ReMe/reme/reme.py
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refactor(agent): unify agent subprocess env, sessions, skills, and MCP/service jobs (#382)
* feat(config): add environment variable configuration for agent subprocesses

- Add environment field to ApplicationConfig to store variables for agent subprocesses
- Remove dynamic loading of .env files in agent wrappers
- Introduce subprocess_environment property in base agent wrapper
- Pass application-level environment variables to Claude Code and Codex agents
- Load environment variables once at startup and pass to ReMe application
- Remove dependency on load_env utility in agent wrapper implementations
- Update tests to use configured environment instead of dynamic loading
- Remove unused environment loading utilities and related test cases

* refactor(mcp): remove channel notification system and related components

- Removed channel notification step implementation
- Removed claim channel step implementation
- Removed ChannelSink class from MCP service
- Removed channel-related documentation from AGENTS.md
- Removed channel instruction text from MCP service
- Removed all channel-related tests
- Updated application context metadata comment to remove channel sink reference
- Removed channel module initialization and imports

* feat(service): add job whitelisting capability to BaseService

- Add optional jobs parameter to BaseService.__init__ to configure job whitelist
- Store jobs as set in self.jobs attribute for efficient lookup operations
- Modify add_jobs method to filter jobs based on whitelist configuration
- Update documentation in both English and Chinese to describe new feature
- Add comprehensive unit tests for job whitelisting behavior
- Implement flowchart update showing new filtering logic
- Preserve existing enable_serve flag behavior alongside new whitelisting

* refactor(service): enhance service job validation and MCP tool injection

- Add strict validation for service jobs whitelist with detailed error messages
- Implement injected job arguments support for MCP services with conflict detection
- Add tool error handling for unsuccessful responses in MCP services
- Remove duplicate job names in Codex agent wrapper using dict.fromkeys
- Update MCP server argument format from single JSON array to repeated --job flags
- Add comprehensive test coverage for job injection and error handling scenarios
- Update documentation to reflect service job validation and MCP features
- Ensure application cleanup occurs even when service lifespan encounters errors

* feat(agent): update skill handling to preserve existing Claude skills

- Change skills parameter processing to use 'all' instead of filtered list
- Add logic to select project skills without restricting Claude's existing skills
- Update variable naming from 'skills' to 'selected_skills' for clarity
- Modify application context metadata documentation to clarify in-memory state usage
- Add test case to verify configured skills are added without filtering existing skills
- Update internal skill directory handling to use renamed variable consistently

* refactor(agent): restructure agent wrapper components and session storage

- Move CcFileSessionStore to separate module for better organization
- Add SDK package version logging in base agent wrapper
- Update Claude Code agent to use new session store structure with project keys
- Refactor Claude Code agent wrapper to use proper type hints and SDK integration
- Add support for server tool use events in Claude Code message processing
- Improve error handling and resource cleanup in streaming operations
- Update Codex agent wrapper with proper type annotations and configuration
- Remove deprecated system prompt mode handling from Claude Code wrapper
- Fix session path construction for Claude Code transcript storage
- Update dependency injection and configuration handling patterns

* fix(cc_agent_wrapper): resolve Claude Code SDK integration issues

- Added dataclass import and created _BlockState for content block metadata tracking
- Implemented proper MCP server name constant and tool context ID validation
- Fixed tool_context_id injection to prevent duplicate assignment errors
- Resolved skills parameter handling in build_options method
- Enhanced job tools integration with MCP servers mapping validation
- Replaced deprecated block_ids/block_types/tool_call_names with block_states dict
- Updated message_delta to emit USAGE chunks instead of REPLY_END
- Fixed stream result handling to ensure proper REPLY_END emission
- Improved error handling for session mirror failures and rate limits
- Added proper cleanup for expected trailing errors in streams
- Refactored Codex agent wrapper initialization and configuration management
- Removed obsolete system_prompt_mode from default config
- Enhanced test coverage for new block state and error handling features
- Fixed async generator handling with aclosing context manager
- Improved chunk type mapping for Claude Code SDK events

* refactor(tests): remove demo config tests from config parser test suite

- Removed test_demo_config_registers_llm_jobs function and its assertions
- Eliminated verification of LLM demo job configurations
- Removed checks for agent wrapper component settings
- Deleted assertions for model configurations and parameters
- Cleaned up deprecated test cases related to demo config parsing

* refactor(evolve): simplify Claude Code session store path structure

- Removed redundant project key subdirectory from session link generation
- Updated CcFileSessionStore initialization to use direct session directory path
- Maintained existing session layout compatibility for backward compatibility
- Added unit tests to verify session persistence behavior with existing transcripts
- Ensured UUID-based session files remain accessible at expected locations
- Preserved existing session directory structure without additional nesting

* refactor(agent): defer optional Codex SDK imports until first use

- Moved openai-codex imports inside functions to avoid mandatory dependencies
- Added TYPE_CHECKING guard for development time type checking only
- Implemented lazy loading mechanism with _get_async_codex_class function
- Updated AsyncCodex initialization to occur on demand rather than at module level
- Maintained backward compatibility while improving import performance
- Added test case to verify package import works without optional Codex SDK
- Updated agentscope dependency to version 2.0.4.post1 in pyproject.toml

* test(embedded): add compatibility tests for in-process ReMe embedding

- Add test suite for QwenPaw-style embedded configurations
- Verify optional defaults remain preserved in embedded configs
- Ensure in-process application API stays compatible
- Test model injection and lifecycle management compatibility
- Remove obsolete hermes agent plugin tests
- Update CLI import test to cover multiple optional SDKs
- Block claude_agent_sdk and openai_codex during import testing
2026-07-20 23:52:14 +08:00

79 lines
3.3 KiB
Python

"""ReMe memory management application entry point."""
import asyncio
import sys
from .application import Application
from .components import R
from .components.service.cli_service import prepare_start_config, should_precheck_start
from .config import parse_args, resolve_app_config
from .enumeration import ComponentEnum
from .utils import cli_find_reme, load_env, precheck_start, running_service_config
_CLIENT_KWARGS = {"host", "port", "timeout", "transport", "command", "args", "show_metadata"}
class ReMe(Application):
"""ReMe memory management application."""
async def call_server(action: str, **kwargs):
"""Call the running server with a client matching its *actual* service config.
The client backend and its transport/host/port are taken from the running
``reme start`` process — its start args replayed through the same
``resolve_app_config`` the server used — so a bare ``reme <action>`` reaches
the server however it was actually started (``http`` REST or ``mcp``
streamable-http / sse / stdio), including ``service.*`` overrides that never
touched the on-disk config file. Falls back to local config resolution when
no server is detected. Explicit ``backend=`` / ``transport=`` / ``host=`` /
``port=`` kwargs still win and never leak into the tool payload.
"""
# config-selecting keys steer client construction; they are not tool args.
resolve_kwargs = {}
if isinstance(kwargs.get("config"), str):
resolve_kwargs["config"] = kwargs.pop("config")
if isinstance(kwargs.get("service"), dict):
resolve_kwargs["service"] = kwargs.pop("service")
# Prefer the running server's real config; fall back to the local config file.
service = running_service_config()
if service is None:
service = resolve_app_config(log_config=False, **resolve_kwargs).get("service")
service = service if isinstance(service, dict) else {}
backend: str = kwargs.pop("backend", None) or service.get("backend", "http")
# Seed client kwargs from the service config only when we are actually using
# that service's backend — transport/host/port are backend-specific, so an
# explicit backend override must not inherit the other backend's settings.
seed = service if backend == service.get("backend") else {}
client_kwargs = {k: seed[k] for k in _CLIENT_KWARGS if k in seed}
client_kwargs.update({key: kwargs.pop(key) for key in list(kwargs) if key in _CLIENT_KWARGS})
client_cls = R.get(ComponentEnum.CLIENT, backend)
if client_cls is None:
raise ValueError(f"Unknown client backend: {backend!r}")
async with client_cls(**client_kwargs) as client:
async for chunk in client(action=action, **kwargs):
print(chunk, end="", flush=True)
print()
def main():
"""Parse CLI arguments and launch the appropriate mode."""
environment = load_env()
action, kwargs = parse_args(*sys.argv[1:])
if action == "start":
kwargs = prepare_start_config(kwargs)
kwargs["environment"] = environment
if should_precheck_start(kwargs) and not precheck_start(kwargs.get("service")):
return
ReMe(**kwargs).run_app()
elif action == "find_reme":
cli_find_reme()
else:
asyncio.run(call_server(action, **kwargs))
if __name__ == "__main__":
main()