feat(ai,coding-agent): add faux provider and ModelRegistry factories
This commit is contained in:
Mario Zechner
@@ -7,6 +7,7 @@ export * from "./models.js";
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export type { BedrockOptions } from "./providers/amazon-bedrock.js";
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export type { AnthropicOptions } from "./providers/anthropic.js";
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export type { AzureOpenAIResponsesOptions } from "./providers/azure-openai-responses.js";
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export * from "./providers/faux.js";
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export type { GoogleOptions } from "./providers/google.js";
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export type { GoogleGeminiCliOptions, GoogleThinkingLevel } from "./providers/google-gemini-cli.js";
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export type { GoogleVertexOptions } from "./providers/google-vertex.js";
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498
packages/ai/src/providers/faux.ts
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498
packages/ai/src/providers/faux.ts
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@@ -0,0 +1,498 @@
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import { registerApiProvider, unregisterApiProviders } from "../api-registry.js";
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import type {
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AssistantMessage,
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AssistantMessageEventStream,
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Context,
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ImageContent,
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Message,
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Model,
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SimpleStreamOptions,
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StreamFunction,
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StreamOptions,
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TextContent,
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ThinkingContent,
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ToolCall,
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ToolResultMessage,
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Usage,
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} from "../types.js";
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import { createAssistantMessageEventStream } from "../utils/event-stream.js";
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const DEFAULT_API = "faux";
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const DEFAULT_PROVIDER = "faux";
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const DEFAULT_MODEL_ID = "faux-1";
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const DEFAULT_MODEL_NAME = "Faux Model";
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const DEFAULT_BASE_URL = "http://localhost:0";
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const DEFAULT_MIN_TOKEN_SIZE = 3;
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const DEFAULT_MAX_TOKEN_SIZE = 5;
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const DEFAULT_USAGE: Usage = {
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input: 0,
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output: 0,
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cacheRead: 0,
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cacheWrite: 0,
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totalTokens: 0,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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};
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export interface FauxModelDefinition {
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id: string;
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name?: string;
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reasoning?: boolean;
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input?: ("text" | "image")[];
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cost?: { input: number; output: number; cacheRead: number; cacheWrite: number };
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contextWindow?: number;
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maxTokens?: number;
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}
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export type FauxContentBlock = TextContent | ThinkingContent | ToolCall;
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export function fauxText(text: string): TextContent {
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return { type: "text", text };
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}
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export function fauxThinking(thinking: string): ThinkingContent {
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return { type: "thinking", thinking };
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}
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export function fauxToolCall(name: string, arguments_: ToolCall["arguments"], options: { id?: string } = {}): ToolCall {
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return {
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type: "toolCall",
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id: options.id ?? randomId("tool"),
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name,
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arguments: arguments_,
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};
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}
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function normalizeFauxAssistantContent(content: string | FauxContentBlock | FauxContentBlock[]): FauxContentBlock[] {
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if (typeof content === "string") {
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return [fauxText(content)];
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}
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return Array.isArray(content) ? content : [content];
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}
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export function fauxAssistantMessage(
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content: string | FauxContentBlock | FauxContentBlock[],
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options: {
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stopReason?: AssistantMessage["stopReason"];
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errorMessage?: string;
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responseId?: string;
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timestamp?: number;
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} = {},
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): AssistantMessage {
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return {
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role: "assistant",
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content: normalizeFauxAssistantContent(content),
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api: DEFAULT_API,
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provider: DEFAULT_PROVIDER,
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model: DEFAULT_MODEL_ID,
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usage: DEFAULT_USAGE,
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stopReason: options.stopReason ?? "stop",
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errorMessage: options.errorMessage,
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responseId: options.responseId,
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timestamp: options.timestamp ?? Date.now(),
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};
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}
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export type FauxResponseFactory = (
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context: Context,
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options: StreamOptions | undefined,
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state: { callCount: number },
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model: Model<string>,
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) => AssistantMessage | Promise<AssistantMessage>;
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export type FauxResponseStep = AssistantMessage | FauxResponseFactory;
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export interface RegisterFauxProviderOptions {
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api?: string;
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provider?: string;
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models?: FauxModelDefinition[];
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tokensPerSecond?: number;
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tokenSize?: {
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min?: number;
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max?: number;
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};
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}
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export interface FauxProviderRegistration {
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api: string;
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models: [Model<string>, ...Model<string>[]];
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getModel(): Model<string>;
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getModel(modelId: string): Model<string> | undefined;
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state: { callCount: number };
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setResponses: (responses: FauxResponseStep[]) => void;
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appendResponses: (responses: FauxResponseStep[]) => void;
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getPendingResponseCount: () => number;
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unregister: () => void;
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}
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function estimateTokens(text: string): number {
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return Math.ceil(text.length / 4);
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}
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function randomId(prefix: string): string {
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return `${prefix}:${Date.now()}:${Math.random().toString(36).slice(2)}`;
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}
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function contentToText(content: string | Array<TextContent | ImageContent>): string {
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if (typeof content === "string") {
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return content;
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}
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return content
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.map((block) => {
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if (block.type === "text") {
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return block.text;
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}
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return `[image:${block.mimeType}:${block.data.length}]`;
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})
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.join("\n");
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}
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function assistantContentToText(content: Array<TextContent | ThinkingContent | ToolCall>): string {
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return content
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.map((block) => {
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if (block.type === "text") {
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return block.text;
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}
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if (block.type === "thinking") {
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return block.thinking;
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}
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return `${block.name}:${JSON.stringify(block.arguments)}`;
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})
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.join("\n");
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}
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function toolResultToText(message: ToolResultMessage): string {
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return [message.toolName, ...message.content.map((block) => contentToText([block]))].join("\n");
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}
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function messageToText(message: Message): string {
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if (message.role === "user") {
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return contentToText(message.content);
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}
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if (message.role === "assistant") {
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return assistantContentToText(message.content);
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}
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return toolResultToText(message);
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}
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function serializeContext(context: Context): string {
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const parts: string[] = [];
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if (context.systemPrompt) {
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parts.push(`system:${context.systemPrompt}`);
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}
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for (const message of context.messages) {
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parts.push(`${message.role}:${messageToText(message)}`);
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}
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if (context.tools?.length) {
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parts.push(`tools:${JSON.stringify(context.tools)}`);
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}
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return parts.join("\n\n");
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}
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function commonPrefixLength(a: string, b: string): number {
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const length = Math.min(a.length, b.length);
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let index = 0;
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while (index < length && a[index] === b[index]) {
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index++;
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}
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return index;
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}
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function withUsageEstimate(
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message: AssistantMessage,
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context: Context,
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options: StreamOptions | undefined,
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promptCache: Map<string, string>,
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): AssistantMessage {
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const promptText = serializeContext(context);
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const promptTokens = estimateTokens(promptText);
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const outputTokens = estimateTokens(assistantContentToText(message.content));
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let input = promptTokens;
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let cacheRead = 0;
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let cacheWrite = 0;
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const sessionId = options?.sessionId;
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if (sessionId && options?.cacheRetention !== "none") {
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const previousPrompt = promptCache.get(sessionId);
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if (previousPrompt) {
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const cachedChars = commonPrefixLength(previousPrompt, promptText);
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cacheRead = estimateTokens(previousPrompt.slice(0, cachedChars));
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cacheWrite = estimateTokens(promptText.slice(cachedChars));
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input = Math.max(0, promptTokens - cacheRead);
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} else {
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cacheWrite = promptTokens;
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}
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promptCache.set(sessionId, promptText);
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}
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return {
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...message,
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usage: {
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input,
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output: outputTokens,
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cacheRead,
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cacheWrite,
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totalTokens: input + outputTokens + cacheRead + cacheWrite,
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
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},
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};
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}
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function splitStringByTokenSize(text: string, minTokenSize: number, maxTokenSize: number): string[] {
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const chunks: string[] = [];
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let index = 0;
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while (index < text.length) {
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const tokenSize = minTokenSize + Math.floor(Math.random() * (maxTokenSize - minTokenSize + 1));
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const charSize = Math.max(1, tokenSize * 4);
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chunks.push(text.slice(index, index + charSize));
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index += charSize;
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}
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return chunks.length > 0 ? chunks : [""];
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}
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function cloneMessage(message: AssistantMessage, api: string, provider: string, modelId: string): AssistantMessage {
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const cloned = structuredClone(message);
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return {
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...cloned,
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api,
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provider,
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model: modelId,
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timestamp: cloned.timestamp ?? Date.now(),
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usage: cloned.usage ?? DEFAULT_USAGE,
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};
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}
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function createErrorMessage(error: unknown, api: string, provider: string, modelId: string): AssistantMessage {
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return {
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role: "assistant",
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content: [],
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api,
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provider,
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model: modelId,
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usage: DEFAULT_USAGE,
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stopReason: "error",
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errorMessage: error instanceof Error ? error.message : String(error),
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timestamp: Date.now(),
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};
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}
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function createAbortedMessage(partial: AssistantMessage): AssistantMessage {
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return {
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...partial,
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stopReason: "aborted",
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errorMessage: "Request was aborted",
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timestamp: Date.now(),
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};
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}
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function scheduleChunk(chunk: string, tokensPerSecond: number | undefined): Promise<void> {
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if (!tokensPerSecond || tokensPerSecond <= 0) {
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return new Promise((resolve) => queueMicrotask(resolve));
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}
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const delayMs = (estimateTokens(chunk) / tokensPerSecond) * 1000;
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return new Promise((resolve) => setTimeout(resolve, delayMs));
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}
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async function streamWithDeltas(
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stream: AssistantMessageEventStream,
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message: AssistantMessage,
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minTokenSize: number,
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maxTokenSize: number,
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tokensPerSecond: number | undefined,
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signal: AbortSignal | undefined,
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): Promise<void> {
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const partial: AssistantMessage = { ...message, content: [] };
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if (signal?.aborted) {
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const aborted = createAbortedMessage(partial);
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stream.push({ type: "error", reason: "aborted", error: aborted });
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stream.end(aborted);
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return;
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}
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stream.push({ type: "start", partial: { ...partial } });
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for (let index = 0; index < message.content.length; index++) {
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if (signal?.aborted) {
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const aborted = createAbortedMessage(partial);
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stream.push({ type: "error", reason: "aborted", error: aborted });
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stream.end(aborted);
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return;
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}
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const block = message.content[index];
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if (block.type === "thinking") {
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partial.content = [...partial.content, { type: "thinking", thinking: "" }];
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stream.push({ type: "thinking_start", contentIndex: index, partial: { ...partial } });
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for (const chunk of splitStringByTokenSize(block.thinking, minTokenSize, maxTokenSize)) {
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await scheduleChunk(chunk, tokensPerSecond);
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if (signal?.aborted) {
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const aborted = createAbortedMessage(partial);
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stream.push({ type: "error", reason: "aborted", error: aborted });
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stream.end(aborted);
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return;
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}
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(partial.content[index] as ThinkingContent).thinking += chunk;
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stream.push({ type: "thinking_delta", contentIndex: index, delta: chunk, partial: { ...partial } });
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}
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stream.push({
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type: "thinking_end",
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contentIndex: index,
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content: block.thinking,
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partial: { ...partial },
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});
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continue;
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}
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if (block.type === "text") {
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partial.content = [...partial.content, { type: "text", text: "" }];
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stream.push({ type: "text_start", contentIndex: index, partial: { ...partial } });
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for (const chunk of splitStringByTokenSize(block.text, minTokenSize, maxTokenSize)) {
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await scheduleChunk(chunk, tokensPerSecond);
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if (signal?.aborted) {
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const aborted = createAbortedMessage(partial);
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stream.push({ type: "error", reason: "aborted", error: aborted });
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stream.end(aborted);
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return;
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}
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(partial.content[index] as TextContent).text += chunk;
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stream.push({ type: "text_delta", contentIndex: index, delta: chunk, partial: { ...partial } });
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}
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stream.push({ type: "text_end", contentIndex: index, content: block.text, partial: { ...partial } });
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continue;
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}
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partial.content = [...partial.content, { type: "toolCall", id: block.id, name: block.name, arguments: {} }];
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stream.push({ type: "toolcall_start", contentIndex: index, partial: { ...partial } });
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for (const chunk of splitStringByTokenSize(JSON.stringify(block.arguments), minTokenSize, maxTokenSize)) {
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await scheduleChunk(chunk, tokensPerSecond);
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if (signal?.aborted) {
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const aborted = createAbortedMessage(partial);
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stream.push({ type: "error", reason: "aborted", error: aborted });
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stream.end(aborted);
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return;
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}
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stream.push({ type: "toolcall_delta", contentIndex: index, delta: chunk, partial: { ...partial } });
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}
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(partial.content[index] as ToolCall).arguments = block.arguments;
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stream.push({ type: "toolcall_end", contentIndex: index, toolCall: block, partial: { ...partial } });
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}
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if (message.stopReason === "error" || message.stopReason === "aborted") {
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stream.push({ type: "error", reason: message.stopReason, error: message });
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stream.end(message);
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return;
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}
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stream.push({ type: "done", reason: message.stopReason, message });
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stream.end(message);
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}
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export function registerFauxProvider(options: RegisterFauxProviderOptions = {}): FauxProviderRegistration {
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const api = options.api ?? randomId(DEFAULT_API);
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const provider = options.provider ?? DEFAULT_PROVIDER;
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const sourceId = randomId("faux-provider");
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const minTokenSize = Math.max(
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1,
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Math.min(options.tokenSize?.min ?? DEFAULT_MIN_TOKEN_SIZE, options.tokenSize?.max ?? DEFAULT_MAX_TOKEN_SIZE),
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);
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const maxTokenSize = Math.max(minTokenSize, options.tokenSize?.max ?? DEFAULT_MAX_TOKEN_SIZE);
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let pendingResponses: FauxResponseStep[] = [];
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const tokensPerSecond = options.tokensPerSecond;
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const state = { callCount: 0 };
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const promptCache = new Map<string, string>();
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const modelDefinitions = options.models?.length
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? options.models
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: [
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{
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id: DEFAULT_MODEL_ID,
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name: DEFAULT_MODEL_NAME,
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reasoning: false,
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input: ["text", "image"] as ("text" | "image")[],
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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: 128000,
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maxTokens: 16384,
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},
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];
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const models = modelDefinitions.map((definition) => ({
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id: definition.id,
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name: definition.name ?? definition.id,
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api,
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provider,
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baseUrl: DEFAULT_BASE_URL,
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reasoning: definition.reasoning ?? false,
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input: definition.input ?? ["text", "image"],
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cost: definition.cost ?? { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
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contextWindow: definition.contextWindow ?? 128000,
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maxTokens: definition.maxTokens ?? 16384,
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})) as [Model<string>, ...Model<string>[]];
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const stream: StreamFunction<string, StreamOptions> = (requestModel, context, streamOptions) => {
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const outer = createAssistantMessageEventStream();
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const step = pendingResponses.shift();
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state.callCount++;
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queueMicrotask(async () => {
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try {
|
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if (!step) {
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let message = createErrorMessage(
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new Error("No more faux responses queued"),
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api,
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provider,
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requestModel.id,
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||||
);
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message = withUsageEstimate(message, context, streamOptions, promptCache);
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outer.push({ type: "error", reason: "error", error: message });
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outer.end(message);
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return;
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}
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const resolved =
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typeof step === "function" ? await step(context, streamOptions, state, requestModel) : step;
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let message = cloneMessage(resolved, api, provider, requestModel.id);
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||||
message = withUsageEstimate(message, context, streamOptions, promptCache);
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||||
await streamWithDeltas(outer, message, minTokenSize, maxTokenSize, tokensPerSecond, streamOptions?.signal);
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||||
} catch (error) {
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||||
const message = createErrorMessage(error, api, provider, requestModel.id);
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||||
outer.push({ type: "error", reason: "error", error: message });
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||||
outer.end(message);
|
||||
}
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||||
});
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||||
|
||||
return outer;
|
||||
};
|
||||
|
||||
const streamSimple: StreamFunction<string, SimpleStreamOptions> = (streamModel, context, streamOptions) =>
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||||
stream(streamModel, context, streamOptions);
|
||||
|
||||
registerApiProvider({ api, stream, streamSimple }, sourceId);
|
||||
|
||||
function getModel(): Model<string>;
|
||||
function getModel(requestedModelId: string): Model<string> | undefined;
|
||||
function getModel(requestedModelId?: string): Model<string> | undefined {
|
||||
if (!requestedModelId) {
|
||||
return models[0];
|
||||
}
|
||||
return models.find((candidate) => candidate.id === requestedModelId);
|
||||
}
|
||||
|
||||
return {
|
||||
api,
|
||||
models,
|
||||
getModel,
|
||||
state,
|
||||
setResponses(responses) {
|
||||
pendingResponses = [...responses];
|
||||
},
|
||||
appendResponses(responses) {
|
||||
pendingResponses.push(...responses);
|
||||
},
|
||||
getPendingResponseCount() {
|
||||
return pendingResponses.length;
|
||||
},
|
||||
unregister() {
|
||||
unregisterApiProviders(sourceId);
|
||||
},
|
||||
};
|
||||
}
|
||||
Reference in New Issue
Block a user