lda Verified 8293ef8884 remove local pytest basetemp
WHY does it set the perms of this tmp dir??? WHY??? then no one can use it the next pytest call. fuh ahh.
8293ef8884 · 2026-06-15 01:53:18 +07:00
617 Commits
2026-06-15 01:53:18 +07:00
2026-06-13 09:59:49 +07:00
2026-06-05 18:55:15 +07:00
2026-04-27 18:44:43 +07:00
2026-06-13 09:59:49 +07:00
2026-06-11 03:31:18 +07:00
2026-06-15 01:53:18 +07:00
2026-05-28 23:28:37 +07:00
2026-06-05 15:33:37 +07:00

lda.chat workflow platform

This repository is building a workflow runtime for AI-assisted digital work. Agents discover capabilities, author typed workflows, validate them, deploy them, and run them through a deterministic executor. The LLM plans; the runtime executes.

Quick Start

uv run wf --help
uv run wf --local cap list --format ids
uv run wf --local cap inspect wf.std.constant
uv run wf --local cap call wf.std.constant --input '{"value":"hello"}'
uv run pytest -q

Run the durable JSON-RPC server:

uv run wf-rpc-server --config wf.config.json --host 127.0.0.1 --port 8765
uv run wf --url http://127.0.0.1:8765/rpc cap list --format ids

Current Shape

wf_cli
  -> wf_transport_rpc_http or local target
  -> wf_server
  -> wf_api
  -> wf_core / wf_artifacts / wf_sources_*
  • wf_core: deterministic graph/runtime kernel.
  • wf_authoring: Python authoring helpers and NodeSpec creation.
  • wf_api: workflow application surface shared by local and remote frontends.
  • wf_server: durable server composition boundary.
  • wf_transport_rpc_http: JSON-RPC-over-HTTP client/server transport.
  • wf_sources_mcp: upstream MCP source implementation and persistent runtime.
  • wf_mcp: MCP frontend, legacy entrypoints, proxy/admin glue, and compatibility shims during extraction.
  • wf_cli: command-line frontend over local or remote workflow APIs.

Start Reading

Historical design notes and completed implementation plans live under docs/historical/. The previous long top-level running-design note is intentionally no longer the project front door; current model details are split across the docs index above.

S
Description
did chat cook?
Readme
18 MiB
Languages
Python 62.7%
TypeScript 34%
CSS 3.1%
Lua 0.2%