v0.3.9 966d045

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		Messages: []provider.Message{
55			{
56				Role:    provider.RoleUser,
57				Content: []provider.Content{provider.TextBlock{Text: prompt}},
58				Time:    time.Now(),
59			},
60		},
61	}
62
63	stream, err := a.Client.Stream(ctx, req)
64	if err != nil {
65		return "", err
66	}
67
68	var sb strings.Builder
69	for ev := range stream {
70		switch e := ev.(type) {
71		case provider.EventTextDelta:
72			sb.WriteString(e.Delta)
73			if sink != nil {
74				sink(e.Delta)
75			}
76		case provider.EventDone:
77			if e.Err != nil {
78				return "", e.Err
79			}
80		}
81	}
82	summary = strings.TrimSpace(sb.String())
83	if summary == "" {
84		return "", fmt.Errorf("empty summary from model")
85	}
86
87	// Estimate token count before compaction (rough: 1 token ~ 4 chars).
88	tokensBefore := len(transcript) / 4
89
90	// Replace transcript: one synthetic user message with the summary,
91	// followed by the preserved tail (if any).
92	var activatedTools []string
93	for _, message := range msgs {
94		for _, name := range message.AddedToolNames {
95			if !containsString(activatedTools, name) {
96				activatedTools = append(activatedTools, name)
97			}
98		}
99	}
100	synthetic := provider.Message{
101		Role:           provider.RoleUser,
102		AddedToolNames: activatedTools,
103		Content: []provider.Content{
104			provider.TextBlock{Text: "## Context Summary (compacted)\n\n" + summary},
105		},
106		Time: time.Now(),
107		Meta: map[string]string{
108			"compaction":    "true",
109			"tokens_before": strconv.Itoa(tokensBefore),
110		},
111	}
112
113	tail := msgs[len(msgs)-keepTail:]
114	// Repair the tail: remove orphaned tool_result blocks whose
115	// matching tool_use was in the compacted (now-removed) portion.
116	// Anthropic rejects transcripts where a tool_result references
117	// a tool_use ID that doesn't exist.
118	tail = repairOrphanedToolResults(tail)
119
120	next := make([]provider.Message, 0, 1+len(tail))
121	next = append(next, synthetic)
122	next = append(next, tail...)
123
124	a.mu.Lock()
125	a.messages = next
126	a.rev++
127	onCompacted := a.OnTranscriptCompacted
128	persisted := append([]provider.Message(nil), next...)
129	a.mu.Unlock()
130
131	if onCompacted != nil {
132		onCompacted(persisted)
133	}
134
135	return summary, nil
136}
137
138// repairOrphanedToolResults removes tool_result content blocks (and
139// entire messages that become empty) when the matching tool_use ID
140// does not appear anywhere in the given messages. This happens after
141// compaction when the tail preserves a tool_result but the tool_use
142// that produced it was summarized away.
143func repairOrphanedToolResults(msgs []provider.Message) []provider.Message {
144	return provider.RepairOrphanedToolResults(msgs)
145}
146
147// serializeTranscript renders a list of provider.Message into a plain
148// text transcript the summarization model can read without trying to
149// continue the conversation.
150func serializeTranscript(msgs []provider.Message) string {
151	var sb strings.Builder
152	for _, m := range msgs {
153		switch m.Role {
154		case provider.RoleUser:
155			sb.WriteString("\n--- user ---\n")
156		case provider.RoleAssistant:
157			sb.WriteString("\n--- assistant ---\n")
158		case provider.RoleTool:
159			sb.WriteString("\n--- tool ---\n")
160		}
161		for _, c := range m.Content {
162			switch v := c.(type) {
163			case provider.TextBlock:
164				sb.WriteString(v.Text)
165				sb.WriteString("\n")
166			case provider.ImageBlock:
167				fmt.Fprintf(&sb, "[image: %s, %d bytes]\n", v.MimeType, len(v.Data))
168			case provider.ToolCallBlock:
169				fmt.Fprintf(&sb, "[tool_call %s %s]\n", v.Name, string(v.Arguments))
170			case provider.ToolResultBlock:
171				for _, inner := range v.Content {
172					if tb, ok := inner.(provider.TextBlock); ok {
173						sb.WriteString("[tool_result] ")
174						sb.WriteString(tb.Text)
175						sb.WriteString("\n")
176					}
177				}
178			}
179		}
180	}
181	return sb.String()
182}
183
184const 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.
185
186Do NOT continue the conversation. Do NOT respond to any questions in the conversation. ONLY output the structured summary.`
187
188const compactionPrompt = `The messages above are a conversation to summarize. Create a structured context checkpoint summary that another LLM will use to continue the work.
189
190Use this EXACT format:
191
192## Goal
193[What is the user trying to accomplish? Can be multiple items if the session covers different tasks.]
194
195## Constraints & Preferences
196- [Any constraints, preferences, or requirements mentioned by user]
197- [Or "(none)" if none were mentioned]
198
199## Progress
200### Done
201- [x] [Completed tasks/changes]
202
203### In Progress
204- [ ] [Current work]
205
206### Blocked
207- [Issues preventing progress, if any]
208
209## Key Decisions
210- **[Decision]**: [Brief rationale]
211
212## Next Steps
2131. [Ordered list of what should happen next]
214
215## Critical Context
216- [Any data, examples, or references needed to continue]
217- [Or "(none)" if not applicable]
218
219Keep each section concise. Preserve exact file paths, function names, and error messages.`

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