# Fail to set SSO plugin with the tutorial. **URL:** \ **Category:** Uncategorized\ **Tags:** plugin, deployment\ **Created:** [November 29, 2024, 1:28pm UTC](https://support.prodi.gy/t/fail-to-set-sso-plugin-with-the-tutorial/7447 "2024-11-29T13:28:02Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![konstantin-verner-ma](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/konstantin-verner-ma/32/4539_2.png) [@konstantin-verner-ma](https://support.prodi.gy/u/konstantin-verner-ma)\ **Post date:** [November 29, 2024, 1:28pm UTC](https://support.prodi.gy/t/fail-to-set-sso-plugin-with-the-tutorial/7447/1 "2024-11-29T13:28:02Z")
I am trying to set SSO plugin for my prodigy server by following this tutorial: [Single Sign-On with OpenID Connect · Prodigy · An annotation tool for AI, Machine Learning & NLP](https://prodi.gy/docs/sso) Before setting my company's SSO on-prem , I am trying to reproduce the tutorial with Auth0 on Github Codespace, however I can not do that. First, I set my application on auth0, I test it, it works when I set a toy server with fastapi. Second, I set prodigy: ```python > python3.11 -m pip show prodigy --- Name: prodigy Version: 1.12.7 Summary: Radically efficient machine teaching. Home-page: https://prodi.gy Author: Explosion Author-email: contact@explosion.ai License: All rights reserved Location: /home/codespace/.local/lib/python3.11/site-packages Requires: aiofiles, cachetools, catalogue, fastapi, jinja2, peewee, plac, pydantic, pyjwt, python-dotenv, requests, spacy, srsly, toolz, tqdm, typeguard, typing-extensions, uvicorn, wasabi Required-by: ``` and plugins: ```python > python3.11 -m pip show prodigy_company_plugins --- Name: prodigy-company-plugins Version: 0.2.1 Summary: Company License plugins for the Prodigy Data Annotation Tool. Home-page: https://prodi.gy Author: Explosion Author-email: contact@explosion.ai License: All rights reserved Location: /home/codespace/.local/lib/python3.11/site-packages Requires: cryptography, httpx Required-by: ``` I set the environment variables: ```python PRODIGY_OIDC_AUTH_ENABLED=1 PRODIGY_OIDC_DISCOVERY_URL="https://dev-***.us.auth0.com/.well-known/openid-configuration" PRODIGY_OIDC_CLIENT_ID=*** PRODIGY_OIDC_CLIENT_SECRET=*** PRODIGY_OIDC_REQUIRED_SCOPES="openid email" PRODIGY_LOGGING="verbose" PRODIGY_LOG_LOCALS=1 PRODIGY_DEPLOYED_URL="https://scaling-fortnight-x5g7x4qxg44cpgj5-8080.app.github.dev" PRODIGY_HOST="0.0.0.0" PRODIGY_PORT=8080 ``` Finally, I run prodigy server: ```python > dotenv run -- python3.11 -m prodigy ner.manual ner_news_headlines blank:en ./news_headlines.jsonl --label PERSON,ORG,PRODUCT,LOCATION --- 13:21:11: INIT: Setting all logging levels to 10 13:21:12: RECIPE: Calling recipe 'ner.manual' Using 4 label(s): PERSON, ORG, PRODUCT, LOCATION 13:21:12: RECIPE: Starting recipe ner.manual 13:21:12: {'dataset': 'ner_news_headlines', 'spacy_model': 'blank:en', 'source': './news_headlines.jsonl', 'loader': None, 'label': ['PERSON', 'ORG', 'PRODUCT', 'LOCATION'], 'patterns': None, 'exclude': None, 'highlight_chars': False} 13:21:12: RECIPE: Annotating with 4 labels 13:21:12: ['PERSON', 'ORG', 'PRODUCT', 'LOCATION'] 13:21:12: get_stream: Loading .jsonl file 13:21:12: get_stream: Rehashing stream 13:21:12: get_stream: Removing duplicates 13:21:12: CONFIG: Using config from global prodigy.json 13:21:12: /home/codespace/.prodigy/prodigy.json 13:21:12: VALIDATE: Validating components returned by recipe 13:21:12: CONTROLLER: Initialising from recipe 13:21:12: {'before_db': None, 'config': {'lang': 'en', 'labels': ['PERSON', 'ORG', 'PRODUCT', 'LOCATION'], 'exclude_by': 'input', 'ner_manual_highlight_chars': False, 'dataset': 'ner_news_headlines', 'recipe_name': 'ner.manual'}, 'dataset': 'ner_news_headlines', 'db': True, 'exclude': None, 'get_session_id': None, 'metrics': None, 'on_exit': None, 'on_load': None, 'progress': , 'self': , 'session_factory': None, 'stream': , 'task_router': None, 'update': , 'validate_answer': None, 'view_id': 'ner_manual'} 13:21:12: VALIDATE: Creating validator for view ID 'ner_manual' 13:21:12: VALIDATE: Validating Prodigy and recipe config 13:21:12: PREPROCESS: Tokenizing examples (running tokenizer only) 13:21:12: FILTER: Filtering duplicates from stream 13:21:12: {'by_input': True, 'by_task': True, 'stream': <_cython_3_0_0b3.generator object at 0x74d9f1087ac0>, 'warn_fn': >, 'warn_threshold': 0.4} 13:21:12: FILTER: Filtering out empty examples for key 'text' 13:21:12: CONFIG: Using config from global prodigy.json 13:21:12: /home/codespace/.prodigy/prodigy.json 13:21:12: DB: Initializing database SQLite 13:21:12: DB: Connecting to database SQLite 13:21:12: DB: Creating unstructured dataset '2024-11-29_13-21-12' 13:21:12: {'created': datetime.datetime(2024, 11, 29, 10, 15, 21)} 13:21:12: CORS: initialized with wildcard "*" CORS origins ✨ Starting the web server at http://0.0.0.0:8080 ... Open the app in your browser and start annotating! INFO: Started server process [11305] INFO: Waiting for application startup. INFO: Application startup complete. INFO: Uvicorn running on http://0.0.0.0:8080 (Press CTRL+C to quit) INFO: 10.240.0.69:0 - "GET / HTTP/1.1" 200 OK INFO: 10.240.0.69:0 - "GET /bundle.js HTTP/1.1" 200 OK ``` So, I have no indication whether or not SSO is set (it would be handy to have warnings that SSO config is not set correctly). I can access the prodigy page without redirect. Where I fail to follow the tutorial? ---
**Author:** ![magdaaniol](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/magdaaniol/32/2787_2.png) [@magdaaniol](https://support.prodi.gy/u/magdaaniol)\ **Post date:** [December 2, 2024, 10:28am UTC](https://support.prodi.gy/t/fail-to-set-sso-plugin-with-the-tutorial/7447/2 "2024-12-02T10:28:20Z")
Welcome to the forum @konstantin-verner-ma 👋 According to our [changelog](https://prodi.gy/docs/changelog#v1.15.0), this plugin requires Prodigy version 1.15.0 or higher to function properly. I apologize that this wasn't more clearly indicated - we're working on adding better version compatibility warnings. To upgrade Prodigy, you can use this command: ```bash python -m pip install --upgrade prodigy --extra-index-url https://XXXX-XXXX-XXXX-XXXX@download.prodi.gy ``` If you're unable to upgrade because your license is older than one year, you can purchase a 12-month extension at [Get Prodigy · Prodigy · An annotation tool for AI, Machine Learning & NLP](https://prodi.gy/buy). Please let me know if you need any help with the upgrade process.