session: rename exports for clean public API

- Core interface → Session interface
- NewAgentCore → New
- AgentCoreConfig → Config
- Config (agent JSON) → AgentConfig
- types.go → session.go (defines Session interface)
- session.go → history.go (History type, persistence)
This commit is contained in:
Levi Neely 2026-07-29 19:17:00 +02:00
parent 6ee949bd7c
commit 916b31ee89
6 changed files with 889 additions and 889 deletions

View File

@ -58,7 +58,7 @@ func (p Prompt) MarshalJSON() ([]byte, error) {
return json.Marshal(p.Value)
}
type Config struct {
type AgentConfig struct {
Hooks map[string]HookCmds `json:"hooks,omitempty"`
Prompt Prompt `json:"prompt,omitempty"`
Backend string `json:"backend,omitempty"`
@ -90,8 +90,8 @@ type Config struct {
}
// Load parses a Config from r.
func Load(r io.Reader) (*Config, error) {
var cfg Config
func Load(r io.Reader) (*AgentConfig, error) {
var cfg AgentConfig
if err := json.NewDecoder(r).Decode(&cfg); err != nil {
return nil, err
}
@ -100,6 +100,6 @@ func Load(r io.Reader) (*Config, error) {
// ToolsEnabled reports whether tool use is enabled. Defaults to true when
// the field is omitted from the config.
func (c *Config) ToolsEnabled() bool {
func (c *AgentConfig) ToolsEnabled() bool {
return c.Tools == nil || *c.Tools
}

View File

@ -96,7 +96,7 @@ func newCore(t *testing.T, be backend.Backend, hooks Hooks) *harness {
Hooks: hooks,
Preamble: "test system prompt",
}
c := NewAgentCore(AgentCoreConfig{
c := New(Config{
Backend: be,
AgentName: "test",
AgentsDir: t.TempDir(),
@ -111,7 +111,7 @@ func newCore(t *testing.T, be backend.Backend, hooks Hooks) *harness {
}
// collectEvents runs Submit synchronously and returns all emitted events.
func collectEvents(ctx context.Context, c Core, input string) []Event {
func collectEvents(ctx context.Context, c Session, input string) []Event {
var mu sync.Mutex
var evs []Event
sub := c.Bus().Subscribe("event", func(ev Event) {
@ -138,7 +138,7 @@ func byRole(evs []Event, role string) []string {
}
// waitState blocks until c.State() == want, failing after 2 s.
func waitState(t *testing.T, c Core, want string) {
func waitState(t *testing.T, c Session, want string) {
t.Helper()
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
defer cancel()
@ -1779,7 +1779,7 @@ func TestSetSessionID_UpdatesPreamble(t *testing.T) {
env := &Runtime{
Preamble: "session is " + oldID + " end",
}
c := NewAgentCore(AgentCoreConfig{
c := New(Config{
Backend: defaultBE(),
AgentName: "test",
AgentsDir: t.TempDir(),
@ -2280,7 +2280,7 @@ func newCoreWithExecServer(t *testing.T, srv *mockEnvServer) *harness {
Preamble: "test system prompt",
Dispatcher: d,
}
c := NewAgentCore(AgentCoreConfig{
c := New(Config{
Backend: defaultBE(),
AgentName: "test",
AgentsDir: t.TempDir(),
@ -2396,7 +2396,7 @@ func TestBuildRuntime_NilConfig(t *testing.T) {
func TestBuildRuntime_PromptBecomesPreamble(t *testing.T) {
setupCfgDir(t)
d := tools.NewDispatcher()
cfg := &Config{Prompt: Prompt{Value: []string{"the prompt"}}}
cfg := &AgentConfig{Prompt: Prompt{Value: []string{"the prompt"}}}
env := BuildRuntime(cfg, d, t.TempDir(), nil)
if env.Preamble != "the prompt" {
@ -2408,7 +2408,7 @@ func TestBuildRuntime_HooksAndParams(t *testing.T) {
setupCfgDir(t)
d := tools.NewDispatcher()
temp := 0.7
cfg := &Config{
cfg := &AgentConfig{
Hooks: map[string]HookCmds{"preTurn": {"echo hi"}},
MaxTokens: 512,
Temperature: &temp,
@ -2492,7 +2492,7 @@ func TestBuildRuntime_ToolsDisabled(t *testing.T) {
tools: []tools.ToolInfo{{Server: "s1", Name: "mytool", Description: "desc", InputSchema: json.RawMessage(`{}`)}},
}
f := false
cfg := &Config{Tools: &f}
cfg := &AgentConfig{Tools: &f}
env := BuildRuntime(cfg, d, t.TempDir(), nil)
if len(env.Tools) != 0 {
t.Errorf("expected no tools when disabled; got %+v", env.Tools)
@ -2502,7 +2502,7 @@ func TestBuildRuntime_ToolsDisabled(t *testing.T) {
func TestBuildRuntime_PromptOnly(t *testing.T) {
setupCfgDir(t)
d := tools.NewDispatcher()
cfg := &Config{Prompt: Prompt{Value: []string{"only agent"}}}
cfg := &AgentConfig{Prompt: Prompt{Value: []string{"only agent"}}}
env := BuildRuntime(cfg, d, t.TempDir(), nil)
if env.Preamble != "only agent" {
t.Errorf("preamble = %q; want %q", env.Preamble, "only agent")
@ -2512,7 +2512,7 @@ func TestBuildRuntime_PromptOnly(t *testing.T) {
func TestBuildRuntime_ExecPrompt(t *testing.T) {
setupCfgDir(t)
d := tools.NewDispatcher()
cfg := &Config{Prompt: Prompt{
cfg := &AgentConfig{Prompt: Prompt{
Value: []string{"echo hello", "echo 'You are a security auditor.'", "echo world"},
IsExec: true,
}}
@ -2532,7 +2532,7 @@ func TestBuildRuntime_ExecPromptFileResolution(t *testing.T) {
t.Setenv("OLLIE_PROMPTS_PATH", promptsDir)
d := tools.NewDispatcher()
cfg := &Config{Prompt: Prompt{
cfg := &AgentConfig{Prompt: Prompt{
Value: []string{"test-prompt", "echo extra"},
IsExec: true,
}}

View File

@ -35,7 +35,7 @@ type toolClassifier func(name string) bool
// env provides additional environment variables injected into prompt resolution
// subprocesses (e.g. OLLIE_SESSION_ID=xxx).
// The caller is responsible for registering all servers on d before calling this.
func BuildRuntime(cfg *Config, d tools.Dispatcher, cwd string, env []string, baseLayers ...string) *Runtime {
func BuildRuntime(cfg *AgentConfig, d tools.Dispatcher, cwd string, env []string, baseLayers ...string) *Runtime {
var messages []string
var allToolInfos []tools.ToolInfo
@ -269,8 +269,8 @@ type actionHandle struct {
cancel context.CancelCauseFunc
}
// AgentCoreConfig is the configuration for creating an agent.
type AgentCoreConfig struct {
// Config is the configuration for creating an agent.
type Config struct {
Backend backend.Backend
ModelName string // if non-empty, overrides backend's default model
AgentName string
@ -392,7 +392,7 @@ func (a *harness) pushLockDir() {
}
var _ Core = (*harness)(nil) // compile-time interface check
var _ Session = (*harness)(nil) // compile-time interface check
var sweepTmpOnce sync.Once
@ -435,8 +435,8 @@ func sweepStaleTmpDirs() {
})
}
// NewAgentCore creates an agent from the given configuration.
func NewAgentCore(cfg AgentCoreConfig) Core {
// New creates an agent from the given configuration.
func New(cfg Config) Session {
sweepStaleTmpDirs()
if cfg.ModelName != "" {
cfg.Backend.SetModel(cfg.ModelName)
@ -450,7 +450,7 @@ func NewAgentCore(cfg AgentCoreConfig) Core {
}
// Store the backend on the runtime so it's the single source of truth.
rt.Backend = cfg.Backend
// A non-zero MaxSteps in AgentCoreConfig takes precedence over the
// A non-zero MaxSteps in Config takes precedence over the
// value loaded from the agent JSON.
if cfg.MaxSteps > 0 {
rt.MaxSteps = cfg.MaxSteps

696
session/history.go Normal file
View File

@ -0,0 +1,696 @@
package session
import (
"context"
"encoding/json"
"fmt"
"os"
"slices"
"strings"
"time"
"ollie/backend"
)
const (
compactionPrompt = `You are performing a CONTEXT CHECKPOINT COMPACTION. Produce a JSON object summarizing the current task state. Output ONLY valid JSON matching this schema:
{
"objective": "the user's overall goal",
"plan_step": "what step you are currently on",
"constraints": ["any constraints or user preferences"],
"last_action": "brief: last tool/action + outcome",
"open_questions": ["unresolved questions"],
"next_decision": "what to do next"
}
Be concise. Capture what another LLM needs to seamlessly continue.`
// hotTailSize is the number of most recent messages kept verbatim (hot zone).
hotTailSize = 8
// warmIndexSize is the number of messages preceding the hot zone
// summarized as a brief decision index (warm zone).
warmIndexSize = 10
)
type Reaction struct {
ID string `json:"id"`
ResponseID string `json:"responseId"`
Emoji string `json:"emoji"`
Category string `json:"category"`
CreatedAt time.Time `json:"createdAt"`
}
// PersistedSession is the on-disk format for a saved session.
type PersistedSession struct {
ID string `json:"id"`
Agent string `json:"agent,omitempty"`
Backend string `json:"backend,omitempty"`
Model string `json:"model,omitempty"`
CWD string `json:"cwd,omitempty"`
Remote string `json:"remote,omitempty"`
Messages []backend.Message `json:"messages"`
TaskState *TaskState `json:"taskState,omitempty"`
// Usage and cost tracking, persisted across restarts.
TotalInputTokens int `json:"totalInputTokens,omitempty"`
TotalCachedInputTokens int `json:"totalCachedInputTokens,omitempty"`
TotalCacheCreationTokens int `json:"totalCacheCreationTokens,omitempty"`
TotalOutputTokens int `json:"totalOutputTokens,omitempty"`
TotalRequests int `json:"totalRequests,omitempty"`
Estimated bool `json:"estimated,omitempty"`
LastTurnCostUSD float64 `json:"lastTurnCostUSD,omitempty"`
SessionCostUSD float64 `json:"sessionCostUSD,omitempty"`
// Reaction tracking.
PositiveReactions int `json:"positiveReactions,omitempty"`
NegativeReactions int `json:"negativeReactions,omitempty"`
Reactions []Reaction `json:"reactions,omitempty"`
}
// TaskState is a compact structured overlay that summarizes the agent's
// current position in a task. Injected at the top of every turn so the
// model doesn't rely on full history recall.
type TaskState struct {
Objective string `json:"objective"`
PlanStep string `json:"plan_step"`
Constraints []string `json:"constraints,omitempty"`
LastAction string `json:"last_action"`
OpenQuestions []string `json:"open_questions,omitempty"`
NextDecision string `json:"next_decision"`
}
// render produces a compact text representation for injection into the message history.
func (ts *TaskState) render() string {
if ts.Objective == "" {
return ""
}
var sb strings.Builder
sb.WriteString("[task state]\n")
sb.WriteString("objective: " + ts.Objective + "\n")
if ts.PlanStep != "" {
sb.WriteString("plan_step: " + ts.PlanStep + "\n")
}
if len(ts.Constraints) > 0 {
sb.WriteString("constraints: " + strings.Join(ts.Constraints, "; ") + "\n")
}
if ts.LastAction != "" {
sb.WriteString("last_action: " + ts.LastAction + "\n")
}
if len(ts.OpenQuestions) > 0 {
sb.WriteString("open_questions: " + strings.Join(ts.OpenQuestions, "; ") + "\n")
}
if ts.NextDecision != "" {
sb.WriteString("next_decision: " + ts.NextDecision + "\n")
}
sb.WriteString("[/task state]")
return sb.String()
}
// saveTo writes the full message history to path as JSON.
func (s *History) saveTo(path, id, agentName, cwd string) error {
return s.saveToFull(path, id, agentName, "", "", cwd, "")
}
// saveToFull writes session state including backend/model info.
func sanitizeMessages(msgs []backend.Message) []backend.Message {
out := make([]backend.Message, 0, len(msgs))
for _, m := range msgs {
for j, tc := range m.ToolCalls {
if len(tc.Arguments) > 0 {
var dummy json.RawMessage
if err := json.Unmarshal(tc.Arguments, &dummy); err != nil {
// Corrupted arguments — replace with empty object so save succeeds.
m.ToolCalls[j].Arguments = json.RawMessage("{}")
}
}
}
out = append(out, m)
}
return out
}
func (s *History) saveToFull(path, id, agentName, backendName, modelName, cwd, remote string) error {
ps := PersistedSession{
ID: id,
Agent: agentName,
Backend: backendName,
Model: modelName,
CWD: cwd,
Remote: remote,
Messages: sanitizeMessages(s.messages),
TaskState: s.TaskState,
TotalInputTokens: s.TotalInputTokens,
TotalCachedInputTokens: s.TotalCachedInputTokens,
TotalCacheCreationTokens: s.TotalCacheCreationTokens,
TotalOutputTokens: s.TotalOutputTokens,
TotalRequests: s.TotalRequests,
Estimated: s.Estimated,
LastTurnCostUSD: s.LastTurnCostUSD,
SessionCostUSD: s.SessionCostUSD,
PositiveReactions: s.PositiveReactions,
NegativeReactions: s.NegativeReactions,
Reactions: s.Reactions,
}
data, err := json.Marshal(ps)
if err != nil {
return fmt.Errorf("session save: %w", err)
}
// Atomic write: write to temp file, then rename to preserve last good snapshot.
tmpPath := path + ".tmp"
if err := os.WriteFile(tmpPath, data, 0600); err != nil {
return fmt.Errorf("session save tmp: %w", err)
}
return os.Rename(tmpPath, path)
}
// LoadPersistedSession reads a PersistedSession from a JSON file.
func LoadPersistedSession(path string) (*PersistedSession, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, err
}
var ps PersistedSession
if err := json.Unmarshal(data, &ps); err != nil {
return nil, fmt.Errorf("parse session %s: %w", path, err)
}
return &ps, nil
}
// RestoreHistory reconstructs a Session from a persisted message list.
func RestoreHistory(ps *PersistedSession) *History {
s := &History{
messages: ps.Messages,
TaskState: ps.TaskState,
TotalInputTokens: ps.TotalInputTokens,
TotalCachedInputTokens: ps.TotalCachedInputTokens,
TotalCacheCreationTokens: ps.TotalCacheCreationTokens,
TotalOutputTokens: ps.TotalOutputTokens,
TotalRequests: ps.TotalRequests,
Estimated: ps.Estimated,
LastTurnCostUSD: ps.LastTurnCostUSD,
SessionCostUSD: ps.SessionCostUSD,
PositiveReactions: ps.PositiveReactions,
NegativeReactions: ps.NegativeReactions,
Reactions: ps.Reactions,
}
for i := range s.messages {
if s.messages[i].Role == "assistant" && s.messages[i].ID == "" {
s.messages[i].ID = NewResponseID()
}
}
for _, m := range ps.Messages {
if m.Role == "user" {
s.goal = m.Content
break
}
}
return s
}
// History is an ephemeral in-memory state backend.
type History struct {
goal string
messages []backend.Message
TaskState *TaskState
// Cumulative usage tracking.
TotalInputTokens int
TotalCachedInputTokens int
TotalCacheCreationTokens int
TotalOutputTokens int
TotalRequests int
Estimated bool // true if any usage was estimated rather than reported by the backend
LastTurnCostUSD float64 // cost of the most recently completed turn in USD
SessionCostUSD float64 // cumulative cost of all turns in this session in USD
// per-turn accumulators; reset at the start of each turn
turnInputTokens int
turnCachedTokens int
turnCreationTokens int
turnOutputTokens int
turnCostUSD float64 // >0 when backend reported cost directly (e.g. OpenRouter)
// Reaction tracking.
PositiveReactions int
NegativeReactions int
Reactions []Reaction
}
// newHistory creates a new empty Session. The caller is responsible for
// appending the initial user message via appendUserMessage.
func newHistory(goal string) *History {
return &History{goal: goal}
}
// Checkpoint forks the session: returns a new Session that inherits the given
// TaskState but starts with a clean message history. This enables narrow-context
// sub-agents that know what to do without inheriting all parent message noise.
func (s *History) Checkpoint(ts TaskState) *History {
child := &History{
goal: ts.Objective,
TaskState: &ts,
}
// Seed with a user message so the child has a valid initial turn.
child.messages = []backend.Message{{
Role: "user",
Content: ts.render(),
}}
return child
}
func (s *History) history() []backend.Message {
if len(s.Reactions) == 0 {
return s.messages
}
// Append feedback after the conversation so assistant tool-call messages stay
// adjacent to their tool results, as required by provider APIs.
out := make([]backend.Message, 0, len(s.messages)+len(s.Reactions))
out = append(out, s.messages...)
for _, r := range s.Reactions {
_, desc, _ := classifyReaction(r.Emoji)
out = append(out, backend.Message{Role: "user", Content: "[reaction to assistant response " + r.ResponseID + ": " + r.Category + " (" + r.Emoji + ")] " + desc})
}
return out
}
func (s *History) taskState() *TaskState {
return s.TaskState
}
func (s *History) updateTaskState(ts TaskState) {
s.TaskState = &ts
}
func (s *History) addUsage(u backend.Usage, estimated bool) {
s.TotalInputTokens += u.InputTokens
s.TotalCachedInputTokens += u.CachedInputTokens
s.TotalCacheCreationTokens += u.CacheCreationTokens
s.TotalOutputTokens += u.OutputTokens
s.TotalRequests++
s.turnInputTokens += u.InputTokens
s.turnCachedTokens += u.CachedInputTokens
s.turnCreationTokens += u.CacheCreationTokens
s.turnOutputTokens += u.OutputTokens
s.turnCostUSD += u.CostUSD
if estimated {
s.Estimated = true
}
}
func (s *History) recomputeReactionCounts() {
s.PositiveReactions = 0
s.NegativeReactions = 0
for _, r := range s.Reactions {
switch r.Category {
case "positive", "excellent":
s.PositiveReactions++
case "negative", "terrible":
s.NegativeReactions++
}
}
}
func (s *History) resetTurnAccumulators() {
s.turnInputTokens = 0
s.turnCachedTokens = 0
s.turnCreationTokens = 0
s.turnOutputTokens = 0
s.turnCostUSD = 0
}
// recordTurnCost computes and stores the last turn's cost, adding it to the
// session total. model is used for the pricing-table fallback when the backend
// did not report cost directly.
func (s *History) recordTurnCost(model string) {
var cost float64
if s.turnCostUSD > 0 {
cost = s.turnCostUSD
} else {
cost = computeCostUSD(model, backend.Usage{
InputTokens: s.turnInputTokens,
CachedInputTokens: s.turnCachedTokens,
CacheCreationTokens: s.turnCreationTokens,
OutputTokens: s.turnOutputTokens,
})
}
s.LastTurnCostUSD = cost
s.SessionCostUSD += cost
}
func (s *History) update(assistant backend.Message, results []toolResult) {
s.messages = append(s.messages, assistant)
for _, r := range results {
s.messages = append(s.messages, backend.Message{
Role: "tool",
Content: r.Content,
ContentBlocks: r.ContentBlocks,
ToolCallID: r.ToolCallID,
})
}
}
// llmSummarizeToolResult uses the LLM to produce a concise summary of a tool result.
func llmSummarizeToolResult(ctx context.Context, b backend.Backend, name, content string) string {
prompt := fmt.Sprintf("Summarize this tool result from %q in 1-3 sentences, preserving key facts, file paths, values, and findings:\n\n%s", name, content)
ch, err := b.ChatStream(ctx, []backend.Message{{Role: "user", Content: prompt}}, nil, backend.GenerationParams{})
if err != nil {
return content
}
var sb strings.Builder
for ev := range ch {
if ev.Content != "" {
sb.WriteString(ev.Content)
}
if ev.Done {
break
}
}
if s := strings.TrimSpace(sb.String()); s != "" {
return fmt.Sprintf("[summary of %s result]: %s", name, s)
}
return content
}
// removeCancelledToolResults filters out tool results that were cancelled due
// to interrupt, keeping completed work. Also removes the corresponding tool
// calls from assistant messages to maintain a valid message sequence.
func (s *History) removeCancelledToolResults() {
// First pass: collect cancelled tool call IDs
cancelled := make(map[string]bool)
for _, m := range s.messages {
if m.Role == "tool" && isCancelledToolResult(m.Content) {
cancelled[m.ToolCallID] = true
}
}
if len(cancelled) == 0 {
return
}
// Second pass: filter messages and prune tool calls from assistant messages
filtered := s.messages[:0]
for _, m := range s.messages {
if m.Role == "tool" && cancelled[m.ToolCallID] {
continue
}
if m.Role == "assistant" && len(m.ToolCalls) > 0 {
// Remove cancelled tool calls from this assistant message
kept := m.ToolCalls[:0]
for _, tc := range m.ToolCalls {
if !cancelled[tc.ID] {
kept = append(kept, tc)
}
}
if len(kept) == 0 && m.Content == "" {
// All tool calls cancelled and no text content - skip message
continue
}
m.ToolCalls = kept
}
filtered = append(filtered, m)
}
s.messages = filtered
}
func isCancelledToolResult(content string) bool {
return strings.Contains(content, `"status":"cancelled"`) ||
strings.Contains(content, "tool execution interrupted by user")
}
// PreCompactionSnapshot returns a copy of the current messages for persistence
// before compaction. Call this before compact().
func (s *History) PreCompactionSnapshot() []backend.Message {
return slices.Clone(s.messages)
}
// Compact summarizes the conversation via an LLM call, replacing the history
// with system messages + preserved user messages + a structured summary.
// Returns (n compacted, summary text, error); n==0 means nothing to compact.
func (s *History) compact(ctx context.Context, b backend.Backend) (int, string, error) {
if len(s.messages) <= hotTailSize+warmIndexSize {
return 0, "", nil
}
// Flatten tool calls into plain text so the compaction request
// doesn't need tool schemas.
flattened := flattenToolMessages(s.messages)
flattened = append(flattened, backend.Message{
Role: "user",
Content: compactionPrompt,
})
ch, err := b.ChatStream(ctx, flattened, nil, backend.GenerationParams{})
if err != nil {
return 0, "", fmt.Errorf("compact: %w", err)
}
var summary strings.Builder
for ev := range ch {
if ev.Content != "" {
summary.WriteString(ev.Content)
}
if ev.Done {
break
}
}
summaryText := strings.TrimSpace(summary.String())
if summaryText == "" {
return 0, "", fmt.Errorf("compact: empty summary")
}
// Parse structured task state from the model's JSON response.
var ts TaskState
raw := extractJSON(summaryText)
if err := json.Unmarshal([]byte(raw), &ts); err != nil {
// Fallback: treat as unstructured summary if JSON parse fails.
ts = TaskState{Objective: summaryText}
}
s.TaskState = &ts
beforeCount := len(s.messages)
s.messages = buildCompactedHistory(ts, s.messages)
return beforeCount - len(s.messages), summaryText, nil
}
// buildCompactedHistory constructs a three-zone post-compaction message list:
// - Cold: structured task state summary (everything older than warm+hot)
// - Warm: brief index of recent decisions/actions (warmIndexSize messages)
// - Hot: last hotTailSize messages verbatim
func buildCompactedHistory(ts TaskState, allMessages []backend.Message) []backend.Message {
total := len(allMessages)
// Determine zone boundaries.
hotStart := total - hotTailSize
if hotStart < 0 {
hotStart = 0
}
// If hotStart lands on a tool message, walk backward to include the
// preceding assistant message with tool_calls. Without this, the hot
// zone starts with an orphaned tool result which violates the OpenAI
// API constraint that tool messages must follow an assistant message
// containing the corresponding tool_calls.
for hotStart > 0 && allMessages[hotStart].Role == "tool" {
hotStart--
}
warmStart := hotStart - warmIndexSize
if warmStart < 0 {
warmStart = 0
}
// Cold zone: structured task state.
stateJSON, _ := json.Marshal(ts)
cold := backend.Message{
Role: "user",
Content: "[compacted context — cold zone]\n```json\n" + string(stateJSON) + "\n```",
}
var out []backend.Message
out = append(out, cold)
// Warm zone: one-line summaries of decisions in the warm window.
warmSlice := allMessages[warmStart:hotStart]
if len(warmSlice) > 0 {
var sb strings.Builder
sb.WriteString("[warm zone — recent decisions]\n")
for _, m := range warmSlice {
line := summarizeMessage(m)
if line != "" {
sb.WriteString("- ")
sb.WriteString(line)
sb.WriteByte('\n')
}
}
out = append(out, backend.Message{Role: "user", Content: sb.String()})
}
// Hot zone: verbatim recent messages.
out = append(out, allMessages[hotStart:]...)
return out
}
// summarizeMessage produces a one-line summary of a message for the warm index.
func summarizeMessage(m backend.Message) string {
switch m.Role {
case "assistant":
if len(m.ToolCalls) > 0 {
names := make([]string, len(m.ToolCalls))
for i, tc := range m.ToolCalls {
names[i] = tc.Name
}
return "called: " + strings.Join(names, ", ")
}
text := m.Content
if len(text) > 120 {
text = text[:120] + "…"
}
return "said: " + text
case "user":
text := m.Content
if len(text) > 120 {
text = text[:120] + "…"
}
return "user: " + text
case "tool":
text := m.Content
if len(text) > 80 {
text = text[:80] + "…"
}
return "result(" + m.ToolCallID + "): " + text
}
return ""
}
// extractJSON finds the first JSON object in s (handling markdown fences).
func extractJSON(s string) string {
// Strip markdown code fence if present.
if i := strings.Index(s, "```json"); i >= 0 {
s = s[i+7:]
if j := strings.Index(s, "```"); j >= 0 {
s = s[:j]
}
} else if i := strings.Index(s, "```"); i >= 0 {
s = s[i+3:]
if j := strings.Index(s, "```"); j >= 0 {
s = s[:j]
}
}
// Find first { ... }
start := strings.Index(s, "{")
if start < 0 {
return s
}
end := strings.LastIndex(s, "}")
if end < start {
return s
}
return s[start : end+1]
}
// flattenToolMessages converts tool call/result sequences into plain text
// so the compaction request doesn't include tool-specific structures that
// the API may reject when no tools are defined.
func flattenToolMessages(messages []backend.Message) []backend.Message {
out := make([]backend.Message, 0, len(messages))
for _, m := range messages {
switch {
case m.Role == "assistant" && len(m.ToolCalls) > 0:
var sb strings.Builder
if m.Content != "" {
sb.WriteString(m.Content)
sb.WriteString("\n\n")
}
for _, tc := range m.ToolCalls {
fmt.Fprintf(&sb, "[Tool call: %s(%s)]\n", tc.Name, string(tc.Arguments))
}
out = append(out, backend.Message{Role: "assistant", Content: sb.String()})
case m.Role == "tool":
text := m.Content
if len(text) > 4000 {
text = text[:4000] + "..."
}
out = append(out, backend.Message{
Role: "user",
Content: fmt.Sprintf("[Tool result for %s]:\n%s", m.ToolCallID, text),
})
default:
out = append(out, m)
}
}
return out
}
func (s *History) appendUserMessage(content string) {
s.messages = append(s.messages, backend.Message{Role: "user", Content: content})
}
// cloneMessages returns a deep copy of the message slice.
func cloneMessages(msgs []backend.Message) []backend.Message {
out := make([]backend.Message, len(msgs))
for i, m := range msgs {
out[i] = backend.Message{
Role: m.Role,
Content: m.Content,
ToolCallID: m.ToolCallID,
}
if len(m.ToolCalls) > 0 {
out[i].ToolCalls = make([]backend.ToolCall, len(m.ToolCalls))
for j, tc := range m.ToolCalls {
out[i].ToolCalls[j] = backend.ToolCall{
ID: tc.ID,
Name: tc.Name,
Arguments: append(json.RawMessage(nil), tc.Arguments...),
}
}
}
}
return out
}
// estimateTokens returns a rough token count (~4 chars per token).
func (s *History) estimateTokens() int {
chars := 0
for _, m := range s.messages {
chars += len(m.Content)
for _, tc := range m.ToolCalls {
chars += len(tc.Name) + len(tc.Arguments)
}
}
return chars / 4
}
// stripColdResults summarizes large tool-result messages outside the hot tail
// using an LLM call. Messages in the last hotTailSize slots are left verbatim.
func (s *History) stripColdResults(ctx context.Context, b backend.Backend) {
hot := len(s.messages) - hotTailSize
for i := range s.messages {
if i >= hot {
break
}
m := &s.messages[i]
if m.Role == "tool" && len(m.Content) > 200 {
m.Content = llmSummarizeToolResult(ctx, b, m.ToolCallID, m.Content)
}
}
}
// stripCold implements the state interface.
func (s *History) stripCold(ctx context.Context, b backend.Backend) {
s.stripColdResults(ctx, b)
}
// contextDebug returns a multi-line breakdown of the history.
func (s *History) contextDebug() string {
var sb strings.Builder
sb.WriteString(fmt.Sprintf("=== %d messages ===\n", len(s.messages)))
for i, m := range s.messages {
preview := m.Content
if len(preview) > 80 {
preview = preview[:80] + "..."
}
chars := len(m.Content)
for _, tc := range m.ToolCalls {
chars += len(tc.Name) + len(tc.Arguments)
}
sb.WriteString(fmt.Sprintf(" [%d] role=%-10s chars=%-6d %q\n", i, m.Role, chars, preview))
}
return sb.String()
}

View File

@ -2,695 +2,186 @@ package session
import (
"context"
"encoding/json"
"fmt"
"os"
"slices"
"strings"
"time"
"errors"
"github.com/simonfxr/pubsub"
"ollie/backend"
)
// WatchField names supported by Core.WaitChange.
const (
compactionPrompt = `You are performing a CONTEXT CHECKPOINT COMPACTION. Produce a JSON object summarizing the current task state. Output ONLY valid JSON matching this schema:
{
"objective": "the user's overall goal",
"plan_step": "what step you are currently on",
"constraints": ["any constraints or user preferences"],
"last_action": "brief: last tool/action + outcome",
"open_questions": ["unresolved questions"],
"next_decision": "what to do next"
}
Be concise. Capture what another LLM needs to seamlessly continue.`
// hotTailSize is the number of most recent messages kept verbatim (hot zone).
hotTailSize = 8
// warmIndexSize is the number of messages preceding the hot zone
// summarized as a brief decision index (warm zone).
warmIndexSize = 10
WatchState = "state"
WatchUsage = "usage"
WatchCtxSz = "ctxsz"
WatchCWD = "cwd"
WatchAgent = "agent"
)
type Reaction struct {
ID string `json:"id"`
ResponseID string `json:"responseId"`
Emoji string `json:"emoji"`
Category string `json:"category"`
CreatedAt time.Time `json:"createdAt"`
// ErrInterrupted is returned when the user cancels an agent turn (Ctrl-C).
var ErrInterrupted = errors.New("interrupted")
// Event is a typed output event emitted during an agent turn or in response
// to a command.
type Event struct {
Role string
Name string
Content string
ResponseID string
}
// PersistedSession is the on-disk format for a saved session.
type PersistedSession struct {
ID string `json:"id"`
Agent string `json:"agent,omitempty"`
Backend string `json:"backend,omitempty"`
Model string `json:"model,omitempty"`
CWD string `json:"cwd,omitempty"`
Remote string `json:"remote,omitempty"`
Messages []backend.Message `json:"messages"`
TaskState *TaskState `json:"taskState,omitempty"`
// Usage and cost tracking, persisted across restarts.
TotalInputTokens int `json:"totalInputTokens,omitempty"`
TotalCachedInputTokens int `json:"totalCachedInputTokens,omitempty"`
TotalCacheCreationTokens int `json:"totalCacheCreationTokens,omitempty"`
TotalOutputTokens int `json:"totalOutputTokens,omitempty"`
TotalRequests int `json:"totalRequests,omitempty"`
Estimated bool `json:"estimated,omitempty"`
LastTurnCostUSD float64 `json:"lastTurnCostUSD,omitempty"`
SessionCostUSD float64 `json:"sessionCostUSD,omitempty"`
// Reaction tracking.
PositiveReactions int `json:"positiveReactions,omitempty"`
NegativeReactions int `json:"negativeReactions,omitempty"`
Reactions []Reaction `json:"reactions,omitempty"`
// EventHandler receives events from the agent.
type EventHandler func(Event)
// Session is the interface between a frontend (TUI, HTTP handler, etc.) and the
// agent engine. All output from the agent is delivered via the event bus.
type Session interface {
// Submit processes one line of user input. Slash commands and shell
// shortcuts are dispatched synchronously; any other input starts an agent
// turn that publishes events to the bus until the turn is complete.
// After the turn, any queued prompts are drained sequentially.
Submit(ctx context.Context, input string)
// Interrupt cancels the current in-progress agent turn.
// Returns true if an action was running and was cancelled.
Interrupt(cause error) bool
// Inject sends a message that will be appended to the next tool result
// as a user interruption. If no turn is running, it is silently dropped.
Inject(prompt string)
// Queue pushes a prompt onto the FIFO for execution after the current
// turn completes.
Queue(prompt string)
// Bus returns the session event bus.
Bus() *pubsub.Bus
// PopQueue removes and returns the next queued prompt.
// Returns ("", false) if the queue is empty.
PopQueue() (string, bool)
// IsRunning returns true if an agent turn is currently in progress.
IsRunning() bool
// State returns the current agent state: "idle", "thinking", or "calling: <tool>".
State() string
// Reply returns the assistant text from the most recently completed turn.
// Cleared when a new prompt is submitted.
Reply() string
// AgentName returns the name of the active agent.
AgentName() string
// BackendName returns the name of the active backend (e.g. "anthropic", "ollama").
BackendName() string
// ModelName returns the name of the active model.
ModelName() string
// CtxSz returns the estimated context size as a one-line summary.
CtxSz() string
// Usage returns billed token counts as a one-line summary.
Usage() string
// Cost returns per-turn and session cost as a two-line key=value summary.
Cost() string
// ListModels returns available model names, one per line.
ListModels() string
// CWD returns the current working directory used for tool execution.
CWD() string
// SetCWD changes the working directory for tool execution and
// updates the system prompt. Returns an error if the path does not exist.
SetCWD(dir string) error
// SetSessionID renames the session: updates the in-memory ID, renames
// persisted files on disk, and propagates to the execute server env.
SetSessionID(newID string) error
// Context returns the current message history as it would be sent to the
// backend: system prompt prepended, stale reads pruned. Does not include
// tool definitions (see Tools) or generation params (see GenerationParams).
Context() []backend.Message
// SystemPrompt returns the fully rendered system prompt for this session.
SystemPrompt() string
// GenerationParams returns the current sampling parameters.
GenerationParams() backend.GenerationParams
// SetGenerationParams replaces the current sampling parameters.
// Returns an error if the agent is currently running.
SetGenerationParams(params backend.GenerationParams) error
// CompactionModel returns the model override used for context compaction.
CompactionModel() string
// SetCompactionModel changes the model used for context compaction.
SetCompactionModel(model string)
// SetEnv injects a session-scoped environment variable into the shell
// subprocesses. Does not affect the daemon process environment.
SetEnv(key, value string)
// WaitChange blocks until the named field changes from current, then returns
// the new value. Returns ("", false) if ctx is cancelled before a change.
// Supported fields: WatchState, WatchUsage, WatchCtxSz, WatchCWD.
WaitChange(ctx context.Context, field, current string) (string, bool)
// ToolCallCount returns the total number of tool calls executed in this
// session since the agent was created. The counter is monotonically
// increasing and never resets. Blocked calls (pre-tool hook exit 2) are
// not counted. Timed-out or erroring calls are counted because execution
// was attempted. Use modulo arithmetic in hooks to fire every N calls:
// [ $(($(cat tcct) % 10)) -eq 0 ] && ...
ToolCallCount() int64
// SaveSession writes the current session state to the given path.
// The file includes all messages, agent/backend/model metadata, and task state.
SaveSession(path string) error
// Close releases resources associated with the session, including its
// temporary directory under /tmp/ollie/.
Close()
// Detach detaches the currently running process from the agent.
// The process continues running; returns false if nothing is executing.
Detach() bool
// ListDetached returns info about all detached processes.
ListDetached() []DetachedInfo
// SignalDetached sends a signal to a detached process by PID.
SignalDetached(pid, signal int) error
// GetDetachedOutput returns the ring buffer output for a detached process.
GetDetachedOutput(pid int) (string, error)
// DismissDetached removes an exited process from the list.
DismissDetached(pid int) bool
// InjectSystemEvent appends a system-originated message to the session
// context and emits it on the event bus. The agent sees it on its next
// turn; it appears in the chat log immediately.
InjectSystemEvent(content string)
// React records an emoji reaction to the most recent assistant response.
React(emoji string)
// ReactTo records an emoji reaction to a specific assistant response.
ReactTo(responseID, emoji string) error
// Reactions returns the current response ID to emoji mapping.
Reactions() map[string]string
}
// TaskState is a compact structured overlay that summarizes the agent's
// current position in a task. Injected at the top of every turn so the
// model doesn't rely on full history recall.
type TaskState struct {
Objective string `json:"objective"`
PlanStep string `json:"plan_step"`
Constraints []string `json:"constraints,omitempty"`
LastAction string `json:"last_action"`
OpenQuestions []string `json:"open_questions,omitempty"`
NextDecision string `json:"next_decision"`
}
// render produces a compact text representation for injection into the message history.
func (ts *TaskState) render() string {
if ts.Objective == "" {
return ""
}
var sb strings.Builder
sb.WriteString("[task state]\n")
sb.WriteString("objective: " + ts.Objective + "\n")
if ts.PlanStep != "" {
sb.WriteString("plan_step: " + ts.PlanStep + "\n")
}
if len(ts.Constraints) > 0 {
sb.WriteString("constraints: " + strings.Join(ts.Constraints, "; ") + "\n")
}
if ts.LastAction != "" {
sb.WriteString("last_action: " + ts.LastAction + "\n")
}
if len(ts.OpenQuestions) > 0 {
sb.WriteString("open_questions: " + strings.Join(ts.OpenQuestions, "; ") + "\n")
}
if ts.NextDecision != "" {
sb.WriteString("next_decision: " + ts.NextDecision + "\n")
}
sb.WriteString("[/task state]")
return sb.String()
}
// saveTo writes the full message history to path as JSON.
func (s *History) saveTo(path, id, agentName, cwd string) error {
return s.saveToFull(path, id, agentName, "", "", cwd, "")
}
// saveToFull writes session state including backend/model info.
func sanitizeMessages(msgs []backend.Message) []backend.Message {
out := make([]backend.Message, 0, len(msgs))
for _, m := range msgs {
for j, tc := range m.ToolCalls {
if len(tc.Arguments) > 0 {
var dummy json.RawMessage
if err := json.Unmarshal(tc.Arguments, &dummy); err != nil {
// Corrupted arguments — replace with empty object so save succeeds.
m.ToolCalls[j].Arguments = json.RawMessage("{}")
}
}
}
out = append(out, m)
}
return out
}
func (s *History) saveToFull(path, id, agentName, backendName, modelName, cwd, remote string) error {
ps := PersistedSession{
ID: id,
Agent: agentName,
Backend: backendName,
Model: modelName,
CWD: cwd,
Remote: remote,
Messages: sanitizeMessages(s.messages),
TaskState: s.TaskState,
TotalInputTokens: s.TotalInputTokens,
TotalCachedInputTokens: s.TotalCachedInputTokens,
TotalCacheCreationTokens: s.TotalCacheCreationTokens,
TotalOutputTokens: s.TotalOutputTokens,
TotalRequests: s.TotalRequests,
Estimated: s.Estimated,
LastTurnCostUSD: s.LastTurnCostUSD,
SessionCostUSD: s.SessionCostUSD,
PositiveReactions: s.PositiveReactions,
NegativeReactions: s.NegativeReactions,
Reactions: s.Reactions,
}
data, err := json.Marshal(ps)
if err != nil {
return fmt.Errorf("session save: %w", err)
}
// Atomic write: write to temp file, then rename to preserve last good snapshot.
tmpPath := path + ".tmp"
if err := os.WriteFile(tmpPath, data, 0600); err != nil {
return fmt.Errorf("session save tmp: %w", err)
}
return os.Rename(tmpPath, path)
}
// LoadPersistedSession reads a PersistedSession from a JSON file.
func LoadPersistedSession(path string) (*PersistedSession, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, err
}
var ps PersistedSession
if err := json.Unmarshal(data, &ps); err != nil {
return nil, fmt.Errorf("parse session %s: %w", path, err)
}
return &ps, nil
}
// RestoreHistory reconstructs a Session from a persisted message list.
func RestoreHistory(ps *PersistedSession) *History {
s := &History{
messages: ps.Messages,
TaskState: ps.TaskState,
TotalInputTokens: ps.TotalInputTokens,
TotalCachedInputTokens: ps.TotalCachedInputTokens,
TotalCacheCreationTokens: ps.TotalCacheCreationTokens,
TotalOutputTokens: ps.TotalOutputTokens,
TotalRequests: ps.TotalRequests,
Estimated: ps.Estimated,
LastTurnCostUSD: ps.LastTurnCostUSD,
SessionCostUSD: ps.SessionCostUSD,
PositiveReactions: ps.PositiveReactions,
NegativeReactions: ps.NegativeReactions,
Reactions: ps.Reactions,
}
for i := range s.messages {
if s.messages[i].Role == "assistant" && s.messages[i].ID == "" {
s.messages[i].ID = NewResponseID()
}
}
for _, m := range ps.Messages {
if m.Role == "user" {
s.goal = m.Content
break
}
}
return s
}
// History is an ephemeral in-memory state backend.
type History struct {
goal string
messages []backend.Message
TaskState *TaskState
// Cumulative usage tracking.
TotalInputTokens int
TotalCachedInputTokens int
TotalCacheCreationTokens int
TotalOutputTokens int
TotalRequests int
Estimated bool // true if any usage was estimated rather than reported by the backend
LastTurnCostUSD float64 // cost of the most recently completed turn in USD
SessionCostUSD float64 // cumulative cost of all turns in this session in USD
// per-turn accumulators; reset at the start of each turn
turnInputTokens int
turnCachedTokens int
turnCreationTokens int
turnOutputTokens int
turnCostUSD float64 // >0 when backend reported cost directly (e.g. OpenRouter)
// Reaction tracking.
PositiveReactions int
NegativeReactions int
Reactions []Reaction
}
// newHistory creates a new empty Session. The caller is responsible for
// appending the initial user message via appendUserMessage.
func newHistory(goal string) *History {
return &History{goal: goal}
}
// Checkpoint forks the session: returns a new Session that inherits the given
// TaskState but starts with a clean message history. This enables narrow-context
// sub-agents that know what to do without inheriting all parent message noise.
func (s *History) Checkpoint(ts TaskState) *History {
child := &History{
goal: ts.Objective,
TaskState: &ts,
}
// Seed with a user message so the child has a valid initial turn.
child.messages = []backend.Message{{
Role: "user",
Content: ts.render(),
}}
return child
}
func (s *History) history() []backend.Message {
if len(s.Reactions) == 0 {
return s.messages
}
// Append feedback after the conversation so assistant tool-call messages stay
// adjacent to their tool results, as required by provider APIs.
out := make([]backend.Message, 0, len(s.messages)+len(s.Reactions))
out = append(out, s.messages...)
for _, r := range s.Reactions {
_, desc, _ := classifyReaction(r.Emoji)
out = append(out, backend.Message{Role: "user", Content: "[reaction to assistant response " + r.ResponseID + ": " + r.Category + " (" + r.Emoji + ")] " + desc})
}
return out
}
func (s *History) taskState() *TaskState {
return s.TaskState
}
func (s *History) updateTaskState(ts TaskState) {
s.TaskState = &ts
}
func (s *History) addUsage(u backend.Usage, estimated bool) {
s.TotalInputTokens += u.InputTokens
s.TotalCachedInputTokens += u.CachedInputTokens
s.TotalCacheCreationTokens += u.CacheCreationTokens
s.TotalOutputTokens += u.OutputTokens
s.TotalRequests++
s.turnInputTokens += u.InputTokens
s.turnCachedTokens += u.CachedInputTokens
s.turnCreationTokens += u.CacheCreationTokens
s.turnOutputTokens += u.OutputTokens
s.turnCostUSD += u.CostUSD
if estimated {
s.Estimated = true
}
}
func (s *History) recomputeReactionCounts() {
s.PositiveReactions = 0
s.NegativeReactions = 0
for _, r := range s.Reactions {
switch r.Category {
case "positive", "excellent":
s.PositiveReactions++
case "negative", "terrible":
s.NegativeReactions++
}
}
}
func (s *History) resetTurnAccumulators() {
s.turnInputTokens = 0
s.turnCachedTokens = 0
s.turnCreationTokens = 0
s.turnOutputTokens = 0
s.turnCostUSD = 0
}
// recordTurnCost computes and stores the last turn's cost, adding it to the
// session total. model is used for the pricing-table fallback when the backend
// did not report cost directly.
func (s *History) recordTurnCost(model string) {
var cost float64
if s.turnCostUSD > 0 {
cost = s.turnCostUSD
} else {
cost = computeCostUSD(model, backend.Usage{
InputTokens: s.turnInputTokens,
CachedInputTokens: s.turnCachedTokens,
CacheCreationTokens: s.turnCreationTokens,
OutputTokens: s.turnOutputTokens,
})
}
s.LastTurnCostUSD = cost
s.SessionCostUSD += cost
}
func (s *History) update(assistant backend.Message, results []toolResult) {
s.messages = append(s.messages, assistant)
for _, r := range results {
s.messages = append(s.messages, backend.Message{
Role: "tool",
Content: r.Content,
ContentBlocks: r.ContentBlocks,
ToolCallID: r.ToolCallID,
})
}
}
// llmSummarizeToolResult uses the LLM to produce a concise summary of a tool result.
func llmSummarizeToolResult(ctx context.Context, b backend.Backend, name, content string) string {
prompt := fmt.Sprintf("Summarize this tool result from %q in 1-3 sentences, preserving key facts, file paths, values, and findings:\n\n%s", name, content)
ch, err := b.ChatStream(ctx, []backend.Message{{Role: "user", Content: prompt}}, nil, backend.GenerationParams{})
if err != nil {
return content
}
var sb strings.Builder
for ev := range ch {
if ev.Content != "" {
sb.WriteString(ev.Content)
}
if ev.Done {
break
}
}
if s := strings.TrimSpace(sb.String()); s != "" {
return fmt.Sprintf("[summary of %s result]: %s", name, s)
}
return content
}
// removeCancelledToolResults filters out tool results that were cancelled due
// to interrupt, keeping completed work. Also removes the corresponding tool
// calls from assistant messages to maintain a valid message sequence.
func (s *History) removeCancelledToolResults() {
// First pass: collect cancelled tool call IDs
cancelled := make(map[string]bool)
for _, m := range s.messages {
if m.Role == "tool" && isCancelledToolResult(m.Content) {
cancelled[m.ToolCallID] = true
}
}
if len(cancelled) == 0 {
return
}
// Second pass: filter messages and prune tool calls from assistant messages
filtered := s.messages[:0]
for _, m := range s.messages {
if m.Role == "tool" && cancelled[m.ToolCallID] {
continue
}
if m.Role == "assistant" && len(m.ToolCalls) > 0 {
// Remove cancelled tool calls from this assistant message
kept := m.ToolCalls[:0]
for _, tc := range m.ToolCalls {
if !cancelled[tc.ID] {
kept = append(kept, tc)
}
}
if len(kept) == 0 && m.Content == "" {
// All tool calls cancelled and no text content - skip message
continue
}
m.ToolCalls = kept
}
filtered = append(filtered, m)
}
s.messages = filtered
}
func isCancelledToolResult(content string) bool {
return strings.Contains(content, `"status":"cancelled"`) ||
strings.Contains(content, "tool execution interrupted by user")
}
// PreCompactionSnapshot returns a copy of the current messages for persistence
// before compaction. Call this before compact().
func (s *History) PreCompactionSnapshot() []backend.Message {
return slices.Clone(s.messages)
}
// Compact summarizes the conversation via an LLM call, replacing the history
// with system messages + preserved user messages + a structured summary.
// Returns (n compacted, summary text, error); n==0 means nothing to compact.
func (s *History) compact(ctx context.Context, b backend.Backend) (int, string, error) {
if len(s.messages) <= hotTailSize+warmIndexSize {
return 0, "", nil
}
// Flatten tool calls into plain text so the compaction request
// doesn't need tool schemas.
flattened := flattenToolMessages(s.messages)
flattened = append(flattened, backend.Message{
Role: "user",
Content: compactionPrompt,
})
ch, err := b.ChatStream(ctx, flattened, nil, backend.GenerationParams{})
if err != nil {
return 0, "", fmt.Errorf("compact: %w", err)
}
var summary strings.Builder
for ev := range ch {
if ev.Content != "" {
summary.WriteString(ev.Content)
}
if ev.Done {
break
}
}
summaryText := strings.TrimSpace(summary.String())
if summaryText == "" {
return 0, "", fmt.Errorf("compact: empty summary")
}
// Parse structured task state from the model's JSON response.
var ts TaskState
raw := extractJSON(summaryText)
if err := json.Unmarshal([]byte(raw), &ts); err != nil {
// Fallback: treat as unstructured summary if JSON parse fails.
ts = TaskState{Objective: summaryText}
}
s.TaskState = &ts
beforeCount := len(s.messages)
s.messages = buildCompactedHistory(ts, s.messages)
return beforeCount - len(s.messages), summaryText, nil
}
// buildCompactedHistory constructs a three-zone post-compaction message list:
// - Cold: structured task state summary (everything older than warm+hot)
// - Warm: brief index of recent decisions/actions (warmIndexSize messages)
// - Hot: last hotTailSize messages verbatim
func buildCompactedHistory(ts TaskState, allMessages []backend.Message) []backend.Message {
total := len(allMessages)
// Determine zone boundaries.
hotStart := total - hotTailSize
if hotStart < 0 {
hotStart = 0
}
// If hotStart lands on a tool message, walk backward to include the
// preceding assistant message with tool_calls. Without this, the hot
// zone starts with an orphaned tool result which violates the OpenAI
// API constraint that tool messages must follow an assistant message
// containing the corresponding tool_calls.
for hotStart > 0 && allMessages[hotStart].Role == "tool" {
hotStart--
}
warmStart := hotStart - warmIndexSize
if warmStart < 0 {
warmStart = 0
}
// Cold zone: structured task state.
stateJSON, _ := json.Marshal(ts)
cold := backend.Message{
Role: "user",
Content: "[compacted context — cold zone]\n```json\n" + string(stateJSON) + "\n```",
}
var out []backend.Message
out = append(out, cold)
// Warm zone: one-line summaries of decisions in the warm window.
warmSlice := allMessages[warmStart:hotStart]
if len(warmSlice) > 0 {
var sb strings.Builder
sb.WriteString("[warm zone — recent decisions]\n")
for _, m := range warmSlice {
line := summarizeMessage(m)
if line != "" {
sb.WriteString("- ")
sb.WriteString(line)
sb.WriteByte('\n')
}
}
out = append(out, backend.Message{Role: "user", Content: sb.String()})
}
// Hot zone: verbatim recent messages.
out = append(out, allMessages[hotStart:]...)
return out
}
// summarizeMessage produces a one-line summary of a message for the warm index.
func summarizeMessage(m backend.Message) string {
switch m.Role {
case "assistant":
if len(m.ToolCalls) > 0 {
names := make([]string, len(m.ToolCalls))
for i, tc := range m.ToolCalls {
names[i] = tc.Name
}
return "called: " + strings.Join(names, ", ")
}
text := m.Content
if len(text) > 120 {
text = text[:120] + "…"
}
return "said: " + text
case "user":
text := m.Content
if len(text) > 120 {
text = text[:120] + "…"
}
return "user: " + text
case "tool":
text := m.Content
if len(text) > 80 {
text = text[:80] + "…"
}
return "result(" + m.ToolCallID + "): " + text
}
return ""
}
// extractJSON finds the first JSON object in s (handling markdown fences).
func extractJSON(s string) string {
// Strip markdown code fence if present.
if i := strings.Index(s, "```json"); i >= 0 {
s = s[i+7:]
if j := strings.Index(s, "```"); j >= 0 {
s = s[:j]
}
} else if i := strings.Index(s, "```"); i >= 0 {
s = s[i+3:]
if j := strings.Index(s, "```"); j >= 0 {
s = s[:j]
}
}
// Find first { ... }
start := strings.Index(s, "{")
if start < 0 {
return s
}
end := strings.LastIndex(s, "}")
if end < start {
return s
}
return s[start : end+1]
}
// flattenToolMessages converts tool call/result sequences into plain text
// so the compaction request doesn't include tool-specific structures that
// the API may reject when no tools are defined.
func flattenToolMessages(messages []backend.Message) []backend.Message {
out := make([]backend.Message, 0, len(messages))
for _, m := range messages {
switch {
case m.Role == "assistant" && len(m.ToolCalls) > 0:
var sb strings.Builder
if m.Content != "" {
sb.WriteString(m.Content)
sb.WriteString("\n\n")
}
for _, tc := range m.ToolCalls {
fmt.Fprintf(&sb, "[Tool call: %s(%s)]\n", tc.Name, string(tc.Arguments))
}
out = append(out, backend.Message{Role: "assistant", Content: sb.String()})
case m.Role == "tool":
text := m.Content
if len(text) > 4000 {
text = text[:4000] + "..."
}
out = append(out, backend.Message{
Role: "user",
Content: fmt.Sprintf("[Tool result for %s]:\n%s", m.ToolCallID, text),
})
default:
out = append(out, m)
}
}
return out
}
func (s *History) appendUserMessage(content string) {
s.messages = append(s.messages, backend.Message{Role: "user", Content: content})
}
// cloneMessages returns a deep copy of the message slice.
func cloneMessages(msgs []backend.Message) []backend.Message {
out := make([]backend.Message, len(msgs))
for i, m := range msgs {
out[i] = backend.Message{
Role: m.Role,
Content: m.Content,
ToolCallID: m.ToolCallID,
}
if len(m.ToolCalls) > 0 {
out[i].ToolCalls = make([]backend.ToolCall, len(m.ToolCalls))
for j, tc := range m.ToolCalls {
out[i].ToolCalls[j] = backend.ToolCall{
ID: tc.ID,
Name: tc.Name,
Arguments: append(json.RawMessage(nil), tc.Arguments...),
}
}
}
}
return out
}
// estimateTokens returns a rough token count (~4 chars per token).
func (s *History) estimateTokens() int {
chars := 0
for _, m := range s.messages {
chars += len(m.Content)
for _, tc := range m.ToolCalls {
chars += len(tc.Name) + len(tc.Arguments)
}
}
return chars / 4
}
// stripColdResults summarizes large tool-result messages outside the hot tail
// using an LLM call. Messages in the last hotTailSize slots are left verbatim.
func (s *History) stripColdResults(ctx context.Context, b backend.Backend) {
hot := len(s.messages) - hotTailSize
for i := range s.messages {
if i >= hot {
break
}
m := &s.messages[i]
if m.Role == "tool" && len(m.Content) > 200 {
m.Content = llmSummarizeToolResult(ctx, b, m.ToolCallID, m.Content)
}
}
}
// stripCold implements the state interface.
func (s *History) stripCold(ctx context.Context, b backend.Backend) {
s.stripColdResults(ctx, b)
}
// contextDebug returns a multi-line breakdown of the history.
func (s *History) contextDebug() string {
var sb strings.Builder
sb.WriteString(fmt.Sprintf("=== %d messages ===\n", len(s.messages)))
for i, m := range s.messages {
preview := m.Content
if len(preview) > 80 {
preview = preview[:80] + "..."
}
chars := len(m.Content)
for _, tc := range m.ToolCalls {
chars += len(tc.Name) + len(tc.Arguments)
}
sb.WriteString(fmt.Sprintf(" [%d] role=%-10s chars=%-6d %q\n", i, m.Role, chars, preview))
}
return sb.String()
// DetachedInfo describes a detached process for external consumers.
type DetachedInfo struct {
PID int
Command string
Started int64 // unix timestamp
Exited bool
ExitCode int
}

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@ -1,187 +0,0 @@
package session
import (
"context"
"errors"
"github.com/simonfxr/pubsub"
"ollie/backend"
)
// WatchField names supported by Core.WaitChange.
const (
WatchState = "state"
WatchUsage = "usage"
WatchCtxSz = "ctxsz"
WatchCWD = "cwd"
WatchAgent = "agent"
)
// ErrInterrupted is returned when the user cancels an agent turn (Ctrl-C).
var ErrInterrupted = errors.New("interrupted")
// Event is a typed output event emitted during an agent turn or in response
// to a command.
type Event struct {
Role string
Name string
Content string
ResponseID string
}
// EventHandler receives events from the agent.
type EventHandler func(Event)
// Core is the interface between a frontend (TUI, HTTP handler, etc.) and the
// agent engine. All output from the agent is delivered via the event bus.
type Core interface {
// Submit processes one line of user input. Slash commands and shell
// shortcuts are dispatched synchronously; any other input starts an agent
// turn that publishes events to the bus until the turn is complete.
// After the turn, any queued prompts are drained sequentially.
Submit(ctx context.Context, input string)
// Interrupt cancels the current in-progress agent turn.
// Returns true if an action was running and was cancelled.
Interrupt(cause error) bool
// Inject sends a message that will be appended to the next tool result
// as a user interruption. If no turn is running, it is silently dropped.
Inject(prompt string)
// Queue pushes a prompt onto the FIFO for execution after the current
// turn completes.
Queue(prompt string)
// Bus returns the session event bus.
Bus() *pubsub.Bus
// PopQueue removes and returns the next queued prompt.
// Returns ("", false) if the queue is empty.
PopQueue() (string, bool)
// IsRunning returns true if an agent turn is currently in progress.
IsRunning() bool
// State returns the current agent state: "idle", "thinking", or "calling: <tool>".
State() string
// Reply returns the assistant text from the most recently completed turn.
// Cleared when a new prompt is submitted.
Reply() string
// AgentName returns the name of the active agent.
AgentName() string
// BackendName returns the name of the active backend (e.g. "anthropic", "ollama").
BackendName() string
// ModelName returns the name of the active model.
ModelName() string
// CtxSz returns the estimated context size as a one-line summary.
CtxSz() string
// Usage returns billed token counts as a one-line summary.
Usage() string
// Cost returns per-turn and session cost as a two-line key=value summary.
Cost() string
// ListModels returns available model names, one per line.
ListModels() string
// CWD returns the current working directory used for tool execution.
CWD() string
// SetCWD changes the working directory for tool execution and
// updates the system prompt. Returns an error if the path does not exist.
SetCWD(dir string) error
// SetSessionID renames the session: updates the in-memory ID, renames
// persisted files on disk, and propagates to the execute server env.
SetSessionID(newID string) error
// Context returns the current message history as it would be sent to the
// backend: system prompt prepended, stale reads pruned. Does not include
// tool definitions (see Tools) or generation params (see GenerationParams).
Context() []backend.Message
// SystemPrompt returns the fully rendered system prompt for this session.
SystemPrompt() string
// GenerationParams returns the current sampling parameters.
GenerationParams() backend.GenerationParams
// SetGenerationParams replaces the current sampling parameters.
// Returns an error if the agent is currently running.
SetGenerationParams(params backend.GenerationParams) error
// CompactionModel returns the model override used for context compaction.
CompactionModel() string
// SetCompactionModel changes the model used for context compaction.
SetCompactionModel(model string)
// SetEnv injects a session-scoped environment variable into the shell
// subprocesses. Does not affect the daemon process environment.
SetEnv(key, value string)
// WaitChange blocks until the named field changes from current, then returns
// the new value. Returns ("", false) if ctx is cancelled before a change.
// Supported fields: WatchState, WatchUsage, WatchCtxSz, WatchCWD.
WaitChange(ctx context.Context, field, current string) (string, bool)
// ToolCallCount returns the total number of tool calls executed in this
// session since the agent was created. The counter is monotonically
// increasing and never resets. Blocked calls (pre-tool hook exit 2) are
// not counted. Timed-out or erroring calls are counted because execution
// was attempted. Use modulo arithmetic in hooks to fire every N calls:
// [ $(($(cat tcct) % 10)) -eq 0 ] && ...
ToolCallCount() int64
// SaveSession writes the current session state to the given path.
// The file includes all messages, agent/backend/model metadata, and task state.
SaveSession(path string) error
// Close releases resources associated with the session, including its
// temporary directory under /tmp/ollie/.
Close()
// Detach detaches the currently running process from the agent.
// The process continues running; returns false if nothing is executing.
Detach() bool
// ListDetached returns info about all detached processes.
ListDetached() []DetachedInfo
// SignalDetached sends a signal to a detached process by PID.
SignalDetached(pid, signal int) error
// GetDetachedOutput returns the ring buffer output for a detached process.
GetDetachedOutput(pid int) (string, error)
// DismissDetached removes an exited process from the list.
DismissDetached(pid int) bool
// InjectSystemEvent appends a system-originated message to the session
// context and emits it on the event bus. The agent sees it on its next
// turn; it appears in the chat log immediately.
InjectSystemEvent(content string)
// React records an emoji reaction to the most recent assistant response.
React(emoji string)
// ReactTo records an emoji reaction to a specific assistant response.
ReactTo(responseID, emoji string) error
// Reactions returns the current response ID to emoji mapping.
Reactions() map[string]string
}
// DetachedInfo describes a detached process for external consumers.
type DetachedInfo struct {
PID int
Command string
Started int64 // unix timestamp
Exited bool
ExitCode int
}