Adds docs/translations/README.uz-UZ.md and inserts an entry for
🇺🇿 Oʻzbekcha into the language navigation bar of README.md and all
27 existing translations.
Co-authored-by: Javokhir Sherbaev <javokhir.sherbaev@noveogroup.com>
The current install writes "ALWAYS read graphify-out/GRAPH_REPORT.md
before reading any source files, running grep/glob searches, or
answering codebase questions" into CLAUDE.md and equivalents, plus a
PreToolUse hook with the same instruction. On real corpora that report
is 47-91K characters, so Claude Code sessions pay roughly 12-25K tokens
of context up front for every search-able question. Three users on #580
reported this making token usage worse than no install at all.
Reproduced on a 1500-file Go monorepo: a "where is X defined" question
takes 5 tool calls and 34k agent tokens with stock graphify, 4 calls
and 30k tokens with no install, and 1 call and 30k tokens after this
patch. Stock graphify's Read of GRAPH_REPORT.md hit Claude Code's 25k
token cap and failed entirely, then recovered via a partial read plus
graphify explain.
Demote GRAPH_REPORT.md to a fallback for broad architecture review and
route first action to the existing scoped commands: graphify query,
path, explain. The 2k-budget BFS subgraph already exists in serve.py;
the install just wasn't pointing at it.
Updated across all ten install surfaces: _SETTINGS_HOOK,
_CLAUDE_MD_SECTION, _AGENTS_MD_SECTION, _GEMINI_MD_SECTION,
_GEMINI_HOOK, _VSCODE_INSTRUCTIONS_SECTION, _ANTIGRAVITY_RULES,
_KIRO_STEERING, _CURSOR_RULE, _OPENCODE_PLUGIN_JS. Plus the matching
sentence in README.md, which also fixes an inaccuracy about Codex
hooks (Codex's installed hook is intentionally a no-op because Codex
rejects additionalContext, so the guidance there comes from AGENTS.md,
not the hook).
Five installers (claude, agents, vscode, gemini, kiro, cursor) were
also writing their section only when no marker was present, so users
who installed pre-fix kept the old "ALWAYS read" text after upgrading.
Added _replace_or_append_section helper that updates in place when the
graphify marker is found. claude_install also no longer returns before
re-running _install_claude_hook, so stale settings.json hook payloads
get refreshed on upgrade.
Tests:
- tests/test_install_strings.py (3): every install constant still
mentions `graphify query` and matches no banned report-first regex.
- tests/test_install_upgrade.py (7): seeds each platform's instruction
file with pre-fix text, runs install, asserts the on-disk file
reflects the new policy.
- test_claude_md.py idempotency tests still pass.
Fixes#580.
The initial Gemini backend defaulted to 2.5 Flash, but large semantic extraction chunks can benefit from newer models and more output headroom. Move the default to Gemini 3 Flash Preview, add CLI and environment model overrides, and increase the Gemini completion budget while keeping low reasoning effort for cost control.
Constraint: Google exposes Gemini through an OpenAI-compatible chat-completions endpoint
Rejected: Hardcode Gemini 3.1 Pro as the default | higher cost for routine repository indexing
Confidence: medium
Scope-risk: narrow
Directive: Keep --model and GRAPHIFY_GEMINI_MODEL working before changing Gemini defaults again
Tested: uv run --directory vendor/graphify pytest tests/test_llm_backends.py tests/test_chunking.py -q
Not-tested: Live Gemini 3 extraction on the full cloud-edge repo before this commit
Gemini is often the cheaper available quota for low-stakes semantic graph extraction, while OpenAI is a useful fallback. Extend the direct extraction backend registry, CLI validation, docs, and tests so headless extraction can use GEMINI_API_KEY, GOOGLE_API_KEY, or OPENAI_API_KEY without changing the existing Claude and Kimi paths.
Constraint: Gemini supports OpenAI-compatible chat completions at the Google generative-language endpoint
Rejected: Native google-genai integration | higher dependency and response-shape churn for the same chat-completions path
Confidence: medium
Scope-risk: moderate
Directive: Keep backend detection explicit and test every accepted API-key environment variable before adding new providers
Tested: uv run --directory vendor/graphify pytest tests/test_llm_backends.py tests/test_chunking.py -q
Not-tested: Live Gemini/OpenAI API calls; no GEMINI_API_KEY or OPENAI_API_KEY present in this environment
- Add Fortran support (26th language): .f/.F/.f90/.F90/.f95/.F95/.f03/.F03/.f08/.F08
via tree-sitter-fortran; capital-F files preprocessed with cpp -w -P
- Add graphify export {html,obsidian,wiki,svg,graphml,neo4j} CLI subcommands
- Add graphify query/path/explain CLI subcommands
- Reduce skill.md from 63KB to 47KB by replacing Python heredocs with CLI calls
- Extend to_html() with node_limit param for auto-aggregation on large graphs
- Add integration tests for all export/query/path/explain subcommands
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Safi