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AI Claude support (#1167)
* Add Claude AI support (#1165) * feat: ai generator - add support for claude * feat: ai generator - add claude support * refactor: clean up API calls --------- Co-authored-by: Azgaar <maxganiev@yandex.com> * feat: ai - claude support --------- Co-authored-by: aesli <37640637+aesliva@users.noreply.github.com> Co-authored-by: Azgaar <azgaar.fmg@yandex.com>
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2 changed files with 138 additions and 80 deletions
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index.html
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index.html
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@ -4951,29 +4951,18 @@
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>Model:
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<select id="aiGeneratorModel"></select>
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</label>
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<label for="aiGeneratorTemperature"
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>Temperature:
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<input id="aiGeneratorTemperature" type="number" min="0" max="2" placeholder="1.2" class="icon-key" />
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<a
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href="https://platform.openai.com/docs/api-reference/chat/create#chat-create-temperature"
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target="_blank"
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rel="noreferrer"
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class="icon-help-circled"
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style="text-decoration: none"
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data-tip="Between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic."
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></a>
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<label for="aiGeneratorTemperature" data-tip="Temperature controls response randomness; higher values mean more creativity, lower values mean more predictability">
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Temperature:
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<input id="aiGeneratorTemperature" type="number" min="-1" max="2" step=".1" class="icon-key" />
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</label>
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<label for="aiGeneratorKey"
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>Key:
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<input id="aiGeneratorKey" placeholder="Enter OpenAI API key" class="icon-key" />
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<a
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href="https://platform.openai.com/account/api-keys"
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target="_blank"
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rel="noreferrer"
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<input id="aiGeneratorKey" placeholder="Enter API key" class="icon-key" />
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<button
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id="aiGeneratorKeyHelp"
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class="icon-help-circled"
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style="text-decoration: none"
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data-tip="Get the key at OpenAI website. The key will be stored in your browser and send to OpenAI API directly. The Map Genenerator doesn't store the key or any generated data"
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></a>
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data-tip="Open provider's website to get the API key there. Note: the Map Genenerator doesn't store the key or any generated data"
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/>
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</label>
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</div>
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</div>
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@ -1,8 +1,114 @@
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"use strict";
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const GPT_MODELS = ["gpt-4o-mini", "chatgpt-4o-latest", "gpt-4o", "gpt-4-turbo", "gpt-4", "gpt-3.5-turbo"];
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const PROVIDERS = {
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openai: {
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keyLink: "https://platform.openai.com/account/api-keys",
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generate: generateWithOpenAI
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},
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anthropic: {
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keyLink: "https://console.anthropic.com/account/keys",
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generate: generateWithAnthropic
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}
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};
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const DEFAULT_MODEL = "gpt-4o-mini";
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const MODELS = {
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"gpt-4o-mini": "openai",
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"chatgpt-4o-latest": "openai",
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"gpt-4o": "openai",
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"gpt-4-turbo": "openai",
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"o1-preview": "openai",
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"o1-mini": "openai",
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"claude-3-5-haiku-latest": "anthropic",
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"claude-3-5-sonnet-latest": "anthropic",
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"claude-3-opus-latest": "anthropic"
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};
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const SYSTEM_MESSAGE = "I'm working on my fantasy map.";
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async function generateWithOpenAI({key, model, prompt, temperature, onContent}) {
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const headers = {
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"Content-Type": "application/json",
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Authorization: `Bearer ${key}`
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};
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const messages = [
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{role: "system", content: SYSTEM_MESSAGE},
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{role: "user", content: prompt}
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];
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const response = await fetch("https://api.openai.com/v1/chat/completions", {
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method: "POST",
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headers,
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body: JSON.stringify({model, messages, temperature, stream: true})
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});
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const getContent = json => {
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const content = json.choices?.[0]?.delta?.content;
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if (content) onContent(content);
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};
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await handleStream(response, getContent);
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}
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async function generateWithAnthropic({key, model, prompt, temperature, onContent}) {
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const headers = {
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"Content-Type": "application/json",
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"x-api-key": key,
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"anthropic-version": "2023-06-01",
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"anthropic-dangerous-direct-browser-access": "true"
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};
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const messages = [{role: "user", content: prompt}];
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const response = await fetch("https://api.anthropic.com/v1/messages", {
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method: "POST",
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headers,
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body: JSON.stringify({model, system: SYSTEM_MESSAGE, messages, temperature, max_tokens: 4096, stream: true})
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});
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const getContent = json => {
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const content = json.delta?.text;
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if (content) onContent(content);
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};
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await handleStream(response, getContent);
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}
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async function handleStream(response, getContent) {
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if (!response.ok) {
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const json = await response.json();
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throw new Error(json?.error?.message || "Failed to generate");
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}
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const reader = response.body.getReader();
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const decoder = new TextDecoder("utf-8");
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let buffer = "";
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while (true) {
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const {done, value} = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, {stream: true});
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const lines = buffer.split("\n");
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for (let i = 0; i < lines.length - 1; i++) {
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const line = lines[i].trim();
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if (line.startsWith("data: ") && line !== "data: [DONE]") {
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try {
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const json = JSON.parse(line.slice(6));
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getContent(json);
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} catch (jsonError) {
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ERROR && console.error(`Failed to parse JSON:`, jsonError, `Line: ${line}`);
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}
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}
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}
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buffer = lines.at(-1);
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}
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}
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function generateWithAi(defaultPrompt, onApply) {
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updateValues();
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@ -29,90 +135,53 @@ function generateWithAi(defaultPrompt, onApply) {
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if (modules.generateWithAi) return;
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modules.generateWithAi = true;
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byId("aiGeneratorKeyHelp").on("click", function (e) {
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const model = byId("aiGeneratorModel").value;
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const provider = MODELS[model];
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openURL(PROVIDERS[provider].keyLink);
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});
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function updateValues() {
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byId("aiGeneratorResult").value = "";
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byId("aiGeneratorPrompt").value = defaultPrompt;
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byId("aiGeneratorKey").value = localStorage.getItem("fmg-ai-kl") || "";
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byId("aiGeneratorTemperature").value = localStorage.getItem("fmg-ai-temperature") || "1.2";
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byId("aiGeneratorTemperature").value = localStorage.getItem("fmg-ai-temperature") || "1";
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const select = byId("aiGeneratorModel");
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select.options.length = 0;
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GPT_MODELS.forEach(model => select.options.add(new Option(model, model)));
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select.value = localStorage.getItem("fmg-ai-model") || GPT_MODELS[0];
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Object.keys(MODELS).forEach(model => select.options.add(new Option(model, model)));
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select.value = localStorage.getItem("fmg-ai-model");
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if (!select.value || !MODELS[select.value]) select.value = DEFAULT_MODEL;
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const provider = MODELS[select.value];
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byId("aiGeneratorKey").value = localStorage.getItem(`fmg-ai-kl-${provider}`) || "";
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}
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async function generate(button) {
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const key = byId("aiGeneratorKey").value;
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if (!key) return tip("Please enter an OpenAI API key", true, "error", 4000);
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localStorage.setItem("fmg-ai-kl", key);
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if (!key) return tip("Please enter an API key", true, "error", 4000);
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const model = byId("aiGeneratorModel").value;
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if (!model) return tip("Please select a model", true, "error", 4000);
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localStorage.setItem("fmg-ai-model", model);
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const provider = MODELS[model];
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localStorage.setItem(`fmg-ai-kl-${provider}`, key);
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const prompt = byId("aiGeneratorPrompt").value;
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if (!prompt) return tip("Please enter a prompt", true, "error", 4000);
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const temperature = parseFloat(byId("aiGeneratorTemperature").value);
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if (isNaN(temperature) || temperature < 0 || temperature > 2) {
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return tip("Temperature must be a number between 0 and 2", true, "error", 4000);
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}
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localStorage.setItem("fmg-ai-temperature", temperature.toString());
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const temperature = byId("aiGeneratorTemperature").valueAsNumber;
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if (isNaN(temperature)) return tip("Temperature must be a number", true, "error", 4000);
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localStorage.setItem("fmg-ai-temperature", temperature);
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try {
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button.disabled = true;
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const resultArea = byId("aiGeneratorResult");
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resultArea.value = "";
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resultArea.disabled = true;
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resultArea.value = "";
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const onContent = content => (resultArea.value += content);
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const response = await fetch("https://api.openai.com/v1/chat/completions", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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Authorization: `Bearer ${key}`
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},
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body: JSON.stringify({
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model,
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messages: [
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{role: "system", content: SYSTEM_MESSAGE},
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{role: "user", content: prompt}
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],
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temperature: temperature,
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stream: true // Enable streaming
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})
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});
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if (!response.ok) {
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const json = await response.json();
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throw new Error(json?.error?.message || "Failed to generate");
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}
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const reader = response.body.getReader();
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const decoder = new TextDecoder("utf-8");
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let buffer = "";
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while (true) {
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const {done, value} = await reader.read();
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if (done) break;
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buffer += decoder.decode(value, {stream: true});
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const lines = buffer.split("\n");
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for (let i = 0; i < lines.length - 1; i++) {
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const line = lines[i].trim();
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if (line.startsWith("data: ") && line !== "data: [DONE]") {
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try {
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const jsonData = JSON.parse(line.slice(6));
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const content = jsonData.choices[0].delta.content;
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if (content) resultArea.value += content;
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} catch (jsonError) {
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console.warn("Failed to parse JSON:", jsonError, "Line:", line);
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}
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}
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}
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buffer = lines[lines.length - 1];
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}
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await PROVIDERS[provider].generate({key, model, prompt, temperature, onContent});
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} catch (error) {
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return tip(error.message, true, "error", 4000);
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} finally {
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