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SimpleChat: Rename to apiRequestOptions from chatRequestOptions

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So that it is not wrongly assumed that these request options are
used only for chat/completions endpoint. Rather these are used
for both the end points, so rename to match semantic better.
This commit is contained in:
HanishKVC 2024-06-16 20:15:15 +05:30
parent e4aeafc54f
commit bc336248bc
2 changed files with 24 additions and 24 deletions
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22
examples/server/public_simplechat/readme.md
View file

@ -179,15 +179,15 @@ It is attached to the document object. Some of these can also be updated using t
The histogram/freq based trimming logic is currently tuned for english language wrt its
is-it-a-alpabetic|numeral-char regex match logic.
chatRequestOptions - maintains the list of options/fields to send along with chat request,
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 chatRequestOptions, including even those added by a
user at runtime by directly modifying gMe.chatRequestOptions, setting ui entries will be auto
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
@ -212,10 +212,10 @@ It is attached to the document object. Some of these can also be updated using t
>0 : Send the latest chat history from the latest system prompt, limited to specified cnt.
By using gMe's iRecentUserMsgCnt and chatRequestOptions.max_tokens 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.
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
@ -252,12 +252,12 @@ also be started with a model context size of 1k or more, to be on safe side.
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 chatRequestOptions
wrt the set of fields sent to server along with the user query. To check how the model behaves
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 providing settings ui.
using the provided settings ui (for settings exposed through the ui).
### OpenAi / Equivalent API WebService
@ -268,7 +268,7 @@ 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.chatRequestOptions
* Wrt request body - gMe.apiRequestOptions
* model (settings ui)
* any additional fields if required in future

26
examples/server/public_simplechat/simplechat.js
View file

@ -222,8 +222,8 @@ class SimpleChat {
* @param {Object} obj
*/
request_jsonstr_extend(obj) {
for(let k in gMe.chatRequestOptions) {
obj[k] = gMe.chatRequestOptions[k];
for(let k in gMe.apiRequestOptions) {
obj[k] = gMe.apiRequestOptions[k];
}
if (gMe.bStream) {
obj["stream"] = true;
@ -740,7 +740,7 @@ class Me {
"Authorization": "", // Authorization: Bearer OPENAI_API_KEY
}
// Add needed fields wrt json object to be sent wrt LLM web services completions endpoint.
this.chatRequestOptions = {
this.apiRequestOptions = {
"model": "gpt-3.5-turbo",
"temperature": 0.7,
"max_tokens": 1024,
@ -813,40 +813,40 @@ class Me {
}
ui.el_create_append_p(`chatRequestOptions:${JSON.stringify(this.chatRequestOptions, null, " - ")}`, elDiv);
ui.el_create_append_p(`apiRequestOptions:${JSON.stringify(this.apiRequestOptions, null, " - ")}`, elDiv);
ui.el_create_append_p(`headers:${JSON.stringify(this.headers, null, " - ")}`, elDiv);
}
/**
* Auto create ui input elements for fields in ChatRequestOptions
* Auto create ui input elements for fields in apiRequestOptions
* Currently supports text and number field types.
* @param {HTMLDivElement} elDiv
*/
show_settings_chatrequestoptions(elDiv) {
show_settings_apirequestoptions(elDiv) {
let typeDict = {
"string": "text",
"number": "number",
};
let fs = document.createElement("fieldset");
let legend = document.createElement("legend");
legend.innerText = "ChatRequestOptions";
legend.innerText = "ApiRequestOptions";
fs.appendChild(legend);
elDiv.appendChild(fs);
for(const k in this.chatRequestOptions) {
let val = this.chatRequestOptions[k];
for(const k in this.apiRequestOptions) {
let val = this.apiRequestOptions[k];
let type = typeof(val);
if (((type == "string") || (type == "number"))) {
let inp = ui.el_creatediv_input(`Set${k}`, k, typeDict[type], this.chatRequestOptions[k], (val)=>{
let inp = ui.el_creatediv_input(`Set${k}`, k, typeDict[type], this.apiRequestOptions[k], (val)=>{
if (type == "number") {
val = Number(val);
}
this.chatRequestOptions[k] = val;
this.apiRequestOptions[k] = val;
});
fs.appendChild(inp.div);
} else if (type == "boolean") {
let bbtn = ui.el_creatediv_boolbutton(`Set{k}`, k, {true: "true", false: "false"}, val, (userVal)=>{
this.chatRequestOptions[k] = userVal;
this.apiRequestOptions[k] = userVal;
});
fs.appendChild(bbtn.div);
}
@ -880,7 +880,7 @@ class Me {
});
elDiv.appendChild(bb.div);
this.show_settings_chatrequestoptions(elDiv);
this.show_settings_apirequestoptions(elDiv);
let sel = ui.el_creatediv_select("SetApiEP", "ApiEndPoint", ApiEP.Type, this.apiEP, (val)=>{
this.apiEP = ApiEP.Type[val];