This release is a pre-release and may not be stable for production use.
obsei
Voice of Customer without violating privacy. Open-source, self-hosted, AI-native feedback analytics: collect feedback from every channel and language, redact personal data before it is stored, find stable themes, and let your AI agents answer questions with cited evidence.
1.0 is in pre-release and is not compatible with 0.0.x. Install it with the
>=1.0.0a1specifier; a plainpip install obseistill gives 0.0.15.
pip install "obsei[mcp]>=1.0.0a1" # or: uv tool install "obsei[mcp]>=1.0.0a1"
obsei init
export OBSEI_DB_KEY="$(openssl rand -hex 24)" OBSEI_PSEUDONYM_SALT="$(openssl rand -hex 24)"
obsei try && obsei run
Optional extras: mcp (MCP server, obsei serve), sql, google, apple, names (person-name
redaction), embeddings (multilingual themes).
- Docs: https://docs.obsei.com
- Live demo: https://docs.obsei.com/demo/
- Source: https://github.com/obsei/obsei
- Container:
ghcr.io/obsei/obsei:1.0.0-rc.1
1 maintainer
Metadata
1 maintainer
Release files for obsei 1.0.0rc1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| obsei-1.0.0rc1.tar.gz | 231.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| obsei-1.0.0rc1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 440.4 kB
Release files / obsei-1.0.0rc1.tar.gz
| Download URL | obsei-1.0.0rc1.tar.gz |
|---|---|
| Size | 231.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / obsei-1.0.0rc1-py3-none-any.whl
| Download URL | obsei-1.0.0rc1-py3-none-any.whl |
|---|---|
| Size | 208.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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