fix: give elasticsearch/data llm_instructions so it's visible in the system prompt - #2417
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ChangesElasticsearch instruction loading
Estimated code review effort: 1 (Trivial) | ~3 minutes Merge Risk: ⚪ Minimal · up to This change makes the Elasticsearch data toolset visible to the model while preserving its existing callable behavior, with focused tests covering instruction loading; no actionable merge-blocking risk remains after normal checks and review. 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
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…system prompt ElasticsearchDataToolset never called _load_llm_instructions_from_file, unlike every other built-in toolset. _toolsets_instructions.jinja2 only lists a toolset under "Available Toolsets" when it is enabled AND has llm_instructions set, so elasticsearch/data had no representation anywhere in the system prompt despite being fully callable. This causes HolmesGPT to consistently skip it in favor of other configured toolsets, and in some cases fabricate a false "not configured" claim in the final answer. Regression from HolmesGPT#1302, which deleted opensearch_traces.py (whose OpenSearchTracesToolset did call _load_llm_instructions) and replaced it with the current elasticsearch.py without carrying that call over. Fixes HolmesGPT#2416 Signed-off-by: Mahendra Bishnoi <mahendrabishnoi2@gmail.com>
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In
`@holmes/plugins/toolsets/elasticsearch/elasticsearch_data_instructions.jinja2`:
- Line 4: Update the Elasticsearch index-discovery instruction around
elasticsearch_list_indices to require a narrowed pattern and the minimal
necessary columns before querying, rather than allowing broad wildcard
discovery; preserve the existing guidance to use elasticsearch_mappings for
inspecting a specific index.
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📒 Files selected for processing (3)
holmes/plugins/toolsets/elasticsearch/elasticsearch.pyholmes/plugins/toolsets/elasticsearch/elasticsearch_data_instructions.jinja2tests/plugins/toolsets/elasticsearch/test_elasticsearch_data_toolset.py
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_cat/indices has no pagination or size limit, so an unscoped `*` pattern on a cluster with many indices can return a very large response. Addresses a CodeRabbit review comment on PR HolmesGPT#2417. Signed-off-by: Mahendra Bishnoi <mahendrabishnoi2@gmail.com>
Summary
Fixes #2416.
ElasticsearchDataToolsetnever calledself._load_llm_instructions_from_file(...), unlike every other built-in toolset._toolsets_instructions.jinja2only lists a toolset under "Available Toolsets" when it'senabledand hasllm_instructionsset, soelasticsearch/datahad no representation anywhere in the system prompt despite being fully callable via the function API. In practice this causes HolmesGPT to consistently skip it in favor of other configured toolsets, and in some observed runs the model's final answer fabricated a false "not configured" claim to justify the skip.This is a regression from #1302, which deleted
opensearch_traces.py(whoseOpenSearchTracesToolsetdid call_load_llm_instructions) and replaced it with the currentelasticsearch.py, without carrying that call over.Change
ElasticsearchDataToolset.__init__now calls_load_llm_instructions_from_fileafter buildingself.tools, same pattern every sibling toolset uses.elasticsearch_data_instructions.jinja2, kept Elasticsearch/OpenSearch-neutral (no Kibana-specific alerting assumptions), sincedocs/data-sources/builtin-toolsets/elasticsearch.mdstates this toolset supports both backends. The traces guidance line restores what was in the deletedopensearch_traces_instructions.jinja2before Elasticsearch Toolset #1302.tests/plugins/toolsets/elasticsearch/test_elasticsearch_data_toolset.py) assertingllm_instructionsis set, following the same pattern astests/plugins/toolsets/test_victorialogs.py::test_instructions_loaded.ElasticsearchClusterToolsethas the identical gap a few lines below in the same file — not addressed in this PR (see #2416's footnote), but worth a follow-up with its own instructions file.Test plan
pytest tests/plugins/toolsets/elasticsearch/test_elasticsearch_data_toolset.pytests/plugins/toolsets/elasticsearch/,tests/plugins/toolsets/test_elasticsearch_mtls.py) still pass — 17/17--refresh-toolsetsto clear the cached toolset registration), the same prompt correctly callselasticsearch_searchbefore/alongside GitHub, and no false tool-availability claim appears.Summary by CodeRabbit
New Features
Tests