hurui200320 554d6889cc fix(cli): add --skill flag to actor run command (#971)
## Summary

Add the missing `--skill` repeatable flag to `actor run` and `actor-run` CLI commands, aligning the implementation with the specification (CLI Synopsis line 277). The flag enables ad-hoc skill injection at runtime without modifying YAML configuration.

Closes #887

## Changes

### DI Container
- **`container.py`**: Added `_build_skill_service()` factory and `skill_service` Singleton provider, following the established `_build_*` pattern. Falls back to in-memory `SkillService()` when the database is unavailable. Exception handling narrowed to `(ImportError, OperationalError, DatabaseError, OSError)` with `exc_info=True` for traceability.

### CLI Layer
- **`actor.py`**: Added `--skill` Typer option (`list[str] | None`, repeatable, `metavar="NAME"`). Help text notes that skills only augment tool-bearing agents. Wrapped constructor in the existing `try/except` block so `CleverAgentsException` from skill resolution is properly caught.
- **`actor_run.py`**: Same `--skill` option with `metavar="NAME"`. Exception handler catches `CleverAgentsException` (matching master — not broadened to `CleverAgentsError`).
- **`skill.py`**: Removed module-level `_service` cache. `_get_skill_service()` now always delegates to `get_container().skill_service()` so that `reset_container()` correctly invalidates the cached instance. `_reset_skill_service()` now overrides the container's provider via `providers.Object()`. Removed dead `validate_skill_names()` function.

### Runtime Layer
- **`application.py`** (438 lines, down from 625): `ReactiveCleverAgentsApp` gains `skill_names` parameter with automatic deduplication via `dict.fromkeys`. `_resolve_skills()` obtains `SkillService` from the DI container (no CLI layer import). Separate `except KeyError` and `except ValueError` produce distinct error messages (`"not found in registry"` vs `"resolution failed: {exc}"`). Skill tools are only injected into agents that already have tools (`if self._resolved_skill_tools and tools:`), preventing LLM agents from being converted to pass-through `SimpleToolAgent` instances. When skill tools are skipped for tool-less agents, `logger.debug` emits a diagnostic message. `_sanitize_skill_name()` validates skill name format with tightened regex: `^[\w.-]{1,127}/[\w.-]{1,127}$` with `re.ASCII` flag. Zero-tool skill warning now uses `logger.warning` (not `print(stderr)`), ensuring structured log output and proper log-level filtering.
- **`graph_executor.py`** (334 lines): Extracted graph execution logic. Type annotations improved.

### Tests
- 24+ Behave scenarios across feature files covering: single/multiple/unknown skill flags, skill+context combined, duplicate deduplication, skill resolution, ValueError path, zero-tool resolution, error handling, tool merging, default behavior, overrides, LLM agent guard, `_sanitize_skill_name` edge cases (empty string, too-long name, ANSI escape codes, disallowed characters), `_build_skill_service` happy+fallback paths, `_get_skill_service` container delegation.
- CLI "unknown skill" tests for **both** `actor.py` and `actor_run.py` exercise the real error chain (mock only `get_container()`, not the entire `ReactiveCleverAgentsApp`), testing `_resolve_skills()` → `CleverAgentsException` → `except CleverAgentsException` → exit code 2 end-to-end.
- Combined skill+context tests assert `ContextManager` was instantiated and `exists()` was called in dedicated **Then** steps.
- `@coverage` tags added to all new scenarios.
- **Robot Framework smoke tests** added (`robot/skill_actor_run.robot` + `robot/helper_skill_actor_run.py`): unknown-skill error path and valid-skill acceptance path.

### Changelog
- Added entry under `## Unreleased` in `CHANGELOG.md`.

## Review Fixes Applied (Brent Edwards, Rounds 1 & 2)

| # | Finding | Resolution |
|---|---------|------------|
| **P1-1** | `print(stderr)` for zero-tool skill warning | **Fixed** — replaced with `logger.warning("Skill '%s' resolved to zero tools", name)`, removed unused `import sys` |
| **P2-2** | Skill tools silently skipped for tool-less agents | **Fixed** — added `logger.debug` when skipped; updated `--skill` help text to note "only augments tool-bearing agents" |
| **P2-3** | `container.py` at 739 lines | **Acknowledged** — pre-existing growth (+59 lines for `_build_skill_service`); extracting factories is a separate refactoring task |
| **P2-4↑** | `CleverAgentsException` → `CleverAgentsError` broadens catch scope | **Fixed** — reverted `actor_run.py` to `except CleverAgentsException` matching master |
| **P3-5** | No Robot Framework smoke test for `--skill` | **Fixed** — added `skill_actor_run.robot` with 2 test cases (unknown-skill error, valid-skill acceptance) |
| **P3-6** | `GraphExecutor._follow_chained_edges` static-calling-static | **Acknowledged** — cosmetic pattern that doesn't affect correctness; can address in a follow-up |

## Known Limitations / Deferred Items

| Item | Reason |
|------|--------|
| `actor.py` at 679 lines (500-line guideline) | Pre-existing (670 on master), +9 lines for `--skill`. Refactoring the shared `_execute()` closure is a separate task. |
| `container.py` at 739 lines (500-line guideline) | Was 680 lines on master, +59 lines for `_build_skill_service()` and `skill_service` provider. Refactoring into sub-modules is a separate task. |
| Code duplication between `actor.py` and `actor_run.py` `run()` | ~47 lines identical code. Coupled with the line-count issue above — both require extracting shared execution logic into a helper module. |
| `SimpleToolAgent` only executes `tools[0]` | Deferred to #974. Pre-existing architectural limitation, not introduced by this PR. |
| `GraphExecutor._follow_chained_edges` static-calling-static pattern | Cosmetic, doesn't affect behavior. |

## Quality Gates
- `nox -s lint`:  PASS
- `nox -s typecheck`:  PASS (0 errors)
- `nox -s unit_tests`:  PASS (11,130 scenarios, 0 failures)
- `nox -s integration_tests`:  PASS (1,559 tests, 0 failures)
- `nox -s coverage_report`:  97% (meets threshold)
- Branch rebased onto latest `master` (`ab1fd19b`)

Reviewed-on: cleveragents/cleveragents-core#971
Co-authored-by: Rui Hu <rui.hu@cleverthis.com>
Co-committed-by: Rui Hu <rui.hu@cleverthis.com>
2026-03-19 09:30:35 +00:00
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CleverAgents Core

CleverAgents is a Python-first automation platform. It provides a unified agents CLI, embedded runtime, and service orchestration tools while embracing modern Python tooling.

Highlights

  • Unified CLI entry points: cleveragents and agents
  • Fast Typer/Click-based interface with parity for help/version behavior
  • Behavior-driven coverage via Behave and Robot Framework
  • Nox automation for linting, typing, testing, docs, builds, and benchmarks
  • MkDocs-powered documentation with CleverAgents branding

Quick Start

# clone the CleverAgents core repository
git clone https://git.cleverthis.com/cleveragents/core.git
cd core

# install dependencies
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev,tests,docs]"

# set up pre-commit hooks and verify tooling
bash scripts/setup-dev.sh

# verify the CLI
agents --help
agents --version

Developing

Pre-commit hooks run automatically on every git commit (formatting, linting, type checking, security scanning). To run checks manually:

# core validation
nox -s format            # ruff auto-formatting
nox -s lint              # ruff linting
nox -s typecheck         # pyright type checking
nox -s unit_tests        # behave unit tests
nox -s integration_tests # robot integration tests

# quality & security
nox -s security_scan     # bandit security scanning
nox -s dead_code         # vulture dead code detection
nox -s complexity        # radon complexity analysis
nox -s pre_commit        # run all pre-commit hooks
nox -s adr_compliance    # verify ADR compliance

For the full quality automation guide, see docs/development/quality-automation.md.

Documentation

nox -s docs
nox -s serve_docs

Tests

Behave feature scenarios live under features/ and Robot suites under robot/. Use the Nox sessions above to execute them in parity with the implementation plan.

Observability

LangSmith tracing is optional and off by default. Enable it by exporting CLEVERAGENTS_LANGSMITH_ENABLED=true along with a project name and API key (CLEVERAGENTS_LANGSMITH_PROJECT, CLEVERAGENTS_LANGSMITH_API_KEY). The settings module automatically mirrors these values to LANGCHAIN_TRACING_V2, LANGCHAIN_PROJECT, and LANGCHAIN_API_KEY, so LangChain/LangGraph agents emit traces without extra wiring. Additional knobs such as CLEVERAGENTS_LANGSMITH_ENDPOINT, CLEVERAGENTS_LANGSMITH_USER_ID, and CLEVERAGENTS_LANGSMITH_TAGS are documented in docs/observability.md.

LLM provider configuration

CleverAgents ships with a LangChain/LangGraph powered provider registry that discovers whichever API keys you export and automatically selects the best available provider. The CLI now uses actors: select an actor with --actor <name> (or set a default via agents actor set-default). Actors embed provider/model choices; built-in actors are seeded from CLEVERAGENTS_DEFAULT_PROVIDER / CLEVERAGENTS_DEFAULT_MODEL, then fall back to the built-in order (openai → anthropic → google → azure → openrouter → groq → together → cohere → gemini).

Required environment variables

Provider Primary variables
OpenAI OPENAI_API_KEY
Anthropic ANTHROPIC_API_KEY
Google GOOGLE_API_KEY or GOOGLE_GENAI_API_KEY
Azure OpenAI AZURE_OPENAI_API_KEY plus AZURE_OPENAI_ENDPOINT/AZURE_OPENAI_DEPLOYMENT
OpenRouter OPENROUTER_API_KEY (+ optional CLEVERAGENTS_OPENROUTER_ORGANIZATION for sanitized headers)
Gemini GEMINI_API_KEY or GOOGLE_GEMINI_API_KEY
Cohere COHERE_API_KEY
Groq GROQ_API_KEY
Together TOGETHER_API_KEY

Set CLEVERAGENTS_DEFAULT_PROVIDER to pin the global provider (for example export CLEVERAGENTS_DEFAULT_PROVIDER=openai) and CLEVERAGENTS_DEFAULT_MODEL to lock in a model ID. When unset, the registry picks the first configured provider and uses its published default model such as gpt-4o for OpenAI or claude-sonnet-4-20250514 for Anthropic.

Diagnostics and testing shortcuts

  • agents diagnostics prints whether the registry can see your credentials and which actor/provider is selected.
  • agents tell and agents build require --actor <name> unless a default actor is set; use agents actor set-default <name> to configure one.
  • Built-in actors (<provider>/<model>) are immutable, custom actors must be named local/<id>, and the default actor cannot be removed. Use --unsafe when adding/updating configs marked unsafe; runtime only warns when invoking unsafe actors.
  • CLEVERAGENTS_TESTING_USE_MOCK_AI=true forces the in-repo mock provider so Behave/Robot suites never hit external APIs.
  • The full capability matrix (streaming, tool calls, JSON mode, etc.) is documented in docs/reference/providers.md.
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