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/
completion.go
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/
completion.go
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package openai
import (
"context"
"errors"
"net/http"
)
var (
ErrCompletionUnsupportedModel = errors.New("this model is not supported with this method, please use CreateChatCompletion client method instead") //nolint:lll
ErrCompletionStreamNotSupported = errors.New("streaming is not supported with this method, please use CreateCompletionStream") //nolint:lll
ErrCompletionRequestPromptTypeNotSupported = errors.New("the type of CompletionRequest.Prompt only supports string and []string") //nolint:lll
)
// GPT3 Defines the models provided by OpenAI to use when generating
// completions from OpenAI.
// GPT3 Models are designed for text-based tasks. For code-specific
// tasks, please refer to the Codex series of models.
const (
GPT432K0613 = "gpt-4-32k-0613"
GPT432K0314 = "gpt-4-32k-0314"
GPT432K = "gpt-4-32k"
GPT40613 = "gpt-4-0613"
GPT40314 = "gpt-4-0314"
GPT4Turbo0125 = "gpt-4-0125-preview"
GPT4Turbo1106 = "gpt-4-1106-preview"
GPT4TurboPreview = "gpt-4-turbo-preview"
GPT4VisionPreview = "gpt-4-vision-preview"
GPT4 = "gpt-4"
GPT3Dot5Turbo0125 = "gpt-3.5-turbo-0125"
GPT3Dot5Turbo1106 = "gpt-3.5-turbo-1106"
GPT3Dot5Turbo0613 = "gpt-3.5-turbo-0613"
GPT3Dot5Turbo0301 = "gpt-3.5-turbo-0301"
GPT3Dot5Turbo16K = "gpt-3.5-turbo-16k"
GPT3Dot5Turbo16K0613 = "gpt-3.5-turbo-16k-0613"
GPT3Dot5Turbo = "gpt-3.5-turbo"
GPT3Dot5TurboInstruct = "gpt-3.5-turbo-instruct"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3TextDavinci003 = "text-davinci-003"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3TextDavinci002 = "text-davinci-002"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3TextCurie001 = "text-curie-001"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3TextBabbage001 = "text-babbage-001"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3TextAda001 = "text-ada-001"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3TextDavinci001 = "text-davinci-001"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3DavinciInstructBeta = "davinci-instruct-beta"
GPT3Davinci = "davinci"
GPT3Davinci002 = "davinci-002"
// Deprecated: Will be shut down on January 04, 2024. Use gpt-3.5-turbo-instruct instead.
GPT3CurieInstructBeta = "curie-instruct-beta"
GPT3Curie = "curie"
GPT3Curie002 = "curie-002"
GPT3Ada = "ada"
GPT3Ada002 = "ada-002"
GPT3Babbage = "babbage"
GPT3Babbage002 = "babbage-002"
)
// Codex Defines the models provided by OpenAI.
// These models are designed for code-specific tasks, and use
// a different tokenizer which optimizes for whitespace.
const (
CodexCodeDavinci002 = "code-davinci-002"
CodexCodeCushman001 = "code-cushman-001"
CodexCodeDavinci001 = "code-davinci-001"
)
var disabledModelsForEndpoints = map[string]map[string]bool{
"/completions": {
GPT3Dot5Turbo: true,
GPT3Dot5Turbo0301: true,
GPT3Dot5Turbo0613: true,
GPT3Dot5Turbo1106: true,
GPT3Dot5Turbo0125: true,
GPT3Dot5Turbo16K: true,
GPT3Dot5Turbo16K0613: true,
GPT4: true,
GPT4TurboPreview: true,
GPT4VisionPreview: true,
GPT4Turbo1106: true,
GPT4Turbo0125: true,
GPT40314: true,
GPT40613: true,
GPT432K: true,
GPT432K0314: true,
GPT432K0613: true,
},
chatCompletionsSuffix: {
CodexCodeDavinci002: true,
CodexCodeCushman001: true,
CodexCodeDavinci001: true,
GPT3TextDavinci003: true,
GPT3TextDavinci002: true,
GPT3TextCurie001: true,
GPT3TextBabbage001: true,
GPT3TextAda001: true,
GPT3TextDavinci001: true,
GPT3DavinciInstructBeta: true,
GPT3Davinci: true,
GPT3CurieInstructBeta: true,
GPT3Curie: true,
GPT3Ada: true,
GPT3Babbage: true,
},
}
func checkEndpointSupportsModel(endpoint, model string) bool {
return !disabledModelsForEndpoints[endpoint][model]
}
func checkPromptType(prompt any) bool {
_, isString := prompt.(string)
_, isStringSlice := prompt.([]string)
return isString || isStringSlice
}
// CompletionRequest represents a request structure for completion API.
type CompletionRequest struct {
Model string `json:"model"`
Prompt any `json:"prompt,omitempty"`
Suffix string `json:"suffix,omitempty"`
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"`
LogProbs int `json:"logprobs,omitempty"`
Echo bool `json:"echo,omitempty"`
Stop []string `json:"stop,omitempty"`
PresencePenalty float32 `json:"presence_penalty,omitempty"`
FrequencyPenalty float32 `json:"frequency_penalty,omitempty"`
BestOf int `json:"best_of,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/completions/create#completions/create-logit_bias
LogitBias map[string]int `json:"logit_bias,omitempty"`
User string `json:"user,omitempty"`
}
// CompletionChoice represents one of possible completions.
type CompletionChoice struct {
Text string `json:"text"`
Index int `json:"index"`
FinishReason string `json:"finish_reason"`
LogProbs LogprobResult `json:"logprobs"`
}
// LogprobResult represents logprob result of Choice.
type LogprobResult struct {
Tokens []string `json:"tokens"`
TokenLogprobs []float32 `json:"token_logprobs"`
TopLogprobs []map[string]float32 `json:"top_logprobs"`
TextOffset []int `json:"text_offset"`
}
// CompletionResponse represents a response structure for completion API.
type CompletionResponse struct {
ID string `json:"id"`
Object string `json:"object"`
Created int64 `json:"created"`
Model string `json:"model"`
Choices []CompletionChoice `json:"choices"`
Usage Usage `json:"usage"`
httpHeader
}
// CreateCompletion — API call to create a completion. This is the main endpoint of the API. Returns new text as well
// as, if requested, the probabilities over each alternative token at each position.
//
// If using a fine-tuned model, simply provide the model's ID in the CompletionRequest object,
// and the server will use the model's parameters to generate the completion.
func (c *Client) CreateCompletion(
ctx context.Context,
request CompletionRequest,
) (response JobResponse, err error) {
if request.Stream {
err = ErrCompletionStreamNotSupported
return
}
urlSuffix := "/completions"
if !checkEndpointSupportsModel(urlSuffix, request.Model) {
err = ErrCompletionUnsupportedModel
return
}
if !checkPromptType(request.Prompt) {
err = ErrCompletionRequestPromptTypeNotSupported
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
}