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Code Issues Packages Projects Releases Wiki Activity

Support model as string[] in custom agent definitions (#289655)

Browse Source 
* Initial plan

* Support model as string or string[] in custom agents

- Updated ICustomAgent.model to support string | string[] | undefined
- Updated IChatModeData.model and IChatMode.model accordingly
- Added getStringOrStringArrayAttribute method in PromptHeader
- Updated validateModel in promptValidator to handle both string and array types
- Added comprehensive tests for model array validation

Co-authored-by: aeschli <6461412+aeschli@users.noreply.github.com>

* Support model as string or string[] in custom agents - verified

- All code compiles successfully with 0 errors
- Tests verified to compile and be comprehensive
- Backward compatible with single string models
- Type-safe implementation with proper validation

Co-authored-by: aeschli <6461412+aeschli@users.noreply.github.com>

* Fix: Include empty strings in model array parsing

- Updated getStringOrStringArrayAttribute to include empty strings
- Allows downstream validation to catch empty string errors
- Addresses code review feedback

Co-authored-by: aeschli <6461412+aeschli@users.noreply.github.com>

* Fix: Update model validation in isCachedChatModeData to allow arrays

- Modified isCachedChatModeData to validate model as string | string[]
- Fixes test failures related to cached mode data validation
- All chat tests now passing

Co-authored-by: aeschli <6461412+aeschli@users.noreply.github.com>

* update

* add lookupLanguageModelByQualifiedName

* fix completion and hover

* Update src/vs/workbench/contrib/chat/common/languageModels.ts

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* fix test

* update

* update

* fix

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: aeschli <6461412+aeschli@users.noreply.github.com>
Co-authored-by: Martin Aeschlimann <martinae@microsoft.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Copilot
2026-01-26 14:51:26 +00:00
committed by GitHub
parent 88868e5c29
commit 4de5008c32
18 changed files with 341 additions and 79 deletions
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21
src/vs/workbench/contrib/chat/browser/widget/input/chatInputPart.ts
View File

@@ -624,9 +624,9 @@ export class ChatInputPart extends Disposable implements IHistoryNavigationWidge
this._register(autorun(r => {
const mode = this._currentModeObservable.read(r);
this.chatModeKindKey.set(mode.kind);
const model = mode.model?.read(r);
if (model) {
this.switchModelByQualifiedName(model);
const models = mode.model?.read(r);
if (models) {
this.switchModelByQualifiedName(models);
}
}));
@@ -722,17 +722,20 @@ export class ChatInputPart extends Disposable implements IHistoryNavigationWidge
}
}
public switchModelByQualifiedName(qualifiedModelName: string): boolean {
public switchModelByQualifiedName(qualifiedModelNames: readonly string[]): boolean {
const models = this.getModels();
const model = models.find(m => ILanguageModelChatMetadata.matchesQualifiedName(qualifiedModelName, m.metadata));
if (model) {
this.setCurrentLanguageModel(model);
return true;
for (const qualifiedModelName of qualifiedModelNames) {
const model = models.find(m => ILanguageModelChatMetadata.matchesQualifiedName(qualifiedModelName, m.metadata));
if (model) {
this.setCurrentLanguageModel(model);
return true;
}
}
this.logService.warn(`[chat] Model "${qualifiedModelName}" not found. Use format "<name> (<vendor>)", e.g. "GPT-4o (copilot)".`);
this.logService.warn(`[chat] Node of the models "${qualifiedModelNames.join(', ')}" not found. Use format "<name> (<vendor>)", e.g. "GPT-4o (copilot)".`);
return false;
}
public switchToNextModel(): void {
const models = this.getModels();
if (models.length > 0) {

13
src/vs/workbench/contrib/chat/common/chatModes.ts
View File

@@ -23,6 +23,7 @@ import { IHandOff } from './promptSyntax/promptFileParser.js';
import { ExtensionAgentSourceType, IAgentSource, ICustomAgent, IPromptsService, PromptsStorage } from './promptSyntax/service/promptsService.js';
import { ThemeIcon } from '../../../../base/common/themables.js';
import { Codicon } from '../../../../base/common/codicons.js';
import { isString } from '../../../../base/common/types.js';
export const IChatModeService = createDecorator<IChatModeService>('chatModeService');
export interface IChatModeService {
@@ -116,7 +117,7 @@ export class ChatModeService extends Disposable implements IChatModeService {
name: cachedMode.name,
description: cachedMode.description,
tools: cachedMode.customTools,
model: cachedMode.model,
model: isString(cachedMode.model) ? [cachedMode.model] : cachedMode.model,
argumentHint: cachedMode.argumentHint,
agentInstructions: cachedMode.modeInstructions ?? { content: cachedMode.body ?? '', toolReferences: [] },
handOffs: cachedMode.handOffs,
@@ -236,7 +237,7 @@ export interface IChatModeData {
readonly description?: string;
readonly kind: ChatModeKind;
readonly customTools?: readonly string[];
readonly model?: string;
readonly model?: readonly string[] | string;
readonly argumentHint?: string;
readonly modeInstructions?: IChatModeInstructions;
readonly body?: string; /* deprecated */
@@ -258,7 +259,7 @@ export interface IChatMode {
readonly kind: ChatModeKind;
readonly customTools?: IObservable<readonly string[] | undefined>;
readonly handOffs?: IObservable<readonly IHandOff[] | undefined>;
readonly model?: IObservable<string | undefined>;
readonly model?: IObservable<readonly string[] | undefined>;
readonly argumentHint?: IObservable<string | undefined>;
readonly modeInstructions?: IObservable<IChatModeInstructions>;
readonly uri?: IObservable<URI>;
@@ -291,7 +292,7 @@ function isCachedChatModeData(data: unknown): data is IChatModeData {
(mode.description === undefined || typeof mode.description === 'string') &&
(mode.customTools === undefined || Array.isArray(mode.customTools)) &&
(mode.modeInstructions === undefined || (typeof mode.modeInstructions === 'object' && mode.modeInstructions !== null)) &&
(mode.model === undefined || typeof mode.model === 'string') &&
(mode.model === undefined || typeof mode.model === 'string' || Array.isArray(mode.model)) &&
(mode.argumentHint === undefined || typeof mode.argumentHint === 'string') &&
(mode.handOffs === undefined || Array.isArray(mode.handOffs)) &&
(mode.uri === undefined || (typeof mode.uri === 'object' && mode.uri !== null)) &&
@@ -307,7 +308,7 @@ export class CustomChatMode implements IChatMode {
private readonly _customToolsObservable: ISettableObservable<readonly string[] | undefined>;
private readonly _modeInstructions: ISettableObservable<IChatModeInstructions>;
private readonly _uriObservable: ISettableObservable<URI>;
private readonly _modelObservable: ISettableObservable<string | undefined>;
private readonly _modelObservable: ISettableObservable<readonly string[] | undefined>;
private readonly _argumentHintObservable: ISettableObservable<string | undefined>;
private readonly _handoffsObservable: ISettableObservable<readonly IHandOff[] | undefined>;
private readonly _targetObservable: ISettableObservable<string | undefined>;
@@ -337,7 +338,7 @@ export class CustomChatMode implements IChatMode {
return this._customToolsObservable;
}
get model(): IObservable<string | undefined> {
get model(): IObservable<readonly string[] | undefined> {
return this._modelObservable;
}

14
src/vs/workbench/contrib/chat/common/languageModels.ts
View File

@@ -297,6 +297,11 @@ export interface ILanguageModelsService {
lookupLanguageModel(modelId: string): ILanguageModelChatMetadata | undefined;
/**
* Find a model by its qualified name. The qualified name is what is used in prompt and agent files and is in the format "Model Name (Vendor)".
*/
lookupLanguageModelByQualifiedName(qualifiedName: string): ILanguageModelChatMetadata | undefined;
getLanguageModelGroups(vendor: string): ILanguageModelsGroup[];
/**
@@ -637,6 +642,15 @@ export class LanguageModelsService implements ILanguageModelsService {
return model;
}
lookupLanguageModelByQualifiedName(referenceName: string): ILanguageModelChatMetadata | undefined {
for (const model of this._modelCache.values()) {
if (ILanguageModelChatMetadata.matchesQualifiedName(referenceName, model)) {
return model;
}
}
return undefined;
}
private async _resolveAllLanguageModels(vendorId: string, silent: boolean): Promise<void> {
const vendor = this._vendors.get(vendorId);

7
src/vs/workbench/contrib/chat/common/promptSyntax/languageProviders/promptHeaderAutocompletion.ts
View File

@@ -158,6 +158,13 @@ export class PromptHeaderAutocompletion implements CompletionItemProvider {
}
if (promptType === PromptsType.prompt || promptType === PromptsType.agent) {
if (attribute.key === PromptHeaderAttributes.model) {
if (attribute.value.type === 'array') {
// if the position is inside the tools metadata, we provide tool name completions
const getValues = async () => this.getModelNames(promptType === PromptsType.agent);
return this.provideArrayCompletions(model, position, attribute, getValues);
}
}
if (attribute.key === PromptHeaderAttributes.tools) {
if (attribute.value.type === 'array') {
// if the position is inside the tools metadata, we provide tool name completions

48
src/vs/workbench/contrib/chat/common/promptSyntax/languageProviders/promptHovers.ts
View File

@@ -10,7 +10,7 @@ import { Range } from '../../../../../../editor/common/core/range.js';
import { Hover, HoverContext, HoverProvider } from '../../../../../../editor/common/languages.js';
import { ITextModel } from '../../../../../../editor/common/model.js';
import { localize } from '../../../../../../nls.js';
import { ILanguageModelChatMetadata, ILanguageModelsService } from '../../languageModels.js';
import { ILanguageModelsService } from '../../languageModels.js';
import { ILanguageModelToolsService, isToolSet, IToolSet } from '../../tools/languageModelToolsService.js';
import { IChatModeService, isBuiltinChatMode } from '../../chatModes.js';
import { getPromptsTypeForLanguageId, PromptsType } from '../promptTypes.js';
@@ -106,7 +106,7 @@ export class PromptHoverProvider implements HoverProvider {
case PromptHeaderAttributes.argumentHint:
return this.createHover(localize('promptHeader.agent.argumentHint', 'The argument-hint describes what inputs the custom agent expects or supports.'), attribute.range);
case PromptHeaderAttributes.model:
return this.getModelHover(attribute, attribute.range, localize('promptHeader.agent.model', 'Specify the model that runs this custom agent.'), isGithubTarget(promptType, header.target));
return this.getModelHover(attribute, position, localize('promptHeader.agent.model', 'Specify the model that runs this custom agent. Can also be a list of models. The first available model will be used.'), isGithubTarget(promptType, header.target));
case PromptHeaderAttributes.tools:
return this.getToolHover(attribute, position, localize('promptHeader.agent.tools', 'The set of tools that the custom agent has access to.'));
case PromptHeaderAttributes.handOffs:
@@ -132,7 +132,7 @@ export class PromptHoverProvider implements HoverProvider {
case PromptHeaderAttributes.argumentHint:
return this.createHover(localize('promptHeader.prompt.argumentHint', 'The argument-hint describes what inputs the prompt expects or supports.'), attribute.range);
case PromptHeaderAttributes.model:
return this.getModelHover(attribute, attribute.range, localize('promptHeader.prompt.model', 'The model to use in this prompt.'), false);
return this.getModelHover(attribute, position, localize('promptHeader.prompt.model', 'The model to use in this prompt. Can also be a list of models. The first available model will be used.'), false);
case PromptHeaderAttributes.tools:
return this.getToolHover(attribute, position, localize('promptHeader.prompt.tools', 'The tools to use in this prompt.'));
case PromptHeaderAttributes.agent:
@@ -184,27 +184,41 @@ export class PromptHoverProvider implements HoverProvider {
return this.createHover(lines.join('\n'), range);
}
private getModelHover(node: IHeaderAttribute, range: Range, baseMessage: string, isGitHubTarget: boolean): Hover | undefined {
private getModelHover(node: IHeaderAttribute, position: Position, baseMessage: string, isGitHubTarget: boolean): Hover | undefined {
if (isGitHubTarget) {
return this.createHover(baseMessage + '\n\n' + localize('promptHeader.agent.model.githubCopilot', 'Note: This attribute is not used when target is github-copilot.'), range);
return this.createHover(baseMessage + '\n\n' + localize('promptHeader.agent.model.githubCopilot', 'Note: This attribute is not used when target is github-copilot.'), node.range);
}
const modelHoverContent = (modelName: string): Hover | undefined => {
const meta = this.languageModelsService.lookupLanguageModelByQualifiedName(modelName);
if (meta) {
const lines: string[] = [];
lines.push(baseMessage + '\n');
lines.push(localize('modelName', '- Name: {0}', meta.name));
lines.push(localize('modelFamily', '- Family: {0}', meta.family));
lines.push(localize('modelVendor', '- Vendor: {0}', meta.vendor));
if (meta.tooltip) {
lines.push('', '', meta.tooltip);
}
return this.createHover(lines.join('\n'), node.range);
}
return undefined;
};
if (node.value.type === 'string') {
for (const id of this.languageModelsService.getLanguageModelIds()) {
const meta = this.languageModelsService.lookupLanguageModel(id);
if (meta && ILanguageModelChatMetadata.matchesQualifiedName(node.value.value, meta)) {
const lines: string[] = [];
lines.push(baseMessage + '\n');
lines.push(localize('modelName', '- Name: {0}', meta.name));
lines.push(localize('modelFamily', '- Family: {0}', meta.family));
lines.push(localize('modelVendor', '- Vendor: {0}', meta.vendor));
if (meta.tooltip) {
lines.push('', '', meta.tooltip);
const hover = modelHoverContent(node.value.value);
if (hover) {
return hover;
}
} else if (node.value.type === 'array') {
for (const item of node.value.items) {
if (item.type === 'string' && item.range.containsPosition(position)) {
const hover = modelHoverContent(item.value);
if (hover) {
return hover;
}
return this.createHover(lines.join('\n'), range);
}
}
}
return this.createHover(baseMessage, range);
return this.createHover(baseMessage, node.range);
}
private getAgentHover(agentAttribute: IHeaderAttribute, position: Position): Hover | undefined {

62
src/vs/workbench/contrib/chat/common/promptSyntax/languageProviders/promptValidator.ts
View File

@@ -282,36 +282,58 @@ export class PromptValidator {
if (!attribute) {
return;
}
if (attribute.value.type !== 'string') {
report(toMarker(localize('promptValidator.modelMustBeString', "The 'model' attribute must be a string."), attribute.value.range, MarkerSeverity.Error));
return;
}
const modelName = attribute.value.value.trim();
if (modelName.length === 0) {
report(toMarker(localize('promptValidator.modelMustBeNonEmpty', "The 'model' attribute must be a non-empty string."), attribute.value.range, MarkerSeverity.Error));
if (attribute.value.type !== 'string' && attribute.value.type !== 'array') {
report(toMarker(localize('promptValidator.modelMustBeStringOrArray', "The 'model' attribute must be a string or an array of strings."), attribute.value.range, MarkerSeverity.Error));
return;
}
const languageModes = this.languageModelsService.getLanguageModelIds();
if (languageModes.length === 0) {
const modelNames: [string, Range][] = [];
if (attribute.value.type === 'string') {
const modelName = attribute.value.value.trim();
if (modelName.length === 0) {
report(toMarker(localize('promptValidator.modelMustBeNonEmpty', "The 'model' attribute must be a non-empty string."), attribute.value.range, MarkerSeverity.Error));
return;
}
modelNames.push([modelName, attribute.value.range]);
} else if (attribute.value.type === 'array') {
if (attribute.value.items.length === 0) {
report(toMarker(localize('promptValidator.modelArrayMustNotBeEmpty', "The 'model' array must not be empty."), attribute.value.range, MarkerSeverity.Error));
return;
}
for (const item of attribute.value.items) {
if (item.type !== 'string') {
report(toMarker(localize('promptValidator.modelArrayMustContainStrings', "The 'model' array must contain only strings."), item.range, MarkerSeverity.Error));
return;
}
const modelName = item.value.trim();
if (modelName.length === 0) {
report(toMarker(localize('promptValidator.modelArrayItemMustBeNonEmpty', "Model names in the array must be non-empty strings."), item.range, MarkerSeverity.Error));
return;
}
modelNames.push([modelName, item.range]);
}
}
const languageModels = this.languageModelsService.getLanguageModelIds();
if (languageModels.length === 0) {
// likely the service is not initialized yet
return;
}
const modelMetadata = this.findModelByName(languageModes, modelName);
if (!modelMetadata) {
report(toMarker(localize('promptValidator.modelNotFound', "Unknown model '{0}'.", modelName), attribute.value.range, MarkerSeverity.Warning));
} else if (agentKind === ChatModeKind.Agent && !ILanguageModelChatMetadata.suitableForAgentMode(modelMetadata)) {
report(toMarker(localize('promptValidator.modelNotSuited', "Model '{0}' is not suited for agent mode.", modelName), attribute.value.range, MarkerSeverity.Warning));
for (const [modelName, range] of modelNames) {
const modelMetadata = this.findModelByName(modelName);
if (!modelMetadata) {
report(toMarker(localize('promptValidator.modelNotFound', "Unknown model '{0}'.", modelName), range, MarkerSeverity.Warning));
} else if (agentKind === ChatModeKind.Agent && !ILanguageModelChatMetadata.suitableForAgentMode(modelMetadata)) {
report(toMarker(localize('promptValidator.modelNotSuited', "Model '{0}' is not suited for agent mode.", modelName), range, MarkerSeverity.Warning));
}
}
}
private findModelByName(languageModes: string[], modelName: string): ILanguageModelChatMetadata | undefined {
for (const model of languageModes) {
const metadata = this.languageModelsService.lookupLanguageModel(model);
if (metadata && metadata.isUserSelectable !== false && ILanguageModelChatMetadata.matchesQualifiedName(modelName, metadata)) {
return metadata;
}
private findModelByName(modelName: string): ILanguageModelChatMetadata | undefined {
const metadata = this.languageModelsService.lookupLanguageModelByQualifiedName(modelName);
if (metadata && metadata.isUserSelectable !== false) {
return metadata;
}
return undefined;
}

24
src/vs/workbench/contrib/chat/common/promptSyntax/promptFileParser.ts
View File

@@ -184,8 +184,8 @@ export class PromptHeader {
return this.getStringAttribute(PromptHeaderAttributes.agent) ?? this.getStringAttribute(PromptHeaderAttributes.mode);
}
public get model(): string | undefined {
return this.getStringAttribute(PromptHeaderAttributes.model);
public get model(): readonly string[] | undefined {
return this.getStringOrStringArrayAttribute(PromptHeaderAttributes.model);
}
public get applyTo(): string | undefined {
@@ -294,6 +294,26 @@ export class PromptHeader {
return undefined;
}
private getStringOrStringArrayAttribute(key: string): readonly string[] | undefined {
const attribute = this._parsedHeader.attributes.find(attr => attr.key === key);
if (!attribute) {
return undefined;
}
if (attribute.value.type === 'string') {
return [attribute.value.value];
}
if (attribute.value.type === 'array') {
const result: string[] = [];
for (const item of attribute.value.items) {
if (item.type === 'string') {
result.push(item.value);
}
}
return result;
}
return undefined;
}
public get agents(): string[] | undefined {
return this.getStringArrayAttribute(PromptHeaderAttributes.agents);
}

2
src/vs/workbench/contrib/chat/common/promptSyntax/service/promptsService.ts
View File

@@ -139,7 +139,7 @@ export interface ICustomAgent {
/**
* Model metadata in the prompt header.
*/
readonly model?: string;
readonly model?: readonly string[];
/**
* Argument hint metadata in the prompt header that describes what inputs the agent expects or supports.

17
src/vs/workbench/contrib/chat/common/tools/builtinTools/runSubagentTool.ts
View File

@@ -21,7 +21,7 @@ import { ChatMode, IChatMode, IChatModeService } from '../../chatModes.js';
import { IChatProgress, IChatService } from '../../chatService/chatService.js';
import { ChatRequestVariableSet } from '../../attachments/chatVariableEntries.js';
import { ChatAgentLocation, ChatConfiguration, ChatModeKind } from '../../constants.js';
import { ILanguageModelChatMetadata, ILanguageModelsService } from '../../languageModels.js';
import { ILanguageModelsService } from '../../languageModels.js';
import {
CountTokensCallback,
ILanguageModelToolsService,
@@ -146,14 +146,13 @@ export class RunSubagentTool extends Disposable implements IToolImpl {
mode = this.chatModeService.findModeByName(args.agentName);
if (mode) {
// Use mode-specific model if available
const modeModelQualifiedName = mode.model?.get();
if (modeModelQualifiedName) {
// Find the actual model identifier from the qualified name
const modelIds = this.languageModelsService.getLanguageModelIds();
for (const modelId of modelIds) {
const metadata = this.languageModelsService.lookupLanguageModel(modelId);
if (metadata && ILanguageModelChatMetadata.matchesQualifiedName(modeModelQualifiedName, metadata)) {
modeModelId = modelId;
const modeModelQualifiedNames = mode.model?.get();
if (modeModelQualifiedNames) {
// Find the actual model identifier from the qualified name(s)
for (const qualifiedName of modeModelQualifiedNames) {
const metadata = this.languageModelsService.lookupLanguageModelByQualifiedName(qualifiedName);
if (metadata) {
modeModelId = metadata.id;
break;
}
}

9
src/vs/workbench/contrib/chat/test/browser/chatManagement/chatModelsViewModel.test.ts
View File

@@ -82,6 +82,15 @@ class MockLanguageModelsService implements ILanguageModelsService {
return this.models.get(identifier);
}
lookupLanguageModelByQualifiedName(referenceName: string): ILanguageModelChatMetadata | undefined {
for (const metadata of this.models.values()) {
if (ILanguageModelChatMetadata.matchesQualifiedName(referenceName, metadata)) {
return metadata;
}
}
return undefined;
}
getLanguageModels(): ILanguageModelChatMetadataAndIdentifier[] {
const result: ILanguageModelChatMetadataAndIdentifier[] = [];
for (const [identifier, metadata] of this.models.entries()) {

32
src/vs/workbench/contrib/chat/test/browser/promptSyntax/languageProviders/promptHeaderAutocompletion.test.ts
View File

@@ -178,6 +178,38 @@ suite('PromptHeaderAutocompletion', () => {
]);
});
test('complete model names inside model array', async () => {
const content = [
'---',
'description: "Test"',
'model: [|]',
'---',
].join('\n');
const actual = await getCompletions(content, PromptsType.agent);
// GPT 4 is excluded because it has agentMode: false
assert.deepStrictEqual(actual.sort(sortByLabel), [
{ label: 'MAE 4 (olama)', result: `model: ['MAE 4 (olama)']` },
{ label: 'MAE 4.1 (copilot)', result: `model: ['MAE 4.1 (copilot)']` },
].sort(sortByLabel));
});
test('complete model names inside model array with existing entries', async () => {
const content = [
'---',
'description: "Test"',
`model: ['MAE 4 (olama)', |]`,
'---',
].join('\n');
const actual = await getCompletions(content, PromptsType.agent);
// GPT 4 is excluded because it has agentMode: false
assert.deepStrictEqual(actual.sort(sortByLabel), [
{ label: 'MAE 4 (olama)', result: `model: ['MAE 4 (olama)', 'MAE 4 (olama)']` },
{ label: 'MAE 4.1 (copilot)', result: `model: ['MAE 4 (olama)', 'MAE 4.1 (copilot)']` },
].sort(sortByLabel));
});
test('complete tool names inside tools array', async () => {
const content = [
'---',

53
src/vs/workbench/contrib/chat/test/browser/promptSyntax/languageProviders/promptHovers.test.ts
View File

@@ -59,8 +59,13 @@ suite('PromptHoverProvider', () => {
instaService.stub(ILanguageModelsService, {
getLanguageModelIds() { return testModels.map(m => m.id); },
lookupLanguageModel(name: string) {
return testModels.find(m => m.id === name);
lookupLanguageModelByQualifiedName(qualifiedName: string) {
for (const metadata of testModels) {
if (ILanguageModelChatMetadata.matchesQualifiedName(qualifiedName, metadata)) {
return metadata;
}
}
return undefined;
}
});
@@ -121,7 +126,7 @@ suite('PromptHoverProvider', () => {
].join('\n');
const hover = await getHover(content, 4, 1, PromptsType.agent);
const expected = [
'Specify the model that runs this custom agent.',
'Specify the model that runs this custom agent. Can also be a list of models. The first available model will be used.',
'',
'Note: This attribute is not used when target is github-copilot.'
].join('\n');
@@ -138,7 +143,7 @@ suite('PromptHoverProvider', () => {
].join('\n');
const hover = await getHover(content, 4, 1, PromptsType.agent);
const expected = [
'Specify the model that runs this custom agent.',
'Specify the model that runs this custom agent. Can also be a list of models. The first available model will be used.',
'',
'- Name: MAE 4',
'- Family: mae',
@@ -229,6 +234,44 @@ suite('PromptHoverProvider', () => {
assert.strictEqual(hover, 'Test Tool 1');
});
test('hover on model attribute with vscode target and model array', async () => {
const content = [
'---',
'description: "Test"',
'target: vscode',
`model: ['MAE 4 (olama)', 'MAE 4.1 (copilot)']`,
'---',
].join('\n');
const hover = await getHover(content, 4, 10, PromptsType.agent);
const expected = [
'Specify the model that runs this custom agent. Can also be a list of models. The first available model will be used.',
'',
'- Name: MAE 4',
'- Family: mae',
'- Vendor: olama'
].join('\n');
assert.strictEqual(hover, expected);
});
test('hover on second model in model array', async () => {
const content = [
'---',
'description: "Test"',
'target: vscode',
`model: ['MAE 4 (olama)', 'MAE 4.1 (copilot)']`,
'---',
].join('\n');
const hover = await getHover(content, 4, 30, PromptsType.agent);
const expected = [
'Specify the model that runs this custom agent. Can also be a list of models. The first available model will be used.',
'',
'- Name: MAE 4.1',
'- Family: mae',
'- Vendor: copilot'
].join('\n');
assert.strictEqual(hover, expected);
});
test('hover on description attribute', async () => {
const content = [
'---',
@@ -298,7 +341,7 @@ suite('PromptHoverProvider', () => {
].join('\n');
const hover = await getHover(content, 3, 1, PromptsType.prompt);
const expected = [
'The model to use in this prompt.',
'The model to use in this prompt. Can also be a list of models. The first available model will be used.',
'',
'- Name: MAE 4',
'- Family: mae',

98
src/vs/workbench/contrib/chat/test/browser/promptSyntax/languageProviders/promptValidator.test.ts
View File

@@ -119,8 +119,13 @@ suite('PromptValidator', () => {
instaService.stub(ILanguageModelsService, {
getLanguageModelIds() { return testModels.map(m => m.id); },
lookupLanguageModel(name: string) {
return testModels.find(m => m.id === name);
lookupLanguageModelByQualifiedName(qualifiedName: string) {
for (const metadata of testModels) {
if (ILanguageModelChatMetadata.matchesQualifiedName(qualifiedName, metadata)) {
return metadata;
}
}
return undefined;
}
});
@@ -199,6 +204,95 @@ suite('PromptValidator', () => {
assert.deepStrictEqual(markers.map(m => m.message), [`The 'tools' attribute must be an array.`]);
});
test('model as string array - valid', async () => {
const content = [
'---',
'description: "Test with model array"',
`model: ['MAE 4 (olama)', 'MAE 4.1']`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.deepStrictEqual(markers, []);
});
test('model as string array - unknown model', async () => {
const content = [
'---',
'description: "Test with model array"',
`model: ['MAE 4 (olama)', 'Unknown Model']`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.strictEqual(markers.length, 1);
assert.strictEqual(markers[0].severity, MarkerSeverity.Warning);
assert.strictEqual(markers[0].message, `Unknown model 'Unknown Model'.`);
});
test('model as string array - unsuitable model', async () => {
const content = [
'---',
'description: "Test with model array"',
`model: ['MAE 4 (olama)', 'MAE 3.5 Turbo']`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.strictEqual(markers.length, 1);
assert.strictEqual(markers[0].severity, MarkerSeverity.Warning);
assert.strictEqual(markers[0].message, `Model 'MAE 3.5 Turbo' is not suited for agent mode.`);
});
test('model as string array - empty array', async () => {
const content = [
'---',
'description: "Test with empty model array"',
`model: []`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.strictEqual(markers.length, 1);
assert.strictEqual(markers[0].severity, MarkerSeverity.Error);
assert.strictEqual(markers[0].message, `The 'model' array must not be empty.`);
});
test('model as string array - non-string item', async () => {
const content = [
'---',
'description: "Test with invalid model array"',
`model: ['MAE 4 (olama)', 123]`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.strictEqual(markers.length, 1);
assert.strictEqual(markers[0].severity, MarkerSeverity.Error);
assert.strictEqual(markers[0].message, `The 'model' array must contain only strings.`);
});
test('model as string array - empty string item', async () => {
const content = [
'---',
'description: "Test with empty string in model array"',
`model: ['MAE 4 (olama)', '']`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.strictEqual(markers.length, 1);
assert.strictEqual(markers[0].severity, MarkerSeverity.Error);
assert.strictEqual(markers[0].message, `Model names in the array must be non-empty strings.`);
});
test('model as invalid type', async () => {
const content = [
'---',
'description: "Test with invalid model type"',
`model: 123`,
'---',
].join('\n');
const markers = await validate(content, PromptsType.agent);
assert.strictEqual(markers.length, 1);
assert.strictEqual(markers[0].severity, MarkerSeverity.Error);
assert.strictEqual(markers[0].message, `The 'model' attribute must be a string or an array of strings.`);
});
test('each tool must be string', async () => {
const content = [
'---',

6
src/vs/workbench/contrib/chat/test/common/chatModeService.test.ts
View File

@@ -195,7 +195,7 @@ suite('ChatModeService', () => {
description: 'Initial description',
tools: ['tool1'],
agentInstructions: { content: 'Initial body', toolReferences: [] },
model: 'gpt-4',
model: ['gpt-4'],
source: workspaceSource,
};
@@ -212,7 +212,7 @@ suite('ChatModeService', () => {
description: 'Updated description',
tools: ['tool1', 'tool2'],
agentInstructions: { content: 'Updated body', toolReferences: [] },
model: 'Updated model'
model: ['Updated model']
};
promptsService.setCustomModes([updatedMode]);
@@ -228,7 +228,7 @@ suite('ChatModeService', () => {
assert.strictEqual(updatedCustomMode.description.get(), 'Updated description');
assert.deepStrictEqual(updatedCustomMode.customTools?.get(), ['tool1', 'tool2']);
assert.deepStrictEqual(updatedCustomMode.modeInstructions?.get(), { content: 'Updated body', toolReferences: [] });
assert.strictEqual(updatedCustomMode.model?.get(), 'Updated model');
assert.deepStrictEqual(updatedCustomMode.model?.get(), ['Updated model']);
assert.deepStrictEqual(updatedCustomMode.source, workspaceSource);
});

4
src/vs/workbench/contrib/chat/test/common/languageModels.ts
View File

@@ -40,6 +40,10 @@ export class NullLanguageModelsService implements ILanguageModelsService {
return undefined;
}
lookupLanguageModelByQualifiedName(qualifiedName: string) {
return undefined;
}
getLanguageModels(): ILanguageModelChatMetadataAndIdentifier[] {
return [];
}

6
src/vs/workbench/contrib/chat/test/common/promptSyntax/service/newPromptsParser.test.ts
View File

@@ -53,7 +53,7 @@ suite('NewPromptsParser', () => {
{ range: new Range(7, 79, 7, 85), name: 'tool-2', offset: 170 }
]);
assert.deepEqual(result.header.description, 'Agent test');
assert.deepEqual(result.header.model, 'GPT 4.1');
assert.deepEqual(result.header.model, ['GPT 4.1']);
assert.ok(result.header.tools);
assert.deepEqual(result.header.tools, ['tool1', 'tool2']);
});
@@ -110,7 +110,7 @@ suite('NewPromptsParser', () => {
},
]);
assert.deepEqual(result.header.description, 'Agent test');
assert.deepEqual(result.header.model, 'GPT 4.1');
assert.deepEqual(result.header.model, ['GPT 4.1']);
assert.ok(result.header.handOffs);
assert.deepEqual(result.header.handOffs, [
{ label: 'Implement', agent: 'Default', prompt: 'Implement the plan', send: false },
@@ -234,7 +234,7 @@ suite('NewPromptsParser', () => {
]);
assert.deepEqual(result.header.description, 'General purpose coding assistant');
assert.deepEqual(result.header.agent, 'agent');
assert.deepEqual(result.header.model, 'GPT 4.1');
assert.deepEqual(result.header.model, ['GPT 4.1']);
assert.ok(result.header.tools);
assert.deepEqual(result.header.tools, ['search', 'terminal']);
});

2
src/vs/workbench/contrib/chat/test/common/promptSyntax/service/promptsService.test.ts
View File

@@ -994,7 +994,7 @@ suite('PromptsService', () => {
name: 'vscode-agent',
description: 'VS Code specialized agent.',
target: 'vscode',
model: 'gpt-4',
model: ['gpt-4'],
agentInstructions: {
content: 'I am specialized for VS Code editor tasks.',
toolReferences: [],

2
src/vs/workbench/contrib/inlineChat/browser/inlineChatController.ts
View File

@@ -474,7 +474,7 @@ export class InlineChatController implements IEditorContribution {
// Check for default model setting
const defaultModelSetting = this._configurationService.getValue<string>(InlineChatConfigKeys.DefaultModel);
if (defaultModelSetting && !this._zone.value.widget.chatWidget.input.switchModelByQualifiedName(defaultModelSetting)) {
if (defaultModelSetting && !this._zone.value.widget.chatWidget.input.switchModelByQualifiedName([defaultModelSetting])) {
this._logService.warn(`inlineChat.defaultModel setting value '${defaultModelSetting}' did not match any available model. Falling back to vendor default.`);
}