diff --git a/github-enterprise-agent-sample/.gitignore b/github-enterprise-agent-sample/.gitignore new file mode 100644 index 0000000000..5eb8bbf3a2 --- /dev/null +++ b/github-enterprise-agent-sample/.gitignore @@ -0,0 +1,6 @@ +out +dist +node_modules +.vscode-test +*.vsix +vscode.dts diff --git a/github-enterprise-agent-sample/.vscode/launch.json b/github-enterprise-agent-sample/.vscode/launch.json new file mode 100644 index 0000000000..0fc7da277b --- /dev/null +++ b/github-enterprise-agent-sample/.vscode/launch.json @@ -0,0 +1,35 @@ +// A launch configuration that compiles the extension and then opens it inside a new window +// Use IntelliSense to learn about possible attributes. +// Hover to view descriptions of existing attributes. +// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 +{ + "version": "0.2.0", + "configurations": [ + { + "name": "Run Extension", + "type": "extensionHost", + "request": "launch", + "args": [ + "--extensionDevelopmentPath=${workspaceFolder}" + ], + "outFiles": [ + "${workspaceFolder}/out/**/*.js" + ], + "preLaunchTask": "npm: compile" + }, + { + "name": "Run Web Extension in VS Code", + "type": "pwa-extensionHost", + "debugWebWorkerHost": true, + "request": "launch", + "args": [ + "--extensionDevelopmentPath=${workspaceFolder}", + "--extensionDevelopmentKind=web" + ], + "outFiles": [ + "${workspaceFolder}/dist/web/**/*.js" + ], + "preLaunchTask": "npm: watch-web" + } + ] +} diff --git a/github-enterprise-agent-sample/.vscode/tasks.json b/github-enterprise-agent-sample/.vscode/tasks.json new file mode 100644 index 0000000000..ead2051c14 --- /dev/null +++ b/github-enterprise-agent-sample/.vscode/tasks.json @@ -0,0 +1,35 @@ +// See https://go.microsoft.com/fwlink/?LinkId=733558 +// for the documentation about the tasks.json format +{ + "version": "2.0.0", + "tasks": [ + { + "type": "npm", + "script": "compile", + "group": { + "kind": "build", + "isDefault": true + }, + "problemMatcher": "$tsc" + }, + { + "type": "npm", + "script": "compile-web", + "group": "build", + "problemMatcher": [ + "$ts-webpack", + "$tslint-webpack" + ] + }, + { + "type": "npm", + "script": "watch-web", + "group": "build", + "isBackground": true, + "problemMatcher": [ + "$ts-webpack-watch", + "$tslint-webpack-watch" + ] + } + ] +} diff --git a/github-enterprise-agent-sample/.vscodeignore b/github-enterprise-agent-sample/.vscodeignore new file mode 100644 index 0000000000..590ffe7262 --- /dev/null +++ b/github-enterprise-agent-sample/.vscodeignore @@ -0,0 +1,15 @@ +.vscode/** +.vscode-test/** +.vscode-test-web/** +src/** +out/test/** +.gitignore +.yarnrc +vsc-extension-quickstart.md +**/tsconfig.json +**/.eslintrc.json +eslint.config.mjs +webpack.config.js +**/*.map +**/*.ts +vscode.dts diff --git a/github-enterprise-agent-sample/README.md b/github-enterprise-agent-sample/README.md new file mode 100644 index 0000000000..c8848aca03 --- /dev/null +++ b/github-enterprise-agent-sample/README.md @@ -0,0 +1,79 @@ +# GitHub Enterprise Agent Sample + +A VS Code extension sample that combines four things: + +1. **GitHub + GitHub Enterprise integration (desktop + web)** — signs in with VS Code's built-in GitHub authentication providers and talks to the GitHub REST API with [Octokit](https://github.com/octokit/rest.js#readme). Works in desktop VS Code **and** in VS Code for the Web (vscode.dev) via the `browser` entry point. +2. **Agent app with a dedicated entry** — a chat participant (`@enterprise-agent`) plus a dedicated command (`GitHub Enterprise Agent: Open Enterprise Agent Chat`) that opens the Chat view with the agent pre-mentioned. +3. **NVIDIA model provider** — registers NVIDIA NIM models (OpenAI-compatible endpoint) through the LM API, so they show up in the model picker. +4. **Mistral model provider** — registers Mistral models (OpenAI-compatible endpoint) through the LM API; the agent falls back to a Mistral model when no model is selected. + +## Setup + +- **GitHub.com** (default): nothing to configure. Run `GitHub Enterprise Agent: Show GitHub Account` and sign in. +- **GitHub Enterprise Server**: set `githubEnterpriseAgent.host` to your GHES URL (e.g. `https://ghe.example.com`) **and** set the built-in `github-enterprise.uri` setting to the same URL, then reload. The extension uses the `github.enterprise` authentication provider and points Octokit at `https:///api/v3`. +- **Model providers**: run `GitHub Enterprise Agent: Set NVIDIA API Key` / `Set Mistral API Key` (keys are stored in VS Code's secret storage). + +## Run + +- Desktop: press `F5` (Run Extension). +- Web: `npm run start-web`, or press `F5` with *Run Web Extension in VS Code*. + +## Testing + +The sample ships with an integration test suite that runs in a real VS Code instance (`@vscode/test-electron`): + +```bash +npm test # compiles first, then runs the suite in VS Code 1.138.0 +``` + +The suite covers extension activation, command registration, chat participant and language model provider wiring (`vscode.lm.selectChatModels`), token counting, the `GitHubService` host/auth logic, agent handler behavior (free-form chat and the `/orgs` error path), and the Mistral provider's SSE streaming end-to-end against a local HTTP server (deltas, auth header, error handling, cancellation). + +### Real-API tests + +A second suite runs against the real `https://integrate.api.nvidia.com/v1` endpoint and is skipped unless `NVIDIA_API_KEY` is set: + +```bash +NVIDIA_API_KEY=nvapi-... npm test +``` + +It verifies the full path — VS Code language model API → provider → real NVIDIA cloud — by discovering the live model catalog, streaming a real completion, and asserting that API errors surface for retired models. The key is read from the environment only and is never stored in the repository. + +### Dynamic model discovery + +The NVIDIA and Mistral providers fetch the live `/models` catalog at runtime (5-minute cache) instead of relying on a hardcoded model list, so retired or account-unavailable models never appear in the picker. A static fallback list is used when the catalog cannot be fetched. + +### Responses-style orchestration (推論層) + +Endpoints like `https://integrate.api.nvidia.com/v1` only serve `chat/completions` — there is no `/responses` route. This sample adds an inference layer (`src/providers/responses.ts`) that turns every model call into a **Responses-style agent loop** orchestrated client-side, so any chat/completions model gets the full agent architecture: + +1. **Session start** — a `response.created` event opens a session (`resp_...` id, model, instructions, message history). +2. **Upstream** — one `chat/completions` call per iteration against the session history, with a system prompt that teaches the model a text-marker protocol (``, ``, ``), so it works with or without function calling. +3. **Subagents** — tool calls are executed by real subagents (`src/agents/subagents.ts`): `search` (workspace file search) and `test` (shell command), and their results are fed back upstream as the next message. +4. **Output** — when the model stops calling tools, its answer is emitted as `output_text.delta` and the session completes with `response.completed`. + +The loop is capped at 5 iterations; if the cap is hit the model's last words are still surfaced. The provider maps the events onto VS Code's language model stream, so the agent transcript (thinking, plan, tool calls, results) is visible in the chat as `[thinking]`, `[plan]`, `[tool: ...]`, `[result]` lines. + +## Try it + +- `@enterprise-agent /orgs` — list the organizations you belong to +- `@enterprise-agent /repos ` — list repositories of an organization +- `@enterprise-agent ` — free-form chat using the selected model +- Command palette: `Show GitHub Account`, `List Organization Repositories` + +## Deploy + +```bash +npx @vscode/vsce package # produces github-enterprise-agent-sample-0.0.1.vsix +``` + +- **Local / desktop**: install the `.vsix` via the Extensions view (`Install from VSIX...`). +- **Online (vscode.dev)**: the extension has a `browser` entry point, so publishing it to the Marketplace (`npx @vscode/vsce publish`) makes it available on vscode.dev automatically. +- **Organization-internal distribution**: publish as *unlisted* on the Marketplace (only people with the link can find it), or distribute the `.vsix` file directly. + +## Git sync + +```bash +git add github-enterprise-agent-sample +git commit -m "Add GitHub Enterprise Agent sample" +git push -u origin +``` diff --git a/github-enterprise-agent-sample/eslint.config.mjs b/github-enterprise-agent-sample/eslint.config.mjs new file mode 100644 index 0000000000..762ef819b4 --- /dev/null +++ b/github-enterprise-agent-sample/eslint.config.mjs @@ -0,0 +1,60 @@ +/** + * ESLint configuration for the project. + * + * See https://eslint.style and https://typescript-eslint.io for additional linting options. + */ +// @ts-check +import js from '@eslint/js'; +import tseslint from 'typescript-eslint'; +import stylistic from '@stylistic/eslint-plugin'; + +export default tseslint.config( + { + ignores: [ + '.vscode-test', + '.vscode-test-web', + 'dist', + 'out', + 'webpack.config.js', + '**/*.d.ts' + ] + }, + { + files: ['**/*.{js,mjs,cjs,ts,jsx,tsx}'], + }, + js.configs.recommended, + 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b/github-enterprise-agent-sample/package.json new file mode 100644 index 0000000000..bfe9f961a4 --- /dev/null +++ b/github-enterprise-agent-sample/package.json @@ -0,0 +1,131 @@ +{ + "name": "github-enterprise-agent-sample", + "displayName": "GitHub Enterprise Agent Sample", + "description": "GitHub / GitHub Enterprise integration with a chat agent and NVIDIA + Mistral model providers. Works on desktop and web (vscode.dev).", + "version": "0.0.1", + "publisher": "vscode-samples", + "engines": { + "vscode": "^1.104.0" + }, + "private": true, + "license": "MIT", + "repository": { + "type": "git", + "url": "https://github.com/Microsoft/vscode-extension-samples" + }, + "categories": [ + "AI", + "Chat", + "Other" + ], + "activationEvents": [], + "main": "./out/extension.js", + "browser": "./dist/web/extension.js", + "contributes": { + "chatParticipants": [ + { + "id": "github-enterprise-agent-sample.agent", + "fullName": "Enterprise Agent", + "name": "enterprise-agent", + "description": "GitHub / GitHub Enterprise agent. Ask about your orgs and repos, or just chat.", + "isSticky": true, + "commands": [ + { + "name": "orgs", + "description": "List the GitHub organizations you belong to" + }, + { + "name": "repos", + "description": "List repositories of one of your organizations" + } + ] + } + ], + "languageModelChatProviders": [ + { + "vendor": "nvidia", + "displayName": "NVIDIA NIM" + }, + { + "vendor": "mistral", + "displayName": "Mistral AI" + } + ], + "commands": [ + { + "command": "github-enterprise-agent-sample.openAgentChat", + "title": "Open Enterprise Agent Chat", + "category": "GitHub Enterprise Agent" + }, + { + "command": "github-enterprise-agent-sample.whoami", + "title": "Show GitHub Account", + "category": "GitHub Enterprise Agent" + }, + { + "command": "github-enterprise-agent-sample.listOrgRepos", + "title": "List Organization Repositories", + "category": "GitHub Enterprise Agent" + }, + { + "command": "github-enterprise-agent-sample.setNvidiaApiKey", + "title": "Set NVIDIA API Key", + "category": "GitHub Enterprise Agent" + }, + { + "command": "github-enterprise-agent-sample.setMistralApiKey", + "title": "Set Mistral API Key", + "category": "GitHub Enterprise Agent" + } + ], + "configuration": { + "title": "GitHub Enterprise Agent", + "properties": { + "githubEnterpriseAgent.host": { + "type": "string", + "default": "https://github.com", + "description": "GitHub host to connect to. Use https://github.com for GitHub.com, or your GitHub Enterprise Server URL (e.g. https://ghe.example.com). For GitHub Enterprise Server, also set the built-in \"github-enterprise.uri\" setting to the same URL so the github.enterprise authentication provider is registered." + } + } + } + }, + "scripts": { + "vscode:prepublish": "npm run compile && npm run package-web", + "download-api": "dts dev", + "postdownload-api": "dts main", + "postinstall": "npm run download-api", + "compile": "tsc -p ./", + "compile-web": "webpack", + "watch": "tsc -watch -p ./", + "watch-web": "webpack --watch", + "package-web": "webpack --mode production --devtool hidden-source-map", + "start-web": "vscode-test-web --browserType=chromium --extensionDevelopmentPath=.", + "pretest": "npm run compile", + "test": "node ./out/test/runTest.js", + "lint": "eslint" + }, + "dependencies": { + "@octokit/rest": "^18.0.0" + }, + "devDependencies": { + "@eslint/js": "^9.13.0", + "@stylistic/eslint-plugin": "^2.9.0", + "@types/glob": "^7.1.1", + "@types/mocha": "^10.0.1", + "@types/node": "^22", + "@types/vscode": "^1.104.0", + "@vscode/dts": "^0.4.1", + "@vscode/test-electron": "^3.1.0", + "@vscode/test-web": "^0.0.66", + "assert": "^2.1.0", + "eslint": "^9.13.0", + "glob": "^7.1.4", + "mocha": "^10.2.0", + "process": "^0.11.10", + "ts-loader": "^9.5.2", + "typescript": "^5.9.2", + "typescript-eslint": "^8.39.0", + "webpack": "^5.98.0", + "webpack-cli": "^6.0.1" + } +} diff --git a/github-enterprise-agent-sample/src/agent.ts b/github-enterprise-agent-sample/src/agent.ts new file mode 100644 index 0000000000..03db76c694 --- /dev/null +++ b/github-enterprise-agent-sample/src/agent.ts @@ -0,0 +1,123 @@ +import * as vscode from 'vscode'; +import * as Octokit from '@octokit/rest'; +import { GitHubService } from './ghes'; + +const AGENT_PARTICIPANT_ID = 'github-enterprise-agent-sample.agent'; + +interface IAgentChatResult extends vscode.ChatResult { + metadata: { + command: string; + }; +} + +/** + * The agent request handler. Exported separately so it can be tested without + * the chat UI. + */ +export function createAgentHandler(github: GitHubService): vscode.ChatRequestHandler { + return async (request: vscode.ChatRequest, context: vscode.ChatContext, stream: vscode.ChatResponseStream, token: vscode.CancellationToken): Promise => { + if (request.command === 'orgs') { + stream.progress('Fetching your organizations...'); + const octokit = await github.getOctokitOrThrow(); + const orgs = await octokit.orgs.listForAuthenticatedUser({ per_page: 100 }); + stream.markdown(orgs.data.length > 0 + ? orgs.data.map(org => `- **${org.login}**${org.description ? ` — ${org.description}` : ''}`).join('\n') + : 'No organizations found for this account.'); + return { metadata: { command: 'orgs' } }; + } + + if (request.command === 'repos') { + stream.progress('Fetching organization repositories...'); + const octokit = await github.getOctokitOrThrow(); + const org = request.prompt.trim() || await pickOrg(octokit); + if (!org) { + stream.markdown('No organization selected.'); + return { metadata: { command: 'repos' } }; + } + const repos = await octokit.repos.listForOrg({ org, per_page: 100, sort: 'updated' }); + stream.markdown(repos.data.length > 0 + ? repos.data.map(repo => `- **${repo.full_name}**${repo.description ? ` — ${repo.description}` : ''}`).join('\n') + : `No repositories found in \`${org}\`.`); + return { metadata: { command: 'repos' } }; + } + + // Free-form chat: answer with the model selected in the model picker, + // including the NVIDIA and Mistral models provided by this extension. + const model = request.model ?? await pickFallbackModel(); + if (!model) { + stream.markdown('No language model available. Pick a model in the model picker, for example one of the NVIDIA or Mistral models from this extension.'); + return { metadata: { command: '' } }; + } + + const messages = [ + vscode.LanguageModelChatMessage.User(`You are the Enterprise Agent for ${github.host}. Help the user with GitHub and GitHub Enterprise questions, organizations and repositories. Be concise.`), + ...historyToMessages(context), + vscode.LanguageModelChatMessage.User(request.prompt) + ]; + const chatResponse = await model.sendRequest(messages, {}, token); + for await (const fragment of chatResponse.text) { + stream.markdown(fragment); + } + return { metadata: { command: '' } }; + }; +} + +/** + * Rebuilds the chat conversation history as language model messages so + * multi-turn conversations keep their context. Duck-typed instead of + * instanceof because the turn classes have private constructors and tests + * build plain objects. + */ +export function historyToMessages(context: vscode.ChatContext): vscode.LanguageModelChatMessage[] { + const messages: vscode.LanguageModelChatMessage[] = []; + for (const turn of context.history ?? []) { + if ('prompt' in turn) { + messages.push(vscode.LanguageModelChatMessage.User(turn.prompt)); + } else if ('response' in turn) { + const text = turn.response + .map(part => part instanceof vscode.ChatResponseMarkdownPart ? part.value.value : '') + .join(''); + if (text) { + messages.push(vscode.LanguageModelChatMessage.Assistant(text)); + } + } + } + return messages; +} + +/** + * The agent app. It appears as a top-level option in the chat input when you + * type `@`, and has a dedicated entry point via the + * `github-enterprise-agent-sample.openAgentChat` command. + */ +export function registerAgent(context: vscode.ExtensionContext, github: GitHubService): vscode.Disposable { + const participant = vscode.chat.createChatParticipant(AGENT_PARTICIPANT_ID, createAgentHandler(github)); + participant.followupProvider = { + provideFollowups(_result: IAgentChatResult, _context: vscode.ChatContext, _token: vscode.CancellationToken) { + return [{ + prompt: '/orgs', + label: 'List my organizations', + command: 'orgs' + } satisfies vscode.ChatFollowup]; + } + }; + + return participant; +} + +async function pickOrg(octokit: Octokit.Octokit): Promise { + const orgs = await octokit.orgs.listForAuthenticatedUser({ per_page: 100 }); + return vscode.window.showQuickPick(orgs.data.map(org => org.login), { + placeHolder: 'Select an organization' + }); +} + +async function pickFallbackModel(): Promise { + // Prefer a Mistral model provided by this extension, fall back to any model. + const models = await vscode.lm.selectChatModels({ vendor: 'mistral' }); + if (models.length > 0) { + return models[0]; + } + const all = await vscode.lm.selectChatModels({}); + return all[0]; +} diff --git a/github-enterprise-agent-sample/src/agents/subagents.ts b/github-enterprise-agent-sample/src/agents/subagents.ts new file mode 100644 index 0000000000..5118e3f252 --- /dev/null +++ b/github-enterprise-agent-sample/src/agents/subagents.ts @@ -0,0 +1,48 @@ +import * as vscode from 'vscode'; +import { exec } from 'child_process'; +import { Subagent } from '../providers/responses'; + +/** Searches the workspace for files matching a glob pattern. */ +export class SearchSubagent implements Subagent { + readonly name = 'search'; + + async run(args: Record, token: vscode.CancellationToken): Promise { + const include = typeof args.include === 'string' && args.include.length > 0 ? args.include : '**/*'; + const files = await vscode.workspace.findFiles(include, '**/node_modules/**', 20, token); + if (files.length === 0) { + return `no files match ${include}`; + } + return files.map(file => vscode.workspace.asRelativePath(file)).join('\n'); + } +} + +const TEST_TIMEOUT_MS = 60_000; + +/** Runs a shell command and reports its output, for the test step of the loop. */ +export class TestSubagent implements Subagent { + readonly name = 'test'; + + run(args: Record, _token: vscode.CancellationToken): Promise { + const command = typeof args.command === 'string' ? args.command : ''; + if (!command.trim()) { + return Promise.resolve('no command given'); + } + return new Promise(resolve => { + exec(command, { timeout: TEST_TIMEOUT_MS, cwd: vscode.workspace.workspaceFolders?.[0]?.uri.fsPath, maxBuffer: 1024 * 1024 }, (error, stdout, stderr) => { + const parts = [ + stdout ? `stdout:\n${stdout.slice(0, 2000)}` : '', + stderr ? `stderr:\n${stderr.slice(0, 1000)}` : '', + error ? `exit: ${error.message.slice(0, 200)}` : 'exit: 0' + ].filter(Boolean); + resolve(parts.join('\n') || '(no output)'); + }); + }); + } +} + +export function defaultSubagents(): Map { + return new Map([ + ['search', new SearchSubagent()], + ['test', new TestSubagent()] + ]); +} \ No newline at end of file diff --git a/github-enterprise-agent-sample/src/extension.ts b/github-enterprise-agent-sample/src/extension.ts new file mode 100644 index 0000000000..dc88443731 --- /dev/null +++ b/github-enterprise-agent-sample/src/extension.ts @@ -0,0 +1,80 @@ +import * as vscode from 'vscode'; +import { GitHubService } from './ghes'; +import { registerAgent } from './agent'; +import { NvidiaChatModelProvider } from './providers/nvidia'; +import { MistralChatModelProvider } from './providers/mistral'; + +export async function activate(context: vscode.ExtensionContext) { + // GitHub / GitHub Enterprise connection (desktop + web) + const github = new GitHubService(context); + github.initialize(); + context.subscriptions.push(github); + + // Agent app with a dedicated entry point + context.subscriptions.push( + vscode.commands.registerCommand('github-enterprise-agent-sample.openAgentChat', () => { + vscode.commands.executeCommand('workbench.action.chat.open', { query: '@enterprise-agent ' }); + }), + vscode.commands.registerCommand('github-enterprise-agent-sample.whoami', async () => { + const octokit = await github.getOctokitOrThrow(); + const userInfo = await octokit.users.getAuthenticated(); + vscode.window.showInformationMessage(`Signed into ${github.host} as ${userInfo.data.login}`); + }), + vscode.commands.registerCommand('github-enterprise-agent-sample.listOrgRepos', async () => { + const octokit = await github.getOctokitOrThrow(); + const org = await vscode.window.showQuickPick( + (await octokit.orgs.listForAuthenticatedUser({ per_page: 100 })).data.map(o => o.login), + { placeHolder: 'Select an organization' } + ); + if (!org) { + return; + } + const repos = (await octokit.repos.listForOrg({ org, per_page: 100, sort: 'updated' })).data; + const repo = await vscode.window.showQuickPick( + repos.map(r => ({ label: r.full_name, description: r.description ?? '', url: r.html_url })), + { placeHolder: `Repositories in ${org}` } + ); + if (repo) { + vscode.env.openExternal(vscode.Uri.parse(repo.url)); + } + }), + registerAgent(context, github) + ); + + // Model providers: NVIDIA NIM + Mistral (OpenAI-compatible endpoints) + vscode.lm.registerLanguageModelChatProvider('nvidia', new NvidiaChatModelProvider(context.secrets)); + vscode.lm.registerLanguageModelChatProvider('mistral', new MistralChatModelProvider(context.secrets)); + + // Dev convenience: when the extension host is launched with NVIDIA_API_KEY + // in the environment (the demo launch and the test harness do this) and no + // key is stored yet, provision it so the provider works with zero manual + // setup. The key is read from the environment at runtime and never stored + // in the repository. + const nvidiaKey = process.env.NVIDIA_API_KEY; + if (nvidiaKey && !(await context.secrets.get('github-enterprise-agent-sample.nvidiaApiKey'))) { + await context.secrets.store('github-enterprise-agent-sample.nvidiaApiKey', nvidiaKey); + vscode.window.showInformationMessage('NVIDIA API key provisioned from the NVIDIA_API_KEY environment variable.'); + } + + // API key management for the model providers. The commands accept an + // optional key argument so automation and tests can set a key without UI + // interaction; interactive callers still get the input box. + context.subscriptions.push( + vscode.commands.registerCommand('github-enterprise-agent-sample.setNvidiaApiKey', (key?: string) => setApiKey(context, 'github-enterprise-agent-sample.nvidiaApiKey', 'NVIDIA', key)), + vscode.commands.registerCommand('github-enterprise-agent-sample.setMistralApiKey', (key?: string) => setApiKey(context, 'github-enterprise-agent-sample.mistralApiKey', 'Mistral', key)) + ); +} + +async function setApiKey(context: vscode.ExtensionContext, storageKey: string, label: string, providedKey?: string): Promise { + const key = providedKey ?? await vscode.window.showInputBox({ + prompt: `Enter your ${label} API key`, + password: true, + ignoreFocusOut: true + }); + if (key) { + await context.secrets.store(storageKey, key); + vscode.window.showInformationMessage(`${label} API key saved.`); + } +} + +export function deactivate() { } diff --git a/github-enterprise-agent-sample/src/ghes.ts b/github-enterprise-agent-sample/src/ghes.ts new file mode 100644 index 0000000000..3527ed0d4b --- /dev/null +++ b/github-enterprise-agent-sample/src/ghes.ts @@ -0,0 +1,92 @@ +import * as vscode from 'vscode'; +import * as Octokit from '@octokit/rest'; + +const GITHUB_COM = 'https://github.com'; +const GITHUB_COM_PROVIDER_ID = 'github'; +// Provider id registered by VS Code's built-in GitHub Enterprise support, +// which is enabled by setting `github-enterprise.uri`. +const GHES_PROVIDER_ID = 'github.enterprise'; +// The GitHub authentication providers accept the scopes described here: +// https://docs.github.com/en/apps/oauth-apps/building-oauth-apps/understanding-scopes-for-oauth-apps +const SCOPES = ['user:email', 'read:org']; + +/** + * GitHub / GitHub Enterprise connection shared by the desktop and the web + * extension host. Uses VS Code's built-in authentication providers, so no + * token handling is done by the extension itself. + */ +export class GitHubService implements vscode.Disposable { + private octokit: Octokit.Octokit | undefined; + private readonly disposables: vscode.Disposable[] = []; + + constructor(private readonly context: vscode.ExtensionContext) { } + + async initialize(): Promise { + // Sessions change when a user logs in or logs out. + this.disposables.push(vscode.authentication.onDidChangeSessions(async e => { + if (e.provider.id === this.providerId) { + this.octokit = undefined; + } + })); + } + + get host(): string { + const host = vscode.workspace.getConfiguration('githubEnterpriseAgent').get('host', GITHUB_COM); + return host.replace(/\/+$/, ''); + } + + get providerId(): string { + return this.host === GITHUB_COM ? GITHUB_COM_PROVIDER_ID : GHES_PROVIDER_ID; + } + + // GitHub Enterprise Server serves its REST API under https:///api/v3 + get apiBaseUrl(): string | undefined { + return this.host === GITHUB_COM ? undefined : `${this.host}/api/v3`; + } + + async getOctokit(createIfNone = false): Promise { + if (this.octokit) { + return this.octokit; + } + + let session: vscode.AuthenticationSession | undefined; + try { + // By passing the `createIfNone` flag, a numbered badge will show up on the + // accounts activity bar icon, allowing quietly prompting the user to sign in. + session = await vscode.authentication.getSession(this.providerId, SCOPES, { createIfNone }); + } catch (err) { + // The `github.enterprise` provider only exists once `github-enterprise.uri` is set. + if (this.providerId === GHES_PROVIDER_ID) { + throw new Error( + `No GitHub Enterprise authentication provider found. Set "github-enterprise.uri" to "${this.host}" and reload the window.`, + { cause: err as Error } + ); + } + throw err; + } + + if (!session) { + return undefined; + } + + this.octokit = new Octokit.Octokit({ + auth: session.accessToken, + baseUrl: this.apiBaseUrl + }); + return this.octokit; + } + + async getOctokitOrThrow(): Promise { + const octokit = await this.getOctokit(true); + if (!octokit) { + throw new Error(`Not signed in to ${this.host}.`); + } + return octokit; + } + + dispose(): void { + for (const disposable of this.disposables) { + disposable.dispose(); + } + } +} diff --git a/github-enterprise-agent-sample/src/providers/mistral.ts b/github-enterprise-agent-sample/src/providers/mistral.ts new file mode 100644 index 0000000000..b088141d24 --- /dev/null +++ b/github-enterprise-agent-sample/src/providers/mistral.ts @@ -0,0 +1,50 @@ +import * as vscode from 'vscode'; +import { OpenAICompatibleChatModelProvider, OpenAICompatibleModelInfo } from './openaiCompatible'; + +// The Mistral API is OpenAI-compatible: https://docs.mistral.ai/api/ +const MISTRAL_BASE_URL = 'https://api.mistral.ai/v1'; + +const MISTRAL_MODELS: OpenAICompatibleModelInfo[] = [ + { + id: 'mistral-large-latest', + name: 'Mistral Large', + tooltip: 'Mistral Large, the flagship Mistral model.', + maxInputTokens: 128000, + maxOutputTokens: 8192 + }, + { + id: 'mistral-small-latest', + name: 'Mistral Small', + tooltip: 'Mistral Small, a fast and efficient Mistral model.', + maxInputTokens: 128000, + maxOutputTokens: 8192 + }, + { + id: 'codestral-latest', + name: 'Codestral', + tooltip: 'Codestral, Mistral\'s coding model.', + maxInputTokens: 256000, + maxOutputTokens: 8192 + }, + { + id: 'ministral-8b-latest', + name: 'Ministral 8B', + tooltip: 'Ministral 8B, a small edge model from Mistral.', + maxInputTokens: 128000, + maxOutputTokens: 8192 + } +]; + +export class MistralChatModelProvider extends OpenAICompatibleChatModelProvider { + constructor(secrets: vscode.SecretStorage) { + super( + 'mistral', + 'mistral', + MISTRAL_BASE_URL, + MISTRAL_MODELS, + secrets, + 'github-enterprise-agent-sample.mistralApiKey', + 'GitHub Enterprise Agent: Set Mistral API Key' + ); + } +} diff --git a/github-enterprise-agent-sample/src/providers/nvidia.ts b/github-enterprise-agent-sample/src/providers/nvidia.ts new file mode 100644 index 0000000000..0f002ed989 --- /dev/null +++ b/github-enterprise-agent-sample/src/providers/nvidia.ts @@ -0,0 +1,46 @@ +import * as vscode from 'vscode'; +import { OpenAICompatibleChatModelProvider, OpenAICompatibleModelInfo } from './openaiCompatible'; + +// The NVIDIA NIM API is OpenAI-compatible: https://docs.api.nvidia.com +const NVIDIA_BASE_URL = 'https://integrate.api.nvidia.com/v1'; + +// Fallback catalog used when the live catalog cannot be fetched. These ids +// were verified against https://integrate.api.nvidia.com/v1; the live catalog +// from the API is preferred at runtime because it changes over time. +const NVIDIA_MODELS: OpenAICompatibleModelInfo[] = [ + { + id: 'meta/llama-3.2-11b-vision-instruct', + name: 'Llama 3.2 11B Vision (NVIDIA)', + tooltip: 'Meta Llama 3.2 11B Vision Instruct served by NVIDIA NIM.', + maxInputTokens: 128000, + maxOutputTokens: 8192 + }, + { + id: 'mistralai/mistral-nemotron', + name: 'Mistral Nemotron (NVIDIA)', + tooltip: 'Mistral Nemotron served by NVIDIA NIM.', + maxInputTokens: 128000, + maxOutputTokens: 8192 + }, + { + id: 'nvidia/nemotron-3-super-120b-a12b', + name: 'Nemotron 3 Super 120B (NVIDIA)', + tooltip: 'NVIDIA Nemotron 3 Super 120B (reasoning model).', + maxInputTokens: 128000, + maxOutputTokens: 8192 + } +]; + +export class NvidiaChatModelProvider extends OpenAICompatibleChatModelProvider { + constructor(secrets: vscode.SecretStorage) { + super( + 'nvidia', + 'nvidia', + NVIDIA_BASE_URL, + NVIDIA_MODELS, + secrets, + 'github-enterprise-agent-sample.nvidiaApiKey', + 'GitHub Enterprise Agent: Set NVIDIA API Key' + ); + } +} diff --git a/github-enterprise-agent-sample/src/providers/openaiCompatible.ts b/github-enterprise-agent-sample/src/providers/openaiCompatible.ts new file mode 100644 index 0000000000..d19ff98a8f --- /dev/null +++ b/github-enterprise-agent-sample/src/providers/openaiCompatible.ts @@ -0,0 +1,225 @@ +import * as vscode from 'vscode'; +import { ResponsesEvent, ResponsesOrchestrator, ResponsesSession, UpstreamTurn, agentProtocolPrompt, parseUpstreamTurn } from './responses'; +import { defaultSubagents } from '../agents/subagents'; + +export interface OpenAICompatibleModelInfo { + id: string; + name: string; + tooltip: string; + maxInputTokens: number; + maxOutputTokens: number; +} + +// Id fragments of model families that a chat completion endpoint lists but +// that are not chat models (embeddings, rerankers, guard models, ...). +const NON_CHAT_ID_FRAGMENTS = [ + 'embed', 'rerank', 'retriever', 'guard', 'safety', 'topic-control', + 'deplot', 'kosmos', 'fuyu', 'diffusion', 'calibration', 'detector', 'ocr' +]; + +/** + * Minimal OpenAI-compatible chat completion client shared by the NVIDIA NIM + * and Mistral model providers. Uses plain fetch and server-sent events, so it + * works in the desktop and the web extension host. + */ +export abstract class OpenAICompatibleChatModelProvider implements vscode.LanguageModelChatProvider { + private static readonly LIVE_MODELS_CACHE_TTL_MS = 5 * 60 * 1000; + private liveModelsCache: { models: OpenAICompatibleModelInfo[]; fetchedAt: number } | undefined; + + constructor( + private readonly vendor: string, + private readonly family: string, + private readonly baseUrl: string, + private readonly models: OpenAICompatibleModelInfo[], + private readonly secrets: vscode.SecretStorage, + private readonly secretStorageKey: string, + private readonly apiKeyCommandTitle: string + ) { } + + async provideLanguageModelChatInformation(_options: { silent: boolean }, token: vscode.CancellationToken): Promise { + // The model catalog of an OpenAI-compatible endpoint changes over time + // (models get retired and added), so a hardcoded list goes stale. The + // live catalog is preferred whenever it can be fetched; the static list + // is the fallback for offline use or endpoints that require a key for + // discovery while none is configured yet. + const live = await this.fetchLiveModels(token); + const models = live.length > 0 ? live : this.models; + return models.map(model => ({ + id: model.id, + name: model.name, + tooltip: model.tooltip, + family: this.family, + maxInputTokens: model.maxInputTokens, + maxOutputTokens: model.maxOutputTokens, + version: '1.0.0', + capabilities: { + toolCalling: false, + imageInput: false + } + })); + } + + /** + * Discovers the models that the endpoint currently serves. Returns an + * empty array when the catalog cannot be fetched, so the caller falls + * back to the static list. + */ + protected async fetchLiveModels(token: vscode.CancellationToken): Promise { + const cached = this.liveModelsCache; + if (cached && Date.now() - cached.fetchedAt < OpenAICompatibleChatModelProvider.LIVE_MODELS_CACHE_TTL_MS) { + return cached.models; + } + + const apiKey = await this.secrets.get(this.secretStorageKey); + const headers: Record = {}; + if (apiKey) { + headers['Authorization'] = `Bearer ${apiKey}`; + } + + try { + const response = await fetch(`${this.baseUrl}/models`, { headers, signal: toAbortSignal(token) }); + if (!response.ok || !response.body) { + return []; + } + const catalog = await response.json() as { data?: { id?: unknown }[] }; + const ids = (catalog.data ?? []) + .map(entry => entry.id) + .filter((id): id is string => typeof id === 'string' && !NON_CHAT_ID_FRAGMENTS.some(fragment => id.includes(fragment))); + const models = ids.map(id => ({ + id, + name: id, + tooltip: `Served by ${this.vendor}.`, + maxInputTokens: 128000, + maxOutputTokens: 8192 + })); + this.liveModelsCache = { models, fetchedAt: Date.now() }; + return models; + } catch { + return []; + } + } + + async provideLanguageModelChatResponse(model: vscode.LanguageModelChatInformation, messages: readonly vscode.LanguageModelChatRequestMessage[], _options: vscode.ProvideLanguageModelChatResponseOptions, progress: vscode.Progress, token: vscode.CancellationToken): Promise { + const apiKey = await this.secrets.get(this.secretStorageKey); + if (!apiKey) { + throw new Error(`No API key configured for ${this.vendor}. Run the "${this.apiKeyCommandTitle}" command to set one.`); + } + + // The inference layer: every model call runs through a responses-style + // agent loop (session start, upstream chat/completions, subagents for + // search/thinking/plan/tool call/test, output) instead of a bare + // chat/completions passthrough. + const upstream: (session: ResponsesSession, token: vscode.CancellationToken) => Promise = async (session, upstreamToken) => { + const raw = await this.streamChatCompletion(model.id, session.messages, apiKey, upstreamToken); + return parseUpstreamTurn(raw); + }; + const orchestrator = new ResponsesOrchestrator(upstream, defaultSubagents()); + const session = orchestrator.startSession(model.id, ''); + await orchestrator.run(session, messages.map(messageText).join('\n\n'), event => mapEventToProgress(event, progress), token); + } + + /** + * Streams one chat/completions call and returns the accumulated raw text. + */ + private async streamChatCompletion(modelId: string, messages: { role: string; content: string }[], apiKey: string, token: vscode.CancellationToken): Promise { + const response = await fetch(`${this.baseUrl}/chat/completions`, { + method: 'POST', + headers: { + 'Content-Type': 'application/json', + 'Authorization': `Bearer ${apiKey}` + }, + body: JSON.stringify({ + model: modelId, + messages: [{ role: 'system', content: agentProtocolPrompt('') }, ...messages], + stream: true + }), + signal: toAbortSignal(token) + }); + + if (!response.ok || !response.body) { + throw new Error(`${this.vendor} request failed: ${response.status} ${response.statusText}`); + } + + // Stream the server-sent events and accumulate the text deltas. + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ''; + let text = ''; + while (true) { + const { done, value } = await reader.read(); + if (done) { + break; + } + buffer += decoder.decode(value, { stream: true }); + const lines = buffer.split('\n'); + buffer = lines.pop() ?? ''; + for (const line of lines) { + if (!line.startsWith('data:')) { + continue; + } + const data = line.slice(5).trim(); + if (data === '[DONE]') { + return text; + } + try { + const delta = JSON.parse(data).choices?.[0]?.delta?.content; + if (typeof delta === 'string' && delta.length > 0) { + text += delta; + } + } catch { + // ignore keep-alive comments and partial frames + } + } + } + return text; + } + + async provideTokenCount(_model: vscode.LanguageModelChatInformation, text: string | vscode.LanguageModelChatRequestMessage, _token: vscode.CancellationToken): Promise { + const chars = typeof text === 'string' ? text.length : messageText(text).length; + return Math.ceil(chars / 4); + } +} + +/** + * Maps responses-style events to the VS Code language model stream, keeping + * the agent loop visible in the chat: thinking, plan, tool calls, results, + * and the final output text. + */ +function mapEventToProgress(event: ResponsesEvent, progress: vscode.Progress): void { + switch (event.type) { + case 'response.reasoning_summary_text.delta': + progress.report(new vscode.LanguageModelTextPart(`[thinking] ${event.delta}\n`)); + break; + case 'response.output_item.done': + if (event.item.type === 'reasoning' && event.item.summary.startsWith('plan: ')) { + progress.report(new vscode.LanguageModelTextPart(`[plan] ${event.item.summary.slice('plan: '.length)}\n`)); + } else if (event.item.type === 'function_call') { + progress.report(new vscode.LanguageModelTextPart(`[tool: ${event.item.name}]\n`)); + } else if (event.item.type === 'function_call_output') { + progress.report(new vscode.LanguageModelTextPart(`[result] ${event.item.output.slice(0, 200)}\n`)); + } + break; + case 'response.output_text.delta': + progress.report(new vscode.LanguageModelTextPart(event.delta)); + break; + default: + break; + } +} + +function messageText(message: string | vscode.LanguageModelChatRequestMessage): string { + if (typeof message === 'string') { + return message; + } + return message.content.map(part => part instanceof vscode.LanguageModelTextPart ? part.value : '').join(''); +} + +function toAbortSignal(token: vscode.CancellationToken): AbortSignal { + const controller = new AbortController(); + if (token.isCancellationRequested) { + controller.abort(); + } else { + token.onCancellationRequested(() => controller.abort()); + } + return controller.signal; +} diff --git a/github-enterprise-agent-sample/src/providers/responses.ts b/github-enterprise-agent-sample/src/providers/responses.ts new file mode 100644 index 0000000000..de7f4fbc3d --- /dev/null +++ b/github-enterprise-agent-sample/src/providers/responses.ts @@ -0,0 +1,189 @@ +import * as vscode from 'vscode'; + +/** + * Responses-style events, shaped after the OpenAI Responses API. The + * orchestrator produces them client-side over a chat/completions upstream, + * so endpoints that only serve chat/completions still get a responses-style + * agent loop: session start, upstream call, subagents (search, thinking, + * plan, tool call, test), output. + */ +export type ResponsesEvent = + | { type: 'response.created'; response_id: string; model: string } + | { type: 'response.output_item.added'; item: ResponsesOutputItem } + | { type: 'response.reasoning_summary_text.delta'; delta: string } + | { type: 'response.output_text.delta'; delta: string } + | { type: 'response.function_call_arguments.delta'; call_id: string; delta: string } + | { type: 'response.output_item.done'; item: ResponsesOutputItem } + | { type: 'response.completed'; response_id: string }; + +export type ResponsesOutputItem = + | { type: 'reasoning'; summary: string } + | { type: 'message'; role: 'assistant'; content: string } + | { type: 'function_call'; call_id: string; name: string; arguments: string } + | { type: 'function_call_output'; call_id: string; output: string }; + +export interface ResponsesSession { + id: string; + model: string; + instructions: string; + messages: { role: string; content: string }[]; + iterations: number; +} + +/** A parsed upstream turn: what the model produced in one chat/completions call. */ +export interface UpstreamTurn { + thinking: string; + plan: string; + text: string; + toolCalls: { name: string; arguments: string }[]; +} + +export interface Subagent { + readonly name: string; + run(args: Record, token: vscode.CancellationToken): Promise; +} + +/** The system prompt that teaches any chat/completions model the agent protocol. */ +export function agentProtocolPrompt(instructions: string): string { + return [ + 'You are a coding agent. ' + instructions, + 'For multi-step tasks you may use tools by emitting markers in your reply:', + 'short reasoning about the next step', + 'step 1; step 2; ...', + '{"include": "glob pattern"}', + '{"command": "shell command to run"}', + 'After tool results are provided in the next message, continue the task.', + 'When you have the final answer, reply with plain text only and no markers.' + ].join('\n'); +} + +let sessionCounter = 0; + +export class ResponsesOrchestrator { + private static readonly MAX_ITERATIONS = 5; + + constructor( + private readonly upstream: (session: ResponsesSession, token: vscode.CancellationToken) => Promise, + private readonly subagents: Map + ) { } + + startSession(model: string, instructions: string): ResponsesSession { + sessionCounter += 1; + return { + id: `resp_${Date.now().toString(36)}_${sessionCounter}`, + model, + instructions, + messages: [], + iterations: 0 + }; + } + + /** + * Runs the agent loop for one user input and emits responses-style events: + * session start, upstream turns (thinking, plan, tool calls), subagent + * results, and the final output text. + */ + async run(session: ResponsesSession, input: string, emit: (event: ResponsesEvent) => void, token: vscode.CancellationToken): Promise { + // session start + emit({ type: 'response.created', response_id: session.id, model: session.model }); + session.messages.push({ role: 'user', content: input }); + + let lastText = ''; + while (session.iterations < ResponsesOrchestrator.MAX_ITERATIONS && !token.isCancellationRequested) { + session.iterations += 1; + // upstream: one chat/completions call against the session history + const turn = await this.upstream(session, token); + lastText = turn.text; + + if (turn.thinking) { + const item: ResponsesOutputItem = { type: 'reasoning', summary: turn.thinking }; + emit({ type: 'response.output_item.added', item }); + emit({ type: 'response.reasoning_summary_text.delta', delta: turn.thinking }); + emit({ type: 'response.output_item.done', item }); + } + if (turn.plan) { + const item: ResponsesOutputItem = { type: 'reasoning', summary: `plan: ${turn.plan}` }; + emit({ type: 'response.output_item.added', item }); + emit({ type: 'response.output_item.done', item }); + } + + if (turn.toolCalls.length === 0) { + // output: the model produced the final answer + const item: ResponsesOutputItem = { type: 'message', role: 'assistant', content: turn.text }; + emit({ type: 'response.output_item.added', item }); + emit({ type: 'response.output_text.delta', delta: turn.text }); + emit({ type: 'response.output_item.done', item }); + emit({ type: 'response.completed', response_id: session.id }); + return; + } + + // subagent: execute each tool call and feed the results back upstream + session.messages.push({ role: 'assistant', content: turn.text || JSON.stringify(turn.toolCalls) }); + for (const call of turn.toolCalls) { + const callId = `call_${session.iterations}_${call.name}`; + const callItem: ResponsesOutputItem = { type: 'function_call', call_id: callId, name: call.name, arguments: call.arguments }; + emit({ type: 'response.output_item.added', item: callItem }); + emit({ type: 'response.function_call_arguments.delta', call_id: callId, delta: call.arguments }); + emit({ type: 'response.output_item.done', item: callItem }); + + let output: string; + const subagent = this.subagents.get(call.name); + if (!subagent) { + output = `unknown tool: ${call.name}`; + } else { + try { + let args: Record = {}; + try { args = JSON.parse(call.arguments) as Record; } catch { /* model emitted non-JSON args */ } + output = await subagent.run(args, token); + } catch (error) { + output = `tool failed: ${error instanceof Error ? error.message : String(error)}`; + } + } + const outputItem: ResponsesOutputItem = { type: 'function_call_output', call_id: callId, output }; + emit({ type: 'response.output_item.added', item: outputItem }); + emit({ type: 'response.output_item.done', item: outputItem }); + session.messages.push({ role: 'user', content: `tool ${call.name} result: ${output}` }); + } + } + + // The loop hit max iterations or cancellation: still surface the + // model's last words so the user always gets an answer. + if (lastText) { + const item: ResponsesOutputItem = { type: 'message', role: 'assistant', content: lastText }; + emit({ type: 'response.output_item.added', item }); + emit({ type: 'response.output_text.delta', delta: lastText }); + emit({ type: 'response.output_item.done', item }); + } + emit({ type: 'response.completed', response_id: session.id }); + } +} + +/** + * Parses one upstream chat/completions turn into its thinking, plan, tool + * calls, and remaining text. Uses text markers so it works with any + * chat/completions model, with or without function calling. + */ +export function parseUpstreamTurn(raw: string): UpstreamTurn { + const turn: UpstreamTurn = { thinking: '', plan: '', text: '', toolCalls: [] }; + // The closing tag is optional: small models do not always emit it, so a + // marker block also ends at the next marker or the end of the text. + const marker = /<(thinking|plan|tool)(\s[^>]*)?>([\s\S]*?)(?:<\/\1>|(?=<(?:thinking|plan|tool)(?:\s[^>]*)?>)|$)/g; + let lastIndex = 0; + let match: RegExpExecArray | null; + while ((match = marker.exec(raw)) !== null) { + turn.text += raw.slice(lastIndex, match.index); + lastIndex = match.index + match[0].length; + const body = match[3].trim(); + if (match[1] === 'thinking') { + turn.thinking += (turn.thinking ? ' ' : '') + body; + } else if (match[1] === 'plan') { + turn.plan += (turn.plan ? ' ' : '') + body; + } else { + const nameMatch = /name\s*=\s*"([^"]+)"/.exec(match[2] ?? ''); + turn.toolCalls.push({ name: nameMatch?.[1] ?? 'unknown', arguments: body }); + } + } + turn.text += raw.slice(lastIndex); + turn.text = turn.text.trim(); + return turn; +} \ No newline at end of file diff --git a/github-enterprise-agent-sample/src/test/runTest.ts b/github-enterprise-agent-sample/src/test/runTest.ts new file mode 100644 index 0000000000..3b1e4cff1c --- /dev/null +++ b/github-enterprise-agent-sample/src/test/runTest.ts @@ -0,0 +1,31 @@ +import * as path from 'path'; + +import { runTests } from '@vscode/test-electron'; + +async function main() { + try { + // The folder containing the Extension Manifest package.json + // Passed to `--extensionDevelopmentPath` + const extensionDevelopmentPath = path.resolve(__dirname, '../../'); + + // The path to the extension test script + // Passed to --extensionTestsPath + const extensionTestsPath = path.resolve(__dirname, './suite/index'); + + // Download VS Code, unzip it and run the integration tests. + // A short --user-data-dir keeps the IPC socket path under the + // 103-character Unix socket limit, which long checkout paths exceed. + // NVIDIA_API_KEY (when set) enables the real-API test suite. + await runTests({ + extensionDevelopmentPath, + extensionTestsPath, + launchArgs: ['--user-data-dir', '/tmp/vscode-test-github-enterprise-agent'], + extensionTestsEnv: { ...process.env, NVIDIA_API_KEY: process.env.NVIDIA_API_KEY } as Record + }); + } catch (err) { + console.error('Failed to run tests', err); + process.exit(1); + } +} + +main(); diff --git a/github-enterprise-agent-sample/src/test/suite/agentHistory.test.ts b/github-enterprise-agent-sample/src/test/suite/agentHistory.test.ts new file mode 100644 index 0000000000..243976da69 --- /dev/null +++ b/github-enterprise-agent-sample/src/test/suite/agentHistory.test.ts @@ -0,0 +1,51 @@ +import * as assert from 'assert'; +import * as vscode from 'vscode'; +import { historyToMessages } from '../../agent'; + +function requestTurn(prompt: string): vscode.ChatRequestTurn { + return { prompt } as unknown as vscode.ChatRequestTurn; +} + +function responseTurn(markdown: string): vscode.ChatResponseTurn { + return { + response: [new vscode.ChatResponseMarkdownPart(new vscode.MarkdownString(markdown))] + } as unknown as vscode.ChatResponseTurn; +} + +suite('Agent conversation history', () => { + test('rebuilds request and response turns as model messages', () => { + const context = { + history: [ + requestTurn('list my orgs'), + responseTurn('- **acme** — Acme Corp'), + requestTurn('and their repos?') + ] + } as unknown as vscode.ChatContext; + + const messages = historyToMessages(context); + assert.strictEqual(messages.length, 3); + assert.strictEqual(messages[0].role, vscode.LanguageModelChatMessageRole.User); + assert.strictEqual(messages[0].content.map(part => part instanceof vscode.LanguageModelTextPart ? part.value : '').join(''), 'list my orgs'); + assert.strictEqual(messages[1].role, vscode.LanguageModelChatMessageRole.Assistant); + assert.strictEqual(messages[1].content.map(part => part instanceof vscode.LanguageModelTextPart ? part.value : '').join(''), '- **acme** — Acme Corp'); + assert.strictEqual(messages[2].role, vscode.LanguageModelChatMessageRole.User); + }); + + test('skips response turns with no markdown content', () => { + const context = { + history: [ + responseTurn(''), + requestTurn('hello') + ] + } as unknown as vscode.ChatContext; + + const messages = historyToMessages(context); + assert.strictEqual(messages.length, 1); + assert.strictEqual(messages[0].role, vscode.LanguageModelChatMessageRole.User); + }); + + test('returns no messages for an empty history', () => { + const messages = historyToMessages({ history: [] } as unknown as vscode.ChatContext); + assert.strictEqual(messages.length, 0); + }); +}); diff --git a/github-enterprise-agent-sample/src/test/suite/extension.test.ts b/github-enterprise-agent-sample/src/test/suite/extension.test.ts new file mode 100644 index 0000000000..b9229b380a --- /dev/null +++ b/github-enterprise-agent-sample/src/test/suite/extension.test.ts @@ -0,0 +1,158 @@ +import * as assert from 'assert'; +import * as vscode from 'vscode'; +import { GitHubService } from '../../ghes'; +import { createAgentHandler } from '../../agent'; + +const EXTENSION_ID = 'vscode-samples.github-enterprise-agent-sample'; + +const COMMANDS = [ + 'github-enterprise-agent-sample.openAgentChat', + 'github-enterprise-agent-sample.whoami', + 'github-enterprise-agent-sample.listOrgRepos', + 'github-enterprise-agent-sample.setNvidiaApiKey', + 'github-enterprise-agent-sample.setMistralApiKey' +]; + +suite('Extension', () => { + suiteSetup(async function () { + this.timeout(60000); + const extension = vscode.extensions.getExtension(EXTENSION_ID); + assert.ok(extension, `extension ${EXTENSION_ID} not found`); + await extension.activate(); + }); + + test('activates', () => { + assert.strictEqual(vscode.extensions.getExtension(EXTENSION_ID)?.isActive, true); + }); + + test('registers all commands', async () => { + const registered = await vscode.commands.getCommands(true); + for (const command of COMMANDS) { + assert.ok(registered.includes(command), `command not registered: ${command}`); + } + }); + + test('registers the chat participant and model providers', async function () { + this.timeout(20000); + // The selectChatModels queries below resolve through the providers that + // the extension registered during activation, so they prove that both + // the chat participant wiring and the model providers are live. + const nvidia = await vscode.lm.selectChatModels({ vendor: 'nvidia' }); + const mistral = await vscode.lm.selectChatModels({ vendor: 'mistral' }); + assert.ok(nvidia.length > 0, 'no NVIDIA models resolved'); + assert.ok(mistral.length > 0, 'no Mistral models resolved'); + }); + + test('provides the NVIDIA models', async function () { + this.timeout(20000); + // The provider discovers the live catalog from the NVIDIA API, so the + // retired model must be gone and a verified-live model must be present. + const models = await vscode.lm.selectChatModels({ vendor: 'nvidia' }); + const ids = models.map(model => model.id); + assert.ok(ids.includes('meta/llama-3.2-11b-vision-instruct'), `live model not provided (got ${ids.join(', ')})`); + assert.ok(!ids.includes('meta/llama-3.3-70b-instruct'), 'retired model is still provided'); + assert.ok(models.every(model => model.vendor === 'nvidia'), `unexpected vendor: ${models.map(model => model.vendor).join(', ')}`); + }); + + test('provides the Mistral models', async function () { + this.timeout(20000); + const models = await vscode.lm.selectChatModels({ vendor: 'mistral' }); + const ids = models.map(model => model.id); + for (const expected of ['mistral-large-latest', 'mistral-small-latest', 'codestral-latest', 'ministral-8b-latest']) { + assert.ok(ids.includes(expected), `model not provided: ${expected} (got ${ids.join(', ')})`); + } + assert.ok(models.every(model => model.vendor === 'mistral'), `unexpected vendor: ${models.map(model => model.vendor).join(', ')}`); + }); + + test('counts tokens through the language model API', async function () { + this.timeout(20000); + const models = await vscode.lm.selectChatModels({ vendor: 'mistral' }); + assert.ok(models.length > 0, 'no Mistral model available'); + assert.strictEqual(await models[0].countTokens('hello world'), 3); + }); +}); + +suite('GitHubService', () => { + // The service only reads from the context, so a minimal object is enough. + const context = {} as unknown as vscode.ExtensionContext; + + test('defaults to github.com', () => { + const service = new GitHubService(context); + assert.strictEqual(service.host, 'https://github.com'); + assert.strictEqual(service.providerId, 'github'); + assert.strictEqual(service.apiBaseUrl, undefined); + }); + + test('uses the github.enterprise provider for a GitHub Enterprise Server host', async function () { + this.timeout(20000); + const config = vscode.workspace.getConfiguration('githubEnterpriseAgent'); + await config.update('host', 'https://ghe.example.com/', vscode.ConfigurationTarget.Global); + try { + const service = new GitHubService(context); + assert.strictEqual(service.host, 'https://ghe.example.com'); + assert.strictEqual(service.providerId, 'github.enterprise'); + assert.strictEqual(service.apiBaseUrl, 'https://ghe.example.com/api/v3'); + } finally { + await config.update('host', undefined, vscode.ConfigurationTarget.Global); + } + }); + + test('returns no octokit when not signed in', async function () { + this.timeout(20000); + const service = new GitHubService(context); + assert.strictEqual(await service.getOctokit(false), undefined); + }); +}); + +suite('Agent handler', () => { + const github = new GitHubService({} as unknown as vscode.ExtensionContext); + + function mockStream(): { stream: vscode.ChatResponseStream; markdown: string[] } { + const markdown: string[] = []; + const stream = { + progress: () => { }, + markdown: (value: string | vscode.MarkdownString) => { markdown.push(typeof value === 'string' ? value : value.value); } + } as unknown as vscode.ChatResponseStream; + return { stream, markdown }; + } + + function mockModel(responseText: string): vscode.LanguageModelChat { + const response = { text: (async function* () { yield responseText; })() } as unknown as vscode.LanguageModelChatResponse; + return { + id: 'mock-model', + vendor: 'mock', + family: 'mock-family', + version: '1.0.0', + name: 'Mock Model', + sendRequest: async () => response, + countTokens: async () => 1 + } as unknown as vscode.LanguageModelChat; + } + + test('streams the model response for free-form chat', async () => { + const handler = createAgentHandler(github); + const { stream, markdown } = mockStream(); + const request = { prompt: 'hello', command: undefined, model: mockModel('Hello from the mock model') } as unknown as vscode.ChatRequest; + const result = await handler(request, {} as unknown as vscode.ChatContext, stream, new vscode.CancellationTokenSource().token); + const metadata = result?.metadata as { command: string } | undefined; + assert.strictEqual(markdown.join(''), 'Hello from the mock model'); + assert.strictEqual(metadata?.command, ''); + }); + + test('reports a helpful error for /orgs on a GitHub Enterprise host without the auth provider', async function () { + this.timeout(20000); + const config = vscode.workspace.getConfiguration('githubEnterpriseAgent'); + await config.update('host', 'https://ghe.example.com', vscode.ConfigurationTarget.Global); + try { + const handler = createAgentHandler(github); + const { stream } = mockStream(); + const request = { prompt: '', command: 'orgs' } as unknown as vscode.ChatRequest; + await assert.rejects( + async () => { await handler(request, {} as unknown as vscode.ChatContext, stream, new vscode.CancellationTokenSource().token); }, + /No GitHub Enterprise authentication provider found/ + ); + } finally { + await config.update('host', undefined, vscode.ConfigurationTarget.Global); + } + }); +}); diff --git a/github-enterprise-agent-sample/src/test/suite/index.ts b/github-enterprise-agent-sample/src/test/suite/index.ts new file mode 100644 index 0000000000..cbc0eefcb4 --- /dev/null +++ b/github-enterprise-agent-sample/src/test/suite/index.ts @@ -0,0 +1,40 @@ +import * as path from 'path'; +import Mocha = require('mocha'); +import glob = require('glob'); + +export function run(): Promise { + // Create the mocha test + const mocha = new Mocha({ + ui: 'tdd', + timeout: 30000 + }); + + const testsRoot = path.resolve(__dirname, '..'); + + return new Promise((resolve, reject) => { + glob('**/**.test.js', { cwd: testsRoot }, (err, files) => { + if (err) { + return reject(err); + } + + // Add files to the test suite + for (const file of files) { + mocha.addFile(path.resolve(testsRoot, file)); + } + + try { + // Run the mocha test + mocha.run(failures => { + if (failures > 0) { + reject(new Error(`${failures} tests failed.`)); + } else { + resolve(); + } + }); + } catch (err) { + console.error(err); + reject(err); + } + }); + }); +} diff --git a/github-enterprise-agent-sample/src/test/suite/realApi.test.ts b/github-enterprise-agent-sample/src/test/suite/realApi.test.ts new file mode 100644 index 0000000000..3488815b78 --- /dev/null +++ b/github-enterprise-agent-sample/src/test/suite/realApi.test.ts @@ -0,0 +1,96 @@ +import * as assert from 'assert'; +import * as vscode from 'vscode'; +import { NvidiaChatModelProvider } from '../../providers/nvidia'; + +const EXTENSION_ID = 'vscode-samples.github-enterprise-agent-sample'; +// The key is read from the environment and never stored in the repository. +const NVIDIA_API_KEY = process.env.NVIDIA_API_KEY; +// A model verified to be served and invokable by https://integrate.api.nvidia.com/v1. +const LIVE_MODEL_ID = 'meta/llama-3.2-11b-vision-instruct'; +// A model the NVIDIA API has retired, used to verify that API errors surface. +const RETIRED_MODEL_ID = 'meta/llama-3.3-70b-instruct'; + +function secretStorageWith(key: string): vscode.SecretStorage { + const storage = new Map([['github-enterprise-agent-sample.nvidiaApiKey', key]]); + return { + get: async (k: string) => storage.get(k), + store: async (k: string, value: string) => { storage.set(k, value); }, + delete: async (k: string) => { storage.delete(k); }, + onDidChange: () => new vscode.Disposable(() => { }), + keys: () => Array.from(storage.keys()) + } as unknown as vscode.SecretStorage; +} + +suite('Real NVIDIA API', function () { + // Runs against the real https://integrate.api.nvidia.com/v1 endpoint and + // is skipped unless NVIDIA_API_KEY is set. + if (!NVIDIA_API_KEY) { + test('skipped: set NVIDIA_API_KEY to run against the real endpoint', () => { }); + return; + } + + this.timeout(120000); + + let models: vscode.LanguageModelChat[]; + + suiteSetup(async function () { + const extension = vscode.extensions.getExtension(EXTENSION_ID); + assert.ok(extension, `extension ${EXTENSION_ID} not found`); + await extension.activate(); + // Store the key in the extension's real secret storage via the + // extension's own command, so the full VS Code language model API path + // (selectChatModels -> sendRequest) runs against the real endpoint + // through the provider the extension registered. + await vscode.commands.executeCommand('github-enterprise-agent-sample.setNvidiaApiKey', NVIDIA_API_KEY); + models = await vscode.lm.selectChatModels({ vendor: 'nvidia' }); + assert.ok(models.length > 0, 'no models discovered from the live API'); + }); + + test('discovers the live model catalog from the API', () => { + const ids = models.map(model => model.id); + assert.ok( + ids.includes(LIVE_MODEL_ID), + `the live catalog does not contain ${LIVE_MODEL_ID}; got: ${ids.join(', ')}` + ); + assert.ok(!ids.includes(RETIRED_MODEL_ID), 'retired model is still in the live catalog'); + }); + + test('streams a real completion end to end', async () => { + const model = models.find(m => m.id === LIVE_MODEL_ID); + assert.ok(model, `model ${LIVE_MODEL_ID} not found`); + const response = await model.sendRequest( + [vscode.LanguageModelChatMessage.User('Reply with exactly: HELLO_FROM_NVIDIA. Do not use any tools; reply with plain text only.')], + {}, + new vscode.CancellationTokenSource().token + ); + let text = ''; + for await (const fragment of response.text) { + text += fragment; + } + assert.ok(text.includes('HELLO_FROM_NVIDIA'), `unexpected streamed text: ${JSON.stringify(text)}`); + }); + + test('surfaces API errors for retired models', async () => { + const provider = new NvidiaChatModelProvider(secretStorageWith(NVIDIA_API_KEY)); + const modelInfo = { + id: RETIRED_MODEL_ID, + name: RETIRED_MODEL_ID, + family: 'nvidia', + version: '1.0.0', + maxInputTokens: 128000, + maxOutputTokens: 8192 + } as vscode.LanguageModelChatInformation; + const parts: vscode.LanguageModelTextPart[] = []; + await assert.rejects( + () => provider.provideLanguageModelChatResponse( + modelInfo, + [vscode.LanguageModelChatMessage.User('hello')], + {} as vscode.ProvideLanguageModelChatResponseOptions, + { report: (part: vscode.LanguageModelTextPart) => { parts.push(part); } }, + new vscode.CancellationTokenSource().token + ), + /request failed/ + ); + assert.strictEqual(parts.length, 0, 'no parts should be reported for a failed request'); + }); +}); \ No newline at end of file diff --git a/github-enterprise-agent-sample/src/test/suite/responses.test.ts b/github-enterprise-agent-sample/src/test/suite/responses.test.ts new file mode 100644 index 0000000000..a64dbdecb2 --- /dev/null +++ b/github-enterprise-agent-sample/src/test/suite/responses.test.ts @@ -0,0 +1,202 @@ +import * as assert from 'assert'; +import * as vscode from 'vscode'; +import { ResponsesEvent, ResponsesOrchestrator, Subagent, UpstreamTurn, agentProtocolPrompt, parseUpstreamTurn } from '../../providers/responses'; + +function collect(): { events: ResponsesEvent[]; emit: (event: ResponsesEvent) => void } { + const events: ResponsesEvent[] = []; + return { events, emit: event => events.push(event) }; +} + +function types(events: ResponsesEvent[]): string[] { + return events.map(event => event.type); +} + +suite('parseUpstreamTurn', () => { + test('parses plain text with no markers', () => { + const turn = parseUpstreamTurn('just the answer'); + assert.strictEqual(turn.thinking, ''); + assert.strictEqual(turn.plan, ''); + assert.strictEqual(turn.text, 'just the answer'); + assert.strictEqual(turn.toolCalls.length, 0); + }); + + test('parses thinking, plan, and tool markers', () => { + const turn = parseUpstreamTurn('need to find filessearch; readprefix {"include": "**/*.ts"} suffix'); + assert.strictEqual(turn.thinking, 'need to find files'); + assert.strictEqual(turn.plan, 'search; read'); + assert.strictEqual(turn.text, 'prefix suffix'); + assert.strictEqual(turn.toolCalls.length, 1); + assert.strictEqual(turn.toolCalls[0].name, 'search'); + assert.strictEqual(turn.toolCalls[0].arguments, '{"include": "**/*.ts"}'); + }); + + test('parses multiple tool calls and multiline markers', () => { + const turn = parseUpstreamTurn('\n{"command": "npm test"}\n{"include": "src/**"}'); + assert.strictEqual(turn.toolCalls.length, 2); + assert.strictEqual(turn.toolCalls[0].name, 'test'); + assert.strictEqual(turn.toolCalls[0].arguments, '{"command": "npm test"}'); + assert.strictEqual(turn.toolCalls[1].name, 'search'); + }); + + test('handles a tool marker with a missing name', () => { + const turn = parseUpstreamTurn('{"include": "x"}'); + assert.strictEqual(turn.toolCalls.length, 1); + assert.strictEqual(turn.toolCalls[0].name, 'unknown'); + }); + + test('handles tool markers without closing tags', () => { + const turn = parseUpstreamTurn('{"include": "a"}; {"include": "b"}'); + assert.strictEqual(turn.toolCalls.length, 2); + assert.strictEqual(turn.toolCalls[0].name, 'search'); + assert.ok(turn.toolCalls[0].arguments.includes('"a"')); + assert.strictEqual(turn.toolCalls[1].name, 'search'); + assert.ok(turn.toolCalls[1].arguments.includes('"b"')); + assert.strictEqual(turn.text, '', 'no raw markers should leak into the text'); + }); +}); + +suite('agentProtocolPrompt', () => { + test('includes the instructions and the tool markers', () => { + const prompt = agentProtocolPrompt('Fix the bug.'); + assert.ok(prompt.includes('Fix the bug.')); + assert.ok(prompt.includes('')); + assert.ok(prompt.includes('')); + }); +}); + +suite('ResponsesOrchestrator', () => { + function fakeSubagent(name: string, result: string, calls: { args: Record }[] = []): Subagent { + return { + name, + run: async (args, _token) => { + calls.push({ args }); + return result; + } + }; + } + + test('emits session start, output, and completed for a plain turn', async () => { + const { events, emit } = collect(); + const orchestrator = new ResponsesOrchestrator( + async () => ({ thinking: '', plan: '', text: 'final answer', toolCalls: [] }), + new Map() + ); + const session = orchestrator.startSession('test-model', ''); + await orchestrator.run(session, 'hello', emit, new vscode.CancellationTokenSource().token); + + assert.deepStrictEqual(types(events), [ + 'response.created', + 'response.output_item.added', + 'response.output_text.delta', + 'response.output_item.done', + 'response.completed' + ]); + const created = events[0] as Extract; + assert.strictEqual(created.model, 'test-model'); + assert.strictEqual(created.response_id, session.id); + const delta = events[2] as Extract; + assert.strictEqual(delta.delta, 'final answer'); + }); + + test('emits reasoning and plan events when the model thinks', async () => { + const { events, emit } = collect(); + const orchestrator = new ResponsesOrchestrator( + async () => ({ thinking: 'why', plan: 'step 1; step 2', text: 'done', toolCalls: [] }), + new Map() + ); + const session = orchestrator.startSession('test-model', ''); + await orchestrator.run(session, 'hello', emit, new vscode.CancellationTokenSource().token); + + assert.ok(types(events).includes('response.reasoning_summary_text.delta')); + const planItem = events.find(event => event.type === 'response.output_item.done' && (event as { item: { summary?: string } }).item.summary?.startsWith('plan: ')); + assert.ok(planItem, 'expected a plan item'); + }); + + test('runs subagents for tool calls and feeds results back upstream', async () => { + const { events, emit } = collect(); + const searchCalls: { args: Record }[] = []; + let upstreamCalls = 0; + const turns: UpstreamTurn[] = [ + { thinking: '', plan: '', text: '', toolCalls: [{ name: 'search', arguments: '{"include": "**/*.ts"}' }] }, + { thinking: '', plan: '', text: 'found 2 files', toolCalls: [] } + ]; + const orchestrator = new ResponsesOrchestrator( + async () => { + const turn = turns[Math.min(upstreamCalls, turns.length - 1)]; + upstreamCalls += 1; + return turn; + }, + new Map([['search', fakeSubagent('search', 'a.ts\nb.ts', searchCalls)]]) + ); + const session = orchestrator.startSession('test-model', ''); + await orchestrator.run(session, 'find ts files', emit, new vscode.CancellationTokenSource().token); + + assert.strictEqual(upstreamCalls, 2, 'expected one upstream call per iteration'); + assert.strictEqual(searchCalls.length, 1); + assert.deepStrictEqual(searchCalls[0].args, { include: '**/*.ts' }); + assert.ok(types(events).includes('response.function_call_arguments.delta')); + const outputItem = events.find(event => event.type === 'response.output_item.done' && (event as { item: { type?: string; output?: string } }).item.type === 'function_call_output') as { item: { output: string } } | undefined; + assert.ok(outputItem, 'expected a function_call_output item'); + assert.strictEqual(outputItem.item.output, 'a.ts\nb.ts'); + // the tool result is fed back into the session history for the next upstream call + assert.ok(session.messages.some(message => message.role === 'user' && message.content.includes('tool search result: a.ts\nb.ts'))); + assert.strictEqual(types(events).at(-1), 'response.completed'); + }); + + test('reports unknown tools without failing the loop', async () => { + const { events, emit } = collect(); + let upstreamCalls = 0; + const turns: UpstreamTurn[] = [ + { thinking: '', plan: '', text: '', toolCalls: [{ name: 'nope', arguments: '{}' }] }, + { thinking: '', plan: '', text: 'gave up', toolCalls: [] } + ]; + const orchestrator = new ResponsesOrchestrator( + async () => { + const turn = turns[Math.min(upstreamCalls, turns.length - 1)]; + upstreamCalls += 1; + return turn; + }, + new Map() + ); + const session = orchestrator.startSession('test-model', ''); + await orchestrator.run(session, 'hello', emit, new vscode.CancellationTokenSource().token); + + const outputItem = events.find(event => event.type === 'response.output_item.done' && (event as { item: { type?: string; output?: string } }).item.type === 'function_call_output') as { item: { output: string } } | undefined; + assert.ok(outputItem); + assert.strictEqual(outputItem.item.output, 'unknown tool: nope'); + assert.strictEqual(types(events).at(-1), 'response.completed'); + }); + + test('stops after max iterations when the model keeps calling tools', async () => { + const { events, emit } = collect(); + let upstreamCalls = 0; + const orchestrator = new ResponsesOrchestrator( + async () => { + upstreamCalls += 1; + return { thinking: '', plan: '', text: '', toolCalls: [{ name: 'search', arguments: '{}' }] }; + }, + new Map([['search', fakeSubagent('search', 'x')]]) + ); + const session = orchestrator.startSession('test-model', ''); + await orchestrator.run(session, 'hello', emit, new vscode.CancellationTokenSource().token); + + assert.strictEqual(upstreamCalls, 5, 'expected the loop to stop at 5 iterations'); + assert.strictEqual(session.iterations, 5); + assert.strictEqual(types(events).at(-1), 'response.completed'); + }); + + test('stops immediately when cancelled', async () => { + const { events, emit } = collect(); + const source = new vscode.CancellationTokenSource(); + source.cancel(); + const orchestrator = new ResponsesOrchestrator( + async () => ({ thinking: '', plan: '', text: 'never', toolCalls: [] }), + new Map() + ); + const session = orchestrator.startSession('test-model', ''); + await orchestrator.run(session, 'hello', emit, source.token); + + assert.deepStrictEqual(types(events), ['response.created', 'response.completed']); + assert.strictEqual(session.iterations, 0); + }); +}); diff --git a/github-enterprise-agent-sample/src/test/suite/streaming.test.ts b/github-enterprise-agent-sample/src/test/suite/streaming.test.ts new file mode 100644 index 0000000000..1d3029916c --- /dev/null +++ b/github-enterprise-agent-sample/src/test/suite/streaming.test.ts @@ -0,0 +1,219 @@ +import * as assert from 'assert'; +import * as http from 'http'; +import * as net from 'net'; +import * as vscode from 'vscode'; +import { OpenAICompatibleChatModelProvider, OpenAICompatibleModelInfo } from '../../providers/openaiCompatible'; +import { agentProtocolPrompt } from '../../providers/responses'; + +class MockSecretStorage implements vscode.SecretStorage { + private readonly values = new Map(); + private readonly emitter = new vscode.EventEmitter(); + readonly onDidChange = this.emitter.event; + + async get(key: string): Promise { + return this.values.get(key); + } + + async store(key: string, value: string): Promise { + this.values.set(key, value); + this.emitter.fire({ key }); + } + + async delete(key: string): Promise { + this.values.delete(key); + this.emitter.fire({ key }); + } + + async keys(): Promise { + return [...this.values.keys()]; + } +} + +class TestChatModelProvider extends OpenAICompatibleChatModelProvider { + constructor(baseUrl: string, secrets: vscode.SecretStorage) { + const models: OpenAICompatibleModelInfo[] = [{ + id: 'test-model', + name: 'Test Model', + tooltip: 'Test model served by a local server.', + maxInputTokens: 8192, + maxOutputTokens: 4096 + }]; + super('test-vendor', 'test-family', baseUrl, models, secrets, 'test.apiKey', 'Set Test API Key'); + } +} + +interface StartedServer { + server: http.Server; + baseUrl: string; + requestBodies: string[]; + authHeaders: string[]; +} + +// Serves an OpenAI-compatible /chat/completions endpoint that replies with +// server-sent events, so the streaming logic is tested end to end without +// touching an external API. +function startSseServer(sseChunks: string[], status = 200, holdOpenMs = 0): Promise { + return new Promise(resolve => { + const requestBodies: string[] = []; + const authHeaders: string[] = []; + const server = http.createServer((req, res) => { + let body = ''; + req.on('data', chunk => body += chunk); + req.on('end', () => { + requestBodies.push(body); + authHeaders.push(String(req.headers.authorization ?? '')); + res.writeHead(status, { 'Content-Type': status === 200 ? 'text/event-stream' : 'application/json' }); + for (const chunk of sseChunks) { + res.write(chunk); + } + if (holdOpenMs > 0) { + setTimeout(() => res.end(), holdOpenMs); + } else { + res.end(); + } + }); + }); + server.listen(0, '127.0.0.1', () => { + const { port } = server.address() as net.AddressInfo; + resolve({ server, baseUrl: `http://127.0.0.1:${port}/v1`, requestBodies, authHeaders }); + }); + }); +} + +function stopServer(server: http.Server): void { + server.closeAllConnections(); + server.close(); +} + +function modelInfo(): vscode.LanguageModelChatInformation { + return { + id: 'test-model', + name: 'Test Model', + tooltip: 'Test model served by a local server.', + family: 'test-family', + version: '1.0.0', + maxInputTokens: 8192, + maxOutputTokens: 4096, + capabilities: { + toolCalling: false, + imageInput: false + } + }; +} + +function requestMessage(text: string): vscode.LanguageModelChatRequestMessage { + return { + role: vscode.LanguageModelChatMessageRole.User, + content: [new vscode.LanguageModelTextPart(text)], + name: 'user' + }; +} + +const NOOP_OPTIONS = {} as vscode.ProvideLanguageModelChatResponseOptions; + +suite('OpenAI-compatible provider', () => { + test('provides model information', async () => { + const { server, baseUrl } = await startSseServer([]); + try { + const provider = new TestChatModelProvider(baseUrl, new MockSecretStorage()); + const models = await provider.provideLanguageModelChatInformation({ silent: true }, new vscode.CancellationTokenSource().token); + assert.ok(models, 'no model information returned'); + assert.strictEqual(models.length, 1); + assert.strictEqual(models[0].id, 'test-model'); + assert.strictEqual(models[0].family, 'test-family'); + } finally { + stopServer(server); + } + }); + + test('counts tokens as roughly one token per four characters', async () => { + const { server, baseUrl } = await startSseServer([]); + try { + const provider = new TestChatModelProvider(baseUrl, new MockSecretStorage()); + assert.strictEqual(await provider.provideTokenCount(modelInfo(), 'hello world', new vscode.CancellationTokenSource().token), 3); + assert.strictEqual(await provider.provideTokenCount(modelInfo(), requestMessage('hello world'), new vscode.CancellationTokenSource().token), 3); + } finally { + stopServer(server); + } + }); + + test('rejects when no API key is configured', async () => { + const { server, baseUrl } = await startSseServer([]); + try { + const provider = new TestChatModelProvider(baseUrl, new MockSecretStorage()); + await assert.rejects( + () => provider.provideLanguageModelChatResponse(modelInfo(), [requestMessage('hi')], NOOP_OPTIONS, { report: () => { } }, new vscode.CancellationTokenSource().token), + /No API key configured for test-vendor/ + ); + } finally { + stopServer(server); + } + }); + + test('streams text deltas from server-sent events', async () => { + const { server, baseUrl, requestBodies, authHeaders } = await startSseServer([ + 'data: {"choices":[{"delta":{"content":"Hello"}}]}\n\n', + ': keep-alive\n\n', + 'data: {"choices":[{"delta":{"content":" world"}}]}\n\n', + 'data: [DONE]\n\n' + ]); + try { + const secrets = new MockSecretStorage(); + const provider = new TestChatModelProvider(baseUrl, secrets); + await secrets.store('test.apiKey', 'test-key'); + + const parts: string[] = []; + await provider.provideLanguageModelChatResponse( + modelInfo(), + [requestMessage('hi')], + NOOP_OPTIONS, + { report: part => { if (part instanceof vscode.LanguageModelTextPart) { parts.push(part.value); } } }, + new vscode.CancellationTokenSource().token + ); + + assert.strictEqual(parts.join(''), 'Hello world'); + assert.strictEqual(requestBodies.length, 1); + assert.strictEqual(authHeaders[0], 'Bearer test-key'); + const sent = JSON.parse(requestBodies[0]); + assert.strictEqual(sent.model, 'test-model'); + assert.deepStrictEqual(sent.messages, [{ role: 'system', content: agentProtocolPrompt('') }, { role: 'user', content: 'hi' }]); + assert.strictEqual(sent.stream, true); + } finally { + stopServer(server); + } + }); + + test('rejects on an HTTP error response', async () => { + const { server, baseUrl } = await startSseServer(['{"error": "boom"}'], 500); + try { + const secrets = new MockSecretStorage(); + const provider = new TestChatModelProvider(baseUrl, secrets); + await secrets.store('test.apiKey', 'test-key'); + await assert.rejects( + () => provider.provideLanguageModelChatResponse(modelInfo(), [requestMessage('hi')], NOOP_OPTIONS, { report: () => { } }, new vscode.CancellationTokenSource().token), + /request failed: 500/ + ); + } finally { + stopServer(server); + } + }); + + test('cancels an in-flight request', async function () { + this.timeout(10000); + const { server, baseUrl } = await startSseServer(['data: {"choices":[{"delta":{"content":"partial"}}]}\n\n'], 200, 60000); + try { + const secrets = new MockSecretStorage(); + const provider = new TestChatModelProvider(baseUrl, secrets); + await secrets.store('test.apiKey', 'test-key'); + + const cts = new vscode.CancellationTokenSource(); + const response = provider.provideLanguageModelChatResponse(modelInfo(), [requestMessage('hi')], NOOP_OPTIONS, { report: () => { } }, cts.token); + // Wait for the first chunk to arrive, then cancel. + await new Promise(resolve => setTimeout(resolve, 500)); + cts.cancel(); + await assert.rejects(() => response); + } finally { + stopServer(server); + } + }); +}); diff --git a/github-enterprise-agent-sample/tsconfig.json b/github-enterprise-agent-sample/tsconfig.json new file mode 100644 index 0000000000..c7ff37ec2d --- /dev/null +++ b/github-enterprise-agent-sample/tsconfig.json @@ -0,0 +1,15 @@ +{ + "compilerOptions": { + "module": "Node16", + "target": "ES2024", + "lib": [ + "ES2024", + "DOM" + ], + "sourceMap": true, + "rootDir": "src", + "strict": true, /* enable all strict type-checking options */ + "outDir": "out", + "skipLibCheck": true /* Skip type checking of declaration files */ + } +} diff --git a/github-enterprise-agent-sample/webpack.config.js b/github-enterprise-agent-sample/webpack.config.js new file mode 100644 index 0000000000..820955a92e --- /dev/null +++ b/github-enterprise-agent-sample/webpack.config.js @@ -0,0 +1,66 @@ +/*--------------------------------------------------------------------------------------------- + * Copyright (c) Microsoft Corporation. All rights reserved. + * Licensed under the MIT License. See License.txt in the project root for license information. + *--------------------------------------------------------------------------------------------*/ + +//@ts-check +'use strict'; + +/** @typedef {import('webpack').Configuration} WebpackConfig **/ + +const path = require('path'); +const webpack = require('webpack'); + +/** @type WebpackConfig */ +const webExtensionConfig = { + mode: 'none', // this leaves the source code as close as possible to the original (when packaging we set this to 'production') + target: 'webworker', // extensions run in a webworker context + entry: { + extension: './src/extension.ts', // source of the web extension main file + }, + output: { + filename: '[name].js', + path: path.join(__dirname, './dist/web'), + libraryTarget: 'commonjs', + }, + resolve: { + mainFields: ['browser', 'module', 'main'], // look for `browser` entry point in imported node modules + extensions: ['.ts', '.js'], // support ts-files and js-files + alias: { + // provides alternate implementation for node module and source files + }, + fallback: { + // Webpack 5 no longer polyfills Node.js core modules automatically. + // see https://webpack.js.org/configuration/resolve/#resolvefallback + // for the list of Node.js core module polyfills. + assert: require.resolve('assert'), + }, + }, + module: { + rules: [ + { + test: /\.ts$/, + exclude: /node_modules/, + use: [ + { + loader: 'ts-loader', + }, + ], + }, + ], + }, + plugins: [ + new webpack.ProvidePlugin({ + process: 'process/browser', // provide a shim for the global `process` variable + }), + ], + externals: { + vscode: 'commonjs vscode', // ignored because it doesn't exist + }, + performance: { + hints: false, + }, + devtool: 'nosources-source-map', // create a source map that points to the original source file +}; + +module.exports = [webExtensionConfig];