Graph construction no longer raises on a bootstrap registry: build paths
bind a shared RegistryNotReadyChatModel placeholder that fails every call
with MODEL_REGISTRY_NOT_READY, so langgraph dev serves the Config API for
first-time configuration while run creation stays forbidden.
Run snapshot binding no longer compares configurable
'workspace_deployment_id' (the workspace-isolation scope id) against the
snapshot's issuing deployment — a mismatch that made every BFF run fail
with SNAPSHOT_NOT_FOUND. SnapshotService.get_for_run verifies thread_id
equality plus membership in the platform-registered deployment set
(local_deployment_id + webui_delegation_public_keys entries).
Blocking I/O moved off the event loop for langgraph dev's blockbuster:
Config API authentication (store mkdir/chmod, config.yaml read, jti
registration) and the message-budget snapshot read now run in threads,
with the immutable snapshot cached per run.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Remove legacy provider profiles, admin-token auth, /model command,
model picker widget, and config.yaml LLM fields (design doc section 10)
- Wire CLI/channels/cron and async sub-agents through the local snapshot
entry; run creation rejects model config outside runtime_snapshot_id
- Add periodic run-snapshot TTL cleanup to the config service lifespan
- Isolate tests from the real config dir and activate the registry where
run/model paths fail closed in bootstrap
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* feat(middleware): reposition code interpreter middleware in the stack
* feat(models): add qwen3.7-plus model entry and update context window comment
* feat(models): add qwen3.7-max and qwen3.7-plus model entries for DashScope
* feat(auxiliary): implement auxiliary model support for background tasks and tool selection
- Added auxiliary model configuration to EvoScientistConfig.
- Introduced _ensure_auxiliary_chat_model function to manage auxiliary model instances.
- Updated onboarding steps to include auxiliary model selection.
- Modified middleware to route tool selection to the auxiliary model when applicable.
- Enhanced tests to cover auxiliary model functionality and configuration.
* feat(steps): update UI backend selection options and descriptions
* Refactor code structure for improved readability and maintainability
* feat(patches): implement OpenRouter response reasoning item stripping to prevent multi-turn errors
* feat: update version to v0.1.4 in badges, README, and pyproject.toml; adjust skill counts in steps.py
* feat(config): add auxiliary model and provider environment variables to test setup
* feat(memory): add observation memory lifecycle
Add file-backed observation memory with deterministic markdown records,
structured record_observation tooling, startup indexing, and
profile/observation prompt guidance.
Launch post-turn and post-subagent EvoMemory workers through LangGraph
dev so completed runs can update profile memory, save durable
observations, and write subagent execution summaries without blocking
the active agent.
Wire memory middleware into the main agent, subagents, async graphs, TUI
status reporting, worker activity accounting, and observation-aware
research prompts, with regression coverage for storage, lifecycle
scheduling, graph registration, status display, and stream reset
behavior.
* fix(cli): sync background agent server on resume
Resume flows now need to keep the LangGraph dev background server
aligned with the active workspace even when async subagents are
disabled. EvoMemory workers use that server too, so gating resume-time
sync on enable_async_subagents could leave workers pinned to the launch
workspace after resuming a thread from another workspace.
Run workspace sync unconditionally for Rich CLI and Textual resume
paths, while preserving WorkspaceMismatchError handling so failed sync
aborts the resume before mutating the active thread or workspace.
Propagate aborted resume callbacks through the command UI so
channel-issued /resume commands do not send false success or history
output. Channel slash dispatch now treats CommandManager-caught command
errors as command errors and skips completion hooks for those failed
commands.
Add regression coverage for disabled async subagents, callback aborts,
and channel command error reporting.
* fix(cli): prepare serve resume workspace before adopting
Load the resumed workspace agent and sync the background server as a
single pre-adoption step. Restore the previous active workspace if
preparation fails so serve mode keeps using the old session
consistently.
* fix(memory): untrack abandoned worker status watches
Stop treating watcher shutdown as confirmed worker completion. Terminal
worker statuses still count memory deltas, while poll failures or
watcher setup failures now remove the active run without crediting
partial outputs.
* fix(cli): report channel command failures accurately
Treat command_error as a None sentinel so empty error strings still
fail, and let TUI resumes continue only on non-mismatch
background-server sync failures while reporting degraded mode.
* fix(stream): clear memory counters for resume streams
Reset completed-memory counters for every new agent stream, including
Command-based HITL and resume streams, so saved-memory indicators do not
leak across turns.
* docs(tools): make observation recording guidance conditional
Clarify that agents should call record_observation only when the
observation tool is available, preserving the existing durability and
usefulness criteria.
* feat(config): add controls for profile and observation memory
Add config flags for profile memory, observation memory, observation
writer placement, and background memory workers.
Wire the controls through main agents, subagents, EvoMemory middleware,
and memory lifecycle workers so observation writes can be assigned to
the live agent, subagent worker, both, or neither. Keep turn memory
workers profile-only and make prompts reflect the available observation
read/write paths. Skip langgraph dev startup when neither async
subagents nor memory workers need the background server.
Add coverage for config parsing, prompt gating, middleware wiring, and
worker tool availability.
* test(cli): include memory defaults in serve config stubs
* fix(memory): offload async worker launch blocking calls
Run the langgraph-dev health check and memory-output snapshot in worker
threads from the async EvoMemory launcher so it does not block the event
loop.
* chore(memory): harden turn worker subagent guardrail
* chore(memory): refresh profile context per request
* fix(memory): offload async profile file reads
* fix(memory): offload async worker completion accounting
* feat(middleware): add ConfigurableModelMiddleware for dynamic model resolution
- Introduced ConfigurableModelMiddleware to resolve chat models from RunnableConfig.configurable on each call.
- Updated middleware initialization to include ConfigurableModelMiddleware.
- Enhanced context editing middleware tests to verify presence of ConfigurableModelMiddleware.
- Implemented tests for ConfigurableModelMiddleware to ensure correct model overriding and caching behavior.
- Added tests for deepagents model-passthrough patch to verify configuration injection in async tasks.
* feat(async-subagent): update middleware handling to prevent deadlocks in async sub-agents
* style: Refactor code formatting for improved readability in patches and test files
* refactor: streamline middleware construction and improve async handling in ConfigurableModelMiddleware
* fix: remove unused request parameter from _read_model_override function
* refactor: improve async handling in _ClientProxy and enhance logging in ConfigurableModelMiddleware
test: add behavior test to ensure AskUserMiddleware is excluded in async subagent mode
m4