Function vectorStoreLog

scripts/sparc2/src/vector/vectorStore.ts:99–145

(entry: LogEntry)

 * @param entry Log entry to store
 */
export async function vectorStoreLog(entry: LogEntry): Promise<void> {
  try {
    // If OpenAI client is not available, use mock implementation
    if (!openai) {
      console.debug("Vector store: Storing log entry (mock)", entry.message, entry.level);
      return;
    }

    // Ensure vector store is initialized
    const storeId = await initializeVectorStore();

    // Create a text file with the log entry
    const timestamp = new Date().toISOString();
    const content = `Log Entry (${timestamp})
Level: ${entry.level}
Message: ${entry.message}
Metadata: ${JSON.stringify(entry.metadata || {}, null, 2)}`;

    const file = new File(
      [content],
      `log-${Date.now()}.txt`,
      { type: "text/plain" },
    );

    // Upload the file to OpenAI
    const uploadedFile = await openai.files.create({
      file,
      purpose: "assistants",
    });

    // Add the file to the vector store
    await openai.vectorStores.files.create(storeId, {
      file_id: uploadedFile.id,
    });

    console.debug("Log entry stored in vector database", {
      timestamp: entry.timestamp,
      level: entry.level,
      message: entry.message.substring(0, 50) + (entry.message.length > 50 ? "..." : ""),
    });
  } catch (error: unknown) {
    console.debug("Failed to store log entry in vector database, using mock", {
      error: String(error),
    });
    console.debug("Vector store: Storing log entry (mock)", entry.message, entry.level);
  }
}

/**
 * Index a diff entry in the vector database