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OTA-2070: Return per-operator verdicts from olm-check#43

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OTA-2070: Return per-operator verdicts from olm-check#43
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jrangelramos:fix/olm-check-per-operator-verdicts

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@jrangelramos jrangelramos commented Jul 24, 2026 •
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Summary

  • Refactor olm-check to return one result per operator with a single
    error string field (present = failure, absent = success) instead of
    dumping all version entries for matched packages
  • Add optional version field to operator input for per-version matching
  • Add version normalization (v1.9.0 → 1.9): strip leading v,
    truncate to major.minor, match .x suffixes in API version names
  • Guard against missing name key in API version entries (live API crash)
  • Derive lifecycle_unavailable from per-result verdicts so the summary
    always agrees with the details
  • Switch from api_search("OpenShift") to api_all() to cover all
    operators regardless of product name
  • Update SKILL.md to document both success shapes (with-version vs
    no-version) and the error field convention
  • 31 unit tests pass

Problem

Based on evals test run from #34 it was possible to verify inconsistencies
between how different models deal with lifecycle data count.
The gemini and openai providers failed plc_proposal_olm_batch_check
returning 4/1 instead of the expected 3/2 split. Root cause: the tool
returned all version entries per package, and the LLMs had to infer
whether the installed version was tracked. web-terminal v1.16 is not
in the API (only up to v1.15), but the models saw web-terminal data
and counted it as "has lifecycle data."

Proposal Fix

The tool now answers the question directly. For each operator:

  • Version provided + tracked → no error, with status, ocp_compatible, phases
  • Version provided + not tracked → error set, with available_versions
  • Package not in API → error set
  • No version provided → no error if the package exists, with product
    and available_versions (no status/ocp_compatible/phases)

Before / After

CLI call

Before — no way to specify installed version:

python3 plc_lookup.py olm-check --ocp 4.21 \
  --operators '[{"package":"cluster-logging"},{"package":"web-terminal"}]'

After — optional version field per operator:

python3 plc_lookup.py olm-check --ocp 4.21 \
  --operators '[{"package":"cluster-logging","version":"6.5.1"},{"package":"web-terminal","version":"1.16.0"}]'

Sample output — Before

The old output dumped every version entry for each matched package.
The LLM had to figure out which (if any) matched the installed version:

{
  "ocp_target": "4.21",
  "operators_checked": 2,
  "lifecycle_unavailable": [],
  "results": [
    {
      "product": "logging for Red Hat OpenShift",
      "package": "cluster-logging",
      "version": "6.5",
      "status": "Full Support",
      "ocp_versions": ["4.19", "4.20", "4.21"],
      "ocp_compatible": true,
      "phases": [...]
    },
    {
      "product": "logging for Red Hat OpenShift",
      "package": "cluster-logging",
      "version": "5.9",
      "status": "End of life",
      "ocp_versions": ["4.13", "4.14", "4.15", "4.16"],
      "ocp_compatible": false,
      "phases": [...]
    },
    {
      "product": "Red Hat OpenShift Web Terminal",
      "package": "web-terminal",
      "version": "1.15",
      "status": "Full Support",
      "ocp_versions": ["4.19", "4.20", "4.21"],
      "ocp_compatible": true,
      "phases": [...]
    }
  ]
}

web-terminal v1.16 is not in the API (only up to v1.15), but the
models saw web-terminal data and counted it as "has lifecycle data" —
producing the wrong 4/1 split instead of the expected 3/2.

Sample output — After

One result per operator with a clear verdict.
No error field means success — no ambiguity for the model to resolve:

{
  "ocp_target": "4.21",
  "operators_checked": 2,
  "lifecycle_unavailable": ["web-terminal"],
  "results": [
    {
      "package": "cluster-logging",
      "requested_version": "6.5",
      "product": "logging for Red Hat OpenShift",
      "status": "Full Support",
      "ocp_compatible": true,
      "phases": [...]
    },
    {
      "package": "web-terminal",
      "requested_version": "1.16",
      "error": "version 1.16 not tracked",
      "available_versions": ["1.15"]
    }
  ]
}

web-terminal v1.16 now gets "error": "version 1.16 not tracked",
so the model correctly counts it as lifecycle-unavailable — producing the expected 3/2 split.

Files changed

  • cluster-update/product-lifecycle/scripts/plc_lookup.py — core refactor
  • cluster-update/product-lifecycle/SKILL.md — updated documentation
  • cluster-update/product-lifecycle/scripts/tests/test_plc_lookup.py — rewritten tests

Test plan

  • 31 unit tests pass (python3 -m pytest cluster-update/product-lifecycle/scripts/tests/ -v)
  • Manual verification against live API confirms correct 3/2 split
  • Run evals (once updated) with all three providers to confirm consistent results

@openshift-ci-robot openshift-ci-robot added the jira/valid-reference Indicates that this PR references a valid Jira ticket of any type. label Jul 24, 2026
@openshift-ci-robot

openshift-ci-robot commented Jul 24, 2026 •
edited by openshift-ci Bot
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@jrangelramos: This pull request references OTA-2070 which is a valid jira issue.

Details

In response to this:

Summary

  • Refactor olm-check to return one result per operator with an
    explicit found: true/false verdict instead of dumping all version
    entries for matched packages
  • Add optional version field to operator input for per-version matching
  • Add version normalization (1.9.0 → 1.9) so patch versions match API entries
  • Switch from api_search("OpenShift") to api_all() to cover all
    operators regardless of product name
  • Rewrite unit tests for the new output structure (27 tests pass)

Problem

Based on evals test run from #34 it was possible to verify inconsistencies
between how different models deal with lifecycle data count.
The gemini and openai providers failed plc_proposal_olm_batch_check
returning 4/1 instead of the expected 3/2 split. Root cause: the tool
returned all version entries per package, and the LLMs had to infer
whether the installed version was tracked. web-terminal v1.16 is not
in the API (only up to v1.15), but the models saw web-terminal data
and counted it as "has lifecycle data."

Fix

The tool now answers the question directly. For each operator:

  • Version provided + tracked → found: true with status, ocp_compatible, phases
  • Version provided + not tracked → found: false with reason, available_versions
  • Package not in API → found: false with reason
  • No version provided → found: true if the package exists (backward compat)

Before / After

CLI call

Before — no way to specify installed version:

python3 plc_lookup.py olm-check --ocp 4.21 \
 --operators '[{"package":"cluster-logging"},{"package":"web-terminal"}]'

After — optional version field per operator:

python3 plc_lookup.py olm-check --ocp 4.21 \
 --operators '[{"package":"cluster-logging","version":"6.5.1"},{"package":"web-terminal","version":"1.16.0"}]'

Sample output — Before

The old output dumped every version entry for each matched package.
The LLM had to figure out which (if any) matched the installed version:

{
 "ocp_target": "4.21",
 "operators_checked": 2,
 "lifecycle_unavailable": [],
 "results": [
   {
     "product": "logging for Red Hat OpenShift",
     "package": "cluster-logging",
     "version": "6.5",
     "status": "Full Support",
     "ocp_versions": ["4.19", "4.20", "4.21"],
     "ocp_compatible": true,
     "phases": [...]
   },
   {
     "product": "logging for Red Hat OpenShift",
     "package": "cluster-logging",
     "version": "5.9",
     "status": "End of life",
     "ocp_versions": ["4.13", "4.14", "4.15", "4.16"],
     "ocp_compatible": false,
     "phases": [...]
   },
   {
     "product": "Red Hat OpenShift Web Terminal",
     "package": "web-terminal",
     "version": "1.15",
     "status": "Full Support",
     "ocp_versions": ["4.19", "4.20", "4.21"],
     "ocp_compatible": true,
     "phases": [...]
   }
 ]
}

web-terminal v1.16 is not in the API (only up to v1.15), but the
models saw web-terminal data and counted it as "has lifecycle data" —
producing the wrong 4/1 split instead of the expected 3/2.

Sample output — After

One result per operator with an explicit found verdict.
No ambiguity for the model to resolve:

{
 "ocp_target": "4.21",
 "operators_checked": 2,
 "lifecycle_unavailable": ["web-terminal"],
 "results": [
   {
     "package": "cluster-logging",
     "requested_version": "6.5",
     "found": true,
     "product": "logging for Red Hat OpenShift",
     "status": "Full Support",
     "ocp_compatible": true,
     "phases": [...]
   },
   {
     "package": "web-terminal",
     "requested_version": "1.16",
     "found": false,
     "reason": "version 1.16 not tracked",
     "available_versions": ["1.15"]
   }
 ]
}

web-terminal v1.16 now gets found: false with reason: "version 1.16 not tracked",
so the model correctly counts it as lifecycle-unavailable — producing the expected 3/2 split.

Files changed

  • cluster-update/product-lifecycle/scripts/plc_lookup.py — core refactor
  • cluster-update/product-lifecycle/scripts/tests/test_plc_lookup.py — rewritten tests

Test plan

  • 27 unit tests pass (python3 -m pytest cluster-update/product-lifecycle/scripts/tests/ -v)
  • Manual verification against live API confirms correct 3/2 split
  • Run evals (once updated) with all three providers to confirm consistent results

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the openshift-eng/jira-lifecycle-plugin repository.

@openshift-ci
openshift-ci Bot requested review from fao89 and wking July 24, 2026 02:31
@jrangelramos
jrangelramos force-pushed the fix/olm-check-per-operator-verdicts branch from d316922 to 922f52f Compare July 24, 2026 02:59
@jrangelramos jrangelramos mentioned this pull request Jul 24, 2026
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@jrangelramos

jrangelramos commented Jul 24, 2026

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Test logs using combined evals from jhadvig#2 on top of #34.

Run with claude as provider

🔍 Expand: Eval Run Logs 
$ CLAUDE_CODE_USE_VERTEX=1 \
ANTHROPIC_VERTEX_PROJECT_ID=itpc-gcp-hcm-pe-eng-claude \
ANTHROPIC_MODEL=claude-opus-4-6 \
CLOUD_ML_REGION=us-east5 \
EVAL_HEALTH_TIMEOUT=180 \
bash evals/run.sh -k "product-lifecycle" --timeout=600
Starting provider containers...
  claude: port 18080 (container d77ffafd9aca)
Waiting for servers...
  claude: ready

Running evals...
/usr/lib/python3.14/site-packages/pytest_asyncio/plugin.py:211: PytestDeprecationWarning: The configuration option "asyncio_default_fixture_loop_scope" is unset.
The event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: "function", "class", "module", "package", "session"

  warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET))
=============================================================================================== test session starts ================================================================================================
platform linux -- Python 3.14.3, pytest-8.3.5, pluggy-1.6.0 -- /usr/bin/python3
cachedir: .pytest_cache
rootdir: /home/jeramos/pixaa/test/test-ocp5/agentic-skills/evals
configfile: pytest.ini
plugins: anyio-4.12.1, asyncio-1.1.0, xdist-3.7.0, timeout-2.4.0
asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
timeout: 600.0s
timeout method: signal
timeout func_only: False
collected 228 items / 186 deselected / 42 selected                                                                                                                                                                 

evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_proposal_olm_batch_check] PASSED                                                                                                          [  2%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_cluster_logging_supported] PASSED                                                                                                         [  4%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_web_terminal_compat_check] PASSED                                                                                                         [  7%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_compliance_operator_status] PASSED                                                                                                        [  9%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_ocp_platform_status] PASSED                                                                                                               [ 11%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_ocp_old_version_extended] PASSED                                                                                                          [ 14%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_batch_known_operators_only] PASSED                                                                                                        [ 16%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for gemini)                                                                                  [ 19%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for gemini)                                                                                 [ 21%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for gemini)                                                                                 [ 23%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for gemini)                                                                                [ 26%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for gemini)                                                                                       [ 28%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for gemini)                                                                                  [ 30%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for gemini)                                                                                [ 33%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for openai)                                                                                  [ 35%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for openai)                                                                                 [ 38%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for openai)                                                                                 [ 40%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for openai)                                                                                [ 42%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for openai)                                                                                       [ 45%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for openai)                                                                                  [ 47%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for openai)                                                                                [ 50%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for deepagents-claude)                                                            [ 52%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for deepagents-claude)                                                           [ 54%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for deepagents-claude)                                                           [ 57%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for deepagents-claude)                                                          [ 59%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for deepagents-claude)                                                                 [ 61%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for deepagents-claude)                                                            [ 64%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for deepagents-claude)                                                          [ 66%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for deepagents-gemini)                                                            [ 69%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for deepagents-gemini)                                                           [ 71%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for deepagents-gemini)                                                           [ 73%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for deepagents-gemini)                                                          [ 76%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for deepagents-gemini)                                                                 [ 78%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for deepagents-gemini)                                                            [ 80%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for deepagents-gemini)                                                          [ 83%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for deepagents-openai)                                                            [ 85%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for deepagents-openai)                                                           [ 88%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for deepagents-openai)                                                           [ 90%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for deepagents-openai)                                                          [ 92%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for deepagents-openai)                                                                 [ 95%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for deepagents-openai)                                                            [ 97%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for deepagents-openai)                                                          [100%]

============================================================================ 7 passed, 35 skipped, 186 deselected in 719.06s (0:11:59) =============================================================================
eval-claude
🔍 Expand: Container Logs 
INFO lightspeed_agentic.config: Resolved LIGHTSPEED_PROVIDER=anthropic → SDK=claude
INFO lightspeed_agentic.app: Starting app (sdk=claude, model=claude-opus-4-6, LIGHTSPEED_MODEL=, audit=False)
INFO:     Started server process [2]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8080 (Press CTRL+C to quit)
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=9ac3ff37e6aae24eda310cc03052a3a5)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to look up lifecycle data for 5 operators against OCP 4.21 using the product-lifecycle skill. Let me invoke that skill.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Look up lifecycle data for each of these 5 operators against OCP 4.21:\n\n1. compliance-operator v1.9.0 (channel: stable, package: compliance-operator)\n2. cluster-logging v6.3.1 (channel: stable-6.3, package: cluster-logging)\n3. devworkspace-operator v0.41.0)
INFO lightspeed_agentic: [provider:run] thinking: The skill has loaded and given me instructions on how to use the `plc_lookup.py` script. I need to run the `olm-check` command with all 5 operators and their versions against OCP 4.21.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"compliance-operator\",\"version\":\"1.9.0\"},{\"package\":\"cluster-logging\",\"version\":\"6.3.1\"},{\"package\":\"devworkspace-operator\",\"version\":)
INFO lightspeed_agentic: [provider:run] thinking: Now let me analyze the results and provide a clear summary.

Let me tally:

1. **compliance-operator v1.9.0** — `found: true`, version tracked (1.9 matched), `ocp_compatible: true`, status: Full Support
2. **cluster-logging v6.3.1** — `found: true`, version tracked (6.3 matched), `ocp_compatible: false`, status: Maintenance Support
3. **devworkspace-operator v0.41.0** — `found: false`, reason: package not found in PLC API. So not tracked at all.
4. **openshift-pipelines-operator-rh v1.22.0** — `found: true`, version tracked (1.22 matched), `ocp_compatible: true`, status: Full Support
5. **web-terminal v1.16.0** — `found: false`, reason: version 1.16 not tracked. The package itself exists in the API with available versions, but this specific version isn't among them.

Now I'm tallying the counts: 5 operators checked total, and I need to recount how many packages are actually found in the PLC API regardless of version matching. So the `found` field specifically indicates whether lifecycle data exists for that operator at that particular version. For web-terminal, even though the package is tracked in the API, `found` is `false` because version 1.16 isn't in their lifecycle data—the reason distinguishes between a missing package versus a missing version. This means web-terminal wouldn't count toward the metric since the criterion is `found=true`. the PLC API at all, regardless of whether the specific version matches. So the answer should be 4 operators—the ones where the package exists in the system, even if the version doesn't align perfectly.

For the version-specific count, I'm looking at operators where both the package was found AND the version matched exactly. That gives me 3: compliance-operator, cluster-logging, and openshift-pipelines-operator-rh. Web-terminal's package exists but the version doesn't match, so it doesn't count here.

Now I need to figure out the OCP compatibility count by checking which operators have `ocp_compatible=true` for the target versi
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"olm_check_ran": true, "operators_checked": 5, "operators_api_tracked_count": 4, "operators_version_tracked_count": 3, "operators_ocp_compatible_count": 2})
INFO lightspeed_agentic: [provider:run] result: cost=$0.2866, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"olm_check_ran": true, "operators_checked": 5, "operators_api_tracked_count": 4, "operators_version_tracked_count": 3, "operators_ocp_compatible_count": 2}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.2866
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=398a7ddb6838e978a9998c4477d6d24b)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to look up the lifecycle status of cluster-logging using the product-lifecycle skill. Let me invoke that skill.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Look up the product \"cluster-logging\" (package name: cluster-logging) in the Red Hat Product Life Cycle API. Report whether the product was found, its lifecycle status for version 6.5, and whether it is compatible with OCP 4.21."})
INFO lightspeed_agentic: [provider:run] thinking: Let me use the olm-check command to look up cluster-logging with the specific version and OCP compatibility.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"cluster-logging\",\"version\":\"6.5.1\"}]'", "description": "Look up cluster-logging v6.5.1 lifecycle status and OCP 4.21 compatibility"})
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"product_found": true, "status": "supported", "ocp_compatible": true})
INFO lightspeed_agentic: [provider:run] result: cost=$0.2226, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "supported", "ocp_compatible": true}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.2226
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=e7d8030d5d1a9c53d9829b711f470c9b)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to check the lifecycle status of the web-terminal operator for compatibility with OCP 4.21. Let me use the product-lifecycle skill to look this up.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Check if the product \"web-terminal\" has any version that is compatible with OCP 4.21 and currently in a \"supported\" (full support) phase. The cluster is running OCP 4.21 with web-terminal v1.16.0 installed."})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"web-terminal\",\"version\":\"1.16.0\"}]'", "description": "Check web-terminal v1.16.0 lifecycle status against OCP 4.21"})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"web-terminal\" --ocp 4.21", "description": "Look up all web-terminal versions and their OCP 4.21 compatibility"})
INFO lightspeed_agentic: [provider:run] thinking: The first query shows that web-terminal v1.16 is not tracked in the API. The available versions are 1.5 through 1.15. Let me check the product name more carefully - "web-terminal" as a product name didn't find anything, but the OLM package "web-terminal" does exist. Let me try searching with a more complete product name.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"Web Terminal\" --ocp 4.21", "description": "Search for Web Terminal product with proper name"})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"web-terminal\",\"version\":\"1.15\"}]'", "description": "Check web-terminal v1.15 (latest tracked) against OCP 4.21"})
INFO lightspeed_agentic: [provider:run] thinking: Now I have a complete picture. Let me summarize:

1. **web-terminal v1.16.0** (the installed version): Not tracked in the Product Life Cycle API at all. The API tracks versions 1.5 through 1.15.

2. **No version of web-terminal is compatible with OCP 4.21**: Every single tracked version (1.5 through 1.15) has `ocp_compatible: false` for OCP 4.21. Each version maps to a specific OCP version (1.15→4.20, 1.14→4.19, etc.), and none lists OCP 4.21.
3. The latest tracked version (1.15) is in "Full Support" but only compatible with OCP 4.20. So the answer is clear: there's no web-terminal version that's both supported and compatible with OCP 4.21 according to the API. The pattern shows a 1:1 mapping between web-terminal and OCP versions, so v1.16 would likely be needed for OCP 4.21, but it's not yet in the system.
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"product_found": true, "has_supported_version_for_421": false})
INFO lightspeed_agentic: [provider:run] result: cost=$0.2976, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "has_supported_version_for_421": false}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.2976
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=95a1bbb3649a9ed91ef88405467d0308)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to check the lifecycle status of compliance-operator v1.9 using the product-lifecycle skill.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Check the lifecycle status of compliance-operator version 1.9 (package name: compliance-operator). Report whether the product was found in the Red Hat Product Life Cycle API and its current support phase/status."})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --operators '[{\"package\":\"compliance-operator\",\"version\":\"1.9.0\"}]'", "description": "Check lifecycle status of compliance-operator v1.9"})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.17 --operators '[{\"package\":\"compliance-operator\",\"version\":\"1.9.0\"}]'", "description": "Check lifecycle status of compliance-operator v1.9 with OCP version"})
INFO lightspeed_agentic: [provider:run] thinking: The API returned data for compliance-operator v1.9. Let me summarize:

- **Found**: Yes
- **Status**: "Full Support"
- **Phases**:
  - General availability: ended 2026-04-16
  - Full support: started 2026-04-16, ends at "Release of 1.10.0"
  - Maintenance support: N/A

The status is "Full Support" which I should normalize to "supported" for the structured output.
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"product_found": true, "status": "supported"})
INFO lightspeed_agentic: [provider:run] result: cost=$0.2384, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "supported"}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.2384
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=8d3697ae9bbb12dfde4606671496898e)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to check the lifecycle status of OCP 4.21 using the product-lifecycle skill. Let me invoke that skill.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Look up \"Red Hat OpenShift Container Platform\" version 4.21 in the Red Hat Product Life Cycle API. Report whether the product was found and what the current lifecycle/support status is for version 4.21."})
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to look up "Red Hat OpenShift Container Platform" version 4.21 in the Red Hat Product Life Cycle API. I need to run the plc_lookup.py script.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"Red Hat OpenShift Container Platform\"", "description": "Query Red Hat Product Life Cycle API for OCP"})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"Red Hat OpenShift Container Platform\" | python3 -c \"\nimport json, sys\ndata = json.load(sys.stdin)\nfor r in data.get('results', []):\n    if r.get('version') == '4.21':\n        print(jso)
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"product_found": true, "status": "supported"})
INFO lightspeed_agentic: [provider:run] result: cost=$0.2499, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "supported"}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.2499
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=a9e1efcf672a99766420428d68f171b6)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to check the lifecycle status of Red Hat OpenShift Container Platform version 4.14 using the product-lifecycle skill.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Check the lifecycle status of Red Hat OpenShift Container Platform version 4.14. Report whether the product was found in the API and what its current support phase is."})
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to check the lifecycle status of OCP 4.14. I need to run the product-lifecycle script to query this.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"Red Hat OpenShift Container Platform\"", "description": "Query Red Hat Product Life Cycle API for OCP"})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 -c \"\nimport json\nwith open('/home/agent/.claude/projects/-app-workspace-skills/56378ead-2641-4b1f-8092-831e89d37c22/tool-results/bndoyk0vt.txt') as f:\n    data = json.load(f)\nfor r in data['results']:\n    if r['version'] == '4.14':\n        print(json.dumps(r, indent=2))\n)
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"product_found": true, "status": "extended"})
INFO lightspeed_agentic: [provider:run] result: cost=$0.2501, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "extended"}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.2501
INFO lightspeed_agentic: [agent] Starting query (model=claude-opus-4-6, provider=claude, trace_id=51eecdf20e2e600d21ddd44529e3dd8a)
INFO claude_agent_sdk._internal.transport.subprocess_cli: Using bundled Claude Code CLI: /opt/app-root/lib64/python3.12/site-packages/claude_agent_sdk/_bundled/claude
INFO lightspeed_agentic: [provider:run] thinking: The user wants me to check the lifecycle status of two operators against OCP 4.21 using the product-lifecycle skill. Let me invoke that skill.
INFO lightspeed_agentic: [provider:run] tool_use: Skill({"skill": "product-lifecycle", "args": "Check lifecycle status for these 2 operators against OCP 4.21: 1. cluster-logging (package: cluster-logging) 2. web-terminal (package: web-terminal). For each operator, look up its lifecycle data and report whether both were found in the API and whether any of)
INFO lightspeed_agentic: [provider:run] thinking: Let me run the olm-check command to look up both operators against OCP 4.21.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"cluster-logging\"},{\"package\":\"web-terminal\"}]'", "description": "Check lifecycle status for cluster-logging and web-terminal against OCP 4.21"})
INFO lightspeed_agentic: [provider:run] thinking: Both operators were found in the API, but no specific version was queried, so I don't have OCP compatibility or EOL status yet. I need to look up individual versions that are compatible with OCP 4.21. Let me query each product with the --ocp flag to get details about which versions are compatible with OCP 4.21 and their lifecycle status.
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"logging for Red Hat OpenShift\" --ocp 4.21", "description": "Get lifecycle details for cluster-logging with OCP 4.21 compatibility"})
INFO lightspeed_agentic: [provider:run] tool_use: Bash({"command": "python3 /app/workspace/skills/.claude/skills/product-lifecycle/scripts/plc_lookup.py products \"web terminal operator\" --ocp 4.21", "description": "Get lifecycle details for web-terminal with OCP 4.21 compatibility"})
INFO lightspeed_agentic: [provider:run] thinking: Let me analyze the results:

**cluster-logging (Logging for Red Hat OpenShift)**:
- Found: ✅ Yes
- OCP 4.21-compatible versions (where `ocp_compatible: true`):
  - **6.6** — Full Support (ocp_versions includes 4.21) ✅
  - **6.5** — Full Support (ocp_versions includes 4.21) ✅
  - **6.4** — Full Support (ocp_versions includes 4.21) ✅
- None of the OCP 4.21-compatible versions are end-of-life. They are all in Full Support.
**web-terminal (Web Terminal Operator)**:
- Found: ✅ Yes
- OCP 4.21-compatible versions: **None**. No version of the web-terminal operator lists OCP 4.21 in its `ocp_versions`. The latest version (1.15) only supports OCP 4.20, and all versions have `ocp_compatible: false`. Since there are no OCP 4.21-compatible versions, there's nothing to check for end-of-life status.

For the structured output, the checks completed successfully and both operators were found. Neither operator has any OCP 4.21-compatible versions that are end-of-life — cluster-logging's three compatible versions (6.4, 6.5, 6.6) are all in Full Support, and web-terminal has no compatible versions at all.
INFO lightspeed_agentic: [provider:run] tool_use: StructuredOutput({"check_completed": true, "both_found": true, "any_eol": false})
INFO lightspeed_agentic: [provider:run] result: cost=$0.3444, tokens=0
INFO lightspeed_agentic: [provider:run] output: {"check_completed": true, "both_found": true, "any_eol": false}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.3444
INFO:     Shutting down
INFO:     Waiting for application shutdown.
INFO:     Application shutdown complete.
INFO:     Finished server process [2]

@jrangelramos

jrangelramos commented Jul 24, 2026

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Test logs using combined evals from jhadvig#2 on top of #34.

Run with openai as provider

🔍 Expand: Eval Run Logs 
$ OPENAI_API_KEY=${OPENAI_API_KEY} \
OPENAI_MODEL=gpt-5.4 \
EVAL_PROVIDERS=openai \
EVAL_HEALTH_TIMEOUT=180 \
CLAUDE_CODE_USE_VERTEX= \
ANTHROPIC_VERTEX_PROJECT_ID= \
GOOGLE_APPLICATION_CREDENTIALS= \
bash evals/run.sh -k "product-lifecycle" --timeout=600
Starting provider containers...
  openai: port 18080 (container 5d95caaddb17)
Waiting for servers...
  openai: ready

Running evals...
/usr/lib/python3.14/site-packages/pytest_asyncio/plugin.py:211: PytestDeprecationWarning: The configuration option "asyncio_default_fixture_loop_scope" is unset.
The event loop scope for asynchronous fixtures will default to the fixture caching scope. Future versions of pytest-asyncio will default the loop scope for asynchronous fixtures to function scope. Set the default fixture loop scope explicitly in order to avoid unexpected behavior in the future. Valid fixture loop scopes are: "function", "class", "module", "package", "session"

  warnings.warn(PytestDeprecationWarning(_DEFAULT_FIXTURE_LOOP_SCOPE_UNSET))
=============================================================================================== test session starts ================================================================================================
platform linux -- Python 3.14.3, pytest-8.3.5, pluggy-1.6.0 -- /usr/bin/python3
cachedir: .pytest_cache
rootdir: /home/jeramos/pixaa/test/test-ocp5/agentic-skills/evals
configfile: pytest.ini
plugins: anyio-4.12.1, asyncio-1.1.0, xdist-3.7.0, timeout-2.4.0
asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
timeout: 600.0s
timeout method: signal
timeout func_only: False
collected 228 items / 186 deselected / 42 selected                                                                                                                                                                 

evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for claude)                                                                                  [  2%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for claude)                                                                                 [  4%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for claude)                                                                                 [  7%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for claude)                                                                                [  9%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for claude)                                                                                       [ 11%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for claude)                                                                                  [ 14%]
evals/skills/test_eval.py::test_skill[claude-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for claude)                                                                                [ 16%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for gemini)                                                                                  [ 19%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for gemini)                                                                                 [ 21%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for gemini)                                                                                 [ 23%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for gemini)                                                                                [ 26%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for gemini)                                                                                       [ 28%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for gemini)                                                                                  [ 30%]
evals/skills/test_eval.py::test_skill[gemini-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for gemini)                                                                                [ 33%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_proposal_olm_batch_check] PASSED                                                                                                          [ 35%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_cluster_logging_supported] PASSED                                                                                                         [ 38%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_web_terminal_compat_check] PASSED                                                                                                         [ 40%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_compliance_operator_status] PASSED                                                                                                        [ 42%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_ocp_platform_status] PASSED                                                                                                               [ 45%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_ocp_old_version_extended] PASSED                                                                                                          [ 47%]
evals/skills/test_eval.py::test_skill[openai-product-lifecycle-plc_batch_known_operators_only] PASSED                                                                                                        [ 50%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for deepagents-claude)                                                            [ 52%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for deepagents-claude)                                                           [ 54%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for deepagents-claude)                                                           [ 57%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for deepagents-claude)                                                          [ 59%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for deepagents-claude)                                                                 [ 61%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for deepagents-claude)                                                            [ 64%]
evals/skills/test_eval.py::test_skill[deepagents-claude-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for deepagents-claude)                                                          [ 66%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for deepagents-gemini)                                                            [ 69%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for deepagents-gemini)                                                           [ 71%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for deepagents-gemini)                                                           [ 73%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for deepagents-gemini)                                                          [ 76%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for deepagents-gemini)                                                                 [ 78%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for deepagents-gemini)                                                            [ 80%]
evals/skills/test_eval.py::test_skill[deepagents-gemini-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for deepagents-gemini)                                                          [ 83%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_proposal_olm_batch_check] SKIPPED (No server for deepagents-openai)                                                            [ 85%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_cluster_logging_supported] SKIPPED (No server for deepagents-openai)                                                           [ 88%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_web_terminal_compat_check] SKIPPED (No server for deepagents-openai)                                                           [ 90%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_compliance_operator_status] SKIPPED (No server for deepagents-openai)                                                          [ 92%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_ocp_platform_status] SKIPPED (No server for deepagents-openai)                                                                 [ 95%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_ocp_old_version_extended] SKIPPED (No server for deepagents-openai)                                                            [ 97%]
evals/skills/test_eval.py::test_skill[deepagents-openai-product-lifecycle-plc_batch_known_operators_only] SKIPPED (No server for deepagents-openai)                                                          [100%]

============================================================================= 7 passed, 35 skipped, 186 deselected in 63.92s (0:01:03) =============================================================================
eval-openai
🔍 Expand: Container Logs 
INFO lightspeed_agentic.config: Resolved LIGHTSPEED_PROVIDER=openai → SDK=openai
INFO lightspeed_agentic.app: Starting app (sdk=openai, model=gpt-5.4, LIGHTSPEED_MODEL=, audit=False)
INFO:     Started server process [2]
INFO:     Waiting for application startup.
INFO:     Application startup complete.
INFO:     Uvicorn running on http://0.0.0.0:8080 (Press CTRL+C to quit)
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=7ad1d140b1d9c023ba5fb95a56942ad5)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc76151630>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc760d3bf0>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc76153750>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc76153b10>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74c9bf70>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc7555e710>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc746947d0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"printf 'Using the product-lifecycle skill now; checking its instructions first.\\n' && cat .agents/product-lifecycle/SKILL.md","workdir":"/app/workspace/skills","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc76134870>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: f2e17d
Wall time: 0.0070 seconds
Process exited with code 0
Output:
Using the product-lifecycle skill now; checking its instructions first.
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the us
DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc7555e760>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74694910>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"compliance-operator\",\"version\":\"1.9.0\"},{\"package\":\"cluster-logging\",\"version\":\"6.3.1\"},{\"package\":\"devworkspace-operator\",\"version\":\"0.41.0\"},{\"package\":\"openshi)
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc746949b0>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 679166
Wall time: 1.1121 seconds
Process exited with code 0
Output:
{
  "ocp_target": "4.21",
  "operators_checked": 5,
  "lifecycle_unavailable": [
    "devworkspace-operator"
  ],
  "results": [
    {
      "package": "compliance-operator",
      "requested_version": "1.9",
      "found": true,
      "product": "compliance operator",
      "status": "Full Support",
      "ocp_compatible": true,
      "phases": [
        {
          "name": "General availability",
          "start_dat
DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74695a40>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc746954a0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=29833
INFO lightspeed_agentic: [provider:run] output: {"olm_check_ran": true, "operators_checked": 5, "operators_api_tracked_count": 4, "operators_version_tracked_count": 3, "operators_ocp_compatible_count": 2}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=8676f78fbf63315518cf297a7c9a5194)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc744c7d40>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc74a87b30>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc744c5db0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744c6580>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc744bcc30>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "already_loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc744bce60>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744bd1d0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"cat .agents/product-lifecycle/SKILL.md && printf '\\n---\\n' && rg -n \"cluster-logging|compat|ocp|OpenShift|lifecycle|api\" .agents/product-lifecycle -S","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc744bcd70>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 618825
Wall time: 0.0067 seconds
Process exited with code 127
Output:
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the user asks about product support status, EOL dates, or lifecycle phases f
DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc76151680>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744bcb90>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"cluster-logging\",\"version\":\"6.5.1\"}]'","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74681950>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 160e99
Wall time: 1.3045 seconds
Process exited with code 0
Output:
{
  "ocp_target": "4.21",
  "operators_checked": 1,
  "lifecycle_unavailable": [],
  "results": [
    {
      "package": "cluster-logging",
      "requested_version": "6.5",
      "found": true,
      "product": "logging for Red Hat OpenShift",
      "status": "Full Support",
      "ocp_compatible": true,
      "phases": [
        {
          "name": "General availability",
          "start_date": "N/A",
          "end
DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc744bcc80>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744c4140>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=28337
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "supported", "ocp_compatible": true}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=e7f320be85ec3b12e1a1fae3685aab88)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc74c98f50>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc75624b90>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc746972a0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74695900>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc7555e490>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "already_loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc76a27f20>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744c77a0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"cat .agents/product-lifecycle/SKILL.md && printf '\\n---\\n' && rg -n \"web-terminal|compat|support|lifecycle|api\" .agents/product-lifecycle -S","yield_time_ms":10000,"max_output_tokens":12000})
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"find /app/workspace/skills/.agents/product-lifecycle -maxdepth 2 -type f | sort","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc744c7c00>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74696990>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: e063eb
Wall time: 0.0054 seconds
Process exited with code 127
Output:
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the user asks about product support status, EOL dates, or lifecycle phases f
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: f1e0cf
Wall time: 0.0096 seconds
Process exited with code 0
Output:
/app/workspace/skills/.agents/product-lifecycle/scripts/plc_lookup.py
/app/workspace/skills/.agents/product-lifecycle/SKILL.md

DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc7555e4e0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744c61c0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 /app/workspace/skills/.agents/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"web-terminal\",\"version\":\"1.16.0\"}]'","yield_time_ms":20000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc7555eda0>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 2311e2
Wall time: 0.5138 seconds
Process exited with code 0
Output:
{
  "ocp_target": "4.21",
  "operators_checked": 1,
  "lifecycle_unavailable": [],
  "results": [
    {
      "package": "web-terminal",
      "requested_version": "1.16",
      "found": false,
      "reason": "version 1.16 not tracked",
      "available_versions": [
        "1.10",
        "1.11",
        "1.12",
        "1.13",
        "1.14",
        "1.15",
        "1.5",
        "1.6",
        "1.7",
        "1.8"
DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74694910>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744c70c0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 /app/workspace/skills/.agents/product-lifecycle/scripts/plc_lookup.py products \"web terminal\" --ocp 4.21","yield_time_ms":20000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc7555eb70>
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 0d61e5
Wall time: 0.7001 seconds
Process exited with code 0
Output:
{
  "results": [
    {
      "product": "web terminal operator",
      "former_names": [
        "Red Hat OpenShift Web Terminal Operator",
        "Web Terminal Operator"
      ],
      "package": "web-terminal",
      "version": "1.15",
      "status": "Full Support",
      "ocp_versions": [
        "4.20"
      ],
      "phases": [
        {
          "name": "General availability",
          "start_date": "N/A",
  
DEBUG openai.agents: Starting turn 5, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74694e60>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc744bceb0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 5 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=40325
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "has_supported_version_for_421": false}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=faa4171eea44e35d4909311422864dea)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc74250cd0>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc744c92b0>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc742518b0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74251680>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74251400>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "already_loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74251860>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74251720>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"cat .agents/product-lifecycle/SKILL.md && printf '\\n---\\n' && rg -n \"compliance-operator|life cycle|lifecycle|api|query\" .agents/product-lifecycle -S","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74251950>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: a838c1
Wall time: 0.0043 seconds
Process exited with code 127
Output:
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the user asks about product support status, EOL dates, or lifecycle phases f
DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74252ad0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74253930>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py olm-check --operators '[{\"package\":\"compliance-operator\",\"version\":\"1.9.0\"}]'","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74252030>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 87cb81
Wall time: 0.0415 seconds
Process exited with code 2
Output:
usage: plc_lookup.py olm-check [-h] --ocp OCP --operators OPERATORS
plc_lookup.py olm-check: error: the following arguments are required: --ocp

DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74252c10>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc742534d0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py -h && printf '\\n---\\n' && python3 .agents/product-lifecycle/scripts/plc_lookup.py olm-check -h","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74252850>
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 535864
Wall time: 0.0735 seconds
Process exited with code 0
Output:
usage: plc_lookup.py [-h] {products,olm-check} ...

Query Red Hat Product Life Cycle API for support status, EOL dates, and OCP compatibility.

positional arguments:
  {products,olm-check}
    products            Query products by name (substring match)
    olm-check           Batch check OLM operators against a target OCP version

options:
  -h, --help            show this help message and exit

Examples:
  plc_lookup
DEBUG openai.agents: Starting turn 5, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc744c6490>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc742538e0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"compliance-operator\",\"version\":\"1.9.0\"}]'","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc744c7c00>
DEBUG openai.agents: Turn 5 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: ea9f1b
Wall time: 0.6113 seconds
Process exited with code 0
Output:
{
  "ocp_target": "4.21",
  "operators_checked": 1,
  "lifecycle_unavailable": [],
  "results": [
    {
      "package": "compliance-operator",
      "requested_version": "1.9",
      "found": true,
      "product": "compliance operator",
      "status": "Full Support",
      "ocp_compatible": true,
      "phases": [
        {
          "name": "General availability",
          "start_date": "N/A",
          "end_date"
DEBUG openai.agents: Starting turn 6, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74696990>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74252e90>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 6 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=44350
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "supported"}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=12a3f6d29dede747be0405933ea9eda7)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc6fd909b0>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc6fef3ad0>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6fd91450>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6fd91220>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6fd91540>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "already_loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6fd91400>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6fd926c0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"cat .agents/product-lifecycle/SKILL.md && printf '\\n---\\n' && rg -n \"OpenShift|lifecycle|API|compat\" .agents/product-lifecycle -S","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc74253c00>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 14e06a
Wall time: 0.0061 seconds
Process exited with code 127
Output:
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the user asks about product support status, EOL dates, or lifecycle phases f
DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc744c6fd0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6fd91450>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py products \"Red Hat OpenShift Container Platform\"","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc744c4320>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: ce9be3
Wall time: 0.3002 seconds
Process exited with code 0
Output:
{
  "results": [
    {
      "product": "Red Hat OpenShift Container Platform",
      "former_names": [
        "OpenShift Container Platform",
        " OpenShift Container Platform 3",
        " OpenShift Container Platform 4"
      ],
      "package": null,
      "version": "4.22",
      "status": "Full Support",
      "ocp_versions": [],
      "phases": [
        {
          "name": "General availability",
        
DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc74253a70>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc74252170>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=40185
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "supported"}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=914626730545ee614c0cda4b79e1ce91)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc6fd922b0>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc743eb110>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6fd938e0>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6fd936b0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6fd93e30>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "already_loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6fd93890>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6fd939d0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"cat .agents/product-lifecycle/SKILL.md && printf '\\n---\\n' && rg -n \"OpenShift Container Platform|OCP|lifecycle|API\" .agents/product-lifecycle -S","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6fd93e80>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: eeb3f3
Wall time: 0.0060 seconds
Process exited with code 127
Output:
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the user asks about product support status, EOL dates, or lifecycle phases f
DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6fd93f20>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6f97d180>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py products \"Red Hat OpenShift Container Platform\"","yield_time_ms":20000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6fd93610>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: a807c6
Wall time: 0.2620 seconds
Process exited with code 0
Output:
{
  "results": [
    {
      "product": "Red Hat OpenShift Container Platform",
      "former_names": [
        "OpenShift Container Platform",
        " OpenShift Container Platform 3",
        " OpenShift Container Platform 4"
      ],
      "package": null,
      "version": "4.22",
      "status": "Full Support",
      "ocp_versions": [],
      "phases": [
        {
          "name": "General availability",
        
DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6fd93f70>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6fd939d0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=40034
INFO lightspeed_agentic: [provider:run] output: {"product_found": true, "status": "extended"}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO lightspeed_agentic: [agent] Starting query (model=gpt-5.4, provider=openai, trace_id=a5dc26c66538b24e49c8162eee2a50b7)
DEBUG openai.agents: Tracing is disabled. Not creating trace Agent workflow
DEBUG openai.agents: Setting current trace: no-op
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TaskSpanData object at 0x7fdc6f97e030>
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.AgentSpanData object at 0x7fdc743eb590>
DEBUG openai.agents: Starting turn 1, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6f97e990>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6f97e760>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: load_skill({"skill_name":"product-lifecycle"})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6f97eb70>
DEBUG openai.agents: Turn 1 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: {"status": "already_loaded", "skill_name": "product-lifecycle", "path": ".agents/product-lifecycle"}
DEBUG openai.agents: Starting turn 2, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6f97e940>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6f97eb20>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"cat .agents/product-lifecycle/SKILL.md && printf '\\n---\\n' && rg -n \"\" .agents/product-lifecycle -g '!SKILL.md'","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6f97ef80>
DEBUG openai.agents: Turn 2 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: f9587a
Wall time: 0.0060 seconds
Process exited with code 127
Output:
---
name: product-lifecycle
description: Query Red Hat Product Life Cycle data for support phases, end-of-life dates, and OpenShift version compatibility. Use when evaluating whether installed operators or layered products are supported on a given OCP version, approaching end of life, or need upgrading before a cluster upgrade. Also use when the user asks about product support status, EOL dates, or lifecycle phases f
DEBUG openai.agents: Starting turn 3, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6f97ec60>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6f97efd0>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py olm-check --ocp 4.21 --operators '[{\"package\":\"cluster-logging\"},{\"package\":\"web-terminal\"}]'","yield_time_ms":10000,"max_output_tokens":12000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6f97fa20>
DEBUG openai.agents: Turn 3 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 2e8b1c
Wall time: 1.3659 seconds
Process exited with code 0
Output:
{
  "ocp_target": "4.21",
  "operators_checked": 2,
  "lifecycle_unavailable": [],
  "results": [
    {
      "package": "cluster-logging",
      "found": true,
      "product": "logging for Red Hat OpenShift",
      "available_versions": [
        "5.0",
        "5.1",
        "5.2",
        "5.3",
        "5.4",
        "5.5",
        "5.6",
        "5.7",
        "5.8",
        "5.9",
        "6.0",
        "6.1",
 
DEBUG openai.agents: Starting turn 4, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6f97f020>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6f97ca50>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
INFO lightspeed_agentic: [provider:run] tool_use: exec_command({"cmd":"python3 .agents/product-lifecycle/scripts/plc_lookup.py products 'logging for Red Hat OpenShift' --ocp 4.21 && printf '\\n---\\n' && python3 .agents/product-lifecycle/scripts/plc_lookup.py products 'web terminal operator' --ocp 4.21","yield_time_ms":10000,"max_output_tokens":20000})
DEBUG openai.agents: Processing output item type=function_call class=ResponseFunctionToolCall
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.FunctionSpanData object at 0x7fdc6f97ec60>
DEBUG openai.agents: Turn 4 complete, next_step type=NextStepRunAgain
INFO lightspeed_agentic: [provider:run] tool_result: Chunk ID: 1561d0
Wall time: 0.4414 seconds
Process exited with code 0
Output:
{
  "results": [
    {
      "product": "logging for Red Hat OpenShift",
      "former_names": [
        "Red Hat OpenShift Logging"
      ],
      "package": "cluster-logging",
      "version": "6.6",
      "status": "Full Support",
      "ocp_versions": [
        "4.20",
        "4.21",
        "4.22"
      ],
      "phases": [
        {
          "name": "General availability",
          "start_date": "N/A",
       
DEBUG openai.agents: Starting turn 5, current_agent=lightspeed
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.TurnSpanData object at 0x7fdc6f97f110>
DEBUG openai.agents: No conversation_id available for request
DEBUG openai.agents: Tracing is disabled. Not creating span <agents.tracing.span_data.ResponseSpanData object at 0x7fdc6f97ce10>
DEBUG openai.agents: Calling LLM
INFO httpx: HTTP Request: POST https://api.openai.com/v1/responses "HTTP/1.1 200 OK"
DEBUG openai.agents: Processing output item type=message class=ResponseOutputMessage
DEBUG openai.agents: Turn 5 complete, next_step type=NextStepFinalOutput
DEBUG openai.agents: Resetting current trace
INFO lightspeed_agentic: [provider:run] result: cost=$0.0000, tokens=46832
INFO lightspeed_agentic: [provider:run] output: {"check_completed": true, "both_found": true, "any_eol": false}
INFO lightspeed_agentic: [agent] query complete: success=True, cost=$0.0000
INFO:     Shutting down
INFO:     Waiting for application shutdown.
INFO:     Application shutdown complete.
INFO:     Finished server process [2]

wking
wking reviewed Jul 24, 2026
View reviewed changes
Comment thread cluster-update/product-lifecycle/SKILL.md Outdated
jhadvig pushed a commit to jhadvig/agentic-skills that referenced this pull request Jul 24, 2026
@jrangelramos
Update plc eval test case for per-operator version verdicts
c890c41 
Align plc_proposal_olm_batch_check with the new olm-check output
from openshift#43: test the version-aware found/not-found split instead of
the old all-versions dump.

Changes:
- Switch cluster-logging to v6.3.1 (tracked but not OCP 4.21 compatible)
- Replace operators_with/without_lifecycle_data with three finer counts:
  api_tracked (4), version_tracked (3), ocp_compatible (2)
- Update query to ask for per-version and compatibility breakdown
@jrangelramos
jrangelramos force-pushed the fix/olm-check-per-operator-verdicts branch from 922f52f to 9febc34 Compare July 24, 2026 11:59
harche
harche suggested changes Jul 24, 2026
View reviewed changes

@harche harche left a comment

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Thanks, the per operator verdict approach is a real improvement. I validated this branch against the live API before reviewing: the api_all() switch has value beyond the stated fix, since the old code misses openshift-pipelines-operator-rh entirely while this branch finds it, and the unfiltered endpoint does return all 236 products in one unpaginated response, so that assumption holds. Inline comments follow, one of them is a live crash.

One thing I could not attach inline because the file is not part of this diff: this branch produces the 3/2 split you describe (compliance 1.9, cluster-logging 6.5 and pipelines 1.22 are all tracked today), but the committed eval expects operators_without_lifecycle_data: 3, so it fails even with this fix:

https://github.com/openshift/agentic-skills/blob/main/evals/skills/product-lifecycle/test_cases.yaml#L50-L53

Ground truth drifted since the eval was written (compliance-operator 1.9 got added to the API), so the follow up eval update needs a number change, not just a rerun, and live data drift may keep biting these evals.

Happy to approve once the crash and the lifecycle_unavailable mismatch are addressed, both are small fixes plus test updates.

Comment thread cluster-update/product-lifecycle/scripts/plc_lookup.py Outdated
Comment thread cluster-update/product-lifecycle/scripts/plc_lookup.py
Comment thread cluster-update/product-lifecycle/scripts/plc_lookup.py
Comment thread cluster-update/product-lifecycle/scripts/tests/test_plc_lookup.py Outdated
Comment thread cluster-update/product-lifecycle/SKILL.md Outdated
@jrangelramos jrangelramos mentioned this pull request Jul 24, 2026
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jrangelramos added a commit to jrangelramos/agentic-skills that referenced this pull request Jul 24, 2026
@jrangelramos @claude
Address review feedback from Harshal on PR openshift#43
c4ec733 
- Strip leading 'v' prefix in version normalization (v1.16.0 → 1.16)
- Match API versions with '.x' suffix (1.8.x matches normalized 1.8)
- Guard against missing 'name' key in API version entries to avoid
  KeyError crash on live data (e.g. skupper-operator)
- Derive lifecycle_unavailable from results instead of maintaining a
  separate list, so the summary always agrees with per-result verdicts
- Document both success shapes in SKILL.md (with-version vs no-version)
  to avoid overpromising fields the no-version path doesn't return

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
@jrangelramos
Return per-operator verdicts from olm-check
0b4d49d 
The olm-check command previously dumped all version entries for every
matched package, leaving the LLM to determine whether the specific
installed version was actually tracked. Claude handled this correctly
but gemini and openai miscounted — they saw data for a package and
assumed lifecycle data was available, even when the installed version
was not tracked (e.g. web-terminal v1.16 is not in the API).

Refactor olm-check to return one result per operator. When a version
is provided, the tool normalizes it to major.minor and matches against
API version names. Use a single `error` string field — present means
failure (self-describing), absent means success — so incoherent states
are impossible.

Also switch from api_search("OpenShift") to api_all() so operators
with non-OpenShift product names (e.g. compliance-operator) are not
missed by the name filter.
@jrangelramos
jrangelramos force-pushed the fix/olm-check-per-operator-verdicts branch from c4ec733 to 0b4d49d Compare July 24, 2026 15:15
@harche

harche commented Jul 24, 2026

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/lgtm
/approve

@openshift-ci openshift-ci Bot added the lgtm Indicates that a PR is ready to be merged. label Jul 24, 2026
@openshift-ci

openshift-ci Bot commented Jul 24, 2026

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[APPROVALNOTIFIER] This PR is APPROVED

This pull-request has been approved by: harche, jrangelramos

The full list of commands accepted by this bot can be found here.

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@openshift-ci openshift-ci Bot added the approved Indicates a PR has been approved by an approver from all required OWNERS files. label Jul 24, 2026
@harche

harche commented Jul 24, 2026

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/override ci/prow/evals

this is cluster update related skill change, so I will leave final approval to @wking

/hold

@openshift-ci openshift-ci Bot added the do-not-merge/hold Indicates that a PR should not merge because someone has issued a /hold command. label Jul 24, 2026
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openshift-ci Bot commented Jul 24, 2026

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@harche: /override requires failed status contexts, check run or a prowjob name to operate on.
The following unknown contexts/checkruns were given:

  • ci/prow/evals

Only the following failed contexts/checkruns were expected:

  • ci/prow/eval
  • ci/prow/images
  • pull-ci-openshift-agentic-skills-main-eval
  • pull-ci-openshift-agentic-skills-main-images
  • tide

If you are trying to override a checkrun that has a space in it, you must put a double quote on the context.

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In response to this:

/override ci/prow/evals

this is cluster update related skill change, so I will leave final approval to @wking

/hold

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository.

@harche

harche commented Jul 24, 2026

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/override ci/prow/eval

@openshift-ci

openshift-ci Bot commented Jul 24, 2026

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@harche: Overrode contexts on behalf of harche: ci/prow/eval

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In response to this:

/override ci/prow/eval

Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository.

@openshift-ci

openshift-ci Bot commented Jul 24, 2026

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@jrangelramos: all tests passed!

Full PR test history. Your PR dashboard.

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Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. I understand the commands that are listed here.

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@fao89 fao89 Awaiting requested review from fao89
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@wking wking wking left review comments
@harche harche harche requested changes
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@jrangelramos @openshift-ci-robot @harche @wking