chore: import upstream snapshot with attribution
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package flow
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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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"strings"
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"time"
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"go-micro.dev/v6/ai"
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)
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// Grader checks a step output against a rubric. It returns pass=true when the
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// output is acceptable; otherwise feedback should explain what the next attempt
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// should fix.
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type Grader func(ctx context.Context, out State) (pass bool, feedback string, err error)
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// VerifyOptions configure Verify.
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type VerifyOptions struct {
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// MaxAttempts bounds how many times the body can run. Default 2.
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MaxAttempts int
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// Backoff waits between failed grades. Zero means retry immediately.
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Backoff time.Duration
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// FeedbackField is the JSON field used to thread grader feedback into the
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// next attempt's input. Default "feedback".
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FeedbackField string
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}
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// VerifyOption configures Verify.
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type VerifyOption func(*VerifyOptions)
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// VerifyMaxAttempts sets the total attempt budget for Verify. Values <= 0 use
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// the default of 2.
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func VerifyMaxAttempts(n int) VerifyOption { return func(o *VerifyOptions) { o.MaxAttempts = n } }
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// VerifyBackoff sets the delay between failed verification attempts.
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func VerifyBackoff(d time.Duration) VerifyOption { return func(o *VerifyOptions) { o.Backoff = d } }
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// VerifyFeedbackField sets the JSON field used to pass grader feedback to the
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// next body attempt. Empty values use "feedback".
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func VerifyFeedbackField(field string) VerifyOption {
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return func(o *VerifyOptions) { o.FeedbackField = field }
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}
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// Verify runs body, grades its output, and retries with grader feedback threaded
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// into the next input until the grader passes or MaxAttempts is exhausted. It is
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// a StepFunc, so it composes directly as Step.Run with Loop, LLM, Call, Agent, or
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// any code-defined step.
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//
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// On a failed grade, Verify adds the feedback to the next attempt's input as a
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// JSON field named "feedback" (or VerifyFeedbackField). When all attempts fail,
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// it returns the last output without error, annotated with verification fields so
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// the run can keep the bounded failure outcome in its state:
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// "verification_passed": false, "verification_feedback", and
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// "verification_attempts".
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func Verify(body StepFunc, grader Grader, opts ...VerifyOption) StepFunc {
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o := VerifyOptions{MaxAttempts: 2, FeedbackField: "feedback"}
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for _, op := range opts {
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op(&o)
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}
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if o.MaxAttempts <= 0 {
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o.MaxAttempts = 2
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}
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if o.FeedbackField == "" {
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o.FeedbackField = "feedback"
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}
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return func(ctx context.Context, in State) (State, error) {
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if body == nil {
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return in, fmt.Errorf("flow: Verify requires a body step")
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}
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if grader == nil {
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return in, fmt.Errorf("flow: Verify requires a grader")
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}
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cur := in
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last := in
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feedback := ""
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for attempt := 1; attempt <= o.MaxAttempts; attempt++ {
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if err := ctx.Err(); err != nil {
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return last, err
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}
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if feedback != "" {
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var err error
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cur, err = stateWithField(cur, o.FeedbackField, feedback)
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if err != nil {
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return last, err
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}
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}
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out, err := body(ctx, cur)
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if err != nil {
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return last, fmt.Errorf("verify attempt %d: %w", attempt, err)
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}
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last = out
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pass, fb, err := grader(ctx, out)
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if err != nil {
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return last, fmt.Errorf("verify grade attempt %d: %w", attempt, err)
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}
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if pass {
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return stateWithVerification(out, true, fb, attempt)
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}
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feedback = fb
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cur = in
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if attempt < o.MaxAttempts && o.Backoff > 0 {
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select {
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case <-time.After(o.Backoff):
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case <-ctx.Done():
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return last, ctx.Err()
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}
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}
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}
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return stateWithVerification(last, false, feedback, o.MaxAttempts)
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}
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}
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// LLMGrader returns a grader that asks the flow model to judge the latest output
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// against rubric. The model should answer with pass/fail plus short feedback.
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// It reuses the flow's configured model, so it must run inside a flow.
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func LLMGrader(rubric string) Grader {
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return func(ctx context.Context, out State) (bool, string, error) {
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d := depsFrom(ctx)
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if d == nil || d.model == nil {
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return false, "", fmt.Errorf("flow: LLMGrader requires a flow model (set Provider/APIKey)")
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}
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prompt := fmt.Sprintf("Grade the latest result against this rubric:\n%s\n\nLatest result:\n%s\n\nAnswer with PASS or FAIL on the first line, followed by one short feedback sentence.", rubric, out.String())
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resp, err := d.model.Generate(ctx, &ai.Request{Prompt: prompt})
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if err != nil {
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return false, "", err
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}
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reply := resp.Answer
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if reply == "" {
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reply = resp.Reply
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}
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return parseGrade(reply)
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}
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}
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func parseGrade(reply string) (bool, string, error) {
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text := strings.TrimSpace(reply)
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if text == "" {
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return false, "", fmt.Errorf("flow: LLMGrader returned an empty grade")
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}
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lines := strings.SplitN(text, "\n", 2)
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first := strings.ToLower(strings.TrimSpace(lines[0]))
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feedback := ""
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if len(lines) > 1 {
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feedback = strings.TrimSpace(lines[1])
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}
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pass := strings.HasPrefix(first, "pass") || isAffirmative(first)
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if !pass && feedback == "" {
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feedback = text
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}
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return pass, feedback, nil
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}
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func stateWithField(s State, field, value string) (State, error) {
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var obj map[string]any
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if len(s.Data) > 0 && json.Unmarshal(s.Data, &obj) == nil && obj != nil {
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obj[field] = value
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return stateWithObject(s, obj)
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}
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obj = map[string]any{field: value}
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if len(s.Data) > 0 {
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obj["data"] = s.String()
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}
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return stateWithObject(s, obj)
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}
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func stateWithVerification(s State, passed bool, feedback string, attempts int) (State, error) {
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var obj map[string]any
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if len(s.Data) > 0 && json.Unmarshal(s.Data, &obj) == nil && obj != nil {
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obj["verification_passed"] = passed
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obj["verification_feedback"] = feedback
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obj["verification_attempts"] = attempts
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return stateWithObject(s, obj)
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}
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obj = map[string]any{
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"data": s.String(),
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"verification_passed": passed,
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"verification_feedback": feedback,
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"verification_attempts": attempts,
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}
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return stateWithObject(s, obj)
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}
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func stateWithObject(s State, obj map[string]any) (State, error) {
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b, err := json.Marshal(obj)
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if err != nil {
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return s, err
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}
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s.Data = b
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return s, nil
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}
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