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chore: import upstream snapshot with attribution
2026-07-13 12:40:33 +08:00

358 lines
10 KiB
Go

package agent
import (
"context"
"encoding/json"
"errors"
"fmt"
"strings"
"time"
"go-micro.dev/v6/ai"
"go-micro.dev/v6/flow"
)
const (
agentAskStep = "ask"
agentApprovalStep = "approval"
agentInputStep = "input-required"
)
func (a *agentImpl) newCheckpointRun(runID, message, parentRunID string, existing *flow.Run) flow.Run {
now := time.Now()
run := flow.Run{
ID: runID,
ParentID: parentRunID,
Flow: a.opts.Name,
State: flow.State{Stage: agentAskStep, Data: []byte(message)},
Steps: []flow.StepRecord{{Name: agentAskStep, Status: "in_progress"}},
Status: "running",
Started: now,
Updated: now,
}
if existing != nil {
run = *existing
run.Status = "running"
run.State.Stage = agentAskStep
if len(run.Steps) == 0 {
run.Steps = []flow.StepRecord{{Name: agentAskStep}}
}
run.Steps[0].Status = "in_progress"
run.Steps[0].Error = ""
run.Steps[0].Result = ""
}
return run
}
func (a *agentImpl) saveRun(ctx context.Context, run flow.Run) error {
if a.opts.Checkpoint == nil {
return nil
}
if err := a.opts.Checkpoint.Save(ctx, run); err != nil {
return fmt.Errorf("agent %s checkpoint save: %w", a.opts.Name, err)
}
if info, ok := ai.RunInfoFrom(ctx); ok {
stage := run.State.Stage
if stage == "" && len(run.Steps) > 0 {
stage = run.Steps[0].Name
}
a.recordTimelineEvent(ctx, RunEvent{
Time: time.Now(), RunID: info.RunID, ParentID: info.ParentID, Agent: info.Agent,
Kind: "checkpoint", Name: stage, Status: run.Status,
})
}
return nil
}
// Resume returns the response for a checkpointed agent run. Completed runs are
// returned from the checkpoint without calling the model or replaying tool
// calls; failed or in-progress runs continue from the saved input message.
func Resume(ctx context.Context, ag Agent, runID string) (*Response, error) {
a, ok := ag.(*agentImpl)
if !ok {
return nil, fmt.Errorf("agent resume: unsupported agent implementation %T", ag)
}
return a.resume(ctx, runID)
}
func (a *agentImpl) resume(ctx context.Context, runID string) (*Response, error) {
if a.opts.Checkpoint == nil {
return nil, fmt.Errorf("agent %s has no checkpoint configured", a.opts.Name)
}
run, ok, err := a.opts.Checkpoint.Load(ctx, runID)
if err != nil {
return nil, err
}
if !ok {
return nil, fmt.Errorf("agent run %s not found", runID)
}
if run.Status == "paused" {
if run.State.Stage == agentInputStep {
return nil, fmt.Errorf("agent run %s is input-required; resume with ResumeInput", runID)
}
run.Status = "running"
run.State.Stage = agentAskStep
}
if run.Status == "done" {
var resp Response
if err := json.Unmarshal(run.State.Data, &resp); err != nil {
return nil, fmt.Errorf("agent run %s response decode: %w", runID, err)
}
return &resp, nil
}
if terminalAgentRunStatus(run.Status) {
return nil, fmt.Errorf("agent run %s is terminal with status %q", runID, run.Status)
}
message := string(run.State.Data)
parentID := run.ParentID
a.mu.Lock()
defer a.mu.Unlock()
if a.model == nil {
a.setup()
}
return a.askLocked(ctx, run.ID, message, parentID, &run, false)
}
// ResumeInput resumes a checkpointed agent run that paused via the built-in
// request_input tool. The supplied input is appended to the original request so
// the same run can continue with durable checkpoint and completed tool history.
func ResumeInput(ctx context.Context, ag Agent, runID, input string) (*Response, error) {
a, ok := ag.(*agentImpl)
if !ok {
return nil, fmt.Errorf("agent resume input: unsupported agent implementation %T", ag)
}
return a.resumeInput(ctx, runID, input)
}
func (a *agentImpl) resumeInput(ctx context.Context, runID, input string) (*Response, error) {
if a.opts.Checkpoint == nil {
return nil, fmt.Errorf("agent %s has no checkpoint configured", a.opts.Name)
}
run, ok, err := a.opts.Checkpoint.Load(ctx, runID)
if err != nil {
return nil, err
}
if !ok {
return nil, fmt.Errorf("agent run %s not found", runID)
}
if run.Status != "paused" || run.State.Stage != agentInputStep {
return nil, fmt.Errorf("agent run %s is not waiting for human input", runID)
}
var p inputPause
if err := run.State.Scan(&p); err != nil {
return nil, fmt.Errorf("agent run %s input state decode: %w", runID, err)
}
message := p.OriginalMessage
if message == "" {
message = string(run.State.Data)
}
message += "\n\nHuman input: " + input
run.Status = "running"
run.State.Stage = agentAskStep
run.State.Data = []byte(message)
a.mu.Lock()
defer a.mu.Unlock()
if a.model == nil {
a.setup()
}
return a.askLocked(ctx, run.ID, message, run.ParentID, &run, true)
}
func (a *agentImpl) pending(ctx context.Context) ([]flow.Run, error) {
if a.opts.Checkpoint == nil {
return nil, nil
}
runs, err := a.opts.Checkpoint.List(ctx)
if err != nil {
return nil, err
}
out := runs[:0]
for _, run := range runs {
if run.Flow == a.opts.Name && !terminalAgentRunStatus(run.Status) {
out = append(out, run)
}
}
return out, nil
}
func terminalAgentRunStatus(status string) bool {
switch status {
case "done", "canceled", "timeout", "rate_limited", "expired":
return true
default:
return false
}
}
func agentRunFailureStatus(err error) string {
switch ai.ClassifyError(err) {
case ai.ErrorKindCanceled:
return "canceled"
case ai.ErrorKindTimeout:
return "timeout"
case ai.ErrorKindRateLimited:
return "rate_limited"
default:
return "failed"
}
}
type operationalError struct {
err error
hint string
}
func (e *operationalError) Error() string {
if e == nil {
return ""
}
return e.err.Error() + "; " + e.hint
}
func (e *operationalError) Unwrap() error {
if e == nil {
return nil
}
return e.err
}
func agentRunFailureAttempts(err error) int {
var retryErr *ai.RetryError
if err != nil && errors.As(err, &retryErr) && retryErr.Attempts > 0 {
return retryErr.Attempts
}
return 1
}
func agentOperationalError(err error) error {
if err == nil {
return nil
}
switch ai.ClassifyError(err) {
case ai.ErrorKindCanceled:
return &operationalError{err: err, hint: "agent run canceled; inspect run history with `micro inspect agent <name> --status canceled` or see docs/guides/debugging-agents.md"}
case ai.ErrorKindTimeout:
return &operationalError{err: err, hint: "agent provider call timed out; inspect run history with `micro inspect agent <name> --status timeout`, then adjust AgentModelCallTimeout/AgentModelRetry or see docs/guides/debugging-agents.md"}
case ai.ErrorKindRateLimited:
return &operationalError{err: err, hint: "agent provider was rate limited; inspect run history with `micro inspect agent <name> --status rate_limited`, check provider keys with `micro agent preflight`, or see docs/guides/debugging-agents.md"}
case ai.ErrorKindUnavailable:
return &operationalError{err: err, hint: "agent provider appears temporarily unavailable; retry with bounded AgentModelRetry and verify provider setup with `micro agent preflight` or docs/guides/debugging-agents.md"}
default:
return err
}
}
func (a *agentImpl) checkpointToolWrap(next ai.ToolHandler) ai.ToolHandler {
return func(ctx context.Context, call ai.ToolCall) ai.ToolResult {
run := a.currentRun
if a.opts.Checkpoint == nil || run == nil {
return next(ctx, call)
}
name := toolCheckpointName(call)
if rec, ok := findStep(run.Steps, name); ok && rec.Status == "done" {
return ai.ToolResult{ID: call.ID, Value: rec.Result, Content: rec.Result}
}
idx := upsertStep(&run.Steps, flow.StepRecord{Name: name, Status: "in_progress"})
_ = a.saveRun(ctx, *run)
res := next(ctx, call)
if idx < 0 || idx >= len(run.Steps) || run.Steps[idx].Name != name {
idx = upsertStep(&run.Steps, flow.StepRecord{Name: name, Status: "in_progress"})
}
run.Steps[idx].Attempts++
if res.Refused != "" {
run.Steps[idx].Status = "failed"
run.Steps[idx].Error = res.Content
_ = a.saveRun(ctx, *run)
return res
}
run.Steps[idx].Status = "done"
run.Steps[idx].Result = res.Content
run.Steps[idx].Error = ""
_ = a.saveRun(ctx, *run)
return res
}
}
func toolCheckpointName(call ai.ToolCall) string {
b, _ := json.Marshal(call.Input)
return "tool:" + call.Name + ":" + string(b)
}
func findStep(steps []flow.StepRecord, name string) (flow.StepRecord, bool) {
for _, step := range steps {
if step.Name == name {
return step, true
}
}
return flow.StepRecord{}, false
}
func upsertStep(steps *[]flow.StepRecord, rec flow.StepRecord) int {
for i := range *steps {
if (*steps)[i].Name == rec.Name {
(*steps)[i].Status = rec.Status
(*steps)[i].Error = rec.Error
return i
}
}
if len(*steps) == 0 || (*steps)[0].Name != agentAskStep {
*steps = append([]flow.StepRecord{{Name: agentAskStep, Status: "in_progress"}}, (*steps)...)
}
*steps = append(*steps, rec)
return len(*steps) - 1
}
func checkpointToolCalls(steps []flow.StepRecord) []ai.ToolCall {
calls := make([]ai.ToolCall, 0, len(steps))
for _, step := range steps {
call, ok := checkpointToolCall(step)
if !ok {
continue
}
calls = append(calls, call)
}
return calls
}
func checkpointToolCall(step flow.StepRecord) (ai.ToolCall, bool) {
if step.Status != "done" || !strings.HasPrefix(step.Name, "tool:") {
return ai.ToolCall{}, false
}
parts := strings.SplitN(strings.TrimPrefix(step.Name, "tool:"), ":", 2)
if len(parts) != 2 || parts[0] == "" {
return ai.ToolCall{}, false
}
input := map[string]any{}
if parts[1] != "null" && parts[1] != "" {
if err := json.Unmarshal([]byte(parts[1]), &input); err != nil {
return ai.ToolCall{}, false
}
}
return ai.ToolCall{Name: parts[0], Input: input, Result: step.Result}, true
}
func mergeCheckpointToolCalls(checkpointed, current []ai.ToolCall) []ai.ToolCall {
if len(checkpointed) == 0 {
return current
}
seen := make(map[string]struct{}, len(current))
for _, call := range current {
seen[toolCallKey(call.Name, call.Input)] = struct{}{}
}
merged := make([]ai.ToolCall, 0, len(checkpointed)+len(current))
for _, call := range checkpointed {
if _, ok := seen[toolCallKey(call.Name, call.Input)]; ok {
continue
}
merged = append(merged, call)
}
merged = append(merged, current...)
return merged
}
func toolCallKey(name string, input map[string]any) string {
b, _ := json.Marshal(input)
return name + ":" + string(b)
}