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feat(vertexai): Vertex AI for go (#9095)
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@@ -149,6 +149,7 @@ use ( | |
./tpu | ||
./trace | ||
./translate | ||
./vertexai | ||
./video | ||
./videointelligence | ||
./vision | ||
|
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# Vertex AI Go SDK | ||
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[!IMPORTANT] | ||
Thanks for your interest in the Vertex AI SDKs! **You can start using this SDK | ||
and its samples on December 13, 2023.** Until then, check out our [blog | ||
post](https://blog.google/technology/ai/google-gemini-ai/) to learn more about | ||
Google's Gemini multimodal model. | ||
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The Vertex AI Go SDK enables developers to use Google's state-of-the-art | ||
generative AI models (like Gemini) to build AI-powered features and | ||
applications. | ||
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*More details and information coming soon!* |
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// Copyright 2023 Google LLC | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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package main | ||
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import ( | ||
"context" | ||
"encoding/json" | ||
"errors" | ||
"flag" | ||
"fmt" | ||
"log" | ||
"os" | ||
"strings" | ||
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"cloud.google.com/go/vertexai/genai" | ||
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"google.golang.org/api/iterator" | ||
) | ||
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var ( | ||
project = flag.String("project", "", "project ID") | ||
location = flag.String("location", "", "location") | ||
temp = flag.Float64("t", 0.2, "temperature") | ||
model = flag.String("model", "", "model") | ||
streaming = flag.Bool("stream", false, "using the streaming API") | ||
) | ||
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func main() { | ||
flag.Parse() | ||
if *project == "" || *location == "" || *model == "" { | ||
log.Fatal("need -project, -location, and -model") | ||
} | ||
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ctx := context.Background() | ||
client, err := genai.NewClient(ctx, *project, *location) | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
defer client.Close() | ||
model := client.GenerativeModel(*model) | ||
model.Temperature = float32(*temp) | ||
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model.SafetySettings = []*genai.SafetySetting{ | ||
{ | ||
Category: genai.HarmCategorySexuallyExplicit, | ||
Threshold: genai.HarmBlockLowAndAbove, | ||
}, | ||
{ | ||
Category: genai.HarmCategoryDangerousContent, | ||
Threshold: genai.HarmBlockLowAndAbove, | ||
}, | ||
} | ||
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text := strings.Join(flag.Args(), " ") | ||
if *streaming { | ||
iter := model.GenerateContentStream(ctx, genai.Text(text)) | ||
for { | ||
res, err := iter.Next() | ||
if err == iterator.Done { | ||
break | ||
} | ||
if err != nil { | ||
showError(err) | ||
} | ||
showJSON(res) | ||
fmt.Println("---") | ||
} | ||
} else { | ||
res, err := model.GenerateContent(ctx, genai.Text(text)) | ||
if err != nil { | ||
showError(err) | ||
} | ||
showJSON(res) | ||
} | ||
} | ||
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func showJSON(x any) { | ||
bs, err := json.MarshalIndent(x, "", " ") | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
fmt.Printf("%s\n", bs) | ||
} | ||
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func showError(err error) { | ||
var berr *genai.BlockedError | ||
if errors.As(err, &berr) { | ||
fmt.Println("ERROR:") | ||
showJSON(err) | ||
} else { | ||
fmt.Printf("ERROR: %s\n", err) | ||
} | ||
os.Exit(1) | ||
} |
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// Copyright 2023 Google LLC | ||
// | ||
// Licensed under the Apache License, Version 2.0 (the "License"); | ||
// you may not use this file except in compliance with the License. | ||
// You may obtain a copy of the License at | ||
// | ||
// http://www.apache.org/licenses/LICENSE-2.0 | ||
// | ||
// Unless required by applicable law or agreed to in writing, software | ||
// distributed under the License is distributed on an "AS IS" BASIS, | ||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
// See the License for the specific language governing permissions and | ||
// limitations under the License. | ||
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package genai | ||
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import ( | ||
"context" | ||
) | ||
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// A ChatSession provides interactive chat. | ||
type ChatSession struct { | ||
m *GenerativeModel | ||
History []*Content | ||
} | ||
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// StartChat starts a chat session. | ||
func (m *GenerativeModel) StartChat() *ChatSession { | ||
return &ChatSession{m: m} | ||
} | ||
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// SendMessage sends a request to the model as part of a chat session. | ||
func (cs *ChatSession) SendMessage(ctx context.Context, parts ...Part) (*GenerateContentResponse, error) { | ||
// Call the underlying client with the entire history plus the argument Content. | ||
cs.History = append(cs.History, newUserContent(parts)) | ||
req := cs.m.newRequest(cs.History...) | ||
cc := int32(1) | ||
req.GenerationConfig.CandidateCount = &cc | ||
resp, err := cs.m.generateContent(ctx, req) | ||
if err != nil { | ||
return nil, err | ||
} | ||
cs.addToHistory(resp.Candidates) | ||
return resp, nil | ||
} | ||
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// SendMessageStream is like SendMessage, but with a streaming request. | ||
func (cs *ChatSession) SendMessageStream(ctx context.Context, parts ...Part) *GenerateContentResponseIterator { | ||
cs.History = append(cs.History, newUserContent(parts)) | ||
req := cs.m.newRequest(cs.History...) | ||
var cc int32 = 1 | ||
req.GenerationConfig.CandidateCount = &cc | ||
streamClient, err := cs.m.c.c.StreamGenerateContent(ctx, req) | ||
return &GenerateContentResponseIterator{ | ||
sc: streamClient, | ||
err: err, | ||
cs: cs, | ||
} | ||
} | ||
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// By default, use the first candidate for history. The user can modify that if they want. | ||
func (cs *ChatSession) addToHistory(cands []*Candidate) bool { | ||
if len(cands) > 0 { | ||
c := cands[0].Content | ||
c.Role = roleModel | ||
cs.History = append(cs.History, c) | ||
return true | ||
} | ||
return false | ||
} |
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