# Chat GPT and Klipper logs **URL:** \ **Category:** General Discussion\ **Created:** [October 2, 2025, 5:34am UTC](https://klipper.discourse.group/t/chat-gpt-and-klipper-logs/24945 "2025-10-02T05:34:46Z")\ **Posts on this page:** 3\ **Page:** 1
**Author:** ![Peurif](https://avatars.discourse-cdn.com/v4/letter/p/c57346/32.png) [@Peurif](https://klipper.discourse.group/u/Peurif)\ **Post date:** [October 2, 2025, 5:34am UTC](https://klipper.discourse.group/t/chat-gpt-and-klipper-logs/24945/1 "2025-10-02T05:34:46Z")
### Basic Information: Printer Model: Ratrig Vcore 3.1 MCU / Printerboard:Octopus Ez Host / SBC RPi4 [klippy.log](https://klipper.discourse.group/uploads/short-url/nJ9YCh19XXD0m8VL8X8Lu5cf50.log) (940.0 KB) klippy.log _Fill out above information and_ _ **in all cases attach your** _ **`klippy.log` _file_** (use zip to compress it, if too big). _Pasting your_ `printer.cfg` _is **not** needed_ _ **Be sure to check our “Knowledge Base” Category first. Most relevant items, e.g. error messages, are covered there** _ ### Describe your issue: Hi, It’s not an issue. I’ve always struggled to understand or see relevant information in Klipper logs, but I’ve just found a system that might be helpful, and I’m sharing it with anyone who might find it useful. I’ve used ChatGpt and a prompt I found online. The PROMT is this: > Analyze a Klipper 3D printer log file to identify errors, warnings, performance issues, and configuration anomalies. > > You will be provided with the content of a Klipper log file. Carefully parse the log to extract: > > - Any error messages and their context > > - Warning messages and potential causes > > - Performance details such as print time, temperature stability, and communication issues > > - Configuration inconsistencies or unusual entries > > Step-by-step approach: > > 1. Read through the entire log file carefully. > > 2. Identify and list all error messages with detailed information including timestamps and affected components. > > 3. Identify warnings and explain their possible impact. > > 4. Extract performance-related statistics or notable events. > > 5. Detect any configuration issues or anomalies that could affect printer operation. > > 6. Summarize findings, suggesting potential fixes or areas needing attention. > > Output Format:Provide the analysis as a structured report with these sections: > > - Summary: brief overview of overall log health > > - Errors: detailed list of errors with context > > - Warnings: detailed list of warnings > > - Performance notes: key statistics and insights > > - Configuration notes: issues or unusual entries > > - Recommendations: actionable advice based on the findings > > Use bullet points where appropriate and keep the analysis clear and concise. > > Ensure all information is based solely on the provided log content and reflects an accurate and thorough understanding of Klipper logs." and after a while he gave me this report: It’s possible, almost certainly, that someone has better “prompts” for analyzing the logs… What do you think about the use of AI? In what other aspects of 3D printing / Klipper can it be used? > # Summary > - The log shows a generally successful heating/mesh/printing session (extruder and bed reached targets and printing progressed), **but** the run is marred by repeated CAN/MCU communication problems (MCU `H36` timeouts / serial/CAN errors), several TMC driver GSTAT resets, receive-queue dumps / retransmits, and at least one printer shutdown / emergency stop. Evidence of the CAN/MCU issues and retransmits is abundant in the log. > > * * * > > # Errors (detailed) > > - **`serialhdl.error: mcu 'H36': Serial connection closed`** — repeated during MCU `H36` connection attempts; stack traces show `Timeout on connect` and failures inside `serialhdl.py`. This appears multiple times while Klipper tries to identify/connect the MCU. > > - **`Unable to open CAN port: Failed to transmit: [Errno 105] No buffer space available`** and **`Got error -1 in can write: (105)No buffer space available`** — the host attempted to open/write the CAN socket and the OS reported no buffer space; these errors coincide with the `H36` connect failures. > > - **High CAN retransmits for MCU `H36`** — e.g. `bytes_retransmit=41` and `retransmit_seq=896` showing that the host retried CAN frames for that MCU (Stats 142.5). That line shows an increased rto (=0.800) for `H36`, which indicates repeated timeouts / retransmissions. > > - **`Dumping send/receive queue` and `Dumping receive queue 100 messages`** — the log contains dumps of send/receive queues (showing many send/receive entries), indicating queue overflow / backlog at times. > > - **`Lost communication with MCU 'H36'` → `Printer is shutdown`** — at least one full loss-of-communication resulted in a shutdown and the log instructs to use `FIRMWARE_RESTART` after fixes. > > - **`MCU 'mcu' shutdown: Timer too close`** — indicates a host overload / timing problem was detected and led to a printer shutdown (the log explicitly suggests host overload causes). > > * * * > > # Warnings (and possible impact) > > - **TMC driver GSTAT resets** — multiple occurrences where stepper drivers report `GSTAT: 00000001 reset=1(Reset)` for `stepper_x`, `stepper_y`, `stepper_z`, `stepper_z1`, `stepper_z2`, and `extruder`. These transient resets can indicate driver errors, power glitches, or communications issues to the drivers (impact: missed steps, phase recalculation pauses, or short pauses in motion). > > - **Repeated small retransmit counts for the main MCU host (bytes\_retransmit=9 at many stats lines)** — consistent but low-level retransmits that may point to intermittent packet loss on the bus; combined with the H36 spikes, this suggests intermittent CAN reliability issues. > > - **Receive/send queue activity and dumps** — warnings that the CAN/serial subsystem experienced bursts that temporarily flooded buffers; these can cause delayed responses or timeouts. > > * * * > > # Performance notes > > - **Temperature behavior** > > - **Print progress & timing** > > - **Host/system load** > > - **CAN communication performance** > > * * * > > # Configuration notes / anomalies found in the log > > - **Large `max_extrude_ratio` value for the extruder** — the log shows `Extruder max_extrude_ratio=2078.758440`. That number is unusually large and could indicate a mis-configured steps/mm, incorrect filament diameter/volumetric settings, or a copy/paste error in the config (impact: incorrect extrusion scaling or unexpected extrusion behavior). > > - **MCU temperature calibration values appear unusual for `H36`** — the line `mcu_temperature 'H36' nominal base=-260.625000 slope=1279.687500` suggests an odd calibration (negative base and large slope) for MCU temp reporting; verify sensor calibration/type. This could be a conversion/scaling mismatch. > > - **MCU config update attempted when MCU is shutdown** — errors `Can not update MCU 'mcu' config as it is shutdown` occurred while trying to connect/configure MCUs; indicates the host tried to send config during an MCU shutdown state. Ensure MCUs are online before config updates. > > > Note: I did **not** find a safe, well-cited line in the available search snippets for an exact `min_temp = -273.15` value — if you believe that parameter is present in your printer config, point me to the file or I can scan the raw log again to find the exact line. (I prioritized the anomalies that appear in the log snippets I indexed above.) > > * * * > > # Recommendations (actionable) > > 1. **Fix CAN/MCU buffer/socket issues** > > 2. **Reduce CAN bus burst / traffic (or increase buffering)** > > 3. **Address the `H36` connection/retransmit problem** > > 4. **Investigate TMC GSTAT resets** > > 5. **Review configuration anomalies** > > 6. **After fixes — restart the firmware** > > * * * > > If you want, I can: > > - Extract **every** error/warning line with its surrounding 3–5 lines and timestamps (so you can see the exact sequence), or > > - Produce a short checklist (wiring, power, firmware versions, CAN termination, kernel buffer settings) tailored to the findings. > > Tell me which follow-up you’d prefer and I’ll produce the detailed list immediately (no waiting). … ---
**Author:** ![3dcoded](https://yyz2.discourse-cdn.com/free1/user_avatar/klipper.discourse.group/3dcoded/32/20297_2.png) [@3dcoded](https://klipper.discourse.group/u/3dcoded)\ **Post date:** [October 2, 2025, 11:45am UTC](https://klipper.discourse.group/t/chat-gpt-and-klipper-logs/24945/2 "2025-10-02T11:45:31Z")
Hi @Peurif , That’s interesting. I have experimented with using GPT before to create Klipper configurations, but in the end it created parameters that didn’t exist and ultimately led to a badly broken config. Analyzing logs is a use case I hadn’t thought of. I think the main thing to keep in mind is AI can (and does) make mistakes, so I would refer to the Klipper Docs ([G-Codes](https://www.klipper3d.org/G-Codes.html), [Config Reference](https://www.klipper3d.org/Config_Reference.html), and [Status Reference](https://www.klipper3d.org/Status_Reference.html)) before making changes. @Sineos also made a couple really nice log analyzers: > [@Klipper Log Visualizer](https://klipper.discourse.group/t/klipper-log-visualizer/24281): > > I have published a complete rewrite of the Klipper log graphing tool: Updated parser to hopefully now catch all edge cases that had been causing weird jumps in the timeline. Improved session management. Synchronized Zoom – this means when one graph is zoomed, all other graphs will follow. Note: On big logs this can be a major performance hog, as all graphs need to be fully recalculated. Best used with session filtering to concentrate on the data of interest. Just to get a feeling: A 10 - 12 M… > [@Klipper Advanced Log Inspector](https://klipper.discourse.group/t/klipper-advanced-log-inspector/24413): > > Klipper offers the [logextract.py](https://github.com/Klipper3d/klipper/blob/master/scripts/logextract.py) tool, which can be used for advanced log analysis: It extracts Klipper shutdown information It orders log lines created by the shutdown chronologically It adds advanced, raw UART messages sent to/from the MCU into readable TMC register accesses It is mainly thought of as a debug aid, but for the interested and advanced klippy.log reader, it has some merits as well: It splits large logs and extracts only shutdowns It extracts configs I have created a web app… ---
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/klipper/original/1X/64419bf2aac6639e6ef5cef200dcd456b0a01ac3.png) [@system](https://klipper.discourse.group/u/system)\ **Post date:** [December 1, 2025, 11:45am UTC](https://klipper.discourse.group/t/chat-gpt-and-klipper-logs/24945/3 "2025-12-01T11:45:41Z")
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