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9eee529a7f
When context compression summarizes conversation history, the agent loses track of which files it already read and re-reads them in a loop. Users report the agent reading the same files endlessly without writing. Root cause: context compression is lossy — file contents and read history are lost in the summary. After compression, the model thinks it hasn't examined the files yet and reads them again. Fix (two-part): 1. Track file reads per task in file_tools.py. When the same file region is read again, include a _warning in the response telling the model to stop re-reading and use existing information. 2. After context compression, inject a structured message listing all files already read in the session with explicit "do NOT re-read" instruction, preserving read history across compression boundaries. Adds 16 tests covering warning detection, task isolation, summary accuracy, tracker cleanup, and compression history injection.