更新Bedrock

app/client/api.ts

@@ -9,6 +9,7 @@ import { ChatMessage, ModelType, useAccessStore, useChatStore } from "../store";
 import { ChatGPTApi } from "./platforms/openai";
 import { GeminiProApi } from "./platforms/google";
 import { ClaudeApi } from "./platforms/anthropic";
+import { BedrockApi } from "./platforms/aws";
 export const ROLES = ["system", "user", "assistant"] as const;
 export type MessageRole = (typeof ROLES)[number];
 
@@ -70,7 +71,7 @@ export abstract class LLMApi {
   abstract models(): Promise<LLMModel[]>;
 }
 
-type ProviderName = "openai" | "azure" | "claude" | "palm";
+type ProviderName = "aws" | "openai" | "azure" | "claude" | "palm";
 
 interface Model {
   name: string;
@@ -102,6 +103,9 @@ export class ClientApi {
       case ModelProvider.Claude:
         this.llm = new ClaudeApi();
         break;
+      case ModelProvider.Bedrock:
+        this.llm = new BedrockApi();
+        break;
       default:
         this.llm = new ChatGPTApi();
     }
@@ -162,11 +166,15 @@ export function getHeaders() {
   const modelConfig = useChatStore.getState().currentSession().mask.modelConfig;
   const isGoogle = modelConfig.model.startsWith("gemini");
   const isAzure = accessStore.provider === ServiceProvider.Azure;
+  const isAWS = accessStore.provider === ServiceProvider.AWS;
   const authHeader = isAzure ? "api-key" : "Authorization";
+
   const apiKey = isGoogle
     ? accessStore.googleApiKey
     : isAzure
     ? accessStore.azureApiKey
+    : isAWS
+    ? accessStore.awsApiKey
     : accessStore.openaiApiKey;
   const clientConfig = getClientConfig();
   const makeBearer = (s: string) => `${isAzure ? "" : "Bearer "}${s.trim()}`;

app/client/platforms/aws.ts

@@ -0,0 +1,330 @@
+"use client";
+import { DEFAULT_MODELS, AWS, REQUEST_TIMEOUT_MS } from "@/app/constant";
+import { useAccessStore, useAppConfig, useChatStore } from "@/app/store";
+
+import {
+  ChatOptions,
+  getHeaders,
+  LLMApi,
+  LLMModel,
+  LLMUsage,
+  MultimodalContent,
+} from "../api";
+import Locale from "../../locales";
+import {
+  EventStreamContentType,
+  fetchEventSource,
+} from "@fortaine/fetch-event-source";
+import { prettyObject } from "@/app/utils/format";
+import { getClientConfig } from "@/app/config/client";
+import {
+  getMessageTextContent,
+  getMessageImages,
+  isVisionModel,
+} from "@/app/utils";
+
+export interface OpenAIListModelResponse {
+  object: string;
+  data: Array<{
+    id: string;
+    object: string;
+    root: string;
+  }>;
+}
+
+export class BedrockApi implements LLMApi {
+  private disableListModels = true;
+
+  path(path: string): string {
+    const accessStore = useAccessStore.getState();
+
+    if (!accessStore.awsUrl) {
+      throw Error("Please set your access url.");
+    }
+    let baseUrl = accessStore.awsUrl;
+    if (baseUrl.endsWith("/")) {
+      baseUrl = baseUrl.slice(0, baseUrl.length - 1);
+    }
+    console.log("[Proxy Endpoint] ", baseUrl, path);
+    return [baseUrl, path].join("/");
+  }
+
+  extractMessage(res: any) {
+    return res.choices?.at(0)?.message?.content ?? "";
+  }
+
+  async chat(options: ChatOptions) {
+    const visionModel = isVisionModel(options.config.model);
+    const messages = options.messages.map((v) => ({
+      role: v.role,
+      content: visionModel ? v.content : getMessageTextContent(v),
+    }));
+
+    const modelConfig = {
+      ...useAppConfig.getState().modelConfig,
+      ...useChatStore.getState().currentSession().mask.modelConfig,
+      ...{
+        model: options.config.model,
+      },
+    };
+
+    const requestPayload = {
+      messages,
+      stream: options.config.stream,
+      model: modelConfig.model,
+      temperature: modelConfig.temperature,
+      presence_penalty: modelConfig.presence_penalty,
+      frequency_penalty: modelConfig.frequency_penalty,
+      top_p: modelConfig.top_p,
+      max_tokens: modelConfig.max_tokens,
+    };
+
+    // add max_tokens to vision model
+    if (visionModel) {
+      Object.defineProperty(requestPayload, "max_tokens", {
+        enumerable: true,
+        configurable: true,
+        writable: true,
+        value: modelConfig.max_tokens,
+      });
+    }
+
+    console.log("[Request] aws bedrock payload: ", requestPayload);
+
+    const shouldStream = !!options.config.stream;
+    const controller = new AbortController();
+    options.onController?.(controller);
+
+    try {
+      const chatPath = this.path(AWS.ChatPath);
+      const chatPayload = {
+        method: "POST",
+        body: JSON.stringify(requestPayload),
+        signal: controller.signal,
+        headers: getHeaders(),
+      };
+
+      // make a fetch request
+      const requestTimeoutId = setTimeout(
+        () => controller.abort(),
+        REQUEST_TIMEOUT_MS,
+      );
+
+      if (shouldStream) {
+        let responseText = "";
+        let remainText = "";
+        let finished = false;
+
+        // animate response to make it looks smooth
+        function animateResponseText() {
+          if (finished || controller.signal.aborted) {
+            responseText += remainText;
+            console.log("[Response Animation] finished");
+            return;
+          }
+
+          if (remainText.length > 0) {
+            const fetchCount = Math.max(1, Math.round(remainText.length / 60));
+            const fetchText = remainText.slice(0, fetchCount);
+            responseText += fetchText;
+            remainText = remainText.slice(fetchCount);
+            options.onUpdate?.(responseText, fetchText);
+          }
+
+          requestAnimationFrame(animateResponseText);
+        }
+
+        // start animaion
+        animateResponseText();
+
+        const finish = () => {
+          if (!finished) {
+            finished = true;
+            options.onFinish(responseText + remainText);
+          }
+        };
+
+        controller.signal.onabort = finish;
+
+        fetchEventSource(chatPath, {
+          ...chatPayload,
+          async onopen(res) {
+            clearTimeout(requestTimeoutId);
+            const contentType = res.headers.get("content-type");
+            console.log("[AWS] request response content type: ", contentType);
+
+            if (contentType?.startsWith("text/plain")) {
+              responseText = await res.clone().text();
+              return finish();
+            }
+
+            if (
+              !res.ok ||
+              !res.headers
+                .get("content-type")
+                ?.startsWith(EventStreamContentType) ||
+              res.status !== 200
+            ) {
+              const responseTexts = [responseText];
+              let extraInfo = await res.clone().text();
+              try {
+                const resJson = await res.clone().json();
+                extraInfo = prettyObject(resJson);
+              } catch {}
+
+              if (res.status === 401) {
+                responseTexts.push(Locale.Error.Unauthorized);
+              }
+
+              if (extraInfo) {
+                responseTexts.push(extraInfo);
+              }
+
+              responseText = responseTexts.join("\n\n");
+
+              return finish();
+            }
+          },
+          onmessage(msg) {
+            if (msg.data === "[DONE]" || finished) {
+              return finish();
+            }
+            const text = msg.data;
+            try {
+              const json = JSON.parse(text) as {
+                choices: Array<{
+                  delta: {
+                    content: string;
+                  };
+                }>;
+              };
+              const delta = json.choices[0]?.delta?.content;
+              if (delta) {
+                remainText += delta;
+              }
+            } catch (e) {
+              console.error("[Request] parse error", text);
+            }
+          },
+          onclose() {
+            finish();
+          },
+          onerror(e) {
+            options.onError?.(e);
+            throw e;
+          },
+          openWhenHidden: true,
+        });
+      } else {
+        const res = await fetch(chatPath, chatPayload);
+        clearTimeout(requestTimeoutId);
+
+        const resJson = await res.json();
+        const message = this.extractMessage(resJson);
+        options.onFinish(message);
+      }
+    } catch (e) {
+      console.log("[Request] failed to make a chat request", e);
+      options.onError?.(e as Error);
+    }
+  }
+
+  async usage() {
+    const formatDate = (d: Date) =>
+      `${d.getFullYear()}-${(d.getMonth() + 1).toString().padStart(2, "0")}-${d
+        .getDate()
+        .toString()
+        .padStart(2, "0")}`;
+    const ONE_DAY = 1 * 24 * 60 * 60 * 1000;
+    const now = new Date();
+    const startOfMonth = new Date(now.getFullYear(), now.getMonth(), 1);
+    const startDate = formatDate(startOfMonth);
+    const endDate = formatDate(new Date(Date.now() + ONE_DAY));
+
+    const [used, subs] = await Promise.all([
+      fetch(
+        this.path(
+          `${AWS.UsagePath}?start_date=${startDate}&end_date=${endDate}`,
+        ),
+        {
+          method: "GET",
+          headers: getHeaders(),
+        },
+      ),
+      fetch(this.path(AWS.SubsPath), {
+        method: "GET",
+        headers: getHeaders(),
+      }),
+    ]);
+
+    if (used.status === 401) {
+      throw new Error(Locale.Error.Unauthorized);
+    }
+
+    if (!used.ok || !subs.ok) {
+      throw new Error("Failed to query usage from openai");
+    }
+
+    const response = (await used.json()) as {
+      total_usage?: number;
+      error?: {
+        type: string;
+        message: string;
+      };
+    };
+
+    const total = (await subs.json()) as {
+      hard_limit_usd?: number;
+    };
+
+    if (response.error && response.error.type) {
+      throw Error(response.error.message);
+    }
+
+    if (response.total_usage) {
+      response.total_usage = Math.round(response.total_usage) / 100;
+    }
+
+    if (total.hard_limit_usd) {
+      total.hard_limit_usd = Math.round(total.hard_limit_usd * 100) / 100;
+    }
+
+    return {
+      used: response.total_usage,
+      total: total.hard_limit_usd,
+    } as LLMUsage;
+  }
+
+  async models(): Promise<LLMModel[]> {
+    if (this.disableListModels) {
+      return DEFAULT_MODELS.slice();
+    }
+
+    const res = await fetch(this.path(AWS.ListModelPath), {
+      method: "GET",
+      headers: {
+        ...getHeaders(),
+      },
+    });
+
+    const resJson = (await res.json()) as OpenAIListModelResponse;
+    const chatModels = resJson.data;
+    console.log("[Models]", chatModels);
+
+    if (!chatModels) {
+      return [];
+    }
+
+    return chatModels.map((m) => ({
+      name: m.id,
+      displayName: m.id,
+      available: true,
+      provider: {
+        id: "bedrock",
+        providerName: "Bedrock",
+        providerType: "bedrock",
+      },
+    }));
+  }
+}
+export { AWS };