Detailed changes
@@ -192,7 +192,7 @@ type (
OnTextEndFunc func(id string) error
// OnReasoningStartFunc is called when reasoning starts.
- OnReasoningStartFunc func(id string) error
+ OnReasoningStartFunc func(id string, reasoning ReasoningContent) error
// OnReasoningDeltaFunc is called for reasoning deltas.
OnReasoningDeltaFunc func(id, text string) error
@@ -1135,9 +1135,13 @@ func (a *agent) processStepStream(ctx context.Context, stream StreamResponse, op
}
case StreamPartTypeReasoningStart:
- activeReasoningContent[part.ID] = reasoningContent{content: ""}
+ activeReasoningContent[part.ID] = reasoningContent{content: "", options: part.ProviderMetadata}
if opts.OnReasoningStart != nil {
- err := opts.OnReasoningStart(part.ID)
+ content := ReasoningContent{
+ Text: "",
+ ProviderMetadata: part.ProviderMetadata,
+ }
+ err := opts.OnReasoningStart(part.ID, content)
if err != nil {
return StepResult{}, false, err
}
@@ -1158,6 +1162,9 @@ func (a *agent) processStepStream(ctx context.Context, stream StreamResponse, op
case StreamPartTypeReasoningEnd:
if active, exists := activeReasoningContent[part.ID]; exists {
+ if part.ProviderMetadata != nil {
+ active.options = part.ProviderMetadata
+ }
content := ReasoningContent{
Text: active.content,
ProviderMetadata: active.options,
@@ -157,7 +157,7 @@ func TestStreamingAgentCallbacks(t *testing.T) {
callbacks["OnTextEnd"] = true
return nil
},
- OnReasoningStart: func(id string) error {
+ OnReasoningStart: func(id string, _ ReasoningContent) error {
callbacks["OnReasoningStart"] = true
return nil
},
@@ -2,20 +2,8 @@ package ai
import "github.com/go-viper/mapstructure/v2"
-func FloatOption(f float64) *float64 {
- return &f
-}
-
-func BoolOption(b bool) *bool {
- return &b
-}
-
-func StringOption(s string) *string {
- return &s
-}
-
-func IntOption(i int64) *int64 {
- return &i
+func Opt[T any](v T) *T {
+ return &v
}
func ParseOptions[T any](options map[string]any, m *T) error {
@@ -1 +1 @@
-{"flagWords":[],"language":"en","version":"0.2","words":["mapstructure","mapstructure","charmbracelet","providertests","joho","godotenv","stretchr","Quantizations","Logit","Probs","openrouter","openaisdk"]}
+{"flagWords":[],"words":["mapstructure","mapstructure","charmbracelet","providertests","joho","godotenv","stretchr","Quantizations","Logit","Probs","openrouter","openaisdk","Logprobs","Includable"],"version":"0.2","language":"en"}
@@ -21,7 +21,7 @@ func main() {
Prompt: ai.Prompt{
ai.NewUserMessage("Hello"),
},
- Temperature: ai.FloatOption(0.7),
+ Temperature: ai.Opt(0.7),
})
if err != nil {
fmt.Println(err)
@@ -22,7 +22,7 @@ func main() {
Prompt: ai.Prompt{
ai.NewUserMessage("Whats the weather in pristina."),
},
- Temperature: ai.FloatOption(0.7),
+ Temperature: ai.Opt(0.7),
Tools: []ai.Tool{
ai.FunctionTool{
Name: "weather",
@@ -166,7 +166,7 @@ func main() {
fmt.Println()
return nil
},
- OnReasoningStart: func(id string) error {
+ OnReasoningStart: func(id string, _ ai.ReasoningContent) error {
fmt.Print("🤔 Thinking: ")
return nil
},
@@ -190,7 +190,7 @@ func (a languageModel) prepareParams(call ai.Call) (*genai.GenerateContentConfig
Type: ai.CallWarningTypeOther,
Message: "The 'thinking_budget' option can not be under 128 and will be set to 128 by default",
})
- providerOptions.ThinkingConfig.ThinkingBudget = ai.IntOption(128)
+ providerOptions.ThinkingConfig.ThinkingBudget = ai.Opt(int64(128))
}
}
@@ -1,3 +1,4 @@
+// Package openai contains the openai provider
package openai
import (
@@ -24,6 +25,7 @@ type options struct {
organization string
project string
name string
+ useResponsesAPI bool
headers map[string]string
client option.HTTPClient
sdkOptions []option.RequestOption
@@ -108,6 +110,13 @@ func WithLanguageModelOptions(opts ...LanguageModelOption) Option {
}
}
+// WithUseResponsesAPI makes it so the provider uses responses API for models that support it.
+func WithUseResponsesAPI() Option {
+ return func(o *options) {
+ o.useResponsesAPI = true
+ }
+}
+
// LanguageModel implements ai.Provider.
func (o *provider) LanguageModel(modelID string) (ai.LanguageModel, error) {
openaiClientOptions := make([]option.RequestOption, 0, 5+len(o.options.headers)+len(o.options.sdkOptions))
@@ -129,10 +138,16 @@ func (o *provider) LanguageModel(modelID string) (ai.LanguageModel, error) {
openaiClientOptions = append(openaiClientOptions, o.options.sdkOptions...)
+ client := openai.NewClient(openaiClientOptions...)
+
+ if o.options.useResponsesAPI && IsResponsesModel(modelID) {
+ return newResponsesLanguageModel(modelID, o.options.name, client), nil
+ }
+
return newLanguageModel(
modelID,
o.options.name,
- openai.NewClient(openaiClientOptions...),
+ client,
o.options.languageModelOptions...,
), nil
}
@@ -940,7 +940,7 @@ func TestDoGenerate(t *testing.T) {
result, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- LogProbs: ai.BoolOption(true),
+ LogProbs: ai.Opt(true),
}),
})
@@ -1057,8 +1057,8 @@ func TestDoGenerate(t *testing.T) {
LogitBias: map[string]int64{
"50256": -100,
},
- ParallelToolCalls: ai.BoolOption(false),
- User: ai.StringOption("test-user-id"),
+ ParallelToolCalls: ai.Opt(false),
+ User: ai.Opt("test-user-id"),
}),
})
@@ -1136,7 +1136,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- TextVerbosity: ai.StringOption("low"),
+ TextVerbosity: ai.Opt("low"),
}),
})
@@ -1528,7 +1528,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- MaxCompletionTokens: ai.IntOption(255),
+ MaxCompletionTokens: ai.Opt(int64(255)),
}),
})
@@ -1610,7 +1610,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- Store: ai.BoolOption(true),
+ Store: ai.Opt(true),
}),
})
@@ -1690,7 +1690,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- PromptCacheKey: ai.StringOption("test-cache-key-123"),
+ PromptCacheKey: ai.Opt("test-cache-key-123"),
}),
})
@@ -1728,7 +1728,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- SafetyIdentifier: ai.StringOption("test-safety-identifier-123"),
+ SafetyIdentifier: ai.Opt("test-safety-identifier-123"),
}),
})
@@ -1798,7 +1798,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- ServiceTier: ai.StringOption("flex"),
+ ServiceTier: ai.Opt("flex"),
}),
})
@@ -1834,7 +1834,7 @@ func TestDoGenerate(t *testing.T) {
result, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- ServiceTier: ai.StringOption("flex"),
+ ServiceTier: ai.Opt("flex"),
}),
})
@@ -1867,7 +1867,7 @@ func TestDoGenerate(t *testing.T) {
_, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- ServiceTier: ai.StringOption("priority"),
+ ServiceTier: ai.Opt("priority"),
}),
})
@@ -1903,7 +1903,7 @@ func TestDoGenerate(t *testing.T) {
result, err := model.Generate(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- ServiceTier: ai.StringOption("priority"),
+ ServiceTier: ai.Opt("priority"),
}),
})
@@ -2573,7 +2573,7 @@ func TestDoStream(t *testing.T) {
_, err := model.Stream(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- Store: ai.BoolOption(true),
+ Store: ai.Opt(true),
}),
})
@@ -2661,7 +2661,7 @@ func TestDoStream(t *testing.T) {
_, err := model.Stream(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- ServiceTier: ai.StringOption("flex"),
+ ServiceTier: ai.Opt("flex"),
}),
})
@@ -2703,7 +2703,7 @@ func TestDoStream(t *testing.T) {
_, err := model.Stream(context.Background(), ai.Call{
Prompt: testPrompt,
ProviderOptions: NewProviderOptions(&ProviderOptions{
- ServiceTier: ai.StringOption("priority"),
+ ServiceTier: ai.Opt("priority"),
}),
})
@@ -0,0 +1,1058 @@
+package openai
+
+import (
+ "context"
+ "encoding/base64"
+ "encoding/json"
+ "errors"
+ "fmt"
+ "strings"
+
+ "github.com/charmbracelet/fantasy/ai"
+ "github.com/google/uuid"
+ "github.com/openai/openai-go/v2"
+ "github.com/openai/openai-go/v2/packages/param"
+ "github.com/openai/openai-go/v2/responses"
+ "github.com/openai/openai-go/v2/shared"
+)
+
+const topLogprobsMax = 20
+
+type responsesLanguageModel struct {
+ provider string
+ modelID string
+ client openai.Client
+}
+
+// newResponsesLanguageModel implements a responses api model
+// INFO: (kujtim) currently we do not support stored parameter we default it to false.
+func newResponsesLanguageModel(modelID string, provider string, client openai.Client) responsesLanguageModel {
+ return responsesLanguageModel{
+ modelID: modelID,
+ provider: provider,
+ client: client,
+ }
+}
+
+func (o responsesLanguageModel) Model() string {
+ return o.modelID
+}
+
+func (o responsesLanguageModel) Provider() string {
+ return o.provider
+}
+
+type responsesModelConfig struct {
+ isReasoningModel bool
+ systemMessageMode string
+ requiredAutoTruncation bool
+ supportsFlexProcessing bool
+ supportsPriorityProcessing bool
+}
+
+func getResponsesModelConfig(modelID string) responsesModelConfig {
+ supportsFlexProcessing := strings.HasPrefix(modelID, "o3") ||
+ strings.HasPrefix(modelID, "o4-mini") ||
+ (strings.HasPrefix(modelID, "gpt-5") && !strings.HasPrefix(modelID, "gpt-5-chat"))
+
+ supportsPriorityProcessing := strings.HasPrefix(modelID, "gpt-4") ||
+ strings.HasPrefix(modelID, "gpt-5-mini") ||
+ (strings.HasPrefix(modelID, "gpt-5") &&
+ !strings.HasPrefix(modelID, "gpt-5-nano") &&
+ !strings.HasPrefix(modelID, "gpt-5-chat")) ||
+ strings.HasPrefix(modelID, "o3") ||
+ strings.HasPrefix(modelID, "o4-mini")
+
+ defaults := responsesModelConfig{
+ requiredAutoTruncation: false,
+ systemMessageMode: "system",
+ supportsFlexProcessing: supportsFlexProcessing,
+ supportsPriorityProcessing: supportsPriorityProcessing,
+ }
+
+ if strings.HasPrefix(modelID, "gpt-5-chat") {
+ return responsesModelConfig{
+ isReasoningModel: false,
+ systemMessageMode: defaults.systemMessageMode,
+ requiredAutoTruncation: defaults.requiredAutoTruncation,
+ supportsFlexProcessing: defaults.supportsFlexProcessing,
+ supportsPriorityProcessing: defaults.supportsPriorityProcessing,
+ }
+ }
+
+ if strings.HasPrefix(modelID, "o") ||
+ strings.HasPrefix(modelID, "gpt-5") ||
+ strings.HasPrefix(modelID, "codex-") ||
+ strings.HasPrefix(modelID, "computer-use") {
+ if strings.HasPrefix(modelID, "o1-mini") || strings.HasPrefix(modelID, "o1-preview") {
+ return responsesModelConfig{
+ isReasoningModel: true,
+ systemMessageMode: "remove",
+ requiredAutoTruncation: defaults.requiredAutoTruncation,
+ supportsFlexProcessing: defaults.supportsFlexProcessing,
+ supportsPriorityProcessing: defaults.supportsPriorityProcessing,
+ }
+ }
+
+ return responsesModelConfig{
+ isReasoningModel: true,
+ systemMessageMode: "developer",
+ requiredAutoTruncation: defaults.requiredAutoTruncation,
+ supportsFlexProcessing: defaults.supportsFlexProcessing,
+ supportsPriorityProcessing: defaults.supportsPriorityProcessing,
+ }
+ }
+
+ return responsesModelConfig{
+ isReasoningModel: false,
+ systemMessageMode: defaults.systemMessageMode,
+ requiredAutoTruncation: defaults.requiredAutoTruncation,
+ supportsFlexProcessing: defaults.supportsFlexProcessing,
+ supportsPriorityProcessing: defaults.supportsPriorityProcessing,
+ }
+}
+
+func (o responsesLanguageModel) prepareParams(call ai.Call) (*responses.ResponseNewParams, []ai.CallWarning) {
+ var warnings []ai.CallWarning
+ params := &responses.ResponseNewParams{
+ Store: param.NewOpt(false),
+ }
+
+ modelConfig := getResponsesModelConfig(o.modelID)
+
+ if call.TopK != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "topK",
+ })
+ }
+
+ if call.PresencePenalty != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "presencePenalty",
+ })
+ }
+
+ if call.FrequencyPenalty != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "frequencyPenalty",
+ })
+ }
+
+ var openaiOptions *ResponsesProviderOptions
+ if opts, ok := call.ProviderOptions[Name]; ok {
+ if typedOpts, ok := opts.(*ResponsesProviderOptions); ok {
+ openaiOptions = typedOpts
+ }
+ }
+
+ input, inputWarnings := toResponsesPrompt(call.Prompt, modelConfig.systemMessageMode)
+ warnings = append(warnings, inputWarnings...)
+
+ var include []IncludeType
+
+ addInclude := func(key IncludeType) {
+ include = append(include, key)
+ }
+
+ topLogprobs := 0
+ if openaiOptions != nil && openaiOptions.Logprobs != nil {
+ switch v := openaiOptions.Logprobs.(type) {
+ case bool:
+ if v {
+ topLogprobs = topLogprobsMax
+ }
+ case float64:
+ topLogprobs = int(v)
+ case int:
+ topLogprobs = v
+ }
+ }
+
+ if topLogprobs > 0 {
+ addInclude(IncludeMessageOutputTextLogprobs)
+ }
+
+ params.Model = o.modelID
+ params.Input = responses.ResponseNewParamsInputUnion{
+ OfInputItemList: input,
+ }
+
+ if call.Temperature != nil {
+ params.Temperature = param.NewOpt(*call.Temperature)
+ }
+ if call.TopP != nil {
+ params.TopP = param.NewOpt(*call.TopP)
+ }
+ if call.MaxOutputTokens != nil {
+ params.MaxOutputTokens = param.NewOpt(*call.MaxOutputTokens)
+ }
+
+ if openaiOptions != nil {
+ if openaiOptions.MaxToolCalls != nil {
+ params.MaxToolCalls = param.NewOpt(*openaiOptions.MaxToolCalls)
+ }
+ if openaiOptions.Metadata != nil {
+ metadata := make(shared.Metadata)
+ for k, v := range openaiOptions.Metadata {
+ if str, ok := v.(string); ok {
+ metadata[k] = str
+ }
+ }
+ params.Metadata = metadata
+ }
+ if openaiOptions.ParallelToolCalls != nil {
+ params.ParallelToolCalls = param.NewOpt(*openaiOptions.ParallelToolCalls)
+ }
+ if openaiOptions.User != nil {
+ params.User = param.NewOpt(*openaiOptions.User)
+ }
+ if openaiOptions.Instructions != nil {
+ params.Instructions = param.NewOpt(*openaiOptions.Instructions)
+ }
+ if openaiOptions.ServiceTier != nil {
+ params.ServiceTier = responses.ResponseNewParamsServiceTier(*openaiOptions.ServiceTier)
+ }
+ if openaiOptions.PromptCacheKey != nil {
+ params.PromptCacheKey = param.NewOpt(*openaiOptions.PromptCacheKey)
+ }
+ if openaiOptions.SafetyIdentifier != nil {
+ params.SafetyIdentifier = param.NewOpt(*openaiOptions.SafetyIdentifier)
+ }
+ if topLogprobs > 0 {
+ params.TopLogprobs = param.NewOpt(int64(topLogprobs))
+ }
+
+ if len(openaiOptions.Include) > 0 {
+ include = append(include, openaiOptions.Include...)
+ }
+
+ if modelConfig.isReasoningModel && (openaiOptions.ReasoningEffort != nil || openaiOptions.ReasoningSummary != nil) {
+ reasoning := shared.ReasoningParam{}
+ if openaiOptions.ReasoningEffort != nil {
+ reasoning.Effort = shared.ReasoningEffort(*openaiOptions.ReasoningEffort)
+ }
+ if openaiOptions.ReasoningSummary != nil {
+ reasoning.Summary = shared.ReasoningSummary(*openaiOptions.ReasoningSummary)
+ }
+ params.Reasoning = reasoning
+ }
+ }
+
+ if modelConfig.requiredAutoTruncation {
+ params.Truncation = responses.ResponseNewParamsTruncationAuto
+ }
+
+ if len(include) > 0 {
+ includeParams := make([]responses.ResponseIncludable, len(include))
+ for i, inc := range include {
+ includeParams[i] = responses.ResponseIncludable(string(inc))
+ }
+ params.Include = includeParams
+ }
+
+ if modelConfig.isReasoningModel {
+ if call.Temperature != nil {
+ params.Temperature = param.Opt[float64]{}
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "temperature",
+ Details: "temperature is not supported for reasoning models",
+ })
+ }
+
+ if call.TopP != nil {
+ params.TopP = param.Opt[float64]{}
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "topP",
+ Details: "topP is not supported for reasoning models",
+ })
+ }
+ } else {
+ if openaiOptions != nil {
+ if openaiOptions.ReasoningEffort != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "reasoningEffort",
+ Details: "reasoningEffort is not supported for non-reasoning models",
+ })
+ }
+
+ if openaiOptions.ReasoningSummary != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "reasoningSummary",
+ Details: "reasoningSummary is not supported for non-reasoning models",
+ })
+ }
+ }
+ }
+
+ if openaiOptions != nil && openaiOptions.ServiceTier != nil {
+ if *openaiOptions.ServiceTier == ServiceTierFlex && !modelConfig.supportsFlexProcessing {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "serviceTier",
+ Details: "flex processing is only available for o3, o4-mini, and gpt-5 models",
+ })
+ params.ServiceTier = ""
+ }
+
+ if *openaiOptions.ServiceTier == ServiceTierPriority && !modelConfig.supportsPriorityProcessing {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedSetting,
+ Setting: "serviceTier",
+ Details: "priority processing is only available for supported models (gpt-4, gpt-5, gpt-5-mini, o3, o4-mini) and requires Enterprise access. gpt-5-nano is not supported",
+ })
+ params.ServiceTier = ""
+ }
+ }
+
+ tools, toolChoice, toolWarnings := toResponsesTools(call.Tools, call.ToolChoice, openaiOptions)
+ warnings = append(warnings, toolWarnings...)
+
+ if len(tools) > 0 {
+ params.Tools = tools
+ params.ToolChoice = toolChoice
+ }
+
+ return params, warnings
+}
+
+func toResponsesPrompt(prompt ai.Prompt, systemMessageMode string) (responses.ResponseInputParam, []ai.CallWarning) {
+ var input responses.ResponseInputParam
+ var warnings []ai.CallWarning
+
+ for _, msg := range prompt {
+ switch msg.Role {
+ case ai.MessageRoleSystem:
+ var systemText string
+ for _, c := range msg.Content {
+ if c.GetType() != ai.ContentTypeText {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "system prompt can only have text content",
+ })
+ continue
+ }
+ textPart, ok := ai.AsContentType[ai.TextPart](c)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "system prompt text part does not have the right type",
+ })
+ continue
+ }
+ if strings.TrimSpace(textPart.Text) != "" {
+ systemText += textPart.Text
+ }
+ }
+
+ if systemText == "" {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "system prompt has no text parts",
+ })
+ continue
+ }
+
+ switch systemMessageMode {
+ case "system":
+ input = append(input, responses.ResponseInputItemParamOfMessage(systemText, responses.EasyInputMessageRoleSystem))
+ case "developer":
+ input = append(input, responses.ResponseInputItemParamOfMessage(systemText, responses.EasyInputMessageRoleDeveloper))
+ case "remove":
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "system messages are removed for this model",
+ })
+ }
+
+ case ai.MessageRoleUser:
+ var contentParts responses.ResponseInputMessageContentListParam
+ for i, c := range msg.Content {
+ switch c.GetType() {
+ case ai.ContentTypeText:
+ textPart, ok := ai.AsContentType[ai.TextPart](c)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "user message text part does not have the right type",
+ })
+ continue
+ }
+ contentParts = append(contentParts, responses.ResponseInputContentUnionParam{
+ OfInputText: &responses.ResponseInputTextParam{
+ Type: "input_text",
+ Text: textPart.Text,
+ },
+ })
+
+ case ai.ContentTypeFile:
+ filePart, ok := ai.AsContentType[ai.FilePart](c)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "user message file part does not have the right type",
+ })
+ continue
+ }
+
+ if strings.HasPrefix(filePart.MediaType, "image/") {
+ base64Encoded := base64.StdEncoding.EncodeToString(filePart.Data)
+ imageURL := fmt.Sprintf("data:%s;base64,%s", filePart.MediaType, base64Encoded)
+ contentParts = append(contentParts, responses.ResponseInputContentUnionParam{
+ OfInputImage: &responses.ResponseInputImageParam{
+ Type: "input_image",
+ ImageURL: param.NewOpt(imageURL),
+ },
+ })
+ } else if filePart.MediaType == "application/pdf" {
+ base64Encoded := base64.StdEncoding.EncodeToString(filePart.Data)
+ fileData := fmt.Sprintf("data:application/pdf;base64,%s", base64Encoded)
+ filename := filePart.Filename
+ if filename == "" {
+ filename = fmt.Sprintf("part-%d.pdf", i)
+ }
+ contentParts = append(contentParts, responses.ResponseInputContentUnionParam{
+ OfInputFile: &responses.ResponseInputFileParam{
+ Type: "input_file",
+ Filename: param.NewOpt(filename),
+ FileData: param.NewOpt(fileData),
+ },
+ })
+ } else {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: fmt.Sprintf("file part media type %s not supported", filePart.MediaType),
+ })
+ }
+ }
+ }
+
+ input = append(input, responses.ResponseInputItemParamOfMessage(contentParts, responses.EasyInputMessageRoleUser))
+
+ case ai.MessageRoleAssistant:
+ for _, c := range msg.Content {
+ switch c.GetType() {
+ case ai.ContentTypeText:
+ textPart, ok := ai.AsContentType[ai.TextPart](c)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "assistant message text part does not have the right type",
+ })
+ continue
+ }
+ input = append(input, responses.ResponseInputItemParamOfMessage(textPart.Text, responses.EasyInputMessageRoleAssistant))
+
+ case ai.ContentTypeToolCall:
+ toolCallPart, ok := ai.AsContentType[ai.ToolCallPart](c)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "assistant message tool call part does not have the right type",
+ })
+ continue
+ }
+
+ if toolCallPart.ProviderExecuted {
+ continue
+ }
+
+ inputJSON, err := json.Marshal(toolCallPart.Input)
+ if err != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: fmt.Sprintf("failed to marshal tool call input: %v", err),
+ })
+ continue
+ }
+
+ input = append(input, responses.ResponseInputItemParamOfFunctionCall(string(inputJSON), toolCallPart.ToolCallID, toolCallPart.ToolName))
+ case ai.ContentTypeReasoning:
+ reasoningMetadata := getReasoningMetadata(c.Options())
+ if reasoningMetadata == nil || reasoningMetadata.ItemID == "" {
+ continue
+ }
+ if len(reasoningMetadata.Summary) == 0 && reasoningMetadata.EncryptedContent == nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "assistant message reasoning part does is empty",
+ })
+ continue
+ }
+ // we want to always send an empty array
+ summary := []responses.ResponseReasoningItemSummaryParam{}
+ for _, s := range reasoningMetadata.Summary {
+ summary = append(summary, responses.ResponseReasoningItemSummaryParam{
+ Type: "summary_text",
+ Text: s,
+ })
+ }
+ reasoning := &responses.ResponseReasoningItemParam{
+ ID: reasoningMetadata.ItemID,
+ Summary: summary,
+ }
+ if reasoningMetadata.EncryptedContent != nil {
+ reasoning.EncryptedContent = param.NewOpt(*reasoningMetadata.EncryptedContent)
+ }
+ input = append(input, responses.ResponseInputItemUnionParam{
+ OfReasoning: reasoning,
+ })
+ }
+ }
+
+ case ai.MessageRoleTool:
+ for _, c := range msg.Content {
+ if c.GetType() != ai.ContentTypeToolResult {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "tool message can only have tool result content",
+ })
+ continue
+ }
+
+ toolResultPart, ok := ai.AsContentType[ai.ToolResultPart](c)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "tool message result part does not have the right type",
+ })
+ continue
+ }
+
+ var outputStr string
+ switch toolResultPart.Output.GetType() {
+ case ai.ToolResultContentTypeText:
+ output, ok := ai.AsToolResultOutputType[ai.ToolResultOutputContentText](toolResultPart.Output)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "tool result output does not have the right type",
+ })
+ continue
+ }
+ outputStr = output.Text
+ case ai.ToolResultContentTypeError:
+ output, ok := ai.AsToolResultOutputType[ai.ToolResultOutputContentError](toolResultPart.Output)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "tool result output does not have the right type",
+ })
+ continue
+ }
+ outputStr = output.Error.Error()
+ case ai.ToolResultContentTypeMedia:
+ output, ok := ai.AsToolResultOutputType[ai.ToolResultOutputContentMedia](toolResultPart.Output)
+ if !ok {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: "tool result output does not have the right type",
+ })
+ continue
+ }
+ // For media content, encode as JSON with data and media type
+ mediaContent := map[string]string{
+ "data": output.Data,
+ "media_type": output.MediaType,
+ }
+ jsonBytes, err := json.Marshal(mediaContent)
+ if err != nil {
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeOther,
+ Message: fmt.Sprintf("failed to marshal tool result: %v", err),
+ })
+ continue
+ }
+ outputStr = string(jsonBytes)
+ }
+
+ input = append(input, responses.ResponseInputItemParamOfFunctionCallOutput(toolResultPart.ToolCallID, outputStr))
+ }
+ }
+ }
+
+ return input, warnings
+}
+
+func toResponsesTools(tools []ai.Tool, toolChoice *ai.ToolChoice, options *ResponsesProviderOptions) ([]responses.ToolUnionParam, responses.ResponseNewParamsToolChoiceUnion, []ai.CallWarning) {
+ warnings := make([]ai.CallWarning, 0)
+ var openaiTools []responses.ToolUnionParam
+
+ if len(tools) == 0 {
+ return nil, responses.ResponseNewParamsToolChoiceUnion{}, nil
+ }
+
+ strictJSONSchema := false
+ if options != nil && options.StrictJSONSchema != nil {
+ strictJSONSchema = *options.StrictJSONSchema
+ }
+
+ for _, tool := range tools {
+ if tool.GetType() == ai.ToolTypeFunction {
+ ft, ok := tool.(ai.FunctionTool)
+ if !ok {
+ continue
+ }
+ openaiTools = append(openaiTools, responses.ToolUnionParam{
+ OfFunction: &responses.FunctionToolParam{
+ Name: ft.Name,
+ Description: param.NewOpt(ft.Description),
+ Parameters: ft.InputSchema,
+ Strict: param.NewOpt(strictJSONSchema),
+ Type: "function",
+ },
+ })
+ continue
+ }
+
+ warnings = append(warnings, ai.CallWarning{
+ Type: ai.CallWarningTypeUnsupportedTool,
+ Tool: tool,
+ Message: "tool is not supported",
+ })
+ }
+
+ if toolChoice == nil {
+ return openaiTools, responses.ResponseNewParamsToolChoiceUnion{}, warnings
+ }
+
+ var openaiToolChoice responses.ResponseNewParamsToolChoiceUnion
+
+ switch *toolChoice {
+ case ai.ToolChoiceAuto:
+ openaiToolChoice = responses.ResponseNewParamsToolChoiceUnion{
+ OfToolChoiceMode: param.NewOpt(responses.ToolChoiceOptionsAuto),
+ }
+ case ai.ToolChoiceNone:
+ openaiToolChoice = responses.ResponseNewParamsToolChoiceUnion{
+ OfToolChoiceMode: param.NewOpt(responses.ToolChoiceOptionsNone),
+ }
+ case ai.ToolChoiceRequired:
+ openaiToolChoice = responses.ResponseNewParamsToolChoiceUnion{
+ OfToolChoiceMode: param.NewOpt(responses.ToolChoiceOptionsRequired),
+ }
+ default:
+ openaiToolChoice = responses.ResponseNewParamsToolChoiceUnion{
+ OfFunctionTool: &responses.ToolChoiceFunctionParam{
+ Type: "function",
+ Name: string(*toolChoice),
+ },
+ }
+ }
+
+ return openaiTools, openaiToolChoice, warnings
+}
+
+func (o responsesLanguageModel) handleError(err error) error {
+ var apiErr *openai.Error
+ if errors.As(err, &apiErr) {
+ requestDump := apiErr.DumpRequest(true)
+ responseDump := apiErr.DumpResponse(true)
+ headers := map[string]string{}
+ for k, h := range apiErr.Response.Header {
+ v := h[len(h)-1]
+ headers[strings.ToLower(k)] = v
+ }
+ return ai.NewAPICallError(
+ apiErr.Message,
+ apiErr.Request.URL.String(),
+ string(requestDump),
+ apiErr.StatusCode,
+ headers,
+ string(responseDump),
+ apiErr,
+ false,
+ )
+ }
+ return err
+}
+
+func (o responsesLanguageModel) Generate(ctx context.Context, call ai.Call) (*ai.Response, error) {
+ params, warnings := o.prepareParams(call)
+ response, err := o.client.Responses.New(ctx, *params)
+ if err != nil {
+ return nil, o.handleError(err)
+ }
+
+ if response.Error.Message != "" {
+ return nil, o.handleError(fmt.Errorf("response error: %s (code: %s)", response.Error.Message, response.Error.Code))
+ }
+
+ var content []ai.Content
+ hasFunctionCall := false
+
+ for _, outputItem := range response.Output {
+ switch outputItem.Type {
+ case "message":
+ for _, contentPart := range outputItem.Content {
+ if contentPart.Type == "output_text" {
+ content = append(content, ai.TextContent{
+ Text: contentPart.Text,
+ })
+
+ for _, annotation := range contentPart.Annotations {
+ switch annotation.Type {
+ case "url_citation":
+ content = append(content, ai.SourceContent{
+ SourceType: ai.SourceTypeURL,
+ ID: uuid.NewString(),
+ URL: annotation.URL,
+ Title: annotation.Title,
+ })
+ case "file_citation":
+ title := "Document"
+ if annotation.Filename != "" {
+ title = annotation.Filename
+ }
+ filename := annotation.Filename
+ if filename == "" {
+ filename = annotation.FileID
+ }
+ content = append(content, ai.SourceContent{
+ SourceType: ai.SourceTypeDocument,
+ ID: uuid.NewString(),
+ MediaType: "text/plain",
+ Title: title,
+ Filename: filename,
+ })
+ }
+ }
+ }
+ }
+
+ case "function_call":
+ hasFunctionCall = true
+ content = append(content, ai.ToolCallContent{
+ ProviderExecuted: false,
+ ToolCallID: outputItem.CallID,
+ ToolName: outputItem.Name,
+ Input: outputItem.Arguments,
+ })
+
+ case "reasoning":
+ metadata := &ResponsesReasoningMetadata{
+ ItemID: outputItem.ID,
+ }
+ if outputItem.EncryptedContent != "" {
+ metadata.EncryptedContent = &outputItem.EncryptedContent
+ }
+
+ if len(outputItem.Summary) == 0 && metadata.EncryptedContent == nil {
+ continue
+ }
+
+ // When there are no summary parts, add an empty reasoning part
+ summaries := outputItem.Summary
+ if len(summaries) == 0 {
+ summaries = []responses.ResponseReasoningItemSummary{{Type: "summary_text", Text: ""}}
+ }
+
+ var summaryParts []string
+
+ for _, s := range summaries {
+ metadata.Summary = append(metadata.Summary, s.Text)
+ summaryParts = append(summaryParts, s.Text)
+ }
+
+ content = append(content, ai.ReasoningContent{
+ Text: strings.Join(summaryParts, "\n"),
+ ProviderMetadata: ai.ProviderMetadata{
+ Name: metadata,
+ },
+ })
+ }
+ }
+
+ usage := ai.Usage{
+ InputTokens: response.Usage.InputTokens,
+ OutputTokens: response.Usage.OutputTokens,
+ TotalTokens: response.Usage.InputTokens + response.Usage.OutputTokens,
+ }
+
+ if response.Usage.OutputTokensDetails.ReasoningTokens != 0 {
+ usage.ReasoningTokens = response.Usage.OutputTokensDetails.ReasoningTokens
+ }
+ if response.Usage.InputTokensDetails.CachedTokens != 0 {
+ usage.CacheReadTokens = response.Usage.InputTokensDetails.CachedTokens
+ }
+
+ finishReason := mapResponsesFinishReason(response.IncompleteDetails.Reason, hasFunctionCall)
+
+ return &ai.Response{
+ Content: content,
+ Usage: usage,
+ FinishReason: finishReason,
+ ProviderMetadata: ai.ProviderMetadata{},
+ Warnings: warnings,
+ }, nil
+}
+
+func mapResponsesFinishReason(reason string, hasFunctionCall bool) ai.FinishReason {
+ if hasFunctionCall {
+ return ai.FinishReasonToolCalls
+ }
+
+ switch reason {
+ case "":
+ return ai.FinishReasonStop
+ case "max_tokens", "max_output_tokens":
+ return ai.FinishReasonLength
+ case "content_filter":
+ return ai.FinishReasonContentFilter
+ default:
+ return ai.FinishReasonOther
+ }
+}
+
+func (o responsesLanguageModel) Stream(ctx context.Context, call ai.Call) (ai.StreamResponse, error) {
+ params, warnings := o.prepareParams(call)
+
+ stream := o.client.Responses.NewStreaming(ctx, *params)
+
+ finishReason := ai.FinishReasonUnknown
+ var usage ai.Usage
+ ongoingToolCalls := make(map[int64]*ongoingToolCall)
+ hasFunctionCall := false
+ activeReasoning := make(map[string]*reasoningState)
+
+ return func(yield func(ai.StreamPart) bool) {
+ if len(warnings) > 0 {
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeWarnings,
+ Warnings: warnings,
+ }) {
+ return
+ }
+ }
+
+ for stream.Next() {
+ event := stream.Current()
+
+ switch event.Type {
+ case "response.created":
+ _ = event.AsResponseCreated()
+
+ case "response.output_item.added":
+ added := event.AsResponseOutputItemAdded()
+ switch added.Item.Type {
+ case "function_call":
+ ongoingToolCalls[added.OutputIndex] = &ongoingToolCall{
+ toolName: added.Item.Name,
+ toolCallID: added.Item.CallID,
+ }
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeToolInputStart,
+ ID: added.Item.CallID,
+ ToolCallName: added.Item.Name,
+ }) {
+ return
+ }
+
+ case "message":
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeTextStart,
+ ID: added.Item.ID,
+ }) {
+ return
+ }
+
+ case "reasoning":
+ metadata := &ResponsesReasoningMetadata{
+ ItemID: added.Item.ID,
+ Summary: []string{},
+ }
+ if added.Item.EncryptedContent != "" {
+ metadata.EncryptedContent = &added.Item.EncryptedContent
+ }
+
+ activeReasoning[added.Item.ID] = &reasoningState{
+ metadata: metadata,
+ }
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeReasoningStart,
+ ID: added.Item.ID,
+ ProviderMetadata: ai.ProviderMetadata{
+ Name: metadata,
+ },
+ }) {
+ return
+ }
+ }
+
+ case "response.output_item.done":
+ done := event.AsResponseOutputItemDone()
+ switch done.Item.Type {
+ case "function_call":
+ tc := ongoingToolCalls[done.OutputIndex]
+ if tc != nil {
+ delete(ongoingToolCalls, done.OutputIndex)
+ hasFunctionCall = true
+
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeToolInputEnd,
+ ID: done.Item.CallID,
+ }) {
+ return
+ }
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeToolCall,
+ ID: done.Item.CallID,
+ ToolCallName: done.Item.Name,
+ ToolCallInput: done.Item.Arguments,
+ }) {
+ return
+ }
+ }
+
+ case "message":
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeTextEnd,
+ ID: done.Item.ID,
+ }) {
+ return
+ }
+
+ case "reasoning":
+ state := activeReasoning[done.Item.ID]
+ if state != nil {
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeReasoningEnd,
+ ID: done.Item.ID,
+ ProviderMetadata: ai.ProviderMetadata{
+ Name: state.metadata,
+ },
+ }) {
+ return
+ }
+ delete(activeReasoning, done.Item.ID)
+ }
+ }
+
+ case "response.function_call_arguments.delta":
+ delta := event.AsResponseFunctionCallArgumentsDelta()
+ tc := ongoingToolCalls[delta.OutputIndex]
+ if tc != nil {
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeToolInputDelta,
+ ID: tc.toolCallID,
+ Delta: delta.Delta,
+ }) {
+ return
+ }
+ }
+
+ case "response.output_text.delta":
+ textDelta := event.AsResponseOutputTextDelta()
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeTextDelta,
+ ID: textDelta.ItemID,
+ Delta: textDelta.Delta,
+ }) {
+ return
+ }
+
+ case "response.reasoning_summary_part.added":
+ added := event.AsResponseReasoningSummaryPartAdded()
+ state := activeReasoning[added.ItemID]
+ if state != nil {
+ state.metadata.Summary = append(state.metadata.Summary, "")
+ activeReasoning[added.ItemID] = state
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeReasoningDelta,
+ ID: added.ItemID,
+ Delta: "\n",
+ ProviderMetadata: ai.ProviderMetadata{
+ Name: state.metadata,
+ },
+ }) {
+ return
+ }
+ }
+
+ case "response.reasoning_summary_text.delta":
+ textDelta := event.AsResponseReasoningSummaryTextDelta()
+ state := activeReasoning[textDelta.ItemID]
+ if state != nil {
+ if len(state.metadata.Summary)-1 >= int(textDelta.SummaryIndex) {
+ state.metadata.Summary[textDelta.SummaryIndex] += textDelta.Delta
+ }
+ activeReasoning[textDelta.ItemID] = state
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeReasoningDelta,
+ ID: textDelta.ItemID,
+ Delta: textDelta.Delta,
+ ProviderMetadata: ai.ProviderMetadata{
+ Name: state.metadata,
+ },
+ }) {
+ return
+ }
+ }
+
+ case "response.completed", "response.incomplete":
+ completed := event.AsResponseCompleted()
+ finishReason = mapResponsesFinishReason(completed.Response.IncompleteDetails.Reason, hasFunctionCall)
+ usage = ai.Usage{
+ InputTokens: completed.Response.Usage.InputTokens,
+ OutputTokens: completed.Response.Usage.OutputTokens,
+ TotalTokens: completed.Response.Usage.InputTokens + completed.Response.Usage.OutputTokens,
+ }
+ if completed.Response.Usage.OutputTokensDetails.ReasoningTokens != 0 {
+ usage.ReasoningTokens = completed.Response.Usage.OutputTokensDetails.ReasoningTokens
+ }
+ if completed.Response.Usage.InputTokensDetails.CachedTokens != 0 {
+ usage.CacheReadTokens = completed.Response.Usage.InputTokensDetails.CachedTokens
+ }
+
+ case "error":
+ errorEvent := event.AsError()
+ if !yield(ai.StreamPart{
+ Type: ai.StreamPartTypeError,
+ Error: fmt.Errorf("response error: %s (code: %s)", errorEvent.Message, errorEvent.Code),
+ }) {
+ return
+ }
+ return
+ }
+ }
+
+ err := stream.Err()
+ if err != nil {
+ yield(ai.StreamPart{
+ Type: ai.StreamPartTypeError,
+ Error: o.handleError(err),
+ })
+ return
+ }
+
+ yield(ai.StreamPart{
+ Type: ai.StreamPartTypeFinish,
+ Usage: usage,
+ FinishReason: finishReason,
+ })
+ }, nil
+}
+
+func getReasoningMetadata(providerOptions ai.ProviderOptions) *ResponsesReasoningMetadata {
+ if openaiResponsesOptions, ok := providerOptions[Name]; ok {
+ if reasoning, ok := openaiResponsesOptions.(*ResponsesReasoningMetadata); ok {
+ return reasoning
+ }
+ }
+ return nil
+}
+
+type ongoingToolCall struct {
+ toolName string
+ toolCallID string
+}
+
+type reasoningState struct {
+ metadata *ResponsesReasoningMetadata
+}
@@ -0,0 +1,128 @@
+package openai
+
+import (
+ "slices"
+
+ "github.com/charmbracelet/fantasy/ai"
+)
+
+type ResponsesReasoningMetadata struct {
+ ItemID string `json:"item_id"`
+ EncryptedContent *string `json:"encrypted_content"`
+ Summary []string `json:"summary"`
+}
+
+func (*ResponsesReasoningMetadata) Options() {}
+
+type IncludeType string
+
+const (
+ IncludeReasoningEncryptedContent IncludeType = "reasoning.encrypted_content"
+ IncludeFileSearchCallResults IncludeType = "file_search_call.results"
+ IncludeMessageOutputTextLogprobs IncludeType = "message.output_text.logprobs"
+)
+
+type ServiceTier string
+
+const (
+ ServiceTierAuto ServiceTier = "auto"
+ ServiceTierFlex ServiceTier = "flex"
+ ServiceTierPriority ServiceTier = "priority"
+)
+
+type TextVerbosity string
+
+const (
+ TextVerbosityLow TextVerbosity = "low"
+ TextVerbosityMedium TextVerbosity = "medium"
+ TextVerbosityHigh TextVerbosity = "high"
+)
+
+type ResponsesProviderOptions struct {
+ Include []IncludeType `json:"include"`
+ Instructions *string `json:"instructions"`
+ Logprobs any `json:"logprobs"`
+ MaxToolCalls *int64 `json:"max_tool_calls"`
+ Metadata map[string]any `json:"metadata"`
+ ParallelToolCalls *bool `json:"parallel_tool_calls"`
+ PromptCacheKey *string `json:"prompt_cache_key"`
+ ReasoningEffort *ReasoningEffort `json:"reasoning_effort"`
+ ReasoningSummary *string `json:"reasoning_summary"`
+ SafetyIdentifier *string `json:"safety_identifier"`
+ ServiceTier *ServiceTier `json:"service_tier"`
+ StrictJSONSchema *bool `json:"strict_json_schema"`
+ TextVerbosity *TextVerbosity `json:"text_verbosity"`
+ User *string `json:"user"`
+}
+
+var responsesReasoningModelIds = []string{
+ "o1",
+ "o1-2024-12-17",
+ "o3-mini",
+ "o3-mini-2025-01-31",
+ "o3",
+ "o3-2025-04-16",
+ "o4-mini",
+ "o4-mini-2025-04-16",
+ "codex-mini-latest",
+ "gpt-5",
+ "gpt-5-2025-08-07",
+ "gpt-5-mini",
+ "gpt-5-mini-2025-08-07",
+ "gpt-5-nano",
+ "gpt-5-nano-2025-08-07",
+ "gpt-5-codex",
+}
+
+var responsesModelIds = append([]string{
+ "gpt-4.1",
+ "gpt-4.1-2025-04-14",
+ "gpt-4.1-mini",
+ "gpt-4.1-mini-2025-04-14",
+ "gpt-4.1-nano",
+ "gpt-4.1-nano-2025-04-14",
+ "gpt-4o",
+ "gpt-4o-2024-05-13",
+ "gpt-4o-2024-08-06",
+ "gpt-4o-2024-11-20",
+ "gpt-4o-mini",
+ "gpt-4o-mini-2024-07-18",
+ "gpt-4-turbo",
+ "gpt-4-turbo-2024-04-09",
+ "gpt-4-turbo-preview",
+ "gpt-4-0125-preview",
+ "gpt-4-1106-preview",
+ "gpt-4",
+ "gpt-4-0613",
+ "gpt-4.5-preview",
+ "gpt-4.5-preview-2025-02-27",
+ "gpt-3.5-turbo-0125",
+ "gpt-3.5-turbo",
+ "gpt-3.5-turbo-1106",
+ "chatgpt-4o-latest",
+ "gpt-5-chat-latest",
+}, responsesReasoningModelIds...)
+
+func (*ResponsesProviderOptions) Options() {}
+
+func NewResponsesProviderOptions(opts *ResponsesProviderOptions) ai.ProviderOptions {
+ return ai.ProviderOptions{
+ Name: opts,
+ }
+}
+
+func ParseResponsesOptions(data map[string]any) (*ResponsesProviderOptions, error) {
+ var options ResponsesProviderOptions
+ if err := ai.ParseOptions(data, &options); err != nil {
+ return nil, err
+ }
+ return &options, nil
+}
+
+func IsResponsesModel(modelID string) bool {
+ return slices.Contains(responsesModelIds, modelID)
+}
+
+func IsResponsesReasoningModel(modelID string) bool {
+ return slices.Contains(responsesReasoningModelIds, modelID)
+}
@@ -65,7 +65,7 @@ func testSimple(t *testing.T, pair builderPair) {
result, err := agent.Generate(t.Context(), ai.AgentCall{
Prompt: "Say hi in Portuguese",
ProviderOptions: pair.providerOptions,
- MaxOutputTokens: ai.IntOption(4000),
+ MaxOutputTokens: ai.Opt(int64(4000)),
})
require.NoError(t, err, "failed to generate")
checkResult(t, result)
@@ -83,7 +83,7 @@ func testSimple(t *testing.T, pair builderPair) {
result, err := agent.Stream(t.Context(), ai.AgentStreamCall{
Prompt: "Say hi in Portuguese",
ProviderOptions: pair.providerOptions,
- MaxOutputTokens: ai.IntOption(4000),
+ MaxOutputTokens: ai.Opt(int64(4000)),
})
require.NoError(t, err, "failed to generate")
checkResult(t, result)
@@ -137,7 +137,7 @@ func testTool(t *testing.T, pair builderPair) {
result, err := agent.Generate(t.Context(), ai.AgentCall{
Prompt: "What's the weather in Florence,Italy?",
ProviderOptions: pair.providerOptions,
- MaxOutputTokens: ai.IntOption(4000),
+ MaxOutputTokens: ai.Opt(int64(4000)),
})
require.NoError(t, err, "failed to generate")
checkResult(t, result)
@@ -156,7 +156,7 @@ func testTool(t *testing.T, pair builderPair) {
result, err := agent.Stream(t.Context(), ai.AgentStreamCall{
Prompt: "What's the weather in Florence,Italy?",
ProviderOptions: pair.providerOptions,
- MaxOutputTokens: ai.IntOption(4000),
+ MaxOutputTokens: ai.Opt(int64(4000)),
})
require.NoError(t, err, "failed to generate")
checkResult(t, result)
@@ -174,6 +174,9 @@ func testMultiTool(t *testing.T, pair builderPair) {
if strings.Contains(pair.name, "bedrock") && strings.Contains(pair.name, "claude") {
t.Skip("skipping multi-tool tests for bedrock claude as it does not support parallel multi-tool calls")
}
+ if strings.Contains(pair.name, "openai") && strings.Contains(pair.name, "o4-mini") {
+ t.Skip("skipping multi-tool tests for openai o4-mini it for some reason is not doing parallel tool calls even if asked")
+ }
type CalculatorInput struct {
A int `json:"a" description:"first number"`
@@ -230,7 +233,7 @@ func testMultiTool(t *testing.T, pair builderPair) {
result, err := agent.Generate(t.Context(), ai.AgentCall{
Prompt: "Add and multiply the number 2 and 3",
ProviderOptions: pair.providerOptions,
- MaxOutputTokens: ai.IntOption(4000),
+ MaxOutputTokens: ai.Opt(int64(4000)),
})
require.NoError(t, err, "failed to generate")
checkResult(t, result)
@@ -250,7 +253,7 @@ func testMultiTool(t *testing.T, pair builderPair) {
result, err := agent.Stream(t.Context(), ai.AgentStreamCall{
Prompt: "Add and multiply the number 2 and 3",
ProviderOptions: pair.providerOptions,
- MaxOutputTokens: ai.IntOption(4000),
+ MaxOutputTokens: ai.Opt(int64(4000)),
})
require.NoError(t, err, "failed to generate")
checkResult(t, result)
@@ -38,8 +38,8 @@ func TestGoogleThinking(t *testing.T) {
opts := ai.ProviderOptions{
google.Name: &google.ProviderOptions{
ThinkingConfig: &google.ThinkingConfig{
- ThinkingBudget: ai.IntOption(100),
- IncludeThoughts: ai.BoolOption(true),
+ ThinkingBudget: ai.Opt(int64(100)),
+ IncludeThoughts: ai.Opt(true),
},
},
}
@@ -0,0 +1,85 @@
+package providertests
+
+import (
+ "net/http"
+ "os"
+ "testing"
+
+ "github.com/charmbracelet/fantasy/ai"
+ "github.com/charmbracelet/fantasy/openai"
+ "github.com/stretchr/testify/require"
+ "gopkg.in/dnaeon/go-vcr.v4/pkg/recorder"
+)
+
+func TestOpenAIResponsesCommon(t *testing.T) {
+ var pairs []builderPair
+ for _, m := range openaiTestModels {
+ pairs = append(pairs, builderPair{m.name, openAIReasoningBuilder(m.model), nil})
+ }
+ testCommon(t, pairs)
+}
+
+func openAIReasoningBuilder(model string) builderFunc {
+ return func(r *recorder.Recorder) (ai.LanguageModel, error) {
+ provider := openai.New(
+ openai.WithAPIKey(os.Getenv("FANTASY_OPENAI_API_KEY")),
+ openai.WithHTTPClient(&http.Client{Transport: r}),
+ openai.WithUseResponsesAPI(),
+ )
+ return provider.LanguageModel(model)
+ }
+}
+
+func TestOpenAIResponsesWithSummaryThinking(t *testing.T) {
+ opts := ai.ProviderOptions{
+ openai.Name: &openai.ResponsesProviderOptions{
+ Include: []openai.IncludeType{
+ openai.IncludeReasoningEncryptedContent,
+ },
+ ReasoningEffort: openai.ReasoningEffortOption(openai.ReasoningEffortHigh),
+ ReasoningSummary: ai.Opt("auto"),
+ },
+ }
+ var pairs []builderPair
+ for _, m := range openaiTestModels {
+ if !m.reasoning {
+ continue
+ }
+ pairs = append(pairs, builderPair{m.name, openAIReasoningBuilder(m.model), opts})
+ }
+ testThinking(t, pairs, testOpenAIResponsesThinkingWithSummaryThinking)
+}
+
+func testOpenAIResponsesThinkingWithSummaryThinking(t *testing.T, result *ai.AgentResult) {
+ reasoningContentCount := 0
+ encryptedData := 0
+ // Test if we got the signature
+ for _, step := range result.Steps {
+ for _, msg := range step.Messages {
+ for _, content := range msg.Content {
+ if content.GetType() == ai.ContentTypeReasoning {
+ reasoningContentCount += 1
+ reasoningContent, ok := ai.AsContentType[ai.ReasoningPart](content)
+ if !ok {
+ continue
+ }
+ if len(reasoningContent.ProviderOptions) == 0 {
+ continue
+ }
+
+ openaiReasoningMetadata, ok := reasoningContent.ProviderOptions[openai.Name]
+ if !ok {
+ continue
+ }
+ if typed, ok := openaiReasoningMetadata.(*openai.ResponsesReasoningMetadata); ok {
+ require.NotEmpty(t, typed.EncryptedContent)
+ encryptedData += 1
+ }
+ }
+ }
+ }
+ }
+ require.Greater(t, reasoningContentCount, 0)
+ require.Greater(t, encryptedData, 0)
+ require.Equal(t, reasoningContentCount, encryptedData)
+}
@@ -10,34 +10,27 @@ import (
"gopkg.in/dnaeon/go-vcr.v4/pkg/recorder"
)
-func TestOpenAICommon(t *testing.T) {
- testCommon(t, []builderPair{
- {"gpt-4o", builderOpenaiGpt4o, nil},
- {"gpt-4o-mini", builderOpenaiGpt4oMini, nil},
- {"gpt-5", builderOpenaiGpt5, nil},
- })
-}
-
-func builderOpenaiGpt4o(r *recorder.Recorder) (ai.LanguageModel, error) {
- provider := openai.New(
- openai.WithAPIKey(os.Getenv("FANTASY_OPENAI_API_KEY")),
- openai.WithHTTPClient(&http.Client{Transport: r}),
- )
- return provider.LanguageModel("gpt-4o")
+var openaiTestModels = []testModel{
+ {"openai-gpt-4o", "gpt-4o", false},
+ {"openai-gpt-4o-mini", "gpt-4o-mini", false},
+ {"openai-gpt-5", "gpt-5", true},
+ {"openai-o4-mini", "o4-mini", true},
}
-func builderOpenaiGpt4oMini(r *recorder.Recorder) (ai.LanguageModel, error) {
- provider := openai.New(
- openai.WithAPIKey(os.Getenv("FANTASY_OPENAI_API_KEY")),
- openai.WithHTTPClient(&http.Client{Transport: r}),
- )
- return provider.LanguageModel("gpt-4o-mini")
+func TestOpenAICommon(t *testing.T) {
+ var pairs []builderPair
+ for _, m := range openaiTestModels {
+ pairs = append(pairs, builderPair{m.name, openAIBuilder(m.model), nil})
+ }
+ testCommon(t, pairs)
}
-func builderOpenaiGpt5(r *recorder.Recorder) (ai.LanguageModel, error) {
- provider := openai.New(
- openai.WithAPIKey(os.Getenv("FANTASY_OPENAI_API_KEY")),
- openai.WithHTTPClient(&http.Client{Transport: r}),
- )
- return provider.LanguageModel("gpt-5")
+func openAIBuilder(model string) builderFunc {
+ return func(r *recorder.Recorder) (ai.LanguageModel, error) {
+ provider := openai.New(
+ openai.WithAPIKey(os.Getenv("FANTASY_OPENAI_API_KEY")),
+ openai.WithHTTPClient(&http.Client{Transport: r}),
+ )
+ return provider.LanguageModel(model)
+ }
}
@@ -1,44 +0,0 @@
----
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@@ -1,151 +0,0 @@
----
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- host: ""
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