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chore(tools-ui): RAG client paths /api/* -> /v1/*

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The hanzo-tools-ui docs-RAG client targets api.hanzo.ai (host already
canonicalized on main). Move the paths off the residual /api/ prefix to
top-level /v1/, matching the cloud-api route rename and the openapi
v1.0.0 lock-in (no /api/ prefix):

  /api/search-docs       -> /v1/search-docs
  /api/chat-docs         -> /v1/chat-docs
  /api/index-docs        -> /v1/index-docs
  /api/search-docs/stats -> /v1/search-docs/stats

Hard cutover, coordinated with hanzoai/cloud (productsvc + ai serve these
at /v1), universe cloud-api-v1 AUTH_PUBLIC_PATHS, hanzo-docs RAG clients,
and the openapi cloud spec.
This commit is contained in:
zeekay
2026-06-30 16:58:58 -07:00
parent 6cb701adc1
commit 4db9f8f78a
1 changed files with 8 additions and 8 deletions
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pkg/hanzo-tools-ui/hanzo_tools/ui/vector_index.py
+8 -8
View File
@@ -1,9 +1,9 @@
"""UI component search via Hanzo Cloud search infrastructure.
Uses the Hanzo Cloud RAG pipeline:
- POST /api/search-docs — hybrid fulltext + vector search
- POST /api/chat-docs — RAG chat with component context
- POST /api/index-docs — index components into the search backend
- POST /v1/search-docs — hybrid fulltext + vector search
- POST /v1/chat-docs — RAG chat with component context
- POST /v1/index-docs — index components into the search backend
Authentication: publishable key (pk-*) for read, API key (hk-*) for write.
"""
@@ -18,10 +18,10 @@ logger = logging.getLogger(__name__)
# Hanzo Cloud search endpoints (canonical front door: api.hanzo.ai)
CLOUD_API = os.environ.get("HANZO_CLOUD_API", "https://api.hanzo.ai")
SEARCH_ENDPOINT = f"{CLOUD_API}/api/search-docs"
CHAT_ENDPOINT = f"{CLOUD_API}/api/chat-docs"
INDEX_ENDPOINT = f"{CLOUD_API}/api/index-docs"
STATS_ENDPOINT = f"{CLOUD_API}/api/search-docs/stats"
SEARCH_ENDPOINT = f"{CLOUD_API}/v1/search-docs"
CHAT_ENDPOINT = f"{CLOUD_API}/v1/chat-docs"
INDEX_ENDPOINT = f"{CLOUD_API}/v1/index-docs"
STATS_ENDPOINT = f"{CLOUD_API}/v1/search-docs/stats"
# Search index for UI components
SEARCH_INDEX = os.environ.get("HANZO_UI_SEARCH_INDEX", "app-ui-hanzo-ai")
@@ -76,7 +76,7 @@ async def chat_about_components(
) -> dict | Any:
"""RAG chat — ask questions about UI components.
Uses Hanzo Cloud's /api/chat-docs which:
Uses Hanzo Cloud's /v1/chat-docs which:
1. Searches the component index for relevant context
2. Passes context + question to the LLM
3. Returns a grounded answer