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64c242d 98f89da 64c242d 98f89da 64c242d 98f89da 64c242d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 | import { useCallback, useMemo, useState } from 'react';
import {
buildMessages,
composeSystem,
DEFAULT_MODEL_TEXT,
fromJSONL,
modelLabel,
parseModel,
parsePersona,
readHistoryRecord,
readMemoryNote,
deliveryLine,
sha256Hex,
type HistoryRecord,
type MemoryNote,
type ModelSpec,
type PersonaDoc,
type PromptSource,
type SendContext,
} from '../core/context';
import { loadJSON, saveJSON } from '../core/storage';
import type { ContextKind } from '../core/windows';
const MAX_HISTORY = 2000;
const MAX_MEMORY = 500;
export interface ContextApi {
/** .history, oldest first. Stored as exact JSONL lines so imported files keep their commitment. */
history: HistoryRecord[];
historyLines: string[];
appendHistory(record: HistoryRecord): void;
clearHistory(): void;
/** .memory, oldest first. */
memory: MemoryNote[];
memoryLines: string[];
remember(text: string, kind?: 'typed' | 'response'): Promise<void>;
/** Keep how an answer was delivered: one .memory line, never sent to the model (see deliveryLine). */
keep(record: Record<string, unknown>, text: string): Promise<void>;
forget(index: number): void;
clearMemory(): void;
/** .prompt: the system prompt text. */
prompt: string;
setPrompt(text: string): void;
/** Which system prompt to use when the persona also has one. */
promptSource: PromptSource;
setPromptSource(source: PromptSource): void;
/** .persona: the file text and its parsed form (null when empty). */
personaText: string;
persona: PersonaDoc | null;
/** Set the persona from text; throws with a reason when it is not a valid .persona. Empty clears it. */
setPersonaText(text: string): void;
/** .model: the YAML text and its parsed form. */
modelText: string;
model: ModelSpec;
modelError: string | null;
setModelText(text: string): void;
/** The context sent with a chat message into `outputId`. */
forSend(text: string, outputId: string): SendContext;
/** The file text for a context, as it would be exported. */
fileText(kind: ContextKind): string;
/** Read an imported file. History and memory are appended; the rest are replaced. Returns a summary. */
importText(kind: ContextKind, text: string): string;
}
function linesFrom(text: string): string[] {
return text.split(/\r?\n/).filter(l => l.trim());
}
/** State for the five context files, saved per storageKey. */
export function useContextStore(storageKey: string): ContextApi {
const k = (name: string) => `uif:${storageKey}:${name}`;
const [historyLines, setHistoryLines] = useState<string[]>(() => loadJSON(k('history'), []));
const [memoryLines, setMemoryLines] = useState<string[]>(() => loadJSON(k('memory'), []));
const [prompt, setPromptState] = useState<string>(() => loadJSON(k('prompt'), ''));
const [promptSource, setPromptSourceState] = useState<PromptSource>(() => loadJSON(k('promptSource'), 'persona'));
const [personaText, setPersonaTextState] = useState<string>(() => loadJSON(k('persona'), ''));
const [modelText, setModelTextState] = useState<string>(() => loadJSON(k('model'), DEFAULT_MODEL_TEXT));
const persist = useCallback(
<T,>(name: string, setter: (v: T) => void) =>
(v: T) => {
setter(v);
saveJSON(`uif:${storageKey}:${name}`, v);
},
[storageKey],
);
const history = useMemo(() => {
try {
return fromJSONL(historyLines.join('\n'), '.history', readHistoryRecord);
} catch {
return [];
}
}, [historyLines]);
const memory = useMemo(() => {
try {
return fromJSONL(memoryLines.join('\n'), '.memory', readMemoryNote);
} catch {
return [];
}
}, [memoryLines]);
const persona = useMemo(() => {
if (!personaText.trim()) return null;
try {
return parsePersona(personaText);
} catch {
return null;
}
}, [personaText]);
const { model, modelError } = useMemo(() => {
try {
return { model: parseModel(modelText), modelError: null };
} catch (err) {
return { model: {}, modelError: (err as Error).message };
}
}, [modelText]);
return useMemo<ContextApi>(() => {
const saveHistory = persist<string[]>('history', setHistoryLines);
const saveMemory = persist<string[]>('memory', setMemoryLines);
const setPrompt = persist<string>('prompt', setPromptState);
const setPromptSource = persist<PromptSource>('promptSource', setPromptSourceState);
const savePersona = persist<string>('persona', setPersonaTextState);
const setModelText = persist<string>('model', setModelTextState);
const addHistory = (lines: string[]) =>
setHistoryLines(prev => {
const next = [...prev, ...lines].slice(-MAX_HISTORY);
saveJSON(k('history'), next);
return next;
});
const addMemory = (lines: string[]) =>
setMemoryLines(prev => {
const next = [...prev, ...lines].slice(-MAX_MEMORY);
saveJSON(k('memory'), next);
return next;
});
return {
history,
historyLines,
appendHistory: record => addHistory([JSON.stringify(record)]),
clearHistory: () => saveHistory([]),
memory,
memoryLines,
async remember(text, kind = 'typed') {
const clean = text.trim();
if (!clean) return;
const ts = Date.now() / 1000;
const note: MemoryNote = { ts, at: new Date(ts * 1000).toISOString(), text: clean, sha256: await sha256Hex(clean), source: { kind } };
addMemory([JSON.stringify(note)]);
},
async keep(record, text) {
addMemory([await deliveryLine(record, text)]);
},
clearMemory: () => saveMemory([]),
forget(index) {
setMemoryLines(prev => {
const next = prev.filter((_, i) => i !== index);
saveJSON(k('memory'), next);
return next;
});
},
prompt,
setPrompt,
promptSource,
setPromptSource,
personaText,
persona,
setPersonaText(text) {
if (text.trim()) parsePersona(text);
savePersona(text);
},
modelText,
model,
modelError,
setModelText,
forSend(text, outputId) {
const { system, promptSource: from } = composeSystem({ prompt, persona, source: promptSource, memory });
// Each output is its own thread: the recent exchanges in that output.
const thread = history.filter(h => h.output_id === outputId);
const recent = thread.slice(-12);
return {
system,
messages: buildMessages(system, recent, text),
promptSource: from,
prompt,
persona,
memory,
model,
modelText,
history: recent,
};
},
fileText(kind) {
switch (kind) {
case 'history':
return historyLines.length ? historyLines.join('\n') + '\n' : '';
case 'memory':
return memoryLines.length ? memoryLines.join('\n') + '\n' : '';
case 'prompt':
return prompt;
case 'persona':
return personaText;
case 'model':
return modelText;
}
},
importText(kind, text) {
switch (kind) {
case 'history': {
const recs = fromJSONL(text, '.history', readHistoryRecord);
addHistory(linesFrom(text));
return `added ${recs.length} exchange(s)`;
}
case 'memory': {
const notes = fromJSONL(text, '.memory', readMemoryNote);
addMemory(linesFrom(text));
return `added ${notes.length} note(s)`;
}
case 'prompt':
setPrompt(text);
return 'prompt replaced';
case 'persona': {
const p = parsePersona(text);
savePersona(text);
return `persona set to ${p.name ?? p.persona ?? 'unnamed'}`;
}
case 'model': {
const m = parseModel(text);
setModelText(text);
return `model set to ${modelLabel(m)}`;
}
}
},
};
// k is derived from storageKey, which persist already depends on.
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [history, historyLines, memory, memoryLines, prompt, promptSource, personaText, persona, modelText, model, modelError, persist]);
}
|