From a153cc5b253e0dee78f63d147985bfbc55677db7 Mon Sep 17 00:00:00 2001 From: TareHimself <75279482+TareHimself@users.noreply.github.com> Date: Sat, 24 Feb 2024 17:50:14 -0500 Subject: [PATCH] typescript: async generator and token stream (#1897) Signed-off-by: Tare Ebelo <75279482+TareHimself@users.noreply.github.com> Signed-off-by: jacob Signed-off-by: Jared Van Bortel Co-authored-by: jacob Co-authored-by: Jared Van Bortel --- .circleci/continue_config.yml | 18 +- .../python/docs/gpt4all_nodejs.md | 43 +- gpt4all-bindings/typescript/README.md | 12 +- gpt4all-bindings/typescript/index.cc | 75 +- gpt4all-bindings/typescript/index.h | 11 +- gpt4all-bindings/typescript/package.json | 2 +- gpt4all-bindings/typescript/prompt.cc | 192 +- gpt4all-bindings/typescript/prompt.h | 73 +- .../typescript/spec/generator.mjs | 41 + gpt4all-bindings/typescript/src/gpt4all.d.ts | 46 +- gpt4all-bindings/typescript/src/gpt4all.js | 111 +- gpt4all-bindings/typescript/src/models.js | 4 +- gpt4all-bindings/typescript/src/util.js | 2 - gpt4all-bindings/typescript/yarn.lock | 1842 ++++++++++------- 14 files changed, 1517 insertions(+), 955 deletions(-) create mode 100644 gpt4all-bindings/typescript/spec/generator.mjs diff --git a/.circleci/continue_config.yml b/.circleci/continue_config.yml index d9be352a..6698af6a 100644 --- a/.circleci/continue_config.yml +++ b/.circleci/continue_config.yml @@ -611,6 +611,7 @@ jobs: $Env:Path += ";$MinGwBin" $Env:Path += ";C:\Program Files\CMake\bin" $Env:Path += ";C:\VulkanSDK\1.3.261.1\bin" + $Env:VULKAN_SDK = "C:\VulkanSDK\1.3.261.1" cd gpt4all-backend mkdir runtimes/win-x64 cd runtimes/win-x64 @@ -651,6 +652,7 @@ jobs: command: | $Env:Path += ";C:\Program Files\CMake\bin" $Env:Path += ";C:\VulkanSDK\1.3.261.1\bin" + $Env:VULKAN_SDK = "C:\VulkanSDK\1.3.261.1" cd gpt4all-backend mkdir runtimes/win-x64_msvc cd runtimes/win-x64_msvc @@ -1107,8 +1109,12 @@ workflows: jobs: - hold: type: approval + - csharp-hold: + type: approval - nuget-hold: type: approval + - nodejs-hold: + type: approval - npm-hold: type: approval - build-bindings-backend-linux: @@ -1151,21 +1157,21 @@ workflows: branches: only: requires: - - npm-hold + - nodejs-hold - build-bindings-backend-linux - build-nodejs-windows: filters: branches: only: requires: - - npm-hold + - nodejs-hold - build-bindings-backend-windows-msvc - build-nodejs-macos: filters: branches: only: requires: - - npm-hold + - nodejs-hold - build-bindings-backend-macos @@ -1175,21 +1181,21 @@ workflows: branches: only: requires: - - nuget-hold + - csharp-hold - build-bindings-backend-linux - build-csharp-windows: filters: branches: only: requires: - - nuget-hold + - csharp-hold - build-bindings-backend-windows - build-csharp-macos: filters: branches: only: requires: - - nuget-hold + - csharp-hold - build-bindings-backend-macos - store-and-upload-nupkgs: filters: diff --git a/gpt4all-bindings/python/docs/gpt4all_nodejs.md b/gpt4all-bindings/python/docs/gpt4all_nodejs.md index 798a3bd8..7e3a6b93 100644 --- a/gpt4all-bindings/python/docs/gpt4all_nodejs.md +++ b/gpt4all-bindings/python/docs/gpt4all_nodejs.md @@ -159,6 +159,7 @@ This package is in active development, and breaking changes may happen until the * [mpt](#mpt) * [replit](#replit) * [type](#type) +* [TokenCallback](#tokencallback) * [InferenceModel](#inferencemodel) * [dispose](#dispose) * [EmbeddingModel](#embeddingmodel) @@ -184,16 +185,17 @@ This package is in active development, and breaking changes may happen until the * [Parameters](#parameters-5) * [hasGpuDevice](#hasgpudevice) * [listGpu](#listgpu) + * [Parameters](#parameters-6) * [dispose](#dispose-2) * [GpuDevice](#gpudevice) * [type](#type-2) * [LoadModelOptions](#loadmodeloptions) * [loadModel](#loadmodel) - * [Parameters](#parameters-6) -* [createCompletion](#createcompletion) * [Parameters](#parameters-7) -* [createEmbedding](#createembedding) +* [createCompletion](#createcompletion) * [Parameters](#parameters-8) +* [createEmbedding](#createembedding) + * [Parameters](#parameters-9) * [CompletionOptions](#completionoptions) * [verbose](#verbose) * [systemPromptTemplate](#systemprompttemplate) @@ -225,15 +227,15 @@ This package is in active development, and breaking changes may happen until the * [repeatPenalty](#repeatpenalty) * [repeatLastN](#repeatlastn) * [contextErase](#contexterase) -* [createTokenStream](#createtokenstream) - * [Parameters](#parameters-9) +* [generateTokens](#generatetokens) + * [Parameters](#parameters-10) * [DEFAULT\_DIRECTORY](#default_directory) * [DEFAULT\_LIBRARIES\_DIRECTORY](#default_libraries_directory) * [DEFAULT\_MODEL\_CONFIG](#default_model_config) * [DEFAULT\_PROMPT\_CONTEXT](#default_prompt_context) * [DEFAULT\_MODEL\_LIST\_URL](#default_model_list_url) * [downloadModel](#downloadmodel) - * [Parameters](#parameters-10) + * [Parameters](#parameters-11) * [Examples](#examples) * [DownloadModelOptions](#downloadmodeloptions) * [modelPath](#modelpath) @@ -279,6 +281,12 @@ Model architecture. This argument currently does not have any functionality and Type: ModelType +#### TokenCallback + +Callback for controlling token generation + +Type: function (tokenId: [number](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number), token: [string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String), total: [string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)): [boolean](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean) + #### InferenceModel InferenceModel represents an LLM which can make chat predictions, similar to GPT transformers. @@ -362,9 +370,9 @@ Use the prompt function exported for a value * `q` **[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)** The prompt input. * `params` **Partial<[LLModelPromptContext](#llmodelpromptcontext)>** Optional parameters for the prompt context. -* `callback` **function (res: [string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)): void** +* `callback` **[TokenCallback](#tokencallback)?** optional callback to control token generation. -Returns **void** The result of the model prompt. +Returns **[Promise](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Promise)<[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)>** The result of the model prompt. ##### embed @@ -424,6 +432,12 @@ Returns **[boolean](https://developer.mozilla.org/docs/Web/JavaScript/Reference/ GPUs that are usable for this LLModel +###### Parameters + +* `nCtx` **[number](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number)** Maximum size of context window + + + * Throws **any** if hasGpuDevice returns false (i think) Returns **[Array](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)<[GpuDevice](#gpudevice)>** @@ -690,17 +704,18 @@ The percentage of context to erase if the context window is exceeded. Type: [number](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number) -#### createTokenStream +#### generateTokens -TODO: Help wanted to implement this +Creates an async generator of tokens ##### Parameters -* `llmodel` **[LLModel](#llmodel)** -* `messages` **[Array](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)<[PromptMessage](#promptmessage)>** -* `options` **[CompletionOptions](#completionoptions)** +* `llmodel` **[InferenceModel](#inferencemodel)** The language model object. +* `messages` **[Array](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array)<[PromptMessage](#promptmessage)>** The array of messages for the conversation. +* `options` **[CompletionOptions](#completionoptions)** The options for creating the completion. +* `callback` **[TokenCallback](#tokencallback)** optional callback to control token generation. -Returns **function (ll: [LLModel](#llmodel)): AsyncGenerator<[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)>** +Returns **AsyncGenerator<[string](https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String)>** The stream of generated tokens #### DEFAULT\_DIRECTORY diff --git a/gpt4all-bindings/typescript/README.md b/gpt4all-bindings/typescript/README.md index 7e20fd4e..5eba3f41 100644 --- a/gpt4all-bindings/typescript/README.md +++ b/gpt4all-bindings/typescript/README.md @@ -136,14 +136,18 @@ yarn test This package is in active development, and breaking changes may happen until the api stabilizes. Here's what's the todo list: +* \[ ] Purely offline. Per the gui, which can be run completely offline, the bindings should be as well. +* \[ ] NPM bundle size reduction via optionalDependencies strategy (need help) + * Should include prebuilds to avoid painful node-gyp errors +* \[ ] createChatSession ( the python equivalent to create\_chat\_session ) +* \[x] generateTokens, the new name for createTokenStream. As of 3.2.0, this is released but not 100% tested. Check spec/generator.mjs! +* \[x] ~~createTokenStream, an async iterator that streams each token emitted from the model. Planning on following this [example](https://github.com/nodejs/node-addon-examples/tree/main/threadsafe-async-iterator)~~ May not implement unless someone else can complete * \[x] prompt models via a threadsafe function in order to have proper non blocking behavior in nodejs -* \[ ] ~~createTokenStream, an async iterator that streams each token emitted from the model. Planning on following this [example](https://github.com/nodejs/node-addon-examples/tree/main/threadsafe-async-iterator)~~ May not implement unless someone else can complete +* \[x] generateTokens is the new name for this^ * \[x] proper unit testing (integrate with circle ci) * \[x] publish to npm under alpha tag `gpt4all@alpha` * \[x] have more people test on other platforms (mac tester needed) * \[x] switch to new pluggable backend -* \[ ] NPM bundle size reduction via optionalDependencies strategy (need help) - * Should include prebuilds to avoid painful node-gyp errors -* \[ ] createChatSession ( the python equivalent to create\_chat\_session ) + ### API Reference diff --git a/gpt4all-bindings/typescript/index.cc b/gpt4all-bindings/typescript/index.cc index 31a3e3c4..d957b453 100644 --- a/gpt4all-bindings/typescript/index.cc +++ b/gpt4all-bindings/typescript/index.cc @@ -3,9 +3,9 @@ Napi::Function NodeModelWrapper::GetClass(Napi::Env env) { Napi::Function self = DefineClass(env, "LLModel", { - InstanceMethod("type", &NodeModelWrapper::getType), + InstanceMethod("type", &NodeModelWrapper::GetType), InstanceMethod("isModelLoaded", &NodeModelWrapper::IsModelLoaded), - InstanceMethod("name", &NodeModelWrapper::getName), + InstanceMethod("name", &NodeModelWrapper::GetName), InstanceMethod("stateSize", &NodeModelWrapper::StateSize), InstanceMethod("raw_prompt", &NodeModelWrapper::Prompt), InstanceMethod("setThreadCount", &NodeModelWrapper::SetThreadCount), @@ -28,14 +28,14 @@ Napi::Function NodeModelWrapper::GetClass(Napi::Env env) { Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) { auto env = info.Env(); - return Napi::Number::New(env, static_cast( llmodel_required_mem(GetInference(), full_model_path.c_str(), 2048, 100) )); + return Napi::Number::New(env, static_cast(llmodel_required_mem(GetInference(), full_model_path.c_str(), nCtx, nGpuLayers) )); } Napi::Value NodeModelWrapper::GetGpuDevices(const Napi::CallbackInfo& info) { auto env = info.Env(); int num_devices = 0; - auto mem_size = llmodel_required_mem(GetInference(), full_model_path.c_str()); + auto mem_size = llmodel_required_mem(GetInference(), full_model_path.c_str(), nCtx, nGpuLayers); llmodel_gpu_device* all_devices = llmodel_available_gpu_devices(GetInference(), mem_size, &num_devices); if(all_devices == nullptr) { Napi::Error::New( @@ -70,7 +70,7 @@ Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) return js_array; } - Napi::Value NodeModelWrapper::getType(const Napi::CallbackInfo& info) + Napi::Value NodeModelWrapper::GetType(const Napi::CallbackInfo& info) { if(type.empty()) { return info.Env().Undefined(); @@ -132,6 +132,9 @@ Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) library_path = "."; } device = config_object.Get("device").As(); + + nCtx = config_object.Get("nCtx").As().Int32Value(); + nGpuLayers = config_object.Get("ngl").As().Int32Value(); } llmodel_set_implementation_search_path(library_path.c_str()); const char* e; @@ -148,20 +151,17 @@ Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) return; } if(device != "cpu") { - size_t mem = llmodel_required_mem(GetInference(), full_weight_path.c_str()); - std::cout << "Initiating GPU\n"; + size_t mem = llmodel_required_mem(GetInference(), full_weight_path.c_str(),nCtx, nGpuLayers); auto success = llmodel_gpu_init_gpu_device_by_string(GetInference(), mem, device.c_str()); - if(success) { - std::cout << "GPU init successfully\n"; - } else { + if(!success) { //https://github.com/nomic-ai/gpt4all/blob/3acbef14b7c2436fe033cae9036e695d77461a16/gpt4all-bindings/python/gpt4all/pyllmodel.py#L215 //Haven't implemented this but it is still open to contribution std::cout << "WARNING: Failed to init GPU\n"; } } - auto success = llmodel_loadModel(GetInference(), full_weight_path.c_str(), 2048, 100); + auto success = llmodel_loadModel(GetInference(), full_weight_path.c_str(), nCtx, nGpuLayers); if(!success) { Napi::Error::New(env, "Failed to load model at given path").ThrowAsJavaScriptException(); return; @@ -254,6 +254,9 @@ Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) .repeat_last_n = 10, .context_erase = 0.5 }; + + PromptWorkerConfig promptWorkerConfig; + if(info[1].IsObject()) { auto inputObject = info[1].As(); @@ -285,29 +288,33 @@ Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) if(inputObject.Has("context_erase")) promptContext.context_erase = inputObject.Get("context_erase").As().FloatValue(); } - //copy to protect llmodel resources when splitting to new thread - llmodel_prompt_context copiedPrompt = promptContext; + else + { + Napi::Error::New(info.Env(), "Missing Prompt Options").ThrowAsJavaScriptException(); + return info.Env().Undefined(); + } - std::string copiedQuestion = question; - PromptWorkContext pc = { - copiedQuestion, - inference_, - copiedPrompt, - "" - }; - auto threadSafeContext = new TsfnContext(env, pc); - threadSafeContext->tsfn = Napi::ThreadSafeFunction::New( - env, // Environment - info[2].As(), // JS function from caller - "PromptCallback", // Resource name - 0, // Max queue size (0 = unlimited). - 1, // Initial thread count - threadSafeContext, // Context, - FinalizerCallback, // Finalizer - (void*)nullptr // Finalizer data - ); - threadSafeContext->nativeThread = std::thread(threadEntry, threadSafeContext); - return threadSafeContext->deferred_.Promise(); + if(info.Length() >= 3 && info[2].IsFunction()){ + promptWorkerConfig.bHasTokenCallback = true; + promptWorkerConfig.tokenCallback = info[2].As(); + } + + + + //copy to protect llmodel resources when splitting to new thread + // llmodel_prompt_context copiedPrompt = promptContext; + promptWorkerConfig.context = promptContext; + promptWorkerConfig.model = GetInference(); + promptWorkerConfig.mutex = &inference_mutex; + promptWorkerConfig.prompt = question; + promptWorkerConfig.result = ""; + + + auto worker = new PromptWorker(env, promptWorkerConfig); + + worker->Queue(); + + return worker->GetPromise(); } void NodeModelWrapper::Dispose(const Napi::CallbackInfo& info) { llmodel_model_destroy(inference_); @@ -321,7 +328,7 @@ Napi::Value NodeModelWrapper::GetRequiredMemory(const Napi::CallbackInfo& info) } } - Napi::Value NodeModelWrapper::getName(const Napi::CallbackInfo& info) { + Napi::Value NodeModelWrapper::GetName(const Napi::CallbackInfo& info) { return Napi::String::New(info.Env(), name); } Napi::Value NodeModelWrapper::ThreadCount(const Napi::CallbackInfo& info) { diff --git a/gpt4all-bindings/typescript/index.h b/gpt4all-bindings/typescript/index.h index 0f116a0e..6afdf217 100644 --- a/gpt4all-bindings/typescript/index.h +++ b/gpt4all-bindings/typescript/index.h @@ -7,14 +7,17 @@ #include #include #include +#include + namespace fs = std::filesystem; class NodeModelWrapper: public Napi::ObjectWrap { + public: NodeModelWrapper(const Napi::CallbackInfo &); //virtual ~NodeModelWrapper(); - Napi::Value getType(const Napi::CallbackInfo& info); + Napi::Value GetType(const Napi::CallbackInfo& info); Napi::Value IsModelLoaded(const Napi::CallbackInfo& info); Napi::Value StateSize(const Napi::CallbackInfo& info); //void Finalize(Napi::Env env) override; @@ -25,7 +28,7 @@ public: Napi::Value Prompt(const Napi::CallbackInfo& info); void SetThreadCount(const Napi::CallbackInfo& info); void Dispose(const Napi::CallbackInfo& info); - Napi::Value getName(const Napi::CallbackInfo& info); + Napi::Value GetName(const Napi::CallbackInfo& info); Napi::Value ThreadCount(const Napi::CallbackInfo& info); Napi::Value GenerateEmbedding(const Napi::CallbackInfo& info); Napi::Value HasGpuDevice(const Napi::CallbackInfo& info); @@ -48,8 +51,12 @@ private: */ llmodel_model inference_; + std::mutex inference_mutex; + std::string type; // corresponds to LLModel::name() in typescript std::string name; + int nCtx{}; + int nGpuLayers{}; std::string full_model_path; }; diff --git a/gpt4all-bindings/typescript/package.json b/gpt4all-bindings/typescript/package.json index bc91cdfe..dca1d6ca 100644 --- a/gpt4all-bindings/typescript/package.json +++ b/gpt4all-bindings/typescript/package.json @@ -1,6 +1,6 @@ { "name": "gpt4all", - "version": "3.1.0", + "version": "3.2.0", "packageManager": "yarn@3.6.1", "main": "src/gpt4all.js", "repository": "nomic-ai/gpt4all", diff --git a/gpt4all-bindings/typescript/prompt.cc b/gpt4all-bindings/typescript/prompt.cc index 9aaa2114..bc9b21c4 100644 --- a/gpt4all-bindings/typescript/prompt.cc +++ b/gpt4all-bindings/typescript/prompt.cc @@ -1,60 +1,146 @@ #include "prompt.h" +#include +PromptWorker::PromptWorker(Napi::Env env, PromptWorkerConfig config) + : promise(Napi::Promise::Deferred::New(env)), _config(config), AsyncWorker(env) { + if(_config.bHasTokenCallback){ + _tsfn = Napi::ThreadSafeFunction::New(config.tokenCallback.Env(),config.tokenCallback,"PromptWorker",0,1,this); + } + } -TsfnContext::TsfnContext(Napi::Env env, const PromptWorkContext& pc) - : deferred_(Napi::Promise::Deferred::New(env)), pc(pc) { -} -namespace { - static std::string *res; -} + PromptWorker::~PromptWorker() + { + if(_config.bHasTokenCallback){ + _tsfn.Release(); + } + } -bool response_callback(int32_t token_id, const char *response) { - *res += response; - return token_id != -1; -} -bool recalculate_callback (bool isrecalculating) { - return isrecalculating; -}; -bool prompt_callback (int32_t tid) { - return true; -}; + void PromptWorker::Execute() + { + _config.mutex->lock(); -// The thread entry point. This takes as its arguments the specific -// threadsafe-function context created inside the main thread. -void threadEntry(TsfnContext* context) { - static std::mutex mtx; - std::lock_guard lock(mtx); - res = &context->pc.res; - // Perform a call into JavaScript. - napi_status status = - context->tsfn.BlockingCall(&context->pc, - [](Napi::Env env, Napi::Function jsCallback, PromptWorkContext* pc) { - llmodel_prompt( - pc->inference_, - pc->question.c_str(), - &prompt_callback, - &response_callback, - &recalculate_callback, - &pc->prompt_params - ); - }); + LLModelWrapper *wrapper = reinterpret_cast(_config.model); - if (status != napi_ok) { - Napi::Error::Fatal( - "ThreadEntry", - "Napi::ThreadSafeNapi::Function.NonBlockingCall() failed"); - } - // Release the thread-safe function. This decrements the internal thread - // count, and will perform finalization since the count will reach 0. - context->tsfn.Release(); -} + auto ctx = &_config.context; -void FinalizerCallback(Napi::Env env, - void* finalizeData, - TsfnContext* context) { - // Resolve the Promise previously returned to JS - context->deferred_.Resolve(Napi::String::New(env, context->pc.res)); - // Wait for the thread to finish executing before proceeding. - context->nativeThread.join(); - delete context; -} + if (size_t(ctx->n_past) < wrapper->promptContext.tokens.size()) + wrapper->promptContext.tokens.resize(ctx->n_past); + + // Copy the C prompt context + wrapper->promptContext.n_past = ctx->n_past; + wrapper->promptContext.n_ctx = ctx->n_ctx; + wrapper->promptContext.n_predict = ctx->n_predict; + wrapper->promptContext.top_k = ctx->top_k; + wrapper->promptContext.top_p = ctx->top_p; + wrapper->promptContext.temp = ctx->temp; + wrapper->promptContext.n_batch = ctx->n_batch; + wrapper->promptContext.repeat_penalty = ctx->repeat_penalty; + wrapper->promptContext.repeat_last_n = ctx->repeat_last_n; + wrapper->promptContext.contextErase = ctx->context_erase; + + // Napi::Error::Fatal( + // "SUPRA", + // "About to prompt"); + // Call the C++ prompt method + wrapper->llModel->prompt( + _config.prompt, + [](int32_t tid) { return true; }, + [this](int32_t token_id, const std::string tok) + { + return ResponseCallback(token_id, tok); + }, + [](bool isRecalculating) + { + return isRecalculating; + }, + wrapper->promptContext); + + // Update the C context by giving access to the wrappers raw pointers to std::vector data + // which involves no copies + ctx->logits = wrapper->promptContext.logits.data(); + ctx->logits_size = wrapper->promptContext.logits.size(); + ctx->tokens = wrapper->promptContext.tokens.data(); + ctx->tokens_size = wrapper->promptContext.tokens.size(); + + // Update the rest of the C prompt context + ctx->n_past = wrapper->promptContext.n_past; + ctx->n_ctx = wrapper->promptContext.n_ctx; + ctx->n_predict = wrapper->promptContext.n_predict; + ctx->top_k = wrapper->promptContext.top_k; + ctx->top_p = wrapper->promptContext.top_p; + ctx->temp = wrapper->promptContext.temp; + ctx->n_batch = wrapper->promptContext.n_batch; + ctx->repeat_penalty = wrapper->promptContext.repeat_penalty; + ctx->repeat_last_n = wrapper->promptContext.repeat_last_n; + ctx->context_erase = wrapper->promptContext.contextErase; + + _config.mutex->unlock(); + } + + void PromptWorker::OnOK() + { + promise.Resolve(Napi::String::New(Env(), result)); + } + + void PromptWorker::OnError(const Napi::Error &e) + { + promise.Reject(e.Value()); + } + + Napi::Promise PromptWorker::GetPromise() + { + return promise.Promise(); + } + + bool PromptWorker::ResponseCallback(int32_t token_id, const std::string token) + { + if (token_id == -1) + { + return false; + } + + if(!_config.bHasTokenCallback){ + return true; + } + + result += token; + + std::promise promise; + + auto info = new TokenCallbackInfo(); + info->tokenId = token_id; + info->token = token; + info->total = result; + + auto future = promise.get_future(); + + auto status = _tsfn.BlockingCall(info, [&promise](Napi::Env env, Napi::Function jsCallback, TokenCallbackInfo *value) + { + // Transform native data into JS data, passing it to the provided + // `jsCallback` -- the TSFN's JavaScript function. + auto token_id = Napi::Number::New(env, value->tokenId); + auto token = Napi::String::New(env, value->token); + auto total = Napi::String::New(env,value->total); + auto jsResult = jsCallback.Call({ token_id, token, total}).ToBoolean(); + promise.set_value(jsResult); + // We're finished with the data. + delete value; + }); + if (status != napi_ok) { + Napi::Error::Fatal( + "PromptWorkerResponseCallback", + "Napi::ThreadSafeNapi::Function.NonBlockingCall() failed"); + } + + return future.get(); + } + + bool PromptWorker::RecalculateCallback(bool isRecalculating) + { + return isRecalculating; + } + + bool PromptWorker::PromptCallback(int32_t tid) + { + return true; + } diff --git a/gpt4all-bindings/typescript/prompt.h b/gpt4all-bindings/typescript/prompt.h index 5c166167..4f8cd531 100644 --- a/gpt4all-bindings/typescript/prompt.h +++ b/gpt4all-bindings/typescript/prompt.h @@ -1,44 +1,59 @@ -#ifndef TSFN_CONTEXT_H -#define TSFN_CONTEXT_H +#ifndef PREDICT_WORKER_H +#define PREDICT_WORKER_H #include "napi.h" #include "llmodel_c.h" +#include "llmodel.h" #include #include #include #include #include -struct PromptWorkContext { - std::string question; - llmodel_model inference_; - llmodel_prompt_context prompt_params; - std::string res; -}; +struct TokenCallbackInfo + { + int32_t tokenId; + std::string total; + std::string token; + }; -struct TsfnContext { -public: - TsfnContext(Napi::Env env, const PromptWorkContext &pc); - std::thread nativeThread; - Napi::Promise::Deferred deferred_; - PromptWorkContext pc; - Napi::ThreadSafeFunction tsfn; + struct LLModelWrapper + { + LLModel *llModel = nullptr; + LLModel::PromptContext promptContext; + ~LLModelWrapper() { delete llModel; } + }; - // Some data to pass around - // int ints[ARRAY_LENGTH]; + struct PromptWorkerConfig + { + Napi::Function tokenCallback; + bool bHasTokenCallback = false; + llmodel_model model; + std::mutex * mutex; + std::string prompt; + llmodel_prompt_context context; + std::string result; + }; -}; + class PromptWorker : public Napi::AsyncWorker + { + public: + PromptWorker(Napi::Env env, PromptWorkerConfig config); + ~PromptWorker(); + void Execute() override; + void OnOK() override; + void OnError(const Napi::Error &e) override; + Napi::Promise GetPromise(); -// The thread entry point. This takes as its arguments the specific -// threadsafe-function context created inside the main thread. -void threadEntry(TsfnContext*); + bool ResponseCallback(int32_t token_id, const std::string token); + bool RecalculateCallback(bool isrecalculating); + bool PromptCallback(int32_t tid); -// The thread-safe function finalizer callback. This callback executes -// at destruction of thread-safe function, taking as arguments the finalizer -// data and threadsafe-function context. -void FinalizerCallback(Napi::Env, void* finalizeData, TsfnContext*); + private: + Napi::Promise::Deferred promise; + std::string result; + PromptWorkerConfig _config; + Napi::ThreadSafeFunction _tsfn; + }; -bool response_callback(int32_t token_id, const char *response); -bool recalculate_callback (bool isrecalculating); -bool prompt_callback (int32_t tid); -#endif // TSFN_CONTEXT_H +#endif // PREDICT_WORKER_H diff --git a/gpt4all-bindings/typescript/spec/generator.mjs b/gpt4all-bindings/typescript/spec/generator.mjs new file mode 100644 index 00000000..963bdc28 --- /dev/null +++ b/gpt4all-bindings/typescript/spec/generator.mjs @@ -0,0 +1,41 @@ +import gpt from '../src/gpt4all.js' + +const model = await gpt.loadModel("mistral-7b-openorca.Q4_0.gguf", { device: 'gpu' }) + +process.stdout.write('Response: ') + + +const tokens = gpt.generateTokens(model, [{ + role: 'user', + content: "How are you ?" +}], { nPredict: 2048 }) +for await (const token of tokens){ + process.stdout.write(token); +} + + +const result = await gpt.createCompletion(model, [{ + role: 'user', + content: "You sure?" +}]) + +console.log(result) + +const result2 = await gpt.createCompletion(model, [{ + role: 'user', + content: "You sure you sure?" +}]) + +console.log(result2) + + +const tokens2 = gpt.generateTokens(model, [{ + role: 'user', + content: "If 3 + 3 is 5, what is 2 + 2?" +}], { nPredict: 2048 }) +for await (const token of tokens2){ + process.stdout.write(token); +} +console.log("done") +model.dispose(); + diff --git a/gpt4all-bindings/typescript/src/gpt4all.d.ts b/gpt4all-bindings/typescript/src/gpt4all.d.ts index f3e557a9..18f1eb95 100644 --- a/gpt4all-bindings/typescript/src/gpt4all.d.ts +++ b/gpt4all-bindings/typescript/src/gpt4all.d.ts @@ -49,6 +49,12 @@ interface ModelConfig { path: string; url?: string; } + +/** + * Callback for controlling token generation + */ +type TokenCallback = (tokenId: number, token: string, total: string) => boolean + /** * * InferenceModel represents an LLM which can make chat predictions, similar to GPT transformers. @@ -61,7 +67,8 @@ declare class InferenceModel { generate( prompt: string, - options?: Partial + options?: Partial, + callback?: TokenCallback ): Promise; /** @@ -132,13 +139,14 @@ declare class LLModel { * Use the prompt function exported for a value * @param q The prompt input. * @param params Optional parameters for the prompt context. + * @param callback - optional callback to control token generation. * @returns The result of the model prompt. */ raw_prompt( q: string, params: Partial, - callback: (res: string) => void - ): void; // TODO work on return type + callback?: TokenCallback + ): Promise /** * Embed text with the model. Keep in mind that @@ -176,10 +184,11 @@ declare class LLModel { hasGpuDevice(): boolean /** * GPUs that are usable for this LLModel + * @param nCtx Maximum size of context window * @throws if hasGpuDevice returns false (i think) * @returns */ - listGpu() : GpuDevice[] + listGpu(nCtx: number) : GpuDevice[] /** * delete and cleanup the native model @@ -224,6 +233,16 @@ interface LoadModelOptions { model. */ device?: string; + /* + * The Maximum window size of this model + * Default of 2048 + */ + nCtx?: number; + /* + * Number of gpu layers needed + * Default of 100 + */ + ngl?: number; } interface InferenceModelOptions extends LoadModelOptions { @@ -442,14 +461,21 @@ interface LLModelPromptContext { contextErase: number; } + /** - * TODO: Help wanted to implement this + * Creates an async generator of tokens + * @param {InferenceModel} llmodel - The language model object. + * @param {PromptMessage[]} messages - The array of messages for the conversation. + * @param {CompletionOptions} options - The options for creating the completion. + * @param {TokenCallback} callback - optional callback to control token generation. + * @returns {AsyncGenerator} The stream of generated tokens */ -declare function createTokenStream( - llmodel: LLModel, +declare function generateTokens( + llmodel: InferenceModel, messages: PromptMessage[], - options: CompletionOptions -): (ll: LLModel) => AsyncGenerator; + options: CompletionOptions, + callback?: TokenCallback +): AsyncGenerator; /** * From python api: * models will be stored in (homedir)/.cache/gpt4all/` @@ -568,7 +594,7 @@ export { loadModel, createCompletion, createEmbedding, - createTokenStream, + generateTokens, DEFAULT_DIRECTORY, DEFAULT_LIBRARIES_DIRECTORY, DEFAULT_MODEL_CONFIG, diff --git a/gpt4all-bindings/typescript/src/gpt4all.js b/gpt4all-bindings/typescript/src/gpt4all.js index e854463f..af19dfa2 100644 --- a/gpt4all-bindings/typescript/src/gpt4all.js +++ b/gpt4all-bindings/typescript/src/gpt4all.js @@ -18,6 +18,7 @@ const { DEFAULT_MODEL_LIST_URL, } = require("./config.js"); const { InferenceModel, EmbeddingModel } = require("./models.js"); +const Stream = require('stream') const assert = require("assert"); /** @@ -36,6 +37,8 @@ async function loadModel(modelName, options = {}) { allowDownload: true, verbose: true, device: 'cpu', + nCtx: 2048, + ngl : 100, ...options, }; @@ -58,11 +61,14 @@ async function loadModel(modelName, options = {}) { model_path: loadOptions.modelPath, library_path: existingPaths, device: loadOptions.device, + nCtx: loadOptions.nCtx, + ngl: loadOptions.ngl }; if (loadOptions.verbose) { console.debug("Creating LLModel with options:", llmOptions); } + console.log(modelConfig) const llmodel = new LLModel(llmOptions); if (loadOptions.type === "embedding") { return new EmbeddingModel(llmodel, modelConfig); @@ -149,11 +155,7 @@ const defaultCompletionOptions = { ...DEFAULT_PROMPT_CONTEXT, }; -async function createCompletion( - model, - messages, - options = defaultCompletionOptions -) { +function preparePromptAndContext(model,messages,options){ if (options.hasDefaultHeader !== undefined) { console.warn( "hasDefaultHeader (bool) is deprecated and has no effect, use promptHeader (string) instead" @@ -180,6 +182,7 @@ async function createCompletion( ...promptContext } = optionsWithDefaults; + const prompt = formatChatPrompt(messages, { systemPromptTemplate, defaultSystemPrompt: model.config.systemPrompt, @@ -192,11 +195,28 @@ async function createCompletion( // promptFooter: '### Response:', }); + return { + prompt, promptContext, verbose + } +} + +async function createCompletion( + model, + messages, + options = defaultCompletionOptions +) { + const { prompt, promptContext, verbose } = preparePromptAndContext(model,messages,options); + if (verbose) { console.debug("Sending Prompt:\n" + prompt); } - const response = await model.generate(prompt, promptContext); + let tokensGenerated = 0 + + const response = await model.generate(prompt, promptContext,() => { + tokensGenerated++; + return true; + }); if (verbose) { console.debug("Received Response:\n" + response); @@ -206,8 +226,8 @@ async function createCompletion( llmodel: model.llm.name(), usage: { prompt_tokens: prompt.length, - completion_tokens: response.length, //TODO - total_tokens: prompt.length + response.length, //TODO + completion_tokens: tokensGenerated, + total_tokens: prompt.length + tokensGenerated, //TODO Not sure how to get tokens in prompt }, choices: [ { @@ -220,8 +240,77 @@ async function createCompletion( }; } -function createTokenStream() { - throw Error("This API has not been completed yet!"); +function _internal_createTokenStream(stream,model, + messages, + options = defaultCompletionOptions,callback = undefined) { + const { prompt, promptContext, verbose } = preparePromptAndContext(model,messages,options); + + + if (verbose) { + console.debug("Sending Prompt:\n" + prompt); + } + + model.generate(prompt, promptContext,(tokenId, token, total) => { + stream.push(token); + + if(callback !== undefined){ + return callback(tokenId,token,total); + } + + return true; + }).then(() => { + stream.end() + }) + + return stream; +} + +function _createTokenStream(model, + messages, + options = defaultCompletionOptions,callback = undefined) { + + // Silent crash if we dont do this here + const stream = new Stream.PassThrough({ + encoding: 'utf-8' + }); + return _internal_createTokenStream(stream,model,messages,options,callback); +} + +async function* generateTokens(model, + messages, + options = defaultCompletionOptions, callback = undefined) { + const stream = _createTokenStream(model,messages,options,callback) + + let bHasFinished = false; + let activeDataCallback = undefined; + const finishCallback = () => { + bHasFinished = true; + if(activeDataCallback !== undefined){ + activeDataCallback(undefined); + } + } + + stream.on("finish",finishCallback) + + while (!bHasFinished) { + const token = await new Promise((res) => { + + activeDataCallback = (d) => { + stream.off("data",activeDataCallback) + activeDataCallback = undefined + res(d); + } + stream.on('data', activeDataCallback) + }) + + if (token == undefined) { + break; + } + + yield token; + } + + stream.off("finish",finishCallback); } module.exports = { @@ -238,5 +327,5 @@ module.exports = { downloadModel, retrieveModel, loadModel, - createTokenStream, + generateTokens }; diff --git a/gpt4all-bindings/typescript/src/models.js b/gpt4all-bindings/typescript/src/models.js index f8cf5af3..31fe8001 100644 --- a/gpt4all-bindings/typescript/src/models.js +++ b/gpt4all-bindings/typescript/src/models.js @@ -9,10 +9,10 @@ class InferenceModel { this.config = config; } - async generate(prompt, promptContext) { + async generate(prompt, promptContext,callback) { warnOnSnakeCaseKeys(promptContext); const normalizedPromptContext = normalizePromptContext(promptContext); - const result = this.llm.raw_prompt(prompt, normalizedPromptContext, () => {}); + const result = this.llm.raw_prompt(prompt, normalizedPromptContext,callback); return result; } diff --git a/gpt4all-bindings/typescript/src/util.js b/gpt4all-bindings/typescript/src/util.js index 9c905679..a0923f93 100644 --- a/gpt4all-bindings/typescript/src/util.js +++ b/gpt4all-bindings/typescript/src/util.js @@ -224,7 +224,6 @@ async function retrieveModel(modelName, options = {}) { verbose: true, ...options, }; - 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