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0886e5f3bc
docs: update README and SHOWCASE for kOREInference + core/outlier analysis
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036a84cc76
docs: add min_coverage to MCP tool + README, include core in output
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9045769d57
feat: core+outlier analysis via min_coverage parameter, 6 new tests
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edd6d9d4dd
feat: implement kOREInference (Algorithm 4) with MDL scoring, add to ensemble, 79 tests
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dc559a4aee
fix badge position; purge remaining German user-reference comments
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6b60e0131f
clean up agent-betraying comments; fix stale test names
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remove pull:true (image cached now)
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force pull of dervish-ci:latest
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use pre-built dervish-ci image with pytest; no pip install in pipeline
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fix pipeline: editable install; add CI badge to README
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add Woodpecker CI: run tests on push/pull/manual
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remove redundant infer_grammar tool; update docs to single-tool MCP
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Update README.md
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purge make_charts.py, examples/, full-text papers, blog_post (moved to ~/Desktop/kesai/); translate German CLI to English
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replace logo with dervis_logo.png; add to SHOWCASE.md and blog_post.md
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remove context-cost chart (too blatant)
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deduplicate: replace detailed Real-world Results with summary table linking to SHOWCASE.md
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rename to Dervish MCP; expand description with token-savings framing; add xkcd-style bar charts; link papers to actual URLs
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6d1c033267
remove Terraform showcase (everything-optional grammar isn't useful); fix GHA scope claim
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move format-specific adapters to examples/, purge format-specific MCP tools
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purge Portainer references, format-specific tools, and Domain Adapters section; make showcases concrete with extracted types
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Rename to Dervish, add animated logo to README
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a8a8bddb37
Move MCP server to top of README — it's the primary interface
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Restructure: MCP Server first (with agent workflow example), then
Why grammar inference / showcases, then Quick Start, then details.
This matches how users actually interact with the project: via MCP tools.
2026-07-01 10:18:10 +02:00
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9f5bde22d5
Remove bugs section (implementation bugs, not paper bugs), remove Docker Compose (private data), add Portainer templates, fix geerlingguy claim precision
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Blog post: remove 'The bugs we found' section (all 4 bugs were from our implementation, not the paper algorithms). Replace company data references in MCP section with Galaxy example. Update ensemble dynamics table with public datasets.
README: replace Docker Compose with Portainer templates in 'Why grammar inference?' table, Real-world Results, and Domain Adapters.
SHOWCASE: replace Docker Compose with Portainer templates.
All claims verified: no public documentation of geerlingguy module ordering convention exists.
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547376894c
Update README and SHOWCASE with real-world dataset evaluations
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README:
- Replace outdated company benchmarks with public showcases
- Add Algorithm Selection Guide
- Add 'When each algorithm wins' table
- Add 'Why grammar inference?' table with value prop for LLMs
- Add 'What doesn't work' section documenting failed approaches
- Update all domain adapter examples with public results
- Clean up outdated references (companyweb roles, hashistack terraform)
SHOWCASE:
- Add Helm (kube-prometheus-stack) with iDRegEx minimal core
- Add Docker Compose per-project patterns
- Add GitHub Actions cross-project Go lint pattern
- Add Terraform modules with vocabulary analysis
- Add 'What doesn't work' section
- Explain WHY each dataset helps an LLM
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0e2aec582b
Grammar inference engine: CRX + iDRegEx ensemble with MDL scoring, MCP server, showcase, and blog post
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- Ensemble inference (infer_ensemble) runs both CRX and iDRegEx, picks best by MDL
- CRX: CRX algorithm for wide coverage (accepts all sequences, large vocabulary)
- iDRegEx: iDRegEx for minimal core grammar (tightest common pattern)
- MDL scoring: fixed model_cost to count alphabet symbol occurrences, fixed dispatch order in _count_words_fast
- Fixed _match_tokens: rewritten as _match_possible with proper backtracking
- Fixed _parse_parts disjunction: children use _parse_flat_symbol to avoid dot-splitting
- MCP server: infer_best_grammar and infer_grammar tools
- Added prefer parameter (crx/idregex) to skip ensemble
- 28 passing tests
- SHOWCASE.md with Geerlingguy Galaxy demonstration
- blog_post.md with full technical deep-dive
2026-07-01 09:51:41 +02:00
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a1567bffbe
Add bin/mcp-server wrapper script for robust path resolution
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Avoids module shadowing when CWD contains another bex package.
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adc52c99ec
Add MCP server: grammar inference via FastMCP
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- bex/mcp_server.py: FastMCP server with 3 tools:
* infer_grammar(sequences, method='crx'|'idregex')
* infer_yaml_grammar(yaml_dir, pattern, method)
* infer_ansible_role_grammar(roles_dir)
- pyproject.toml: add bex-mcp console_scripts entry point
2026-07-01 08:03:10 +02:00
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7c00c6713d
Initial commit: BEX-based grammar inference engine
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- CRX: direct CHARE inference (Algorithm 7, TODS 2010)
- iDRegEx: k-ORE inference (Algorithm 4, arXiv 2010)
- RWR₀: SORE repair (Algorithm 6, TODS 2010)
- rwr²: k-ORE extraction (Algorithm 3, arXiv 2010)
- SOA, k-OA, iKoa, 2T-INF, Baum-Welch
- Ansible role grammar adapter
- Generic YAML key-path converter
- 28 tests, all passing
2026-07-01 08:01:16 +02:00
