feat(hooks): add anthropic-auto-compact hook

🤖 GENERATED WITH ASSISTANCE OF [OhMyOpenCode](https://github.com/code-yeongyu/oh-my-opencode)

src/hooks/anthropic-auto-compact/parser.ts

@@ -0,0 +1,154 @@
+import type { ParsedTokenLimitError } from "./types"
+
+interface AnthropicErrorData {
+  type: "error"
+  error: {
+    type: string
+    message: string
+  }
+  request_id?: string
+}
+
+const TOKEN_LIMIT_PATTERNS = [
+  /(\d+)\s*tokens?\s*>\s*(\d+)\s*maximum/i,
+  /prompt.*?(\d+).*?tokens.*?exceeds.*?(\d+)/i,
+  /(\d+).*?tokens.*?limit.*?(\d+)/i,
+  /context.*?length.*?(\d+).*?maximum.*?(\d+)/i,
+  /max.*?context.*?(\d+).*?but.*?(\d+)/i,
+]
+
+const TOKEN_LIMIT_KEYWORDS = [
+  "prompt is too long",
+  "is too long",
+  "context_length_exceeded",
+  "max_tokens",
+  "token limit",
+  "context length",
+  "too many tokens",
+]
+
+function extractTokensFromMessage(message: string): { current: number; max: number } | null {
+  for (const pattern of TOKEN_LIMIT_PATTERNS) {
+    const match = message.match(pattern)
+    if (match) {
+      const num1 = parseInt(match[1], 10)
+      const num2 = parseInt(match[2], 10)
+      return num1 > num2 ? { current: num1, max: num2 } : { current: num2, max: num1 }
+    }
+  }
+  return null
+}
+
+function isTokenLimitError(text: string): boolean {
+  const lower = text.toLowerCase()
+  return TOKEN_LIMIT_KEYWORDS.some((kw) => lower.includes(kw.toLowerCase()))
+}
+
+export function parseAnthropicTokenLimitError(err: unknown): ParsedTokenLimitError | null {
+  if (typeof err === "string") {
+    if (isTokenLimitError(err)) {
+      const tokens = extractTokensFromMessage(err)
+      return {
+        currentTokens: tokens?.current ?? 0,
+        maxTokens: tokens?.max ?? 0,
+        errorType: "token_limit_exceeded_string",
+      }
+    }
+    return null
+  }
+
+  if (!err || typeof err !== "object") return null
+
+  const errObj = err as Record<string, unknown>
+
+  const dataObj = errObj.data as Record<string, unknown> | undefined
+  const responseBody = dataObj?.responseBody
+  const errorMessage = errObj.message as string | undefined
+  const errorData = errObj.error as Record<string, unknown> | undefined
+  const nestedError = errorData?.error as Record<string, unknown> | undefined
+
+  const textSources: string[] = []
+
+  if (typeof responseBody === "string") textSources.push(responseBody)
+  if (typeof errorMessage === "string") textSources.push(errorMessage)
+  if (typeof errorData?.message === "string") textSources.push(errorData.message as string)
+  if (typeof errObj.body === "string") textSources.push(errObj.body as string)
+  if (typeof errObj.details === "string") textSources.push(errObj.details as string)
+  if (typeof errObj.reason === "string") textSources.push(errObj.reason as string)
+  if (typeof errObj.description === "string") textSources.push(errObj.description as string)
+  if (typeof nestedError?.message === "string") textSources.push(nestedError.message as string)
+  if (typeof dataObj?.message === "string") textSources.push(dataObj.message as string)
+  if (typeof dataObj?.error === "string") textSources.push(dataObj.error as string)
+
+  if (textSources.length === 0) {
+    try {
+      const jsonStr = JSON.stringify(errObj)
+      if (isTokenLimitError(jsonStr)) {
+        textSources.push(jsonStr)
+      }
+    } catch {}
+  }
+
+  const combinedText = textSources.join(" ")
+  if (!isTokenLimitError(combinedText)) return null
+
+  if (typeof responseBody === "string") {
+    try {
+      const jsonPatterns = [
+        /data:\s*(\{[\s\S]*?\})\s*$/m,
+        /(\{"type"\s*:\s*"error"[\s\S]*?\})/,
+        /(\{[\s\S]*?"error"[\s\S]*?\})/,
+      ]
+
+      for (const pattern of jsonPatterns) {
+        const dataMatch = responseBody.match(pattern)
+        if (dataMatch) {
+          try {
+            const jsonData: AnthropicErrorData = JSON.parse(dataMatch[1])
+            const message = jsonData.error?.message || ""
+            const tokens = extractTokensFromMessage(message)
+
+            if (tokens) {
+              return {
+                currentTokens: tokens.current,
+                maxTokens: tokens.max,
+                requestId: jsonData.request_id,
+                errorType: jsonData.error?.type || "token_limit_exceeded",
+              }
+            }
+          } catch {}
+        }
+      }
+
+      const bedrockJson = JSON.parse(responseBody)
+      if (typeof bedrockJson.message === "string" && isTokenLimitError(bedrockJson.message)) {
+        return {
+          currentTokens: 0,
+          maxTokens: 0,
+          errorType: "bedrock_input_too_long",
+        }
+      }
+    } catch {}
+  }
+
+  for (const text of textSources) {
+    const tokens = extractTokensFromMessage(text)
+    if (tokens) {
+      return {
+        currentTokens: tokens.current,
+        maxTokens: tokens.max,
+        errorType: "token_limit_exceeded",
+      }
+    }
+  }
+
+  if (isTokenLimitError(combinedText)) {
+    return {
+      currentTokens: 0,
+      maxTokens: 0,
+      errorType: "token_limit_exceeded_unknown",
+    }
+  }
+
+  return null
+}