Commit Graph

5 Commits

Author SHA1 Message Date
dinos f356de36a6 feat: memory retrieval (#281) 2026-06-16 09:14:29 +02:00
Xi Zhang 63969b596d Release/v0.1.4 (#266)
* 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
2026-06-07 00:52:59 +01:00
dinos 92d95dee68 feat(memory): add observation memory lifecycle (#259)
* 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
2026-06-05 15:11:20 +01:00
dinos d348076f40 Add runtime context middleware (#255) 2026-06-02 18:47:26 +01:00
Xi Zhang c407d2e20f Fix/async subagent model switch (#217)
* 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
2026-05-08 22:52:24 +01:00