halkyon/packages/halkyon_base_server/test/integration/assistant/assistant_test.dart

1717 lines
58 KiB
Dart
Raw Permalink Normal View History

feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
import 'dart:async';
import 'dart:convert';
import 'dart:typed_data';
import 'package:clock/clock.dart';
import 'package:halkyon_base_server/base.dart';
import 'package:halkyon_llm/halkyon_llm.dart';
import 'package:halkyon_llm/testing.dart';
import 'package:serverpod/serverpod.dart';
import 'package:test/test.dart';
import '../support/fixtures.dart';
import '../support/password_support.dart';
import '../test_tools/serverpod_test_tools.dart';
// The assistants an operator grants (Halkyon Learn's ADR 0021, step 2): what
// a person is offered and agrees to (D40), a question forwarded to the
// provider and its answer streamed back (D35) at the effort chosen (D63),
// refused without a grant, an agreement, room within the person's budget
// (D58, D59) or a question the provider can take; what each request counts
// (D38, D42), kept 3 months (D41) and deleted with the person; and the
// operator's grants, budgets and figures, refused to anyone else.
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
// The provider is a FakeLlmClient: halkyon_llm's own tests hold the
// protocols.
/// 22:30 UTC on 25 Oct 2026: the day's budget resets at midnight, the
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
/// month's on 1 Nov.
final _now = DateTime.utc(2026, 10, 25, 22, 30);
final _settings = {
'ASSISTANTS': 'claude local',
'ASSISTANT_ID_KEY': 'k' * assistantIdKeyMinLength,
'ASSISTANT_CURRENCY': 'EUR',
'ASSISTANT_CLAUDE_NAME': 'Claude Sonnet',
'ASSISTANT_CLAUDE_PROTOCOL': 'anthropic',
'ASSISTANT_CLAUDE_MODEL': 'claude-sonnet-5-5',
'ASSISTANT_CLAUDE_KEY': 'sk-ant-test',
'ASSISTANT_CLAUDE_IMAGES': 'on',
'ASSISTANT_CLAUDE_PRICE_INPUT': '3',
'ASSISTANT_CLAUDE_PRICE_OUTPUT': '15',
'ASSISTANT_LOCAL_NAME': 'Qwen at home',
'ASSISTANT_LOCAL_PROTOCOL': 'openai',
'ASSISTANT_LOCAL_BASE_URL': 'http://ollama:11434/v1',
'ASSISTANT_LOCAL_MODEL': 'qwen3:8b',
};
Assistants _assistants([Map<String, String> changes = const {}]) =>
assistantsFrom({..._settings, ...changes}.get);
AssistantMessage _user(List<AssistantPart> parts) =>
AssistantMessage(role: AssistantRole.user, parts: parts);
AssistantMessage _model(List<AssistantPart> parts) =>
AssistantMessage(role: AssistantRole.assistant, parts: parts);
AssistantPart _text(String text) =>
AssistantPart(kind: AssistantPartKind.text, text: text);
AssistantQuestion _question({
String assistant = 'claude',
List<AssistantMessage>? messages,
List<AssistantTool> tools = const [],
int maxOutputTokens = 2048,
AssistantEffort? effort,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
}) => AssistantQuestion(
assistant: assistant,
system: 'Du hilfst beim Japanischlernen.',
messages:
messages ??
[
_user([_text('Was heißt „Hund“?')]),
],
tools: tools,
maxOutputTokens: maxOutputTokens,
effort: effort,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
/// A budget of [dailyCost] and [monthlyCost] in millionths, and
/// [dailyTokens] and [monthlyTokens]; none of them: no limits.
AssistantLimits _budget({
int? dailyCost,
int? monthlyCost,
int? dailyTokens,
int? monthlyTokens,
}) => AssistantLimits(
dailyCostMicros: dailyCost,
monthlyCostMicros: monthlyCost,
dailyTokens: dailyTokens,
monthlyTokens: monthlyTokens,
);
/// The limits of [budget], to compare.
(int?, int?, int?, int?) _limitsOf(AssistantLimits budget) => (
budget.dailyCostMicros,
budget.monthlyCostMicros,
budget.dailyTokens,
budget.monthlyTokens,
);
/// What [use] says, to compare.
(int, int) _useOf(AssistantUse use) => (use.costMicros, use.tokens);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
Matcher _refused(AssistantRefusal refusal) => throwsA(
isA<AssistantRefusedException>().having(
(e) => e.refusal,
'refusal',
refusal,
),
);
Matcher _refusedForOperator(OperatorRefusal reason) => throwsA(
isA<OperatorRefusedException>().having((e) => e.reason, 'reason', reason),
);
void main() {
withServerpod(
'Assistants',
// The figures are counted on a session of their own, outside any test's
// transaction: these tests delete what they make instead.
rollbackDatabase: RollbackDatabase.disabled,
(sessionBuilder, endpoints) {
late Session session;
late Serverpod pod;
late FakeLlmClient provider;
/// The instance's operator.
late UuidValue olga;
late UuidValue olgasLaptop;
/// Identified; no operator.
late UuidValue ben;
late UuidValue bensPhone;
setUp(() async {
useBase(sessionBuilder, app: 'learn');
session = sessionBuilder.build();
pod = session.serverpod;
await _deleteAll(session);
provider = FakeLlmClient();
useAssistants(pod, _assistants());
useLlmClient(pod, provider);
olga = await newPersonWithAddress(
session,
'olga@example.org',
handle: 'Olga',
);
olgasLaptop = await signInNewDevice(
session,
olga,
scopes: {identified, instanceOperator},
);
ben = await newPersonWithAddress(
session,
'ben@example.org',
handle: 'ben',
);
bensPhone = await signInNewDevice(session, ben, scopes: {identified});
});
tearDown(() async {
await assistantUsageCounted();
useAssistants(pod, null);
useLlmClient(pod, null);
await _deleteAll(sessionBuilder.build());
});
TestSessionBuilder notSignedIn() => sessionBuilder.copyWith(
authentication: AuthenticationOverride.unauthenticated(),
);
TestSessionBuilder asOlga() => sessionBuilder.copyWith(
authentication: AuthenticationOverride.authenticationInfo(
olga.uuid,
{identified, instanceOperator},
authId: olgasLaptop.uuid,
),
);
TestSessionBuilder asBen() => sessionBuilder.copyWith(
authentication: AuthenticationOverride.authenticationInfo(
ben.uuid,
{identified},
authId: bensPhone.uuid,
),
);
Future<T> atNow<T>(Future<T> Function() body) =>
withClock(Clock.fixed(_now), body);
/// Grants Ben [assistant] with [budget] (none: no limits), as Olga.
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
Future<void> grantBen({
String assistant = 'claude',
AssistantLimits? budget,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
}) => endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben],
assistants: [assistant],
budget: budget ?? _budget(),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
/// Grants Ben [assistant], and he agrees to it.
Future<void> grantAndAgree({
String assistant = 'claude',
AssistantLimits? budget,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
}) async {
await grantBen(assistant: assistant, budget: budget);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await endpoints.assistant.agree(asBen(), assistant: assistant);
}
/// A grant of [assistant] to Ben from before, which the instance may
/// set no more (D44).
Future<void> grantedBefore(String assistant) =>
AssistantGrant.db.insertRow(
session,
AssistantGrant(
authUserId: ben,
assistant: assistant,
grantedAt: _now,
),
);
/// What Ben's question is answered with, whole.
Future<List<AssistantAnswer>> askAsBen(AssistantQuestion question) =>
endpoints.assistant.ask(asBen(), question: question).toList();
/// Ben's figures of [assistant], day by day.
Future<List<AssistantFigures>> figuresOfBen([
String assistant = 'claude',
]) => AssistantFigures.db.find(
session,
where: (t) => t.authUserId.equals(ben) & t.assistant.equals(assistant),
orderBy: (t) => t.day,
);
/// Ben's use of [assistant] on [day], as counted before.
Future<void> usedBefore(
DateTime day, {
String assistant = 'claude',
int inputTokens = 0,
int outputTokens = 0,
int costMicros = 0,
}) => AssistantFigures.db.insertRow(
session,
AssistantFigures(
authUserId: ben,
assistant: assistant,
day: day,
requests: 1,
inputTokens: inputTokens,
outputTokens: outputTokens,
costMicros: costMicros,
),
);
group('asking (D35, point 7)', () {
test('streams the answer as the model writes it, then the whole turn '
"with what was counted, forwarded with the operator's endpoint and "
"the person's opaque ID (D30)", () async {
await grantAndAgree();
provider.replyText(
'„Hund“ heißt 犬.',
usage: const LlmUsage(inputTokens: 1000, outputTokens: 200),
);
final answers = await askAsBen(_question());
expect(
[for (final answer in answers) ?answer.delta].join(),
'„Hund“ heißt 犬.',
);
final last = answers.last;
expect(last.delta, isNull);
expect(last.stop, AssistantStop.end);
expect(last.message!.role, AssistantRole.assistant);
expect(last.message!.parts.single.text, '„Hund“ heißt 犬.');
expect((last.inputTokens, last.outputTokens), (1000, 200));
final (endpoint, request) = provider.sent.single;
expect(endpoint.protocol, LlmProtocol.anthropic);
expect(endpoint.model, 'claude-sonnet-5-5');
expect(endpoint.apiKey, 'sk-ant-test');
expect(request.system, 'Du hilfst beim Japanischlernen.');
expect(request.messages.single.text, 'Was heißt „Hund“?');
expect(request.maxOutputTokens, 2048);
expect(request.personId, _assistants().personIdOf(ben));
expect(request.personId, isNot(contains(ben.uuid)));
});
test('counts each request into the UTC day, at the prices of the '
'time (D38, D42)', () async {
await grantAndAgree();
provider
..replyText(
'a',
usage: const LlmUsage(inputTokens: 1000, outputTokens: 200),
)
..replyText(
'b',
usage: const LlmUsage(inputTokens: 500, outputTokens: 100),
);
await atNow(() => askAsBen(_question()));
await atNow(() => askAsBen(_question()));
final day = (await figuresOfBen()).single;
expect(day.day, DateTime.utc(2026, 10, 25));
expect(day.requests, 2);
expect((day.inputTokens, day.outputTokens), (1500, 300));
// 1,500 input tokens at 3 and 300 output at 15 per million.
expect(day.costMicros, 1500 * 3 + 300 * 15);
});
test("sends the conversation as the person's app holds it: images to "
'an assistant that reads them, tool calls with what the provider '
'wants back, their results, blocks only the provider reads; and '
'hands the tool calls back alike', () async {
await grantAndAgree();
provider.reply([
LlmFinished(
message: LlmMessage.assistant(const [
LlmProviderBlock(
protocol: LlmProtocol.anthropic,
block: {'type': 'thinking', 'signature': 'EqQB'},
),
LlmToolCall(
id: 'toolu_2',
name: 'find_cards',
input: {'query': 'Katze'},
extra: {'x': 1},
),
]),
stop: LlmStop.toolCalls,
usage: const LlmUsage(inputTokens: 10, outputTokens: 5),
),
]);
final picture = Uint8List.fromList([1, 2, 3]);
final answers = await askAsBen(
_question(
messages: [
_user([
_text('Was steht da?'),
AssistantPart(
kind: AssistantPartKind.image,
mediaType: 'image/png',
bytes: ByteData.sublistView(picture),
),
]),
_model([
AssistantPart(
kind: AssistantPartKind.providerBlock,
protocol: 'anthropic',
json: '{"type":"thinking","signature":"EqQA"}',
),
AssistantPart(
kind: AssistantPartKind.text,
text: 'Ich sehe nach.',
extra: '{"phase":"commentary"}',
),
AssistantPart(
kind: AssistantPartKind.toolCall,
callId: 'toolu_1',
name: 'find_cards',
json: '{"query":"Hund"}',
),
]),
_user([
AssistantPart(
kind: AssistantPartKind.toolResult,
callId: 'toolu_1',
text: 'Keine Karte',
isError: true,
),
]),
],
tools: [
AssistantTool(
name: 'find_cards',
description: 'Finds cards.',
inputSchema: '{"type":"object"}',
),
],
),
);
final request = provider.sent.single.$2;
final [first, second, third] = request.messages;
expect(first.role, LlmRole.user);
final [text, image] = first.parts;
expect((text as LlmText).text, 'Was steht da?');
expect((image as LlmImage).mediaType, 'image/png');
expect(image.bytes, picture);
expect(second.role, LlmRole.assistant);
final [block, said, call] = second.parts;
expect((block as LlmProviderBlock).protocol, LlmProtocol.anthropic);
expect(block.block, {'type': 'thinking', 'signature': 'EqQA'});
expect((said as LlmText).extra, {'phase': 'commentary'});
expect((call as LlmToolCall).id, 'toolu_1');
expect(call.input, {'query': 'Hund'});
final result = third.parts.single as LlmToolResult;
expect((result.callId, result.content), ('toolu_1', 'Keine Karte'));
expect(result.isError, isTrue);
expect(request.tools.single.name, 'find_cards');
expect(request.tools.single.inputSchema, {'type': 'object'});
final last = answers.single;
expect(last.stop, AssistantStop.toolCalls);
final [kept, called] = last.message!.parts;
expect(kept.kind, AssistantPartKind.providerBlock);
expect(kept.protocol, 'anthropic');
expect(jsonDecode(kept.json!), {
'type': 'thinking',
'signature': 'EqQB',
});
expect(called.kind, AssistantPartKind.toolCall);
expect((called.callId, called.name), ('toolu_2', 'find_cards'));
expect(jsonDecode(called.json!), {'query': 'Katze'});
expect(jsonDecode(called.extra!), {'x': 1});
});
test("holds the ceiling on output to the effort's, the model's own "
"default's without one (D63)", () async {
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_EFFORT': 'medium',
'ASSISTANT_CLAUDE_MAX_EFFORT': 'xhigh',
}),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await grantAndAgree();
await grantAndAgree(assistant: 'local');
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
provider
..replyText('a')
..replyText('b')
..replyText('c')
..replyText('d');
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await askAsBen(_question(maxOutputTokens: 100000));
await askAsBen(
_question(maxOutputTokens: 100000, effort: AssistantEffort.xhigh),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await askAsBen(_question(maxOutputTokens: 0));
await askAsBen(
_question(assistant: 'local', maxOutputTokens: 100000),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect(
[for (final (_, request) in provider.sent) request.maxOutputTokens],
[
LlmEffort.medium.outputCeiling,
LlmEffort.xhigh.outputCeiling,
1,
LlmEffort.defaultOutputCeiling,
],
);
});
test("asks at the effort the person picks within the operator's "
"range, else at the operator's default, else at the model's own "
'(D63)', () async {
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_EFFORT': 'medium',
'ASSISTANT_CLAUDE_MAX_EFFORT': 'high',
}),
);
await grantAndAgree();
await grantAndAgree(assistant: 'local');
provider
..replyText('a')
..replyText('b')
..replyText('c')
..replyText('d');
await askAsBen(_question());
await askAsBen(_question(effort: AssistantEffort.low));
await askAsBen(_question(effort: AssistantEffort.high));
await askAsBen(_question(assistant: 'local'));
expect(
[for (final (_, request) in provider.sent) request.effort],
[LlmEffort.medium, LlmEffort.low, LlmEffort.high, null],
);
});
test('money stops only the assistants with prices; tokens stop every '
'one (D59)', () async {
// Each grant sets the person's budget, so the second sets it again.
await grantAndAgree(budget: _budget(dailyCost: 100));
await grantAndAgree(
assistant: 'local',
budget: _budget(dailyCost: 100),
);
await usedBefore(DateTime.utc(2026, 10, 25), costMicros: 100);
provider.replyText('犬');
await expectLater(
atNow(() => askAsBen(_question())),
_refused(AssistantRefusal.limitReached),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
await atNow(() => askAsBen(_question(assistant: 'local')));
expect(provider.sent.single.$1.model, 'qwen3:8b');
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
});
test('an answer cancelled is counted to its end all the same, so '
"cancelling can't slip past a limit", () async {
await grantAndAgree();
final held = _HeldClient();
useLlmClient(pod, held);
final answers = endpoints.assistant.ask(
asBen(),
question: _question(),
);
final first = Completer<AssistantAnswer>();
final subscription = answers.listen((answer) {
if (!first.isCompleted) {
first.complete(answer);
}
});
held.add(const LlmTextDelta('„Hund“'));
await first.future;
await subscription.cancel();
held
..add(const LlmTextDelta(' heißt 犬.'))
..finish(const LlmUsage(inputTokens: 800, outputTokens: 400));
await assistantUsageCounted();
expect(held.cancelled, isFalse);
final day = (await figuresOfBen()).single;
expect(
(day.requests, day.inputTokens, day.outputTokens),
(1, 800, 400),
);
});
group(
"a provider's failure is told by kind, what it counted counted",
() {
final failures = {
LlmFailureKind.key: AssistantRefusal.providerKey,
LlmFailureKind.rateLimited: AssistantRefusal.providerBusy,
LlmFailureKind.unavailable: AssistantRefusal.providerBusy,
LlmFailureKind.request: AssistantRefusal.providerRefused,
LlmFailureKind.provider: AssistantRefusal.providerFailed,
LlmFailureKind.network: AssistantRefusal.providerFailed,
LlmFailureKind.malformed: AssistantRefusal.providerFailed,
};
for (final MapEntry(key: kind, value: refusal)
in failures.entries) {
test('${kind.name}: ${refusal.name}', () async {
await grantAndAgree();
provider.fail(
kind,
usage: const LlmUsage(inputTokens: 300, outputTokens: 0),
);
await expectLater(askAsBen(_question()), _refused(refusal));
final day = (await figuresOfBen()).single;
expect((day.requests, day.inputTokens), (1, 300));
});
}
test("with the provider's wait, where it says", () async {
await grantAndAgree();
provider.reply(
const [],
failure: const LlmFailure(
kind: LlmFailureKind.rateLimited,
detail: 'slow down',
retryAfter: Duration(seconds: 30),
),
);
await expectLater(
askAsBen(_question()),
throwsA(
isA<AssistantRefusedException>().having(
(e) => e.retryAfterSeconds,
'retryAfterSeconds',
30,
),
),
);
});
},
);
});
group('asking is refused, and nothing goes to the provider', () {
tearDown(() => expect(provider.sent, isEmpty));
test('to someone not signed in', () async {
await expectLater(
endpoints.assistant
.ask(notSignedIn(), question: _question())
.toList(),
throwsA(isA<ServerpodUnauthenticatedException>()),
);
});
test('without a grant, for an assistant not set, and for one set no '
'more (D44)', () async {
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.notGranted),
);
await expectLater(
askAsBen(_question(assistant: 'gpt')),
_refused(AssistantRefusal.notGranted),
);
await grantAndAgree();
useAssistants(pod, _assistants({'ASSISTANTS': 'local'}));
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.notGranted),
);
});
test('until the person agreed, and again once the assistant moved to '
'another provider (D40)', () async {
await grantBen();
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.notAgreed),
);
await endpoints.assistant.agree(asBen(), assistant: 'claude');
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_BASE_URL': 'https://claude.proxy.example.org',
}),
);
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.notAgreed),
);
});
test(
"past a day's budget in money, all of the person's assistants "
"counted together, saying it resets at UTC's midnight (D42, D58)",
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
() async {
await grantAndAgree(budget: _budget(dailyCost: 10000));
await usedBefore(DateTime.utc(2026, 10, 25), costMicros: 6000);
await usedBefore(
DateTime.utc(2026, 10, 25),
assistant: 'haiku',
costMicros: 4000,
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await expectLater(
atNow(() => askAsBen(_question())),
throwsA(
isA<AssistantRefusedException>()
.having(
(e) => e.refusal,
'refusal',
AssistantRefusal.limitReached,
)
.having(
(e) => e.resetsAt,
'resetsAt',
DateTime.utc(2026, 10, 26),
),
),
);
},
);
test("past a month's budget, saying it resets on the next month's "
"first, which a day's budget doesn't change", () async {
await grantAndAgree(
budget: _budget(dailyCost: 10000, monthlyCost: 25000),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await usedBefore(DateTime.utc(2026, 10, 3), costMicros: 15000);
await usedBefore(DateTime.utc(2026, 10, 25), costMicros: 10000);
await expectLater(
atNow(() => askAsBen(_question())),
throwsA(
isA<AssistantRefusedException>()
.having(
(e) => e.refusal,
'refusal',
AssistantRefusal.limitReached,
)
.having(
(e) => e.resetsAt,
'resetsAt',
DateTime.utc(2026, 11),
),
),
);
});
test('past a budget in tokens, every assistant counted, priced or '
'not (D59)', () async {
await grantAndAgree(budget: _budget(dailyTokens: 1000));
await grantAndAgree(
assistant: 'local',
budget: _budget(dailyTokens: 1000),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await usedBefore(
DateTime.utc(2026, 10, 25),
assistant: 'local',
inputTokens: 500,
outputTokens: 100,
);
await usedBefore(
DateTime.utc(2026, 10, 25),
inputTokens: 300,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
outputTokens: 100,
);
await expectLater(
atNow(() => askAsBen(_question(assistant: 'local'))),
_refused(AssistantRefusal.limitReached),
);
await expectLater(
atNow(() => askAsBen(_question())),
_refused(AssistantRefusal.limitReached),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
});
test("with an effort above the operator's highest, or to an "
'assistant without a range (D63)', () async {
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_EFFORT': 'medium',
'ASSISTANT_CLAUDE_MAX_EFFORT': 'high',
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
}),
);
await grantAndAgree();
await grantAndAgree(assistant: 'local');
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await expectLater(
askAsBen(_question(effort: AssistantEffort.xhigh)),
_refused(AssistantRefusal.invalidEffort),
);
await expectLater(
askAsBen(
_question(assistant: 'local', effort: AssistantEffort.low),
),
_refused(AssistantRefusal.invalidEffort),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
});
test('with an image, to an assistant that reads none (D12)', () async {
await grantAndAgree(assistant: 'local');
await expectLater(
askAsBen(
_question(
assistant: 'local',
messages: [
_user([
AssistantPart(
kind: AssistantPartKind.image,
mediaType: 'image/png',
bytes: ByteData(3),
),
]),
],
),
),
_refused(AssistantRefusal.imagesNotRead),
);
});
group('for a question that cannot be sent', () {
final malformed = <String, AssistantQuestion>{
'no turn': _question(messages: []),
"the last turn the model's": _question(
messages: [
_user([_text('?')]),
_model([_text('!')]),
],
),
'a turn without parts': _question(messages: [_user([])]),
"a tool call in the person's turn": _question(
messages: [
_user([
AssistantPart(
kind: AssistantPartKind.toolCall,
callId: 'c',
name: 'n',
json: '{}',
),
]),
],
),
"an image in the model's turn": _question(
messages: [
_user([_text('?')]),
_model([
AssistantPart(
kind: AssistantPartKind.image,
mediaType: 'image/png',
bytes: ByteData(3),
),
]),
_user([_text('?')]),
],
),
'a text without its text': _question(
messages: [
_user([AssistantPart(kind: AssistantPartKind.text)]),
],
),
"a tool call's input that is no JSON object": _question(
messages: [
_user([_text('?')]),
_model([
AssistantPart(
kind: AssistantPartKind.toolCall,
callId: 'c',
name: 'n',
json: '[1]',
),
]),
_user([
AssistantPart(
kind: AssistantPartKind.toolResult,
callId: 'c',
text: '',
),
]),
],
),
'a block of a protocol unknown': _question(
messages: [
_user([_text('?')]),
_model([
AssistantPart(
kind: AssistantPartKind.providerBlock,
protocol: 'lumo',
json: '{}',
),
]),
_user([_text('?')]),
],
),
'an image of a type the providers refuse': _question(
messages: [
_user([
AssistantPart(
kind: AssistantPartKind.image,
mediaType: 'image/svg+xml',
bytes: ByteData(3),
),
]),
],
),
'a tool named as no provider takes': _question(
tools: [
AssistantTool(
name: 'find cards',
description: '',
inputSchema: '{"type":"object"}',
),
],
),
"a tool's schema that is no JSON object": _question(
tools: [
AssistantTool(
name: 'find_cards',
description: '',
inputSchema: 'object',
),
],
),
};
for (final MapEntry(key: name, value: question)
in malformed.entries) {
test(name, () async {
await grantAndAgree();
await expectLater(
askAsBen(question),
_refused(AssistantRefusal.malformed),
);
});
}
});
test('for a question too large: its text, or an image', () async {
await grantAndAgree();
await expectLater(
askAsBen(
_question(
messages: [
_user([_text('犬' * (assistantQuestionMaxCharacters + 1))]),
],
),
),
_refused(AssistantRefusal.tooLarge),
);
await expectLater(
askAsBen(
_question(
messages: [
_user([
AssistantPart(
kind: AssistantPartKind.image,
mediaType: 'image/jpeg',
bytes: ByteData(assistantImageMaxBytes + 1),
),
]),
],
),
),
_refused(AssistantRefusal.tooLarge),
);
});
test('on a member, which offers no assistant yet (D43)', () async {
await grantAndAgree();
useBase(
sessionBuilder,
app: 'todo',
accounts: MemberOfRegister(Uri.parse('http://learn.test:8082')),
);
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.notGranted),
);
expect(
(await endpoints.assistant.offered(asBen())).assistants,
isEmpty,
);
});
});
test('a person has at most $maxQuestionsAtOnce questions on their way '
'at once, so parallel ones never pass a limit together', () async {
await grantAndAgree();
final held = [
for (var i = 0; i < maxQuestionsAtOnce; i++) _HeldClient(),
];
final client = _Clients(held);
useLlmClient(pod, client);
final asked = [
for (var i = 0; i < maxQuestionsAtOnce; i++) askAsBen(_question()),
];
await client.allSent;
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.tooManyAtOnce),
);
for (final one in held) {
one.finish(const LlmUsage(inputTokens: 1, outputTokens: 1));
}
await Future.wait(asked);
expect(client.sent, maxQuestionsAtOnce);
});
group('what a person is offered (point 6, D27)', () {
test("the assistants granted that are set, in the operator's order, "
'with what goes where and their effort, and the budget with what '
'is used of it, every assistant together', () async {
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_EFFORT': 'medium',
'ASSISTANT_CLAUDE_MAX_EFFORT': 'high',
}),
);
await grantBen(assistant: 'local');
await grantAndAgree(
budget: _budget(
dailyCost: 10000,
monthlyCost: 50000,
monthlyTokens: 100000,
),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await grantedBefore('gone');
await usedBefore(
DateTime.utc(2026, 10, 3),
costMicros: 7000,
inputTokens: 600,
outputTokens: 100,
);
await usedBefore(
DateTime.utc(2026, 10, 25),
costMicros: 2500,
inputTokens: 100,
outputTokens: 20,
);
await usedBefore(
DateTime.utc(2026, 10, 25),
assistant: 'local',
inputTokens: 250,
outputTokens: 50,
);
await usedBefore(DateTime.utc(2026, 9, 30), costMicros: 1);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final offered = await atNow(
() => endpoints.assistant.offered(asBen()),
);
expect(offered.currency, 'EUR');
expect(offered.ownKeys, isFalse);
final [claude, local] = offered.assistants;
expect(claude.id, 'claude');
expect(claude.name, 'Claude Sonnet');
expect(claude.protocol, 'anthropic');
expect(claude.host, 'api.anthropic.com');
expect(claude.model, 'claude-sonnet-5-5');
expect(claude.images, isTrue);
expect(claude.agreedAt, isNotNull);
expect(claude.effort, AssistantEffort.medium);
expect(claude.efforts, [
AssistantEffort.low,
AssistantEffort.medium,
AssistantEffort.high,
]);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect(local.id, 'local');
expect(local.host, 'ollama');
expect(local.agreedAt, isNull);
expect(local.effort, isNull);
expect(local.efforts, isEmpty);
expect(_limitsOf(offered.budget), (10000, 50000, null, 100000));
expect(_useOf(offered.usedToday), (2500, 420));
expect(_useOf(offered.usedThisMonth), (9500, 1120));
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
});
test(
'no budget: no limits, what is used counted all the same',
() async {
await grantAndAgree();
await usedBefore(DateTime.utc(2026, 10, 25), costMicros: 30);
final offered = await atNow(
() => endpoints.assistant.offered(asBen()),
);
expect(_limitsOf(offered.budget), (null, null, null, null));
expect(_useOf(offered.usedToday), (30, 0));
},
);
test('an agreement to another provider counts as none', () async {
await grantAndAgree();
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_BASE_URL': 'https://claude.proxy.example.org',
}),
);
final claude = (await endpoints.assistant.offered(asBen()))
.assistants
.single;
expect(claude.host, 'claude.proxy.example.org');
expect(claude.agreedAt, isNull);
});
group('with two assistants of one provider (D66)', () {
setUp(
() => useAssistants(
pod,
_assistants({
'ASSISTANTS': 'claude opus local',
'ASSISTANT_OPUS_NAME': 'Claude Opus',
'ASSISTANT_OPUS_PROTOCOL': 'anthropic',
'ASSISTANT_OPUS_MODEL': 'claude-opus-5-5',
'ASSISTANT_OPUS_KEY': 'sk-ant-test',
}),
),
);
Future<Map<String, bool>> agreed() async => {
for (final assistant in (await endpoints.assistant.offered(
asBen(),
)).assistants)
assistant.id: assistant.agreedAt != null,
};
test('one agreement holds for every assistant of its provider, one '
'granted later too; another provider asks its own', () async {
await endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben],
assistants: ['claude', 'local'],
budget: _budget(),
);
await endpoints.assistant.agree(asBen(), assistant: 'claude');
await grantBen(assistant: 'opus');
expect(await agreed(), {
'claude': true,
'opus': true,
'local': false,
});
provider.replyText('犬');
await askAsBen(_question(assistant: 'opus'));
await expectLater(
askAsBen(_question(assistant: 'local')),
_refused(AssistantRefusal.notAgreed),
);
});
test('taking back the assistant agreed to keeps the agreement for '
'the others of its provider', () async {
await endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben],
assistants: ['claude', 'opus'],
budget: _budget(),
);
await endpoints.assistant.agree(asBen(), assistant: 'claude');
await endpoints.assistantOperator.change(
asOlga(),
account: ben,
assistants: ['opus'],
budget: _budget(),
);
expect(await agreed(), {'opus': true});
});
test(
"the operator's list shows it agreed to for each of them",
() async {
await endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben],
assistants: ['claude', 'opus'],
budget: _budget(),
);
await endpoints.assistant.agree(asBen(), assistant: 'opus');
final grantee = (await endpoints.assistantOperator.granteesOf(
asOlga(),
accounts: [ben],
)).single;
expect(
[for (final each in grantee.assistants) each.agreedAt != null],
[true, true],
);
},
);
});
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
test('a new model of the same provider keeps the agreement', () async {
await grantAndAgree();
useAssistants(
pod,
_assistants({'ASSISTANT_CLAUDE_MODEL': 'claude-opus-5-5'}),
);
provider.replyText('犬');
final offered = await endpoints.assistant.offered(asBen());
expect(offered.assistants.single.agreedAt, isNotNull);
await askAsBen(_question());
});
test('whether personal keys are allowed (D5, D6)', () async {
useAssistants(pod, _assistants({'ASSISTANT_OWN_KEYS': 'on'}));
expect((await endpoints.assistant.offered(asBen())).ownKeys, isTrue);
expect(
(await endpoints.instance.basics(notSignedIn())).assistantOwnKeys,
isTrue,
);
});
test('agreeing is refused without a grant, or for an assistant not '
'set', () async {
await expectLater(
endpoints.assistant.agree(asBen(), assistant: 'claude'),
_refused(AssistantRefusal.notGranted),
);
await grantedBefore('gone');
await expectLater(
endpoints.assistant.agree(asBen(), assistant: 'gone'),
_refused(AssistantRefusal.notGranted),
);
});
test(
"a person's own figures, by month, without anyone else's",
() async {
await grantAndAgree();
await usedBefore(
DateTime.utc(2026, 9, 12),
inputTokens: 10,
outputTokens: 2,
costMicros: 60,
);
await usedBefore(
DateTime.utc(2026, 10, 3),
inputTokens: 100,
outputTokens: 20,
costMicros: 600,
);
await usedBefore(
DateTime.utc(2026, 10, 25),
inputTokens: 50,
outputTokens: 10,
costMicros: 300,
);
await AssistantFigures.db.insertRow(
session,
AssistantFigures(
authUserId: olga,
assistant: 'claude',
day: DateTime.utc(2026, 10, 25),
requests: 9,
inputTokens: 9,
outputTokens: 9,
costMicros: 9,
),
);
final figures = await endpoints.assistant.figures(asBen());
expect(
[
for (final month in figures)
(
month.month,
month.requests,
month.inputTokens,
month.outputTokens,
month.costMicros,
),
],
[
(DateTime.utc(2026, 10), 2, 150, 30, 900),
(DateTime.utc(2026, 9), 1, 10, 2, 60),
],
);
expect(figures.map((month) => month.account), everyElement(ben));
expect(figures.map((month) => month.handle), everyElement(isNull));
},
);
test('are refused to someone not signed in', () async {
await expectLater(
endpoints.assistant.offered(notSignedIn()),
throwsA(isA<ServerpodUnauthenticatedException>()),
);
await expectLater(
endpoints.assistant.agree(notSignedIn(), assistant: 'claude'),
throwsA(isA<ServerpodUnauthenticatedException>()),
);
await expectLater(
endpoints.assistant.figures(notSignedIn()),
throwsA(isA<ServerpodUnauthenticatedException>()),
);
});
});
group("the operator's calls (points 6 and 8, D58)", () {
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
test(
'are refused to anyone but an operator, signed in or not',
() async {
await grantBen();
final calls =
<String, Future<Object?> Function(TestSessionBuilder)>{
'setUp': (as) => endpoints.assistantOperator.setUp(as),
'grantees': (as) => endpoints.assistantOperator.grantees(
as,
startingWith: '',
offset: 0,
),
'granteesOf': (as) => endpoints.assistantOperator.granteesOf(
as,
accounts: [ben],
),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
'grant': (as) => endpoints.assistantOperator.grant(
as,
accounts: [ben],
assistants: ['local'],
budget: _budget(),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
),
'change': (as) => endpoints.assistantOperator.change(
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
as,
account: ben,
assistants: ['local'],
budget: _budget(),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
),
'revoke': (as) =>
endpoints.assistantOperator.revoke(as, account: ben),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
'figures': (as) => endpoints.assistantOperator.figures(
as,
month: DateTime.utc(2026, 10),
),
};
for (final MapEntry(key: name, value: call) in calls.entries) {
await expectLater(
call(asBen()),
throwsA(isA<ServerpodInsufficientAccessException>()),
reason: name,
);
await expectLater(
call(notSignedIn()),
throwsA(isA<ServerpodUnauthenticatedException>()),
reason: name,
);
}
final grants = await AssistantGrant.db.find(session);
expect([for (final grant in grants) grant.assistant], ['claude']);
},
);
test('see the assistants set, without their keys, with their effort '
'and how many people have any', () async {
useAssistants(
pod,
_assistants({
'ASSISTANT_CLAUDE_EFFORT': 'medium',
'ASSISTANT_CLAUDE_MAX_EFFORT': 'high',
}),
);
await grantBen();
await grantBen(assistant: 'local');
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final setUp = await endpoints.assistantOperator.setUp(asOlga());
expect(setUp.currency, 'EUR');
expect(setUp.ownKeys, isFalse);
expect(setUp.people, 1);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final [claude, local] = setUp.assistants;
expect(
(
claude.id,
claude.name,
claude.protocol,
claude.host,
claude.model,
),
(
'claude',
'Claude Sonnet',
'anthropic',
'api.anthropic.com',
'claude-sonnet-5-5',
),
);
expect((claude.priceInput, claude.priceOutput), (3.0, 15.0));
expect(claude.images, isTrue);
expect(
(claude.effort, claude.maxEffort),
(AssistantEffort.medium, AssistantEffort.high),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect((local.protocol, local.host), ('openai', 'ollama'));
expect(local.priceInput, isNull);
expect((local.effort, local.maxEffort), (null, null));
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect(jsonEncode(setUp.toJson()), isNot(contains('sk-ant-test')));
});
test('grant several people several assistants at once, each with the '
'budget set; granted before, the assistants add up, the '
'agreements stay and the budget is the new one', () async {
await endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben, olga],
assistants: ['claude'],
budget: _budget(dailyCost: 10000),
);
await endpoints.assistant.agree(asBen(), assistant: 'claude');
await endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben],
assistants: ['local', 'claude'],
budget: _budget(monthlyCost: 90000, monthlyTokens: 200000),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final grantees = await endpoints.assistantOperator.grantees(
asOlga(),
startingWith: '',
offset: 0,
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final [bens, olgas] = grantees;
expect((bens.account, bens.handle), (ben, 'ben'));
expect(
[for (final each in bens.assistants) each.assistant],
[
'claude',
'local',
],
);
final [claude, local] = bens.assistants;
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect(claude.assistantSet, isTrue);
expect(claude.agreedAt, isNotNull);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect(local.agreedAt, isNull);
expect(_limitsOf(bens.budget), (null, 90000, null, 200000));
expect((olgas.account, olgas.handle), (olga, 'Olga'));
expect(
[for (final each in olgas.assistants) each.assistant],
[
'claude',
],
);
expect(_limitsOf(olgas.budget), (10000, null, null, null));
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
});
test(
"change a person's assistants and budget to exactly those given: "
'the assistants left out go, the agreements of those kept stay',
() async {
await grantAndAgree(budget: _budget(dailyCost: 10000));
await grantBen(assistant: 'local');
await endpoints.assistantOperator.change(
asOlga(),
account: ben,
assistants: ['claude'],
budget: _budget(dailyTokens: 5000),
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final [bens] = await endpoints.assistantOperator.granteesOf(
asOlga(),
accounts: [ben, olga],
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
final claude = bens.assistants.single;
expect(claude.assistant, 'claude');
expect(claude.agreedAt, isNotNull);
expect(_limitsOf(bens.budget), (null, null, 5000, null));
},
);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
test('grantees are found by the start of their handle, whatever its '
'case, by handle, a page at a time, with what they used, those '
'without a grant left out', () async {
final cleo = await newPersonWithAddress(
session,
'cleo@example.org',
handle: 'Cleo',
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
await newPersonWithAddress(
session,
'bert@example.org',
handle: 'bert',
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
await endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben, cleo, olga],
assistants: ['claude'],
budget: _budget(),
);
await usedBefore(
DateTime.utc(2026, 10, 25),
costMicros: 300,
inputTokens: 30,
outputTokens: 5,
);
Future<List<String?>> handles(String start, int offset) async => [
for (final each in await atNow(
() => endpoints.assistantOperator.grantees(
asOlga(),
startingWith: start,
offset: offset,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
),
))
each.handle,
];
expect(await handles('', 0), ['ben', 'Cleo', 'Olga']);
expect(await handles('', 2), ['Olga']);
expect(await handles('B', 0), ['ben']);
expect(await handles('%', 0), isEmpty);
final bens = (await atNow(
() => endpoints.assistantOperator.grantees(
asOlga(),
startingWith: 'ben',
offset: 0,
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
),
)).single;
expect(_useOf(bens.usedToday), (300, 35));
expect(_useOf(bens.usedThisMonth), (300, 35));
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
});
test('a grant of an assistant set no more is shown so (D44)', () async {
await grantBen();
await grantBen(assistant: 'local');
useAssistants(pod, _assistants({'ASSISTANTS': 'claude'}));
final [bens] = await endpoints.assistantOperator.granteesOf(
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
asOlga(),
accounts: [ben],
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
);
final [claude, local] = bens.assistants;
expect(claude.assistantSet, isTrue);
expect((local.assistant, local.assistantSet), ('local', false));
});
test(
'granting and changing are refused for an assistant not set, a '
'limit below 0, and an account unknown, changing nothing',
() async {
final nobody = UuidValue.fromString(
'0193a3d4-5c6e-7f80-9a1b-2c3d4e5f6a7b',
);
await expectLater(
endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben],
assistants: ['claude', 'gpt'],
budget: _budget(),
),
_refusedForOperator(OperatorRefusal.assistantNotSet),
);
for (final budget in [
_budget(dailyCost: -1),
_budget(monthlyCost: -1),
_budget(dailyTokens: -1),
_budget(monthlyTokens: -1),
]) {
await expectLater(
grantBen(budget: budget),
_refusedForOperator(OperatorRefusal.invalidLimit),
);
}
await expectLater(
endpoints.assistantOperator.grant(
asOlga(),
accounts: [ben, nobody],
assistants: ['claude'],
budget: _budget(),
),
_refusedForOperator(OperatorRefusal.notFound),
);
await expectLater(
endpoints.assistantOperator.change(
asOlga(),
account: nobody,
assistants: ['claude'],
budget: _budget(),
),
_refusedForOperator(OperatorRefusal.notFound),
);
await expectLater(
endpoints.assistantOperator.change(
asOlga(),
account: ben,
assistants: ['gpt'],
budget: _budget(),
),
_refusedForOperator(OperatorRefusal.assistantNotSet),
);
expect(await AssistantGrant.db.count(session), 0);
expect(await AssistantBudget.db.count(session), 0);
},
);
test("revoke a person's assistants and budget, which then refuses; "
'a person without any is refused', () async {
await grantAndAgree(budget: _budget(dailyCost: 1000));
await grantBen(assistant: 'local');
await endpoints.assistantOperator.revoke(asOlga(), account: ben);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await expectLater(
askAsBen(_question()),
_refused(AssistantRefusal.notGranted),
);
expect(await AssistantGrant.db.count(session), 0);
expect(await AssistantBudget.db.count(session), 0);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await expectLater(
endpoints.assistantOperator.revoke(asOlga(), account: ben),
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
_refusedForOperator(OperatorRefusal.notFound),
);
});
test("see everyone's figures of a month, per person and assistant, "
'never what was asked', () async {
await usedBefore(DateTime.utc(2026, 10, 3), costMicros: 600);
await usedBefore(DateTime.utc(2026, 10, 25), costMicros: 300);
await usedBefore(DateTime.utc(2026, 9, 30), costMicros: 1);
await usedBefore(
DateTime.utc(2026, 10, 25),
assistant: 'local',
inputTokens: 70,
);
await AssistantFigures.db.insertRow(
session,
AssistantFigures(
authUserId: olga,
assistant: 'claude',
day: DateTime.utc(2026, 10),
requests: 4,
inputTokens: 40,
outputTokens: 4,
costMicros: 180,
),
);
final figures = await endpoints.assistantOperator.figures(
asOlga(),
month: DateTime.utc(2026, 10, 17, 9),
);
expect(
{
for (final row in figures)
(row.handle, row.assistant): (
row.month,
row.requests,
row.inputTokens,
row.costMicros,
),
},
{
('ben', 'claude'): (DateTime.utc(2026, 10), 2, 0, 900),
('ben', 'local'): (DateTime.utc(2026, 10), 1, 70, 0),
('Olga', 'claude'): (DateTime.utc(2026, 10), 4, 40, 180),
},
);
});
});
group('the figures (D41)', () {
test('are kept for the UTC month and the two before it, the older '
'days forgotten daily', () async {
await usedBefore(DateTime.utc(2026, 7, 31));
await usedBefore(DateTime.utc(2026, 8));
await usedBefore(DateTime.utc(2026, 10, 25));
final forgotten = await forgetOldAssistantFigures(session, now: _now);
expect(forgotten, 1);
expect(
[for (final day in await figuresOfBen()) day.day],
[DateTime.utc(2026, 8), DateTime.utc(2026, 10, 25)],
);
});
test('go with the person, as do their grants and budget', () async {
await grantAndAgree(budget: _budget(dailyCost: 1000));
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await usedBefore(DateTime.utc(2026, 10, 25));
await deletePerson(session, ben);
expect(await AssistantGrant.db.count(session), 0);
expect(await AssistantBudget.db.count(session), 0);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
expect(await AssistantFigures.db.count(session), 0);
});
});
},
);
}
/// A provider whose one answer the test writes as it goes.
final class _HeldClient implements LlmClient {
final _events = StreamController<LlmEvent>();
final _text = StringBuffer();
final sentOnce = Completer<void>();
bool _finished = false;
/// Whether the answer was cancelled before it ended.
bool cancelled = false;
void add(LlmTextDelta delta) {
_text.write(delta.text);
_events.add(delta);
}
void finish(LlmUsage usage) {
_events.add(
LlmFinished(
message: LlmMessage.assistant([LlmText(_text.toString())]),
stop: LlmStop.end,
usage: usage,
),
);
_finished = true;
unawaited(_events.close());
}
@override
Stream<LlmEvent> send(LlmEndpoint endpoint, LlmRequest request) {
// Called as the stream ends, too.
_events.onCancel = () => cancelled = !_finished;
sentOnce.complete();
return _events.stream;
}
@override
void close() {}
}
/// Providers answering one request each, in turn.
final class _Clients implements LlmClient {
_Clients(this._clients);
final List<_HeldClient> _clients;
int sent = 0;
Future<void> get allSent =>
Future.wait([for (final client in _clients) client.sentOnce.future]);
@override
Stream<LlmEvent> send(LlmEndpoint endpoint, LlmRequest request) =>
_clients[sent++].send(endpoint, request);
@override
void close() {}
}
Future<void> _deleteAll(Session session) async {
await AssistantGrant.db.deleteWhere(session, where: (t) => t.id > 0);
await AssistantBudget.db.deleteWhere(session, where: (t) => t.id > 0);
feat(base,learn,todo): the operator's assistants, and the instance's privacy page (ADR 0021, step 2) The server half of the assistants (points 4 to 8, D27 to D46): the operator sets language models in deploy/assistants.env, grants them to people with limits, and the module forwards their questions with the operator's key, counting what each used, never what was asked. - assistantsFrom: ASSISTANTS, ASSISTANT_ID_KEY, ASSISTANT_<ID>_NAME, _PROTOCOL (anthropic, openai, openai-responses), _BASE_URL, _MODEL, _KEY, _IMAGES, _PRICE_INPUT and _PRICE_OUTPUT (per million tokens), ASSISTANT_CURRENCY, ASSISTANT_OWN_KEYS; anything unusable stops the server as it starts, naming the variable. - The assistant endpoint (identified): offered, agree (D40), ask as a Serverpod stream (D35): the text as the model writes it, then the whole turn, sent once the request is counted; figures, the caller's own. Checked in order: at most 2 questions on their way per person (tooManyAtOnce), the grant, the agreement, limits in the pricing's unit now (limitOutdated), the month's and the day's limits (with when they reset, UTC), the question (malformed, imagesNotRead, tooLarge past 400,000 characters, an image over 3,932,160 bytes or more than 20 images); output capped at 16,384 tokens. Each request carries the person's opaque ID (HMAC-SHA256 under ASSISTANT_ID_KEY, D30). Once sent, the provider's reply is read to its end even if the app cancels, and counted on a session of its own; a provider's failure is logged by kind and status, told as providerKey, providerBusy (with its wait), providerRefused or providerFailed. - The assistantOperator endpoint (identified and operator, on the register): setUp, grants, grant (assistantNotSet, invalidLimit, notFound), revoke, figures of a UTC month. - Tables assistant_grant and assistant_figures (per person, assistant and UTC day), in the module's, Learn's and Todo's migrations. The daily pruning keeps this month and the two before (forgetOldAssistantFigures, D41); deletePerson deletes both. A member offers no assistant (D43). - instance.basics() gains assistantOwnKeys. - /privacy (D39, addPrivacyPageRoute, on the register's web server, before the profile pages' route): made from the instance's settings, English or German, no JavaScript: who may sign up, where the data and backups are, what the module keeps (the account, sessions, IP addresses, the server's log), the host's privacyPagePoints (Learn's: studysets synced, private ones encrypted on the devices with what stays readable, what is published, dictionary lookups, the learner count), each assistant with its model and host, what goes and what is counted, and whether personal keys are allowed. Never a key. Tests: 70 on the assistants (grants, limits, refusals in order, streaming, cancelling, counting, concurrency, the operator's denials, deletion, pruning), 19 on the settings, 8 on the privacy page. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-25 18:07:01 +01:00
await AssistantFigures.db.deleteWhere(session, where: (t) => t.id > 0);
await deleteAll(session);
}
extension on Map<String, String> {
String? get(String name) => this[name];
}