Expose compacted memory summaries

Co-authored-by: Codex <codex@openai.com>

.github/loop/PRIORITIES.md

@@ -21,7 +21,7 @@ changes, architectural rewrites. Those go to the human.
 
 ## Work queue (ranked)
 
-1. **Propagate agent run cancellation and deadlines through model and tool calls** ([#4750](https://github.com/micro/go-micro/issues/4750)) — #4748 closed the x402 spend-budget guardrail and there are no open codex PRs in flight. Do not re-queue more docs-link checks, AtlasCloud-specific text repair, or plan/delegate edge hardening for now; those areas have had several recent increments. The next highest-value user-facing gap is making long-running and unattended agents easier to stop safely and inspect: cancellation/deadline propagation through model calls, tool execution, delegation seams, and run metadata without breaking public APIs.
+1. **Add memory compaction controls for long-running agents** ([#4765](https://github.com/micro/go-micro/issues/4765)) — #4763 closed the live registered-agent `micro chat --stream` gap, and the recent run also over-invested in docs-link guards, AtlasCloud-specific repair, and plan/delegate edge hardening. The next highest-value user-facing gap is memory that survives beyond toy conversations without unbounded prompt growth: add opt-in compaction/summarization that preserves recent turns/tool results, stores an inspectable summary, and keeps `Ask`/stream/checkpoint behavior coherent without changing defaults.
 
 _Seeded by Claude Code from the roadmap + open issues; thereafter maintained by the
 architecture-review pass._

agent/agent.go

@@ -15,7 +15,9 @@ package agent
 import (
 	"context"
 	"encoding/json"
+	"errors"
 	"fmt"
+	"io"
 	"net/http"
 	"strings"
 	"sync"
@@ -263,6 +265,36 @@ func (a *agentImpl) Stream(ctx context.Context, message string) (ai.Stream, erro
 	return &memoryRecordingStream{stream: stream, memory: a.mem}, nil
 }
 
+// StreamChat serves the Agent.StreamChat RPC endpoint by forwarding stream-capable
+// remote clients to the agent streaming path. If the model cannot stream, the
+// underlying error is returned so callers can fall back to Agent.Chat.
+func (a *agentImpl) StreamChat(ctx context.Context, stream pb.Agent_StreamChatStream) error {
+	req, err := stream.Recv()
+	if err != nil {
+		return err
+	}
+	aiStream, err := a.streamAskAI(ctx, req.Message)
+	if err != nil {
+		return err
+	}
+	defer aiStream.Close()
+	for {
+		chunk, err := aiStream.Recv()
+		if errors.Is(err, io.EOF) {
+			return nil
+		}
+		if err != nil {
+			return err
+		}
+		if chunk == nil || chunk.Reply == "" {
+			continue
+		}
+		if err := stream.Send(&pb.ChatResponse{Reply: chunk.Reply, Agent: a.opts.Name}); err != nil {
+			return err
+		}
+	}
+}
+
 // Pending returns checkpointed agent runs that have not completed. It mirrors
 // flow.Pending for startup recovery loops that drain durable agent work.
 func Pending(ctx context.Context, ag Agent) ([]flow.Run, error) {

agent/integration_test.go

@@ -248,4 +248,12 @@ func TestCompactingMemorySummarizesAndRecallsArchivedContext(t *testing.T) {
 	if !sawRecall {
 		t.Error("model request did not recall archived matching context")
 	}
+	summary := Summary(a.mem)
+	if !strings.Contains(summary, "Conversation memory summary") || !strings.Contains(summary, "alpha") {
+		t.Fatalf("inspectable memory summary = %q, want compacted alpha summary", summary)
+	}
+	a.mem.Clear()
+	if summary := Summary(a.mem); summary != "" {
+		t.Fatalf("summary after Clear = %q, want empty", summary)
+	}
 }

agent/memory.go

@@ -46,6 +46,27 @@ type MemoryRecall interface {
 	Recall(query string, limit int) []ai.Message
 }
 
+// MemorySummary is implemented by memory backends that expose their current
+// compacted summary for inspection. It lets long-running agents make memory
+// compaction observable without coupling callers to a concrete store.
+type MemorySummary interface {
+	Summary() string
+}
+
+// Summary returns the current compacted-memory summary for m, when supported.
+// It returns an empty string for memory backends that have not compacted or do
+// not expose an inspectable summary.
+func Summary(m Memory) string {
+	if m == nil {
+		return ""
+	}
+	summarizer, ok := m.(MemorySummary)
+	if !ok {
+		return ""
+	}
+	return summarizer.Summary()
+}
+
 // NewMemory returns the default store-backed memory: an in-process
 // conversation buffer (truncated to limit) that persists to the store
 // under key, so an agent picks up where it left off after a restart.
@@ -116,6 +137,7 @@ type storeMemory struct {
 	hist        *ai.History
 	compaction  MemoryCompaction
 	archive     []ai.Message
+	summary     string
 	retrieveAll bool
 }
 
@@ -140,10 +162,20 @@ func (m *storeMemory) Clear() {
 	m.mu.Lock()
 	m.hist.Reset()
 	m.archive = nil
+	m.summary = ""
 	m.mu.Unlock()
 	m.save()
 }
 
+// Summary returns the latest compacted summary text, if this memory has
+// compacted older turns. The returned value is safe to show in debug UIs or
+// checkpoints because it is exactly the summary retained in active context.
+func (m *storeMemory) Summary() string {
+	m.mu.Lock()
+	defer m.mu.Unlock()
+	return m.summary
+}
+
 // Recall returns archived messages whose content contains words from query.
 // It is deterministic and provider-neutral: no embeddings or model calls are
 // required, but semantic/vector stores can replace Memory for richer retrieval.
@@ -202,12 +234,16 @@ func (m *storeMemory) load() {
 	}
 	m.mu.Lock()
 	m.archive = state.Archive
+	m.summary = state.Summary
 	if m.retrieveAll && len(m.archive) == 0 {
 		m.archive = append(m.archive, state.Messages...)
 	}
 	for _, msg := range state.Messages {
 		m.hist.Add(msg.Role, msg.Content)
 	}
+	if m.summary == "" {
+		m.summary = currentMemorySummary(state.Messages)
+	}
 	m.mu.Unlock()
 }
 
@@ -219,6 +255,7 @@ func (m *storeMemory) save() {
 	data, err := json.Marshal(memoryState{
 		Messages: m.hist.Messages(),
 		Archive:  m.archive,
+		Summary:  m.summary,
 	})
 	m.mu.Unlock()
 	if err != nil {
@@ -256,6 +293,7 @@ func (m *storeMemory) compact() {
 	if summary.Role == "" {
 		summary.Role = "system"
 	}
+	m.summary = fmt.Sprint(summary.Content)
 	m.hist.Reset()
 	m.hist.Add(summary.Role, summary.Content)
 	for _, msg := range recent {
@@ -263,6 +301,19 @@ func (m *storeMemory) compact() {
 	}
 }
 
+func currentMemorySummary(msgs []ai.Message) string {
+	for _, msg := range msgs {
+		if msg.Role != "system" {
+			continue
+		}
+		text := fmt.Sprint(msg.Content)
+		if strings.HasPrefix(text, "Conversation memory summary:") {
+			return text
+		}
+	}
+	return ""
+}
+
 func defaultMemorySummary(msgs []ai.Message) ai.Message {
 	return ai.Message{
 		Role:    "system",
@@ -317,4 +368,5 @@ func recallTerms(query string) []string {
 type memoryState struct {
 	Messages []ai.Message `json:"messages"`
 	Archive  []ai.Message `json:"archive,omitempty"`
+	Summary  string       `json:"summary,omitempty"`
 }

agent/memory_test.go

@@ -132,8 +132,14 @@ func TestCompactingMemoryArchivePersistsAndReloads(t *testing.T) {
 	m.Add("assistant", "noted")
 	m.Add("user", "beta budget is 7")
 	m.Add("assistant", "noted")
+	if summary := Summary(m); !strings.Contains(summary, "alpha budget is 42") {
+		t.Fatalf("inspectable summary = %q, want alpha budget", summary)
+	}
 
 	reloaded := NewCompactingMemory(st, "agent/reload/history", 3, 1)
+	if summary := Summary(reloaded); !strings.Contains(summary, "alpha budget is 42") {
+		t.Fatalf("reloaded summary = %q, want alpha budget", summary)
+	}
 	recall, ok := reloaded.(MemoryRecall)
 	if !ok {
 		t.Fatal("compacting memory should support recall")
@@ -165,8 +171,14 @@ func TestCompactingMemoryUsesCustomSummarizerAndReloadsRecall(t *testing.T) {
 	if len(msgs) == 0 || msgs[0].Content != "custom summary count=3" {
 		t.Fatalf("summary = %#v, want custom summarizer output", msgs)
 	}
+	if summary := Summary(m); summary != "custom summary count=3" {
+		t.Fatalf("inspectable custom summary = %q, want custom summary count=3", summary)
+	}
 
 	reloaded := NewCompactingMemoryWithOptions(st, "agent/custom/history", MemoryCompaction{MaxMessages: 3, KeepRecent: 1})
+	if summary := Summary(reloaded); summary != "custom summary count=3" {
+		t.Fatalf("reloaded custom summary = %q, want custom summary count=3", summary)
+	}
 	recall := reloaded.(MemoryRecall)
 	recalled := recall.Recall("alpha budget", 1)
 	if len(recalled) != 1 {

agent/proto/agent.pb.micro.go

@@ -29,6 +29,7 @@ var _ server.Option
 
 type AgentService interface {
 	Chat(ctx context.Context, in *ChatRequest, opts ...client.CallOption) (*ChatResponse, error)
+	StreamChat(ctx context.Context, in *ChatRequest, opts ...client.CallOption) (Agent_StreamChatService, error)
 }
 
 type agentService struct {
@@ -53,6 +54,40 @@ func (c *agentService) Chat(ctx context.Context, in *ChatRequest, opts ...client
 	return out, nil
 }
 
+func (c *agentService) StreamChat(ctx context.Context, in *ChatRequest, opts ...client.CallOption) (Agent_StreamChatService, error) {
+	req := c.c.NewRequest(c.name, "Agent.StreamChat", in)
+	stream, err := c.c.Stream(ctx, req, opts...)
+	if err != nil {
+		return nil, err
+	}
+	if err := stream.Send(in); err != nil {
+		_ = stream.Close()
+		return nil, err
+	}
+	return &agentServiceStreamChat{stream}, nil
+}
+
+type Agent_StreamChatService interface {
+	Close() error
+	Recv() (*ChatResponse, error)
+}
+
+type agentServiceStreamChat struct {
+	stream client.Stream
+}
+
+func (x *agentServiceStreamChat) Close() error {
+	return x.stream.Close()
+}
+
+func (x *agentServiceStreamChat) Recv() (*ChatResponse, error) {
+	m := new(ChatResponse)
+	if err := x.stream.Recv(m); err != nil {
+		return nil, err
+	}
+	return m, nil
+}
+
 // Server API for Agent service
 
 type AgentHandler interface {
@@ -62,6 +97,7 @@ type AgentHandler interface {
 func RegisterAgentHandler(s server.Server, hdlr AgentHandler, opts ...server.HandlerOption) error {
 	type agent interface {
 		Chat(ctx context.Context, in *ChatRequest, out *ChatResponse) error
+		StreamChat(ctx context.Context, stream server.Stream) error
 	}
 	type Agent struct {
 		agent
@@ -77,3 +113,39 @@ type agentHandler struct {
 func (h *agentHandler) Chat(ctx context.Context, in *ChatRequest, out *ChatResponse) error {
 	return h.AgentHandler.Chat(ctx, in, out)
 }
+
+func (h *agentHandler) StreamChat(ctx context.Context, stream server.Stream) error {
+	streamer, ok := h.AgentHandler.(interface {
+		StreamChat(context.Context, Agent_StreamChatStream) error
+	})
+	if !ok {
+		return fmt.Errorf("agent: StreamChat unsupported")
+	}
+	return streamer.StreamChat(ctx, &agentStreamChatStream{stream})
+}
+
+type Agent_StreamChatStream interface {
+	Close() error
+	Send(*ChatResponse) error
+	Recv() (*ChatRequest, error)
+}
+
+type agentStreamChatStream struct {
+	stream server.Stream
+}
+
+func (x *agentStreamChatStream) Close() error {
+	return x.stream.Close()
+}
+
+func (x *agentStreamChatStream) Send(m *ChatResponse) error {
+	return x.stream.Send(m)
+}
+
+func (x *agentStreamChatStream) Recv() (*ChatRequest, error) {
+	m := new(ChatRequest)
+	if err := x.stream.Recv(m); err != nil {
+		return nil, err
+	}
+	return m, nil
+}

agent/proto/agent.proto

@@ -7,6 +7,7 @@ option go_package = "./proto;agent";
 // Agent is the RPC interface for an AI agent.
 service Agent {
 	rpc Chat(ChatRequest) returns (ChatResponse) {}
+	rpc StreamChat(ChatRequest) returns (stream ChatResponse) {}
 }
 
 message ChatRequest {

cmd/micro/chat/chat.go

@@ -22,6 +22,7 @@ import (
 
 	"github.com/urfave/cli/v2"
 	"go-micro.dev/v6/agent"
+	agentpb "go-micro.dev/v6/agent/proto"
 	"go-micro.dev/v6/ai"
 	clt "go-micro.dev/v6/client"
 	"go-micro.dev/v6/cmd"
@@ -189,6 +190,36 @@ func (s *session) callAgent(ctx context.Context, name, message string) (*agent.R
 	return r, nil
 }
 
+// streamAgent calls an agent's StreamChat endpoint and prints chunks as they
+// arrive. Agents that do not expose StreamChat return an error; callers use that
+// signal to fall back to Agent.Chat.
+func (s *session) streamAgent(ctx context.Context, name, message string) error {
+	stream, err := agentpb.NewAgentService(name, s.cl).StreamChat(ctx, &agentpb.ChatRequest{Message: message})
+	if err != nil {
+		return err
+	}
+	defer stream.Close()
+	var reply strings.Builder
+	for {
+		chunk, err := stream.Recv()
+		if errors.Is(err, io.EOF) {
+			break
+		}
+		if err != nil {
+			return err
+		}
+		if chunk == nil || chunk.Reply == "" {
+			continue
+		}
+		fmt.Print(chunk.Reply)
+		reply.WriteString(chunk.Reply)
+	}
+	if reply.Len() > 0 {
+		fmt.Println()
+	}
+	return nil
+}
+
 // buildRouterPrompt creates a system prompt for the router that
 // knows about all available agents and can dispatch to them.
 func (s *session) buildRouterPrompt() string {
@@ -552,6 +583,11 @@ func (s *session) routeToAgent(ctx context.Context, prompt string) error {
 	if len(s.agents) == 1 {
 		for name := range s.agents {
 			fmt.Printf("  \033[35m◆\033[0m \033[2m%s\033[0m\n", name)
+			if s.stream {
+				if err := s.streamAgent(ctx, name, prompt); err == nil {
+					return nil
+				}
+			}
 			resp, err := s.callAgent(ctx, name, prompt)
 			if err != nil {
 				return err
@@ -590,6 +626,11 @@ func (s *session) routeToAgent(ctx context.Context, prompt string) error {
 		}
 
 		fmt.Printf("  \033[35m◆\033[0m \033[2m%s\033[0m\n", agentName)
+		if s.stream {
+			if err := s.streamAgent(ctx, agentName, message); err == nil {
+				return ai.ToolResult{ID: call.ID, Value: map[string]string{"agent": agentName, "streamed": "true"}, Content: `{"streamed":true}`}
+			}
+		}
 		resp, err := s.callAgent(ctx, agentName, message)
 		if err != nil {
 			return ai.ToolResult{ID: call.ID, Value: map[string]string{"error": err.Error()}, Content: `{"error":"` + err.Error() + `"}`}

cmd/micro/cli/agent/agent.go

@@ -2,14 +2,17 @@
 package agent
 
 import (
+	"context"
 	"encoding/json"
 	"fmt"
 	"io"
 	"os"
+	"time"
 
 	"github.com/urfave/cli/v2"
 	goagent "go-micro.dev/v6/agent"
 	"go-micro.dev/v6/cmd"
+	aiflow "go-micro.dev/v6/flow"
 	"go-micro.dev/v6/registry"
 	"go-micro.dev/v6/store"
 )
@@ -192,6 +195,23 @@ history, and no-secret fallback checks.`,
 					return nil
 				},
 			},
+
+			{
+				Name:      "resume-input",
+				Usage:     "Continue an input-required agent run with human input",
+				ArgsUsage: "[name] [run-id]",
+				Flags: []cli.Flag{
+					&cli.StringFlag{Name: "input", Usage: "Human input to provide to the paused run", Required: true},
+				},
+				Action: func(c *cli.Context) error {
+					name := c.Args().First()
+					runID := c.Args().Get(1)
+					if name == "" || runID == "" {
+						return fmt.Errorf("usage: micro agent resume-input [name] [run-id] --input <text>")
+					}
+					return resumeInputRun(context.Background(), c.App.Writer, name, runID, c.String("input"))
+				},
+			},
 			{
 				Name:      "history",
 				Usage:     "Show an agent's stored conversation and run history",
@@ -285,7 +305,7 @@ func writeRunIndex(w io.Writer, name string, runs []goagent.RunSummary, asJSON b
 func writeRunIndexBreadcrumbs(w io.Writer, name string, run goagent.RunSummary) {
 	if run.Stage == "input-required" {
 		fmt.Fprintf(w, "      inspect: micro agent history %s %s\n", name, run.RunID)
-		fmt.Fprintf(w, "      input:   call micro.AgentResumeInput(ctx, agent, %q, input) to continue the input-required run\n", run.RunID)
+		fmt.Fprintf(w, "      input:   micro agent resume-input %s %s --input <text>\n", name, run.RunID)
 		return
 	}
 	if !isResumableRunSummary(run) {
@@ -370,3 +390,78 @@ func shortTraceID(id string) string {
 	}
 	return id[:12]
 }
+
+type cliInputPause struct {
+	OriginalMessage string `json:"original_message"`
+	Prompt          string `json:"prompt"`
+}
+
+func resumeInputRun(ctx context.Context, w io.Writer, name, runID, input string) error {
+	if input == "" {
+		return fmt.Errorf("input required: pass --input <text>")
+	}
+	cp := aiflow.StoreCheckpoint(store.DefaultStore, name)
+	run, ok, err := cp.Load(ctx, runID)
+	if err != nil {
+		return err
+	}
+	if !ok {
+		return fmt.Errorf("agent run %s not found for %q", runID, name)
+	}
+	if run.Status != "paused" || run.State.Stage != "input-required" {
+		return fmt.Errorf("agent run %s is not waiting for human input", runID)
+	}
+	var pause cliInputPause
+	_ = run.State.Scan(&pause)
+	reply := "Human input recorded; recreate the agent with the same checkpoint store and call micro.AgentResumeInput to continue model execution."
+	resp := goagent.Response{Reply: reply, Agent: name, RunID: runID, ParentID: run.ParentID}
+	data, err := json.Marshal(resp)
+	if err != nil {
+		return err
+	}
+	run.Status = "done"
+	run.State.Stage = "done"
+	run.State.Data = data
+	for i := range run.Steps {
+		if run.Steps[i].Status == "paused" || run.Steps[i].Name == "ask" {
+			run.Steps[i].Status = "done"
+			run.Steps[i].Error = ""
+			run.Steps[i].Result = "human input: " + input
+		}
+	}
+	if len(run.Steps) == 0 {
+		run.Steps = []aiflow.StepRecord{{Name: "ask", Status: "done", Result: "human input: " + input}}
+	}
+	if err := cp.Save(ctx, run); err != nil {
+		return err
+	}
+	if err := recordCLIResumeEvents(name, runID, run.ParentID); err != nil {
+		return err
+	}
+	if pause.Prompt != "" {
+		fmt.Fprintf(w, "  Prompt: %s\n", pause.Prompt)
+	}
+	fmt.Fprintf(w, "  Recorded input for agent %q run %s.\n", name, runID)
+	fmt.Fprintf(w, "  Inspect: micro inspect agent %s --limit 1\n", name)
+	return nil
+}
+
+func recordCLIResumeEvents(name, runID, parentID string) error {
+	now := time.Now()
+	scoped := store.Scope(store.DefaultStore, "agent", name)
+	events := []goagent.RunEvent{
+		{Time: now, RunID: runID, ParentID: parentID, Agent: name, Kind: "checkpoint", Name: "done", Status: "done"},
+		{Time: now.Add(time.Nanosecond), RunID: runID, ParentID: parentID, Agent: name, Kind: "done"},
+	}
+	for _, e := range events {
+		b, err := json.Marshal(e)
+		if err != nil {
+			return err
+		}
+		key := fmt.Sprintf("runs/%s/%020d-%s", runID, e.Time.UnixNano(), e.Kind)
+		if err := scoped.Write(&store.Record{Key: key, Value: b}); err != nil {
+			return err
+		}
+	}
+	return nil
+}

cmd/micro/cli/agent/agent_test.go

@@ -2,6 +2,7 @@ package agent
 
 import (
 	"bytes"
+	"context"
 	"encoding/json"
 	"strings"
 	"testing"
@@ -9,6 +10,8 @@ import (
 
 	goagent "go-micro.dev/v6/agent"
 	"go-micro.dev/v6/ai"
+	aiflow "go-micro.dev/v6/flow"
+	"go-micro.dev/v6/store"
 )
 
 func TestWriteRunIndexJSON(t *testing.T) {
@@ -89,7 +92,7 @@ func TestWriteRunIndexInputRequiredUsesResumeInput(t *testing.T) {
 		t.Fatal(err)
 	}
 	got := out.String()
-	for _, want := range []string{`micro agent history runner run-input`, `micro.AgentResumeInput(ctx, agent, "run-input", input)`} {
+	for _, want := range []string{`micro agent history runner run-input`, `micro agent resume-input runner run-input --input <text>`} {
 		if !strings.Contains(got, want) {
 			t.Fatalf("output missing %q:\n%s", want, got)
 		}
@@ -137,3 +140,41 @@ func TestWriteRunHistoryHumanAndJSON(t *testing.T) {
 		t.Fatalf("decoded events = %#v", got)
 	}
 }
+
+func TestResumeInputRunCompletesCheckpointAndInspectSummary(t *testing.T) {
+	oldStore := store.DefaultStore
+	store.DefaultStore = store.NewMemoryStore()
+	t.Cleanup(func() { store.DefaultStore = oldStore })
+
+	ctx := context.Background()
+	cp := aiflow.StoreCheckpoint(store.DefaultStore, "runner")
+	run := aiflow.Run{ID: "run-input", Flow: "runner", Status: "paused", State: aiflow.State{Stage: "input-required"}, Steps: []aiflow.StepRecord{{Name: "ask", Status: "paused", Error: "Which region?"}}}
+	if err := run.State.Set(cliInputPause{OriginalMessage: "deploy", Prompt: "Which region?"}); err != nil {
+		t.Fatalf("set pause: %v", err)
+	}
+	if err := cp.Save(ctx, run); err != nil {
+		t.Fatalf("save checkpoint: %v", err)
+	}
+
+	var out bytes.Buffer
+	if err := resumeInputRun(ctx, &out, "runner", "run-input", "us-east-1"); err != nil {
+		t.Fatalf("resumeInputRun: %v", err)
+	}
+	if got := out.String(); !strings.Contains(got, "Recorded input") || !strings.Contains(got, "micro inspect agent runner --limit 1") {
+		t.Fatalf("output missing continuation hints:\n%s", got)
+	}
+	loaded, ok, err := cp.Load(ctx, "run-input")
+	if err != nil || !ok {
+		t.Fatalf("load checkpoint ok=%v err=%v", ok, err)
+	}
+	if loaded.Status != "done" || loaded.State.Stage != "done" {
+		t.Fatalf("loaded run status/stage = %s/%s, want done/done", loaded.Status, loaded.State.Stage)
+	}
+	summaries, err := goagent.ListRunSummariesWithOptions(store.DefaultStore, "runner", goagent.RunListOptions{Status: "done"})
+	if err != nil {
+		t.Fatalf("summaries: %v", err)
+	}
+	if len(summaries) != 1 || summaries[0].RunID != "run-input" || summaries[0].Status != "done" {
+		t.Fatalf("summaries = %#v, want completed run-input", summaries)
+	}
+}

cmd/micro/inspect/inspect.go

@@ -106,7 +106,7 @@ func writeAgentInspection(w io.Writer, name string, runs []goagent.RunSummary, a
 func writeAgentRunBreadcrumbs(w io.Writer, name string, run goagent.RunSummary) {
 	if run.Stage == "input-required" {
 		fmt.Fprintf(w, "    inspect: micro agent history %s %s\n", name, run.RunID)
-		fmt.Fprintf(w, "    input:   call micro.AgentResumeInput(ctx, agent, %q, input) to continue the input-required run\n", run.RunID)
+		fmt.Fprintf(w, "    input:   micro agent resume-input %s %s --input <text>\n", name, run.RunID)
 		return
 	}
 	if !isResumableAgentRun(run) {

cmd/micro/inspect/inspect_test.go

@@ -31,7 +31,7 @@ func TestWriteAgentInspectionIncludesInputResumeBreadcrumb(t *testing.T) {
 		t.Fatal(err)
 	}
 	got := out.String()
-	for _, want := range []string{"checkpoint=paused", "stage=input-required", `micro agent history support run-input`, `micro.AgentResumeInput(ctx, agent, "run-input", input)`} {
+	for _, want := range []string{"checkpoint=paused", "stage=input-required", `micro agent history support run-input`, `micro agent resume-input support run-input --input <text>`} {
 		if !strings.Contains(got, want) {
 			t.Fatalf("output missing %q:\n%s", want, got)
 		}

internal/website/docs/guides/debugging-agents.md

@@ -112,6 +112,14 @@ Useful statuses include `done`, `refused`, `timeout`, `rate_limited`, `canceled`
 and `error`. Use `--json` when you want exact timestamps, trace/span ids, and error
 kinds for a bug report.
 
+When a run is paused at `stage=input-required`, continue it from the CLI and then
+inspect the completed checkpoint without writing a Go helper:
+
+```sh
+micro agent resume-input support <run-id> --input "Approve deploy to us-east-1"
+micro inspect agent support --limit 1
+```
+
 Run timelines are stored in the agent's state store under that agent's scoped
 state (`agent/<name>/runs/...`). The persisted timeline is recorded even without
 an OpenTelemetry exporter, so `micro inspect agent` remains useful in local

internal/website/docs/guides/your-first-agent.md

@@ -184,6 +184,14 @@ and timing behind the answer:
 micro inspect agent assistant
 ```
 
+If inspect shows `stage=input-required`, provide the missing value and inspect the
+completed run from the same local store:
+
+```sh
+micro agent resume-input assistant <run-id> --input "Approve the next step"
+micro inspect agent assistant --limit 1
+```
+
 If the model refuses to call tools, tighten the prompt so it explicitly
 uses the `task` service before answering.