mirror of
https://github.com/informaticker/cchat.git
synced 2024-11-23 18:11:56 +01:00
264 lines
7.7 KiB
JavaScript
264 lines
7.7 KiB
JavaScript
document.addEventListener("alpine:init", () => {
|
|
Alpine.data("state", () => ({
|
|
// current state
|
|
cstate: {
|
|
time: null,
|
|
messages: [],
|
|
},
|
|
allMessages: [],
|
|
displayMessages: [],
|
|
|
|
// historical state
|
|
histories: JSON.parse(localStorage.getItem("histories")) || [],
|
|
|
|
home: 0,
|
|
generating: false,
|
|
endpoint: window.location.origin + "/v1",
|
|
model: "llama3-groq-70b-8192-tool-use-preview",
|
|
stopToken: "sfjsdkfjsljflksdkj",
|
|
|
|
// performance tracking
|
|
time_till_first: 0,
|
|
tokens_per_second: 0,
|
|
total_tokens: 0,
|
|
|
|
// New property for error messages
|
|
errorMessage: null,
|
|
|
|
// Debug mode
|
|
debug: false,
|
|
|
|
removeHistory(cstate) {
|
|
const index = this.histories.findIndex((state) => {
|
|
return state.time === cstate.time;
|
|
});
|
|
if (index !== -1) {
|
|
this.histories.splice(index, 1);
|
|
localStorage.setItem("histories", JSON.stringify(this.histories));
|
|
}
|
|
},
|
|
|
|
resetChat() {
|
|
this.cstate = {
|
|
time: null,
|
|
messages: [],
|
|
};
|
|
this.allMessages = [];
|
|
this.displayMessages = [];
|
|
this.total_tokens = 0;
|
|
this.time_till_first = 0;
|
|
this.tokens_per_second = 0;
|
|
},
|
|
|
|
loadChat(chatState) {
|
|
this.cstate = JSON.parse(JSON.stringify(chatState)); // Deep copy
|
|
this.allMessages = [...this.cstate.messages];
|
|
this.displayMessages = [...this.cstate.messages];
|
|
this.home = 1;
|
|
this.updateTotalTokens(this.allMessages);
|
|
},
|
|
|
|
async handleSend() {
|
|
const el = document.getElementById("input-form");
|
|
const value = el.value.trim();
|
|
if (!value) return;
|
|
|
|
if (this.generating) return;
|
|
this.generating = true;
|
|
this.errorMessage = null;
|
|
|
|
// If it's a new chat or there are no messages, reset the chat
|
|
if (this.home === 0 || this.cstate.messages.length === 0) {
|
|
this.resetChat();
|
|
}
|
|
|
|
if (this.home === 0) this.home = 1;
|
|
|
|
window.history.pushState({}, "", "/");
|
|
|
|
const userMessage = { role: "user", content: value };
|
|
this.cstate.messages.push(userMessage);
|
|
this.allMessages.push(userMessage);
|
|
this.displayMessages.push(userMessage);
|
|
|
|
el.value = "";
|
|
el.style.height = "auto";
|
|
el.style.height = el.scrollHeight + "px";
|
|
|
|
const prefill_start = Date.now();
|
|
let start_time = 0;
|
|
let tokens = 0;
|
|
this.tokens_per_second = 0;
|
|
|
|
try {
|
|
let currentAssistantMessage = null;
|
|
|
|
for await (const chunk of this.openaiChatCompletion(this.allMessages)) {
|
|
if (chunk.role === "function") {
|
|
if (currentAssistantMessage) {
|
|
this.allMessages.push(currentAssistantMessage);
|
|
this.displayMessages.push(currentAssistantMessage);
|
|
currentAssistantMessage = null;
|
|
}
|
|
this.allMessages.push(chunk);
|
|
if (this.debug) {
|
|
this.displayMessages.push(chunk);
|
|
}
|
|
} else {
|
|
if (!currentAssistantMessage) {
|
|
currentAssistantMessage = { role: "assistant", content: "" };
|
|
}
|
|
currentAssistantMessage.content += chunk;
|
|
|
|
tokens += 1;
|
|
this.total_tokens += 1;
|
|
if (start_time === 0) {
|
|
start_time = Date.now();
|
|
this.time_till_first = start_time - prefill_start;
|
|
} else {
|
|
const diff = Date.now() - start_time;
|
|
if (diff > 0) {
|
|
this.tokens_per_second = tokens / (diff / 1000);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Add any pending assistant message
|
|
if (currentAssistantMessage) {
|
|
this.allMessages.push(currentAssistantMessage);
|
|
this.displayMessages.push(currentAssistantMessage);
|
|
}
|
|
|
|
// Update total tokens using all messages
|
|
this.updateTotalTokens(this.allMessages);
|
|
|
|
// Update cstate.messages with displayMessages
|
|
this.cstate.messages = [...this.displayMessages];
|
|
|
|
const index = this.histories.findIndex(
|
|
(cstate) => cstate.time === this.cstate.time,
|
|
);
|
|
this.cstate.time = Date.now();
|
|
if (index !== -1) {
|
|
this.histories[index] = this.cstate;
|
|
} else {
|
|
this.histories.push(this.cstate);
|
|
}
|
|
localStorage.setItem("histories", JSON.stringify(this.histories));
|
|
} catch (error) {
|
|
console.error("Error in handleSend:", error);
|
|
this.showError(
|
|
error.message || "An error occurred processing your request.",
|
|
);
|
|
} finally {
|
|
this.generating = false;
|
|
}
|
|
},
|
|
|
|
async handleEnter(event) {
|
|
if (!event.shiftKey) {
|
|
event.preventDefault();
|
|
await this.handleSend();
|
|
}
|
|
},
|
|
|
|
showError(message) {
|
|
this.errorMessage = message;
|
|
setTimeout(() => {
|
|
this.errorMessage = null;
|
|
}, 3000);
|
|
},
|
|
|
|
updateTotalTokens(messages) {
|
|
fetch(`${window.location.origin}/v1/tokenizer/count`, {
|
|
method: "POST",
|
|
headers: { "Content-Type": "application/json" },
|
|
body: JSON.stringify({ messages: this.allMessages }), // Always use allMessages for token counting
|
|
})
|
|
.then((response) => {
|
|
if (!response.ok) {
|
|
throw new Error("Failed to count tokens");
|
|
}
|
|
return response.json();
|
|
})
|
|
.then((data) => {
|
|
this.total_tokens = data.token_count;
|
|
})
|
|
.catch((error) => {
|
|
console.error("Error updating total tokens:", error);
|
|
this.showError("Failed to update token count. Please try again.");
|
|
});
|
|
},
|
|
|
|
async *openaiChatCompletion(messages) {
|
|
try {
|
|
const response = await fetch(`${this.endpoint}/chat/completions`, {
|
|
method: "POST",
|
|
headers: {
|
|
"Content-Type": "application/json",
|
|
Authorization: `Bearer ${this.apiKey}`,
|
|
},
|
|
body: JSON.stringify({
|
|
model: this.model,
|
|
messages: messages,
|
|
stream: true,
|
|
stop: [this.stopToken],
|
|
}),
|
|
});
|
|
|
|
if (!response.ok) {
|
|
const errorData = await response.json();
|
|
throw new Error(errorData.error || "Failed to fetch");
|
|
}
|
|
|
|
const reader = response.body.getReader();
|
|
const decoder = new TextDecoder("utf-8");
|
|
let buffer = "";
|
|
|
|
while (true) {
|
|
const { done, value } = await reader.read();
|
|
if (done) break;
|
|
|
|
buffer += decoder.decode(value, { stream: true });
|
|
const lines = buffer.split("\n");
|
|
buffer = lines.pop();
|
|
|
|
for (const line of lines) {
|
|
if (line.startsWith("data: ")) {
|
|
const data = line.slice(6);
|
|
if (data === "[DONE]") return;
|
|
|
|
try {
|
|
const json = JSON.parse(data);
|
|
if (json.choices && json.choices[0].delta) {
|
|
const delta = json.choices[0].delta;
|
|
if (delta.role === "function") {
|
|
// Yield the entire function message
|
|
yield {
|
|
role: "function",
|
|
name: delta.name,
|
|
content: delta.content,
|
|
};
|
|
} else if (delta.content) {
|
|
yield delta.content;
|
|
}
|
|
}
|
|
} catch (error) {
|
|
console.error("Error parsing JSON:", error);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
} catch (error) {
|
|
console.error("Error in openaiChatCompletion:", error);
|
|
this.showError(
|
|
error.message ||
|
|
"An error occurred while communicating with the server.",
|
|
);
|
|
throw error;
|
|
}
|
|
},
|
|
}));
|
|
});
|