From edf90ced47688582613656b4e434fc164f2065ad Mon Sep 17 00:00:00 2001 From: flakey5 <73616808+flakey5@users.noreply.github.com> Date: Wed, 17 Apr 2024 23:53:16 -0700 Subject: [PATCH] Add Llama2 provider Closes #20 --- ai-providers/llama2.ts | 173 ++++ config.d.ts | 5 + lib/generator.ts | 12 + lib/schema.ts | 14 + package-lock.json | 1398 +++++++++++++++++++++++++++++++ package.json | 2 + plugins/warp.ts | 3 + tests/types/schema.test-d.ts | 8 + tests/unit/ai-providers.test.ts | 6 +- tests/utils/mocks/llama2.ts | 47 ++ 10 files changed, 1667 insertions(+), 1 deletion(-) create mode 100644 ai-providers/llama2.ts create mode 100644 tests/utils/mocks/llama2.ts diff --git a/ai-providers/llama2.ts b/ai-providers/llama2.ts new file mode 100644 index 0000000..369cabd --- /dev/null +++ b/ai-providers/llama2.ts @@ -0,0 +1,173 @@ +import { ReadableByteStreamController, ReadableStream, UnderlyingByteSource } from 'stream/web' +import { + LLamaChatPromptOptions, + LlamaChatSession, + LlamaContext, + LlamaModel +} from 'node-llama-cpp' +import { AiProvider, StreamChunkCallback } from './provider.js' +import { AiStreamEvent, encodeEvent } from './event.js' + +interface ChunkQueueNode { + chunk: number[] + next?: ChunkQueueNode +} + +class ChunkQueue { + private size: number = 0 + private head?: ChunkQueueNode + private tail?: ChunkQueueNode + + getSize (): number { + return this.size + } + + push (chunk: number[]): void { + this.size++ + + const node: ChunkQueueNode = { chunk } + if (this.head === undefined || this.tail === undefined) { + this.head = node + this.tail = node + } else { + this.tail.next = node + this.tail = node + } + } + + pop (): number[] | undefined { + if (this.head === undefined) { + return undefined + } + + this.size-- + + const chunk = this.head.chunk + this.head = this.head.next + + if (this.size === 0) { + this.tail = undefined + } + + return chunk + } +} + +class Llama2ByteSource implements UnderlyingByteSource { + type: 'bytes' = 'bytes' + session: LlamaChatSession + chunkCallback?: StreamChunkCallback + backloggedChunks: ChunkQueue = new ChunkQueue() + finished: boolean = false + controller?: ReadableByteStreamController + + constructor (session: LlamaChatSession, prompt: string, chunkCallback?: StreamChunkCallback) { + this.session = session + this.chunkCallback = chunkCallback + + session.prompt(prompt, { + onToken: this.onToken + }).then(() => { + this.finished = true + // Don't close the stream if we still have chunks to send + if (this.backloggedChunks.getSize() === 0 && this.controller !== undefined) { + this.controller.close() + } + }).catch((err: any) => { + this.finished = true + if (this.controller !== undefined) { + this.controller.close() + } + throw err + }) + } + + onToken: LLamaChatPromptOptions['onToken'] = async (chunk) => { + if (this.controller === undefined) { + // Stream hasn't started yet, added it to the backlog queue + this.backloggedChunks.push(chunk) + return + } + + await this.clearBacklog() + await this.enqueueChunk(chunk) + } + + private async enqueueChunk (chunk: number[]): Promise { + if (this.controller === undefined) { + throw new Error('tried enqueueing chunk before stream started') + } + + let response = this.session.context.decode(chunk) + if (this.chunkCallback !== undefined) { + response = await this.chunkCallback(response) + } + + const eventData: AiStreamEvent = { + event: 'content', + data: { + response + } + } + this.controller.enqueue(encodeEvent(eventData)) + + if (this.backloggedChunks.getSize() === 0 && this.finished) { + this.controller.close() + } + } + + async clearBacklog (): Promise { + if (this.backloggedChunks.getSize() === 0) { + return + } + + let backloggedChunk = this.backloggedChunks.pop() + while (backloggedChunk !== undefined) { + // Each chunk needs to be sent in order, can't run all of these at once + await this.enqueueChunk(backloggedChunk) + backloggedChunk = this.backloggedChunks.pop() + } + } + + start (controller: ReadableByteStreamController): void { + this.controller = controller + this.clearBacklog().catch(err => { + throw err + }) + } +} + +interface Llama2ProviderCtorOptions { + modelPath: string +} + +export class Llama2Provider implements AiProvider { + modelPath: string + session?: LlamaChatSession + + constructor ({ modelPath }: Llama2ProviderCtorOptions) { + this.modelPath = modelPath + } + + async ask (prompt: string): Promise { + if (this.session === undefined) { + const model = new LlamaModel({ modelPath: this.modelPath }) + const context = new LlamaContext({ model }) + this.session = new LlamaChatSession({ context }) + } + + const response = await this.session.prompt(prompt) + + return response + } + + async askStream (prompt: string, chunkCallback?: StreamChunkCallback): Promise { + if (this.session === undefined) { + const model = new LlamaModel({ modelPath: this.modelPath }) + const context = new LlamaContext({ model }) + this.session = new LlamaChatSession({ context }) + } + + return new ReadableStream(new Llama2ByteSource(this.session, prompt, chunkCallback)) + } +} diff --git a/config.d.ts b/config.d.ts index af3aa18..4da50fb 100644 --- a/config.d.ts +++ b/config.d.ts @@ -270,6 +270,11 @@ export interface AiWarpConfig { deploymentName: string; allowInsecureConnections?: boolean; }; + } + | { + llama2: { + modelPath: string; + }; }; promptDecorators?: { prefix?: string; diff --git a/lib/generator.ts b/lib/generator.ts index bcf53aa..fdcd97c 100644 --- a/lib/generator.ts +++ b/lib/generator.ts @@ -9,6 +9,7 @@ import { generatePlugins } from '@platformatic/generators/lib/create-plugin.js' interface PackageJson { name: string version: string + devDependencies: Record } class AiWarpGenerator extends ServiceGenerator { @@ -95,6 +96,13 @@ class AiWarpGenerator extends ServiceGenerator { } } break + case 'llama2': + config.aiProvider = { + llama2: { + modelPath: '/path/to/model' + } + } + break default: config.aiProvider = { openai: { @@ -130,6 +138,10 @@ class AiWarpGenerator extends ServiceGenerator { this.config.dependencies = { [packageJson.name]: `^${packageJson.version}` } + + if (this.config.aiProvider === 'llama2') { + this.config.dependencies['node-llama-cpp'] = packageJson.devDependencies['node-llama-cpp'] + } } async _afterPrepare (): Promise { diff --git a/lib/schema.ts b/lib/schema.ts index fd4e373..5baa543 100644 --- a/lib/schema.ts +++ b/lib/schema.ts @@ -103,6 +103,20 @@ const aiWarpSchema = { }, required: ['azure'], additionalProperties: false + }, + { + properties: { + llama2: { + type: 'object', + properties: { + modelPath: { type: 'string' } + }, + required: ['modelPath'], + additionalProperties: false + } + }, + required: ['llama2'], + additionalProperties: false } ] }, diff --git a/package-lock.json b/package-lock.json index f241679..8e42471 100644 --- a/package-lock.json +++ b/package-lock.json @@ -16,6 +16,7 @@ "@platformatic/generators": "^1.24.0", "@platformatic/mistral-client": "^0.1.0", "@platformatic/service": 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true, + "engines": { + "node": ">=8" + } + }, "node_modules/tdigest": { "version": "0.1.2", "resolved": "https://registry.npmjs.org/tdigest/-/tdigest-0.1.2.tgz", @@ -8537,6 +9859,31 @@ "url": "https://github.com/sponsors/sindresorhus" } }, + "node_modules/universal-github-app-jwt": { + "version": "1.1.2", + "resolved": "https://registry.npmjs.org/universal-github-app-jwt/-/universal-github-app-jwt-1.1.2.tgz", + "integrity": "sha512-t1iB2FmLFE+yyJY9+3wMx0ejB+MQpEVkH0gQv7dR6FZyltyq+ZZO0uDpbopxhrZ3SLEO4dCEkIujOMldEQ2iOA==", + "dev": true, + "dependencies": { + "@types/jsonwebtoken": "^9.0.0", + "jsonwebtoken": "^9.0.2" + } + }, + "node_modules/universal-user-agent": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/universal-user-agent/-/universal-user-agent-6.0.1.tgz", + "integrity": "sha512-yCzhz6FN2wU1NiiQRogkTQszlQSlpWaw8SvVegAc+bDxbzHgh1vX8uIe8OYyMH6DwH+sdTJsgMl36+mSMdRJIQ==", + "dev": true + }, + "node_modules/universalify": { + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz", + "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==", + "dev": true, + "engines": { + "node": ">= 10.0.0" + } + }, "node_modules/uri-js": { "version": "4.4.1", "resolved": "https://registry.npmjs.org/uri-js/-/uri-js-4.4.1.tgz", @@ -8545,6 +9892,12 @@ "punycode": "^2.1.0" } }, + "node_modules/url-join": { + "version": "4.0.1", + "resolved": "https://registry.npmjs.org/url-join/-/url-join-4.0.1.tgz", + "integrity": "sha512-jk1+QP6ZJqyOiuEI9AEWQfju/nB2Pw466kbA0LEZljHwKeMgd9WrAEgEGxjPDD2+TNbbb37rTyhEfrCXfuKXnA==", + "dev": true + }, "node_modules/util-deprecate": { "version": "1.0.2", "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz", @@ -8697,6 +10050,15 @@ "url": "https://github.com/sponsors/ljharb" } }, + "node_modules/wide-align": { + "version": "1.1.5", + "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", + "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==", + "dev": true, + "dependencies": { + "string-width": "^1.0.2 || 2 || 3 || 4" + } + }, "node_modules/wrap-ansi": { "version": "8.1.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", @@ -8826,6 +10188,15 @@ "node": ">=0.4" } }, + "node_modules/y18n": { + "version": "5.0.8", + "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", + "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==", + "dev": true, + "engines": { + "node": ">=10" + } + }, "node_modules/yallist": { "version": "4.0.0", "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", @@ -8842,6 +10213,24 @@ "node": ">= 14" } }, + "node_modules/yargs": { + "version": "17.7.2", + "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz", + "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==", + "dev": true, + "dependencies": { + "cliui": "^8.0.1", + "escalade": "^3.1.1", + "get-caller-file": "^2.0.5", + "require-directory": "^2.1.1", + "string-width": "^4.2.3", + "y18n": "^5.0.5", + "yargs-parser": "^21.1.1" + }, + "engines": { + "node": ">=12" + } + }, "node_modules/yargs-parser": { "version": "20.2.9", "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz", @@ -8851,6 +10240,15 @@ "node": ">=10" } }, + "node_modules/yargs/node_modules/yargs-parser": { + "version": "21.1.1", + "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz", + "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==", + "dev": true, + "engines": { + "node": ">=12" + } + }, "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", diff --git a/package.json b/package.json index a19ef83..0c33a12 100644 --- a/package.json +++ b/package.json @@ -27,6 +27,7 @@ "@reporters/github": "^1.7.0", "fastify": "^4.26.0", "markdownlint-cli2": "^0.13.0", + "node-llama-cpp": "^2.8.9", "snazzy": "^9.0.0", "ts-standard": "^12.0.2", "tsd": "^0.31.0", @@ -42,6 +43,7 @@ "@platformatic/generators": "^1.24.0", "@platformatic/mistral-client": "^0.1.0", "@platformatic/service": "^1.24.0", + "esmock": "^2.6.5", "fast-json-stringify": "^5.13.0", "fastify-user": "^0.3.3", "json-schema-to-typescript": "^13.0.0", diff --git a/plugins/warp.ts b/plugins/warp.ts index 094cc85..6877e84 100644 --- a/plugins/warp.ts +++ b/plugins/warp.ts @@ -8,6 +8,7 @@ import { AiWarpConfig } from '../config.js' import createError from '@fastify/error' import { OllamaProvider } from '../ai-providers/ollama.js' import { AzureProvider } from '../ai-providers/azure.js' +import { Llama2Provider } from '../ai-providers/llama2.js' const UnknownAiProviderError = createError('UNKNOWN_AI_PROVIDER', 'Unknown AI Provider') @@ -20,6 +21,8 @@ function build (aiProvider: AiWarpConfig['aiProvider']): AiProvider { return new OllamaProvider(aiProvider.ollama) } else if ('azure' in aiProvider) { return new AzureProvider(aiProvider.azure) + } else if ('llama2' in aiProvider) { + return new Llama2Provider(aiProvider.llama2) } else { throw new UnknownAiProviderError() } diff --git a/tests/types/schema.test-d.ts b/tests/types/schema.test-d.ts index 164d52f..ee62273 100644 --- a/tests/types/schema.test-d.ts +++ b/tests/types/schema.test-d.ts @@ -49,6 +49,14 @@ expectAssignable({ } }) +expectAssignable({ + aiProvider: { + llama2: { + modelPath: '/some/model.bin' + } + } +}) + expectAssignable({ $schema: './stackable.schema.json', service: { diff --git a/tests/unit/ai-providers.test.ts b/tests/unit/ai-providers.test.ts index 85d750f..3f59c73 100644 --- a/tests/unit/ai-providers.test.ts +++ b/tests/unit/ai-providers.test.ts @@ -9,9 +9,12 @@ import { AzureProvider } from '../../ai-providers/azure.js' import { MOCK_CONTENT_RESPONSE, buildExpectedStreamBodyString } from '../utils/mocks/base.js' import { OLLAMA_MOCK_HOST } from '../utils/mocks/ollama.js' import { AZURE_DEPLOYMENT_NAME, AZURE_MOCK_HOST } from '../utils/mocks/azure.js' +import { mockLlama2 } from '../utils/mocks/llama2.js' const expectedStreamBody = buildExpectedStreamBodyString() +const { Llama2Provider: MockedLlamaProvider } = await mockLlama2() + const providers: AiProvider[] = [ new OpenAiProvider({ model: 'gpt-3.5-turbo', apiKey: '' }), new MistralProvider({ model: 'open-mistral-7b', apiKey: '' }), @@ -21,7 +24,8 @@ const providers: AiProvider[] = [ apiKey: 'abc', deploymentName: AZURE_DEPLOYMENT_NAME, allowInsecureConnections: true - }) + }), + new MockedLlamaProvider({ modelPath: '' }) ] for (const provider of providers) { diff --git a/tests/utils/mocks/llama2.ts b/tests/utils/mocks/llama2.ts new file mode 100644 index 0000000..d7a40b4 --- /dev/null +++ b/tests/utils/mocks/llama2.ts @@ -0,0 +1,47 @@ +import esmock from 'esmock' +import { MOCK_CONTENT_RESPONSE, MOCK_STREAMING_CONTENT_CHUNKS } from './base.js' + +// eslint-disable-next-line @typescript-eslint/no-extraneous-class +class LlamaModelMock {} + +class LlamaContextMock { + decode (token: number[]): string { + const chunkIndex = token[0] + return MOCK_STREAMING_CONTENT_CHUNKS[chunkIndex] + } +} + +interface PromptOptions { + onToken: (token: number[]) => void +} + +class LlamaChatSessionMock { + context: LlamaContextMock + + constructor ({ context }: { context: LlamaContextMock }) { + this.context = context + } + + async prompt (_: string, options?: PromptOptions): Promise { + if (options !== undefined) { + for (let i = 0; i < MOCK_STREAMING_CONTENT_CHUNKS.length; i++) { + // Send an array with just one element that's the chunk number + options.onToken([i]) + } + } + + return MOCK_CONTENT_RESPONSE + } +} + +export async function mockLlama2 (): Promise { + const llama2Provider = await esmock('../../../ai-providers/llama2.ts', { + 'node-llama-cpp': { + LlamaModel: LlamaModelMock, + LlamaContext: LlamaContextMock, + LlamaChatSession: LlamaChatSessionMock + } + }) + + return llama2Provider +}