docs(thesis): reconcile scheduling evidence and remove orphaned paragraph
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@@ -519,10 +519,9 @@ records. An external agent can use the same client operations. Evaluating these
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interfaces requires observing how authors discover operations, repair
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definitions, and interpret results.
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Model Context Protocol (MCP) supplies another part of the integration: access
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to tools, resources, and prompts [@mcp-tools-2025; @mcp-lifecycle-2025]. A
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configured MCP source can supply operations and readable content. The workflow
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runtime determines routing and state updates independently of that protocol.
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A configured Model Context Protocol (MCP) source supplies operations and
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readable content; the workflow runtime determines routing and state updates
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[@mcp-tools-2025; @mcp-lifecycle-2025].
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# Conceptual Model
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@@ -1710,8 +1709,8 @@ deployment, execution,
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refresh, and trace inspection, while excluding network startup and transport
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behavior from the observation.
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[@tbl:prototype-conformance] records the concrete checks performed by that
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session. The fixture expectations are fixed independently of the workflow's
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[@tbl:prototype-conformance] records the requirement-linked checks performed
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by that session. The fixture expectations are fixed independently of the workflow's
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result, and stored output is inspected again through the API.
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| Check | Expected observation | Requirement |
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@@ -2004,13 +2003,15 @@ all listed suites passed in one newly recorded full-system run.
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## Core workflow lifecycle
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**E1**: artifacts, deployments, stopped runs, and explicit resume boundaries.
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**E1**: artifacts, deployments, scheduled execution, stopped runs, and explicit
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resume boundaries.
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- `src/wf_artifacts/models.py`
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- `src/wf_artifacts/runs/`
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- `src/wf_api/run_lifecycle.py`
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- `tests/wf_api/test_artifact_api.py`
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- `tests/wf_api/test_run_api.py`
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- `tests/examples/test_scheduled_deployment_example.py`
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## Python authoring and inspection
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