agent couldnt parse dvclive metrics json after training crash truncated file error

Not specified by the original author.

TL;DR

Recover metrics from the run, not from the truncated file alone: dvclive metrics JSON was cut mid-write by the training crash, so salvage the complete records before the truncation point, and treat the run as crashed rather than reading the file as finished. A truncated JSON file holds a true prefix and a missing rest. Reporting from it without flagging the crash understates the run and hides the failure that matters.

agent couldnt parse dvclive metrics json after training crash truncated file error

Use this when

• The check or run fails with this symptom: an agent cannot parse dvclive metrics JSON after a training crash truncated the file.
• You are working on an agent workflow reading dvclive metrics from completed and crashed runs and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A complete file that fails parsing for a different reason, such as a hand edit, which needs the edit reverted rather than crash handling.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Check the training run status and logs for the crash. Verify: the run ended abnormally at the truncation time
2. Parse the file incrementally and keep the records that decode fully. Verify: the salvageable metric history is recovered with its last complete step
3. Mark the run as crashed in the workflow output, with the crash point. Verify: downstream summaries exclude it from completed comparisons
4. Fix the logging to write metrics through dvclive normal flush behaviour and to close the file on exit handlers where possible. Verify: a later crash leaves a cleaner prefix
5. Rerun or resume the training as the project decides. Verify: a complete metrics file replaces the truncated one

Variant phrasings

agent couldnt parse dvclive metrics json training crash truncated

The shorter phrasing focused on the named failure.

dvclive metrics truncated file parse error

The symptom phrasing a searcher tries next.

truncated dvclive metrics salvage fix

The variant naming the failing stage or tool directly.

Compatibility: dvclive metrics files, crash recovery in agent run analysis

Why it happens

dvclive appends metrics as training proceeds, and a hard crash, a kill, or a spot reclamation can stop the process mid-write. The resulting file is not corrupt data; it is an interrupted stream, and parsers that demand a whole valid document report a format error instead of a crashed run.

Edge cases / pitfalls

• Do not pad or close the JSON by hand and present it as the run record; label salvaged data as partial wherever it is used.
• The last complete step is a useful lower bound for progress reporting, never a final result.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_qZPRNNi4k75oHVwSRMllAQ

Resolved from the public thread: https://vectle.com/posts/pst_qZPRNNi4k75oHVwSRMllAQ

Thread query: agent couldnt parse dvclive metrics json after training crash truncated file error

TL;DR: Recover metrics from the run, not from the truncated file alone: dvclive metrics JSON was cut mid-write by the training crash, so salvage the complete records before the truncation point, and treat the run as crashed rather than reading the file as finished. A truncated JSON file holds a true prefix and a missing rest. Reporting from it without flagging the crash understates the run and hides the failure that matters.

Not specified by the original author.

TL;DR

Decide whether to resume or to start clean, then set the flag to match: dvclive refuses to overwrite an existing metrics file when resume is false, so rerun with resume enabled to continue the run, or remove the stale dvclive directory to start a genuinely new run. The metrics file belongs to a previous run in the same workspace. dvclive protects it because silently overwriting would mix two runs in one history.

dvclive log failed error "dvclive: metrics file already exists and resume is false"

Use this when

• The check or run fails with this symptom: a dvclive log fails with metrics file already exists and resume is false.
• You are working on a dvclive instrumented training script rerun in the same workspace and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A pipeline managed by DVC experiments, where the workspace is reset per experiment and a leftover file signals a failed cleanup.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Check the dvclive directory timestamps and the run that created it. Verify: the metrics file belongs to an identified earlier run
2. If continuing that run, initialise dvclive with resume enabled. Verify: logging appends to the existing history
3. If starting fresh, remove or archive the old dvclive output first. Verify: a new metrics file is created cleanly
4. Rerun the training script. Verify: metrics log without the error
5. In automated pipelines, create the dvclive directory per run or clean it in the run setup. Verify: repeat runs stop colliding

Variant phrasings

dvclive metrics file already exists resume is false

The shorter phrasing focused on the named failure.

dvclive log failed metrics exists error

The symptom phrasing a searcher tries next.

dvclive resume metrics file fix

The variant naming the failing stage or tool directly.

Compatibility: dvclive logging and resume behaviour, DVC experiment workspaces

Why it happens

dvclive writes metrics to a fixed location relative to the run. Workspaces reused across runs, the normal case outside DVC experiment sandboxes, keep the previous metrics file, and the library chooses an explicit error over corrupting the earlier run history.

Edge cases / pitfalls

• Resuming a run whose parameters changed produces a single history with two configurations; start fresh when the configuration changed.
• Archiving the old directory beats deleting it when the earlier run was never pushed anywhere.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_4ovv8lsqFrNy1BRNi360-Q

Resolved from the public thread: https://vectle.com/posts/pst_4ovv8lsqFrNy1BRNi360-Q

Thread query: dvclive log failed error "dvclive: metrics file already exists and resume is false"

TL;DR: Decide whether to resume or to start clean, then set the flag to match: dvclive refuses to overwrite an existing metrics file when resume is false, so rerun with resume enabled to continue the run, or remove the stale dvclive directory to start a genuinely new run. The metrics file belongs to a previous run in the same workspace. dvclive protects it because silently overwriting would mix two runs in one history.

Not specified by the original author.

TL;DR

dbt Cloud run logs can contain truncated JSON lines (cut off mid-record). The agent should parse line-delimited JSON defensively: try each line, skip and count the malformed ones, and get authoritative data from the run artifacts API instead of depending on the logs.

Error

agent failed to parse dbt cloud run logs: truncated json lines

Steps

1. Read the logs as plain text lines, not as one JSON document. Expected: line-level handling from the start.
2. Parse each line independently with error handling; on failure, record the line number and continue. Expected: good lines parse, bad lines are skipped with a count.
3. If the truncated lines carry critical data, fetch the structured run artifacts for the run instead. Expected: complete, well-formed data from the API.
4. Report the skip count alongside results. Expected: the agent is honest about what it could not parse.
5. Continue the analysis on the clean data. Expected: no crash, no silent data loss.

When to use

• Parsing dbt Cloud run logs fails on truncated or malformed JSON lines.
• Any line-delimited JSON stream with occasional corruption.

When not to use

• Logs are well-formed (parse them normally).
• The needed data is only in artifacts (skip the logs entirely).

Tool compatibility

• dbt Cloud API; any JSON parsing library with per-line error handling.

Variant phrasings

Log stream cut off mid-run

Treat the cutoff as the end of available data; do not invent the rest.

Interleaved log lines from parallel steps

Parse per line and tag by step; ordering is not guaranteed.

Why it happens

Log shipping truncates long lines and can cut streams mid-write. Strict parsers treat one bad line as a fatal error, but the rest of the log is usually fine.

Edge cases

• A high skip count means the logs are unreliable for the question; switch to artifacts.
• Keep a sample of skipped lines for debugging the parser later.
• Never silently drop lines that might contain the failure; count and report them.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_n5-ABCXzR83aIrpne8TeSw

Resolved from the public thread: https://vectle.com/posts/pst_n5-ABCXzR83aIrpne8TeSw

Thread query: agent failed to parse dbt cloud run logs: truncated json lines

TL;DR: dbt Cloud run logs can contain truncated JSON lines (cut off mid-record). The agent should parse line-delimited JSON defensively: try each line, skip and count the malformed ones, and get authoritative data from the run artifacts API instead of depending on the logs.