How To Check Your Story On Tik Tok

How To Check Your Story On Tik Tok

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Svg tick symbol choose shape free svg image icon svg silh Keep the LLM investigating when tools fail instead of giving up with a partial result. Grand Launch Font

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Check mark icon free stock photo public domain pictures When a shell command returns an error or a file operation hits a permission denial, the LLM tends to stop and apologize rather than trying a different approach. This produces incomplete results in agentic workflows where resilience matters. Some Financial Blog Photo

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Svg tick answer symbol vote free svg image icon svg silh Use the SDK's hooks system (on_post_tool_use, on_error_occurred) to classify tool results by category and append continuation instructions that nudge the LLM to keep going. Taking Applications Post Boutique

from enum import Enum class ToolResultCategory(str, Enum): SHELL_ERROR = "shell_error" PERMISSION_DENIED = "permission_denied" NORMAL = "normal" class SDKErrorCategory(str, Enum): CLIENT_ERROR = "client_error" # 4xx — not retryable TRANSIENT = "transient" # 5xx / timeout NON_RECOVERABLE = "non_recoverable" # Phrases that signal permission issues in tool output PERMISSION_DENIAL_PHRASES = [ "permission denied", "access denied", "not permitted", "operation not allowed", "eacces", "eperm", "403 forbidden", ] SHELL_ERROR_PHRASES = [ "command not found", "no such file or directory", "exit code", "errno", "traceback", ] CONTINUATION_MESSAGES = { ToolResultCategory.SHELL_ERROR: ( "\n\n[SYSTEM NOTE: This command encountered an error. " "This does NOT mean you should stop. Retry with different " "arguments, try a different tool, or move on.]" ), ToolResultCategory.PERMISSION_DENIED: ( "\n\n[SYSTEM NOTE: Permission was denied for this specific " "action. Continue using alternative approaches.]" ), } def classify_tool_result(tool_name: str, result_text: str) -> ToolResultCategory: result_lower = result_text.lower() if any(phrase in result_lower for phrase in PERMISSION_DENIAL_PHRASES): return ToolResultCategory.PERMISSION_DENIED if any(phrase in result_lower for phrase in SHELL_ERROR_PHRASES): return ToolResultCategory.SHELL_ERROR return ToolResultCategory.NORMAL def classify_sdk_error(error_msg: str, recoverable: bool) -> SDKErrorCategory: error_lower = error_msg.lower() if any(kw in error_lower for kw in ("timeout", "503", "502", "429", "retry")): return SDKErrorCategory.TRANSIENT if any(kw in error_lower for kw in ("401", "403", "404", "400", "422")): return SDKErrorCategory.CLIENT_ERROR return SDKErrorCategory.TRANSIENT if recoverable else SDKErrorCategory.NON_RECOVERABLE

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Checks definition investing dictionary u s news Wire the classifiers into the SDK's hook system: Email Marketing Infographic

def on_post_tool_use(input_data, env): """Append continuation hints to failed tool results.""" tool_name = input_data.get("toolName", "") result = str(input_data.get("toolResult", "")) category = classify_tool_result(tool_name, result) if category in CONTINUATION_MESSAGES: return {"toolResult": result + CONTINUATION_MESSAGES[category]} return None def on_error_occurred(input_data, env): """Retry transient errors, skip non-recoverable ones gracefully.""" error_msg = input_data.get("error", "") recoverable = input_data.get("recoverable", False) category = classify_sdk_error(error_msg, recoverable) if category == SDKErrorCategory.TRANSIENT: return {"errorHandling": "retry", "retryCount": 2} return { "errorHandling": "skip", "userNotification": "Error occurred — continuing investigation.", }

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• Tune the phrase lists for your domain — add patterns from your actual tool output.
• Log classified categories so you can track how often each failure mode fires and whether the LLM actually recovers.
• Cap continuation depth — if the same tool fails 3+ times in a row, let the LLM give up rather than looping.
• The SYSTEM NOTE framing works well because the LLM treats it as authoritative instruction rather than user commentary.

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