Update jsconfig.json and package.json to correct open-sse path references from relative to local directory.

open-sse/utils/bypassHandler.js

@@ -0,0 +1,266 @@
+import { detectFormat } from "../services/provider.js";
+import { translateResponse, initState } from "../translator/index.js";
+import { FORMATS } from "../translator/formats.js";
+import { SKIP_PATTERNS } from "../config/constants.js";
+import { formatSSE } from "./stream.js";
+
+/**
+ * Check for bypass patterns (warmup, skip) - return fake response without calling provider
+ * Supports both streaming and non-streaming responses
+ * Returns response in the correct sourceFormat using translator
+ * 
+ * @param {object} body - Request body
+ * @param {string} model - Model name
+ * @returns {object|null} { success: true, response: Response } or null if not bypass
+ */
+export function handleBypassRequest(body, model) {
+  const messages = body.messages;
+  if (!messages?.length) return null;
+
+  // Helper to extract text from content
+  const getText = (content) => {
+    if (typeof content === "string") return content;
+    if (Array.isArray(content)) {
+      return content.filter(c => c.type === "text").map(c => c.text).join(" ");
+    }
+    return "";
+  };
+
+  let shouldBypass = false;
+
+  // Check warmup: first message "Warmup"
+  const firstText = getText(messages[0]?.content);
+  if (firstText === "Warmup") shouldBypass = true;
+
+  // Check count pattern: [{"role":"user","content":"count"}]
+  if (!shouldBypass && 
+      messages.length === 1 && 
+      messages[0]?.role === "user" && 
+      firstText === "count") {
+    shouldBypass = true;
+  }
+
+  // Check skip patterns
+  if (!shouldBypass && SKIP_PATTERNS?.length) {
+    const allText = messages.map(m => getText(m.content)).join(" ");
+    shouldBypass = SKIP_PATTERNS.some(p => allText.includes(p));
+  }
+
+  if (!shouldBypass) return null;
+
+  // Detect source format and stream mode
+  const sourceFormat = detectFormat(body);
+  const stream = body.stream !== false;
+
+  // Create bypass response using translator
+  if (stream) {
+    return createStreamingResponse(sourceFormat, model);
+  } else {
+    return createNonStreamingResponse(sourceFormat, model);
+  }
+}
+
+/**
+ * Create OpenAI standard format response
+ */
+function createOpenAIResponse(model) {
+  const id = `chatcmpl-${Date.now()}`;
+  const created = Math.floor(Date.now() / 1000);
+  const text = "CLI Command Execution: Clear Terminal";
+
+  return {
+    id,
+    object: "chat.completion",
+    created,
+    model,
+    choices: [{
+      index: 0,
+      message: {
+        role: "assistant",
+        content: text
+      },
+      finish_reason: "stop"
+    }],
+    usage: {
+      prompt_tokens: 1,
+      completion_tokens: 1,
+      total_tokens: 2
+    }
+  };
+}
+
+/**
+ * Create non-streaming response with translation
+ * Use translator to convert OpenAI → sourceFormat
+ */
+function createNonStreamingResponse(sourceFormat, model) {
+  const openaiResponse = createOpenAIResponse(model);
+  
+  // If sourceFormat is OpenAI, return directly
+  if (sourceFormat === FORMATS.OPENAI) {
+    return {
+      success: true,
+      response: new Response(JSON.stringify(openaiResponse), {
+        headers: {
+          "Content-Type": "application/json",
+          "Access-Control-Allow-Origin": "*"
+        }
+      })
+    };
+  }
+
+  // Use translator to convert: simulate streaming then collect all chunks
+  const state = initState(sourceFormat);
+  state.model = model;
+  
+  const openaiChunks = createOpenAIStreamingChunks(openaiResponse);
+  const allTranslated = [];
+  
+  for (const chunk of openaiChunks) {
+    const translated = translateResponse(FORMATS.OPENAI, sourceFormat, chunk, state);
+    if (translated?.length > 0) {
+      allTranslated.push(...translated);
+    }
+  }
+  
+  // Flush remaining
+  const flushed = translateResponse(FORMATS.OPENAI, sourceFormat, null, state);
+  if (flushed?.length > 0) {
+    allTranslated.push(...flushed);
+  }
+  
+  // For non-streaming, merge all chunks into final response
+  const finalResponse = mergeChunksToResponse(allTranslated, sourceFormat);
+  
+  return {
+    success: true,
+    response: new Response(JSON.stringify(finalResponse), {
+      headers: {
+        "Content-Type": "application/json",
+        "Access-Control-Allow-Origin": "*"
+      }
+    })
+  };
+}
+
+/**
+ * Create streaming response with translation
+ * Use translator to convert OpenAI chunks → sourceFormat
+ */
+function createStreamingResponse(sourceFormat, model) {
+  const openaiResponse = createOpenAIResponse(model);
+  const state = initState(sourceFormat);
+  state.model = model;
+
+  // Create OpenAI streaming chunks
+  const openaiChunks = createOpenAIStreamingChunks(openaiResponse);
+
+  // Translate each chunk to sourceFormat using translator
+  const translatedChunks = [];
+  
+  for (const chunk of openaiChunks) {
+    const translated = translateResponse(FORMATS.OPENAI, sourceFormat, chunk, state);
+    if (translated?.length > 0) {
+      for (const item of translated) {
+        translatedChunks.push(formatSSE(item, sourceFormat));
+      }
+    }
+  }
+
+  // Flush remaining events
+  const flushed = translateResponse(FORMATS.OPENAI, sourceFormat, null, state);
+  if (flushed?.length > 0) {
+    for (const item of flushed) {
+      translatedChunks.push(formatSSE(item, sourceFormat));
+    }
+  }
+
+  // Add [DONE]
+  translatedChunks.push("data: [DONE]\n\n");
+
+  return {
+    success: true,
+    response: new Response(translatedChunks.join(""), {
+      headers: {
+        "Content-Type": "text/event-stream",
+        "Cache-Control": "no-cache",
+        "Connection": "keep-alive",
+        "Access-Control-Allow-Origin": "*"
+      }
+    })
+  };
+}
+
+/**
+ * Merge translated chunks into final response object (for non-streaming)
+ * Takes the last complete chunk as the final response
+ */
+function mergeChunksToResponse(chunks, sourceFormat) {
+  if (!chunks || chunks.length === 0) {
+    return createOpenAIResponse("unknown");
+  }
+  
+  // For most formats, the last chunk before done contains the complete response
+  // Find the most complete chunk (usually the last one with content)
+  let finalChunk = chunks[chunks.length - 1];
+  
+  // For Claude format, find the message_stop or final message
+  if (sourceFormat === FORMATS.CLAUDE) {
+    const messageStop = chunks.find(c => c.type === "message_stop");
+    if (messageStop) {
+      // Reconstruct complete message from chunks
+      const contentDelta = chunks.find(c => c.type === "content_block_delta");
+      const messageDelta = chunks.find(c => c.type === "message_delta");
+      const messageStart = chunks.find(c => c.type === "message_start");
+      
+      if (messageStart?.message) {
+        finalChunk = messageStart.message;
+        // Merge usage if available
+        if (messageDelta?.usage) {
+          finalChunk.usage = messageDelta.usage;
+        }
+      }
+    }
+  }
+  
+  return finalChunk;
+}
+
+/**
+ * Create OpenAI streaming chunks from complete response
+ */
+function createOpenAIStreamingChunks(completeResponse) {
+  const { id, created, model, choices } = completeResponse;
+  const content = choices[0].message.content;
+
+  return [
+    // Chunk with content
+    {
+      id,
+      object: "chat.completion.chunk",
+      created,
+      model,
+      choices: [{
+        index: 0,
+        delta: {
+          role: "assistant",
+          content
+        },
+        finish_reason: null
+      }]
+    },
+    // Final chunk with finish_reason
+    {
+      id,
+      object: "chat.completion.chunk",
+      created,
+      model,
+      choices: [{
+        index: 0,
+        delta: {},
+        finish_reason: "stop"
+      }],
+      usage: completeResponse.usage
+    }
+  ];
+}