|
||||
raw string
|
||||
hasToolCalls bool
|
||||
want string
|
||||
}{
|
||||
{
|
||||
name: "single_thinking_block",
|
||||
raw: `[{"type":"thinking","thinking":"a"}]`,
|
||||
hasToolCalls: true,
|
||||
want: "a",
|
||||
},
|
||||
{
|
||||
// 多个 thinking 块用 "\n" 连接,与 extractResponsesReasoningText 一致。
|
||||
name: "multiple_blocks_join_with_newline",
|
||||
raw: `[{"type":"thinking","thinking":"a"},{"type":"text","text":"x"},{"type":"thinking","thinking":"b"}]`,
|
||||
hasToolCalls: true,
|
||||
want: "a\nb",
|
||||
},
|
||||
{
|
||||
// redacted_thinking 没有明文可回传。
|
||||
name: "redacted_thinking_has_no_plaintext",
|
||||
raw: `[{"type":"redacted_thinking","signature":"abc"}]`,
|
||||
hasToolCalls: true,
|
||||
want: "",
|
||||
},
|
||||
{
|
||||
// 只带 signature 的 thinking 占位块(xAI/Codex 密文回放形态)同样无明文。
|
||||
name: "signature_only_thinking",
|
||||
raw: `[{"type":"thinking","thinking":"","signature":"gAAAAxxx"}]`,
|
||||
hasToolCalls: true,
|
||||
want: "",
|
||||
},
|
||||
{
|
||||
name: "no_tool_calls_returns_empty",
|
||||
raw: `[{"type":"thinking","thinking":"a"}]`,
|
||||
hasToolCalls: false,
|
||||
want: "",
|
||||
},
|
||||
{
|
||||
name: "no_thinking_blocks",
|
||||
raw: `[{"type":"text","text":"x"}]`,
|
||||
hasToolCalls: true,
|
||||
want: "",
|
||||
},
|
||||
{
|
||||
name: "empty_blocks",
|
||||
raw: `[]`,
|
||||
hasToolCalls: true,
|
||||
want: "",
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range cases {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
require.Equal(t, tc.want,
|
||||
anthropicThinkingToReasoningContent(blocksOf(t, tc.raw), tc.hasToolCalls))
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// 纯字符串形态的 assistant content 没有 blocks 可读,走早返回分支,不得 panic。
|
||||
func TestAnthropicAssistantToChatMessages_PlainStringContentUnaffected(t *testing.T) {
|
||||
msgs, err := anthropicAssistantToChatMessages(json.RawMessage(`"just text"`))
|
||||
require.NoError(t, err)
|
||||
require.Len(t, msgs, 1)
|
||||
require.Empty(t, msgs[0].ReasoningContent)
|
||||
require.Equal(t, `"just text"`, string(msgs[0].Content))
|
||||
}
|
||||
@@ -1211,9 +1211,20 @@ func ChatCompletionsResponseToResponses(resp *ChatCompletionsResponse, model str
|
||||
id = generateResponsesID()
|
||||
}
|
||||
|
||||
// Carry the upstream's own creation timestamp when it sent one; otherwise
|
||||
// stamp now, same fallback shape as the generated id above.
|
||||
createdAt := int64(0)
|
||||
if resp != nil {
|
||||
createdAt = resp.Created
|
||||
}
|
||||
if createdAt <= 0 {
|
||||
createdAt = time.Now().Unix()
|
||||
}
|
||||
|
||||
out := &ResponsesResponse{
|
||||
ID: id,
|
||||
Object: "response",
|
||||
CreatedAt: createdAt,
|
||||
Model: model,
|
||||
Status: "completed",
|
||||
ServiceTier: chatServiceTier(resp),
|
||||
@@ -1711,6 +1722,7 @@ func FinalizeChatCompletionsResponsesStream(state *ChatCompletionsToResponsesStr
|
||||
Response: &ResponsesResponse{
|
||||
ID: state.ResponseID,
|
||||
Object: "response",
|
||||
CreatedAt: state.Created,
|
||||
Model: state.Model,
|
||||
Status: status,
|
||||
ServiceTier: state.ServiceTier,
|
||||
@@ -1731,6 +1743,7 @@ func ensureChatToResponsesCreated(state *ChatCompletionsToResponsesStreamState)
|
||||
Response: &ResponsesResponse{
|
||||
ID: state.ResponseID,
|
||||
Object: "response",
|
||||
CreatedAt: state.Created,
|
||||
Model: state.Model,
|
||||
Status: "in_progress",
|
||||
ServiceTier: state.ServiceTier,
|
||||
|
||||
@@ -358,6 +358,9 @@ func normalizeClientToolOutput(item map[string]any) {
|
||||
if _, ok := output.(string); ok {
|
||||
return
|
||||
}
|
||||
if isResponsesToolOutputContent(output) {
|
||||
return
|
||||
}
|
||||
if output == nil {
|
||||
item["output"] = ""
|
||||
return
|
||||
@@ -370,6 +373,25 @@ func normalizeClientToolOutput(item map[string]any) {
|
||||
item["output"] = string(encoded)
|
||||
}
|
||||
|
||||
func isResponsesToolOutputContent(output any) bool {
|
||||
parts, ok := output.([]any)
|
||||
if !ok || len(parts) == 0 {
|
||||
return false
|
||||
}
|
||||
for _, part := range parts {
|
||||
typed, ok := part.(map[string]any)
|
||||
if !ok {
|
||||
return false
|
||||
}
|
||||
switch stringValue(typed["type"]) {
|
||||
case "input_text", "input_image", "input_file":
|
||||
default:
|
||||
return false
|
||||
}
|
||||
}
|
||||
return true
|
||||
}
|
||||
|
||||
// normalizeToolSearchOutput converts both tool_search output wire shapes into
|
||||
// the string output required by function_call_output. Older clients send an
|
||||
// output field directly; newer Codex clients return discovered definitions in
|
||||
|
||||
@@ -460,7 +460,55 @@ func TestAdaptResponsesClientToolsWithInheritedMapping_LowersFollowupHistoryWith
|
||||
output := requireResponsesClientToolValue[map[string]any](t, items[1])
|
||||
require.Equal(t, "function_call_output", output["type"])
|
||||
require.NotContains(t, output, "id")
|
||||
require.JSONEq(t, `[{"text":"ok","type":"input_text"}]`, requireResponsesClientToolValue[string](t, output["output"]))
|
||||
require.Equal(t, []any{map[string]any{"type": "input_text", "text": "ok"}}, output["output"])
|
||||
}
|
||||
|
||||
func TestAdaptResponsesClientTools_NormalizesCustomToolOutput(t *testing.T) {
|
||||
tests := []struct {
|
||||
name string
|
||||
output any
|
||||
wantOutput any
|
||||
}{
|
||||
{
|
||||
name: "supported content parts remain an array",
|
||||
output: []any{
|
||||
map[string]any{"type": "input_text", "text": "ok"},
|
||||
map[string]any{"type": "input_image", "image_url": "https://example.com/image.png"},
|
||||
map[string]any{"type": "input_file", "file_id": "file_123"},
|
||||
},
|
||||
wantOutput: []any{
|
||||
map[string]any{"type": "input_text", "text": "ok"},
|
||||
map[string]any{"type": "input_image", "image_url": "https://example.com/image.png"},
|
||||
map[string]any{"type": "input_file", "file_id": "file_123"},
|
||||
},
|
||||
},
|
||||
{name: "ordinary object is stringified", output: map[string]any{"ok": true}, wantOutput: `{"ok":true}`},
|
||||
{name: "arbitrary array is stringified", output: []any{"ok"}, wantOutput: `["ok"]`},
|
||||
{name: "empty array is stringified", output: []any{}, wantOutput: `[]`},
|
||||
{name: "mixed array is stringified", output: []any{map[string]any{"type": "input_text", "text": "ok"}, "bad"}, wantOutput: `[{"text":"ok","type":"input_text"},"bad"]`},
|
||||
{name: "unknown content type is stringified", output: []any{map[string]any{"type": "output_text", "text": "bad"}}, wantOutput: `[{"text":"bad","type":"output_text"}]`},
|
||||
{name: "whitespace-padded content type is stringified", output: []any{map[string]any{"type": " input_text ", "text": "bad"}}, wantOutput: `[{"text":"bad","type":" input_text "}]`},
|
||||
{name: "missing content type is stringified", output: []any{map[string]any{"text": "bad"}}, wantOutput: `[{"text":"bad"}]`},
|
||||
{name: "non-string content type is stringified", output: []any{map[string]any{"type": 1}}, wantOutput: `[{"type":1}]`},
|
||||
}
|
||||
|
||||
for _, tc := range tests {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
req := map[string]any{
|
||||
"tools": []any{map[string]any{"type": "custom", "name": "exec"}},
|
||||
"input": []any{map[string]any{
|
||||
"type": "custom_tool_call_output", "call_id": "call_1", "output": tc.output,
|
||||
}},
|
||||
}
|
||||
|
||||
_, changed, err := AdaptResponsesClientTools(req)
|
||||
require.NoError(t, err)
|
||||
require.True(t, changed)
|
||||
item := requireResponsesClientToolValue[map[string]any](t, requireResponsesClientToolValue[[]any](t, req["input"])[0])
|
||||
require.Equal(t, "function_call_output", item["type"])
|
||||
require.Equal(t, tc.wantOutput, item["output"])
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func TestAdaptResponsesClientToolsWithInheritedMapping_PromotesOmittedToolsDiscoveryIntoEffectiveDeclarations(t *testing.T) {
|
||||
|
||||
@@ -0,0 +1,166 @@
|
||||
package apicompat
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"testing"
|
||||
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
// issue #5601:严格的 Responses 客户端(Rust serde 系,如 Codex / Grok CLI)把
|
||||
// created_at 声明为必填字段,缺失即 `missing field 'created_at'` 反序列化失败。
|
||||
// 网关合成的 Responses 对象(Chat→Responses、Anthropic→Responses 两座桥)此前从不
|
||||
// 写这个字段——尽管两个流式 state 早就采集好了 Created 时间戳,只是没有出口。
|
||||
// 原生 Responses 透传走 gjson/sjson 字节级改写,不受影响。
|
||||
|
||||
// responseObjectOf 取出事件里的 response 子对象(按线格式,而不是按 Go 结构体)。
|
||||
func responseObjectOf(t *testing.T, evt ResponsesStreamEvent) map[string]any {
|
||||
t.Helper()
|
||||
m := marshalEvent(t, evt)
|
||||
resp, ok := m["response"].(map[string]any)
|
||||
require.True(t, ok, "event must carry a response object: %v", m)
|
||||
return resp
|
||||
}
|
||||
|
||||
func requireCreatedAt(t *testing.T, resp map[string]any) int64 {
|
||||
t.Helper()
|
||||
raw, ok := resp["created_at"]
|
||||
require.True(t, ok, "response 对象必须带 created_at,否则严格客户端直接反序列化失败")
|
||||
value, ok := raw.(float64)
|
||||
require.True(t, ok, "created_at 必须是数字,得到 %T", raw)
|
||||
require.Greater(t, int64(value), int64(0), "created_at 必须是有效的 unix 时间戳")
|
||||
return int64(value)
|
||||
}
|
||||
|
||||
// omitempty 陷阱守卫:created_at 为 0 时也必须出现在线格式里,
|
||||
// 否则「字段存在」这件事就依赖于运行时恰好非零。
|
||||
func TestWire_CreatedAtPresentEvenAtZero(t *testing.T) {
|
||||
resp := responseObjectOf(t, ResponsesStreamEvent{
|
||||
Type: "response.created",
|
||||
Response: &ResponsesResponse{ID: "resp_1", Object: "response", Status: "in_progress"},
|
||||
})
|
||||
require.Contains(t, resp, "created_at", "created_at 不得带 omitempty")
|
||||
require.EqualValues(t, 0, resp["created_at"])
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Chat Completions → Responses
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
func TestChatCompletionsResponseToResponses_CarriesCreatedAt(t *testing.T) {
|
||||
t.Run("uses_upstream_created_when_present", func(t *testing.T) {
|
||||
out := ChatCompletionsResponseToResponses(&ChatCompletionsResponse{
|
||||
ID: "chatcmpl_1",
|
||||
Created: 1700000000,
|
||||
Model: "deepseek-v4-flash",
|
||||
Choices: []ChatChoice{{Message: ChatMessage{Role: "assistant", Content: json.RawMessage(`"hi"`)}}},
|
||||
}, "deepseek-v4-flash", nil, nil, false, nil)
|
||||
require.EqualValues(t, 1700000000, out.CreatedAt, "上游给了 created 就照搬,不要另起时间")
|
||||
})
|
||||
|
||||
t.Run("stamps_now_when_upstream_omits_created", func(t *testing.T) {
|
||||
out := ChatCompletionsResponseToResponses(&ChatCompletionsResponse{
|
||||
ID: "chatcmpl_2",
|
||||
Model: "deepseek-v4-flash",
|
||||
Choices: []ChatChoice{{Message: ChatMessage{Role: "assistant", Content: json.RawMessage(`"hi"`)}}},
|
||||
}, "deepseek-v4-flash", nil, nil, false, nil)
|
||||
require.Greater(t, out.CreatedAt, int64(0))
|
||||
})
|
||||
|
||||
t.Run("nil_upstream_response_still_stamps", func(t *testing.T) {
|
||||
out := ChatCompletionsResponseToResponses(nil, "deepseek-v4-flash", nil, nil, false, nil)
|
||||
require.Greater(t, out.CreatedAt, int64(0), "空上游响应也必须产出可解析的对象")
|
||||
})
|
||||
}
|
||||
|
||||
// 同一条流里 response.created 与终止事件必须报同一个 created_at
|
||||
// (官方语义:created_at 是这次 response 的创建时刻,不随事件变化)。
|
||||
func TestChatCompletionsToResponsesStream_CreatedAtStableAcrossEvents(t *testing.T) {
|
||||
state := NewChatCompletionsToResponsesStreamState("deepseek-v4-flash")
|
||||
require.Greater(t, state.Created, int64(0), "前提:state 早就采集了时间戳")
|
||||
|
||||
var chunk ChatCompletionsChunk
|
||||
require.NoError(t, json.Unmarshal(
|
||||
[]byte(`{"choices":[{"index":0,"delta":{"content":"hi"}}]}`), &chunk))
|
||||
|
||||
events := ChatCompletionsChunkToResponsesEvents(&chunk, state)
|
||||
events = append(events, FinalizeChatCompletionsResponsesStream(state)...)
|
||||
|
||||
seen := map[string]int64{}
|
||||
for _, evt := range events {
|
||||
if evt.Response == nil {
|
||||
continue
|
||||
}
|
||||
seen[evt.Type] = requireCreatedAt(t, responseObjectOf(t, evt))
|
||||
}
|
||||
|
||||
require.Contains(t, seen, "response.created")
|
||||
require.Contains(t, seen, "response.completed")
|
||||
require.Equal(t, state.Created, seen["response.created"])
|
||||
require.Equal(t, seen["response.created"], seen["response.completed"],
|
||||
"同一条流的 created_at 必须恒定")
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Anthropic → Responses
|
||||
// ---------------------------------------------------------------------------
|
||||
|
||||
func TestAnthropicToResponsesResponse_StampsCreatedAt(t *testing.T) {
|
||||
out := AnthropicToResponsesResponse(&AnthropicResponse{
|
||||
ID: "msg_1",
|
||||
Type: "message",
|
||||
Role: "assistant",
|
||||
Model: "claude-sonnet-4-20250514",
|
||||
Content: []AnthropicContentBlock{{Type: "text", Text: "hi"}},
|
||||
})
|
||||
require.Greater(t, out.CreatedAt, int64(0),
|
||||
"Anthropic 响应不带时间戳,网关必须自己盖一个")
|
||||
}
|
||||
|
||||
func TestAnthropicEventToResponsesStream_CreatedAtStableAcrossEvents(t *testing.T) {
|
||||
state := NewAnthropicEventToResponsesState()
|
||||
state.Model = "claude-sonnet-4-20250514"
|
||||
require.Greater(t, state.Created, int64(0), "前提:state 早就采集了时间戳")
|
||||
|
||||
var events []ResponsesStreamEvent
|
||||
for _, raw := range []string{
|
||||
`{"type":"message_start","message":{"id":"msg_1","type":"message","role":"assistant","model":"claude-sonnet-4-20250514","content":[],"usage":{"input_tokens":3,"output_tokens":0}}}`,
|
||||
`{"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}`,
|
||||
`{"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"hi"}}`,
|
||||
`{"type":"content_block_stop","index":0}`,
|
||||
`{"type":"message_delta","delta":{"stop_reason":"end_turn"},"usage":{"output_tokens":2}}`,
|
||||
`{"type":"message_stop"}`,
|
||||
} {
|
||||
var evt AnthropicStreamEvent
|
||||
require.NoError(t, json.Unmarshal([]byte(raw), &evt))
|
||||
events = append(events, AnthropicEventToResponsesEvents(&evt, state)...)
|
||||
}
|
||||
events = append(events, FinalizeAnthropicResponsesStream(state)...)
|
||||
|
||||
seen := map[string]int64{}
|
||||
for _, evt := range events {
|
||||
if evt.Response == nil {
|
||||
continue
|
||||
}
|
||||
seen[evt.Type] = requireCreatedAt(t, responseObjectOf(t, evt))
|
||||
}
|
||||
|
||||
require.Contains(t, seen, "response.created")
|
||||
require.Contains(t, seen, "response.completed")
|
||||
require.Equal(t, state.Created, seen["response.created"])
|
||||
require.Equal(t, seen["response.created"], seen["response.completed"],
|
||||
"同一条流的 created_at 必须恒定")
|
||||
}
|
||||
|
||||
// ResponsesClientToolStreamRestorer 对部分事件走 unmarshal→re-marshal。
|
||||
// 结构体没有该字段时,上游带来的 created_at 会在这一步被静默抹掉。
|
||||
func TestResponsesStreamEvent_CreatedAtSurvivesUnmarshalRemarshal(t *testing.T) {
|
||||
upstream := []byte(`{"type":"response.completed","response":{"id":"resp_9","object":"response",` +
|
||||
`"created_at":1700000123,"model":"gpt-5.5","status":"completed","output":[]}}`)
|
||||
|
||||
var evt ResponsesStreamEvent
|
||||
require.NoError(t, json.Unmarshal(upstream, &evt))
|
||||
require.EqualValues(t, 1700000123, evt.Response.CreatedAt)
|
||||
|
||||
require.EqualValues(t, 1700000123, requireCreatedAt(t, responseObjectOf(t, evt)))
|
||||
}
|
||||
@@ -358,8 +358,13 @@ func (t *ResponsesTool) UnmarshalJSON(data []byte) error {
|
||||
|
||||
// ResponsesResponse is the non-streaming response from POST /v1/responses.
|
||||
type ResponsesResponse struct {
|
||||
ID string `json:"id"`
|
||||
Object string `json:"object"` // "response"
|
||||
ID string `json:"id"`
|
||||
Object string `json:"object"` // "response"
|
||||
// CreatedAt is the unix creation timestamp. Strict Responses clients declare
|
||||
// it non-optional and abort with `missing field 'created_at'` when it is
|
||||
// absent, so it is always emitted — no omitempty. Same rule as ID (see the
|
||||
// "clients treat it as required" fallback in ChatCompletionsResponseToAnthropic).
|
||||
CreatedAt int64 `json:"created_at"`
|
||||
Model string `json:"model"`
|
||||
Status string `json:"status"` // "completed" | "incomplete" | "failed"
|
||||
Output []ResponsesOutput `json:"output"`
|
||||
|
||||
@@ -133,6 +133,17 @@ func (s *OpenAIGatewayService) handleOpenAIAccountUpstreamError(ctx context.Cont
|
||||
return false
|
||||
}
|
||||
|
||||
// Self-built images requests always carry a matching image_generation tool, so a
|
||||
// "tool choice not found in 'tools'" 400 means upstream revoked this account's
|
||||
// image capability. Gated on the self-built marker: passthrough clients control
|
||||
// their own tools/tool_choice and could otherwise poison a healthy account.
|
||||
if isOpenAIImagesSelfBuiltRequest(ctx) && isOpenAIImageCapabilityLossError(statusCode, responseBody) {
|
||||
if s != nil && s.rateLimitService != nil {
|
||||
_ = s.rateLimitService.HandleOpenAIImageCapabilityLoss(stateCtx, account, statusCode, responseBody)
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
||||
if s == nil || account == nil {
|
||||
return false
|
||||
}
|
||||
|
||||
@@ -6,6 +6,7 @@ import (
|
||||
"net/http"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/google/uuid"
|
||||
@@ -117,8 +118,11 @@ func writeOpenAICompactSSEFailureMessage(c *gin.Context, statusCode int, errType
|
||||
"response": map[string]any{
|
||||
"id": "resp_" + strings.ReplaceAll(uuid.NewString(), "-", ""),
|
||||
"object": "response",
|
||||
"status": "failed",
|
||||
"output": []any{},
|
||||
// 严格客户端把 created_at 当必填字段,缺失会反序列化失败,
|
||||
// 终止事件就白发了(退化成盲重连)。与 writeResponsesFailedSSE 对齐。
|
||||
"created_at": time.Now().Unix(),
|
||||
"status": "failed",
|
||||
"output": []any{},
|
||||
"error": map[string]any{
|
||||
"code": errType,
|
||||
"message": message,
|
||||
|
||||
@@ -0,0 +1,49 @@
|
||||
//go:build unit
|
||||
|
||||
package service
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"net/http"
|
||||
"net/http/httptest"
|
||||
"strings"
|
||||
"testing"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
// issue #5601:严格的 Responses 客户端把 created_at 当必填字段,缺失即
|
||||
// `missing field 'created_at'`。writeOpenAICompactSSEFailureMessage 存在的理由就是
|
||||
// 让 Codex 能把这帧识别成合法终止事件;解析不了就退化回它想避免的盲重连。
|
||||
func TestWriteOpenAICompactSSEFailureMessage_CarriesCreatedAt(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
rec := httptest.NewRecorder()
|
||||
c, _ := gin.CreateTestContext(rec)
|
||||
c.Request = httptest.NewRequest(http.MethodPost, "/v1/responses", nil)
|
||||
|
||||
writeOpenAICompactSSEFailureMessage(c, http.StatusBadGateway, "upstream_error", "boom")
|
||||
|
||||
body := rec.Body.String()
|
||||
require.Contains(t, body, "event: response.failed")
|
||||
|
||||
_, payload, found := strings.Cut(body, "data: ")
|
||||
require.True(t, found, "SSE 帧必须带 data 行: %q", body)
|
||||
|
||||
var event struct {
|
||||
Type string `json:"type"`
|
||||
Response struct {
|
||||
ID string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
CreatedAt int64 `json:"created_at"`
|
||||
Status string `json:"status"`
|
||||
} `json:"response"`
|
||||
}
|
||||
require.NoError(t, json.Unmarshal([]byte(strings.TrimSpace(payload)), &event))
|
||||
|
||||
require.Equal(t, "response.failed", event.Type)
|
||||
require.Equal(t, "response", event.Response.Object)
|
||||
require.Equal(t, "failed", event.Response.Status)
|
||||
require.Greater(t, event.Response.CreatedAt, int64(0),
|
||||
"response.failed 必须带有效的 created_at,否则严格客户端读不出这帧")
|
||||
}
|
||||
@@ -121,7 +121,7 @@ func (s *OpenAIGatewayService) Forward(ctx context.Context, c *gin.Context, acco
|
||||
}
|
||||
if shouldStripOpenAIResponsesInputNamespaces(account, wsDecision.Transport, passthroughEnabled) {
|
||||
keepToolCallNamespaces := shouldKeepOpenAIResponsesToolCallNamespaces(
|
||||
account, wsDecision.Transport, passthroughEnabled, compactPath,
|
||||
account, wsDecision.Transport, passthroughEnabled, compactPath, body,
|
||||
)
|
||||
body, err = stripOpenAIResponsesInputNamespaces(body, keepToolCallNamespaces)
|
||||
if err != nil {
|
||||
@@ -182,6 +182,17 @@ func (s *OpenAIGatewayService) Forward(ctx context.Context, c *gin.Context, acco
|
||||
return s.forwardResponsesViaRawChatCompletions(ctx, c, account, body)
|
||||
}
|
||||
if account.IsOpenAI() && (account.IsOpenAIApiKey() || account.IsOpenAIOAuthLike()) {
|
||||
normalizedReasoningBody, reasoningChanged, reasoningErr := normalizeOpenAIResponsesReasoningContentReplay(body)
|
||||
if reasoningErr != nil {
|
||||
return nil, fmt.Errorf("normalize OpenAI Responses reasoning content replay: %w", reasoningErr)
|
||||
}
|
||||
if reasoningChanged {
|
||||
body = normalizedReasoningBody
|
||||
originalBody = normalizedReasoningBody
|
||||
requestView = newOpenAIRequestView(normalizedReasoningBody)
|
||||
reqModel, reqStream, promptCacheKey = requestView.Model, requestView.Stream, requestView.PromptCacheKey
|
||||
originalModel = reqModel
|
||||
}
|
||||
sanitizedBody, changed, sanitizeErr := sanitizeOpenAIResponsesInputItemIDs(body)
|
||||
if sanitizeErr != nil {
|
||||
return nil, fmt.Errorf("sanitize OpenAI Responses input item IDs: %w", sanitizeErr)
|
||||
@@ -472,13 +483,29 @@ func (s *OpenAIGatewayService) Forward(ctx context.Context, c *gin.Context, acco
|
||||
if decodeErr != nil {
|
||||
return nil, decodeErr
|
||||
}
|
||||
// Responses OAuth 与 Chat 兼容入口保持一致:纯文本 system 可以无损提升后删除,
|
||||
// JSON object 模式仍需在 input 中保留 JSON 指令供上游兼容校验。
|
||||
omitPromotedSystemMessages := !strings.EqualFold(
|
||||
strings.TrimSpace(gjson.GetBytes(body, "text.format.type").String()),
|
||||
"json_object",
|
||||
)
|
||||
codexResult := codexTransformResult{}
|
||||
if compatMessagesBridge {
|
||||
codexResult = applyCodexOAuthTransformWithOptions(decoded, codexOAuthTransformOptions{IsCodexCLI: isCodexCLI, IsCompact: isCompactRequest, SkipDefaultInstructions: true, PreserveToolCallIDs: true})
|
||||
codexResult = applyCodexOAuthTransformWithOptions(decoded, codexOAuthTransformOptions{
|
||||
IsCodexCLI: isCodexCLI,
|
||||
IsCompact: isCompactRequest,
|
||||
SkipDefaultInstructions: true,
|
||||
PreserveToolCallIDs: true,
|
||||
OmitPromotedSystemMessagesFromInput: omitPromotedSystemMessages,
|
||||
})
|
||||
ensureCodexOAuthInstructionsField(decoded)
|
||||
markDecodedModified()
|
||||
} else {
|
||||
codexResult = applyCodexOAuthTransform(decoded, isCodexCLI, isCompactRequest)
|
||||
codexResult = applyCodexOAuthTransformWithOptions(decoded, codexOAuthTransformOptions{
|
||||
IsCodexCLI: isCodexCLI,
|
||||
IsCompact: isCompactRequest,
|
||||
OmitPromotedSystemMessagesFromInput: omitPromotedSystemMessages,
|
||||
})
|
||||
}
|
||||
if codexResult.Error != nil {
|
||||
c.JSON(http.StatusBadRequest, gin.H{"error": gin.H{"type": "invalid_request_error", "message": codexResult.Error.Error()}})
|
||||
|
||||
@@ -458,6 +458,67 @@ func openAIRequestBodyHasTools(body []byte) bool {
|
||||
return false
|
||||
}
|
||||
|
||||
// normalizeOpenAIResponsesReasoningContentReplay removes non-portable
|
||||
// reasoning.content arrays before history is sent to a real OpenAI Responses
|
||||
// endpoint. Compatible providers may return visible reasoning blocks there,
|
||||
// while OpenAI accepts only an empty array when the item is replayed.
|
||||
//
|
||||
// Keep the reasoning item and its portable fields (summary, encrypted_content,
|
||||
// ids, and opaque extensions). Callers scope this normalization to OpenAI
|
||||
// destinations; compatible providers may still consume their own content.
|
||||
func normalizeOpenAIResponsesReasoningContentReplay(body []byte) ([]byte, bool, error) {
|
||||
input := gjson.GetBytes(body, "input")
|
||||
if !input.IsArray() {
|
||||
return body, false, nil
|
||||
}
|
||||
|
||||
needsNormalization := false
|
||||
input.ForEach(func(_, item gjson.Result) bool {
|
||||
if strings.TrimSpace(item.Get("type").String()) != "reasoning" {
|
||||
return true
|
||||
}
|
||||
content := item.Get("content")
|
||||
if content.IsArray() && len(content.Array()) > 0 {
|
||||
needsNormalization = true
|
||||
return false
|
||||
}
|
||||
return true
|
||||
})
|
||||
if !needsNormalization {
|
||||
return body, false, nil
|
||||
}
|
||||
|
||||
var reqBody map[string]any
|
||||
if err := decodeOpenAIJSONUseNumber(body, &reqBody); err != nil {
|
||||
return body, false, fmt.Errorf("normalize OpenAI reasoning content replay: %w", err)
|
||||
}
|
||||
items, ok := reqBody["input"].([]any)
|
||||
if !ok {
|
||||
return body, false, nil
|
||||
}
|
||||
changed := false
|
||||
for _, rawItem := range items {
|
||||
item, ok := rawItem.(map[string]any)
|
||||
if !ok || strings.TrimSpace(firstNonEmptyString(item["type"])) != "reasoning" {
|
||||
continue
|
||||
}
|
||||
content, ok := item["content"].([]any)
|
||||
if !ok || len(content) == 0 {
|
||||
continue
|
||||
}
|
||||
delete(item, "content")
|
||||
changed = true
|
||||
}
|
||||
if !changed {
|
||||
return body, false, nil
|
||||
}
|
||||
normalized, err := marshalOpenAIUpstreamJSON(reqBody)
|
||||
if err != nil {
|
||||
return body, false, fmt.Errorf("serialize normalized OpenAI reasoning content replay: %w", err)
|
||||
}
|
||||
return normalized, true, nil
|
||||
}
|
||||
|
||||
func normalizeOpenAIAPIKeyStoreFalseReasoningReplay(body []byte, knownStoreFalse bool) ([]byte, bool, error) {
|
||||
if !knownStoreFalse && gjson.GetBytes(body, "store").Type != gjson.False {
|
||||
return body, false, nil
|
||||
@@ -1018,6 +1079,12 @@ func normalizeOpenAIResponsesWebSocketCompatibilityBody(body []byte, account *Ac
|
||||
return body, false, err
|
||||
}
|
||||
}
|
||||
if next, normalizedReasoningContent, err := normalizeOpenAIResponsesReasoningContentReplay(normalized); err != nil {
|
||||
return body, false, err
|
||||
} else if normalizedReasoningContent {
|
||||
normalized = next
|
||||
changed = true
|
||||
}
|
||||
if account.IsOpenAIApiKey() {
|
||||
if next, normalizedParallel, err := normalizeOpenAIParallelToolCallsWithoutTools(normalized, responsesLite); err != nil {
|
||||
return body, false, err
|
||||
|
||||
@@ -353,3 +353,60 @@ func TestNormalizeOpenAIParallelToolCallsWithoutTools_KeepsResponsesLiteAddition
|
||||
require.False(t, changed)
|
||||
require.Equal(t, gjson.False, gjson.GetBytes(normalized, "parallel_tool_calls").Type)
|
||||
}
|
||||
|
||||
func TestNormalizeOpenAIResponsesReasoningContentReplayStripsCrossProviderArray(t *testing.T) {
|
||||
body := []byte(`{"model":"gpt-5.6-sol","input":[` +
|
||||
`{"type":"message","role":"user","content":"one"},` +
|
||||
`{"type":"message","role":"assistant","content":"two"},` +
|
||||
`{"type":"function_call","call_id":"call_1","name":"lookup","arguments":"{}"},` +
|
||||
`{"type":"function_call_output","call_id":"call_1","output":"ok"},` +
|
||||
`{"type":"message","role":"user","content":"five"},` +
|
||||
`{"type":"reasoning","id":"rs_provider","summary":[{"type":"summary_text","text":"portable"}],"content":[{"type":"reasoning_text","text":"visible reasoning"}],"opaque":9007199254740993},` +
|
||||
`{"type":"message","role":"assistant","content":[{"type":"output_text","text":"answer"}]}` +
|
||||
`]}`)
|
||||
|
||||
normalized, changed, err := normalizeOpenAIResponsesReasoningContentReplay(body)
|
||||
|
||||
require.NoError(t, err)
|
||||
require.True(t, changed)
|
||||
require.Equal(t, "reasoning", gjson.GetBytes(normalized, "input.5.type").String())
|
||||
require.False(t, gjson.GetBytes(normalized, "input.5.content").Exists())
|
||||
require.Equal(t, "portable", gjson.GetBytes(normalized, "input.5.summary.0.text").String())
|
||||
require.Equal(t, "9007199254740993", gjson.GetBytes(normalized, "input.5.opaque").Raw)
|
||||
require.Equal(t, "answer", gjson.GetBytes(normalized, "input.6.content.0.text").String())
|
||||
}
|
||||
|
||||
func TestNormalizeOpenAIResponsesReasoningContentReplayKeepsPortableShapes(t *testing.T) {
|
||||
for _, body := range []string{
|
||||
`{"input":[{"type":"reasoning","summary":[]}]}`,
|
||||
`{"input":[{"type":"reasoning","content":[],"summary":[]}]}`,
|
||||
`{"input":[{"type":"message","content":[{"type":"input_text","text":"keep"}]}]}`,
|
||||
} {
|
||||
normalized, changed, err := normalizeOpenAIResponsesReasoningContentReplay([]byte(body))
|
||||
require.NoError(t, err)
|
||||
require.False(t, changed)
|
||||
require.JSONEq(t, body, string(normalized))
|
||||
}
|
||||
}
|
||||
|
||||
func TestNormalizeOpenAIResponsesWebSocketCompatibilityBodyStripsReasoningContentOnlyForOpenAI(t *testing.T) {
|
||||
body := []byte(`{"type":"response.create","model":"gpt-5.6-sol","store":true,"input":[{"type":"reasoning","summary":[{"type":"summary_text","text":"keep"}],"content":[{"type":"reasoning_text","text":"remove"}]}]}`)
|
||||
for _, accountType := range []string{AccountTypeAPIKey, AccountTypeOAuth} {
|
||||
normalized, changed, err := normalizeOpenAIResponsesWebSocketCompatibilityBody(body, &Account{
|
||||
Platform: PlatformOpenAI,
|
||||
Type: accountType,
|
||||
}, false)
|
||||
require.NoError(t, err)
|
||||
require.True(t, changed)
|
||||
require.False(t, gjson.GetBytes(normalized, "input.0.content").Exists())
|
||||
require.Equal(t, "keep", gjson.GetBytes(normalized, "input.0.summary.0.text").String())
|
||||
}
|
||||
|
||||
normalized, changed, err := normalizeOpenAIResponsesWebSocketCompatibilityBody(body, &Account{
|
||||
Platform: PlatformZhipu,
|
||||
Type: AccountTypeAPIKey,
|
||||
}, false)
|
||||
require.NoError(t, err)
|
||||
require.False(t, changed)
|
||||
require.JSONEq(t, string(body), string(normalized))
|
||||
}
|
||||
|
||||
@@ -250,6 +250,34 @@ func TestOpenAIPassthroughAPIKeyRestoresClientToolsNonStreaming(t *testing.T) {
|
||||
require.Equal(t, "*** Begin Patch", gjson.Get(recorder.Body.String(), "output.1.input").String())
|
||||
}
|
||||
|
||||
func TestOpenAIPassthroughAPIKeyPreservesCustomToolOutputContentParts(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
body := []byte(`{"model":"gpt-5.4","stream":false,"tools":[{"type":"custom","name":"exec"}],"input":[{"type":"custom_tool_call_output","call_id":"call_1","output":[{"type":"input_text","text":"result"},{"type":"input_file","file_id":"file_123"}]}]}`)
|
||||
recorder := httptest.NewRecorder()
|
||||
c, _ := gin.CreateTestContext(recorder)
|
||||
c.Request = httptest.NewRequest(http.MethodPost, "/v1/responses", bytes.NewReader(body))
|
||||
|
||||
upstream := &httpUpstreamRecorder{resp: &http.Response{
|
||||
StatusCode: http.StatusOK,
|
||||
Header: http.Header{"Content-Type": []string{"application/json"}},
|
||||
Body: io.NopCloser(strings.NewReader(`{"id":"resp_tools","status":"completed","output":[],"usage":{}}`)),
|
||||
}}
|
||||
svc := openAIClientToolsTestService(upstream)
|
||||
account := &Account{ID: 6240, Platform: PlatformOpenAI, Type: AccountTypeAPIKey, Credentials: map[string]any{"api_key": "test-key"}}
|
||||
|
||||
result, err := svc.forwardOpenAIPassthrough(context.Background(), c, account, body, body, "gpt-5.4", false, nil, false, time.Now())
|
||||
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, result)
|
||||
require.Equal(t, "function_call_output", gjson.GetBytes(upstream.lastBody, "input.0.type").String())
|
||||
output := gjson.GetBytes(upstream.lastBody, "input.0.output")
|
||||
require.True(t, output.IsArray(), "native Responses content parts must reach the upstream as an array")
|
||||
require.Equal(t, "input_text", output.Get("0.type").String())
|
||||
require.Equal(t, "result", output.Get("0.text").String())
|
||||
require.Equal(t, "input_file", output.Get("1.type").String())
|
||||
require.Equal(t, "file_123", output.Get("1.file_id").String())
|
||||
}
|
||||
|
||||
func TestOpenAIPassthroughAPIKeyRestoresClientToolsStreaming(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
body := openAIClientToolsRequest(true)
|
||||
|
||||
@@ -37,6 +37,13 @@ type OpenAIImagesUpstreamError struct {
|
||||
Message string
|
||||
Param string
|
||||
UpstreamRequestID string
|
||||
|
||||
// SynthesizedFromModelText marks an error the gateway inferred from the
|
||||
// model's plain-text output instead of reading it off a structured upstream
|
||||
// error frame. Such a verdict describes this one turn ("the model answered
|
||||
// with words instead of an image"), not the account — see
|
||||
// shouldCoolOpenAIImagesToolForError.
|
||||
SynthesizedFromModelText bool
|
||||
}
|
||||
|
||||
func (e *OpenAIImagesUpstreamError) Error() string {
|
||||
@@ -328,6 +335,26 @@ func openAIImageUploadToDataURL(upload OpenAIImagesUpload) (string, error) {
|
||||
return "data:" + contentType + ";base64," + base64.StdEncoding.EncodeToString(upload.Data), nil
|
||||
}
|
||||
|
||||
// openAIImagesSelfBuiltRequestContextKey marks a request whose upstream body was
|
||||
// fully constructed by buildOpenAIImagesResponsesRequest, i.e. tool_choice and the
|
||||
// matching image_generation tool are always both present and never client-controlled.
|
||||
type openAIImagesSelfBuiltRequestContextKey struct{}
|
||||
|
||||
func withOpenAIImagesSelfBuiltRequest(ctx context.Context) context.Context {
|
||||
if ctx == nil {
|
||||
ctx = context.Background()
|
||||
}
|
||||
return context.WithValue(ctx, openAIImagesSelfBuiltRequestContextKey{}, true)
|
||||
}
|
||||
|
||||
func isOpenAIImagesSelfBuiltRequest(ctx context.Context) bool {
|
||||
if ctx == nil {
|
||||
return false
|
||||
}
|
||||
selfBuilt, _ := ctx.Value(openAIImagesSelfBuiltRequestContextKey{}).(bool)
|
||||
return selfBuilt
|
||||
}
|
||||
|
||||
func buildOpenAIImagesResponsesRequest(parsed *OpenAIImagesRequest, toolModel string) ([]byte, error) {
|
||||
if parsed == nil {
|
||||
return nil, fmt.Errorf("parsed images request is required")
|
||||
@@ -711,6 +738,10 @@ func openAIImagesTextFallbackErrorForText(text string) *OpenAIImagesUpstreamErro
|
||||
ErrorType: "upstream_error",
|
||||
Code: "image_generation_unavailable",
|
||||
Message: "Upstream did not execute image generation",
|
||||
// Inferred from the model's own words, not from an upstream error frame:
|
||||
// good enough to fail this turn over to another account, not evidence that
|
||||
// this account's image tool is down for the next 30 minutes.
|
||||
SynthesizedFromModelText: true,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1775,6 +1806,7 @@ func (s *OpenAIGatewayService) forwardOpenAIImagesOAuth(
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
upstreamCtx = withOpenAIImagesSelfBuiltRequest(upstreamCtx)
|
||||
upstreamReq, err := s.buildUpstreamRequest(upstreamCtx, c, account, responsesBody, token, true, parsed.StickySessionSeed(), false)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
@@ -1922,6 +1954,26 @@ const (
|
||||
openAIImagesOAuthUnavailableReason = "openai_images_oauth_tool_unavailable"
|
||||
)
|
||||
|
||||
// shouldCoolOpenAIImagesToolForError decides whether an image_generation_unavailable
|
||||
// verdict is durable enough to park the account's image tool for
|
||||
// openAIImagesOAuthUnavailableCooldown.
|
||||
//
|
||||
// Only an upstream error frame that names the condition qualifies. A verdict the
|
||||
// gateway synthesized from the model's plain-text reply does not: it merely says
|
||||
// this prompt produced words instead of an image, which is prompt-dependent and
|
||||
// happens on healthy accounts. Writing a 30-minute account-level cooldown from it
|
||||
// is doubly wrong because the very same error is classified retryable
|
||||
// (IsOpenAIImagesRetryableUpstreamError: status >= 500) and drives
|
||||
// newOpenAIAccountFailoverError — so one such reply walks the pool and cools every
|
||||
// account the retry touches.
|
||||
//
|
||||
// This mirrors the rule the alpha/search path already states in words: a
|
||||
// tool-endpoint failure "仍允许本次请求换号,但不修改任何账号状态"
|
||||
// (see shouldApplyOpenAIAlphaSearchAccountErrorSideEffects).
|
||||
func shouldCoolOpenAIImagesToolForError(upstreamErr *OpenAIImagesUpstreamError) bool {
|
||||
return upstreamErr != nil && !upstreamErr.SynthesizedFromModelText
|
||||
}
|
||||
|
||||
func (s *OpenAIGatewayService) coolOpenAIImagesOAuthTool(ctx context.Context, account *Account) {
|
||||
if s == nil || s.accountRepo == nil || account == nil || account.Platform != PlatformOpenAI {
|
||||
return
|
||||
@@ -2017,7 +2069,9 @@ func (s *OpenAIGatewayService) handleOpenAIImagesOAuthResponseError(
|
||||
|
||||
responseBody := openAIImagesUpstreamErrorResponseBody(upstreamErr)
|
||||
if upstreamErr.Code == "image_generation_unavailable" {
|
||||
s.coolOpenAIImagesOAuthTool(ctx, account)
|
||||
if shouldCoolOpenAIImagesToolForError(upstreamErr) {
|
||||
s.coolOpenAIImagesOAuthTool(ctx, account)
|
||||
}
|
||||
if responseWritten {
|
||||
return err
|
||||
}
|
||||
|
||||
@@ -0,0 +1,177 @@
|
||||
//go:build unit
|
||||
|
||||
package service
|
||||
|
||||
import (
|
||||
"context"
|
||||
"errors"
|
||||
"net/http"
|
||||
"net/http/httptest"
|
||||
"testing"
|
||||
"time"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/stretchr/testify/require"
|
||||
)
|
||||
|
||||
// issue #6171:v0.1.181 起,/v1/images/generations 只要上游"回文字没回图",账号就被
|
||||
// 写 30 分钟 openai:image_generation 模型级冷却。该判据是**请求级**的(这个 prompt
|
||||
// 这一轮模型选择了说话),却被当成**账号级**能力失效;又因为同一个错误被判为
|
||||
// 可重试(502)并驱动 failover,一次闲聊回复会沿着号池逐个把账号冷却掉。
|
||||
|
||||
// countingModelRateLimitRepo 记录 SetModelRateLimit 调用,用于断言"没写账号状态"。
|
||||
type countingModelRateLimitRepo struct {
|
||||
accountRepoStub
|
||||
calls int
|
||||
scopes []string
|
||||
}
|
||||
|
||||
func (r *countingModelRateLimitRepo) SetModelRateLimit(_ context.Context, _ int64, scope string, _ time.Time, _ ...string) error {
|
||||
r.calls++
|
||||
r.scopes = append(r.scopes, scope)
|
||||
return nil
|
||||
}
|
||||
|
||||
func newImagesCooldownContext(t *testing.T) (*gin.Context, *httptest.ResponseRecorder) {
|
||||
t.Helper()
|
||||
gin.SetMode(gin.TestMode)
|
||||
rec := httptest.NewRecorder()
|
||||
c, _ := gin.CreateTestContext(rec)
|
||||
c.Request = httptest.NewRequest(http.MethodPost, "/v1/images/generations", nil)
|
||||
return c, rec
|
||||
}
|
||||
|
||||
func imagesCooldownAccount() *Account {
|
||||
return &Account{ID: 77, Platform: PlatformOpenAI, Type: AccountTypeOAuth, Name: "img-oauth"}
|
||||
}
|
||||
|
||||
func TestShouldCoolOpenAIImagesToolForError(t *testing.T) {
|
||||
cases := []struct {
|
||||
name string
|
||||
err *OpenAIImagesUpstreamError
|
||||
want bool
|
||||
}{
|
||||
{
|
||||
name: "nil_error",
|
||||
err: nil,
|
||||
want: false,
|
||||
},
|
||||
{
|
||||
// 网关从模型文字里推断出来的判据:只说明这一轮没出图。
|
||||
name: "synthesized_from_model_text",
|
||||
err: &OpenAIImagesUpstreamError{
|
||||
StatusCode: http.StatusBadGateway,
|
||||
Code: "image_generation_unavailable",
|
||||
SynthesizedFromModelText: true,
|
||||
},
|
||||
want: false,
|
||||
},
|
||||
{
|
||||
// 上游自己在 error 帧里点名该状态:这才是账号级证据,保持冷却。
|
||||
name: "structured_upstream_error_frame",
|
||||
err: &OpenAIImagesUpstreamError{
|
||||
StatusCode: http.StatusBadGateway,
|
||||
Code: "image_generation_unavailable",
|
||||
},
|
||||
want: true,
|
||||
},
|
||||
}
|
||||
|
||||
for _, tc := range cases {
|
||||
t.Run(tc.name, func(t *testing.T) {
|
||||
require.Equal(t, tc.want, shouldCoolOpenAIImagesToolForError(tc.err))
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
// 主复现:文字兜底判据不得写账号级冷却。
|
||||
func TestHandleOpenAIImagesOAuthResponseError_TextFallbackDoesNotCoolAccount(t *testing.T) {
|
||||
c, _ := newImagesCooldownContext(t)
|
||||
repo := &countingModelRateLimitRepo{}
|
||||
svc := &OpenAIGatewayService{accountRepo: repo}
|
||||
account := imagesCooldownAccount()
|
||||
|
||||
upstreamErr := openAIImagesTextFallbackErrorForText("Here's a polished image prompt for your request.")
|
||||
require.NotNil(t, upstreamErr)
|
||||
require.Equal(t, "image_generation_unavailable", upstreamErr.Code)
|
||||
|
||||
err := svc.handleOpenAIImagesOAuthResponseError(
|
||||
context.Background(), c, account, "gpt-image-2", "https://upstream.example/v1/responses",
|
||||
&http.Response{StatusCode: http.StatusOK, Header: http.Header{}},
|
||||
OpenAIImagesJSONKeepaliveAdjustedWrittenSize(c), upstreamErr,
|
||||
)
|
||||
|
||||
require.Zero(t, repo.calls, "模型闲聊不构成账号级证据,不得写 30 分钟冷却")
|
||||
|
||||
// 换号行为必须原样保留:本 PR 只撤销账号状态写入,不动 failover。
|
||||
var failover *UpstreamFailoverError
|
||||
require.True(t, errors.As(err, &failover), "仍应触发换号,got %T", err)
|
||||
}
|
||||
|
||||
// 对照不变式:上游 error 帧点名该状态时仍然冷却,否则等于把功能整个废掉。
|
||||
func TestHandleOpenAIImagesOAuthResponseError_StructuredUnavailableStillCoolsAccount(t *testing.T) {
|
||||
c, _ := newImagesCooldownContext(t)
|
||||
repo := &countingModelRateLimitRepo{}
|
||||
svc := &OpenAIGatewayService{accountRepo: repo}
|
||||
account := imagesCooldownAccount()
|
||||
|
||||
upstreamErr := &OpenAIImagesUpstreamError{
|
||||
StatusCode: http.StatusBadGateway,
|
||||
ErrorType: "upstream_error",
|
||||
Code: "image_generation_unavailable",
|
||||
Message: "image generation tool is not available for this account",
|
||||
}
|
||||
|
||||
_ = svc.handleOpenAIImagesOAuthResponseError(
|
||||
context.Background(), c, account, "gpt-image-2", "https://upstream.example/v1/responses",
|
||||
&http.Response{StatusCode: http.StatusOK, Header: http.Header{}},
|
||||
OpenAIImagesJSONKeepaliveAdjustedWrittenSize(c), upstreamErr,
|
||||
)
|
||||
|
||||
require.Equal(t, 1, repo.calls, "结构化上游证据仍须写冷却")
|
||||
require.Equal(t, []string{openAIImageGenerationRateLimitKey}, repo.scopes)
|
||||
}
|
||||
|
||||
// 标记必须打在文字兜底的两个入口上,且不影响违规拦截分支的判定。
|
||||
func TestOpenAIImagesTextFallback_MarksSynthesizedVerdicts(t *testing.T) {
|
||||
t.Run("plain_text_reply_is_synthesized", func(t *testing.T) {
|
||||
err := openAIImagesTextFallbackErrorForText("Here's a polished image prompt for your request.")
|
||||
require.NotNil(t, err)
|
||||
require.True(t, err.SynthesizedFromModelText)
|
||||
require.Equal(t, "image_generation_unavailable", err.Code)
|
||||
require.Equal(t, http.StatusBadGateway, err.StatusCode)
|
||||
})
|
||||
|
||||
t.Run("body_entrypoint_is_synthesized", func(t *testing.T) {
|
||||
body := []byte("event: response.completed\n" +
|
||||
`data: {"type":"response.completed","response":{"id":"r","status":"completed",` +
|
||||
`"output":[{"type":"message","content":[{"type":"output_text","text":"I drafted a prompt for you."}]}]}}` +
|
||||
"\n\n")
|
||||
err := openAIImagesTextFallbackError(body)
|
||||
require.NotNil(t, err)
|
||||
require.True(t, err.SynthesizedFromModelText)
|
||||
})
|
||||
|
||||
t.Run("content_policy_branch_unchanged", func(t *testing.T) {
|
||||
err := openAIImagesTextFallbackErrorForText("Blocked by our content policy.")
|
||||
require.NotNil(t, err)
|
||||
require.Equal(t, "content_policy_violation", err.Code)
|
||||
require.Equal(t, http.StatusBadRequest, err.StatusCode)
|
||||
// 该分支本来就不走冷却(Code 不匹配),标记与否都不改变行为;
|
||||
// 断言它没有被顺手打标,避免语义漂移。
|
||||
require.False(t, err.SynthesizedFromModelText)
|
||||
})
|
||||
|
||||
t.Run("empty_text_yields_no_error", func(t *testing.T) {
|
||||
require.Nil(t, openAIImagesTextFallbackErrorForText(" "))
|
||||
})
|
||||
}
|
||||
|
||||
// 级联的前提条件:该错误确实是可重试的,所以会带着"已写冷却"的副作用换号。
|
||||
// 这条用例把前提钉死,避免以后有人把 502 改成非重试后误以为本修复多余。
|
||||
func TestOpenAIImagesTextFallback_RemainsRetryableAndThusCascades(t *testing.T) {
|
||||
err := openAIImagesTextFallbackErrorForText("Here's a polished image prompt for your request.")
|
||||
require.NotNil(t, err)
|
||||
require.True(t, IsOpenAIImagesRetryableUpstreamError(err),
|
||||
"文字兜底判据是可重试的——正因如此,写账号冷却会沿号池级联")
|
||||
}
|
||||
@@ -132,6 +132,44 @@ func TestOpenAIGatewayService_ResponsesUnknownModelDoesNotFallbackToGPT54(t *tes
|
||||
require.True(t, rec.Code >= http.StatusBadRequest)
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayService_OAuthResponsesPromotesSystemMessageWithoutDuplication(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
|
||||
const systemPrompt = "Unique system prefix for Responses token accounting."
|
||||
const existingInstructions = "Existing instructions."
|
||||
body := []byte(`{"model":"gpt-5.4","stream":false,"instructions":"` + existingInstructions + `","input":[{"role":"system","content":"` + systemPrompt + `"},{"role":"user","content":"hello"}]}`)
|
||||
rec := httptest.NewRecorder()
|
||||
c, _ := gin.CreateTestContext(rec)
|
||||
c.Request = httptest.NewRequest(http.MethodPost, "/v1/responses", bytes.NewReader(body))
|
||||
c.Request.Header.Set("Content-Type", "application/json")
|
||||
|
||||
upstream := &httpUpstreamRecorder{err: errors.New("stop after capture")}
|
||||
svc := &OpenAIGatewayService{cfg: &config.Config{}, httpUpstream: upstream}
|
||||
account := &Account{
|
||||
ID: 124,
|
||||
Name: "openai-oauth",
|
||||
Platform: PlatformOpenAI,
|
||||
Type: AccountTypeOAuth,
|
||||
Concurrency: 1,
|
||||
Credentials: map[string]any{
|
||||
"access_token": "oauth-token",
|
||||
"chatgpt_account_id": "chatgpt-acc",
|
||||
},
|
||||
Status: StatusActive,
|
||||
Schedulable: true,
|
||||
}
|
||||
|
||||
result, err := svc.Forward(context.Background(), c, account, body)
|
||||
|
||||
require.Error(t, err)
|
||||
require.Nil(t, result)
|
||||
require.NotEmpty(t, upstream.lastBody)
|
||||
require.Equal(t, systemPrompt+"\n\n"+existingInstructions, gjson.GetBytes(upstream.lastBody, "instructions").String())
|
||||
require.Equal(t, int64(1), gjson.GetBytes(upstream.lastBody, "input.#").Int())
|
||||
require.Equal(t, "user", gjson.GetBytes(upstream.lastBody, "input.0.role").String())
|
||||
require.Equal(t, 1, strings.Count(string(upstream.lastBody), systemPrompt))
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayService_NativeResponsesBodyModificationPreservesHTMLChars(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
|
||||
|
||||
@@ -77,25 +77,48 @@ func shouldStripOpenAIResponsesInputNamespaces(account *Account, transport OpenA
|
||||
// 故 OAuth 非 compact 请求必须保留。
|
||||
// - compact 端点的 schema 不含该字段,携带即 400 `Unknown parameter:
|
||||
// input[N].namespace`(issue #4761 正文),故 compact 一律清理。
|
||||
// - API Key 出口是标准 Responses API(api.openai.com 或自定义 base_url),同样
|
||||
// 不认识该字段,维持全量清理;否则只能退化成
|
||||
// openai_responses_rejected_field_retry 的逐项删除,6 次上限根本盖不住长历史。
|
||||
// - API Key 出口默认按标准 Responses API 处理并清理该字段;但当请求本身声明
|
||||
// namespace 工具时,上游显然使用了 namespace 扩展,此时必须保留调用项上的
|
||||
// namespace,否则声明与历史调用会失配并触发 Missing namespace。
|
||||
// - 摊平模式下调用项已被改写成平名,残留 namespace 指向的声明已不存在,一律清理。
|
||||
func shouldKeepOpenAIResponsesToolCallNamespaces(
|
||||
account *Account,
|
||||
transport OpenAIUpstreamTransport,
|
||||
passthroughEnabled bool,
|
||||
compactPath bool,
|
||||
body []byte,
|
||||
) bool {
|
||||
if account == nil || !account.IsOpenAIOAuthLike() {
|
||||
if account == nil {
|
||||
return false
|
||||
}
|
||||
if compactPath {
|
||||
return false
|
||||
}
|
||||
if account.IsOpenAIApiKey() {
|
||||
return hasOpenAIResponsesNamespaceToolDeclaration(body)
|
||||
}
|
||||
if !account.IsOpenAIOAuthLike() {
|
||||
return false
|
||||
}
|
||||
return !shouldFlattenOpenAIResponsesNamespaces(account, transport, passthroughEnabled, compactPath)
|
||||
}
|
||||
|
||||
func hasOpenAIResponsesNamespaceToolDeclaration(body []byte) bool {
|
||||
tools := gjson.GetBytes(body, "tools")
|
||||
if !tools.IsArray() {
|
||||
return false
|
||||
}
|
||||
found := false
|
||||
tools.ForEach(func(_, tool gjson.Result) bool {
|
||||
if strings.EqualFold(strings.TrimSpace(tool.Get("type").String()), "namespace") {
|
||||
found = true
|
||||
return false
|
||||
}
|
||||
return true
|
||||
})
|
||||
return found
|
||||
}
|
||||
|
||||
// openAIResponsesToolCallItemTypes 是携带 namespace 的调用项类型集合。与
|
||||
// removeOpenAIResponsesRejectedNamespaceAtIndex 的反应式白名单保持一致;codex-rs
|
||||
// protocol/src/models.rs 中只有 FunctionCall 与 CustomToolCall 序列化 namespace,
|
||||
|
||||
@@ -66,6 +66,29 @@ func TestOpenAIGatewayService_OAuthPreservesCodexNamespaceTools(t *testing.T) {
|
||||
require.Empty(t, openAIResponsesNamespaceNames(c))
|
||||
}
|
||||
|
||||
// API Key 自定义上游若接受 namespace 工具声明,也要求历史 function_call 原样携带
|
||||
// namespace。声明仍为命名空间工具却清掉调用项字段,会触发 Missing namespace。
|
||||
func TestOpenAIGatewayService_APIKeyPreservesDeclaredNamespaceToolCalls(t *testing.T) {
|
||||
body := []byte(codexNamespaceRequestBody)
|
||||
upstream := &httpUpstreamRecorder{responses: []*http.Response{
|
||||
newOpenAIRejectedFieldTestResponse(http.StatusOK, namespaceForwardOKResponse),
|
||||
}}
|
||||
c := newOpenAIRejectedFieldTestContext(body)
|
||||
|
||||
result, err := newOpenAIRejectedFieldTestService(upstream).Forward(
|
||||
context.Background(), c, newOpenAIRejectedFieldTestAccount(), body,
|
||||
)
|
||||
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, result)
|
||||
require.Len(t, upstream.bodies, 1)
|
||||
forwarded := upstream.bodies[0]
|
||||
|
||||
require.True(t, gjson.GetBytes(forwarded, `tools.#(type=="namespace")`).Exists())
|
||||
require.Equal(t, "collaboration", gjson.GetBytes(forwarded, "input.0.namespace").String())
|
||||
require.False(t, gjson.GetBytes(forwarded, "input.1.namespace").Exists())
|
||||
}
|
||||
|
||||
// compact 端点 schema 更窄:input[].namespace 会 400 Unknown parameter(issue #4761),
|
||||
// 且没有证据表明它接受 namespace 工具声明。compact 只做历史摘要、不需要模型寻址工具,
|
||||
// 因此保持既有的摊平 + 全量清理行为,不随默认值翻转扩大风险面。
|
||||
|
||||
@@ -78,6 +78,7 @@ func TestShouldKeepOpenAIResponsesToolCallNamespaces(t *testing.T) {
|
||||
transport OpenAIUpstreamTransport
|
||||
passthroughEnabled bool
|
||||
compactPath bool
|
||||
body []byte
|
||||
want bool
|
||||
}{
|
||||
// 上游按 namespace 解析历史调用,缺字段会 400 "Missing namespace for function_call"。
|
||||
@@ -92,15 +93,20 @@ func TestShouldKeepOpenAIResponsesToolCallNamespaces(t *testing.T) {
|
||||
// WSv2 + compact 是唯一「不摊平但仍必须清理」的组合,钉住 compact 判定本身,
|
||||
// 使其不会被误当成可由 shouldFlatten 推导出的冗余分支。
|
||||
{name: "oauth_compact_wsv2_strips", account: oauth, transport: OpenAIUpstreamTransportResponsesWebsocketV2, compactPath: true, want: false},
|
||||
// API Key 出口是标准 Responses API,不认识该字段。
|
||||
{name: "apikey_strips", account: apiKey, transport: OpenAIUpstreamTransportHTTPSSE, want: false},
|
||||
// API Key 默认按标准 Responses API 清理;请求显式声明 namespace 工具时,
|
||||
// 自定义上游需要原样接收对应的历史调用。
|
||||
{name: "apikey_without_namespace_tool_strips", account: apiKey, transport: OpenAIUpstreamTransportHTTPSSE, want: false},
|
||||
{name: "apikey_with_namespace_tool_keeps", account: apiKey, transport: OpenAIUpstreamTransportHTTPSSE, body: []byte(`{"tools":[{"type":"namespace","name":"mcp__codex_app","tools":[]}]}`), want: true},
|
||||
{name: "apikey_with_mixed_case_namespace_tool_keeps", account: apiKey, transport: OpenAIUpstreamTransportHTTPSSE, body: []byte(`{"tools":[{"type":" Namespace ","name":"mcp__codex_app","tools":[]}]}`), want: true},
|
||||
{name: "apikey_function_tool_with_namespace_field_strips", account: apiKey, transport: OpenAIUpstreamTransportHTTPSSE, body: []byte(`{"tools":[{"type":"function","name":"automation_update","namespace":"mcp__codex_app"}]}`), want: false},
|
||||
{name: "apikey_compact_with_namespace_tool_strips", account: apiKey, transport: OpenAIUpstreamTransportHTTPSSE, compactPath: true, body: []byte(`{"tools":[{"type":"namespace","name":"mcp__codex_app","tools":[]}]}`), want: false},
|
||||
{name: "setup_token_keeps", account: setupToken, transport: OpenAIUpstreamTransportHTTPSSE, want: true},
|
||||
{name: "nil_account", account: nil, transport: OpenAIUpstreamTransportHTTPSSE, want: false},
|
||||
}
|
||||
for _, tt := range tests {
|
||||
t.Run(tt.name, func(t *testing.T) {
|
||||
require.Equal(t, tt.want, shouldKeepOpenAIResponsesToolCallNamespaces(
|
||||
tt.account, tt.transport, tt.passthroughEnabled, tt.compactPath,
|
||||
tt.account, tt.transport, tt.passthroughEnabled, tt.compactPath, tt.body,
|
||||
))
|
||||
})
|
||||
}
|
||||
|
||||
@@ -538,6 +538,34 @@ func TestOpenAIGatewayService_APIKeyStripsAllIndexedNamespacesBeforeFirstForward
|
||||
require.False(t, gjson.GetBytes(upstream.bodies[0], "input.1.namespace").Exists())
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayServiceProactivelyStripsCrossProviderReasoningContent(t *testing.T) {
|
||||
body := []byte(`{"model":"gpt-5.5","stream":false,"store":true,"input":[` +
|
||||
`{"type":"message","role":"user","content":"one"},` +
|
||||
`{"type":"message","role":"assistant","content":"two"},` +
|
||||
`{"type":"function_call","call_id":"call_1","name":"lookup","arguments":"{}"},` +
|
||||
`{"type":"function_call_output","call_id":"call_1","output":"ok"},` +
|
||||
`{"type":"message","role":"user","content":"five"},` +
|
||||
`{"type":"reasoning","summary":[{"type":"summary_text","text":"keep"}],"content":[{"type":"reasoning_text","text":"remove"}]}` +
|
||||
`]}`)
|
||||
upstream := &httpUpstreamRecorder{responses: []*http.Response{
|
||||
newOpenAIRejectedFieldTestResponse(http.StatusOK, `{"output":[],"usage":{"input_tokens":1,"output_tokens":1,"input_tokens_details":{"cached_tokens":0}}}`),
|
||||
}}
|
||||
|
||||
result, err := newOpenAIRejectedFieldTestService(upstream).Forward(
|
||||
context.Background(),
|
||||
newOpenAIRejectedFieldTestContext(body),
|
||||
newOpenAIRejectedFieldTestAccount(),
|
||||
body,
|
||||
)
|
||||
|
||||
require.NoError(t, err)
|
||||
require.NotNil(t, result)
|
||||
require.Len(t, upstream.bodies, 1, "reasoning content should be normalized before the first upstream request")
|
||||
require.Equal(t, "reasoning", gjson.GetBytes(upstream.bodies[0], "input.5.type").String())
|
||||
require.False(t, gjson.GetBytes(upstream.bodies[0], "input.5.content").Exists())
|
||||
require.Equal(t, "keep", gjson.GetBytes(upstream.bodies[0], "input.5.summary.0.text").String())
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayService_OpenAIHTTPStripsInputNamespacesBeforeFirstForward(t *testing.T) {
|
||||
accounts := []struct {
|
||||
name string
|
||||
|
||||
@@ -75,6 +75,8 @@ const (
|
||||
const (
|
||||
openAIImageRateLimitDefaultCooldown = time.Minute
|
||||
openAIImageRateLimitReason = "openai_image_rate_limited"
|
||||
openAIImageCapabilityLossCooldown = 30 * time.Minute
|
||||
openAIImageCapabilityLossReason = "openai_image_capability_lost"
|
||||
)
|
||||
|
||||
var openAIImageTryAgainPattern = regexp.MustCompile(`(?i)try again in\s+([0-9]+(?:\.[0-9]+)?)\s*(ms|s|sec|secs|second|seconds|m|min|mins|minute|minutes)`)
|
||||
@@ -2190,6 +2192,44 @@ func (s *RateLimitService) HandleOpenAIImageRateLimit(ctx context.Context, accou
|
||||
return true
|
||||
}
|
||||
|
||||
func (s *RateLimitService) HandleOpenAIImageCapabilityLoss(ctx context.Context, account *Account, statusCode int, responseBody []byte) bool {
|
||||
if s == nil || account == nil || s.accountRepo == nil {
|
||||
return false
|
||||
}
|
||||
if account.Platform != PlatformOpenAI {
|
||||
return false
|
||||
}
|
||||
if !account.ShouldHandleErrorCode(statusCode) {
|
||||
slog.Info("openai_image_capability_loss_skipped_by_error_code_policy", "account_id", account.ID, "status_code", statusCode)
|
||||
return false
|
||||
}
|
||||
if !isOpenAIImageCapabilityLossError(statusCode, responseBody) {
|
||||
return false
|
||||
}
|
||||
|
||||
resetAt := time.Now().Add(openAIImageCapabilityLossCooldown)
|
||||
if err := s.accountRepo.SetModelRateLimit(ctx, account.ID, openAIImageGenerationRateLimitKey, resetAt, openAIImageCapabilityLossReason); err != nil {
|
||||
slog.Warn("openai_image_capability_loss_set_model_rate_limit_failed", "account_id", account.ID, "scope", openAIImageGenerationRateLimitKey, "error", err)
|
||||
return true
|
||||
}
|
||||
slog.Info("openai_image_capability_lost", "account_id", account.ID, "scope", openAIImageGenerationRateLimitKey, "reset_at", resetAt, "reset_in", time.Until(resetAt).Truncate(time.Second))
|
||||
return true
|
||||
}
|
||||
|
||||
// isOpenAIImageCapabilityLossError reports whether upstream rejected the
|
||||
// image_generation tool choice that sub2api itself put into the request body.
|
||||
// Only meaningful for self-built images requests, where tools always carries a
|
||||
// matching image_generation entry — upstream saying otherwise means the account
|
||||
// lost the capability.
|
||||
func isOpenAIImageCapabilityLossError(statusCode int, body []byte) bool {
|
||||
if statusCode != http.StatusBadRequest || len(body) == 0 {
|
||||
return false
|
||||
}
|
||||
lower := strings.ToLower(string(body))
|
||||
return strings.Contains(lower, "image_generation") &&
|
||||
strings.Contains(lower, "not found in 'tools' parameter")
|
||||
}
|
||||
|
||||
func isOpenAIImageRateLimitError(statusCode int, body []byte) bool {
|
||||
if statusCode != http.StatusTooManyRequests || len(body) == 0 {
|
||||
return false
|
||||
|
||||
@@ -120,7 +120,11 @@ func TestOpenAIGatewayServiceForwardImages_ImageRateLimitReturnsFailoverAndCools
|
||||
require.Equal(t, openAIImageGenerationRateLimitKey, repo.modelRateLimitCalls[0].scope)
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayServiceForwardImages_TextFallbackCoolsImageCapability(t *testing.T) {
|
||||
// issue #6171:上游"回文字没回图"是**这一轮**的结果(模型选择了说话),不是账号能力
|
||||
// 失效。它同时被判为可重试(502)并驱动 failover,若还写 30 分钟账号级冷却,一次闲聊
|
||||
// 回复就会沿号池把每个被重试到的账号依次冷却掉。冷却仍保留给结构化上游证据,见
|
||||
// TestOpenAIGatewayServiceForwardImages_StructuredUnavailableCoolsImageCapability。
|
||||
func TestOpenAIGatewayServiceForwardImages_TextFallbackDoesNotCoolImageCapability(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
body := []byte(`{"model":"gpt-image-2","prompt":"draw a cat"}`)
|
||||
@@ -154,7 +158,6 @@ func TestOpenAIGatewayServiceForwardImages_TextFallbackCoolsImageCapability(t *t
|
||||
},
|
||||
}
|
||||
|
||||
before := time.Now()
|
||||
result, err := svc.ForwardImages(context.Background(), c, account, body, parsed, "")
|
||||
|
||||
require.Nil(t, result)
|
||||
@@ -162,6 +165,56 @@ func TestOpenAIGatewayServiceForwardImages_TextFallbackCoolsImageCapability(t *t
|
||||
var failoverErr *UpstreamFailoverError
|
||||
require.ErrorAs(t, err, &failoverErr)
|
||||
require.False(t, failoverErr.RetryableOnSameAccount)
|
||||
// 换号行为不变:该判据仍足以放弃本账号重试这一次请求……
|
||||
require.Equal(t, http.StatusBadGateway, failoverErr.StatusCode)
|
||||
// ……但不再写任何账号级状态,否则重试会把冷却一路刷到整个号池。
|
||||
require.Empty(t, repo.modelRateLimitCalls,
|
||||
"模型回文字只说明这一轮没出图,不构成账号 30 分钟不可用的证据")
|
||||
}
|
||||
|
||||
// 对照不变式:上游 error 帧点名 image_generation_unavailable 时仍写冷却,
|
||||
// 保证 #6171 的修复没有把这项能力保护整个废掉。
|
||||
func TestOpenAIGatewayServiceForwardImages_StructuredUnavailableCoolsImageCapability(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
body := []byte(`{"model":"gpt-image-2","prompt":"draw a cat"}`)
|
||||
upstreamSSE := "data: {\"type\":\"response.failed\",\"response\":{\"id\":\"r\",\"error\":" +
|
||||
"{\"type\":\"upstream_error\",\"code\":\"image_generation_unavailable\"," +
|
||||
"\"message\":\"image generation tool is not available for this account\"}}}\n\n"
|
||||
|
||||
req := httptest.NewRequest(http.MethodPost, "/v1/images/generations", bytes.NewReader(body))
|
||||
req.Header.Set("Content-Type", "application/json")
|
||||
rec := httptest.NewRecorder()
|
||||
c, _ := gin.CreateTestContext(rec)
|
||||
c.Request = req
|
||||
|
||||
svc := &OpenAIGatewayService{
|
||||
accountRepo: repo,
|
||||
httpUpstream: &httpUpstreamRecorder{
|
||||
resp: &http.Response{
|
||||
StatusCode: http.StatusOK,
|
||||
Header: http.Header{"Content-Type": []string{"text/event-stream"}},
|
||||
Body: io.NopCloser(strings.NewReader(upstreamSSE)),
|
||||
},
|
||||
},
|
||||
}
|
||||
parsed, err := svc.ParseOpenAIImagesRequest(c, body)
|
||||
require.NoError(t, err)
|
||||
account := &Account{
|
||||
ID: 206,
|
||||
Name: "openai-oauth",
|
||||
Platform: PlatformOpenAI,
|
||||
Type: AccountTypeOAuth,
|
||||
Credentials: map[string]any{
|
||||
"access_token": "token-123",
|
||||
},
|
||||
}
|
||||
|
||||
before := time.Now()
|
||||
result, err := svc.ForwardImages(context.Background(), c, account, body, parsed, "")
|
||||
|
||||
require.Nil(t, result)
|
||||
require.Error(t, err)
|
||||
require.Len(t, repo.modelRateLimitCalls, 1)
|
||||
call := repo.modelRateLimitCalls[0]
|
||||
require.Equal(t, account.ID, call.accountID)
|
||||
@@ -169,3 +222,120 @@ func TestOpenAIGatewayServiceForwardImages_TextFallbackCoolsImageCapability(t *t
|
||||
require.Equal(t, openAIImagesOAuthUnavailableReason, call.reason)
|
||||
require.WithinDuration(t, before.Add(openAIImagesOAuthUnavailableCooldown), call.resetAt, time.Second)
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayServiceForwardImages_CapabilityLossCoolsImageScope(t *testing.T) {
|
||||
gin.SetMode(gin.TestMode)
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
body := []byte(`{"model":"gpt-image-2","prompt":"draw a cat"}`)
|
||||
errorBody := `{"error":{"message":"Tool choice 'image_generation' not found in 'tools' parameter.","param":"tool_choice","type":"invalid_request_error"}}`
|
||||
|
||||
req := httptest.NewRequest(http.MethodPost, "/v1/images/generations", bytes.NewReader(body))
|
||||
req.Header.Set("Content-Type", "application/json")
|
||||
rec := httptest.NewRecorder()
|
||||
c, _ := gin.CreateTestContext(rec)
|
||||
c.Request = req
|
||||
|
||||
svc := &OpenAIGatewayService{
|
||||
rateLimitService: &RateLimitService{accountRepo: repo},
|
||||
httpUpstream: &httpUpstreamRecorder{
|
||||
resp: &http.Response{
|
||||
StatusCode: http.StatusBadRequest,
|
||||
Header: http.Header{"X-Request-Id": []string{"req_img_capability_lost"}},
|
||||
Body: io.NopCloser(strings.NewReader(errorBody)),
|
||||
},
|
||||
},
|
||||
}
|
||||
parsed, err := svc.ParseOpenAIImagesRequest(c, body)
|
||||
require.NoError(t, err)
|
||||
account := &Account{
|
||||
ID: 205,
|
||||
Name: "openai-oauth",
|
||||
Platform: PlatformOpenAI,
|
||||
Type: AccountTypeOAuth,
|
||||
Credentials: map[string]any{
|
||||
"access_token": "token-123",
|
||||
},
|
||||
}
|
||||
|
||||
before := time.Now()
|
||||
result, err := svc.ForwardImages(context.Background(), c, account, body, parsed, "")
|
||||
|
||||
require.Nil(t, result)
|
||||
require.Error(t, err)
|
||||
require.Len(t, repo.modelRateLimitCalls, 1)
|
||||
call := repo.modelRateLimitCalls[0]
|
||||
require.Equal(t, account.ID, call.accountID)
|
||||
require.Equal(t, openAIImageGenerationRateLimitKey, call.scope)
|
||||
require.Equal(t, openAIImageCapabilityLossReason, call.reason)
|
||||
require.WithinDuration(t, before.Add(openAIImageCapabilityLossCooldown), call.resetAt, time.Second)
|
||||
}
|
||||
|
||||
func TestOpenAIGatewayServiceHandleUpstreamError_PassthroughCapabilityLossDoesNotCool(t *testing.T) {
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
svc := &OpenAIGatewayService{rateLimitService: &RateLimitService{accountRepo: repo}}
|
||||
account := &Account{ID: 206, Platform: PlatformOpenAI, Type: AccountTypeOAuth}
|
||||
body := []byte(`{"error":{"message":"Tool choice 'image_generation' not found in 'tools' parameter.","param":"tool_choice","type":"invalid_request_error"}}`)
|
||||
|
||||
disabled := svc.handleOpenAIAccountUpstreamError(context.Background(), account, http.StatusBadRequest, http.Header{}, body, "gpt-5.5")
|
||||
|
||||
require.False(t, disabled)
|
||||
require.Empty(t, repo.modelRateLimitCalls)
|
||||
_, wholeAccountBlocked := svc.openaiAccountRuntimeBlockUntil.Load(account.ID)
|
||||
require.False(t, wholeAccountBlocked)
|
||||
}
|
||||
|
||||
func TestRateLimitServiceHandleOpenAIImageCapabilityLoss_IgnoresGenericBadRequest(t *testing.T) {
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
svc := &RateLimitService{accountRepo: repo}
|
||||
account := &Account{ID: 207, Platform: PlatformOpenAI, Type: AccountTypeOAuth}
|
||||
body := []byte(`{"error":{"message":"Invalid type for input[0].arguments"}}`)
|
||||
|
||||
handled := svc.HandleOpenAIImageCapabilityLoss(context.Background(), account, http.StatusBadRequest, body)
|
||||
|
||||
require.False(t, handled)
|
||||
require.Empty(t, repo.modelRateLimitCalls)
|
||||
}
|
||||
|
||||
func TestRateLimitServiceHandleOpenAIImageCapabilityLoss_RespectsPlatformAndErrorCodePolicy(t *testing.T) {
|
||||
body := []byte(`{"error":{"message":"Tool choice 'image_generation' not found in 'tools' parameter.","param":"tool_choice","type":"invalid_request_error"}}`)
|
||||
|
||||
t.Run("non_openai_platform", func(t *testing.T) {
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
svc := &RateLimitService{accountRepo: repo}
|
||||
account := &Account{ID: 208, Platform: PlatformAnthropic, Type: AccountTypeOAuth}
|
||||
|
||||
handled := svc.HandleOpenAIImageCapabilityLoss(context.Background(), account, http.StatusBadRequest, body)
|
||||
|
||||
require.False(t, handled)
|
||||
require.Empty(t, repo.modelRateLimitCalls)
|
||||
})
|
||||
|
||||
t.Run("custom_error_code_policy_excludes_400", func(t *testing.T) {
|
||||
repo := &modelNotFoundAccountRepoStub{}
|
||||
svc := &RateLimitService{accountRepo: repo}
|
||||
account := &Account{
|
||||
ID: 209,
|
||||
Platform: PlatformOpenAI,
|
||||
Type: AccountTypeAPIKey,
|
||||
Credentials: map[string]any{
|
||||
"custom_error_codes_enabled": true,
|
||||
"custom_error_codes": []any{float64(http.StatusTooManyRequests)},
|
||||
},
|
||||
}
|
||||
|
||||
require.False(t, account.ShouldHandleErrorCode(http.StatusBadRequest))
|
||||
handled := svc.HandleOpenAIImageCapabilityLoss(context.Background(), account, http.StatusBadRequest, body)
|
||||
|
||||
require.False(t, handled)
|
||||
require.Empty(t, repo.modelRateLimitCalls)
|
||||
})
|
||||
}
|
||||
|
||||
func TestIsOpenAIImageCapabilityLossError(t *testing.T) {
|
||||
capabilityLossBody := []byte(`{"error":{"message":"Tool choice 'image_generation' not found in 'tools' parameter.","param":"tool_choice","type":"invalid_request_error"}}`)
|
||||
genericBadRequestBody := []byte(`{"error":{"message":"Invalid type for input[0].arguments"}}`)
|
||||
|
||||
require.True(t, isOpenAIImageCapabilityLossError(http.StatusBadRequest, capabilityLossBody))
|
||||
require.False(t, isOpenAIImageCapabilityLossError(http.StatusBadRequest, genericBadRequestBody))
|
||||
require.False(t, isOpenAIImageCapabilityLossError(http.StatusTooManyRequests, capabilityLossBody))
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user