ollie-core/pkg/agent/session.go

package agent

import (
	"context"
	"encoding/json"
	"fmt"
	"os"
	"slices"
	"strings"

	"ollie/pkg/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.`

	compactionSummaryPrefix = `Context was compacted. Here is the structured task state from the prior context, followed by the most recent messages for evidential context:`

	// recentTailSize is the number of messages to preserve after compaction.
	recentTailSize = 6
)

// PersistedSession is the on-disk format for a saved session.
type PersistedSession struct {
	ID        string            `json:"id"`
	Agent     string            `json:"agent,omitempty"`
	Messages  []backend.Message `json:"messages"`
	TaskState *TaskState        `json:"taskState,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 *Session) saveTo(path, id, agentName string) error {
	ps := PersistedSession{
		ID:        id,
		Agent:     agentName,
		Messages:  s.messages,
		TaskState: s.TaskState,
	}
	data, err := json.Marshal(ps)
	if err != nil {
		return fmt.Errorf("session save: %w", err)
	}
	return os.WriteFile(path, data, 0600)
}

// RestoreSession reconstructs a Session from a persisted message list.
func RestoreSession(messages []backend.Message) *Session {
	s := &Session{messages: messages}
	for _, m := range messages {
		if m.Role == "user" {
			s.goal = m.Content
			break
		}
	}
	return s
}

// Session is an ephemeral in-memory state backend.
type Session 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)
}

// newSession creates a new empty Session. The caller is responsible for
// appending the initial user message via appendUserMessage.
func newSession(goal string) *Session {
	return &Session{goal: goal}
}

func (s *Session) history() []backend.Message {
	return s.messages
}

func (s *Session) recentHistory(n int) []backend.Message {
	if n >= len(s.messages) {
		return s.messages
	}
	return s.messages[len(s.messages)-n:]
}

func (s *Session) taskState() *TaskState {
	return s.TaskState
}

func (s *Session) updateTaskState(ts TaskState) {
	s.TaskState = &ts
}

func (s *Session) 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 *Session) 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 *Session) 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 *Session) 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,
			ToolCallID: r.ToolCallID,
		})
	}
}

// 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 *Session) 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 *Session) 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 *Session) compact(ctx context.Context, b backend.Backend) (int, string, error) {
	if len(s.messages) <= 4 {
		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

	// Keep the last N messages as evidential context.
	tail := s.messages
	if len(tail) > recentTailSize {
		tail = tail[len(tail)-recentTailSize:]
	}

	beforeCount := len(s.messages)
	s.messages = buildCompactedHistory(ts, tail)
	return beforeCount - len(s.messages), summaryText, nil
}

// buildCompactedHistory constructs the post-compaction message list:
// a structured task state header followed by recent messages as evidence.
func buildCompactedHistory(ts TaskState, recentMessages []backend.Message) []backend.Message {
	stateJSON, _ := json.Marshal(ts)
	header := backend.Message{
		Role:    "user",
		Content: compactionSummaryPrefix + "\n```json\n" + string(stateJSON) + "\n```",
	}
	return append([]backend.Message{header}, recentMessages...)
}

// 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 *Session) 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 *Session) 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
}

// contextDebug returns a multi-line breakdown of the history.
func (s *Session) 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()
}