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Proposal: auto-placement and orthogonal routing for sources with no geometry (.cir → .plecs)
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formneeds-triageMaintainer needs to evaluate this issueMaintainer needs to evaluate this issueStatus: Open.#95 In tinix84/pyplecs;LTspice import keeps the author's drawing: body centres, terminal-1 direction, and wire Points from the .asc segments
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.#94 In tinix84/pyplecs;RC step response authored in LTspice, imported and compared with PLECS in the time domain
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formfunction:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.LTspice .asc import into the Circuit Model and out as a runnable .plecs
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Spec: LTspice import — .asc to Circuit Model to .plecs, proven on an RC step response against PLECS
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formfunction:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Record ADR-0013 and close the architecture epic tracks with evidence
function:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Semi-manual converter acceptance pack: .cir quantitative and .asc load/run with an Evidence Bundle
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formfunction:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Cross-transport equivalence: Python, REST and a real MCP client session agree on the canonical buck
function:integrateStory-map function: consume PyPLECS from existing tools and environmentsStory-map function: consume PyPLECS from existing tools and environmentsfunction:run-at-scaleStory-map function: obtain answers across many cases efficientlyStory-map function: obtain answers across many cases efficientlyfunction:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Canonical buck oracle through the Python API with a recorded reference and Evidence Bundle
function:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Live-PLECS fixture: opt-in marker, availability skip, isolated config, canonical buck manifest
function:bring-modelStory-map function: bring an existing converter model into a runnable formStory-map function: bring an existing converter model into a runnable formfunction:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Spec: live-PLECS verification of the canonical buck across transports and the converter acceptance pack
function:integrateStory-map function: consume PyPLECS from existing tools and environmentsStory-map function: consume PyPLECS from existing tools and environmentsfunction:trust-resultsStory-map function: trace and validate what produced each resultStory-map function: trace and validate what produced each resultready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.Design Quantities over REST and the Simulation MCP Server
function:integrateStory-map function: consume PyPLECS from existing tools and environmentsStory-map function: consume PyPLECS from existing tools and environmentsfunction:read-meaningStory-map function: derive decision-ready quantities from resultsStory-map function: derive decision-ready quantities from resultsready-for-agentFully specified, ready for an AFK agentFully specified, ready for an AFK agentStatus: Open.