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https://github.com/k8sgpt-ai/k8sgpt.git
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This commit adds Top-K sampling, a feature that allows users to control the randomness of the generated text by specifying the number of most probable next words considered by the model. This enhances user control and potentially improves the quality of the generated outputs. Fixes: https://github.com/k8sgpt-ai/k8sgpt/issues/1105 Signed-off-by: VaibhavMalik4187 <vaibhavmalik2018@gmail.com> Co-authored-by: Alex Jones <alexsimonjones@gmail.com>
142 lines
3.7 KiB
Go
142 lines
3.7 KiB
Go
/*
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Copyright 2023 The K8sGPT Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package ai
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import (
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"context"
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"encoding/json"
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"fmt"
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"github.com/aws/aws-sdk-go/aws"
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"github.com/aws/aws-sdk-go/aws/session"
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"github.com/aws/aws-sdk-go/service/sagemakerruntime"
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)
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const amazonsagemakerAIClientName = "amazonsagemaker"
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type SageMakerAIClient struct {
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nopCloser
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client *sagemakerruntime.SageMakerRuntime
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model string
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temperature float32
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endpoint string
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topP float32
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topK int32
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maxTokens int
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}
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type Generations []struct {
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Generation struct {
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Role string `json:"role"`
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Content string `json:"content"`
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} `json:"generation"`
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}
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type Request struct {
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Inputs [][]Message `json:"inputs"`
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Parameters Parameters `json:"parameters"`
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}
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type Message struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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type Parameters struct {
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MaxNewTokens int `json:"max_new_tokens"`
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TopP float64 `json:"top_p"`
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TopK float64 `json:"top_k"`
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Temperature float64 `json:"temperature"`
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}
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func (c *SageMakerAIClient) Configure(config IAIConfig) error {
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// Create a new AWS session
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sess := session.Must(session.NewSessionWithOptions(session.Options{
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Config: aws.Config{Region: aws.String(config.GetProviderRegion())},
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SharedConfigState: session.SharedConfigEnable,
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}))
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// Create a new SageMaker runtime client
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c.client = sagemakerruntime.New(sess)
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c.model = config.GetModel()
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c.endpoint = config.GetEndpointName()
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c.temperature = config.GetTemperature()
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c.maxTokens = config.GetMaxTokens()
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c.topP = config.GetTopP()
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c.topK = config.GetTopK()
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return nil
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}
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func (c *SageMakerAIClient) GetCompletion(_ context.Context, prompt string) (string, error) {
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// Create a completion request
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request := Request{
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Inputs: [][]Message{
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{
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{Role: "system", Content: "DEFAULT_PROMPT"},
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{Role: "user", Content: prompt},
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},
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},
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Parameters: Parameters{
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MaxNewTokens: int(c.maxTokens),
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TopP: float64(c.topP),
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TopK: float64(c.topK),
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Temperature: float64(c.temperature),
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},
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}
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// Convert request to []byte
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bytesData, err := json.Marshal(request)
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if err != nil {
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return "", err
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}
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// Create an input object
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input := &sagemakerruntime.InvokeEndpointInput{
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Body: bytesData,
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EndpointName: aws.String(c.endpoint),
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ContentType: aws.String("application/json"), // Set the content type as per your model's requirements
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Accept: aws.String("application/json"), // Set the accept type as per your model's requirements
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CustomAttributes: aws.String("accept_eula=true"),
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}
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// Call the InvokeEndpoint function
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result, err := c.client.InvokeEndpoint(input)
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if err != nil {
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return "", err
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}
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// // Define a slice of Generations
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var generations Generations
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err = json.Unmarshal([]byte(string(result.Body)), &generations)
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if err != nil {
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return "", err
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}
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// Check for length of generations
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if len(generations) != 1 {
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return "", fmt.Errorf("Expected exactly one generation, but got %d", len(generations))
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}
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// Access the content
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content := generations[0].Generation.Content
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return content, nil
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}
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func (c *SageMakerAIClient) GetName() string {
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return amazonsagemakerAIClientName
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}
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