## The problem
Issue chroma-core/chroma#1429 (closed, 22 comments): ### What happened? Created a service. Deployed directly docker from Docker Hub. Now trying connect via HttpClient: ``` chroma_client = chromadb.HttpClient(host="[MY_HOST]", port='443', ssl=True, settings=Settings(allow_reset=True, anonymized_telemetry=False), headers={'authorization': 'PASS'}) ``` ### Versions PYTHON_VERSION=3.10.13 chromadb 0.4.18 ### Relevant log output #### Client size ```shell HTTPError Traceback (most recent call last) /usr/local/lib/python3.10/dist-packages/chromadb/api/fastapi.py in raise_chroma_error(resp) 627 try: --> 628 resp.raise_for_status() 629 except requests.
## What to do
Deploying chromadb 0.4.18 on Google Cloud Run and hitting HTTPError on client connect plus permissions errors downloading the embedding model: maintainer-verified fixes. 1) allow_reset is a server-side setting: set env var ALLOW_RESET=TRUE on the Cloud Run service. 2) Downgrade the Cloud Run build pack to Python 3.11 (3.12 broke it). 3) Install onnxruntime and tokenizers (missing OTEL deps in chromadb-client also caused failures). 4) Set ef.DOWNLOAD_PATH = "models/ONNXMiniLM_L6_V2" to a writable path. Caveat: downloading an 80MB model on every cold start is a non-starter on serverless, so for production switch the embedding function to an external API (OpenAI, Cohere, Vertex, or HuggingFace) instead of the local ONNX model.