Integrate BACKBEAT SDK and resolve KACHING license validation
Major integrations and fixes: - Added BACKBEAT SDK integration for P2P operation timing - Implemented beat-aware status tracking for distributed operations - Added Docker secrets support for secure license management - Resolved KACHING license validation via HTTPS/TLS - Updated docker-compose configuration for clean stack deployment - Disabled rollback policies to prevent deployment failures - Added license credential storage (CHORUS-DEV-MULTI-001) Technical improvements: - BACKBEAT P2P operation tracking with phase management - Enhanced configuration system with file-based secrets - Improved error handling for license validation - Clean separation of KACHING and CHORUS deployment stacks 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
anthonyrawlins
492
vendor/github.com/sashabaranov/go-openai/chat.go
generated
vendored
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492
vendor/github.com/sashabaranov/go-openai/chat.go
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vendored
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@@ -0,0 +1,492 @@
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package openai
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|
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import (
|
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"context"
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"encoding/json"
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"errors"
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"net/http"
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"github.com/sashabaranov/go-openai/jsonschema"
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)
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||||
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// Chat message role defined by the OpenAI API.
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const (
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||||
ChatMessageRoleSystem = "system"
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ChatMessageRoleUser = "user"
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ChatMessageRoleAssistant = "assistant"
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ChatMessageRoleFunction = "function"
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||||
ChatMessageRoleTool = "tool"
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ChatMessageRoleDeveloper = "developer"
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)
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const chatCompletionsSuffix = "/chat/completions"
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var (
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||||
ErrChatCompletionInvalidModel = errors.New("this model is not supported with this method, please use CreateCompletion client method instead") //nolint:lll
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ErrChatCompletionStreamNotSupported = errors.New("streaming is not supported with this method, please use CreateChatCompletionStream") //nolint:lll
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||||
ErrContentFieldsMisused = errors.New("can't use both Content and MultiContent properties simultaneously")
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)
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||||
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type Hate struct {
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||||
Filtered bool `json:"filtered"`
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Severity string `json:"severity,omitempty"`
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}
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type SelfHarm struct {
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Filtered bool `json:"filtered"`
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Severity string `json:"severity,omitempty"`
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||||
}
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||||
type Sexual struct {
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Filtered bool `json:"filtered"`
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Severity string `json:"severity,omitempty"`
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||||
}
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||||
type Violence struct {
|
||||
Filtered bool `json:"filtered"`
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||||
Severity string `json:"severity,omitempty"`
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||||
}
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||||
|
||||
type JailBreak struct {
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Filtered bool `json:"filtered"`
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Detected bool `json:"detected"`
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}
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|
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type Profanity struct {
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Filtered bool `json:"filtered"`
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Detected bool `json:"detected"`
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}
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|
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type ContentFilterResults struct {
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Hate Hate `json:"hate,omitempty"`
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SelfHarm SelfHarm `json:"self_harm,omitempty"`
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Sexual Sexual `json:"sexual,omitempty"`
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Violence Violence `json:"violence,omitempty"`
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JailBreak JailBreak `json:"jailbreak,omitempty"`
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Profanity Profanity `json:"profanity,omitempty"`
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||||
}
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||||
|
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type PromptAnnotation struct {
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PromptIndex int `json:"prompt_index,omitempty"`
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ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"`
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}
|
||||
|
||||
type ImageURLDetail string
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||||
|
||||
const (
|
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ImageURLDetailHigh ImageURLDetail = "high"
|
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ImageURLDetailLow ImageURLDetail = "low"
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ImageURLDetailAuto ImageURLDetail = "auto"
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)
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|
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type ChatMessageImageURL struct {
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URL string `json:"url,omitempty"`
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Detail ImageURLDetail `json:"detail,omitempty"`
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}
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type ChatMessagePartType string
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||||
|
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const (
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||||
ChatMessagePartTypeText ChatMessagePartType = "text"
|
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ChatMessagePartTypeImageURL ChatMessagePartType = "image_url"
|
||||
)
|
||||
|
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type ChatMessagePart struct {
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Type ChatMessagePartType `json:"type,omitempty"`
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||||
Text string `json:"text,omitempty"`
|
||||
ImageURL *ChatMessageImageURL `json:"image_url,omitempty"`
|
||||
}
|
||||
|
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type ChatCompletionMessage struct {
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||||
Role string `json:"role"`
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Content string `json:"content,omitempty"`
|
||||
Refusal string `json:"refusal,omitempty"`
|
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MultiContent []ChatMessagePart
|
||||
|
||||
// This property isn't in the official documentation, but it's in
|
||||
// the documentation for the official library for python:
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||||
// - https://github.com/openai/openai-python/blob/main/chatml.md
|
||||
// - https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
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||||
Name string `json:"name,omitempty"`
|
||||
|
||||
// This property is used for the "reasoning" feature supported by deepseek-reasoner
|
||||
// which is not in the official documentation.
|
||||
// the doc from deepseek:
|
||||
// - https://api-docs.deepseek.com/api/create-chat-completion#responses
|
||||
ReasoningContent string `json:"reasoning_content,omitempty"`
|
||||
|
||||
FunctionCall *FunctionCall `json:"function_call,omitempty"`
|
||||
|
||||
// For Role=assistant prompts this may be set to the tool calls generated by the model, such as function calls.
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
|
||||
|
||||
// For Role=tool prompts this should be set to the ID given in the assistant's prior request to call a tool.
|
||||
ToolCallID string `json:"tool_call_id,omitempty"`
|
||||
}
|
||||
|
||||
func (m ChatCompletionMessage) MarshalJSON() ([]byte, error) {
|
||||
if m.Content != "" && m.MultiContent != nil {
|
||||
return nil, ErrContentFieldsMisused
|
||||
}
|
||||
if len(m.MultiContent) > 0 {
|
||||
msg := struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"-"`
|
||||
Refusal string `json:"refusal,omitempty"`
|
||||
MultiContent []ChatMessagePart `json:"content,omitempty"`
|
||||
Name string `json:"name,omitempty"`
|
||||
ReasoningContent string `json:"reasoning_content,omitempty"`
|
||||
FunctionCall *FunctionCall `json:"function_call,omitempty"`
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
|
||||
ToolCallID string `json:"tool_call_id,omitempty"`
|
||||
}(m)
|
||||
return json.Marshal(msg)
|
||||
}
|
||||
|
||||
msg := struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"content,omitempty"`
|
||||
Refusal string `json:"refusal,omitempty"`
|
||||
MultiContent []ChatMessagePart `json:"-"`
|
||||
Name string `json:"name,omitempty"`
|
||||
ReasoningContent string `json:"reasoning_content,omitempty"`
|
||||
FunctionCall *FunctionCall `json:"function_call,omitempty"`
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
|
||||
ToolCallID string `json:"tool_call_id,omitempty"`
|
||||
}(m)
|
||||
return json.Marshal(msg)
|
||||
}
|
||||
|
||||
func (m *ChatCompletionMessage) UnmarshalJSON(bs []byte) error {
|
||||
msg := struct {
|
||||
Role string `json:"role"`
|
||||
Content string `json:"content"`
|
||||
Refusal string `json:"refusal,omitempty"`
|
||||
MultiContent []ChatMessagePart
|
||||
Name string `json:"name,omitempty"`
|
||||
ReasoningContent string `json:"reasoning_content,omitempty"`
|
||||
FunctionCall *FunctionCall `json:"function_call,omitempty"`
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
|
||||
ToolCallID string `json:"tool_call_id,omitempty"`
|
||||
}{}
|
||||
|
||||
if err := json.Unmarshal(bs, &msg); err == nil {
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||||
*m = ChatCompletionMessage(msg)
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||||
return nil
|
||||
}
|
||||
multiMsg := struct {
|
||||
Role string `json:"role"`
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||||
Content string
|
||||
Refusal string `json:"refusal,omitempty"`
|
||||
MultiContent []ChatMessagePart `json:"content"`
|
||||
Name string `json:"name,omitempty"`
|
||||
ReasoningContent string `json:"reasoning_content,omitempty"`
|
||||
FunctionCall *FunctionCall `json:"function_call,omitempty"`
|
||||
ToolCalls []ToolCall `json:"tool_calls,omitempty"`
|
||||
ToolCallID string `json:"tool_call_id,omitempty"`
|
||||
}{}
|
||||
if err := json.Unmarshal(bs, &multiMsg); err != nil {
|
||||
return err
|
||||
}
|
||||
*m = ChatCompletionMessage(multiMsg)
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||||
return nil
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||||
}
|
||||
|
||||
type ToolCall struct {
|
||||
// Index is not nil only in chat completion chunk object
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Index *int `json:"index,omitempty"`
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||||
ID string `json:"id,omitempty"`
|
||||
Type ToolType `json:"type"`
|
||||
Function FunctionCall `json:"function"`
|
||||
}
|
||||
|
||||
type FunctionCall struct {
|
||||
Name string `json:"name,omitempty"`
|
||||
// call function with arguments in JSON format
|
||||
Arguments string `json:"arguments,omitempty"`
|
||||
}
|
||||
|
||||
type ChatCompletionResponseFormatType string
|
||||
|
||||
const (
|
||||
ChatCompletionResponseFormatTypeJSONObject ChatCompletionResponseFormatType = "json_object"
|
||||
ChatCompletionResponseFormatTypeJSONSchema ChatCompletionResponseFormatType = "json_schema"
|
||||
ChatCompletionResponseFormatTypeText ChatCompletionResponseFormatType = "text"
|
||||
)
|
||||
|
||||
type ChatCompletionResponseFormat struct {
|
||||
Type ChatCompletionResponseFormatType `json:"type,omitempty"`
|
||||
JSONSchema *ChatCompletionResponseFormatJSONSchema `json:"json_schema,omitempty"`
|
||||
}
|
||||
|
||||
type ChatCompletionResponseFormatJSONSchema struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description,omitempty"`
|
||||
Schema json.Marshaler `json:"schema"`
|
||||
Strict bool `json:"strict"`
|
||||
}
|
||||
|
||||
func (r *ChatCompletionResponseFormatJSONSchema) UnmarshalJSON(data []byte) error {
|
||||
type rawJSONSchema struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description,omitempty"`
|
||||
Schema json.RawMessage `json:"schema"`
|
||||
Strict bool `json:"strict"`
|
||||
}
|
||||
var raw rawJSONSchema
|
||||
if err := json.Unmarshal(data, &raw); err != nil {
|
||||
return err
|
||||
}
|
||||
r.Name = raw.Name
|
||||
r.Description = raw.Description
|
||||
r.Strict = raw.Strict
|
||||
if len(raw.Schema) > 0 && string(raw.Schema) != "null" {
|
||||
var d jsonschema.Definition
|
||||
err := json.Unmarshal(raw.Schema, &d)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
r.Schema = &d
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// ChatCompletionRequestExtensions contains third-party OpenAI API extensions
|
||||
// (e.g., vendor-specific implementations like vLLM).
|
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type ChatCompletionRequestExtensions struct {
|
||||
// GuidedChoice is a vLLM-specific extension that restricts the model's output
|
||||
// to one of the predefined string choices provided in this field. This feature
|
||||
// is used to constrain the model's responses to a controlled set of options,
|
||||
// ensuring predictable and consistent outputs in scenarios where specific
|
||||
// choices are required.
|
||||
GuidedChoice []string `json:"guided_choice,omitempty"`
|
||||
}
|
||||
|
||||
// ChatCompletionRequest represents a request structure for chat completion API.
|
||||
type ChatCompletionRequest struct {
|
||||
Model string `json:"model"`
|
||||
Messages []ChatCompletionMessage `json:"messages"`
|
||||
// MaxTokens The maximum number of tokens that can be generated in the chat completion.
|
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// This value can be used to control costs for text generated via API.
|
||||
// Deprecated: use MaxCompletionTokens. Not compatible with o1-series models.
|
||||
// refs: https://platform.openai.com/docs/api-reference/chat/create#chat-create-max_tokens
|
||||
MaxTokens int `json:"max_tokens,omitempty"`
|
||||
// MaxCompletionTokens An upper bound for the number of tokens that can be generated for a completion,
|
||||
// including visible output tokens and reasoning tokens https://platform.openai.com/docs/guides/reasoning
|
||||
MaxCompletionTokens int `json:"max_completion_tokens,omitempty"`
|
||||
Temperature float32 `json:"temperature,omitempty"`
|
||||
TopP float32 `json:"top_p,omitempty"`
|
||||
N int `json:"n,omitempty"`
|
||||
Stream bool `json:"stream,omitempty"`
|
||||
Stop []string `json:"stop,omitempty"`
|
||||
PresencePenalty float32 `json:"presence_penalty,omitempty"`
|
||||
ResponseFormat *ChatCompletionResponseFormat `json:"response_format,omitempty"`
|
||||
Seed *int `json:"seed,omitempty"`
|
||||
FrequencyPenalty float32 `json:"frequency_penalty,omitempty"`
|
||||
// LogitBias is must be a token id string (specified by their token ID in the tokenizer), not a word string.
|
||||
// incorrect: `"logit_bias":{"You": 6}`, correct: `"logit_bias":{"1639": 6}`
|
||||
// refs: https://platform.openai.com/docs/api-reference/chat/create#chat/create-logit_bias
|
||||
LogitBias map[string]int `json:"logit_bias,omitempty"`
|
||||
// LogProbs indicates whether to return log probabilities of the output tokens or not.
|
||||
// If true, returns the log probabilities of each output token returned in the content of message.
|
||||
// This option is currently not available on the gpt-4-vision-preview model.
|
||||
LogProbs bool `json:"logprobs,omitempty"`
|
||||
// TopLogProbs is an integer between 0 and 5 specifying the number of most likely tokens to return at each
|
||||
// token position, each with an associated log probability.
|
||||
// logprobs must be set to true if this parameter is used.
|
||||
TopLogProbs int `json:"top_logprobs,omitempty"`
|
||||
User string `json:"user,omitempty"`
|
||||
// Deprecated: use Tools instead.
|
||||
Functions []FunctionDefinition `json:"functions,omitempty"`
|
||||
// Deprecated: use ToolChoice instead.
|
||||
FunctionCall any `json:"function_call,omitempty"`
|
||||
Tools []Tool `json:"tools,omitempty"`
|
||||
// This can be either a string or an ToolChoice object.
|
||||
ToolChoice any `json:"tool_choice,omitempty"`
|
||||
// Options for streaming response. Only set this when you set stream: true.
|
||||
StreamOptions *StreamOptions `json:"stream_options,omitempty"`
|
||||
// Disable the default behavior of parallel tool calls by setting it: false.
|
||||
ParallelToolCalls any `json:"parallel_tool_calls,omitempty"`
|
||||
// Store can be set to true to store the output of this completion request for use in distillations and evals.
|
||||
// https://platform.openai.com/docs/api-reference/chat/create#chat-create-store
|
||||
Store bool `json:"store,omitempty"`
|
||||
// Controls effort on reasoning for reasoning models. It can be set to "low", "medium", or "high".
|
||||
ReasoningEffort string `json:"reasoning_effort,omitempty"`
|
||||
// Metadata to store with the completion.
|
||||
Metadata map[string]string `json:"metadata,omitempty"`
|
||||
// Configuration for a predicted output.
|
||||
Prediction *Prediction `json:"prediction,omitempty"`
|
||||
// ChatTemplateKwargs provides a way to add non-standard parameters to the request body.
|
||||
// Additional kwargs to pass to the template renderer. Will be accessible by the chat template.
|
||||
// Such as think mode for qwen3. "chat_template_kwargs": {"enable_thinking": false}
|
||||
// https://qwen.readthedocs.io/en/latest/deployment/vllm.html#thinking-non-thinking-modes
|
||||
ChatTemplateKwargs map[string]any `json:"chat_template_kwargs,omitempty"`
|
||||
// Specifies the latency tier to use for processing the request.
|
||||
ServiceTier ServiceTier `json:"service_tier,omitempty"`
|
||||
// A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies.
|
||||
// The IDs should be a string that uniquely identifies each user.
|
||||
// We recommend hashing their username or email address, in order to avoid sending us any identifying information.
|
||||
// https://platform.openai.com/docs/api-reference/chat/create#chat_create-safety_identifier
|
||||
SafetyIdentifier string `json:"safety_identifier,omitempty"`
|
||||
// Embedded struct for non-OpenAI extensions
|
||||
ChatCompletionRequestExtensions
|
||||
}
|
||||
|
||||
type StreamOptions struct {
|
||||
// If set, an additional chunk will be streamed before the data: [DONE] message.
|
||||
// The usage field on this chunk shows the token usage statistics for the entire request,
|
||||
// and the choices field will always be an empty array.
|
||||
// All other chunks will also include a usage field, but with a null value.
|
||||
IncludeUsage bool `json:"include_usage,omitempty"`
|
||||
}
|
||||
|
||||
type ToolType string
|
||||
|
||||
const (
|
||||
ToolTypeFunction ToolType = "function"
|
||||
)
|
||||
|
||||
type Tool struct {
|
||||
Type ToolType `json:"type"`
|
||||
Function *FunctionDefinition `json:"function,omitempty"`
|
||||
}
|
||||
|
||||
type ToolChoice struct {
|
||||
Type ToolType `json:"type"`
|
||||
Function ToolFunction `json:"function,omitempty"`
|
||||
}
|
||||
|
||||
type ToolFunction struct {
|
||||
Name string `json:"name"`
|
||||
}
|
||||
|
||||
type FunctionDefinition struct {
|
||||
Name string `json:"name"`
|
||||
Description string `json:"description,omitempty"`
|
||||
Strict bool `json:"strict,omitempty"`
|
||||
// Parameters is an object describing the function.
|
||||
// You can pass json.RawMessage to describe the schema,
|
||||
// or you can pass in a struct which serializes to the proper JSON schema.
|
||||
// The jsonschema package is provided for convenience, but you should
|
||||
// consider another specialized library if you require more complex schemas.
|
||||
Parameters any `json:"parameters"`
|
||||
}
|
||||
|
||||
// Deprecated: use FunctionDefinition instead.
|
||||
type FunctionDefine = FunctionDefinition
|
||||
|
||||
type TopLogProbs struct {
|
||||
Token string `json:"token"`
|
||||
LogProb float64 `json:"logprob"`
|
||||
Bytes []byte `json:"bytes,omitempty"`
|
||||
}
|
||||
|
||||
// LogProb represents the probability information for a token.
|
||||
type LogProb struct {
|
||||
Token string `json:"token"`
|
||||
LogProb float64 `json:"logprob"`
|
||||
Bytes []byte `json:"bytes,omitempty"` // Omitting the field if it is null
|
||||
// TopLogProbs is a list of the most likely tokens and their log probability, at this token position.
|
||||
// In rare cases, there may be fewer than the number of requested top_logprobs returned.
|
||||
TopLogProbs []TopLogProbs `json:"top_logprobs"`
|
||||
}
|
||||
|
||||
// LogProbs is the top-level structure containing the log probability information.
|
||||
type LogProbs struct {
|
||||
// Content is a list of message content tokens with log probability information.
|
||||
Content []LogProb `json:"content"`
|
||||
}
|
||||
|
||||
type Prediction struct {
|
||||
Content string `json:"content"`
|
||||
Type string `json:"type"`
|
||||
}
|
||||
|
||||
type FinishReason string
|
||||
|
||||
const (
|
||||
FinishReasonStop FinishReason = "stop"
|
||||
FinishReasonLength FinishReason = "length"
|
||||
FinishReasonFunctionCall FinishReason = "function_call"
|
||||
FinishReasonToolCalls FinishReason = "tool_calls"
|
||||
FinishReasonContentFilter FinishReason = "content_filter"
|
||||
FinishReasonNull FinishReason = "null"
|
||||
)
|
||||
|
||||
type ServiceTier string
|
||||
|
||||
const (
|
||||
ServiceTierAuto ServiceTier = "auto"
|
||||
ServiceTierDefault ServiceTier = "default"
|
||||
ServiceTierFlex ServiceTier = "flex"
|
||||
ServiceTierPriority ServiceTier = "priority"
|
||||
)
|
||||
|
||||
func (r FinishReason) MarshalJSON() ([]byte, error) {
|
||||
if r == FinishReasonNull || r == "" {
|
||||
return []byte("null"), nil
|
||||
}
|
||||
return []byte(`"` + string(r) + `"`), nil // best effort to not break future API changes
|
||||
}
|
||||
|
||||
type ChatCompletionChoice struct {
|
||||
Index int `json:"index"`
|
||||
Message ChatCompletionMessage `json:"message"`
|
||||
// FinishReason
|
||||
// stop: API returned complete message,
|
||||
// or a message terminated by one of the stop sequences provided via the stop parameter
|
||||
// length: Incomplete model output due to max_tokens parameter or token limit
|
||||
// function_call: The model decided to call a function
|
||||
// content_filter: Omitted content due to a flag from our content filters
|
||||
// null: API response still in progress or incomplete
|
||||
FinishReason FinishReason `json:"finish_reason"`
|
||||
LogProbs *LogProbs `json:"logprobs,omitempty"`
|
||||
ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"`
|
||||
}
|
||||
|
||||
// ChatCompletionResponse represents a response structure for chat completion API.
|
||||
type ChatCompletionResponse struct {
|
||||
ID string `json:"id"`
|
||||
Object string `json:"object"`
|
||||
Created int64 `json:"created"`
|
||||
Model string `json:"model"`
|
||||
Choices []ChatCompletionChoice `json:"choices"`
|
||||
Usage Usage `json:"usage"`
|
||||
SystemFingerprint string `json:"system_fingerprint"`
|
||||
PromptFilterResults []PromptFilterResult `json:"prompt_filter_results,omitempty"`
|
||||
ServiceTier ServiceTier `json:"service_tier,omitempty"`
|
||||
|
||||
httpHeader
|
||||
}
|
||||
|
||||
// CreateChatCompletion — API call to Create a completion for the chat message.
|
||||
func (c *Client) CreateChatCompletion(
|
||||
ctx context.Context,
|
||||
request ChatCompletionRequest,
|
||||
) (response ChatCompletionResponse, err error) {
|
||||
if request.Stream {
|
||||
err = ErrChatCompletionStreamNotSupported
|
||||
return
|
||||
}
|
||||
|
||||
urlSuffix := chatCompletionsSuffix
|
||||
if !checkEndpointSupportsModel(urlSuffix, request.Model) {
|
||||
err = ErrChatCompletionInvalidModel
|
||||
return
|
||||
}
|
||||
|
||||
reasoningValidator := NewReasoningValidator()
|
||||
if err = reasoningValidator.Validate(request); err != nil {
|
||||
return
|
||||
}
|
||||
|
||||
req, err := c.newRequest(
|
||||
ctx,
|
||||
http.MethodPost,
|
||||
c.fullURL(urlSuffix, withModel(request.Model)),
|
||||
withBody(request),
|
||||
)
|
||||
if err != nil {
|
||||
return
|
||||
}
|
||||
|
||||
err = c.sendRequest(req, &response)
|
||||
return
|
||||
}
|
||||
Reference in New Issue
Block a user