mirror of
https://github.com/hanzoai/insights.git
synced 2026-10-30 16:15:31 +00:00
zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
15 lines
872 B
Python
15 lines
872 B
Python
# Key on this canonical event only — also matching the legacy `mcp_tool_call` alias
|
|
# (frozen, pre-2026-06-16 history) would double-count every call.
|
|
MCP_TOOL_CALL_EVENT = "$mcp_tool_call"
|
|
MCP_MISSING_CAPABILITY_EVENT = "$mcp_missing_capability"
|
|
# Emitted per tools/list response; carries $mcp_listed_tool_names (the advertised catalog).
|
|
MCP_TOOLS_LIST_EVENT = "$mcp_tools_list"
|
|
|
|
# Intent cluster snapshots are stored as one JSON blob and served unpaginated,
|
|
# so cap how many clusters (ranked by call volume) a snapshot carries. A
|
|
# degenerate clustering run can label nearly every intent as its own cluster —
|
|
# hundreds of near-singleton clusters make a multi-MB payload the UI then has
|
|
# to render in one go. Lives here (not intent_clustering.py) so the API read
|
|
# path can import it without pulling sklearn/numpy into the request path.
|
|
MAX_SNAPSHOT_CLUSTERS = 100
|