Serialize cache-controlled chat messages

This commit is contained in:
2026-07-02 23:05:56 +00:00
parent c95d6fcfec
commit efe346893c
3 changed files with 212 additions and 17 deletions

View File

@@ -237,6 +237,8 @@ type TokenUsage struct {
PromptTokens int
CompletionTokens int
TotalTokens int
CachedTokens int
CacheWriteTokens int
}
// ValidationResult represents the outcome of an output validation.

View File

@@ -151,6 +151,8 @@ func (c *OpenAICompatibleClient) Generate(ctx context.Context, req domain.Genera
PromptTokens: wireResp.Usage.PromptTokens,
CompletionTokens: wireResp.Usage.CompletionTokens,
TotalTokens: wireResp.Usage.TotalTokens,
CachedTokens: wireResp.Usage.PromptTokensDetails.CachedTokens,
CacheWriteTokens: wireResp.Usage.CacheWriteTokens,
},
}, nil
}
@@ -168,12 +170,9 @@ func openAIChatRequestFromGenerateRequest(req domain.GenerateRequest, defaultMod
Model: model,
}
wireReq.Messages = make([]openAIChatMessage, 0, len(req.Prompt.Messages))
wireReq.Messages = make([]openAIChatRequestMessage, 0, len(req.Prompt.Messages))
for _, msg := range req.Prompt.Messages {
wireReq.Messages = append(wireReq.Messages, openAIChatMessage{
Role: msg.Role,
Content: msg.Content,
})
wireReq.Messages = append(wireReq.Messages, openAIChatRequestMessageFromRenderedMessage(msg))
}
if req.Target.Temperature != 0 {
@@ -200,28 +199,48 @@ func openAIChatRequestFromGenerateRequest(req domain.GenerateRequest, defaultMod
}
type openAIChatRequest struct {
Model string `json:"model"`
Messages []openAIChatMessage `json:"messages"`
Temperature *float64 `json:"temperature,omitempty"`
MaxTokens *int `json:"max_tokens,omitempty"`
TopP *float64 `json:"top_p,omitempty"`
ServiceTier string `json:"service_tier,omitempty"`
ResponseFormat *openAIResponseFormat `json:"response_format,omitempty"`
Model string `json:"model"`
Messages []openAIChatRequestMessage `json:"messages"`
Temperature *float64 `json:"temperature,omitempty"`
MaxTokens *int `json:"max_tokens,omitempty"`
TopP *float64 `json:"top_p,omitempty"`
ServiceTier string `json:"service_tier,omitempty"`
ResponseFormat *openAIResponseFormat `json:"response_format,omitempty"`
}
type openAIChatMessage struct {
type openAIChatRequestMessage struct {
Role string `json:"role"`
Content any `json:"content"`
}
type openAIChatTextContentBlock struct {
Type string `json:"type"`
Text string `json:"text"`
CacheControl *openAICacheControl `json:"cache_control,omitempty"`
}
type openAICacheControl struct {
Type string `json:"type"`
TTL string `json:"ttl,omitempty"`
}
type openAIChatResponseMessage struct {
Role string `json:"role"`
Content string `json:"content"`
}
type openAIChatResponse struct {
Choices []struct {
Message openAIChatMessage `json:"message"`
Message openAIChatResponseMessage `json:"message"`
} `json:"choices"`
Usage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
PromptTokensDetails struct {
CachedTokens int `json:"cached_tokens"`
} `json:"prompt_tokens_details"`
CacheWriteTokens int `json:"cache_write_tokens"`
} `json:"usage"`
}
@@ -236,6 +255,28 @@ type openAIJSONSchemaEnvelope struct {
Schema any `json:"schema"`
}
func openAIChatRequestMessageFromRenderedMessage(msg domain.RenderedMessage) openAIChatRequestMessage {
wireMsg := openAIChatRequestMessage{
Role: msg.Role,
Content: msg.Content,
}
if msg.CacheControl == nil {
return wireMsg
}
wireMsg.Content = []openAIChatTextContentBlock{
{
Type: "text",
Text: msg.Content,
CacheControl: &openAICacheControl{
Type: string(msg.CacheControl.Type),
TTL: msg.CacheControl.TTL,
},
},
}
return wireMsg
}
func toOpenAIResponseFormat(spec *domain.StructuredOutputSpec) (*openAIResponseFormat, error) {
if spec == nil {
return nil, nil

View File

@@ -89,6 +89,9 @@ func TestOpenAICompatibleClientGenerateSuccess(t *testing.T) {
if resp.Usage.PromptTokens != 11 || resp.Usage.CompletionTokens != 22 || resp.Usage.TotalTokens != 33 {
t.Fatalf("unexpected usage: %+v", resp.Usage)
}
if resp.Usage.CachedTokens != 0 || resp.Usage.CacheWriteTokens != 0 {
t.Fatalf("expected absent cache usage fields to remain zero, got %+v", resp.Usage)
}
if obs.Authorization != "Bearer secret-key" {
t.Fatalf("unexpected Authorization header: %q", obs.Authorization)
@@ -144,6 +147,155 @@ func TestOpenAICompatibleClientGenerateSuccess(t *testing.T) {
}
}
func TestOpenAICompatibleClientSerializesCacheControlledMessageAsContentBlock(t *testing.T) {
var observedBody map[string]any
ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
defer r.Body.Close()
if err := json.NewDecoder(r.Body).Decode(&observedBody); err != nil {
t.Fatalf("failed to decode request body: %v", err)
}
_, _ = w.Write([]byte(`{"choices":[{"message":{"content":"ok"}}]}`))
}))
defer ts.Close()
client, err := NewOpenAICompatibleClient(OpenAICompatibleConfig{BaseURL: ts.URL + "/v1"})
if err != nil {
t.Fatal(err)
}
_, err = client.Generate(context.Background(), domain.GenerateRequest{
Prompt: domain.RenderedPrompt{Messages: []domain.RenderedMessage{
{
Role: "system",
Content: "Stable instructions.",
CacheControl: &domain.CacheControl{
Type: domain.CacheControlEphemeral,
TTL: "1h",
},
},
{Role: "user", Content: "Dynamic request."},
}},
Target: domain.ExecutionTarget{Model: "model"},
})
if err != nil {
t.Fatalf("expected no error, got %v", err)
}
for _, forbidden := range []string{"cache_control", "session_id", "extra_params"} {
if _, exists := observedBody[forbidden]; exists {
t.Fatalf("expected top-level %s to be omitted, got %#v", forbidden, observedBody[forbidden])
}
}
msgs, ok := observedBody["messages"].([]any)
if !ok || len(msgs) != 2 {
t.Fatalf("unexpected messages payload: %#v", observedBody["messages"])
}
msg0 := msgs[0].(map[string]any)
if msg0["role"] != "system" {
t.Fatalf("unexpected first message role: %#v", msg0["role"])
}
contentBlocks, ok := msg0["content"].([]any)
if !ok || len(contentBlocks) != 1 {
t.Fatalf("expected first message content block array, got %#v", msg0["content"])
}
block := contentBlocks[0].(map[string]any)
if block["type"] != "text" || block["text"] != "Stable instructions." {
t.Fatalf("unexpected text content block: %#v", block)
}
cacheControl, ok := block["cache_control"].(map[string]any)
if !ok {
t.Fatalf("expected cache_control on content block, got %#v", block)
}
if cacheControl["type"] != string(domain.CacheControlEphemeral) || cacheControl["ttl"] != "1h" {
t.Fatalf("unexpected cache_control payload: %#v", cacheControl)
}
msg1 := msgs[1].(map[string]any)
if msg1["role"] != "user" || msg1["content"] != "Dynamic request." {
t.Fatalf("expected uncached message to keep string content, got %#v", msg1)
}
}
func TestOpenAICompatibleClientOmitsEmptyCacheControlTTL(t *testing.T) {
var observedBody map[string]any
ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
defer r.Body.Close()
if err := json.NewDecoder(r.Body).Decode(&observedBody); err != nil {
t.Fatalf("failed to decode request body: %v", err)
}
_, _ = w.Write([]byte(`{"choices":[{"message":{"content":"ok"}}]}`))
}))
defer ts.Close()
client, err := NewOpenAICompatibleClient(OpenAICompatibleConfig{BaseURL: ts.URL + "/v1"})
if err != nil {
t.Fatal(err)
}
_, err = client.Generate(context.Background(), domain.GenerateRequest{
Prompt: domain.RenderedPrompt{Messages: []domain.RenderedMessage{
{
Role: "system",
Content: "Stable instructions.",
CacheControl: &domain.CacheControl{
Type: domain.CacheControlEphemeral,
},
},
}},
Target: domain.ExecutionTarget{Model: "model"},
})
if err != nil {
t.Fatalf("expected no error, got %v", err)
}
msgs := observedBody["messages"].([]any)
msg0 := msgs[0].(map[string]any)
contentBlocks := msg0["content"].([]any)
block := contentBlocks[0].(map[string]any)
cacheControl := block["cache_control"].(map[string]any)
if cacheControl["type"] != string(domain.CacheControlEphemeral) {
t.Fatalf("unexpected cache_control type: %#v", cacheControl)
}
if _, exists := cacheControl["ttl"]; exists {
t.Fatalf("expected empty ttl to be omitted, got %#v", cacheControl)
}
}
func TestOpenAICompatibleClientParsesCacheUsage(t *testing.T) {
ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
_, _ = w.Write([]byte(`{
"choices": [{"message": {"role": "assistant", "content": "ok"}}],
"usage": {
"prompt_tokens": 100,
"completion_tokens": 20,
"total_tokens": 120,
"prompt_tokens_details": {"cached_tokens": 80},
"cache_write_tokens": 60
}
}`))
}))
defer ts.Close()
client, err := NewOpenAICompatibleClient(OpenAICompatibleConfig{BaseURL: ts.URL + "/v1", Model: "model"})
if err != nil {
t.Fatal(err)
}
resp, err := client.Generate(context.Background(), domain.GenerateRequest{
Prompt: domain.RenderedPrompt{Messages: []domain.RenderedMessage{{Role: "user", Content: "hi"}}},
})
if err != nil {
t.Fatalf("expected no error, got %v", err)
}
if resp.Usage.PromptTokens != 100 || resp.Usage.CompletionTokens != 20 || resp.Usage.TotalTokens != 120 {
t.Fatalf("unexpected base usage fields: %+v", resp.Usage)
}
if resp.Usage.CachedTokens != 80 || resp.Usage.CacheWriteTokens != 60 {
t.Fatalf("unexpected cache usage fields: %+v", resp.Usage)
}
}
func TestOpenAICompatibleClientOmitsResponseFormatWhenNoStructuredOutput(t *testing.T) {
var observedBody map[string]any
ts := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {