This release is a pre-release and may not be stable for production use.
EDA Bridge Runtime
eda-bridge-runtime is an agent-neutral execution layer for EDA automation.
It gives local and SSH-driven bridges the same request envelope, durable job
semantics, context handoff, timing evidence, and append-only execution ledger.
The runtime is intentionally not an EDA bridge and not an AI harness. Vendor bridges keep their native API knowledge. Agents state a short purpose; the runtime records what was requested, what actually ran, how long each phase took, and what result or artifact was produced.
Design promises
- Local and SSH execution use one protocol and one evidence model.
- Every agent-originated operation carries a concise
purpose. - Actor metadata is collected automatically where possible and records its provenance; missing metadata never blocks engineering work.
- Mutating requests are idempotent and auditable.
- Disconnection does not imply that a long EDA job failed.
- Context tokens contain locators and fingerprints, never credentials.
- EDA-specific behavior lives in adapters, not in the runtime core.
Current alpha
0.1.0a5 adds agent-host lifecycle auditing without changing tool permissions. Codex hooks record
session, turn, model, permission mode, tool-call identity, concise purpose, and a content hash before
an EDA Runtime call, then link the completed call to its actual Run. The audit is append-only,
hash-chained, and stores neither raw operation payloads nor chat transcripts.
0.1.0a4 adds rich bounded Context snapshots, stable origin routing, direct
one-submit execution, and automatic origin binding during connection setup.
Vendor Skills can declare the Runtime MCP directly, so users select one
task-facing Skill rather than manually composing infrastructure Skills.
python -m pip install "eda-bridge-runtime==0.1.0a5"
eda-runtime doctor
For repository development, create a virtual environment and install .[dev]
instead. Public releases are built once on a clean GitHub runner, published
through PyPI Trusted Publishing, and installed back from PyPI before acceptance.
See Architecture and the protocol schema. Host placement is defined by the agent-client, eda-worker, and combined deployment roles.
The proposed lightweight Pi Agent pilot is described in Pi Agent pilot. It reuses the same Runtime boundary instead of adding a second SSH or EDA-control path.
The repository also includes a minimal MCP and Codex plugin. It resolves named local/SSH connections without asking the agent to assemble transport commands on each call. Sanitized real-host evidence is recorded in acceptance results.
1 maintainer
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