v0.3.65 9ef467d

compact.go RawHistoryFolder

1package core
2
3import (
4	"context"
5	"fmt"
6	"strconv"
7	"strings"
8	"time"
9
10	"github.com/patriceckhart/zot/packages/provider"
11)
12
13// Compact summarizes the agent's transcript via the LLM and replaces
14// it with a single synthetic user message carrying the summary. A
15// small tail of recent messages is optionally preserved for continuity.
16//
17// keepTail is the number of most-recent messages to keep verbatim after
18// the summary. 0 means summarize everything; a typical useful value is
19// 4-8 (last couple of exchanges).
20//
21// The method blocks until the summary request completes. Emitted
22// events via sink are limited to text deltas from the summary call so
23// the UI can show progress.
24func (a *Agent) Compact(ctx context.Context, keepTail int, sink func(delta string)) (summary string, err error) {
25	a.mu.Lock()
26	msgs := append([]provider.Message(nil), a.messages...)
27	a.mu.Unlock()
28
29	if len(msgs) == 0 {
30		return "", fmt.Errorf("nothing to compact")
31	}
32	if keepTail < 0 {
33		keepTail = 0
34	}
35	if keepTail > len(msgs) {
36		keepTail = len(msgs)
37	}
38	summarizable := msgs[:len(msgs)-keepTail]
39	if len(summarizable) == 0 {
40		return "", fmt.Errorf("nothing to compact: keep-tail covers the whole transcript")
41	}
42
43	// Serialize the summarizable transcript to text and wrap it in tags
44	// so the model treats it as material to summarize, not to continue.
45	transcript := serializeTranscript(summarizable)
46
47	prompt := "<conversation>\n" + transcript + "\n</conversation>\n\n" + compactionPrompt
48
49	req := provider.Request{
50		Model:       a.Model,
51		System:      summarizationSystem,
52		MaxTokens:   4096,
53		Temperature: a.Temperature,
54		SessionID:   a.SessionID,
55		Messages: []provider.Message{
56			{
57				Role:    provider.RoleUser,
58				Content: []provider.Content{provider.TextBlock{Text: prompt}},
59				Time:    time.Now(),
60			},
61		},
62	}
63
64	stream, err := a.Client.Stream(ctx, req)
65	if err != nil {
66		return "", err
67	}
68
69	var sb strings.Builder
70	for ev := range stream {
71		switch e := ev.(type) {
72		case provider.EventTextDelta:
73			sb.WriteString(e.Delta)
74			if sink != nil {
75				sink(e.Delta)
76			}
77		case provider.EventDone:
78			if e.Err != nil {
79				return "", e.Err
80			}
81		}
82	}
83	summary = strings.TrimSpace(sb.String())
84	if summary == "" {
85		return "", fmt.Errorf("empty summary from model")
86	}
87
88	// Estimate token count before compaction (rough: 1 token ~ 4 chars).
89	tokensBefore := len(transcript) / 4
90
91	// Replace transcript: one synthetic user message with the summary,
92	// followed by the preserved tail (if any).
93	var activatedTools []string
94	for _, message := range msgs {
95		for _, name := range message.AddedToolNames {
96			if !containsString(activatedTools, name) {
97				activatedTools = append(activatedTools, name)
98			}
99		}
100	}
101	synthetic := provider.Message{
102		Role:           provider.RoleUser,
103		AddedToolNames: activatedTools,
104		Content: []provider.Content{
105			provider.TextBlock{Text: "## Context Summary (compacted)\n\n" + summary},
106		},
107		Time: time.Now(),
108		Meta: map[string]string{
109			"compaction":    "true",
110			"tokens_before": strconv.Itoa(tokensBefore),
111		},
112	}
113
114	tail := msgs[len(msgs)-keepTail:]
115	// Repair the tail: remove orphaned tool_result blocks whose
116	// matching tool_use was in the compacted (now-removed) portion.
117	// Anthropic rejects transcripts where a tool_result references
118	// a tool_use ID that doesn't exist.
119	tail = repairOrphanedToolResults(tail)
120
121	next := make([]provider.Message, 0, 1+len(tail))
122	next = append(next, synthetic)
123	next = append(next, tail...)
124
125	a.mu.Lock()
126	a.messages = next
127	a.rev++
128	onCompacted := a.OnTranscriptCompacted
129	persisted := append([]provider.Message(nil), next...)
130	a.mu.Unlock()
131
132	if onCompacted != nil {
133		onCompacted(persisted)
134	}
135
136	return summary, nil
137}
138
139// repairOrphanedToolResults removes tool_result content blocks (and
140// entire messages that become empty) when the matching tool_use ID
141// does not appear anywhere in the given messages. This happens after
142// compaction when the tail preserves a tool_result but the tool_use
143// that produced it was summarized away.
144func repairOrphanedToolResults(msgs []provider.Message) []provider.Message {
145	return provider.RepairOrphanedToolResults(msgs)
146}
147
148// serializeTranscript renders a list of provider.Message into a plain
149// text transcript the summarization model can read without trying to
150// continue the conversation.
151func serializeTranscript(msgs []provider.Message) string {
152	var sb strings.Builder
153	for _, m := range msgs {
154		switch m.Role {
155		case provider.RoleUser:
156			sb.WriteString("\n--- user ---\n")
157		case provider.RoleAssistant:
158			sb.WriteString("\n--- assistant ---\n")
159		case provider.RoleTool:
160			sb.WriteString("\n--- tool ---\n")
161		}
162		for _, c := range m.Content {
163			switch v := c.(type) {
164			case provider.TextBlock:
165				sb.WriteString(v.Text)
166				sb.WriteString("\n")
167			case provider.ImageBlock:
168				fmt.Fprintf(&sb, "[image: %s, %d bytes]\n", v.MimeType, len(v.Data))
169			case provider.ToolCallBlock:
170				fmt.Fprintf(&sb, "[tool_call %s %s]\n", v.Name, string(v.Arguments))
171			case provider.ToolResultBlock:
172				for _, inner := range v.Content {
173					if tb, ok := inner.(provider.TextBlock); ok {
174						sb.WriteString("[tool_result] ")
175						sb.WriteString(tb.Text)
176						sb.WriteString("\n")
177					}
178				}
179			}
180		}
181	}
182	return sb.String()
183}
184
185const summarizationSystem = `You are a context summarization assistant. Your task is to read a conversation between a user and an AI coding assistant, then produce a structured summary following the exact format specified.
186
187Do NOT continue the conversation. Do NOT respond to any questions in the conversation. ONLY output the structured summary.`
188
189const compactionPrompt = `The messages above are a conversation to summarize. Create a structured context checkpoint summary that another LLM will use to continue the work.
190
191Use this EXACT format:
192
193## Goal
194[What is the user trying to accomplish? Can be multiple items if the session covers different tasks.]
195
196## Constraints & Preferences
197- [Any constraints, preferences, or requirements mentioned by user]
198- [Or "(none)" if none were mentioned]
199
200## Progress
201### Done
202- [x] [Completed tasks/changes]
203
204### In Progress
205- [ ] [Current work]
206
207### Blocked
208- [Issues preventing progress, if any]
209
210## Key Decisions
211- **[Decision]**: [Brief rationale]
212
213## Next Steps
2141. [Ordered list of what should happen next]
215
216## Critical Context
217- [Any data, examples, or references needed to continue]
218- [Or "(none)" if not applicable]
219
220Keep each section concise. Preserve exact file paths, function names, and error messages.`

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