interact_with_process

                    Send input to a running process and automatically receive the response.
                    
                    CRITICAL: THIS IS THE PRIMARY TOOL FOR ALL LOCAL FILE ANALYSIS
                    For ANY local file analysis (CSV, JSON, data processing), ALWAYS use this instead of the analysis tool.
                    The analysis tool CANNOT access local files and WILL FAIL - use processes for ALL file-based work.
                    
                    FILE ANALYSIS PRIORITY ORDER (MANDATORY):
                    1. ALWAYS FIRST: Use this tool (start_process + interact_with_process) for local data analysis
                    2. ALTERNATIVE: Use command-line tools (cut, awk, grep) for quick processing  
                    3. NEVER EVER: Use analysis tool for local file access (IT WILL FAIL)
                    
                    REQUIRED INTERACTIVE WORKFLOW FOR FILE ANALYSIS:
                    1. Start REPL: start_process("python3 -i")
                    2. Load libraries: interact_with_process(pid, "import pandas as pd, numpy as np")
                    3. Read file: interact_with_process(pid, "df = pd.read_csv('/absolute/path/file.csv')")
                    4. Analyze: interact_with_process(pid, "print(df.describe())")
                    5. Continue: interact_with_process(pid, "df.groupby('column').size()")
                    
                    BINARY FILE PROCESSING WORKFLOWS:
                    Use appropriate Python libraries (PyPDF2, pandas, docx2txt, etc.) or command-line tools for binary file analysis.
                    
                    SMART DETECTION:
                    - Automatically waits for REPL prompt (>>>, >, etc.)
                    - Detects errors and completion states
                    - Early exit prevents timeout delays
                    - Clean output formatting (removes prompts)
                    
                    SUPPORTED REPLs:
                    - Python: python3 -i (RECOMMENDED for data analysis)
                    - Node.js: node -i
                    - R: R
                    - Julia: julia
                    - Shell: bash, zsh
                    - Database: mysql, postgres
                    
                    PARAMETERS:
                    - pid: Process ID from start_process
                    - input: Code/command to execute
                    - timeout_ms: Max wait (default: 8000ms)
                    - wait_for_prompt: Auto-wait for response (default: true)
                    - verbose_timing: Enable detailed performance telemetry (default: false)

                    Returns execution result with status indicators.

                    PERFORMANCE DEBUGGING (verbose_timing parameter):
                    Set verbose_timing: true to get detailed timing information including:
                    - Exit reason (early_exit_quick_pattern, early_exit_periodic_check, process_finished, timeout, no_wait)
                    - Total duration and time to first output
                    - Complete timeline of all output events with timestamps
                    - Which detection mechanism triggered early exit
                    Use this to identify slow interactions and optimize detection patterns.

                    ALWAYS USE FOR: CSV analysis, JSON processing, file statistics, data visualization prep, ANY local file work
                    NEVER USE ANALYSIS TOOL FOR: Local file access (it cannot read files from disk and WILL FAIL)

                    This command can be referenced as "DC: ..." or "use Desktop Commander to ..." in your instructions.