**Refactor:** Restructure server package to streamline imports and improve file organization

- Moved `providers`, `services`, `models`, `lib`, and related files to `src` directory within `server` package.
- Adjusted imports across the codebase to reflect the new paths.
- Renamed several `.ts` files for consistency.
- Introduced an `index.ts` in the `ai/providers` package to export all providers.

This improves maintainability and aligns with the project's updated directory structure.

packages/ai/providers/openai.ts

@@ -0,0 +1,118 @@
+import { Utils } from '@open-gsio/server/src/lib/utils.ts';
+import { OpenAI } from 'openai';
+import { ChatCompletionCreateParamsStreaming } from 'openai/resources/chat/completions/completions';
+
+import { BaseChatProvider, CommonProviderParams } from './chat-stream-provider.ts';
+
+export class OpenAiChatProvider extends BaseChatProvider {
+  getOpenAIClient(param: CommonProviderParams): OpenAI {
+    return param.openai as OpenAI;
+  }
+
+  getStreamParams(
+    param: CommonProviderParams,
+    safeMessages: any[],
+  ): ChatCompletionCreateParamsStreaming {
+    const isO1 = () => {
+      if (param.model === 'o1-preview' || param.model === 'o1-mini') {
+        return true;
+      }
+    };
+
+    const tuningParams: Record<string, any> = {};
+
+    const gpt4oTuningParams = {
+      temperature: 0.86,
+      top_p: 0.98,
+      presence_penalty: 0.1,
+      frequency_penalty: 0.3,
+      max_tokens: param.maxTokens as number,
+    };
+
+    const getTuningParams = () => {
+      if (isO1()) {
+        tuningParams['temperature'] = 1;
+        tuningParams['max_completion_tokens'] = (param.maxTokens as number) + 10000;
+        return tuningParams;
+      }
+      return gpt4oTuningParams;
+    };
+
+    let completionRequest: ChatCompletionCreateParamsStreaming = {
+      model: param.model,
+      stream: true,
+      messages: safeMessages,
+    };
+
+    const client = this.getOpenAIClient(param);
+    const isLocal = client.baseURL.includes('localhost');
+
+    if (isLocal) {
+      completionRequest['messages'] = Utils.normalizeWithBlanks(safeMessages);
+      completionRequest['stream_options'] = {
+        include_usage: true,
+      };
+    } else {
+      completionRequest = { ...completionRequest, ...getTuningParams() };
+    }
+
+    return completionRequest;
+  }
+
+  async processChunk(chunk: any, dataCallback: (data: any) => void): Promise<boolean> {
+    const isLocal = chunk.usage !== undefined;
+
+    if (isLocal && chunk.usage) {
+      dataCallback({
+        type: 'chat',
+        data: {
+          choices: [
+            {
+              delta: { content: '' },
+              logprobs: null,
+              finish_reason: 'stop',
+            },
+          ],
+        },
+      });
+      return true; // Break the stream
+    }
+
+    dataCallback({ type: 'chat', data: chunk });
+    return false; // Continue the stream
+  }
+}
+
+// Legacy class for backward compatibility
+export class OpenAiChatSdk {
+  private static provider = new OpenAiChatProvider();
+
+  static async handleOpenAiStream(
+    ctx: {
+      openai: OpenAI;
+      systemPrompt: any;
+      preprocessedContext: any;
+      maxTokens: unknown | number | undefined;
+      messages: any;
+      model: any;
+    },
+    dataCallback: (data: any) => any,
+  ) {
+    if (!ctx.messages?.length) {
+      return new Response('No messages provided', { status: 400 });
+    }
+
+    return this.provider.handleStream(
+      {
+        openai: ctx.openai,
+        systemPrompt: ctx.systemPrompt,
+        preprocessedContext: ctx.preprocessedContext,
+        maxTokens: ctx.maxTokens,
+        messages: ctx.messages,
+        model: ctx.model,
+        env: {} as Env, // This is not used in OpenAI provider
+      },
+      dataCallback,
+    );
+  }
+}