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# Add MosaicML inference endpoints This PR adds support in langchain for MosaicML inference endpoints. We both serve a select few open source models, and allow customers to deploy their own models using our inference service. Docs are here (https://docs.mosaicml.com/en/latest/inference.html), and sign up form is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not intimately familiar with the details of langchain, or the contribution process, so please let me know if there is anything that needs fixing or this is the wrong way to submit a new integration, thanks! I'm also not sure what the procedure is for integration tests. I have tested locally with my api key. ## Who can review? @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> |
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.. | ||
__init__.py | ||
test_ai21.py | ||
test_aleph_alpha.py | ||
test_anthropic.py | ||
test_anyscale.py | ||
test_banana.py | ||
test_cerebrium.py | ||
test_cohere.py | ||
test_forefrontai.py | ||
test_google_palm.py | ||
test_gooseai.py | ||
test_gpt4all.py | ||
test_huggingface_endpoint.py | ||
test_huggingface_hub.py | ||
test_huggingface_pipeline.py | ||
test_llamacpp.py | ||
test_manifest.py | ||
test_modal.py | ||
test_mosaicml.py | ||
test_nlpcloud.py | ||
test_openai.py | ||
test_openlm.py | ||
test_petals.py | ||
test_pipelineai.py | ||
test_predictionguard.py | ||
test_promptlayer_openai.py | ||
test_propmptlayer_openai_chat.py | ||
test_replicate.py | ||
test_rwkv.py | ||
test_self_hosted_llm.py | ||
test_stochasticai.py | ||
test_writer.py | ||
utils.py |