Files
coder/coderd/taskname/taskname.go
T
Danielle Maywood 655377165b feat(coderd): generate task names based on their prompt (#19335)
Closes https://github.com/coder/coder/issues/18159

If an Anthropic API key is available, we call out to Claude to generate
a task name based on the user-provided prompt instead of our random name
generator.
2025-08-19 14:56:37 +01:00

146 lines
3.4 KiB
Go

package taskname
import (
"context"
"io"
"os"
"github.com/anthropics/anthropic-sdk-go"
anthropicoption "github.com/anthropics/anthropic-sdk-go/option"
"golang.org/x/xerrors"
"github.com/coder/aisdk-go"
"github.com/coder/coder/v2/codersdk"
)
const (
defaultModel = anthropic.ModelClaude3_5HaikuLatest
systemPrompt = `Generate a short workspace name from this AI task prompt.
Requirements:
- Only lowercase letters, numbers, and hyphens
- Start with "task-"
- End with a random number between 0-99
- Maximum 32 characters total
- Descriptive of the main task
Examples:
- "Help me debug a Python script" → "task-python-debug-12"
- "Create a React dashboard component" → "task-react-dashboard-93"
- "Analyze sales data from Q3" → "task-analyze-q3-sales-37"
- "Set up CI/CD pipeline" → "task-setup-cicd-44"
If you cannot create a suitable name:
- Respond with "task-unnamed"
- Do not end with a random number`
)
var (
ErrNoAPIKey = xerrors.New("no api key provided")
ErrNoNameGenerated = xerrors.New("no task name generated")
)
type options struct {
apiKey string
model anthropic.Model
}
type Option func(o *options)
func WithAPIKey(apiKey string) Option {
return func(o *options) {
o.apiKey = apiKey
}
}
func WithModel(model anthropic.Model) Option {
return func(o *options) {
o.model = model
}
}
func GetAnthropicAPIKeyFromEnv() string {
return os.Getenv("ANTHROPIC_API_KEY")
}
func GetAnthropicModelFromEnv() anthropic.Model {
return anthropic.Model(os.Getenv("ANTHROPIC_MODEL"))
}
func Generate(ctx context.Context, prompt string, opts ...Option) (string, error) {
o := options{}
for _, opt := range opts {
opt(&o)
}
if o.model == "" {
o.model = defaultModel
}
if o.apiKey == "" {
return "", ErrNoAPIKey
}
conversation := []aisdk.Message{
{
Role: "system",
Parts: []aisdk.Part{{
Type: aisdk.PartTypeText,
Text: systemPrompt,
}},
},
{
Role: "user",
Parts: []aisdk.Part{{
Type: aisdk.PartTypeText,
Text: prompt,
}},
},
}
anthropicOptions := anthropic.DefaultClientOptions()
anthropicOptions = append(anthropicOptions, anthropicoption.WithAPIKey(o.apiKey))
anthropicClient := anthropic.NewClient(anthropicOptions...)
stream, err := anthropicDataStream(ctx, anthropicClient, o.model, conversation)
if err != nil {
return "", xerrors.Errorf("create anthropic data stream: %w", err)
}
var acc aisdk.DataStreamAccumulator
stream = stream.WithAccumulator(&acc)
if err := stream.Pipe(io.Discard); err != nil {
return "", xerrors.Errorf("pipe data stream")
}
if len(acc.Messages()) == 0 {
return "", ErrNoNameGenerated
}
generatedName := acc.Messages()[0].Content
if err := codersdk.NameValid(generatedName); err != nil {
return "", xerrors.Errorf("generated name %v not valid: %w", generatedName, err)
}
if generatedName == "task-unnamed" {
return "", ErrNoNameGenerated
}
return generatedName, nil
}
func anthropicDataStream(ctx context.Context, client anthropic.Client, model anthropic.Model, input []aisdk.Message) (aisdk.DataStream, error) {
messages, system, err := aisdk.MessagesToAnthropic(input)
if err != nil {
return nil, xerrors.Errorf("convert messages to anthropic format: %w", err)
}
return aisdk.AnthropicToDataStream(client.Messages.NewStreaming(ctx, anthropic.MessageNewParams{
Model: model,
MaxTokens: 24,
System: system,
Messages: messages,
})), nil
}