diff --git a/.codespellrc b/.codespellrc index 785961dc..e3bf1323 100644 --- a/.codespellrc +++ b/.codespellrc @@ -1,3 +1,3 @@ [codespell] ignore-words-list = blong, belong -skip = .git,*.pdf,*.svg +skip = .git,*.pdf,*.svg,*.lock diff --git a/gpt4all-bindings/typescript/.gitignore b/gpt4all-bindings/typescript/.gitignore index b38db2f2..2e79d15a 100644 --- a/gpt4all-bindings/typescript/.gitignore +++ b/gpt4all-bindings/typescript/.gitignore @@ -1,2 +1,3 @@ node_modules/ build/ +prebuilds/ diff --git a/gpt4all-bindings/typescript/.npmignore b/gpt4all-bindings/typescript/.npmignore index 86ffd305..8921a757 100644 --- a/gpt4all-bindings/typescript/.npmignore +++ b/gpt4all-bindings/typescript/.npmignore @@ -1,3 +1,4 @@ test/ spec/ - +scripts/ +build \ No newline at end of file diff --git a/gpt4all-bindings/typescript/README.md b/gpt4all-bindings/typescript/README.md index 7221687f..ef6b80c3 100644 --- a/gpt4all-bindings/typescript/README.md +++ b/gpt4all-bindings/typescript/README.md @@ -2,12 +2,32 @@ The original [GPT4All typescript bindings](https://github.com/nomic-ai/gpt4all-ts) are now out of date. - created by [jacoobes](https://github.com/jacoobes) and [nomic ai](https://home.nomic.ai) :D, for all to use. -- will maintain this repository when possible, new feature requests will be handled through nomic +### Code (alpha) +```js +import { LLModel, createCompletion, DEFAULT_DIRECTORY, DEFAULT_LIBRARIES_DIRECTORY } from '../src/gpt4all.js' + +const ll = new LLModel({ + model_name: 'ggml-vicuna-7b-1.1-q4_2.bin', + model_path: './', + library_path: DEFAULT_LIBRARIES_DIRECTORY +}); + +const response = await createCompletion(ll, [ + { role : 'system', content: 'You are meant to be annoying and unhelpful.' }, + { role : 'user', content: 'What is 1 + 1?' } +]); + +``` +### API +- The nodejs api has made strides to mirror the python api. It is not 100% mirrored, but many pieces of the api resemble its python counterpart. +- [docs](./docs/api.md) ### Build Instructions -- As of 05/21/2023, Tested on windows (MSVC) only. (somehow got it to work on MSVC 🤯) +- As of 05/21/2023, Tested on windows (MSVC). (somehow got it to work on MSVC 🤯) - binding.gyp is compile config +- Tested on Ubuntu. Everything seems to work fine +- MingW works as well to build the gpt4all-backend. HOWEVER, this package works only with MSVC built dlls. ### Requirements - git @@ -31,6 +51,15 @@ cd gpt4all-bindings/typescript ```sh git submodule update --init --depth 1 --recursive ``` +**AS OF NEW BACKEND** to build the backend, +```sh +yarn build:backend +``` +This will build platform-dependent dynamic libraries, and will be located in runtimes/(platform)/native The only current way to use them is to put them in the current working directory of your application. That is, **WHEREVER YOU RUN YOUR NODE APPLICATION** +- llama-xxxx.dll is required. +- According to whatever model you are using, you'll need to select the proper model loader. + - For example, if you running an Mosaic MPT model, you will need to select the mpt-(buildvariant).(dynamiclibrary) + ### Test ```sh yarn test @@ -48,9 +77,22 @@ yarn test #### spec/ - Average look and feel of the api -- Should work assuming a model is installed locally in working directory +- Should work assuming a model and libraries are installed locally in working directory #### index.cc - The bridge between nodejs and c. Where the bindings are. +#### prompt.cc +- Handling prompting and inference of models in a threadsafe, asynchronous way. +#### docs/ +- Autogenerated documentation using the script `yarn docs:build` +### Roadmap +This package is in active development, and breaking changes may happen until the api stabilizes. Here's what's the todo list: + +- [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) +- [ ] proper unit testing (integrate with circle ci) +- [ ] publish to npm under alpha tag `gpt4all@alpha` +- [ ] have more people test on other platforms (mac tester needed) +- [x] switch to new pluggable backend diff --git a/gpt4all-bindings/typescript/binding.gyp b/gpt4all-bindings/typescript/binding.gyp index 0929a627..1cbbbbce 100644 --- a/gpt4all-bindings/typescript/binding.gyp +++ b/gpt4all-bindings/typescript/binding.gyp @@ -1,45 +1,55 @@ { "targets": [ { - "target_name": "gpt4allts", # gpt4all-ts will cause compile error - "cflags!": [ "-fno-exceptions" ], - "cflags_cc!": [ "-fno-exceptions" ], + "target_name": "gpt4all", # gpt4all-ts will cause compile error + "cflags_cc!": [ "-fno-exceptions"], "include_dirs": [ " + +### Table of Contents + +* [download][1] + * [Parameters][2] + * [Examples][3] +* [DownloadOptions][4] + * [location][5] + * [debug][6] + * [url][7] +* [DownloadController][8] + * [cancel][9] + * [promise][10] +* [ModelType][11] +* [ModelFile][12] + * [gptj][13] + * [llama][14] + * [mpt][15] +* [type][16] +* [LLModel][17] + * [constructor][18] + * [Parameters][19] + * [type][20] + * [name][21] + * [stateSize][22] + * [threadCount][23] + * [setThreadCount][24] + * [Parameters][25] + * [raw\_prompt][26] + * [Parameters][27] + * [isModelLoaded][28] + * [setLibraryPath][29] + * [Parameters][30] + * [getLibraryPath][31] +* [createCompletion][32] + * [Parameters][33] + * [Examples][34] +* [CompletionOptions][35] + * [verbose][36] + * [hasDefaultHeader][37] + * [hasDefaultFooter][38] +* [PromptMessage][39] + * [role][40] + * [content][41] +* [prompt\_tokens][42] +* [completion\_tokens][43] +* [total\_tokens][44] +* [CompletionReturn][45] + * [model][46] + * [usage][47] + * [choices][48] +* [CompletionChoice][49] + * [message][50] +* [LLModelPromptContext][51] + * [logits\_size][52] + * [tokens\_size][53] + * [n\_past][54] + * [n\_ctx][55] + * [n\_predict][56] + * [top\_k][57] + * [top\_p][58] + * [temp][59] + * [n\_batch][60] + * [repeat\_penalty][61] + * [repeat\_last\_n][62] + * [context\_erase][63] +* [createTokenStream][64] + * [Parameters][65] +* [DEFAULT\_DIRECTORY][66] +* [DEFAULT\_LIBRARIES\_DIRECTORY][67] + +## download + +Initiates the download of a model file of a specific model type. +By default this downloads without waiting. use the controller returned to alter this behavior. + +### Parameters + +* `model` **[ModelFile][12]** The model file to be downloaded. +* `options` **[DownloadOptions][4]** to pass into the downloader. Default is { location: (cwd), debug: false }. + +### Examples + +```javascript +const controller = download('ggml-gpt4all-j-v1.3-groovy.bin') +controller.promise().then(() => console.log('Downloaded!')) +``` + +* Throws **[Error][68]** If the model already exists in the specified location. +* Throws **[Error][68]** If the model cannot be found at the specified url. + +Returns **[DownloadController][8]** object that allows controlling the download process. + +## DownloadOptions + +Options for the model download process. + +### location + +location to download the model. +Default is process.cwd(), or the current working directory + +Type: [string][69] + +### debug + +Debug mode -- check how long it took to download in seconds + +Type: [boolean][70] + +### url + +Remote download url. Defaults to `https://gpt4all.io/models` + +Type: [string][69] + +## DownloadController + +Model download controller. + +### cancel + +Cancel the request to download from gpt4all website if this is called. + +Type: function (): void + +### promise + +Convert the downloader into a promise, allowing people to await and manage its lifetime + +Type: function (): [Promise][71]\ + +## ModelType + +Type of the model + +Type: (`"gptj"` | `"llama"` | `"mpt"`) + +## ModelFile + +Full list of models available + +### gptj + +List of GPT-J Models + +Type: (`"ggml-gpt4all-j-v1.3-groovy.bin"` | `"ggml-gpt4all-j-v1.2-jazzy.bin"` | `"ggml-gpt4all-j-v1.1-breezy.bin"` | `"ggml-gpt4all-j.bin"`) + +### llama + +List Llama Models + +Type: (`"ggml-gpt4all-l13b-snoozy.bin"` | `"ggml-vicuna-7b-1.1-q4_2.bin"` | `"ggml-vicuna-13b-1.1-q4_2.bin"` | `"ggml-wizardLM-7B.q4_2.bin"` | `"ggml-stable-vicuna-13B.q4_2.bin"` | `"ggml-nous-gpt4-vicuna-13b.bin"`) + +### mpt + +List of MPT Models + +Type: (`"ggml-mpt-7b-base.bin"` | `"ggml-mpt-7b-chat.bin"` | `"ggml-mpt-7b-instruct.bin"`) + +## type + +Model architecture. This argument currently does not have any functionality and is just used as descriptive identifier for user. + +Type: [ModelType][11] + +## LLModel + +LLModel class representing a language model. +This is a base class that provides common functionality for different types of language models. + +### constructor + +Initialize a new LLModel. + +#### Parameters + +* `path` **[string][69]** Absolute path to the model file. + + + +* Throws **[Error][68]** If the model file does not exist. + +### type + +either 'gpt', mpt', or 'llama' or undefined + +Returns **([ModelType][11] | [undefined][72])** + +### name + +The name of the model. + +Returns **[ModelFile][12]** + +### stateSize + +Get the size of the internal state of the model. +NOTE: This state data is specific to the type of model you have created. + +Returns **[number][73]** the size in bytes of the internal state of the model + +### threadCount + +Get the number of threads used for model inference. +The default is the number of physical cores your computer has. + +Returns **[number][73]** The number of threads used for model inference. + +### setThreadCount + +Set the number of threads used for model inference. + +#### Parameters + +* `newNumber` **[number][73]** The new number of threads. + +Returns **void** + +### raw\_prompt + +Prompt the model with a given input and optional parameters. +This is the raw output from std out. +Use the prompt function exported for a value + +#### Parameters + +* `q` **[string][69]** The prompt input. +* `params` **Partial<[LLModelPromptContext][51]>?** Optional parameters for the prompt context. + +Returns **any** The result of the model prompt. + +### isModelLoaded + +Whether the model is loaded or not. + +Returns **[boolean][70]** + +### setLibraryPath + +Where to search for the pluggable backend libraries + +#### Parameters + +* `s` **[string][69]** + +Returns **void** + +### getLibraryPath + +Where to get the pluggable backend libraries + +Returns **[string][69]** + +## createCompletion + +The nodejs equivalent to python binding's chat\_completion + +### Parameters + +* `llmodel` **[LLModel][17]** The language model object. +* `messages` **[Array][74]<[PromptMessage][39]>** The array of messages for the conversation. +* `options` **[CompletionOptions][35]** The options for creating the completion. + +### Examples + +```javascript +const llmodel = new LLModel(model) +const messages = [ +{ role: 'system', message: 'You are a weather forecaster.' }, +{ role: 'user', message: 'should i go out today?' } ] +const completion = await createCompletion(llmodel, messages, { + verbose: true, + temp: 0.9, +}) +console.log(completion.choices[0].message.content) +// No, it's going to be cold and rainy. +``` + +Returns **[CompletionReturn][45]** The completion result. + +## CompletionOptions + +**Extends Partial\** + +The options for creating the completion. + +### verbose + +Indicates if verbose logging is enabled. + +Type: [boolean][70] + +### hasDefaultHeader + +Indicates if the default header is included in the prompt. + +Type: [boolean][70] + +### hasDefaultFooter + +Indicates if the default footer is included in the prompt. + +Type: [boolean][70] + +## PromptMessage + +A message in the conversation, identical to OpenAI's chat message. + +### role + +The role of the message. + +Type: (`"system"` | `"assistant"` | `"user"`) + +### content + +The message content. + +Type: [string][69] + +## prompt\_tokens + +The number of tokens used in the prompt. + +Type: [number][73] + +## completion\_tokens + +The number of tokens used in the completion. + +Type: [number][73] + +## total\_tokens + +The total number of tokens used. + +Type: [number][73] + +## CompletionReturn + +The result of the completion, similar to OpenAI's format. + +### model + +The model name. + +Type: [ModelFile][12] + +### usage + +Token usage report. + +Type: {prompt\_tokens: [number][73], completion\_tokens: [number][73], total\_tokens: [number][73]} + +### choices + +The generated completions. + +Type: [Array][74]<[CompletionChoice][49]> + +## CompletionChoice + +A completion choice, similar to OpenAI's format. + +### message + +Response message + +Type: [PromptMessage][39] + +## LLModelPromptContext + +Model inference arguments for generating completions. + +### logits\_size + +The size of the raw logits vector. + +Type: [number][73] + +### tokens\_size + +The size of the raw tokens vector. + +Type: [number][73] + +### n\_past + +The number of tokens in the past conversation. + +Type: [number][73] + +### n\_ctx + +The number of tokens possible in the context window. + +Type: [number][73] + +### n\_predict + +The number of tokens to predict. + +Type: [number][73] + +### top\_k + +The top-k logits to sample from. + +Type: [number][73] + +### top\_p + +The nucleus sampling probability threshold. + +Type: [number][73] + +### temp + +The temperature to adjust the model's output distribution. + +Type: [number][73] + +### n\_batch + +The number of predictions to generate in parallel. + +Type: [number][73] + +### repeat\_penalty + +The penalty factor for repeated tokens. + +Type: [number][73] + +### repeat\_last\_n + +The number of last tokens to penalize. + +Type: [number][73] + +### context\_erase + +The percentage of context to erase if the context window is exceeded. + +Type: [number][73] + +## createTokenStream + +TODO: Help wanted to implement this + +### Parameters + +* `llmodel` **[LLModel][17]** +* `messages` **[Array][74]<[PromptMessage][39]>** +* `options` **[CompletionOptions][35]** + +Returns **function (ll: [LLModel][17]): AsyncGenerator<[string][69]>** + +## DEFAULT\_DIRECTORY + +From python api: +models will be stored in (homedir)/.cache/gpt4all/\` + +Type: [string][69] + +## DEFAULT\_LIBRARIES\_DIRECTORY + +From python api: +The default path for dynamic libraries to be stored. +You may separate paths by a semicolon to search in multiple areas. +This searches DEFAULT\_DIRECTORY/libraries, cwd/libraries, and finally cwd. + +Type: [string][69] + +[1]: #download + +[2]: #parameters + +[3]: #examples + +[4]: #downloadoptions + +[5]: #location + +[6]: #debug + +[7]: #url + +[8]: #downloadcontroller + +[9]: #cancel + +[10]: #promise + +[11]: #modeltype + +[12]: #modelfile + +[13]: #gptj + +[14]: #llama + +[15]: #mpt + +[16]: #type + +[17]: #llmodel + +[18]: #constructor + +[19]: #parameters-1 + +[20]: #type-1 + +[21]: #name + +[22]: #statesize + +[23]: #threadcount + +[24]: #setthreadcount + +[25]: #parameters-2 + +[26]: #raw_prompt + +[27]: #parameters-3 + +[28]: #ismodelloaded + +[29]: #setlibrarypath + +[30]: #parameters-4 + +[31]: #getlibrarypath + +[32]: #createcompletion + +[33]: #parameters-5 + +[34]: #examples-1 + +[35]: #completionoptions + +[36]: #verbose + +[37]: #hasdefaultheader + +[38]: #hasdefaultfooter + +[39]: #promptmessage + +[40]: #role + +[41]: #content + +[42]: #prompt_tokens + +[43]: #completion_tokens + +[44]: #total_tokens + +[45]: #completionreturn + +[46]: #model + +[47]: #usage + +[48]: #choices + +[49]: #completionchoice + +[50]: #message + +[51]: #llmodelpromptcontext + +[52]: #logits_size + +[53]: #tokens_size + +[54]: #n_past + +[55]: #n_ctx + +[56]: #n_predict + +[57]: #top_k + +[58]: #top_p + +[59]: #temp + +[60]: #n_batch + +[61]: #repeat_penalty + +[62]: #repeat_last_n + +[63]: #context_erase + +[64]: #createtokenstream + +[65]: #parameters-6 + +[66]: #default_directory + +[67]: #default_libraries_directory + +[68]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Error + +[69]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/String + +[70]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Boolean + +[71]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Promise + +[72]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/undefined + +[73]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Number + +[74]: https://developer.mozilla.org/docs/Web/JavaScript/Reference/Global_Objects/Array diff --git a/gpt4all-bindings/typescript/index.cc b/gpt4all-bindings/typescript/index.cc index 4b443420..b5233225 100644 --- a/gpt4all-bindings/typescript/index.cc +++ b/gpt4all-bindings/typescript/index.cc @@ -1,68 +1,95 @@ -#include -#include -#include "llmodel_c.h" -#include "llmodel.h" -#include "gptj.h" -#include "llamamodel.h" -#include "mpt.h" -#include "stdcapture.h" +#include "index.h" -class NodeModelWrapper : public Napi::ObjectWrap { -public: - static Napi::Object Init(Napi::Env env, Napi::Object exports) { - Napi::Function func = DefineClass(env, "LLModel", { - InstanceMethod("type", &NodeModelWrapper::getType), - InstanceMethod("name", &NodeModelWrapper::getName), - InstanceMethod("stateSize", &NodeModelWrapper::StateSize), - InstanceMethod("raw_prompt", &NodeModelWrapper::Prompt), - InstanceMethod("setThreadCount", &NodeModelWrapper::SetThreadCount), - InstanceMethod("threadCount", &NodeModelWrapper::ThreadCount), +Napi::FunctionReference NodeModelWrapper::constructor; + +Napi::Function NodeModelWrapper::GetClass(Napi::Env env) { + Napi::Function self = DefineClass(env, "LLModel", { + InstanceMethod("type", &NodeModelWrapper::getType), + InstanceMethod("isModelLoaded", &NodeModelWrapper::IsModelLoaded), + InstanceMethod("name", &NodeModelWrapper::getName), + InstanceMethod("stateSize", &NodeModelWrapper::StateSize), + InstanceMethod("raw_prompt", &NodeModelWrapper::Prompt), + InstanceMethod("setThreadCount", &NodeModelWrapper::SetThreadCount), + InstanceMethod("threadCount", &NodeModelWrapper::ThreadCount), + InstanceMethod("getLibraryPath", &NodeModelWrapper::GetLibraryPath), }); - - Napi::FunctionReference* constructor = new Napi::FunctionReference(); - *constructor = Napi::Persistent(func); - env.SetInstanceData(constructor); - - exports.Set("LLModel", func); - return exports; + // Keep a static reference to the constructor + // + constructor = Napi::Persistent(self); + constructor.SuppressDestruct(); + return self; } - - Napi::Value getType(const Napi::CallbackInfo& info) + + Napi::Value NodeModelWrapper::getType(const Napi::CallbackInfo& info) { + if(type.empty()) { + return info.Env().Undefined(); + } return Napi::String::New(info.Env(), type); } - NodeModelWrapper(const Napi::CallbackInfo& info) : Napi::ObjectWrap(info) + NodeModelWrapper::NodeModelWrapper(const Napi::CallbackInfo& info) : Napi::ObjectWrap(info) { auto env = info.Env(); - std::string weights_path = info[0].As().Utf8Value(); + fs::path model_path; - const char *c_weights_path = weights_path.c_str(); - - inference_ = create_model_set_type(c_weights_path); + std::string full_weight_path; + //todo + std::string library_path = "."; + std::string model_name; + if(info[0].IsString()) { + model_path = info[0].As().Utf8Value(); + full_weight_path = model_path.string(); + std::cout << "DEPRECATION: constructor accepts object now. Check docs for more.\n"; + } else { + auto config_object = info[0].As(); + model_name = config_object.Get("model_name").As(); + model_path = config_object.Get("model_path").As().Utf8Value(); + if(config_object.Has("model_type")) { + type = config_object.Get("model_type").As(); + } + full_weight_path = (model_path / fs::path(model_name)).string(); + + if(config_object.Has("library_path")) { + library_path = config_object.Get("library_path").As(); + } else { + library_path = "."; + } + } + llmodel_set_implementation_search_path(library_path.c_str()); + llmodel_error* e = nullptr; + inference_ = std::make_shared(llmodel_model_create2(full_weight_path.c_str(), "auto", e)); + if(e != nullptr) { + Napi::Error::New(env, e->message).ThrowAsJavaScriptException(); + return; + } + if(GetInference() == nullptr) { + std::cerr << "Tried searching libraries in \"" << library_path << "\"" << std::endl; + std::cerr << "Tried searching for model weight in \"" << full_weight_path << "\"" << std::endl; + Napi::Error::New(env, "Had an issue creating llmodel object, inference is null").ThrowAsJavaScriptException(); + return; + } - auto success = llmodel_loadModel(inference_, c_weights_path); + auto success = llmodel_loadModel(GetInference(), full_weight_path.c_str()); if(!success) { Napi::Error::New(env, "Failed to load model at given path").ThrowAsJavaScriptException(); return; } - name = weights_path.substr(weights_path.find_last_of("/\\") + 1); - + name = model_name.empty() ? model_path.filename().string() : model_name; }; - ~NodeModelWrapper() { - // destroying the model manually causes exit code 3221226505, why? - // However, bindings seem to operate fine without destructing pointer - //llmodel_model_destroy(inference_); + //NodeModelWrapper::~NodeModelWrapper() { + //GetInference().reset(); + //} + + Napi::Value NodeModelWrapper::IsModelLoaded(const Napi::CallbackInfo& info) { + return Napi::Boolean::New(info.Env(), llmodel_isModelLoaded(GetInference())); } - Napi::Value IsModelLoaded(const Napi::CallbackInfo& info) { - return Napi::Boolean::New(info.Env(), llmodel_isModelLoaded(inference_)); - } - - Napi::Value StateSize(const Napi::CallbackInfo& info) { + Napi::Value NodeModelWrapper::StateSize(const Napi::CallbackInfo& info) { // Implement the binding for the stateSize method - return Napi::Number::New(info.Env(), static_cast(llmodel_get_state_size(inference_))); + return Napi::Number::New(info.Env(), static_cast(llmodel_get_state_size(GetInference()))); } + /** * Generate a response using the model. @@ -73,16 +100,14 @@ public: * @param recalculate_callback A callback function for handling recalculation requests. * @param ctx A pointer to the llmodel_prompt_context structure. */ - Napi::Value Prompt(const Napi::CallbackInfo& info) { - + Napi::Value NodeModelWrapper::Prompt(const Napi::CallbackInfo& info) { auto env = info.Env(); - std::string question; if(info[0].IsString()) { question = info[0].As().Utf8Value(); } else { - Napi::Error::New(env, "invalid string argument").ThrowAsJavaScriptException(); - return env.Undefined(); + Napi::Error::New(info.Env(), "invalid string argument").ThrowAsJavaScriptException(); + return info.Env().Undefined(); } //defaults copied from python bindings llmodel_prompt_context promptContext = { @@ -101,127 +126,90 @@ public: }; if(info[1].IsObject()) { - auto inputObject = info[1].As(); + auto inputObject = info[1].As(); // Extract and assign the properties - if (inputObject.Has("logits") || inputObject.Has("tokens")) { - Napi::Error::New(env, "Invalid input: 'logits' or 'tokens' properties are not allowed").ThrowAsJavaScriptException(); - return env.Undefined(); - } + if (inputObject.Has("logits") || inputObject.Has("tokens")) { + Napi::Error::New(info.Env(), "Invalid input: 'logits' or 'tokens' properties are not allowed").ThrowAsJavaScriptException(); + return info.Env().Undefined(); + } // Assign the remaining properties - if(inputObject.Has("n_past")) { - promptContext.n_past = inputObject.Get("n_past").As().Int32Value(); - } - if(inputObject.Has("n_ctx")) { - promptContext.n_ctx = inputObject.Get("n_ctx").As().Int32Value(); - } - if(inputObject.Has("n_predict")) { - promptContext.n_predict = inputObject.Get("n_predict").As().Int32Value(); - } - if(inputObject.Has("top_k")) { - promptContext.top_k = inputObject.Get("top_k").As().Int32Value(); - } - if(inputObject.Has("top_p")) { - promptContext.top_p = inputObject.Get("top_p").As().FloatValue(); - } - if(inputObject.Has("temp")) { - promptContext.temp = inputObject.Get("temp").As().FloatValue(); - } - if(inputObject.Has("n_batch")) { - promptContext.n_batch = inputObject.Get("n_batch").As().Int32Value(); - } - if(inputObject.Has("repeat_penalty")) { - promptContext.repeat_penalty = inputObject.Get("repeat_penalty").As().FloatValue(); - } - if(inputObject.Has("repeat_last_n")) { - promptContext.repeat_last_n = inputObject.Get("repeat_last_n").As().Int32Value(); - } - if(inputObject.Has("context_erase")) { - promptContext.context_erase = inputObject.Get("context_erase").As().FloatValue(); - } + if(inputObject.Has("n_past")) + promptContext.n_past = inputObject.Get("n_past").As().Int32Value(); + if(inputObject.Has("n_ctx")) + promptContext.n_ctx = inputObject.Get("n_ctx").As().Int32Value(); + if(inputObject.Has("n_predict")) + promptContext.n_predict = inputObject.Get("n_predict").As().Int32Value(); + if(inputObject.Has("top_k")) + promptContext.top_k = inputObject.Get("top_k").As().Int32Value(); + if(inputObject.Has("top_p")) + promptContext.top_p = inputObject.Get("top_p").As().FloatValue(); + if(inputObject.Has("temp")) + promptContext.temp = inputObject.Get("temp").As().FloatValue(); + if(inputObject.Has("n_batch")) + promptContext.n_batch = inputObject.Get("n_batch").As().Int32Value(); + if(inputObject.Has("repeat_penalty")) + promptContext.repeat_penalty = inputObject.Get("repeat_penalty").As().FloatValue(); + if(inputObject.Has("repeat_last_n")) + promptContext.repeat_last_n = inputObject.Get("repeat_last_n").As().Int32Value(); + if(inputObject.Has("context_erase")) + promptContext.context_erase = inputObject.Get("context_erase").As().FloatValue(); } - // custom callbacks are weird with the gpt4all c bindings: I need to turn Napi::Functions into raw c function pointers, - // but it doesn't seem like its possible? (TODO, is it possible?) + //copy to protect llmodel resources when splitting to new thread - // if(info[1].IsFunction()) { - // Napi::Callback cb = *info[1].As(); - // } - - - // For now, simple capture of stdout - // possible TODO: put this on a libuv async thread. (AsyncWorker) - CoutRedirect cr; - llmodel_prompt(inference_, question.c_str(), &prompt_callback, &response_callback, &recalculate_callback, &promptContext); - return Napi::String::New(env, cr.getString()); + llmodel_prompt_context copiedPrompt = promptContext; + std::string copiedQuestion = question; + PromptWorkContext pc = { + copiedQuestion, + inference_.load(), + 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(); } - void SetThreadCount(const Napi::CallbackInfo& info) { + void NodeModelWrapper::SetThreadCount(const Napi::CallbackInfo& info) { if(info[0].IsNumber()) { - llmodel_setThreadCount(inference_, info[0].As().Int64Value()); + llmodel_setThreadCount(GetInference(), info[0].As().Int64Value()); } else { Napi::Error::New(info.Env(), "Could not set thread count: argument 1 is NaN").ThrowAsJavaScriptException(); return; } } - Napi::Value getName(const Napi::CallbackInfo& info) { + + Napi::Value NodeModelWrapper::getName(const Napi::CallbackInfo& info) { return Napi::String::New(info.Env(), name); } - Napi::Value ThreadCount(const Napi::CallbackInfo& info) { - return Napi::Number::New(info.Env(), llmodel_threadCount(inference_)); + Napi::Value NodeModelWrapper::ThreadCount(const Napi::CallbackInfo& info) { + return Napi::Number::New(info.Env(), llmodel_threadCount(GetInference())); } -private: - llmodel_model inference_; - std::string type; - std::string name; - - - //wrapper cb to capture output into stdout.then, CoutRedirect captures this - // and writes it to a file - static bool response_callback(int32_t tid, const char* resp) - { - if(tid != -1) { - std::cout< +#include "llmodel.h" +#include +#include "llmodel_c.h" +#include "prompt.h" +#include +#include +#include +namespace fs = std::filesystem; + +class NodeModelWrapper: public Napi::ObjectWrap { +public: + NodeModelWrapper(const Napi::CallbackInfo &); + //~NodeModelWrapper(); + Napi::Value getType(const Napi::CallbackInfo& info); + Napi::Value IsModelLoaded(const Napi::CallbackInfo& info); + Napi::Value StateSize(const Napi::CallbackInfo& info); + /** + * Prompting the model. This entails spawning a new thread and adding the response tokens + * into a thread local string variable. + */ + Napi::Value Prompt(const Napi::CallbackInfo& info); + void SetThreadCount(const Napi::CallbackInfo& info); + Napi::Value getName(const Napi::CallbackInfo& info); + Napi::Value ThreadCount(const Napi::CallbackInfo& info); + /* + * The path that is used to search for the dynamic libraries + */ + Napi::Value GetLibraryPath(const Napi::CallbackInfo& info); + /** + * Creates the LLModel class + */ + static Napi::Function GetClass(Napi::Env); + llmodel_model GetInference(); +private: + /** + * The underlying inference that interfaces with the C interface + */ + std::atomic> inference_; + + std::string type; + // corresponds to LLModel::name() in typescript + std::string name; + static Napi::FunctionReference constructor; +}; diff --git a/gpt4all-bindings/typescript/package.json b/gpt4all-bindings/typescript/package.json index 8abb1121..e9ec29c5 100644 --- a/gpt4all-bindings/typescript/package.json +++ b/gpt4all-bindings/typescript/package.json @@ -1,19 +1,32 @@ { - "name": "gpt4all-ts", + "name": "gpt4all", + "version": "2.0.0", "packageManager": "yarn@3.5.1", - "gypfile": true, + "main": "src/gpt4all.js", + "repository": "nomic-ai/gpt4all", "scripts": { - "test": "node ./test/index.mjs" + "test": "node ./test/index.mjs", + "build:backend": "node scripts/build.js", + "install": "node-gyp-build", + "prebuild": "node scripts/prebuild.js", + "docs:build": "documentation build ./src/gpt4all.d.ts --parse-extension d.ts --format md --output docs/api.md" }, "dependencies": { - "bindings": "^1.5.0", - "node-addon-api": "^6.1.0" + "mkdirp": "^3.0.1", + "node-addon-api": "^6.1.0", + "node-gyp-build": "^4.6.0" }, "devDependencies": { - "@types/node": "^20.1.5" + "@types/node": "^20.1.5", + "documentation": "^14.0.2", + "prebuildify": "^5.0.1", + "prettier": "^2.8.8" }, "engines": { "node": ">= 18.x.x" + }, + "prettier": { + "endOfLine": "lf", + "tabWidth": 4 } - } diff --git a/gpt4all-bindings/typescript/prompt.cc b/gpt4all-bindings/typescript/prompt.cc new file mode 100644 index 00000000..3a30e871 --- /dev/null +++ b/gpt4all-bindings/typescript/prompt.cc @@ -0,0 +1,62 @@ +#include "prompt.h" + + +TsfnContext::TsfnContext(Napi::Env env, const PromptWorkContext& pc) + : deferred_(Napi::Promise::Deferred::New(env)), pc(pc) { +} + +std::mutex mtx; +static thread_local std::string res; +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; +}; + +// The thread entry point. This takes as its arguments the specific +// threadsafe-function context created inside the main thread. +void threadEntry(TsfnContext* context) { + std::lock_guard lock(mtx); + // Perform a call into JavaScript. + napi_status status = + context->tsfn.NonBlockingCall(&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 + ); + jsCallback.Call({ Napi::String::New(env, res)} ); + res.clear(); + }); + + 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(); +} + +void FinalizerCallback(Napi::Env env, + void* finalizeData, + TsfnContext* context) { + // Join the thread + context->nativeThread.join(); + // Resolve the Promise previously returned to JS via the CreateTSFN method. + context->deferred_.Resolve(Napi::Boolean::New(env, true)); + delete context; +} + + diff --git a/gpt4all-bindings/typescript/prompt.h b/gpt4all-bindings/typescript/prompt.h new file mode 100644 index 00000000..c1303c7e --- /dev/null +++ b/gpt4all-bindings/typescript/prompt.h @@ -0,0 +1,42 @@ +#ifndef TSFN_CONTEXT_H +#define TSFN_CONTEXT_H + +#include "napi.h" +#include "llmodel_c.h" +#include +#include +#include +#include +#include +struct PromptWorkContext { + std::string question; + std::shared_ptr inference_; + llmodel_prompt_context prompt_params; +}; + +struct TsfnContext { +public: + TsfnContext(Napi::Env env, const PromptWorkContext &pc); + std::thread nativeThread; + Napi::Promise::Deferred deferred_; + PromptWorkContext pc; + Napi::ThreadSafeFunction tsfn; + + // Some data to pass around + // int ints[ARRAY_LENGTH]; + +}; + +// The thread entry point. This takes as its arguments the specific +// threadsafe-function context created inside the main thread. +void threadEntry(TsfnContext* context); + +// 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 env, void* finalizeData, TsfnContext* context); + +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 diff --git a/gpt4all-bindings/typescript/scripts/build.js b/gpt4all-bindings/typescript/scripts/build.js new file mode 100644 index 00000000..de8f28e8 --- /dev/null +++ b/gpt4all-bindings/typescript/scripts/build.js @@ -0,0 +1,17 @@ +const { spawn } = require("node:child_process"); +const { resolve } = require("path"); +const args = process.argv.slice(2); +const platform = process.platform; + +//windows 64bit or 32 +if (platform === "win32") { + const path = "scripts/build_msvc.bat"; + spawn(resolve(path), ["/Y", ...args], { shell: true, stdio: "inherit" }); + process.on("data", (s) => console.log(s.toString())); +} else if (platform === "linux" || platform === "darwin") { + const path = "scripts/build_unix.sh"; + const bash = spawn(`sh`, [path, ...args]); + bash.stdout.on("data", (s) => console.log(s.toString()), { + stdio: "inherit", + }); +} diff --git a/gpt4all-bindings/typescript/scripts/build_mingw.ps1 b/gpt4all-bindings/typescript/scripts/build_mingw.ps1 new file mode 100644 index 00000000..47d00a4f --- /dev/null +++ b/gpt4all-bindings/typescript/scripts/build_mingw.ps1 @@ -0,0 +1,16 @@ +$ROOT_DIR = '.\runtimes\win-x64' +$BUILD_DIR = '.\runtimes\win-x64\build\mingw' +$LIBS_DIR = '.\runtimes\win-x64\native' + +# cleanup env +Remove-Item -Force -Recurse $ROOT_DIR -ErrorAction SilentlyContinue | Out-Null +mkdir $BUILD_DIR | Out-Null +mkdir $LIBS_DIR | Out-Null + +# build +cmake -G "MinGW Makefiles" -S ..\..\gpt4all-backend -B $BUILD_DIR -DLLAMA_AVX2=ON +cmake --build $BUILD_DIR --parallel --config Release + +# copy native dlls +# cp "C:\ProgramData\chocolatey\lib\mingw\tools\install\mingw64\bin\*dll" $LIBS_DIR +cp "$BUILD_DIR\bin\*.dll" $LIBS_DIR diff --git a/gpt4all-bindings/typescript/scripts/build_unix.sh b/gpt4all-bindings/typescript/scripts/build_unix.sh new file mode 100644 index 00000000..1bb69af8 --- /dev/null +++ b/gpt4all-bindings/typescript/scripts/build_unix.sh @@ -0,0 +1,31 @@ +#!/bin/sh + +SYSNAME=$(uname -s) + +if [ "$SYSNAME" = "Linux" ]; then + BASE_DIR="runtimes/linux-x64" + LIB_EXT="so" +elif [ "$SYSNAME" = "Darwin" ]; then + BASE_DIR="runtimes/osx" + LIB_EXT="dylib" +elif [ -n "$SYSNAME" ]; then + echo "Unsupported system: $SYSNAME" >&2 + exit 1 +else + echo "\"uname -s\" failed" >&2 + exit 1 +fi + +NATIVE_DIR="$BASE_DIR/native" +BUILD_DIR="$BASE_DIR/build" + +rm -rf "$BASE_DIR" +mkdir -p "$NATIVE_DIR" "$BUILD_DIR" + +cmake -S ../../gpt4all-backend -B "$BUILD_DIR" && +cmake --build "$BUILD_DIR" -j --config Release && { + cp "$BUILD_DIR"/libllmodel.$LIB_EXT "$NATIVE_DIR"/ + cp "$BUILD_DIR"/libgptj*.$LIB_EXT "$NATIVE_DIR"/ + cp "$BUILD_DIR"/libllama*.$LIB_EXT "$NATIVE_DIR"/ + cp "$BUILD_DIR"/libmpt*.$LIB_EXT "$NATIVE_DIR"/ +} diff --git a/gpt4all-bindings/typescript/scripts/prebuild.js b/gpt4all-bindings/typescript/scripts/prebuild.js new file mode 100644 index 00000000..227a1eef --- /dev/null +++ b/gpt4all-bindings/typescript/scripts/prebuild.js @@ -0,0 +1,50 @@ +const prebuildify = require("prebuildify"); + +async function createPrebuilds(combinations) { + for (const { platform, arch } of combinations) { + const opts = { + platform, + arch, + napi: true, + }; + try { + await createPrebuild(opts); + console.log( + `Build succeeded for platform ${opts.platform} and architecture ${opts.arch}` + ); + } catch (err) { + console.error( + `Error building for platform ${opts.platform} and architecture ${opts.arch}:`, + err + ); + } + } +} + +function createPrebuild(opts) { + return new Promise((resolve, reject) => { + prebuildify(opts, (err) => { + if (err) { + reject(err); + } else { + resolve(); + } + }); + }); +} + +const prebuildConfigs = [ + { platform: "win32", arch: "x64" }, + { platform: "win32", arch: "arm64" }, + // { platform: 'win32', arch: 'armv7' }, + { platform: "darwin", arch: "x64" }, + { platform: "darwin", arch: "arm64" }, + // { platform: 'darwin', arch: 'armv7' }, + { platform: "linux", arch: "x64" }, + { platform: "linux", arch: "arm64" }, + { platform: "linux", arch: "armv7" }, +]; + +createPrebuilds(prebuildConfigs) + .then(() => console.log("All builds succeeded")) + .catch((err) => console.error("Error building:", err)); diff --git a/gpt4all-bindings/typescript/spec/index.mjs b/gpt4all-bindings/typescript/spec/index.mjs index d80d398f..1893591b 100644 --- a/gpt4all-bindings/typescript/spec/index.mjs +++ b/gpt4all-bindings/typescript/spec/index.mjs @@ -1,14 +1,15 @@ -import { LLModel, prompt, createCompletion } from '../src/gpt4all.js' - - - -const ll = new LLModel("./ggml-vicuna-7b-1.1-q4_2.bin"); +import { LLModel, createCompletion, DEFAULT_DIRECTORY, DEFAULT_LIBRARIES_DIRECTORY } from '../src/gpt4all.js' +const ll = new LLModel({ + model_name: 'ggml-vicuna-7b-1.1-q4_2.bin', + model_path: './', + library_path: DEFAULT_LIBRARIES_DIRECTORY +}); try { class Extended extends LLModel { - } + } catch(e) { console.log("Extending from native class gone wrong " + e) } @@ -20,13 +21,26 @@ ll.setThreadCount(5); console.log("thread count " + ll.threadCount()); ll.setThreadCount(4); console.log("thread count " + ll.threadCount()); +console.log("name " + ll.name()); +console.log("type: " + ll.type()); +console.log("Default directory for models", DEFAULT_DIRECTORY); +console.log("Default directory for libraries", DEFAULT_LIBRARIES_DIRECTORY); - -console.log(createCompletion( +console.log(await createCompletion( ll, - prompt`${"header"} ${"prompt"}`, { - verbose: true, - prompt: 'hello! Say something thought provoking.' - } + [ + { role : 'system', content: 'You are a girl who likes playing league of legends.' }, + { role : 'user', content: 'What is the best top laner to play right now?' }, + ], + { verbose: false} )); + +console.log(await createCompletion( + ll, + [ + { role : 'user', content: 'What is the best bottom laner to play right now?' }, + ], +)) + + diff --git a/gpt4all-bindings/typescript/src/config.js b/gpt4all-bindings/typescript/src/config.js new file mode 100644 index 00000000..2602fdde --- /dev/null +++ b/gpt4all-bindings/typescript/src/config.js @@ -0,0 +1,22 @@ +const os = require("node:os"); +const path = require("node:path"); + +const DEFAULT_DIRECTORY = path.resolve(os.homedir(), ".cache/gpt4all"); + +const librarySearchPaths = [ + path.join(DEFAULT_DIRECTORY, "libraries"), + path.resolve("./libraries"), + path.resolve( + __dirname, + "..", + `runtimes/${process.platform}-${process.arch}/native` + ), + process.cwd(), +]; + +const DEFAULT_LIBRARIES_DIRECTORY = librarySearchPaths.join(";"); + +module.exports = { + DEFAULT_DIRECTORY, + DEFAULT_LIBRARIES_DIRECTORY, +}; diff --git a/gpt4all-bindings/typescript/src/gpt4all.d.ts b/gpt4all-bindings/typescript/src/gpt4all.d.ts index dd36e6ed..562072f0 100644 --- a/gpt4all-bindings/typescript/src/gpt4all.d.ts +++ b/gpt4all-bindings/typescript/src/gpt4all.d.ts @@ -1,162 +1,310 @@ /// -declare module 'gpt4all-ts'; +declare module "gpt4all"; +export * from "./util.d.ts"; +/** Type of the model */ +type ModelType = "gptj" | "llama" | "mpt" | "replit"; - -interface LLModelPromptContext { - - // Size of the raw logits vector - logits_size: number; - - // Size of the raw tokens vector - tokens_size: number; - - // Number of tokens in past conversation - n_past: number; - - // Number of tokens possible in context window - n_ctx: number; - - // Number of tokens to predict - n_predict: number; - - // Top k logits to sample from - top_k: number; - - // Nucleus sampling probability threshold - top_p: number; - - // Temperature to adjust model's output distribution - temp: number; - - // Number of predictions to generate in parallel - n_batch: number; - - // Penalty factor for repeated tokens - repeat_penalty: number; - - // Last n tokens to penalize - repeat_last_n: number; - - // Percent of context to erase if we exceed the context window - context_erase: number; +/** + * Full list of models available + */ +interface ModelFile { + /** List of GPT-J Models */ + gptj: + | "ggml-gpt4all-j-v1.3-groovy.bin" + | "ggml-gpt4all-j-v1.2-jazzy.bin" + | "ggml-gpt4all-j-v1.1-breezy.bin" + | "ggml-gpt4all-j.bin"; + /** List Llama Models */ + llama: + | "ggml-gpt4all-l13b-snoozy.bin" + | "ggml-vicuna-7b-1.1-q4_2.bin" + | "ggml-vicuna-13b-1.1-q4_2.bin" + | "ggml-wizardLM-7B.q4_2.bin" + | "ggml-stable-vicuna-13B.q4_2.bin" + | "ggml-nous-gpt4-vicuna-13b.bin" + | "ggml-v3-13b-hermes-q5_1.bin"; + /** List of MPT Models */ + mpt: + | "ggml-mpt-7b-base.bin" + | "ggml-mpt-7b-chat.bin" + | "ggml-mpt-7b-instruct.bin"; + /** List of Replit Models */ + replit: "ggml-replit-code-v1-3b.bin"; } - +//mirrors py options +interface LLModelOptions { + /** + * Model architecture. This argument currently does not have any functionality and is just used as descriptive identifier for user. + */ + type?: ModelType; + model_name: ModelFile[ModelType]; + model_path: string; + library_path?: string; +} /** * LLModel class representing a language model. * This is a base class that provides common functionality for different types of language models. */ declare class LLModel { - //either 'gpt', mpt', or 'llama' - type() : ModelType; - //The name of the model - name(): ModelFile; + /** + * Initialize a new LLModel. + * @param path Absolute path to the model file. + * @throws {Error} If the model file does not exist. + */ constructor(path: string); + constructor(options: LLModelOptions); + + /** either 'gpt', mpt', or 'llama' or undefined */ + type(): ModelType | undefined; + + /** The name of the model. */ + name(): ModelFile; + /** * Get the size of the internal state of the model. * NOTE: This state data is specific to the type of model you have created. * @return the size in bytes of the internal state of the model */ stateSize(): number; + /** * Get the number of threads used for model inference. * The default is the number of physical cores your computer has. * @returns The number of threads used for model inference. */ - threadCount() : number; + threadCount(): number; + /** * Set the number of threads used for model inference. * @param newNumber The new number of threads. */ setThreadCount(newNumber: number): void; - /** - * Prompt the model with a given input and optional parameters. - * This is the raw output from std out. - * Use the prompt function exported for a value - * @param q The prompt input. - * @param params Optional parameters for the prompt context. - * @returns The result of the model prompt. - */ - raw_prompt(q: string, params?: Partial) : unknown; //todo work on return type - -} -interface DownloadController { - //Cancel the request to download from gpt4all website if this is called. - cancel: () => void; - //Convert the downloader into a promise, allowing people to await and manage its lifetime - promise: () => Promise -} - - -export interface DownloadConfig { /** - * location to download the model. - * Default is process.cwd(), or the current working directory + * Prompt the model with a given input and optional parameters. + * This is the raw output from std out. + * Use the prompt function exported for a value + * @param q The prompt input. + * @param params Optional parameters for the prompt context. + * @returns The result of the model prompt. */ - location: string; + raw_prompt(q: string, params: Partial, callback: (res: string) => void): void; // TODO work on return type + /** - * Debug mode -- check how long it took to download in seconds + * Whether the model is loaded or not. */ - debug: boolean; + isModelLoaded(): boolean; + /** - * Default link = https://gpt4all.io/models` - * This property overrides the default. + * Where to search for the pluggable backend libraries */ - link?: string -} -/** - * Initiates the download of a model file of a specific model type. - * By default this downloads without waiting. use the controller returned to alter this behavior. - * @param {ModelFile[ModelType]} m - The model file to be downloaded. - * @param {Record} op - options to pass into the downloader. Default is { location: (cwd), debug: false }. - * @returns {DownloadController} A DownloadController object that allows controlling the download process. - */ -declare function download(m: ModelFile[ModelType], op: { location: string, debug: boolean, link?:string }): DownloadController - - -type ModelType = 'gptj' | 'llama' | 'mpt'; - -/* - * A nice interface for intellisense of all possibly models. - */ -interface ModelFile { - 'gptj': | "ggml-gpt4all-j-v1.3-groovy.bin" - | "ggml-gpt4all-j-v1.2-jazzy.bin" - | "ggml-gpt4all-j-v1.1-breezy.bin" - | "ggml-gpt4all-j.bin"; - 'llama':| "ggml-gpt4all-l13b-snoozy.bin" - | "ggml-vicuna-7b-1.1-q4_2.bin" - | "ggml-vicuna-13b-1.1-q4_2.bin" - | "ggml-wizardLM-7B.q4_2.bin" - | "ggml-stable-vicuna-13B.q4_2.bin" - | "ggml-nous-gpt4-vicuna-13b.bin" - 'mpt': | "ggml-mpt-7b-base.bin" - | "ggml-mpt-7b-chat.bin" - | "ggml-mpt-7b-instruct.bin" + setLibraryPath(s: string): void; + /** + * Where to get the pluggable backend libraries + */ + getLibraryPath(): string; } -interface ExtendedOptions { +interface LoadModelOptions { + modelPath?: string; + librariesPath?: string; + allowDownload?: boolean; verbose?: boolean; - system?: string; - header?: string; - prompt: string; - promptEntries?: Record } -type PromptTemplate = (...args: string[]) => string; +declare function loadModel( + modelName: string, + options?: LoadModelOptions +): Promise; +/** + * The nodejs equivalent to python binding's chat_completion + * @param {LLModel} llmodel - The language model object. + * @param {PromptMessage[]} messages - The array of messages for the conversation. + * @param {CompletionOptions} options - The options for creating the completion. + * @returns {CompletionReturn} The completion result. + * @example + * const llmodel = new LLModel(model) + * const messages = [ + * { role: 'system', message: 'You are a weather forecaster.' }, + * { role: 'user', message: 'should i go out today?' } ] + * const completion = await createCompletion(llmodel, messages, { + * verbose: true, + * temp: 0.9, + * }) + * console.log(completion.choices[0].message.content) + * // No, it's going to be cold and rainy. + */ declare function createCompletion( - model: LLModel, - pt: PromptTemplate, - options: LLModelPromptContext&ExtendedOptions -) : string + llmodel: LLModel, + messages: PromptMessage[], + options?: CompletionOptions +): Promise; -function prompt( - strings: TemplateStringsArray -): PromptTemplate +/** + * The options for creating the completion. + */ +interface CompletionOptions extends Partial { + /** + * Indicates if verbose logging is enabled. + * @default true + */ + verbose?: boolean; + /** + * Indicates if the default header is included in the prompt. + * @default true + */ + hasDefaultHeader?: boolean; -export { LLModel, LLModelPromptContext, ModelType, download, DownloadController, prompt, ExtendedOptions, createCompletion } + /** + * Indicates if the default footer is included in the prompt. + * @default true + */ + hasDefaultFooter?: boolean; +} + +/** + * A message in the conversation, identical to OpenAI's chat message. + */ +interface PromptMessage { + /** The role of the message. */ + role: "system" | "assistant" | "user"; + + /** The message content. */ + content: string; +} + +/** + * The result of the completion, similar to OpenAI's format. + */ +interface CompletionReturn { + /** The model name. + * @type {ModelFile} + */ + model: ModelFile[ModelType]; + + /** Token usage report. */ + usage: { + /** The number of tokens used in the prompt. */ + prompt_tokens: number; + + /** The number of tokens used in the completion. */ + completion_tokens: number; + + /** The total number of tokens used. */ + total_tokens: number; + }; + + /** The generated completions. */ + choices: CompletionChoice[]; +} + +/** + * A completion choice, similar to OpenAI's format. + */ +interface CompletionChoice { + /** Response message */ + message: PromptMessage; +} + +/** + * Model inference arguments for generating completions. + */ +interface LLModelPromptContext { + /** The size of the raw logits vector. */ + logits_size: number; + + /** The size of the raw tokens vector. */ + tokens_size: number; + + /** The number of tokens in the past conversation. */ + n_past: number; + + /** The number of tokens possible in the context window. + * @default 1024 + */ + n_ctx: number; + + /** The number of tokens to predict. + * @default 128 + * */ + n_predict: number; + + /** The top-k logits to sample from. + * @default 40 + * */ + top_k: number; + + /** The nucleus sampling probability threshold. + * @default 0.9 + * */ + top_p: number; + + /** The temperature to adjust the model's output distribution. + * @default 0.72 + * */ + temp: number; + + /** The number of predictions to generate in parallel. + * @default 8 + * */ + n_batch: number; + + /** The penalty factor for repeated tokens. + * @default 1 + * */ + repeat_penalty: number; + + /** The number of last tokens to penalize. + * @default 10 + * */ + repeat_last_n: number; + + /** The percentage of context to erase if the context window is exceeded. + * @default 0.5 + * */ + context_erase: number; +} + +/** + * TODO: Help wanted to implement this + */ +declare function createTokenStream( + llmodel: LLModel, + messages: PromptMessage[], + options: CompletionOptions +): (ll: LLModel) => AsyncGenerator; +/** + * From python api: + * models will be stored in (homedir)/.cache/gpt4all/` + */ +declare const DEFAULT_DIRECTORY: string; +/** + * From python api: + * The default path for dynamic libraries to be stored. + * You may separate paths by a semicolon to search in multiple areas. + * This searches DEFAULT_DIRECTORY/libraries, cwd/libraries, and finally cwd. + */ +declare const DEFAULT_LIBRARIES_DIRECTORY: string; +interface PromptMessage { + role: "system" | "assistant" | "user"; + content: string; +} +export { + ModelType, + ModelFile, + LLModel, + LLModelPromptContext, + PromptMessage, + CompletionOptions, + LoadModelOptions, + loadModel, + createCompletion, + createTokenStream, + DEFAULT_DIRECTORY, + DEFAULT_LIBRARIES_DIRECTORY, +}; diff --git a/gpt4all-bindings/typescript/src/gpt4all.js b/gpt4all-bindings/typescript/src/gpt4all.js index a0e1c386..260c30b4 100644 --- a/gpt4all-bindings/typescript/src/gpt4all.js +++ b/gpt4all-bindings/typescript/src/gpt4all.js @@ -1,112 +1,138 @@ +"use strict"; + /// This file implements the gpt4all.d.ts file endings. /// Written in commonjs to support both ESM and CJS projects. +const { existsSync } = require("fs"); +const path = require("node:path"); +const { LLModel } = require("node-gyp-build")(path.resolve(__dirname, "..")); +const { + retrieveModel, + downloadModel, + appendBinSuffixIfMissing, +} = require("./util.js"); +const config = require("./config.js"); -const { LLModel } = require('bindings')('../build/Release/gpt4allts'); -const { createWriteStream, existsSync } = require('fs'); -const { join } = require('path'); -const { performance } = require('node:perf_hooks'); - - - -// readChunks() reads from the provided reader and yields the results into an async iterable -// https://css-tricks.com/web-streams-everywhere-and-fetch-for-node-js/ -function readChunks(reader) { - return { - async* [Symbol.asyncIterator]() { - let readResult = await reader.read(); - while (!readResult.done) { - yield readResult.value; - readResult = await reader.read(); - } - }, +async function loadModel(modelName, options = {}) { + const loadOptions = { + modelPath: config.DEFAULT_DIRECTORY, + librariesPath: config.DEFAULT_LIBRARIES_DIRECTORY, + allowDownload: true, + verbose: true, + ...options, }; + + await retrieveModel(modelName, { + modelPath: loadOptions.modelPath, + allowDownload: loadOptions.allowDownload, + verbose: loadOptions.verbose, + }); + + const libSearchPaths = loadOptions.librariesPath.split(";"); + + let libPath = null; + + for (const searchPath of libSearchPaths) { + if (existsSync(searchPath)) { + libPath = searchPath; + break; + } + } + + const llmOptions = { + model_name: appendBinSuffixIfMissing(modelName), + model_path: loadOptions.modelPath, + library_path: libPath, + }; + + if (loadOptions.verbose) { + console.log("Creating LLModel with options:", llmOptions); + } + const llmodel = new LLModel(llmOptions); + + return llmodel; } -exports.LLModel = LLModel; +function createPrompt(messages, hasDefaultHeader, hasDefaultFooter) { + let fullPrompt = ""; + for (const message of messages) { + if (message.role === "system") { + const systemMessage = message.content + "\n"; + fullPrompt += systemMessage; + } + } + if (hasDefaultHeader) { + fullPrompt += `### Instruction: + The prompt below is a question to answer, a task to complete, or a conversation + to respond to; decide which and write an appropriate response. + \n### Prompt: + `; + } + for (const message of messages) { + if (message.role === "user") { + const user_message = "\n" + message["content"]; + fullPrompt += user_message; + } + if (message["role"] == "assistant") { + const assistant_message = "\nResponse: " + message["content"]; + fullPrompt += assistant_message; + } + } + if (hasDefaultFooter) { + fullPrompt += "\n### Response:"; + } -exports.download = function ( - name, - options = { debug: false, location: process.cwd(), link: undefined } + return fullPrompt; +} + +async function createCompletion( + llmodel, + messages, + options = { + hasDefaultHeader: true, + hasDefaultFooter: false, + verbose: true, + } ) { - const abortController = new AbortController(); - const signal = abortController.signal; - - const pathToModel = join(options.location, name); - if(existsSync(pathToModel)) { - throw Error("Path to model already exists"); - } - - //wrapper function to get the readable stream from request - const fetcher = (name) => fetch(options.link ?? `https://gpt4all.io/models/${name}`, { - signal, - }) - .then(res => { - if(!res.ok) { - throw Error("Could not find "+ name + " from " + `https://gpt4all.io/models/` ) - } - return res.body.getReader() - }) - - //a promise that executes and writes to a stream. Resolves when done writing. - const res = new Promise((resolve, reject) => { - fetcher(name) - //Resolves an array of a reader and writestream. - .then(reader => [reader, createWriteStream(pathToModel)]) - .then( - async ([readable, wstream]) => { - console.log('(CLI might hang) Downloading @ ', pathToModel); - let perf; - if(options.debug) { - perf = performance.now(); - } - for await (const chunk of readChunks(readable)) { - wstream.write(chunk); - } - if(options.debug) { - console.log("Time taken: ", (performance.now()-perf).toFixed(2), " ms"); - } - resolve(); - } - ).catch(reject); - }); - - return { - cancel : () => abortController.abort(), - promise: () => res - } -} - - -//https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Template_literals#tagged_templates -exports.prompt = function prompt(strings, ...keys) { - return (...values) => { - const dict = values[values.length - 1] || {}; - const result = [strings[0]]; - keys.forEach((key, i) => { - const value = Number.isInteger(key) ? values[key] : dict[key]; - result.push(value, strings[i + 1]); - }); - return result.join(""); - }; -} - - - -exports.createCompletion = function (llmodel, promptMaker, options) { //creating the keys to insert into promptMaker. - const entries = { - system: options.system ?? '', - header: options.header ?? "### Instruction: The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.\n### Prompt: ", - prompt: options.prompt, - ...(options.promptEntries ?? {}) - }; - - const fullPrompt = promptMaker(entries)+'\n### Response:'; - - if(options.verbose) { - console.log("sending prompt: " + `"${fullPrompt}"`) + const fullPrompt = createPrompt( + messages, + options.hasDefaultHeader ?? true, + options.hasDefaultFooter + ); + if (options.verbose) { + console.log("Sent: " + fullPrompt); } - - return llmodel.raw_prompt(fullPrompt, options); + const promisifiedRawPrompt = new Promise((resolve, rej) => { + llmodel.raw_prompt(fullPrompt, options, (s) => { + resolve(s); + }); + }); + return promisifiedRawPrompt.then((response) => { + return { + llmodel: llmodel.name(), + usage: { + prompt_tokens: fullPrompt.length, + completion_tokens: response.length, //TODO + total_tokens: fullPrompt.length + response.length, //TODO + }, + choices: [ + { + message: { + role: "assistant", + content: response, + }, + }, + ], + }; + }); } + +module.exports = { + ...config, + LLModel, + createCompletion, + downloadModel, + retrieveModel, + loadModel, +}; diff --git a/gpt4all-bindings/typescript/src/util.d.ts b/gpt4all-bindings/typescript/src/util.d.ts new file mode 100644 index 00000000..3870c86f --- /dev/null +++ b/gpt4all-bindings/typescript/src/util.d.ts @@ -0,0 +1,69 @@ +/// +declare module "gpt4all"; + +/** + * Initiates the download of a model file of a specific model type. + * By default this downloads without waiting. use the controller returned to alter this behavior. + * @param {ModelFile} model - The model file to be downloaded. + * @param {DownloadOptions} options - to pass into the downloader. Default is { location: (cwd), debug: false }. + * @returns {DownloadController} object that allows controlling the download process. + * + * @throws {Error} If the model already exists in the specified location. + * @throws {Error} If the model cannot be found at the specified url. + * + * @example + * const controller = download('ggml-gpt4all-j-v1.3-groovy.bin') + * controller.promise().then(() => console.log('Downloaded!')) + */ +declare function downloadModel( + modelName: string, + options?: DownloadModelOptions +): DownloadController; + +/** + * Options for the model download process. + */ +export interface DownloadModelOptions { + /** + * location to download the model. + * Default is process.cwd(), or the current working directory + */ + modelPath?: string; + + /** + * Debug mode -- check how long it took to download in seconds + * @default false + */ + debug?: boolean; + + /** + * Remote download url. Defaults to `https://gpt4all.io/models` + * @default https://gpt4all.io/models + */ + url?: string; +} + +declare function listModels(): Promise[]>; + +interface RetrieveModelOptions { + allowDownload?: boolean; + verbose?: boolean; + modelPath?: string; +} + +declare async function retrieveModel( + model: string, + options?: RetrieveModelOptions +): Promise; + +/** + * Model download controller. + */ +interface DownloadController { + /** Cancel the request to download from gpt4all website if this is called. */ + cancel: () => void; + /** Convert the downloader into a promise, allowing people to await and manage its lifetime */ + promise: () => Promise; +} + +export { downloadModel, DownloadModelOptions, DownloadController, listModels, retrieveModel, RetrieveModelOptions }; diff --git a/gpt4all-bindings/typescript/src/util.js b/gpt4all-bindings/typescript/src/util.js new file mode 100644 index 00000000..a1ee1c6f --- /dev/null +++ b/gpt4all-bindings/typescript/src/util.js @@ -0,0 +1,156 @@ +const { createWriteStream, existsSync } = require("fs"); +const { performance } = require("node:perf_hooks"); +const path = require("node:path"); +const {mkdirp} = require("mkdirp"); +const { DEFAULT_DIRECTORY, DEFAULT_LIBRARIES_DIRECTORY } = require("./config.js"); + +async function listModels() { + const res = await fetch("https://gpt4all.io/models/models.json"); + const modelList = await res.json(); + return modelList; +} + +function appendBinSuffixIfMissing(name) { + if (!name.endsWith(".bin")) { + return name + ".bin"; + } + return name; +} + +// readChunks() reads from the provided reader and yields the results into an async iterable +// https://css-tricks.com/web-streams-everywhere-and-fetch-for-node-js/ +function readChunks(reader) { + return { + async *[Symbol.asyncIterator]() { + let readResult = await reader.read(); + while (!readResult.done) { + yield readResult.value; + readResult = await reader.read(); + } + }, + }; +} + +function downloadModel( + modelName, + options = {} +) { + const downloadOptions = { + modelPath: DEFAULT_DIRECTORY, + debug: false, + url: "https://gpt4all.io/models", + ...options, + }; + + const modelFileName = appendBinSuffixIfMissing(modelName); + const fullModelPath = path.join(downloadOptions.modelPath, modelFileName); + const modelUrl = `${downloadOptions.url}/${modelFileName}` + + if (existsSync(fullModelPath)) { + throw Error(`Model already exists at ${fullModelPath}`); + } + + const abortController = new AbortController(); + const signal = abortController.signal; + + //wrapper function to get the readable stream from request + // const baseUrl = options.url ?? "https://gpt4all.io/models"; + const fetchModel = () => + fetch(modelUrl, { + signal, + }).then((res) => { + if (!res.ok) { + throw Error(`Failed to download model from ${modelUrl} - ${res.statusText}`); + } + return res.body.getReader(); + }); + + //a promise that executes and writes to a stream. Resolves when done writing. + const res = new Promise((resolve, reject) => { + fetchModel() + //Resolves an array of a reader and writestream. + .then((reader) => [reader, createWriteStream(fullModelPath)]) + .then(async ([readable, wstream]) => { + console.log("Downloading @ ", fullModelPath); + let perf; + if (options.debug) { + perf = performance.now(); + } + for await (const chunk of readChunks(readable)) { + wstream.write(chunk); + } + if (options.debug) { + console.log( + "Time taken: ", + (performance.now() - perf).toFixed(2), + " ms" + ); + } + resolve(fullModelPath); + }) + .catch(reject); + }); + + return { + cancel: () => abortController.abort(), + promise: () => res, + }; +}; + +async function retrieveModel ( + modelName, + options = {} +) { + const retrieveOptions = { + modelPath: DEFAULT_DIRECTORY, + allowDownload: true, + verbose: true, + ...options, + }; + + await mkdirp(retrieveOptions.modelPath); + + const modelFileName = appendBinSuffixIfMissing(modelName); + const fullModelPath = path.join(retrieveOptions.modelPath, modelFileName); + const modelExists = existsSync(fullModelPath); + + if (modelExists) { + return fullModelPath; + } + + if (!retrieveOptions.allowDownload) { + throw Error(`Model does not exist at ${fullModelPath}`); + } + + const availableModels = await listModels(); + const foundModel = availableModels.find((model) => model.filename === modelFileName); + + if (!foundModel) { + throw Error(`Model "${modelName}" is not available.`); + } + + if (retrieveOptions.verbose) { + console.log(`Downloading ${modelName}...`); + } + + const downloadController = downloadModel(modelName, { + modelPath: retrieveOptions.modelPath, + debug: retrieveOptions.verbose, + }); + + const downloadPath = await downloadController.promise(); + + if (retrieveOptions.verbose) { + console.log(`Model downloaded to ${downloadPath}`); + } + + return downloadPath + +} + + +module.exports = { + appendBinSuffixIfMissing, + downloadModel, + retrieveModel, +}; \ No newline at end of file diff --git a/gpt4all-bindings/typescript/stdcapture.cc b/gpt4all-bindings/typescript/stdcapture.cc deleted file mode 100644 index 79fe59c1..00000000 --- a/gpt4all-bindings/typescript/stdcapture.cc +++ /dev/null @@ -1,14 +0,0 @@ - -#include "stdcapture.h" - -CoutRedirect::CoutRedirect() { - old = std::cout.rdbuf(buffer.rdbuf()); // redirect cout to buffer stream -} - -std::string CoutRedirect::getString() { - return buffer.str(); // get string -} - -CoutRedirect::~CoutRedirect() { - std::cout.rdbuf(old); // reverse redirect -} diff --git a/gpt4all-bindings/typescript/stdcapture.h b/gpt4all-bindings/typescript/stdcapture.h deleted file mode 100644 index 5823aeb2..00000000 --- a/gpt4all-bindings/typescript/stdcapture.h +++ /dev/null @@ -1,21 +0,0 @@ -//https://stackoverflow.com/questions/5419356/redirect-stdout-stderr-to-a-string -#ifndef COUTREDIRECT_H -#define COUTREDIRECT_H - -#include -#include -#include -#include - -class CoutRedirect { -public: - CoutRedirect(); - std::string getString(); - ~CoutRedirect(); - -private: - std::stringstream buffer; - std::streambuf* old; -}; - -#endif // COUTREDIRECT_H diff --git a/gpt4all-bindings/typescript/test/index.mjs b/gpt4all-bindings/typescript/test/index.mjs index c48772ea..6d075565 100644 --- a/gpt4all-bindings/typescript/test/index.mjs +++ b/gpt4all-bindings/typescript/test/index.mjs @@ -1,38 +1,5 @@ import * as assert from 'node:assert' -import { prompt, download } from '../src/gpt4all.js' - -{ - - const somePrompt = prompt`${"header"} Hello joe, my name is Ron. ${"prompt"}`; - assert.equal( - somePrompt({ header: 'oompa', prompt: 'holy moly' }), - 'oompa Hello joe, my name is Ron. holy moly' - ); - -} - -{ - - const indexedPrompt = prompt`${0}, ${1} ${0}`; - assert.equal( - indexedPrompt('hello', 'world'), - 'hello, world hello' - ); - - assert.notEqual( - indexedPrompt(['hello', 'world']), - 'hello, world hello' - ); - -} - -{ - assert.equal( - (prompt`${"header"} ${"prompt"}`)({ header: 'hello', prompt: 'poo' }), 'hello poo', - "Template prompt not equal" - ); - -} +import { download } from '../src/gpt4all.js' assert.rejects(async () => download('poo.bin').promise()); diff --git a/gpt4all-bindings/typescript/yarn.lock b/gpt4all-bindings/typescript/yarn.lock index fdb87b86..e7c4a365 100644 --- a/gpt4all-bindings/typescript/yarn.lock +++ b/gpt4all-bindings/typescript/yarn.lock @@ -2,24 +2,2303 @@ # yarn lockfile v1 +"@ampproject/remapping@^2.2.0": + version "2.2.1" + resolved "https://registry.yarnpkg.com/@ampproject/remapping/-/remapping-2.2.1.tgz#99e8e11851128b8702cd57c33684f1d0f260b630" + integrity sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg== + dependencies: + "@jridgewell/gen-mapping" "^0.3.0" + "@jridgewell/trace-mapping" "^0.3.9" + +"@babel/code-frame@^7.0.0", "@babel/code-frame@^7.21.4": + version "7.21.4" + resolved 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