From 622786b5529e23dc242b542c39f161d5ac3b09f0 Mon Sep 17 00:00:00 2001 From: WFH Brian Date: Wed, 11 Sep 2024 19:08:14 -0400 Subject: [PATCH] progress on smart-chat-model-v2 --- smart-chat-model-v2/README.md | 167 +- smart-chat-model-v2/adapters.js | 9 - smart-chat-model-v2/adapters/_adapter.js | 9 + smart-chat-model-v2/adapters/openai.js | 418 ++++ smart-chat-model-v2/index.js | 24 + smart-chat-model-v2/models.old.json | 113 - smart-chat-model-v2/package-lock.json | 2636 ++++++++++++++++++++++ smart-chat-model-v2/package.json | 7 +- smart-chat-model-v2/smart_chat_model.js | 575 +---- smart-chat-model-v2/web-build.js | 17 - smart-embed-model/package-lock.json | 11 +- smart-http-request/README.md | 8 + smart-http-request/adapters/_adapter.js | 16 + smart-http-request/adapters/fetch.js | 12 + smart-http-request/adapters/obsidian.js | 22 + smart-http-request/index.js | 24 + smart-http-request/package.json | 22 + smart-http-request/smart_http_request.js | 23 + 18 files changed, 3340 insertions(+), 773 deletions(-) delete mode 100644 smart-chat-model-v2/adapters.js create mode 100644 smart-chat-model-v2/adapters/_adapter.js create mode 100644 smart-chat-model-v2/adapters/openai.js create mode 100644 smart-chat-model-v2/index.js delete mode 100644 smart-chat-model-v2/models.old.json create mode 100644 smart-chat-model-v2/package-lock.json delete mode 100644 smart-chat-model-v2/web-build.js create mode 100644 smart-http-request/README.md create mode 100644 smart-http-request/adapters/_adapter.js create mode 100644 smart-http-request/adapters/fetch.js create mode 100644 smart-http-request/adapters/obsidian.js create mode 100644 smart-http-request/index.js create mode 100644 smart-http-request/package.json create mode 100644 smart-http-request/smart_http_request.js diff --git a/smart-chat-model-v2/README.md b/smart-chat-model-v2/README.md index e4076c54..85ef3844 100644 --- a/smart-chat-model-v2/README.md +++ b/smart-chat-model-v2/README.md @@ -1,166 +1 @@ -# Smart Chat Model -Used to integrate OpenAI GPT-4, Antrhopic Claude, Google Gemini & Cohere Command-r in [Smart Connections](https://github.com/brianpetro/obsidian-smart-connections). - -Try the [demo](https://brianpetro.github.io/jsbrains/sample-web) or browse the [demo code here](https://github.com/brianpetro/jsbrains/tree/main/assets/sample-web.html). - -[![Smart Chat Model Demo](https://brianpetro.github.io/jsbrains/sample-web.gif)](https://brianpetro.github.io/jsbrains/sample-web) - -## SmartChatModel Usage Guide -```bash -npm install smart-chat-model -``` - -`SmartChatModel` is a comprehensive class designed to facilitate interactions with chat models, supporting features like streaming responses, handling tool calls, and customizing requests through adapters. It's built to be adaptable for various chat model configurations and platforms. -The SmartChatModel class provides a flexible and powerful way to interact with chat models, supporting advanced features like streaming, tool calls, and request customization. By following this guide, you should be able to integrate and use SmartChatModel effectively in your projects. - -### Initialization -To initialize a SmartChatModel instance, you need to provide the main environment object, a model key to select the configuration from chat_models.json, and optional user-defined options to override the default model configuration. - -```js -const { SmartChatModel } = require('./chat.js'); - -const mainEnv = {}; // Your main environment object - -const modelKey = 'your_model_key'; // Key from chat_models.json - -const options = {}; // Optional overrides - -const chatModel = new SmartChatModel(mainEnv, modelKey, options); -``` - -### Making Requests -To make a request to the chat model, use the complete method. This method allows for customization of the request through options and can handle both streaming and non-streaming responses. - -```js -const requestOptions = { - -  messages: [{ role: "user", content: "Hello" }], - -  temperature: 0.3, - -  max_tokens: 100, - -  stream: false, // Set to true for streaming responses - -}; - -chatModel.complete(requestOptions) - -  .then(response => { - -    console.log("Response:", response); - -  }) - -  .catch(error => { - -    console.error("Error:", error); - -  }); -``` - - -### Streaming Responses -If the chat model supports streaming and it's enabled in the configuration, you can set stream: true in the request options to receive streaming responses. The SmartChatModel will handle the streaming logic internally, including starting and stopping the stream as needed. - -### Handling Tool Calls -The SmartChatModel can automatically detect and handle tool calls within responses. It uses the configured adapters to interpret the tool call data and executes the corresponding tool handler if a valid tool call is detected. - -### Customization with Adapters -Adapters allow for customization of request and response handling. If your use case requires specific handling logic, you can create a custom adapter and specify it in the model configuration. The SmartChatModel will use this adapter for preparing requests, parsing responses, and handling tool calls. - -### Counting Tokens -The count_tokens and estimate_tokens methods are available for estimating the number of tokens in a given input. This can be useful for managing request sizes and understanding the complexity of inputs. - -```js -const input = "Hello, world!"; - -chatModel.count_tokens(input) - -  .then(tokenCount => { - -    console.log("Token count:", tokenCount); - -  }); -``` - -### Testing API Key -The test_api_key method allows you to verify if the provided API key is valid by making a test request to the chat model. - -```js -chatModel.test_api_key() - -  .then(isValid => { - -    console.log("API key valid:", isValid); - -  }); -``` - - - - -## Adapter Pattern for Platform Compatibility -The `SmartChatModel` class is designed to be extensible and compatible with various chat platforms. This is achieved through the use of the adapter pattern, which abstracts platform-specific logic into separate adapter classes. Each adapter implements a consistent interface that `SmartChatModel` can interact with, regardless of the underlying platform differences. - -### Purpose -The adapter pattern allows for the easy integration of new platforms by encapsulating the API-specific logic within adapters. This ensures that the core logic of `SmartChatModel` remains clean and focused, while still being able to support a wide range of platforms. - -### Key Adapter Methods -Adapters must implement the following methods to be compatible with SmartChatModel: - -##### Converting options into the platform-specific request format -- `prepare_request_body(opts)`: - -##### Extracting the message content from the platform's response. -- `get_message(resp_json)` -- `get_message_content(resp_json)` - -##### Methods for extracting and handling tool call information from the response. -- `get_tool_call(resp_json)` -- `get_tool_name(tool_call)` -- `get_tool_call_content(tool_call)` - -##### Handling streaming responses. -- `get_text_chunk_from_stream(event)` -- `is_end_of_stream(event)`:  - -##### Providing token counting for input validation or estimation. -- `async count_tokens(input)`  -- `estimate_tokens(input)` - -### Implementing a New Adapter -To add support for a new platform, follow these steps: -##### Create Adapter Class -1. Create a new file in the adapters directory for the platform, e.g., `new_platform.js`.  -2. Define a class `NewPlatformAdapter` that implements the required methods. - -```js -class NewPlatformAdapter { - prepare_request_body(opts) { /* Implementation */ } - get_message_content(json) { /* Implementation */ } - // Implement other required methods... -} - -exports.NewPlatformAdapter = NewPlatformAdapter; -``` -##### Integrate Adapter -1. Add the new adapter to `adapters.js` which exports all of the adapters. -2. Ensure `SmartChatModel` initializes it based on the `config.adapter`. - -### Using Adapters in SmartChatModel -`SmartChatModel` interacts with adapters by checking for the implementation of specific methods and calling them. This allows for flexible handling of different platform behaviors without modifying the core logic. - -For example, to prepare the request body: - -```js -req.body = JSON.stringify(this.adapter?.prepare_request_body ? this.adapter.prepare_request_body(body) : body); -``` - -And to handle streaming responses: - -```js -let text_chunk = this.adapter?.get_text_chunk_from_stream ? this.adapter.get_text_chunk_from_stream(event) : defaultTextChunkHandling(event); -``` - -This pattern ensures that `SmartChatModel` remains adaptable and can easily extend support to new platforms by adding corresponding adapters. \ No newline at end of file +# Smart Chat Model \ No newline at end of file diff --git a/smart-chat-model-v2/adapters.js b/smart-chat-model-v2/adapters.js deleted file mode 100644 index bddb690a..00000000 --- a/smart-chat-model-v2/adapters.js +++ /dev/null @@ -1,9 +0,0 @@ -const { AnthropicAdapter } = require('./adapters/anthropic'); -const { CohereAdapter } = require('./adapters/cohere'); -const { GeminiAdapter } = require('./adapters/gemini'); -const { OpenRouterAdapter } = require('./adapters/open_router'); -exports.Anthropic = AnthropicAdapter; -exports.Cohere = CohereAdapter; -exports.Gemini = GeminiAdapter; -exports.OpenRouter = OpenRouterAdapter; - diff --git a/smart-chat-model-v2/adapters/_adapter.js b/smart-chat-model-v2/adapters/_adapter.js new file mode 100644 index 00000000..06066f98 --- /dev/null +++ b/smart-chat-model-v2/adapters/_adapter.js @@ -0,0 +1,9 @@ +export class SmartChatAdapter { + constructor(main) { + this.main = main; + } + async complete(req) { throw new Error("complete not implemented"); } + async stream(req) { throw new Error("stream not implemented"); } + async count_tokens(req) { throw new Error("count_tokens not implemented"); } + async fetch_models(refresh=false) { throw new Error("fetch_models not implemented"); } +} \ No newline at end of file diff --git a/smart-chat-model-v2/adapters/openai.js b/smart-chat-model-v2/adapters/openai.js new file mode 100644 index 00000000..ab7def3b --- /dev/null +++ b/smart-chat-model-v2/adapters/openai.js @@ -0,0 +1,418 @@ +import { SmartChatAdapter } from "./_adapter.js"; + +export class SmartChatOpenaiAdapter extends SmartChatAdapter { + static get platforms() { + return Object.keys(platforms).map(key => ({ + key, + ...platforms[key], + })); + } + get platform() { return platforms[this.platform_key]; } + get default_opts() { + return { + temperature: 0.3, + top_p: 1, + presence_penalty: 0, + frequency_penalty: 0, + n: 1, + model: this.model_name, + max_tokens: this.max_output_tokens, + }; + } + async request_middlewares(opts) { return opts; } + /** + * Completes the chat interaction by processing the provided options, making an API request, and handling the response. + * This method supports both streaming and non-streaming responses, and can handle tool calls if specified in the response. + * + * @param {Object} opts - The options for the chat completion which may include settings like temperature, max tokens, etc. + * @param {boolean} render - Flag to determine if the response should be rendered in the UI. + * @returns {Promise} - Returns the chat response content or handles tool outputs recursively. In case of errors, it may return an error message. + */ + async complete(opts = {}, render = true) { + const prepared_opts = await this.prepare_options(opts); + const request = this.create_request(prepared_opts); + + try { + if (prepared_opts.stream) { + return await this.handle_streaming_request(request, render); + } + return await this.handle_non_streaming_request(request, prepared_opts, render); + } catch (err) { + return this.handle_error(err, render); + } + } + + async prepare_options(opts) { + if (!this.base_model_config) { + this.base_model_config = await this.get_base_model_config(); + this.config = { + ...this.base_model_config, + ...this.config, + }; + } + + const prepared_opts = { + ...this.default_opts, + messages: (await this.current?.get_chat_ml())?.messages || [], + ...opts, + }; + + if (prepared_opts.stream !== false && this.config.streaming && !this.current?.tool_choice) { + prepared_opts.stream = true; + } else { + prepared_opts.stream = false; + } + + return this.request_middlewares(JSON.parse(JSON.stringify(prepared_opts))); + } + + create_request(opts) { + const req = { + headers: { + "Content-Type": "application/json", + Authorization: `Bearer ${this.api_key}` + }, + method: "POST", + }; + + if (this.config.headers) { + req.headers = { ...req.headers, ...this.config.headers }; + } + + if (this.config.api_key_header) { + if (this.config.api_key_header !== 'none') { + req.headers[this.config.api_key_header] = this.api_key; + } + delete req.headers.Authorization; + } + + const body = typeof this.env.actions?.prepare_request_body === 'function' + ? this.env.actions.prepare_request_body(opts) + : { ...opts }; + + req.body = JSON.stringify(typeof this.adapter?.prepare_request_body === 'function' + ? this.adapter.prepare_request_body(body) + : body); + + return req; + } + + async handle_streaming_request(request, render) { + return this.stream(request); + } + + async handle_non_streaming_request(request, opts, render) { + const resp_json = await this.request(request); + + if (resp_json.error) { + return this.handle_api_error(resp_json.error, render); + } + + // if is tool_call, handle tool_call and return + const tool_call = this.get_tool_call(resp_json); + if (tool_call) { + return this.handle_tool_call(tool_call, opts, render); + } + + const message_content = this.get_message_content(resp_json); + if (render) { + this.done_handler(message_content); + } + return message_content; + } + + handle_api_error(error, render) { + console.error(error); + if (render) { + this.done_handler("*API Error. See console logs for details.*"); + } + return "*API Error. See console logs for details.*"; + } + + async handle_tool_call(tool_call, opts, render) { + if (this.env.chats?.current?.tool_choice) { + this.env.chats.current.tool_choice = null; + } + + const tool_name = this.get_tool_name(tool_call); + const tool_call_content = this.get_tool_call_content(tool_call); + const tools = opts.tools || []; + const tool = tools.find((t) => t.function.name === tool_name); + const tool_handler = this.get_tool_handler(tool_name); + + if (!tool_handler || !is_valid_tool_call(tool, tool_call_content)) { + return this.handle_invalid_tool_call(tool_name, tool_call_content); + } + + await this.add_tool_call_to_chat(tool_name, tool_call_content); + const tool_output = await tool_handler(this.env, tool_call_content); + + if (tool_output) { + await this.current.add_tool_output(tool_name, tool_output); + this.current.tool_choice = 'none'; // prevent subsequent tool calls from preventing completion + return this.complete({}); // empty opts + } + } + + handle_invalid_tool_call(tool_name, tool_call_content) { + console.warn(`Tool ${tool_name} not found or invalid, returning tool_call_content`); + console.log({tool_call_content}); + return tool_call_content; + } + + async add_tool_call_to_chat(tool_name, tool_call_content) { + if (typeof this.current?.add_message === 'function') { + await this.current.add_message({ + role: 'assistant', + tool_calls: [{ + function: { + name: tool_name, + arguments: JSON.stringify(tool_call_content), + } + }] + }); + } + } + + handle_error(err, render) { + console.error(err); + if (render) { + this.done_handler("*An error occurred. See console logs for details.*"); + } + return "*An error occurred. See console logs for details.*"; + } + + // HANDLE TOOLS + /** + * Retrieves the tool handler function based on the tool name from the environment's actions. + * This method can be overridden to use custom logic for handling tools. + * + * @param {string} tool_name - The name of the tool for which the handler is to be retrieved. + * @returns {Function} The handler function for the specified tool. + */ + get_tool_handler(tool_name) { return this.env.actions?.actions?.[tool_name]?.handler; } + + /** + * Extracts the tool call information from a JSON response. This method supports adapter-specific logic. + * If no adapter method is provided, it defaults to the expected OpenAI JSON format. + * + * @param {Object} json - The JSON response from which to extract the tool call. + * @returns {Object} The first tool call found in the response. + */ + get_tool_call(json) { + if(typeof this.adapter?.get_tool_call === 'function') return this.adapter.get_tool_call(json); + return json.choices?.[0].message.tool_calls?.[0]; // OpenAI format + } + + /** + * Determines the tool name from a tool call object. Supports adapter-specific implementations. + * Defaults to extracting the name directly from the tool call structure. + * + * @param {Object} tool_call - The tool call object from which to extract the tool name. + * @returns {string} The name of the tool. + */ + get_tool_name(tool_call) { + if(typeof this.adapter?.get_tool_name === 'function') return this.adapter.get_tool_name(tool_call); + return tool_call.function.name; + } + + /** + * Extracts the tool call content from a tool call object. Supports adapter-specific logic. + * Defaults to parsing the 'arguments' field of the tool call function as JSON. + * + * @param {Object} tool_call - The tool call object from which to extract the content. + * @returns {Object} The parsed arguments of the tool call. + */ + get_tool_call_content(tool_call) { + if(typeof this.adapter?.get_tool_call_content === 'function') return this.adapter.get_tool_call_content(tool_call); + return JSON.parse(tool_call.function.arguments); + } + + // HANDLE MESSAGES + /** + * Retrieves the message object from a JSON response. Supports adapter-specific implementations. + * Defaults to handling both OpenAI and Ollama formats by checking for message structures in 'choices'. + * + * @param {Object} json - The JSON response from which to extract the message. + * @returns {Object} The message object extracted from the response. + */ + get_message(json) { + if(typeof this.adapter?.get_message === 'function') return this.adapter.get_message(json); + return json.choices?.[0].message || json.message; // supports OpenAI and Ollama + } + + /** + * Extracts the content of a message from a JSON response. Supports adapter-specific implementations. + * This method relies on `get_message` to first retrieve the message object. + * + * @param {Object} json - The JSON response from which to extract the message content. + * @returns {string} The content of the message. + */ + get_message_content(json) { + if(typeof this.adapter?.get_message_content === 'function') return this.adapter.get_message_content(json); + return this.get_message(json).content; + } + + async request(req){ + req.url = this.endpoint; + req.throw = false; + // handle fallback to fetch (allows for overwriting in child classes) + const resp = this._request_adapter ? await this._request_adapter(req) : await fetch(this.endpoint, req); + console.log(resp); + const resp_json = await this.get_resp_json(resp); + console.log(resp_json); + return resp_json; + } + async get_resp_json(resp) { return (typeof resp.json === 'function') ? await resp.json() : await resp.json; } + get request_adapter(){ return this._request_adapter; } + + async stream(req) { + console.log("Streaming Request: "); + console.log(req); + const full_text = await new Promise((resolve, reject) => { + try { + // console.log("stream", opts); + this.active_stream = new SmartStreamer(this.endpoint_streaming, req); + let curr_text = ""; + this.active_stream.addEventListener("message", (e) => { + if(this.is_end_of_stream(e)) { + this.stop_stream(); + return resolve(curr_text); + } + let text_chunk = this.get_text_chunk_from_stream(e); + if(!text_chunk) return; + curr_text += text_chunk; + this.chunk_handler(text_chunk); // call the chunk handler if it exists + }); + // unnecessary? + this.active_stream.addEventListener("readystatechange", (e) => { + if (e.readyState >= 2) console.log("ReadyState: " + e.readyState); + }); + this.active_stream.addEventListener("error", (e) => { + console.error(e); + this.done_handler("*API Error. See console logs for details.*"); + this.stop_stream(); + reject(e); + }); + this.active_stream.stream(); + } catch (err) { + console.error(err); + this.stop_stream(); + reject(err); + } + }); + this.done_handler(full_text); // handled in complete() + return full_text; + } + get_text_chunk_from_stream(event) { + if(typeof this.adapter?.get_text_chunk_from_stream === 'function') return this.adapter.get_text_chunk_from_stream(event); + let resp = null; + let text_chunk = ''; + // DO: is this try/catch still necessary? + try { + resp = JSON.parse(event.data); + text_chunk = resp.choices[0].delta.content; + } catch (err) { + console.log(err); + console.log(event.data); + if (event.data.indexOf('}{') > -1) event.data = event.data.replace(/}{/g, '},{'); + resp = JSON.parse(`[${event.data}]`); + resp.forEach((r) => { + if (r.choices) text_chunk += r.choices[0].delta.content; + }); + } + return text_chunk; + } + is_end_of_stream(event) { + if(typeof this.adapter?.is_end_of_stream === 'function') return this.adapter.is_end_of_stream(event); + return event.data === "[DONE]"; // use default OpenAI format + } + + stop_stream() { + if (this.active_stream) { + this.active_stream.end(); + this.active_stream = null; + } + } + done_handler(full_str) { + // Should handle: + // 1. Add message to current chat history + // 2. Update chat UI + if(typeof this.main.done_handler === 'function') this.main.done_handler(full_str); + } + chunk_handler(text_chunk) { + // Should handle: + // 1. Update chat UI + if(typeof this.main.chunk_handler === 'function') this.main.chunk_handler(text_chunk); + } + async count_tokens(input) { + if(typeof this.adapter?.count_tokens === 'function') return await this.adapter.count_tokens(input); + return this.estimate_tokens(input); + } + estimate_tokens(input) { + if(typeof this.adapter?.estimate_tokens === 'function') return this.adapter.estimate_tokens(input); + if(typeof input === 'object') input = JSON.stringify(input); + return input.length / 4; + } + async test_api_key() { + console.log(this.api_key); + try{ + const request = { + messages: [ + { role: "user", content: "Hello" }, + ], + temperature: 0, + max_tokens: 100, + stream: false, + n: 1, + }; + if(this.config.fetch_models) { + request.model = this.config.default_model; + } + const resp = await this.complete(request, false); + console.log(resp); + if(!resp) return false; + return true; + }catch(err){ + console.error(err); + return false; + } + } + async get_models() { + if(!this.api_key){ + console.warn(`No API key found for ${this.platform_key}. Cannot retrieve models.`); + return []; + } + // const fx_name = this.plugin.settings.chat_model_platform_key; + if(this.platforms[this.platform_key]?.fetch_models && typeof fetch_models[this.platform_key] === "function"){ + const models = await fetch_models[this.platform_key](this.api_key, this._request_adapter); + if(models) { + // sort alphabetically by model name + models.sort((a, b) => a.model_name.localeCompare(b.model_name)); + return models; + }else console.error(`No models found for ${this.platform_key}`, models); + } + return []; + } + async get_base_model_config() { + const models = await this.get_models(); + return models.find((m) => m.key === this.model_name); + } + // getters + get api_key() { return this.config.api_key; } + get current() { return this.env.chats?.current; } + // use endpoint of combine protocol, hostname, port, and path + get endpoint() { + if(typeof this.adapter?.endpoint !== 'undefined') return this.adapter.endpoint.replace('MODEL_NAME', this.model_name); + return this.config.endpoint || this.config.protocol + "://" + this.config.hostname + (this.config.port ? ":" + this.config.port : "") + this.endpoint_path; + } + get endpoint_streaming() { + if(typeof this.adapter?.endpoint_streaming !== 'undefined') return this.adapter.endpoint_streaming.replace('MODEL_NAME', this.model_name); + return this.config.endpoint_streaming || this.endpoint; + } + get endpoint_path() { return this.config.path.startsWith('/') ? this.config.path : '/' + this.config.path; } + get max_input_tokens() { return this.config.max_input_tokens; } + get max_output_tokens() { return this.config.max_output_tokens; } + get model_name() { return this.config.model_name || this.config.default_model; } + get multimodal() { return typeof this.adapter?.multimodal !== 'undefined' ? this.adapter.multimodal : this.config.multimodal; } +} \ No newline at end of file diff --git a/smart-chat-model-v2/index.js b/smart-chat-model-v2/index.js new file mode 100644 index 00000000..f559a87d --- /dev/null +++ b/smart-chat-model-v2/index.js @@ -0,0 +1,24 @@ +// Copyright (c) Brian Joseph Petro + +// Permission is hereby granted, free of charge, to any person obtaining +// a copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to +// permit persons to whom the Software is furnished to do so, subject to +// the following conditions: + +// The above copyright notice and this permission notice shall be +// included in all copies or substantial portions of the Software. + +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +// LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +import { SmartChatModel } from "./smart_chat_model.js"; + +export { SmartChatModel }; diff --git a/smart-chat-model-v2/models.old.json b/smart-chat-model-v2/models.old.json deleted file mode 100644 index c8a1ca1b..00000000 --- a/smart-chat-model-v2/models.old.json +++ /dev/null @@ -1,113 +0,0 @@ -{ - "anthropic-claude-3-opus": { - "model_name": "claude-3-opus-20240229", - "description": "Anthropic's Claude model", - "max_input_tokens": 200000, - "max_output_tokens": 4000, - "type": "API", - "endpoint": "https://api.anthropic.com/v1/messages", - "streaming": false, - "api_key_header": "x-api-key", - "headers": { - "anthropic-version": "2023-06-01", - "anthropic-beta": "tools-2024-04-04" - }, - "adapter": "Anthropic", - "actions": true - }, - "anthropic-claude-3-sonnet": { - "model_name": "claude-3-sonnet-20240229", - "description": "Anthropic's Sonnet model", - "max_input_tokens": 200000, - "max_output_tokens": 4000, - "type": "API", - "endpoint": "https://api.anthropic.com/v1/messages", - "streaming": false, - "api_key_header": "x-api-key", - "headers": { - "anthropic-version": "2023-06-01", - "anthropic-beta": "tools-2024-04-04" - }, - "adapter": "Anthropic", - "actions": true - }, - "anthropic-claude-3-haiku": { - "model_name": "claude-3-haiku-20240307", - "description": "Anthropic's Haiku model", - "max_input_tokens": 200000, - "max_output_tokens": 4000, - "type": "API", - "endpoint": "https://api.anthropic.com/v1/messages", - "streaming": false, - "api_key_header": "x-api-key", - "headers": { - "anthropic-version": "2023-06-01", - "anthropic-beta": "tools-2024-04-04" - }, - "adapter": "Anthropic", - "actions": true - }, - "cohere-command-r": { - "model_name": "command-r", - "description": "Cohere's Command-R model", - "max_input_tokens": 128000, - "max_output_tokens": 4000, - "type": "API", - "endpoint": "https://api.cohere.ai/v1/chat", - "streaming": false, - "adapter": "Cohere" - }, - "cohere-command-r-plus": { - "model_name": "command-r-plus", - "description": "Cohere's Command-R+ model", - "max_input_tokens": 128000, - "max_output_tokens": 4000, - "type": "API", - "endpoint": "https://api.cohere.ai/v1/chat", - "streaming": false, - "adapter": "Cohere" - }, - "google-gemini-1.0-pro": { - "model_name": "gemini-1.0-pro", - "description": "Google's Gemini 1.0 Pro model", - "max_input_tokens": 30000, - "api_key_header": "none", - "type": "API", - "endpoint": "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.0-pro:generateContent", - "endpoint_streaming": "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.0-pro:streamGenerateContent", - "streaming": true, - "adapter": "Gemini", - "actions": true - }, - "google-gemini-1.5-pro-latest": { - "model_name": "gemini-1.5-pro-latest", - "description": "Google's Gemini 1.5 Pro model", - "max_input_tokens": 1000000, - "api_key_header": "none", - "type": "API", - "endpoint": "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-pro-latest:generateContent", - "endpoint_streaming": "https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-pro-latest:streamGenerateContent", - "streaming": true, - "adapter": "Gemini", - "actions": true - }, - "openai-gpt-3.5-turbo": { - "model_name": "gpt-3.5-turbo", - "description": "OpenAI's GPT-3.5 model", - "max_input_tokens": 12288, - "max_output_tokens": 4096, - "type": "API", - "endpoint": "https://api.openai.com/v1/chat/completions", - "streaming": true, - "actions": true - }, - "openai-gpt-4-turbo": { - "model_name": "gpt-4-turbo-preview", - "description": "OpenAI's GPT-4 model", - "max_input_tokens": 123900, - "type": "API", - "endpoint": "https://api.openai.com/v1/chat/completions", - "streaming": true, - "actions": true - } -} \ No newline at end of file diff --git a/smart-chat-model-v2/package-lock.json b/smart-chat-model-v2/package-lock.json new file mode 100644 index 00000000..a8f535de --- /dev/null +++ b/smart-chat-model-v2/package-lock.json @@ -0,0 +1,2636 @@ +{ + "name": "smart-chat-model", + "version": "1.0.5", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "smart-chat-model", + "version": "1.0.5", + "license": "MIT", + "dependencies": { + "smart-http-request": "../smart-http-request", + "smart-model": "../smart-model" + }, + "devDependencies": { + "ava": "^6.1.2", + "esbuild": "^0.20.2" + } + }, + "../smart-http-request": { + "version": "1.0.0", + "license": "MIT" + }, + "../smart-model": { + "version": "1.0.0", + "license": "MIT" + }, + "node_modules/@esbuild/aix-ppc64": { + "version": "0.20.2", + "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.20.2.tgz", + "integrity": 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Brian)", + "type": "module", "license": "MIT", "version": "1.0.5", "description": "no-nonsense adapter for Anthropic Claude, Google Gemini, Cohere & more with OpenAI style API interface.", - "main": "smart_chat_model.js", + "main": "index.js", "scripts": { "test": "npx ava" }, @@ -23,6 +24,10 @@ "url": "https://github.com/brianpetro/jsbrains/issues" }, "homepage": "https://jsbrains.org", + "dependencies": { + "smart-http-request": "../smart-http-request", + "smart-model": "../smart-model" + }, "devDependencies": { "ava": "^6.1.2", "esbuild": "^0.20.2" diff --git a/smart-chat-model-v2/smart_chat_model.js b/smart-chat-model-v2/smart_chat_model.js index a8fb89e8..ab782c0d 100644 --- a/smart-chat-model-v2/smart_chat_model.js +++ b/smart-chat-model-v2/smart_chat_model.js @@ -1,471 +1,114 @@ -// Copyright (c) Brian Joseph Petro - -// Permission is hereby granted, free of charge, to any person obtaining -// a copy of this software and associated documentation files (the -// "Software"), to deal in the Software without restriction, including -// without limitation the rights to use, copy, modify, merge, publish, -// distribute, sublicense, and/or sell copies of the Software, and to -// permit persons to whom the Software is furnished to do so, subject to -// the following conditions: - -// The above copyright notice and this permission notice shall be -// included in all copies or substantial portions of the Software. - -// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, -// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF -// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND -// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE -// LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION -// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION -// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. - -const adapters = require('./adapters'); -const platforms = require('./platforms.json'); -const { is_valid_tool_call } = require('./utils/is_valid_tool_call'); -const { SmartStreamer } = require('./streamer'); -const fetch_models = require("./models/fetch"); -/** - * SmartChatModel class provides functionalities to handle chat interactions with various models and adapters. - * It supports streaming and non-streaming responses, tool calls, and customizations through options. - */ -class SmartChatModel { - /** - * Constructs an instance of SmartChatModel with specified environment, model key, and options. - * @param {Object} main - The main environment context, typically containing configurations and state. - * @param {string} platform_key - Key to select the specific model configuration from models.json. - * @param {Object} model_config - Optional parameters to override model configurations. - */ - constructor(main, platform_key, model_config={}) { - this.env = main; - this.main = this.env; // DEPRECATED - this.config = { - ...(platforms[platform_key] || {}), - ...model_config, // override default platform config - } - console.log(JSON.stringify(this.config)); - this.platform_key = platform_key; - this.active_stream = null; - this._request_adapter = null; - this.platforms = platforms; - if(this.config.adapter) this.adapter = new adapters[this.config.adapter](this); - if(this.adapter) console.log("has chat model adapter"); - } - static get models() { return platforms; } // DEPRECATED (confusing name) - // - static get platforms() { - return Object.keys(platforms).map(key => ({ - key, - ...platforms[key], - })); - } +import { SmartHttpRequest } from "smart-http-request"; +import platforms from "./platforms.json" assert { type: "json" }; +import { SmartModel } from "smart-model"; +export class SmartChatModel extends SmartModel { + constructor(opts){ + super(opts); + this._adapters = {}; + this._http_adapter = null; + } + async complete(req){ return await this.adapter.complete(req); } + async stream(req, handlers={}){ return await this.adapter.stream(req, handlers); } + get adapters() { return this.opts.adapters; } + get adapter() { + if(!this._adapters[this.platform_key]){ + this._adapters[this.platform_key] = new this.adapters[this.platform_key](this); + } + return this._adapters[this.platform_key]; + } + get http_adapter() { + if(!this._http_adapter){ + if(this.opts.http_adapter) this._http_adapter = this.opts.http_adapter; + else this._http_adapter = new SmartHttpRequest(); + } + return this._http_adapter; + } + get model_key() { return this.platform_settings?.model_key; } get platform() { return platforms[this.platform_key]; } - get default_opts() { - return { - temperature: 0.3, - top_p: 1, - presence_penalty: 0, - frequency_penalty: 0, - n: 1, - model: this.model_name, - max_tokens: this.max_output_tokens, - }; - } - async request_middlewares(opts) { return opts; } - /** - * Completes the chat interaction by processing the provided options, making an API request, and handling the response. - * This method supports both streaming and non-streaming responses, and can handle tool calls if specified in the response. - * - * @param {Object} opts - The options for the chat completion which may include settings like temperature, max tokens, etc. - * @param {boolean} render - Flag to determine if the response should be rendered in the UI. - * @returns {Promise} - Returns the chat response content or handles tool outputs recursively. In case of errors, it may return an error message. - */ - async complete(opts = {}, render = true) { - const prepared_opts = await this.prepare_options(opts); - const request = this.create_request(prepared_opts); - - try { - if (prepared_opts.stream) { - return await this.handle_streaming_request(request, render); - } - return await this.handle_non_streaming_request(request, prepared_opts, render); - } catch (err) { - return this.handle_error(err, render); - } - } - - async prepare_options(opts) { - if (!this.base_model_config) { - this.base_model_config = await this.get_base_model_config(); - this.config = { - ...this.base_model_config, - ...this.config, - }; - } - - const prepared_opts = { - ...this.default_opts, - messages: (await this.current?.get_chat_ml())?.messages || [], - ...opts, - }; - - if (prepared_opts.stream !== false && this.config.streaming && !this.current?.tool_choice) { - prepared_opts.stream = true; - } else { - prepared_opts.stream = false; - } - - return this.request_middlewares(JSON.parse(JSON.stringify(prepared_opts))); - } - - create_request(opts) { - const req = { - headers: { - "Content-Type": "application/json", - Authorization: `Bearer ${this.api_key}` - }, - method: "POST", - }; - - if (this.config.headers) { - req.headers = { ...req.headers, ...this.config.headers }; - } - - if (this.config.api_key_header) { - if (this.config.api_key_header !== 'none') { - req.headers[this.config.api_key_header] = this.api_key; - } - delete req.headers.Authorization; - } - - const body = typeof this.env.actions?.prepare_request_body === 'function' - ? this.env.actions.prepare_request_body(opts) - : { ...opts }; - - req.body = JSON.stringify(typeof this.adapter?.prepare_request_body === 'function' - ? this.adapter.prepare_request_body(body) - : body); - - return req; - } - - async handle_streaming_request(request, render) { - return this.stream(request); - } - - async handle_non_streaming_request(request, opts, render) { - const resp_json = await this.request(request); - - if (resp_json.error) { - return this.handle_api_error(resp_json.error, render); - } - - // if is tool_call, handle tool_call and return - const tool_call = this.get_tool_call(resp_json); - if (tool_call) { - return this.handle_tool_call(tool_call, opts, render); - } - - const message_content = this.get_message_content(resp_json); - if (render) { - this.done_handler(message_content); - } - return message_content; - } - - handle_api_error(error, render) { - console.error(error); - if (render) { - this.done_handler("*API Error. See console logs for details.*"); - } - return "*API Error. See console logs for details.*"; - } - - async handle_tool_call(tool_call, opts, render) { - if (this.env.chats?.current?.tool_choice) { - this.env.chats.current.tool_choice = null; - } - - const tool_name = this.get_tool_name(tool_call); - const tool_call_content = this.get_tool_call_content(tool_call); - const tools = opts.tools || []; - const tool = tools.find((t) => t.function.name === tool_name); - const tool_handler = this.get_tool_handler(tool_name); - - if (!tool_handler || !is_valid_tool_call(tool, tool_call_content)) { - return this.handle_invalid_tool_call(tool_name, tool_call_content); - } - - await this.add_tool_call_to_chat(tool_name, tool_call_content); - const tool_output = await tool_handler(this.env, tool_call_content); - - if (tool_output) { - await this.current.add_tool_output(tool_name, tool_output); - this.current.tool_choice = 'none'; // prevent subsequent tool calls from preventing completion - return this.complete({}); // empty opts - } - } - - handle_invalid_tool_call(tool_name, tool_call_content) { - console.warn(`Tool ${tool_name} not found or invalid, returning tool_call_content`); - console.log({tool_call_content}); - return tool_call_content; - } - - async add_tool_call_to_chat(tool_name, tool_call_content) { - if (typeof this.current?.add_message === 'function') { - await this.current.add_message({ - role: 'assistant', - tool_calls: [{ - function: { - name: tool_name, - arguments: JSON.stringify(tool_call_content), - } - }] - }); + get platform_key() { return this.settings.platform_key; } + get platform_settings() { return this.settings[this.platform_key]; } + get settings() { return this.opts.settings; } + get settings_config() { + const _settings_config = { + ...settings_config, + ...(this.adapter.settings_config || {}), } + return this.process_settings_config(_settings_config); } - - handle_error(err, render) { - console.error(err); - if (render) { - this.done_handler("*An error occurred. See console logs for details.*"); - } - return "*An error occurred. See console logs for details.*"; - } - - // HANDLE TOOLS - /** - * Retrieves the tool handler function based on the tool name from the environment's actions. - * This method can be overridden to use custom logic for handling tools. - * - * @param {string} tool_name - The name of the tool for which the handler is to be retrieved. - * @returns {Function} The handler function for the specified tool. - */ - get_tool_handler(tool_name) { return this.env.actions?.actions?.[tool_name]?.handler; } - - /** - * Extracts the tool call information from a JSON response. This method supports adapter-specific logic. - * If no adapter method is provided, it defaults to the expected OpenAI JSON format. - * - * @param {Object} json - The JSON response from which to extract the tool call. - * @returns {Object} The first tool call found in the response. - */ - get_tool_call(json) { - if(typeof this.adapter?.get_tool_call === 'function') return this.adapter.get_tool_call(json); - return json.choices?.[0].message.tool_calls?.[0]; // OpenAI format - } - - /** - * Determines the tool name from a tool call object. Supports adapter-specific implementations. - * Defaults to extracting the name directly from the tool call structure. - * - * @param {Object} tool_call - The tool call object from which to extract the tool name. - * @returns {string} The name of the tool. - */ - get_tool_name(tool_call) { - if(typeof this.adapter?.get_tool_name === 'function') return this.adapter.get_tool_name(tool_call); - return tool_call.function.name; - } - - /** - * Extracts the tool call content from a tool call object. Supports adapter-specific logic. - * Defaults to parsing the 'arguments' field of the tool call function as JSON. - * - * @param {Object} tool_call - The tool call object from which to extract the content. - * @returns {Object} The parsed arguments of the tool call. - */ - get_tool_call_content(tool_call) { - if(typeof this.adapter?.get_tool_call_content === 'function') return this.adapter.get_tool_call_content(tool_call); - return JSON.parse(tool_call.function.arguments); - } - - // HANDLE MESSAGES - /** - * Retrieves the message object from a JSON response. Supports adapter-specific implementations. - * Defaults to handling both OpenAI and Ollama formats by checking for message structures in 'choices'. - * - * @param {Object} json - The JSON response from which to extract the message. - * @returns {Object} The message object extracted from the response. - */ - get_message(json) { - if(typeof this.adapter?.get_message === 'function') return this.adapter.get_message(json); - return json.choices?.[0].message || json.message; // supports OpenAI and Ollama - } - - /** - * Extracts the content of a message from a JSON response. Supports adapter-specific implementations. - * This method relies on `get_message` to first retrieve the message object. - * - * @param {Object} json - The JSON response from which to extract the message content. - * @returns {string} The content of the message. - */ - get_message_content(json) { - if(typeof this.adapter?.get_message_content === 'function') return this.adapter.get_message_content(json); - return this.get_message(json).content; - } - - async request(req){ - req.url = this.endpoint; - req.throw = false; - // handle fallback to fetch (allows for overwriting in child classes) - const resp = this._request_adapter ? await this._request_adapter(req) : await fetch(this.endpoint, req); - console.log(resp); - const resp_json = await this.get_resp_json(resp); - console.log(resp_json); - return resp_json; - } - async get_resp_json(resp) { return (typeof resp.json === 'function') ? await resp.json() : await resp.json; } - get request_adapter(){ return this._request_adapter; } - - async stream(req) { - console.log("Streaming Request: "); - console.log(req); - const full_text = await new Promise((resolve, reject) => { - try { - // console.log("stream", opts); - this.active_stream = new SmartStreamer(this.endpoint_streaming, req); - let curr_text = ""; - this.active_stream.addEventListener("message", (e) => { - if(this.is_end_of_stream(e)) { - this.stop_stream(); - return resolve(curr_text); - } - let text_chunk = this.get_text_chunk_from_stream(e); - if(!text_chunk) return; - curr_text += text_chunk; - this.chunk_handler(text_chunk); // call the chunk handler if it exists - }); - // unnecessary? - this.active_stream.addEventListener("readystatechange", (e) => { - if (e.readyState >= 2) console.log("ReadyState: " + e.readyState); - }); - this.active_stream.addEventListener("error", (e) => { - console.error(e); - this.done_handler("*API Error. See console logs for details.*"); - this.stop_stream(); - reject(e); - }); - this.active_stream.stream(); - } catch (err) { - console.error(err); - this.stop_stream(); - reject(err); - } - }); - this.done_handler(full_text); // handled in complete() - return full_text; - } - get_text_chunk_from_stream(event) { - if(typeof this.adapter?.get_text_chunk_from_stream === 'function') return this.adapter.get_text_chunk_from_stream(event); - let resp = null; - let text_chunk = ''; - // DO: is this try/catch still necessary? - try { - resp = JSON.parse(event.data); - text_chunk = resp.choices[0].delta.content; - } catch (err) { - console.log(err); - console.log(event.data); - if (event.data.indexOf('}{') > -1) event.data = event.data.replace(/}{/g, '},{'); - resp = JSON.parse(`[${event.data}]`); - resp.forEach((r) => { - if (r.choices) text_chunk += r.choices[0].delta.content; - }); - } - return text_chunk; - } - is_end_of_stream(event) { - if(typeof this.adapter?.is_end_of_stream === 'function') return this.adapter.is_end_of_stream(event); - return event.data === "[DONE]"; // use default OpenAI format - } - - stop_stream() { - if (this.active_stream) { - this.active_stream.end(); - this.active_stream = null; - } - } - done_handler(full_str) { - // Should handle: - // 1. Add message to current chat history - // 2. Update chat UI - if(typeof this.main.done_handler === 'function') this.main.done_handler(full_str); - } - chunk_handler(text_chunk) { - // Should handle: - // 1. Update chat UI - if(typeof this.main.chunk_handler === 'function') this.main.chunk_handler(text_chunk); - } - async count_tokens(input) { - if(typeof this.adapter?.count_tokens === 'function') return await this.adapter.count_tokens(input); - return this.estimate_tokens(input); - } - estimate_tokens(input) { - if(typeof this.adapter?.estimate_tokens === 'function') return this.adapter.estimate_tokens(input); - if(typeof input === 'object') input = JSON.stringify(input); - return input.length / 4; - } - async test_api_key() { - console.log(this.api_key); - try{ - const request = { - messages: [ - { role: "user", content: "Hello" }, - ], - temperature: 0, - max_tokens: 100, - stream: false, - n: 1, - }; - if(this.config.fetch_models) { - request.model = this.config.default_model; - } - const resp = await this.complete(request, false); - console.log(resp); - if(!resp) return false; - return true; - }catch(err){ - console.error(err); - return false; - } - } - async get_models() { - if(!this.api_key){ - console.warn(`No API key found for ${this.platform_key}. Cannot retrieve models.`); - return []; - } - // const fx_name = this.plugin.settings.chat_model_platform_key; - if(this.platforms[this.platform_key]?.fetch_models && typeof fetch_models[this.platform_key] === "function"){ - const models = await fetch_models[this.platform_key](this.api_key, this._request_adapter); - if(models) { - // sort alphabetically by model name - models.sort((a, b) => a.model_name.localeCompare(b.model_name)); - return models; - }else console.error(`No models found for ${this.platform_key}`, models); - } - return []; - } - async get_base_model_config() { - const models = await this.get_models(); - return models.find((m) => m.key === this.model_name); - } - // getters - get api_key() { return this.config.api_key; } - get current() { return this.env.chats?.current; } - // use endpoint of combine protocol, hostname, port, and path - get endpoint() { - if(typeof this.adapter?.endpoint !== 'undefined') return this.adapter.endpoint.replace('MODEL_NAME', this.model_name); - return this.config.endpoint || this.config.protocol + "://" + this.config.hostname + (this.config.port ? ":" + this.config.port : "") + this.endpoint_path; - } - get endpoint_streaming() { - if(typeof this.adapter?.endpoint_streaming !== 'undefined') return this.adapter.endpoint_streaming.replace('MODEL_NAME', this.model_name); - return this.config.endpoint_streaming || this.endpoint; + process_setting_key(key) { + return key.replace(/\[CHAT_PLATFORM\]/g, this.platform_key); } - get endpoint_path() { return this.config.path.startsWith('/') ? this.config.path : '/' + this.config.path; } - get max_input_tokens() { return this.config.max_input_tokens; } - get max_output_tokens() { return this.config.max_output_tokens; } - get model_name() { return this.config.model_name || this.config.default_model; } - get multimodal() { return typeof this.adapter?.multimodal !== 'undefined' ? this.adapter.multimodal : this.config.multimodal; } } -exports.SmartChatModel = SmartChatModel; - +const local_platforms = ['custom_local', 'ollama', 'lm_studio']; +export const settings_config = { + platform_key: { + name: 'Chat Model Platform', + type: "dropdown", + description: "Select a chat model platform to use with Smart Chat.", + options_callback: 'get_platforms', + callback: 'changed_chat_model_platform', + }, + "[CHAT_PLATFORM].model_key": { + name: 'Chat Model', + type: "dropdown", + description: "Select a chat model to use with Smart Chat.", + options_callback: 'get_models', + callback: 'changed_chat_model', + conditional: (settings) => !local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].model_key": { + name: 'Model Name', + type: "text", + description: "Enter the model name for the chat model platform.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].api_key": { + name: 'API Key', + type: "password", + description: "Enter your API key for the chat model platform.", + callback: 'test_api_key', + }, + "[CHAT_PLATFORM].protocol": { + name: 'Protocol', + type: "text", + description: "Enter the protocol for the local chat model.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].hostname": { + name: 'Hostname', + type: "text", + description: "Enter the hostname for the local chat model.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].port": { + name: 'Port', + type: "number", + description: "Enter the port for the local chat model.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].path": { + name: 'Path', + type: "text", + description: "Enter the path for the local chat model.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].streaming": { + name: 'Streaming', + type: "toggle", + description: "Enable streaming for the local chat model.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, + "[CHAT_PLATFORM].max_input_tokens": { + name: 'Max Input Tokens', + type: "number", + description: "Enter the maximum number of input tokens for the chat model.", + callback: 'changed_chat_model', + conditional: (settings) => local_platforms.includes(settings.platform_key), + }, +} \ No newline at end of file diff --git a/smart-chat-model-v2/web-build.js b/smart-chat-model-v2/web-build.js deleted file mode 100644 index 71ba23f6..00000000 --- a/smart-chat-model-v2/web-build.js +++ /dev/null @@ -1,17 +0,0 @@ -const esbuild = require('esbuild'); - -esbuild.build({ - entryPoints: ['smart-chat-model/smart_chat_model.js'], - bundle: true, - platform: 'browser', - target: ['es2020'], - outfile: 'dist/smart_chat_model_web.js', - define: { - 'process.env.NODE_ENV': '"production"', - global: 'window' - }, - // Expose SmartChatModel globally - globalName: 'smart_chat_model', - format: 'iife', // Wrap in an immediately-invoked function expression -}).catch(() => process.exit(1)); - diff --git a/smart-embed-model/package-lock.json b/smart-embed-model/package-lock.json index 2c2ffd36..2c3365b4 100644 --- a/smart-embed-model/package-lock.json +++ b/smart-embed-model/package-lock.json @@ -9,7 +9,8 @@ "version": "1.0.7", "license": "MIT", "dependencies": { - "js-tiktoken": "^1.0.11" + "js-tiktoken": "^1.0.11", + "smart-model": "../smart-model" }, "devDependencies": { "ava": "^6.0.1", @@ -18,6 +19,10 @@ "jsdom": "^24.1.0" } }, + "../smart-model": { + "version": "1.0.0", + "license": "MIT" + }, "node_modules/@esbuild/aix-ppc64": { "version": "0.23.1", "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.23.1.tgz", @@ -2592,6 +2597,10 @@ "url": "https://github.com/chalk/slice-ansi?sponsor=1" } }, + "node_modules/smart-model": { + "resolved": "../smart-model", + "link": true + }, "node_modules/sprintf-js": { "version": "1.0.3", "resolved": "https://registry.npmjs.org/sprintf-js/-/sprintf-js-1.0.3.tgz", diff --git a/smart-http-request/README.md b/smart-http-request/README.md new file mode 100644 index 00000000..bf0a21f8 --- /dev/null +++ b/smart-http-request/README.md @@ -0,0 +1,8 @@ +# Smart HTTP Request + +## WHY +- Smart Environments have access to a variety of utilities for making HTTP requests. + - Allows for a single architecture to map to the available utility. +## WDLL (specs) +- normalized requests for using a variety of HTTP adapters (node-fetch, obsidian, etc) +- returns a normalized response object using the `SmartHttpResponse` class \ No newline at end of file diff --git a/smart-http-request/adapters/_adapter.js b/smart-http-request/adapters/_adapter.js new file mode 100644 index 00000000..ac66c17e --- /dev/null +++ b/smart-http-request/adapters/_adapter.js @@ -0,0 +1,16 @@ +export class SmartHttpRequestAdapter { + constructor(main) { + this.main = main; + } + async request(url, opts={}) { throw new Error("request not implemented"); } +} + +export class SmartHttpResponseAdapter { + constructor(response) { + this.response = response; + } + async headers() { throw new Error("headers not implemented"); } + async json() { throw new Error("json not implemented"); } + async status() { throw new Error("status not implemented"); } + async text() { throw new Error("text not implemented"); } +} \ No newline at end of file diff --git a/smart-http-request/adapters/fetch.js b/smart-http-request/adapters/fetch.js new file mode 100644 index 00000000..fce96058 --- /dev/null +++ b/smart-http-request/adapters/fetch.js @@ -0,0 +1,12 @@ +import { SmartHttpRequestAdapter, SmartHttpResponseAdapter } from "./_adapter.js"; +export class SmartHttpFetchAdapter extends SmartHttpRequestAdapter { + async request(url, opts={}) { + return new SmartHttpFetchResponseAdapter(await fetch(url, opts)); + } +} +export class SmartHttpFetchResponseAdapter extends SmartHttpResponseAdapter { + async headers() { return this.response.headers; } + async json() { return await this.response.json(); } + async status() { return this.response.status; } + async text() { return await this.response.text(); } +} \ No newline at end of file diff --git a/smart-http-request/adapters/obsidian.js b/smart-http-request/adapters/obsidian.js new file mode 100644 index 00000000..99c1f6f0 --- /dev/null +++ b/smart-http-request/adapters/obsidian.js @@ -0,0 +1,22 @@ +import { SmartHttpRequestAdapter, SmartHttpResponseAdapter } from './_adapter.js'; +/** + * extends SmartHttpRequestAdapter + * gets Obsidian's `this.app.vault.adapter.requestUrl` passed as opts.obsidian_request_url to main + */ +export class SmartHttpObsidianRequestAdapter extends SmartHttpRequestAdapter { + async request(url, opts) { + if (!this.main.opts.obsidian_request_url) { + throw new Error('obsidian_request_url is required in SmartHttp constructor opts'); + } + const request_url_params = { url, ...opts }; + const response = await this.main.opts.obsidian_request_url(request_url_params); + return new SmartHttpObsidianResponseAdapter(response); + } +} + +export class SmartHttpObsidianResponseAdapter extends SmartHttpResponseAdapter { + async status() { return this.response.status; } + async json() { return await this.response.json; } + async text() { return await this.response.text; } + async headers() { return this.response.headers; } +} \ No newline at end of file diff --git a/smart-http-request/index.js b/smart-http-request/index.js new file mode 100644 index 00000000..0c50ad46 --- /dev/null +++ b/smart-http-request/index.js @@ -0,0 +1,24 @@ +// Copyright (c) Brian Joseph Petro + +// Permission is hereby granted, free of charge, to any person obtaining +// a copy of this software and associated documentation files (the +// "Software"), to deal in the Software without restriction, including +// without limitation the rights to use, copy, modify, merge, publish, +// distribute, sublicense, and/or sell copies of the Software, and to +// permit persons to whom the Software is furnished to do so, subject to +// the following conditions: + +// The above copyright notice and this permission notice shall be +// included in all copies or substantial portions of the Software. + +// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +// MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +// LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +// OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +// WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +import { SmartHttpRequest } from "./smart_http_request.js"; + +export { SmartHttpRequest }; \ No newline at end of file diff --git a/smart-http-request/package.json b/smart-http-request/package.json new file mode 100644 index 00000000..d120b6f8 --- /dev/null +++ b/smart-http-request/package.json @@ -0,0 +1,22 @@ +{ + "name": "smart-http-request", + "author": "Brian Joseph Petro (🌴 Brian)", + "type": "module", + "license": "MIT", + "version": "1.0.0", + "description": "no-nonsense adapter for various HTTP clients", + "main": "index.js", + "scripts": { + "test": "npx ava" + }, + "repository": { + "type": "git", + "url": "brianpetro/jsbrains" + }, + "keywords": [ + ], + "bugs": { + "url": "https://github.com/brianpetro/jsbrains/issues" + }, + "homepage": "https://jsbrains.org" +} \ No newline at end of file diff --git a/smart-http-request/smart_http_request.js b/smart-http-request/smart_http_request.js new file mode 100644 index 00000000..127d30b2 --- /dev/null +++ b/smart-http-request/smart_http_request.js @@ -0,0 +1,23 @@ +import { SmartHttpRequestFetchAdapter } from "./adapters/fetch.js"; + +export class SmartHttpRequest { + /** + * @param {object} opts - Options for the SmartHttpRequest class + * @param {SmartHttpRequestAdapter} opts.adapter - The adapter constructor to use for making HTTP requests + * @param {Obsidian.requestUrl} opts.obsidian_request_adapter - For use with Obsidian adapter + */ + constructor(opts={}) { + this.opts = opts; + this.adapter = opts.adapter ? new opts.adapter() : new SmartHttpRequestFetchAdapter(); + } + /** + * Returns a well-formed response object + * @param {*} url + * @param {*} opts + * @returns {SmartHttpResponseAdapter} instance of the SmartHttpResponseAdapter class + * @example + * const response = await smart_http_request.request('https://api.example.com/data', { method: 'GET' }); + * console.log(response.data); + */ + async request(url, opts={}) { return await this.adapter.request(url, opts); } +} \ No newline at end of file