Release 0.4.4

Full Changelog: v0.4.3...v0.4.4

Release 0.4.3

Full Changelog: v0.4.2...v0.4.3

Release 0.4.2

Full Changelog: v0.4.1...v0.4.2

Release 0.4.1

What's Changed

• ci: fix XPU Docker build (disk space + torch 2.13) + idempotent release by @bjoernbethge in #36

Full Changelog: v0.4.0...v0.4.1

v0.4.0

[0.4.0] - 2026-07-15

Added

• Parametric heat-rod control feature (marimo_flow.control.heat_rod, control.pinn_surrogate): explicit FTCS ground-truth plant (FiniteDifferenceHeatRod), a parametric PINN problem builder (build_heat_rod_problem_spec — T(x,t,u) with the right-boundary temperature T(1,t,u)=u as the control input), an MLP reduced-order surrogate (train_step_surrogate), and a PINN field-mean → scalar rollout surrogate (make_pinn_rollout_surrogate / register_pinn_surrogate) for MPC horizon planning.
• Composition-first control inputs: ControlParameterSpec + ProblemSpec.control_parameters (exogenous MPC inputs merged into domain_bounds and sampled during PINN training) and a parametric_dirichlet ConditionSpec.kind that pins an output field to a sampled input axis (output_field = u).
• register_pinn_surrogate_tool on the control toolset — wraps a trained PINN solver as an MPC surrogate in deps.registry.

Changed

• Dependencies refreshed via uv lock --upgrade: pydantic-ai-slim 1.84 → 2.10, torch 2.11 → 2.13, mlflow 3.11 → 3.13, transformers 5.5 → 5.13, PINA 0.2.6 → 0.3.1, marimo 0.23.1 → 0.23.9, plus transitive bumps.
• Migrated to the PINA 0.3 API: DomainInterface moved to pina.domain, FixedValue to pina.equation.zoo, AbstractProblem → BaseProblem, the PINN-family solvers aliased to their renamed *SingleModelSolver forms, and discretise_domain() no longer accepts domains="all" (the default now samples all domains). pytest is warning-free again.
• pydantic-ai upgraded to 2.x: the bundled a2a extra was dropped, so fasta2a is now an explicit direct dependency (the agent_to_a2a API is unchanged); the pydantic-ai-slim floor is bumped to >=2.10.0 and the [ag-ui] extra retained.
• Agent graph migrated to the builder-based pydantic-graph API: build_graph() now uses GraphBuilder, registering the nine v1 BaseNode nodes as-is via g.node(...). New agents.runner.run_graph drives the run (graph.run / graph.iter) and logs FlowState snapshots to MLflow under agent_state/, replacing the deprecated BaseNode-Graph runner + its persistence machinery.
• MCP builders migrated to MCPToolset (from deprecated MCPServerStreamableHTTP / MCPServerStdio); transport assertions now probe toolset.client.transport.
• A2A / AG-UI servers migrated off the deprecated Agent.to_a2a() / Agent.to_ag_ui(): A2A uses fasta2a.pydantic_ai.agent_to_a2a, AG-UI is a bare Starlette app dispatching to AGUIAdapter.dispatch_request (the previously-xfailed AG-UI ASGI test now passes).
• mlflow.pydantic_ai.autolog() is on by default — mlflow ≥ 3.11.2 fixed the circular-reference crash (mlflow#22693), now falling back to a repr dump. Opt out with MLFLOW_PYDANTIC_AI_AUTOLOG=0.
• README reframed as an agentic scientific-computing platform; pyproject.toml description + keywords and the GitHub repo About/topics updated to match.
• README gained an architecture diagram (natural language → pydantic-ai → PINA / MLflow / marimo), a consolidated stack table (pydantic-ai, PINA + PyTorch, MLflow, DuckDB, Polars, Plotly, marimo, MCP, Docker CPU/CUDA/XPU), and a Claude Code integration section covering the marimo MCP server + the marimo-pair live-kernel workflow.
• Cleared pre-existing ruff findings surfaced by the ruff bump (typer B008 via extend-immutable-calls, SIM300, B017); ruff check is clean again.

Removed

• MLflowStatePersistence (pydantic-graph persistence backend) — the builder runner exposes no persistence hook; FlowState snapshotting moved into agents.runner.

Release 0.3.1

Full Changelog: v0.3.0...v0.3.1

Release 0.3.0

What's Changed

• Fix security vulnerabilities: update vulnerable dependencies by @bjoernbethge in #25
• chore(deps): bump the uv group across 1 directory with 3 updates by @dependabot[bot] in #24
• chore(deps): bump the uv group across 1 directory with 6 updates by @dependabot[bot] in #26
• chore(deps): bump the uv group across 1 directory with 4 updates by @dependabot[bot] in #27
• feat(agents): PINA multi-agent team with pydantic-graph + MLflow + A2A/AG-UI by @bjoernbethge in #33

Full Changelog: v0.2.0...v0.3.0