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| # SimpleChat | |
| by Humans for All. | |
| ## quickstart | |
| To run from the build dir | |
| bin/llama-server -m path/model.gguf --path ../examples/server/public_simplechat | |
| Continue reading for the details. | |
| ## overview | |
| This simple web frontend, allows triggering/testing the server's /completions or /chat/completions endpoints | |
| in a simple way with minimal code from a common code base. Inturn additionally it tries to allow single or | |
| multiple independent back and forth chatting to an extent, with the ai llm model at a basic level, with their | |
| own system prompts. | |
| This allows seeing the generated text / ai-model response in oneshot at the end, after it is fully generated, | |
| or potentially as it is being generated, in a streamed manner from the server/ai-model. | |
|  | |
| Auto saves the chat session locally as and when the chat is progressing and inturn at a later time when you | |
| open SimpleChat, option is provided to restore the old chat session, if a matching one exists. | |
| The UI follows a responsive web design so that the layout can adapt to available display space in a usable | |
| enough manner, in general. | |
| Allows developer/end-user to control some of the behaviour by updating gMe members from browser's devel-tool | |
| console. Parallely some of the directly useful to end-user settings can also be changed using the provided | |
| settings ui. | |
| NOTE: Current web service api doesnt expose the model context length directly, so client logic doesnt provide | |
| any adaptive culling of old messages nor of replacing them with summary of their content etal. However there | |
| is a optional sliding window based chat logic, which provides a simple minded culling of old messages from | |
| the chat history before sending to the ai model. | |
| NOTE: Wrt options sent with the request, it mainly sets temperature, max_tokens and optionaly stream for now. | |
| However if someone wants they can update the js file or equivalent member in gMe as needed. | |
| NOTE: One may be able to use this to chat with openai api web-service /chat/completions endpoint, in a very | |
| limited / minimal way. One will need to set model, openai url and authorization bearer key in settings ui. | |
| ## usage | |
| One could run this web frontend directly using server itself or if anyone is thinking of adding a built in web | |
| frontend to configure the server over http(s) or so, then run this web frontend using something like python's | |
| http module. | |
| ### running using examples/server | |
| ./llama-server -m path/model.gguf --path examples/server/public_simplechat [--port PORT] | |
| ### running using python3's server module | |
| first run examples/server | |
| * ./llama-server -m path/model.gguf | |
| next run this web front end in examples/server/public_simplechat | |
| * cd ../examples/server/public_simplechat | |
| * python3 -m http.server PORT | |
| ### using the front end | |
| Open this simple web front end from your local browser | |
| * http://127.0.0.1:PORT/index.html | |
| Once inside | |
| * If you want to, you can change many of the default global settings | |
| * the base url (ie ip addr / domain name, port) | |
| * chat (default) vs completion mode | |
| * try trim garbage in response or not | |
| * amount of chat history in the context sent to server/ai-model | |
| * oneshot or streamed mode. | |
| * In completion mode | |
| * one normally doesnt use a system prompt in completion mode. | |
| * logic by default doesnt insert any role specific "ROLE: " prefix wrt each role's message. | |
| If the model requires any prefix wrt user role messages, then the end user has to | |
| explicitly add the needed prefix, when they enter their chat message. | |
| Similarly if the model requires any prefix to trigger assistant/ai-model response, | |
| then the end user needs to enter the same. | |
| This keeps the logic simple, while still giving flexibility to the end user to | |
| manage any templating/tagging requirement wrt their messages to the model. | |
| * the logic doesnt insert newline at the begining and end wrt the prompt message generated. | |
| However if the chat being sent to /completions end point has more than one role's message, | |
| then insert newline when moving from one role's message to the next role's message, so | |
| that it can be clearly identified/distinguished. | |
| * given that /completions endpoint normally doesnt add additional chat-templating of its | |
| own, the above ensures that end user can create a custom single/multi message combo with | |
| any tags/special-tokens related chat templating to test out model handshake. Or enduser | |
| can use it just for normal completion related/based query. | |
| * If you want to provide a system prompt, then ideally enter it first, before entering any user query. | |
| Normally Completion mode doesnt need system prompt, while Chat mode can generate better/interesting | |
| responses with a suitable system prompt. | |
| * if chat.add_system_begin is used | |
| * you cant change the system prompt, after it is has been submitted once along with user query. | |
| * you cant set a system prompt, after you have submitted any user query | |
| * if chat.add_system_anytime is used | |
| * one can change the system prompt any time during chat, by changing the contents of system prompt. | |
| * inturn the updated/changed system prompt will be inserted into the chat session. | |
| * this allows for the subsequent user chatting to be driven by the new system prompt set above. | |
| * Enter your query and either press enter or click on the submit button. | |
| If you want to insert enter (\n) as part of your chat/query to ai model, use shift+enter. | |
| * Wait for the logic to communicate with the server and get the response. | |
| * the user is not allowed to enter any fresh query during this time. | |
| * the user input box will be disabled and a working message will be shown in it. | |
| * if trim garbage is enabled, the logic will try to trim repeating text kind of garbage to some extent. | |
| * just refresh the page, to reset wrt the chat history and or system prompt and start afresh. | |
| * Using NewChat one can start independent chat sessions. | |
| * two independent chat sessions are setup by default. | |
| * When you want to print, switching ChatHistoryInCtxt to Full and clicking on the chat session button of | |
| interest, will display the full chat history till then wrt same, if you want full history for printing. | |
| ## Devel note | |
| ### Reason behind this | |
| The idea is to be easy enough to use for basic purposes, while also being simple and easily discernable | |
| by developers who may not be from web frontend background (so inturn may not be familiar with template / | |
| end-use-specific-language-extensions driven flows) so that they can use it to explore/experiment things. | |
| And given that the idea is also to help explore/experiment for developers, some flexibility is provided | |
| to change behaviour easily using the devel-tools/console or provided minimal settings ui (wrt few aspects). | |
| Skeletal logic has been implemented to explore some of the end points and ideas/implications around them. | |
| ### General | |
| Me/gMe consolidates the settings which control the behaviour into one object. | |
| One can see the current settings, as well as change/update them using browsers devel-tool/console. | |
| It is attached to the document object. Some of these can also be updated using the Settings UI. | |
| baseURL - the domain-name/ip-address and inturn the port to send the request. | |
| bStream - control between oneshot-at-end and live-stream-as-its-generated collating and showing | |
| of the generated response. | |
| the logic assumes that the text sent from the server follows utf-8 encoding. | |
| in streaming mode - if there is any exception, the logic traps the same and tries to ensure | |
| that text generated till then is not lost. | |
| if a very long text is being generated, which leads to no user interaction for sometime and | |
| inturn the machine goes into power saving mode or so, the platform may stop network connection, | |
| leading to exception. | |
| apiEP - select between /completions and /chat/completions endpoint provided by the server/ai-model. | |
| bCompletionFreshChatAlways - whether Completion mode collates complete/sliding-window history when | |
| communicating with the server or only sends the latest user query/message. | |
| bCompletionInsertStandardRolePrefix - whether Completion mode inserts role related prefix wrt the | |
| messages that get inserted into prompt field wrt /Completion endpoint. | |
| bTrimGarbage - whether garbage repeatation at the end of the generated ai response, should be | |
| trimmed or left as is. If enabled, it will be trimmed so that it wont be sent back as part of | |
| subsequent chat history. At the same time the actual trimmed text is shown to the user, once | |
| when it was generated, so user can check if any useful info/data was there in the response. | |
| One may be able to request the ai-model to continue (wrt the last response) (if chat-history | |
| is enabled as part of the chat-history-in-context setting), and chances are the ai-model will | |
| continue starting from the trimmed part, thus allows long response to be recovered/continued | |
| indirectly, in many cases. | |
| The histogram/freq based trimming logic is currently tuned for english language wrt its | |
| is-it-a-alpabetic|numeral-char regex match logic. | |
| apiRequestOptions - maintains the list of options/fields to send along with api request, | |
| irrespective of whether /chat/completions or /completions endpoint. | |
| If you want to add additional options/fields to send to the server/ai-model, and or | |
| modify the existing options value or remove them, for now you can update this global var | |
| using browser's development-tools/console. | |
| For string, numeric and boolean fields in apiRequestOptions, including even those added by a | |
| user at runtime by directly modifying gMe.apiRequestOptions, setting ui entries will be auto | |
| created. | |
| cache_prompt option supported by example/server is allowed to be controlled by user, so that | |
| any caching supported wrt system-prompt and chat history, if usable can get used. When chat | |
| history sliding window is enabled, cache_prompt logic may or may not kick in at the backend | |
| wrt same, based on aspects related to model, positional encoding, attention mechanism etal. | |
| However system prompt should ideally get the benefit of caching. | |
| headers - maintains the list of http headers sent when request is made to the server. By default | |
| Content-Type is set to application/json. Additionally Authorization entry is provided, which can | |
| be set if needed using the settings ui. | |
| iRecentUserMsgCnt - a simple minded SlidingWindow to limit context window load at Ai Model end. | |
| This is disabled by default. However if enabled, then in addition to latest system message, only | |
| the last/latest iRecentUserMsgCnt user messages after the latest system prompt and its responses | |
| from the ai model will be sent to the ai-model, when querying for a new response. IE if enabled, | |
| only user messages after the latest system message/prompt will be considered. | |
| This specified sliding window user message count also includes the latest user query. | |
| <0 : Send entire chat history to server | |
| 0 : Send only the system message if any to the server | |
| >0 : Send the latest chat history from the latest system prompt, limited to specified cnt. | |
| By using gMe's iRecentUserMsgCnt and apiRequestOptions.max_tokens/n_predict one can try to control | |
| the implications of loading of the ai-model's context window by chat history, wrt chat response to | |
| some extent in a simple crude way. You may also want to control the context size enabled when the | |
| server loads ai-model, on the server end. | |
| Sometimes the browser may be stuborn with caching of the file, so your updates to html/css/js | |
| may not be visible. Also remember that just refreshing/reloading page in browser or for that | |
| matter clearing site data, dont directly override site caching in all cases. Worst case you may | |
| have to change port. Or in dev tools of browser, you may be able to disable caching fully. | |
| Currently the server to communicate with is maintained globally and not as part of a specific | |
| chat session. So if one changes the server ip/url in setting, then all chat sessions will auto | |
| switch to this new server, when you try using those sessions. | |
| By switching between chat.add_system_begin/anytime, one can control whether one can change | |
| the system prompt, anytime during the conversation or only at the beginning. | |
| ### Default setup | |
| By default things are setup to try and make the user experience a bit better, if possible. | |
| However a developer when testing the server of ai-model may want to change these value. | |
| Using iRecentUserMsgCnt reduce chat history context sent to the server/ai-model to be | |
| just the system-prompt, prev-user-request-and-ai-response and cur-user-request, instead of | |
| full chat history. This way if there is any response with garbage/repeatation, it doesnt | |
| mess with things beyond the next question/request/query, in some ways. The trim garbage | |
| option also tries to help avoid issues with garbage in the context to an extent. | |
| Set max_tokens to 1024, so that a relatively large previous reponse doesnt eat up the space | |
| available wrt next query-response. However dont forget that the server when started should | |
| also be started with a model context size of 1k or more, to be on safe side. | |
| The /completions endpoint of examples/server doesnt take max_tokens, instead it takes the | |
| internal n_predict, for now add the same here on the client side, maybe later add max_tokens | |
| to /completions endpoint handling code on server side. | |
| NOTE: One may want to experiment with frequency/presence penalty fields in apiRequestOptions | |
| wrt the set of fields sent to server along with the user query, to check how the model behaves | |
| wrt repeatations in general in the generated text response. | |
| A end-user can change these behaviour by editing gMe from browser's devel-tool/console or by | |
| using the provided settings ui (for settings exposed through the ui). | |
| ### OpenAi / Equivalent API WebService | |
| One may be abe to handshake with OpenAI/Equivalent api web service's /chat/completions endpoint | |
| for a minimal chatting experimentation by setting the below. | |
| * the baseUrl in settings ui | |
| * https://api.openai.com/v1 or similar | |
| * Wrt request body - gMe.apiRequestOptions | |
| * model (settings ui) | |
| * any additional fields if required in future | |
| * Wrt request headers - gMe.headers | |
| * Authorization (available through settings ui) | |
| * Bearer THE_OPENAI_API_KEY | |
| * any additional optional header entries like "OpenAI-Organization", "OpenAI-Project" or so | |
| NOTE: Not tested, as there is no free tier api testing available. However logically this might | |
| work. | |
| ## At the end | |
| Also a thank you to all open source and open model developers, who strive for the common good. | |