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Replace removeDuplicateUserMessages with a robust normalizeMessages pipeline that handles consecutive user/assistant messages, errored tool calls from debug sessions, and orphaned tool_use blocks without matching tool_results. The 3-pass pipeline (remove errored → remove orphans → merge consecutive) fixes malformed message sequences across all LLM connectors (Anthropic, Bedrock, GoogleAI, Groq, Ollama, OpenAI, Perplexity, xAI). Includes comprehensive unit tests. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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📝 Description
When interacting with the Chatbot, canceling a request can sometimes lead to malformed message history (e.g., multiple consecutive user messages). We need to normalize the message order before sending it to the LLM to prevent API errors.
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