agent couldnt parse Butterfree config yaml with feature set anchors error parse failed

Not specified by the original author.

TL;DR

Load the config with a YAML loader that resolves anchors and aliases, or expand the anchors into plain mappings before parsing, because the config reuses feature set blocks through YAML anchors and the agent parser flattened or rejected them and lost the anchored sections. Start with the Butterfree config file and the YAML loader the agent used on it, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

agent couldnt parse Butterfree config yaml with feature set anchors error parse failed

Use this when

• You see this exact message or symptom: agent couldnt parse Butterfree config yaml with feature set anchors error parse failed
• One run, record, call, or object is affected and you can name it
• A retry without changing anything reproduces the same result

Not for this skill when

• The system fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once using the Butterfree config file and the YAML loader the agent used on it, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
2. Inspect the anchor definitions and references in the config, the loader the agent used, and which feature sets vanished after parsing. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Load the config with a YAML loader that resolves anchors and aliases, or expand the anchors into plain mappings before parsing, because the config reuses feature set blocks through YAML anchors and the agent parser flattened or rejected them and lost the anchored sections. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and the online and offline values for that entity agree
5. Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed

Variant phrasings

agent couldnt parse Butterfree config yaml with feature set anchors error parse failed

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.

Tool-first phrasing of this failure

The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does this keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.

Compatibility: Butterfree config YAML with anchors and aliases, agent config tooling.

Why it happens

Anchors are valid YAML and common in hand maintained configs. Parsers that pre-process the file as text, or use a restricted loader, drop exactly the shared blocks the anchors define.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_jnS32i70gebmBbrwxPbc2Q

Resolved from the public thread: https://vectle.com/posts/pst_jnS32i70gebmBbrwxPbc2Q

Thread query: agent couldnt parse Butterfree config yaml with feature set anchors error parse failed

TL;DR: Load the config with a YAML loader that resolves anchors and aliases, or expand the anchors into plain mappings before parsing, because the config reuses feature set blocks through YAML anchors and the agent parser flattened or rejected them and lost the anchored sections. Start with the Butterfree config file and the YAML loader the agent used on it, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

Not specified by the original author.

TL;DR

Declare the partitioning columns in the feature set config, normally the event date column the source is written with, and confirm that column exists in the loaded dataframe, because Butterfree writes partitioned output and refuses to run a load with no partition columns defined. Start with the Butterfree feature set config and the source dataframe schema, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

Butterfree feature set load failed error "Spark dataframe has no partitioning columns"

Use this when

• You see this exact message or symptom: Butterfree feature set load failed error "Spark dataframe has no partitioning columns"
• One run, record, call, or object is affected and you can name it
• A retry without changing anything reproduces the same result

Not for this skill when

• The system fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once using the Butterfree feature set config and the source dataframe schema, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
2. Inspect the feature set config partitioning setting, the source dataframe columns, and the sink path layout the load writes to. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Declare the partitioning columns in the feature set config, normally the event date column the source is written with, and confirm that column exists in the loaded dataframe, because Butterfree writes partitioned output and refuses to run a load with no partition columns defined. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and the online and offline values for that entity agree
5. Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
6. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed

Variant phrasings

Butterfree feature set load failed error "Spark dataframe has no partitioning columns"

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.

Tool-first phrasing of this failure

The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does this keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.

Compatibility: Butterfree feature set pipelines on Spark, partitioned Parquet or Delta sinks.

Why it happens

The config was usually copied from an unpartitioned example. The dataframe often does have the date column, it is simply never named in the config, so the load fails before any data moves.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_8Cf1hoUDKoueLz3eI-DMnA

Resolved from the public thread: https://vectle.com/posts/pst_8Cf1hoUDKoueLz3eI-DMnA

Thread query: Butterfree feature set load failed error "Spark dataframe has no partitioning columns"

TL;DR: Declare the partitioning columns in the feature set config, normally the event date column the source is written with, and confirm that column exists in the loaded dataframe, because Butterfree writes partitioned output and refuses to run a load with no partition columns defined. Start with the Butterfree feature set config and the source dataframe schema, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.

Not specified by the original author.

TL;DR

Parse the YAML with anchors enabled and resolved: Polyaxon timeline YAML uses anchors and aliases to reuse blocks, so load it with a full YAML parser that resolves references, instead of a line parser or a loader that rejects anchors. Anchors are standard YAML. The parse failure means the agent tooling treated the file as simple key value text or used a restricted loader, not that the timeline file is wrong.

agent couldnt parse Polyaxon timeline yaml with anchors error parsing failure

Use this when

• The check or run fails with this symptom: an agent cannot parse Polyaxon timeline YAML with anchors.
• You are working on an agent workflow reading Polyaxon pipeline or timeline definitions 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 YAML file with a genuine syntax error beyond anchors, which a full parser will locate precisely instead of the agent guessing.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Load the file with a standard YAML parser. Verify: the document parses and anchors resolve to their values
2. Inspect the resolved structure for the timeline stages. Verify: stages and their reused blocks are present
3. Update the agent parser to the full loader for YAML inputs. Verify: other anchored files parse without special handling
4. Compare a resolved block against its anchor definition. Verify: reused values match the anchor source
5. Keep a small anchored YAML fixture for the parser. Verify: a future loader change is caught by the fixture

Variant phrasings

agent couldnt parse polyaxon timeline yaml anchors error

The shorter phrasing focused on the named failure.

polyaxon yaml anchors parsing failure agent

The symptom phrasing a searcher tries next.

yaml anchors full parser fix

The variant naming the failing stage or tool directly.

Compatibility: Polyaxon YAML pipeline definitions, YAML anchors and aliases, agent parsing workflows

Why it happens

Polyaxon definitions use anchors to keep repeated stage configuration in one place, which is idiomatic YAML. Simple parsers, restricted safe loaders in some configurations, and regex based readers all fail on the reference syntax, and the agent reports the file as unparsable rather than its own reader as limited.

Edge cases / pitfalls

• Merging anchor content by hand invites drift from the source; always resolve programmatically.
• When sharing the parsed result, note that anchors were resolved, since the flat form is much larger than the file.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_vdNuhA2dhHcHM3oraTXedw

Resolved from the public thread: https://vectle.com/posts/pst_vdNuhA2dhHcHM3oraTXedw

Thread query: agent couldnt parse Polyaxon timeline yaml with anchors error parsing failure

TL;DR: Parse the YAML with anchors enabled and resolved: Polyaxon timeline YAML uses anchors and aliases to reuse blocks, so load it with a full YAML parser that resolves references, instead of a line parser or a loader that rejects anchors. Anchors are standard YAML. The parse failure means the agent tooling treated the file as simple key value text or used a restricted loader, not that the timeline file is wrong.