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Merge branch 'main' of github.com:zenml-io/zenml-projects
2 parents d9025e5 + cf091d0 commit 5cae76d

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.github/workflows/production_run_complete_llm.yml

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@@ -57,4 +57,4 @@ jobs:
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- name: Run pipeline, create pipeline, configure trigger (Production)
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working-directory: ./llm-complete-guide
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run: |
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python gh_action_rag.py --no-cache --create-template --event-source-id --service-account-id ${{ env.ZENML_SERVICE_ACCOUNT_ID }} --action-id ${{ env.ZENML_ACTION_ID }} --config production/rag.yaml --zenml-model-version production
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python gh_action_rag.py --no-cache --create-template --event-source-id ${{ env.ZENML_EVENT_SOURCE_ID }} --service-account-id ${{ env.ZENML_SERVICE_ACCOUNT_ID }} --config production/rag.yaml --zenml-model-version production
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0.68.1
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0.66.0

llm-complete-guide/configs/dev/rag.yaml

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@@ -15,6 +15,7 @@ settings:
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- ratelimit
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- rerankers
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- pygithub
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- rerankers[flashrank]
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environment:
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ZENML_PROJECT_SECRET_NAME: llm_complete
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ZENML_ENABLE_RICH_TRACEBACK: FALSE

llm-complete-guide/configs/production/rag.yaml

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@@ -15,6 +15,7 @@ settings:
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- ratelimit
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- rerankers
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- pygithub
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- rerankers[flashrank]
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environment:
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ZENML_PROJECT_SECRET_NAME: llm_complete
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ZENML_ENABLE_RICH_TRACEBACK: FALSE

llm-complete-guide/configs/staging/rag.yaml

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@@ -15,13 +15,15 @@ settings:
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- ratelimit
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- rerankers
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- pygithub
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- rerankers[flashrank]
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environment:
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ZENML_PROJECT_SECRET_NAME: llm_complete
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ZENML_ENABLE_RICH_TRACEBACK: FALSE
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ZENML_LOGGING_VERBOSITY: INFO
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python_package_installer: "uv"
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parent_image: "339712793861.dkr.ecr.eu-central-1.amazonaws.com/zenml:llm_index_and_evaluate-orchestrator"
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skip_build: true
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steps:
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url_scraper:
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parameters:

llm-complete-guide/gh_action_rag.py

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@@ -96,12 +96,13 @@ def main(
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no_cache (bool): If `True`, cache will be disabled.
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config (str): The path to the configuration file.
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create_template (bool): If `True`, a run template will be created.
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action_id (str): The action ID.
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service_account_id (str): The service account ID.
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event_source_id (str): The event source ID.
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zenml_model_name (str): The ZenML model name.
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zenml_model_version (str): The ZenML model version.
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"""
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pipeline_args = {"enable_cache": not no_cache}
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client = Client()
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config_path = Path(__file__).parent / "configs" / config
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)
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if create_template:
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# run pipeline
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# Run pipeline
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run = llm_index_and_evaluate.with_options(
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model=zenml_model,
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config_path=str(config_path),
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name_id_or_prefix="LLM Complete (production)",
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allow_name_prefix_match=True,
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)
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except ZenKeyError:
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except KeyError:
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if not event_source_id:
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raise RuntimeError(
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"An event source is required for this workflow."

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