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chat.go
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chat.go
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package openai
import (
"context"
"errors"
"net/http"
)
// Chat message role defined by the OpenAI API.
const (
ChatMessageRoleSystem = "system"
ChatMessageRoleUser = "user"
ChatMessageRoleAssistant = "assistant"
ChatMessageRoleFunction = "function"
)
const chatCompletionsSuffix = "/chat/completions"
var (
ErrChatCompletionInvalidModel = errors.New("this model is not supported with this method, please use CreateCompletion client method instead") //nolint:lll
ErrChatCompletionStreamNotSupported = errors.New("streaming is not supported with this method, please use CreateChatCompletionStream") //nolint:lll
)
type Hate struct {
Filtered bool `json:"filtered"`
Severity string `json:"severity,omitempty"`
}
type SelfHarm struct {
Filtered bool `json:"filtered"`
Severity string `json:"severity,omitempty"`
}
type Sexual struct {
Filtered bool `json:"filtered"`
Severity string `json:"severity,omitempty"`
}
type Violence struct {
Filtered bool `json:"filtered"`
Severity string `json:"severity,omitempty"`
}
type ContentFilterResults struct {
Hate Hate `json:"hate,omitempty"`
SelfHarm SelfHarm `json:"self_harm,omitempty"`
Sexual Sexual `json:"sexual,omitempty"`
Violence Violence `json:"violence,omitempty"`
}
type PromptAnnotation struct {
PromptIndex int `json:"prompt_index,omitempty"`
ContentFilterResults ContentFilterResults `json:"content_filter_results,omitempty"`
}
type ChatCompletionMessage struct {
Role string `json:"role"`
Content string `json:"content"`
// This property isn't in the official documentation, but it's in
// the documentation for the official library for python:
// - 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
Name string `json:"name,omitempty"`
FunctionCall *FunctionCall `json:"function_call,omitempty"`
}
type FunctionCall struct {
Name string `json:"name,omitempty"`
// call function with arguments in JSON format
Arguments string `json:"arguments,omitempty"`
}
// ChatCompletionRequest represents a request structure for chat completion API.
type ChatCompletionRequest struct {
Model string `json:"model"`
Messages []ChatCompletionMessage `json:"messages"`
MaxTokens int `json:"max_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"`
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"`
User string `json:"user,omitempty"`
Functions []FunctionDefinition `json:"functions,omitempty"`
FunctionCall any `json:"function_call,omitempty"`
}
type FunctionDefinition struct {
Name string `json:"name"`
Description string `json:"description,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 FinishReason string
const (
FinishReasonStop FinishReason = "stop"
FinishReasonLength FinishReason = "length"
FinishReasonFunctionCall FinishReason = "function_call"
FinishReasonContentFilter FinishReason = "content_filter"
FinishReasonNull FinishReason = "null"
)
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"`
}
// 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"`
}
// 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
}
req, err := c.newRequest(ctx, http.MethodPost, c.fullURL(urlSuffix, request.Model), withBody(request))
if err != nil {
return
}
err = c.sendRequest(req, &response)
return
}