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downgrade langchain to < 0.2.0 in nlp recipes #83

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downgrade langchain to < 0.2.0 in nlp recipes

downgrade langchain to < 0.2.0 in nlp recipes #83

Triggered via pull request May 21, 2024 16:55
@Gregory-PereiraGregory-Pereira
synchronize #502
downgrade-langchain-in-nlp-recipes
Status Failure
Total duration 24m 53s
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rag.yaml

on: pull_request
rag-build-and-push
24m 37s
rag-build-and-push
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rag-build-and-push
Error: buildah exited with code 1 Trying to pull registry.access.redhat.com/ubi9/python-311:1-62.1714671026... Getting image source signatures Copying blob sha256:334e53210ba193dfd7a8743fb8307de1a7b974a25d5b74cffbda57cf33811f82 Copying blob sha256:029d21a6702914c90da2d5c47fd526942872adae53598ae1efe589bec8f0b2be Copying blob sha256:4736dc14b679eb3fb1cfb3cd07f8551f2959854a19fcfa3afd7c0cbef20e093e Copying blob sha256:1c3df48b696c8fb8970408552610101c10dbbcfeb46eca8175e5953b44e1474c Copying blob sha256:1c3df48b696c8fb8970408552610101c10dbbcfeb46eca8175e5953b44e1474c Copying blob sha256:334e53210ba193dfd7a8743fb8307de1a7b974a25d5b74cffbda57cf33811f82 Copying blob sha256:4736dc14b679eb3fb1cfb3cd07f8551f2959854a19fcfa3afd7c0cbef20e093e Copying blob sha256:029d21a6702914c90da2d5c47fd526942872adae53598ae1efe589bec8f0b2be Copying config sha256:cf9efca57f0f5476b053fb7890c157b9a9a06cd6a23374963004d7e888755402 Writing manifest to image destination Storing signatures No packages marked for removal. --2024-05-21 17:02:15-- https://www.sqlite.org/2023/sqlite-autoconf-3410200.tar.gz Resolving www.sqlite.org (www.sqlite.org)... 45.33.6.223, 2600:3c00::f03c:91ff:fe96:b959 Connecting to www.sqlite.org (www.sqlite.org)|45.33.6.223|:443... connected. HTTP request sent, awaiting response... 200 OK Length: 3125545 (3.0M) [application/x-gzip] Saving to: ‘sqlite-autoconf-3410200.tar.gz’ 0K .......... .......... .......... .......... .......... 1% 682K 4s 50K .......... .......... .......... .......... .......... 3% 1.26M 3s 100K .......... .......... .......... .......... .......... 4% 15.4M 2s 150K .......... .......... .......... .......... .......... 6% 2.26M 2s 200K .......... .......... .......... .......... .......... 8% 3.17M 2s 250K .......... .......... .......... .......... .......... 9% 14.3M 1s 300K .......... .......... .......... .......... .......... 11% 15.4M 1s 350K .......... .......... .......... .......... .......... 13% 15.4M 1s 400K .......... .......... .......... .......... .......... 14% 1.76M 1s 450K .......... .......... .......... .......... .......... 16% 15.6M 1s 500K .......... .......... .......... .......... .......... 18% 15.2M 1s 550K .......... .......... .......... .......... .......... 19% 15.9M 1s 600K .......... .......... .......... .......... .......... 21% 16.0M 1s 650K .......... .......... .......... .......... .......... 22% 15.9M 1s 700K .......... .......... .......... .......... .......... 24% 15.8M 1s 750K .......... .......... .......... .......... .......... 26% 15.8M 1s 800K .......... .......... .......... .......... .......... 27% 12.3M 1s 850K .......... .......... .......... .......... .......... 29% 3.85M 1s 900K .......... .......... .......... .......... .......... 31% 15.3M 1s 950K .......... .......... .......... .......... .......... 32% 15.6M 0s 1000K .......... .......... .......... .......... .......... 34% 15.4M 0s 1050K .......... .......... .......... .......... .......... 36% 16.4M 0s 1100K .......... .......... .......... .......... .......... 37% 15.8M 0s 1150K .......... .......... .......... .......... .......... 39% 15.9M 0s 1200K .......... .......... .......... .......... .......... 40% 12.6M 0s 1250K .......... .......... .......... .......... .......... 42% 16.4M 0s 1300K .......... .......... .......... .......... .......... 44% 15.4M 0s 1350K .......... .......... .......... .......... .......... 45% 16.1M 0s 1400K .......... .......... .......... .......... .......... 47% 15.6M 0s 1450K .......... .......... .......... .......... .......... 49% 16.1M 0s 1500K .......... .......... .......... .......... .......... 50% 16.3M 0s 1550K .......... .......... .......... .......... .......... 52% 16.5M 0s 1600K .......... .......... .......... .......... .......... 54% 12.7M 0s 1650K .......... .......... .......... .......... .......... 55% 16.4M 0s 1700K .......... .......... .......... .......... .......... 57% 16.6M 0s 1750K .......... .......... .......... ..........