This repository was archived by the owner on Sep 30, 2024. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 1.4k
Expand file tree
/
Copy pathopenai.go
More file actions
359 lines (314 loc) · 11.1 KB
/
openai.go
File metadata and controls
359 lines (314 loc) · 11.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
package openai
import (
"bytes"
"context"
"encoding/json"
"net/http"
"net/url"
"strings"
"github.com/sourcegraph/log"
"github.com/sourcegraph/sourcegraph/internal/completions/tokenizer"
"github.com/sourcegraph/sourcegraph/internal/completions/tokenusage"
"github.com/sourcegraph/sourcegraph/internal/completions/types"
"github.com/sourcegraph/sourcegraph/internal/httpcli"
"github.com/sourcegraph/sourcegraph/lib/errors"
)
func NewClient(cli httpcli.Doer, endpoint, accessToken string, tokenManager tokenusage.Manager) types.CompletionsClient {
return &openAIChatCompletionStreamClient{
cli: cli,
accessToken: accessToken,
endpoint: endpoint,
tokenManager: tokenManager,
}
}
type openAIChatCompletionStreamClient struct {
cli httpcli.Doer
accessToken string
endpoint string
tokenManager tokenusage.Manager
}
func (c *openAIChatCompletionStreamClient) Complete(
ctx context.Context,
logger log.Logger,
request types.CompletionRequest) (*types.CompletionResponse, error) {
feature := request.Feature
requestParams := request.Parameters
var resp *http.Response
var err error
defer (func() {
if resp != nil {
resp.Body.Close()
}
})()
if feature == types.CompletionsFeatureCode {
resp, err = c.makeCompletionRequest(ctx, requestParams, false)
} else {
resp, err = c.makeRequest(ctx, requestParams, false)
}
if err != nil {
return nil, err
}
defer resp.Body.Close()
var response openaiResponse
if err := json.NewDecoder(resp.Body).Decode(&response); err != nil {
return nil, err
}
if len(response.Choices) == 0 {
// Empty response.
return &types.CompletionResponse{}, nil
}
err = c.tokenManager.UpdateTokenCountsFromModelUsage(
response.Usage.PromptTokens,
response.Usage.CompletionTokens,
tokenizer.OpenAIModel+"/"+requestParams.Model,
string(feature),
tokenusage.OpenAI)
if err != nil {
logger.Warn("Failed to count tokens with the token manager %w ", log.Error(err))
}
return &types.CompletionResponse{
Completion: response.Choices[0].Text,
StopReason: response.Choices[0].FinishReason,
}, nil
}
func (c *openAIChatCompletionStreamClient) Stream(
ctx context.Context,
logger log.Logger,
request types.CompletionRequest,
responseMetadataCapture *types.ResponseMetadataCapture) error {
feature := request.Feature
requestParams := request.Parameters
var resp *http.Response
var err error
defer (func() {
if resp != nil {
resp.Body.Close()
}
})()
if feature == types.CompletionsFeatureCode {
resp, err = c.makeCompletionRequest(ctx, requestParams, true)
} else {
resp, err = c.makeRequest(ctx, requestParams, true)
}
if err != nil {
return err
}
dec := NewDecoder(resp.Body)
var content string
var ev types.CompletionResponse
var promptTokens, completionTokens int
for dec.Scan() {
if ctx.Err() != nil && ctx.Err() == context.Canceled {
return nil
}
data := dec.Data()
// Gracefully skip over any data that isn't JSON-like.
if !bytes.HasPrefix(data, []byte("{")) {
continue
}
var event openaiResponse
if err := json.Unmarshal(data, &event); err != nil {
return errors.Errorf("failed to decode event payload: %w - body: %s", err, string(data))
}
// These are only included in the last message, so we're not worried about overwriting
if event.Usage.PromptTokens > 0 {
promptTokens = event.Usage.PromptTokens
}
if event.Usage.CompletionTokens > 0 {
completionTokens = event.Usage.CompletionTokens
}
if len(event.Choices) > 0 {
if feature == types.CompletionsFeatureCode {
content += event.Choices[0].Text
} else {
content += event.Choices[0].Delta.Content
}
ev = types.CompletionResponse{
Completion: content,
StopReason: event.Choices[0].FinishReason,
}
err = responseMetadataCapture.SendEvent(ev)
if err != nil {
return err
}
}
}
if dec.Err() != nil {
return dec.Err()
}
err = c.tokenManager.UpdateTokenCountsFromModelUsage(promptTokens, completionTokens, tokenizer.OpenAIModel+"/"+requestParams.Model, string(feature), tokenusage.OpenAI)
if err != nil {
logger.Warn("Failed to count tokens with the token manager %w", log.Error(err))
}
return nil
}
// makeRequest formats the request and calls the chat/completions endpoint for code_completion requests
func (c *openAIChatCompletionStreamClient) makeRequest(ctx context.Context, requestParams types.CompletionRequestParameters, stream bool) (*http.Response, error) {
if requestParams.TopK < 0 {
requestParams.TopK = 0
}
if requestParams.TopP < 0 {
requestParams.TopP = 0
}
// TODO(sqs): make CompletionRequestParameters non-anthropic-specific
payload := openAIChatCompletionsRequestParameters{
Model: requestParams.Model,
Temperature: requestParams.Temperature,
TopP: requestParams.TopP,
// TODO(sqs): map requestParams.TopK to openai
N: 1,
Stream: stream,
MaxTokens: requestParams.MaxTokensToSample,
// TODO: Our clients are currently heavily biased towards Anthropic,
// so the stop sequences we send might not actually be very useful
// for OpenAI.
Stop: requestParams.StopSequences,
}
for _, m := range requestParams.Messages {
// TODO(sqs): map these 'roles' to openai system/user/assistant
var role string
switch m.Speaker {
case types.HUMAN_MESSAGE_SPEAKER:
role = "user"
case types.ASSISTANT_MESSAGE_SPEAKER:
role = "assistant"
//
default:
role = strings.ToLower(role)
}
payload.Messages = append(payload.Messages, message{
Role: role,
Content: m.Text,
})
}
reqBody, err := json.Marshal(payload)
if err != nil {
return nil, err
}
url, err := url.Parse(c.endpoint)
if err != nil {
return nil, errors.Wrap(err, "failed to parse configured endpoint")
}
url.Path = "v1/chat/completions"
req, err := http.NewRequestWithContext(ctx, "POST", url.String(), bytes.NewReader(reqBody))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+c.accessToken)
resp, err := c.cli.Do(req)
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusOK {
return nil, types.NewErrStatusNotOK("OpenAI", resp)
}
return resp, nil
}
// makeCompletionRequest formats the request and calls the completions endpoint for code_completion requests
func (c *openAIChatCompletionStreamClient) makeCompletionRequest(ctx context.Context, requestParams types.CompletionRequestParameters, stream bool) (*http.Response, error) {
if requestParams.TopK < 0 {
requestParams.TopK = 0
}
if requestParams.TopP < 0 {
requestParams.TopP = 0
}
prompt, err := getPrompt(requestParams.Messages)
if err != nil {
return nil, err
}
payload := openAICompletionsRequestParameters{
Model: requestParams.Model,
Temperature: requestParams.Temperature,
TopP: requestParams.TopP,
N: 1,
Stream: stream,
MaxTokens: requestParams.MaxTokensToSample,
Stop: requestParams.StopSequences,
Prompt: prompt,
}
reqBody, err := json.Marshal(payload)
if err != nil {
return nil, err
}
url, err := url.Parse(c.endpoint)
if err != nil {
return nil, errors.Wrap(err, "failed to parse configured endpoint")
}
url.Path = "v1/completions"
req, err := http.NewRequestWithContext(ctx, "POST", url.String(), bytes.NewReader(reqBody))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+c.accessToken)
resp, err := c.cli.Do(req)
if err != nil {
return nil, err
}
if resp.StatusCode != http.StatusOK {
return nil, types.NewErrStatusNotOK("OpenAI", resp)
}
return resp, nil
}
// openAIChatCompletionsRequestParameters request object for openAI chat endpoint https://platform.openai.com/docs/api-reference/chat/create
type openAIChatCompletionsRequestParameters struct {
Model string `json:"model"` // request.Model
Messages []message `json:"messages"` // request.Messages
Temperature float32 `json:"temperature,omitempty"` // request.Temperature
TopP float32 `json:"top_p,omitempty"` // request.TopP
N int `json:"n,omitempty"` // always 1
Stream bool `json:"stream,omitempty"` // request.Stream
Stop []string `json:"stop,omitempty"` // request.StopSequences
MaxTokens int `json:"max_tokens,omitempty"` // request.MaxTokensToSample
PresencePenalty float32 `json:"presence_penalty,omitempty"` // unused
FrequencyPenalty float32 `json:"frequency_penalty,omitempty"` // unused
LogitBias map[string]float32 `json:"logit_bias,omitempty"` // unused
User string `json:"user,omitempty"` // unused
}
// openAICompletionsRequestParameters payload for openAI completions endpoint https://platform.openai.com/docs/api-reference/completions/create
type openAICompletionsRequestParameters struct {
Model string `json:"model"` // request.Model
Prompt string `json:"prompt"` // request.Messages[0] - formatted prompt expected to be the only message
Temperature float32 `json:"temperature,omitempty"` // request.Temperature
TopP float32 `json:"top_p,omitempty"` // request.TopP
N int `json:"n,omitempty"` // always 1
Stream bool `json:"stream,omitempty"` // request.Stream
Stop []string `json:"stop,omitempty"` // request.StopSequences
MaxTokens int `json:"max_tokens,omitempty"` // request.MaxTokensToSample
PresencePenalty float32 `json:"presence_penalty,omitempty"` // unused
FrequencyPenalty float32 `json:"frequency_penalty,omitempty"` // unused
LogitBias map[string]float32 `json:"logit_bias,omitempty"` // unused
Suffix string `json:"suffix,omitempty"` // unused
User string `json:"user,omitempty"` // unused
}
type message struct {
Role string `json:"role"`
Content string `json:"content"`
}
type openaiUsage struct {
PromptTokens int `json:"prompt_tokens"`
CompletionTokens int `json:"completion_tokens"`
TotalTokens int `json:"total_tokens"`
}
type openaiChoiceDelta struct {
Content string `json:"content"`
}
type openaiChoice struct {
Delta openaiChoiceDelta `json:"delta"`
Role string `json:"role"`
Text string `json:"text"`
FinishReason string `json:"finish_reason"`
}
type openaiResponse struct {
// Usage is only available for non-streaming requests.
Usage openaiUsage `json:"usage"`
Model string `json:"model"`
Choices []openaiChoice `json:"choices"`
}
func getPrompt(messages []types.Message) (string, error) {
if l := len(messages); l != 1 {
return "", errors.Errorf("expected to receive exactly one message with the prompt (got %d)", l)
}
return messages[0].Text, nil
}