Files
LocalAI/core/schema/openresponses.go
Ettore Di Giacinto 3387bfaee0 feat(api): add support for open responses specification (#8063)
* feat: openresponses

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add ttl settings, fix tests

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix: register cors middleware by default

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* satisfy schema

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Logitbias and logprobs

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Add grammar

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* SSE compliance

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* tool JSON conversion

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* support background mode

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* swagger

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* drop code. This is handled in the handler

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Small refactorings

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* background mode for MCP

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-01-17 22:11:47 +01:00

307 lines
13 KiB
Go

package schema
import (
"context"
)
// Open Responses status constants
const (
ORStatusQueued = "queued"
ORStatusInProgress = "in_progress"
ORStatusCompleted = "completed"
ORStatusFailed = "failed"
ORStatusIncomplete = "incomplete"
ORStatusCancelled = "cancelled"
)
// OpenResponsesRequest represents a request to the Open Responses API
// https://www.openresponses.org/specification
type OpenResponsesRequest struct {
Model string `json:"model"`
Input interface{} `json:"input"` // string or []ORItemParam
Tools []ORFunctionTool `json:"tools,omitempty"`
ToolChoice interface{} `json:"tool_choice,omitempty"` // "auto"|"required"|"none"|{type:"function",name:"..."}
Stream bool `json:"stream,omitempty"`
MaxOutputTokens *int `json:"max_output_tokens,omitempty"`
Temperature *float64 `json:"temperature,omitempty"`
TopP *float64 `json:"top_p,omitempty"`
Truncation string `json:"truncation,omitempty"` // "auto"|"disabled"
Instructions string `json:"instructions,omitempty"`
Reasoning *ORReasoningParam `json:"reasoning,omitempty"`
Metadata map[string]string `json:"metadata,omitempty"`
PreviousResponseID string `json:"previous_response_id,omitempty"`
// Additional parameters from spec
TextFormat interface{} `json:"text_format,omitempty"` // TextResponseFormat or JsonSchemaResponseFormatParam
ServiceTier string `json:"service_tier,omitempty"` // "auto"|"default"|priority hint
AllowedTools []string `json:"allowed_tools,omitempty"` // Restrict which tools can be invoked
Store *bool `json:"store,omitempty"` // Whether to store the response
Include []string `json:"include,omitempty"` // What to include in response
ParallelToolCalls *bool `json:"parallel_tool_calls,omitempty"` // Allow parallel tool calls
PresencePenalty *float64 `json:"presence_penalty,omitempty"` // Presence penalty (-2.0 to 2.0)
FrequencyPenalty *float64 `json:"frequency_penalty,omitempty"` // Frequency penalty (-2.0 to 2.0)
TopLogprobs *int `json:"top_logprobs,omitempty"` // Number of top logprobs to return
Background *bool `json:"background,omitempty"` // Run request in background
MaxToolCalls *int `json:"max_tool_calls,omitempty"` // Maximum number of tool calls
// OpenAI-compatible extensions (not in Open Responses spec)
LogitBias map[string]float64 `json:"logit_bias,omitempty"` // Map of token IDs to bias values (-100 to 100)
// Internal fields (like OpenAIRequest)
Context context.Context `json:"-"`
Cancel context.CancelFunc `json:"-"`
}
// ModelName implements the LocalAIRequest interface
func (r *OpenResponsesRequest) ModelName(s *string) string {
if s != nil {
r.Model = *s
}
return r.Model
}
// ORFunctionTool represents a function tool definition
type ORFunctionTool struct {
Type string `json:"type"` // always "function"
Name string `json:"name"`
Description string `json:"description,omitempty"`
Parameters map[string]interface{} `json:"parameters,omitempty"`
Strict bool `json:"strict"` // Always include in response
}
// ORReasoningParam represents reasoning configuration
type ORReasoningParam struct {
Effort string `json:"effort,omitempty"` // "none"|"low"|"medium"|"high"|"xhigh"
Summary string `json:"summary,omitempty"` // "auto"|"concise"|"detailed"
}
// ORItemParam represents an input/output item (discriminated union by type)
type ORItemParam struct {
Type string `json:"type"` // message|function_call|function_call_output|reasoning|item_reference
ID string `json:"id,omitempty"` // Present for all output items
Status string `json:"status,omitempty"` // in_progress|completed|incomplete
// Message fields
Role string `json:"role,omitempty"` // user|assistant|system|developer
Content interface{} `json:"content,omitempty"` // string or []ORContentPart for messages
// Function call fields
CallID string `json:"call_id,omitempty"`
Name string `json:"name,omitempty"`
Arguments string `json:"arguments,omitempty"`
// Function call output fields
Output interface{} `json:"output,omitempty"` // string or []ORContentPart
// Note: For item_reference type, use the ID field above to reference the item
}
// ORContentPart represents a content block (discriminated union by type)
// For output_text: type, text, annotations, logprobs are ALL REQUIRED per Open Responses spec
type ORContentPart struct {
Type string `json:"type"` // input_text|input_image|input_file|output_text|refusal
Text string `json:"text"` // REQUIRED for output_text - must always be present (even if empty)
Annotations []ORAnnotation `json:"annotations"` // REQUIRED for output_text - must always be present (use [])
Logprobs []ORLogProb `json:"logprobs"` // REQUIRED for output_text - must always be present (use [])
ImageURL string `json:"image_url,omitempty"`
FileURL string `json:"file_url,omitempty"`
Filename string `json:"filename,omitempty"`
FileData string `json:"file_data,omitempty"`
Refusal string `json:"refusal,omitempty"`
Detail string `json:"detail,omitempty"` // low|high|auto for images
}
// OROutputTextContentPart is an alias for ORContentPart used specifically for output_text
type OROutputTextContentPart = ORContentPart
// ORItemField represents an output item (same structure as ORItemParam)
type ORItemField = ORItemParam
// ORResponseResource represents the main response object
type ORResponseResource struct {
ID string `json:"id"`
Object string `json:"object"` // always "response"
CreatedAt int64 `json:"created_at"`
CompletedAt *int64 `json:"completed_at"` // Required: present as number or null
Status string `json:"status"` // in_progress|completed|failed|incomplete
Model string `json:"model"`
Output []ORItemField `json:"output"`
Error *ORError `json:"error"` // Always present, null if no error
IncompleteDetails *ORIncompleteDetails `json:"incomplete_details"` // Always present, null if complete
PreviousResponseID *string `json:"previous_response_id"`
Instructions *string `json:"instructions"`
// Tool-related fields
Tools []ORFunctionTool `json:"tools"` // Always present, empty array if no tools
ToolChoice interface{} `json:"tool_choice"`
ParallelToolCalls bool `json:"parallel_tool_calls"`
MaxToolCalls *int `json:"max_tool_calls"` // nullable
// Sampling parameters (always required)
Temperature float64 `json:"temperature"`
TopP float64 `json:"top_p"`
PresencePenalty float64 `json:"presence_penalty"`
FrequencyPenalty float64 `json:"frequency_penalty"`
TopLogprobs int `json:"top_logprobs"` // Default to 0
MaxOutputTokens *int `json:"max_output_tokens"`
// Text format configuration
Text *ORTextConfig `json:"text"`
// Truncation and reasoning
Truncation string `json:"truncation"`
Reasoning *ORReasoning `json:"reasoning"` // nullable
// Usage statistics
Usage *ORUsage `json:"usage"` // nullable
// Metadata and operational flags
Metadata map[string]string `json:"metadata"`
Store bool `json:"store"`
Background bool `json:"background"`
ServiceTier string `json:"service_tier"`
// Safety and caching
SafetyIdentifier *string `json:"safety_identifier"` // nullable
PromptCacheKey *string `json:"prompt_cache_key"` // nullable
}
// ORTextConfig represents text format configuration
type ORTextConfig struct {
Format *ORTextFormat `json:"format,omitempty"`
}
// ORTextFormat represents the text format type
type ORTextFormat struct {
Type string `json:"type"` // "text" or "json_schema"
}
// ORError represents an error in the response
type ORError struct {
Type string `json:"type"` // invalid_request|not_found|server_error|model_error|too_many_requests
Code string `json:"code,omitempty"`
Message string `json:"message"`
Param string `json:"param,omitempty"`
}
// ORUsage represents token usage statistics
type ORUsage struct {
InputTokens int `json:"input_tokens"`
OutputTokens int `json:"output_tokens"`
TotalTokens int `json:"total_tokens"`
InputTokensDetails *ORInputTokensDetails `json:"input_tokens_details"` // Always present
OutputTokensDetails *OROutputTokensDetails `json:"output_tokens_details"` // Always present
}
// ORInputTokensDetails represents input token breakdown
type ORInputTokensDetails struct {
CachedTokens int `json:"cached_tokens"` // Always include, even if 0
}
// OROutputTokensDetails represents output token breakdown
type OROutputTokensDetails struct {
ReasoningTokens int `json:"reasoning_tokens"` // Always include, even if 0
}
// ORReasoning represents reasoning configuration and metadata
type ORReasoning struct {
Effort string `json:"effort,omitempty"`
Summary string `json:"summary,omitempty"`
}
// ORIncompleteDetails represents details about why a response was incomplete
type ORIncompleteDetails struct {
Reason string `json:"reason"`
}
// ORStreamEvent represents a streaming event
// Note: Fields like delta, text, logprobs should be set explicitly for events that require them
// The sendSSEEvent function uses a custom serializer to handle conditional field inclusion
type ORStreamEvent struct {
Type string `json:"type"`
SequenceNumber int `json:"sequence_number"`
Response *ORResponseResource `json:"response,omitempty"`
OutputIndex *int `json:"output_index,omitempty"`
ContentIndex *int `json:"content_index,omitempty"`
SummaryIndex *int `json:"summary_index,omitempty"`
ItemID string `json:"item_id,omitempty"`
Item *ORItemField `json:"item,omitempty"`
Part *ORContentPart `json:"part,omitempty"`
Delta *string `json:"delta,omitempty"` // Pointer to distinguish unset from empty
Text *string `json:"text,omitempty"` // Pointer to distinguish unset from empty
Arguments *string `json:"arguments,omitempty"` // Pointer to distinguish unset from empty
Refusal string `json:"refusal,omitempty"`
Error *ORErrorPayload `json:"error,omitempty"`
Logprobs *[]ORLogProb `json:"logprobs,omitempty"` // Pointer to distinguish unset from empty
Obfuscation string `json:"obfuscation,omitempty"`
Annotation *ORAnnotation `json:"annotation,omitempty"`
AnnotationIndex *int `json:"annotation_index,omitempty"`
}
// ORErrorPayload represents an error payload in streaming events
type ORErrorPayload struct {
Type string `json:"type"`
Code string `json:"code,omitempty"`
Message string `json:"message"`
Param string `json:"param,omitempty"`
Headers map[string]string `json:"headers,omitempty"`
}
// ORLogProb represents log probability information
type ORLogProb struct {
Token string `json:"token"`
Logprob float64 `json:"logprob"`
Bytes []int `json:"bytes"`
TopLogprobs []ORTopLogProb `json:"top_logprobs,omitempty"`
}
// ORTopLogProb represents a top log probability
type ORTopLogProb struct {
Token string `json:"token"`
Logprob float64 `json:"logprob"`
Bytes []int `json:"bytes"`
}
// ORAnnotation represents an annotation (e.g., URL citation)
type ORAnnotation struct {
Type string `json:"type"` // url_citation
StartIndex int `json:"start_index"`
EndIndex int `json:"end_index"`
URL string `json:"url"`
Title string `json:"title"`
}
// ORContentPartWithLogprobs creates an output_text content part with logprobs converted from OpenAI format
func ORContentPartWithLogprobs(text string, logprobs *Logprobs) ORContentPart {
orLogprobs := []ORLogProb{}
// Convert OpenAI-style logprobs to Open Responses format
if logprobs != nil && len(logprobs.Content) > 0 {
for _, lp := range logprobs.Content {
// Convert top logprobs
topLPs := []ORTopLogProb{}
for _, tlp := range lp.TopLogprobs {
topLPs = append(topLPs, ORTopLogProb{
Token: tlp.Token,
Logprob: tlp.Logprob,
Bytes: tlp.Bytes,
})
}
orLogprobs = append(orLogprobs, ORLogProb{
Token: lp.Token,
Logprob: lp.Logprob,
Bytes: lp.Bytes,
TopLogprobs: topLPs,
})
}
}
return ORContentPart{
Type: "output_text",
Text: text,
Annotations: []ORAnnotation{}, // REQUIRED - must always be present as array (empty if none)
Logprobs: orLogprobs, // REQUIRED - must always be present as array (empty if none)
}
}