# BentoML - Doramagic AI Context Pack > Purpose: pre-work context for the user's host AI. This pack does not prove that the project has been installed, run, or validated. ## Project - canonical_name: `bentoml/BentoML` - capability: The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! - expected_user_outcome: The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more! ## Operating Boundaries - Do not claim that the project has been installed, run, called through an API, or used on local files unless separate evidence proves it. - Project facts must come from repo evidence, Claim Graph, or explicit source references. - When a capability is not verified, mark it as unverified instead of completing it as fact. - publish_status: `publishable` - blocking_gaps: none --- ## Doramagic Context Augmentation The following sections strengthen the repository context for a host AI. Human Manual data is a reading route, and pitfall notes become operating constraints. ## Human Manual Outline Usage rule: this is only a reading route and salience signal, not factual authority. Concrete claims must still return to repo evidence or Claim Graph. Host AI hard rules: - Do not treat page titles, section order, summaries, or importance values as factual project evidence. - When explaining the Human Manual outline, state that it is only a reading route or salience signal. - Capability, installation, compatibility, runtime state, and risk claims must cite repo evidence, source paths, or Claim Graph. - **BentoML Overview and Getting Started**: importance `high` - source_paths: README.md, src/bentoml/__init__.py, src/bentoml/__main__.py, docs/source/index.rst, docs/source/get-started/hello-world.rst - **Service Definition, IO Types, and API Protocols (HTTP, gRPC, SSE)**: importance `high` - source_paths: src/_bentoml_sdk/decorators.py, src/_bentoml_sdk/method.py, src/_bentoml_sdk/io_models.py, src/_bentoml_sdk/service/factory.py, src/_bentoml_sdk/service/dependency.py - **Model Store, Bento Build, and Framework Integrations**: importance `high` - source_paths: src/bentoml/_internal/models/model.py, src/_bentoml_sdk/models/base.py, src/_bentoml_sdk/models/huggingface.py, src/bentoml/models.py, src/bentoml/_internal/store.py - **Deployment, Containerization, BentoCloud, and Operations**: importance `high` - source_paths: src/bentoml/_internal/container/frontend/dockerfile/__init__.py, src/bentoml/_internal/container/frontend/dockerfile/templates/base.j2, src/bentoml/_internal/container/frontend/dockerfile/templates/base_v2.j2, src/bentoml/_internal/container/frontend/dockerfile/templates/cuda_debian.j2, src/bentoml/_internal/container/frontend/dockerfile/templates/python_debian.j2 ## Repo Inspection Evidence - repo_clone_verified: true - repo_inspection_verified: true - repo_commit: `73c4dbead99be6515fa25fcd91e348ac30f5c22e` - inspected_files: `pyproject.toml`, `README.md`, `docs/README.md`, `docs/source/conf.py`, `docs/source/data/build-bento-action.yaml`, `docs/source/data/containerize-and-push.yaml`, `docs/source/data/bentoml-setup.yaml`, `docs/source/data/deploy-bento-to-cloud.yaml`, `docs/source/_static/js/custom.js`, `docs/source/build-with-bentoml/snippets/metrics/runner_impl.py`, `docs/source/build-with-bentoml/snippets/metrics/metric_defs.py`, `docs/source/build-with-bentoml/snippets/tracing/bentoml_configuration.yaml`, `docs/source/build-with-bentoml/snippets/tracing/docker-compose.yml`, `docs/source/build-with-bentoml/snippets/grpc/python/request.py`, `docs/source/build-with-bentoml/snippets/grpc/node/request.js`, `examples/README.md`, `src/bentoml_cli/env.py`, `src/bentoml_cli/models.py`, `src/bentoml_cli/deployment.py`, `src/bentoml_cli/env_manager.py` Host AI hard rules: - Without repo_clone_verified=true, do not claim that the source code has been read. - Without repo_inspection_verified=true, do not write README, docs, or package-file conclusions as facts. - Without quick_start_verified=true, do not claim that the Quick Start path has run successfully. ## Doramagic Pitfall Constraints These rules come from Doramagic discovery, validation, or compilation findings. The host AI must treat them as operating constraints, not background notes. ### Constraint 1: Installation risk requires verification - Trigger: Project evidence flags a installation risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/bentoml/BentoML/issues/5466 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 2: Configuration risk requires verification - Trigger: Project evidence flags a configuration risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/bentoml/BentoML/issues/5365 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 3: Capability evidence risk requires verification - Trigger: README/documentation is current enough for a first validation pass. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: capability.assumptions | github_repo:178976529 | https://github.com/bentoml/BentoML - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 4: Runtime risk requires verification - Trigger: Project evidence flags a runtime risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: community_evidence:github | https://github.com/bentoml/BentoML/issues/5625 - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 5: Maintenance risk requires verification - Trigger: Project evidence flags a maintenance risk. Review the linked source before relying on this workflow. - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: evidence.maintainer_signals | github_repo:178976529 | https://github.com/bentoml/BentoML - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 6: Security or permission risk requires verification - Trigger: no_demo - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: downstream_validation.risk_items | github_repo:178976529 | https://github.com/bentoml/BentoML - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 7: Security or permission risk requires verification - Trigger: no_demo - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: risks.scoring_risks | github_repo:178976529 | https://github.com/bentoml/BentoML - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 8: Maintenance risk requires verification - Trigger: issue_or_pr_quality=unknown。 - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: evidence.maintainer_signals | github_repo:178976529 | https://github.com/bentoml/BentoML - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it. ### Constraint 9: Maintenance risk requires verification - Trigger: release_recency=unknown。 - Host AI rule: Reproduce the official install and quickstart path in an isolated environment. - Why it matters: May increase setup, validation, or first-run risk for the user. - Evidence: evidence.maintainer_signals | github_repo:178976529 | https://github.com/bentoml/BentoML - Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.