Files
openchamber/packages/web/server/lib/small-model/index.js
T
Bohdan Triapitsyn 1d17cb87b3 feat(walkthrough): write walkthroughs in the reader's language
A guided explanation is only useful in a language the reader reads, so the
panel header gets a language picker alongside the model one, defaulting to
the interface language. Like the model, it is request state rather than a
setting: the language travels with the read and the generation, and the one
a walkthrough was written in is stored with it, so reopening a review
describes what is there instead of what a fresh one would be.

Only prose is translated. Hunk aliases resolve back to hunk ids and
icon/importance are validated against fixed English values, so a translated
one would be dropped by the normalizer — silently losing an anchor or a
style. Identifiers and paths stay as they appear in the code.

The language is part of the cache key, and a read now asks the cache for the
exact request it was given before falling back to the pointer. Without that
the panel answered a request to switch languages with the text it already
had, leaving the other language unused in the cache.

Alongside it:

- The answer budget is derived from the resolved model instead of a flat 24k.
  That number was the same for a 64k-context model and for one that admits to
  384k output tokens, and on the latter it was the only reason generation
  failed: the model spent the whole allowance reasoning and returned nothing.
  It is now min(96k, max(24k, a quarter of the context)) capped by the
  catalog's output limit, decided once so the input reserve and the request
  cannot drift apart.
- A read no longer offers Cancel. It is a few hundred milliseconds of git with
  nothing to cancel, and the button flickered on every model or language
  change. When the panel is showing a fallback, a banner names what is on
  screen versus what was asked for — only once the read has settled.
- The header keeps one 32px control height and drops its labels below 680px
  instead of squeezing them to two letters and an ellipsis.

Docs and module documentation updated in every locale.
2026-08-03 01:27:27 +03:00

267 lines
10 KiB
JavaScript

import fs from 'fs';
import os from 'os';
import path from 'path';
import { readAuthFile } from '../opencode/auth.js';
import { readConfigLayers } from '../opencode/shared.js';
import { getModelCatalog } from './catalog.js';
import { resolveSmallModel, parseModelRef, isUsableAuthEntry, getAuthEntryForProvider } from './resolve.js';
import { callSmallModel } from './call.js';
const OPENCHAMBER_SETTINGS_FILE = path.join(
process.env.OPENCHAMBER_DATA_DIR
? path.resolve(process.env.OPENCHAMBER_DATA_DIR)
: path.join(os.homedir(), '.config', 'openchamber'),
'settings.json',
);
// OpenChamber's own settings: when the user unchecks "use default small model"
// their explicit override outranks every other resolution step.
const readSmallModelSettingsOverride = () => {
try {
const raw = fs.readFileSync(OPENCHAMBER_SETTINGS_FILE, 'utf8');
const settings = JSON.parse(raw);
if (!settings || typeof settings !== 'object') return null;
if (settings.smallModelUseDefault !== false) return null;
const override = typeof settings.smallModelOverride === 'string' ? settings.smallModelOverride.trim() : '';
return override || null;
} catch {
return null;
}
};
// Rough safety clamp so a huge input never blows the model's context window.
// Token estimate is ~4 chars/token; when the catalog has no limit for the
// model (Copilot/codex utility models are not listed) a conservative default
// applies.
const DEFAULT_CONTEXT_TOKENS = 64_000;
const OUTPUT_RESERVE_TOKENS = 4_000;
/**
* Input budget in characters, given how much of the context the caller intends
* to leave for the answer. The reserve must match the output budget the caller
* will actually request, or the two disagree and the model overruns its context.
*/
export const getModelInputCharBudget = ({ catalog, providerID, modelID, outputReserveTokens }) => {
const limit = catalog?.[providerID]?.models?.[modelID]?.limit;
const known = Number(limit?.context) > 0;
const contextTokens = known ? Number(limit.context) : DEFAULT_CONTEXT_TOKENS;
const reserve = Number(outputReserveTokens) > 0 ? Number(outputReserveTokens) : OUTPUT_RESERVE_TOKENS;
const inputBudgetTokens = Math.max(1_000, contextTokens - reserve);
return { maxChars: inputBudgetTokens * 4, contextTokens, contextKnown: known };
};
/**
* The output budget to actually request: what the caller asked for, capped by
* what the model admits it can emit. Asking for more than `limit.output` is
* rejected outright by some providers and silently ignored by others.
*/
const resolveOutputTokens = ({ catalog, providerID, modelID, maxOutputTokens }) => {
const requested = Number(maxOutputTokens) > 0 ? Number(maxOutputTokens) : 0;
if (!requested) return undefined;
const limit = Number(catalog?.[providerID]?.models?.[modelID]?.limit?.output);
return limit > 0 ? Math.min(requested, limit) : requested;
};
// `truncate` keeps the historical behavior for callers whose prompt losing its
// tail is survivable (summaries, commit messages). `error` is for callers whose
// output would be quietly wrong on a clipped input — they need the failure.
const clampPromptToModelLimit = ({ prompt, catalog, providerID, modelID, onOverflow, outputReserveTokens }) => {
const { maxChars } = getModelInputCharBudget({ catalog, providerID, modelID, outputReserveTokens });
if (prompt.length <= maxChars) {
return { prompt, truncated: false };
}
if (onOverflow === 'error') {
throw Object.assign(
new Error(`Input is too large for ${providerID}/${modelID}: ${prompt.length} characters exceeds the ${maxChars} the model's context allows`),
{ statusCode: 413, code: 'context-too-small', providerID, modelID, requiredChars: prompt.length, availableChars: maxChars },
);
}
return { prompt: `${prompt.slice(0, maxChars)}…`, truncated: true };
};
const readConfiguredSmallModel = (workingDirectory) => {
try {
const { mergedConfig } = readConfigLayers(workingDirectory);
const value = mergedConfig?.small_model;
return typeof value === 'string' ? value : null;
} catch {
return null;
}
};
/**
* Generates text with the user's small model, resolved and authenticated
* entirely server-side from the OpenCode config and auth store.
*/
export async function generateSmallModelText({ prompt, system, maxOutputTokens, model, directory, preferredProviderID, preferredModelID, restrictToPreferredProvider = false, responseSchema, timeoutMs, signal, onOverflow = 'truncate' }) {
if (typeof prompt !== 'string' || !prompt.trim()) {
throw Object.assign(new Error('prompt is required'), { statusCode: 400 });
}
const auth = readAuthFile();
const catalog = await getModelCatalog().catch(() => ({}));
const explicit = parseModelRef(model);
const resolved = explicit
? { ...explicit, source: 'request' }
: resolveSmallModel({
auth,
catalog,
settingsSmallModel: readSmallModelSettingsOverride(),
configSmallModel: readConfiguredSmallModel(directory),
preferredProviderID,
preferredModelID,
});
if (!resolved) {
throw Object.assign(
new Error('No small model available — no authenticated provider has a suitable model'),
{ statusCode: 404 },
);
}
// Callers with a session context can forbid silently switching providers:
// an explicit user choice (settings override, opencode config, request
// model) is always allowed, anything else must stay on the session's
// provider.
if (restrictToPreferredProvider
&& !['settings', 'config', 'request'].includes(resolved.source)
&& resolved.providerID !== preferredProviderID) {
throw Object.assign(
new Error('No small model available within the session provider'),
{ statusCode: 404 },
);
}
const outputTokens = resolveOutputTokens({
catalog,
providerID: resolved.providerID,
modelID: resolved.modelID,
maxOutputTokens,
});
const clamped = clampPromptToModelLimit({
prompt: prompt.trim(),
catalog,
providerID: resolved.providerID,
modelID: resolved.modelID,
onOverflow,
outputReserveTokens: outputTokens,
});
const text = await callSmallModel({
auth,
catalog,
workingDirectory: directory,
providerID: resolved.providerID,
modelID: resolved.modelID,
prompt: clamped.prompt,
system: typeof system === 'string' && system.trim() ? system.trim() : undefined,
maxOutputTokens: outputTokens,
responseSchema,
timeoutMs,
signal,
});
return {
text: text.trim(),
providerID: resolved.providerID,
modelID: resolved.modelID,
source: resolved.source,
...(clamped.truncated ? { inputTruncated: true } : {}),
};
}
/**
* Provider ids with a usable OpenCode login — the set the small model can
* actually call. Used by the settings override picker to hide providers that
* would only ever fail (e.g. opencode free models without a token).
*/
export function listAuthenticatedProviders() {
try {
const auth = readAuthFile();
const ids = new Set(
Object.keys(auth || {}).filter((providerID) => isUsableAuthEntry(auth[providerID])),
);
// The catalog id is github-copilot while legacy auth entries may sit
// under the copilot alias.
if (isUsableAuthEntry(getAuthEntryForProvider(auth, 'github-copilot'))) {
ids.add('github-copilot');
}
return Array.from(ids);
} catch {
return [];
}
}
/**
* Reports which model would be used, without calling it.
*
* `inputCharBudget` and `structuredOutput` let callers refuse work before
* spending a request: the walkthrough needs both a big enough context and
* schema-shaped output, and would rather tell the user to pick another model
* than send a doomed prompt. `structuredOutput` is deliberately tri-state —
* the catalog omits the field for roughly half of all models (aggregators and
* proxies especially), and treating "unknown" as "unsupported" would hide
* models that work fine.
*/
/**
* The reserve, resolved against the model that was actually picked.
*
* A caller that wants "as much answer room as this model allows" cannot state a
* number up front — it does not know which model it will get. Passing a
* function lets it decide once the limits are known, and keeps the reserve and
* the eventual request the same number by construction.
*/
const resolveReserveTokens = (outputReserveTokens, limits) => (
typeof outputReserveTokens === 'function' ? outputReserveTokens(limits) : outputReserveTokens
);
export async function describeSmallModel({ directory, preferredProviderID, preferredModelID, outputReserveTokens, overrideModel } = {}) {
const auth = readAuthFile();
const catalog = await getModelCatalog().catch(() => ({}));
// A caller with its own model setting (the diff walkthrough) outranks the
// small-model chain entirely — it asked for this model on purpose.
const explicit = parseModelRef(overrideModel);
const resolved = explicit
? { ...explicit, source: 'request' }
: resolveSmallModel({
auth,
catalog,
settingsSmallModel: readSmallModelSettingsOverride(),
configSmallModel: readConfiguredSmallModel(directory),
preferredProviderID,
preferredModelID,
});
if (!resolved) return resolved;
const entry = catalog?.[resolved.providerID]?.models?.[resolved.modelID];
const outputTokenLimit = Number(entry?.limit?.output) > 0 ? Number(entry.limit.output) : null;
// Two passes: the first only to learn the context, which a caller-supplied
// reserve function needs before it can answer.
const { contextTokens, contextKnown } = getModelInputCharBudget({
catalog,
providerID: resolved.providerID,
modelID: resolved.modelID,
});
const reserveTokens = resolveReserveTokens(outputReserveTokens, { contextTokens, outputTokenLimit });
const { maxChars } = getModelInputCharBudget({
catalog,
providerID: resolved.providerID,
modelID: resolved.modelID,
outputReserveTokens: reserveTokens,
});
return {
...resolved,
inputCharBudget: maxChars,
contextTokens,
contextKnown,
// What the caller should ask for, so the request and the reserve above
// cannot drift apart.
outputTokens: Number(reserveTokens) > 0 ? Number(reserveTokens) : null,
structuredOutput: typeof entry?.structured_output === 'boolean' ? entry.structured_output : null,
outputTokenLimit,
};
}