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markitect-main/roadmap/helper-command/PLAN.md
tegwick 69e2ec25ff feat(helper): add interactive Q&A helper command
Add `markitect helper <QUESTION>` CLI command that answers questions
about markitect using its own documentation as LLM context. Uses
OpenRouter with openrouter/aurora-alpha by default; model is
configurable via --model flag or MARKITECT_HELPER_MODEL env var.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-12 23:28:20 +01:00

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# Plan: `markitect helper` CLI Command
## Context
Add an interactive Q&A facility to markitect that answers questions about markitect itself using its own documentation as knowledge context. Uses the existing LLM adapter infrastructure with OpenRouter and `openrouter/aurora-alpha` as default.
## New Files
### 1. `markitect/helper/__init__.py`
Empty package init.
### 2. `markitect/helper/knowledge.py` — Knowledge Loader
- `collect_knowledge() -> str` function that:
- Finds markitect's documentation directory relative to the package root (`Path(__file__).resolve().parent.parent.parent`)
- Reads key markdown files in priority order:
1. `INTRODUCTION.md`
2. `docs/CLI_TUTORIAL.md`
3. `docs/PROJECT_STRUCTURE.md`
4. `docs/SCHEMA_MANAGEMENT_GUIDE.md`
5. `docs/PLUGIN_SYSTEM.md`
6. `docs/ERROR_HANDLING_STRATEGY.md`
7. `docs/architecture/CAPABILITIES_ARCHITECTURE.md`
8. `docs/architecture/caching-system.md`
9. `docs/user-guides/*.md` (all files)
10. `examples/content-generator/TUTORIAL.md`
11. `examples/infospace-with-history/TUTORIAL.md`
12. Module docstrings from `markitect/prompts/__init__.py` and `markitect/llm/__init__.py`
- Concatenates with `## <filename>` section headers between each doc
- Skips missing files gracefully (log warning if verbose)
- Returns the combined knowledge string
### 3. `markitect/helper/cli.py` — Click Command
```python
@click.command("helper")
@click.argument("question", nargs=-1, required=True) # accepts multi-word questions without quotes
@click.option("--provider", "-p", default="openrouter",
type=click.Choice(["openrouter", "claude-code", "gemini", "openai"]),
help="LLM provider")
@click.option("--model", "-m", default=None,
help="Model name (overrides MARKITECT_HELPER_MODEL env var and default)")
```
Logic:
1. Join `question` tuple into a single string
2. Resolve model: CLI `--model` flag → `MARKITECT_HELPER_MODEL` env var → `openrouter/aurora-alpha`
3. Call `collect_knowledge()` to build the knowledge context
4. Build system prompt: `"You are a markitect expert assistant. Answer questions based on the following markitect documentation:\n\n{knowledge}"`
5. Call `create_adapter(provider, model=model, system_prompt=system_prompt)`
6. Call `adapter.execute_prompt(question, RunConfig(max_tokens=4000, temperature=0.3))`
7. Print `response.content` to stdout
8. Handle errors: `LLMConfigurationError` → helpful message about API key, other `LLMError` → stderr message
## Modified Files
### 4. `markitect/cli.py` — Register the Command
At the bottom with the other `cli.add_command()` calls, add:
```python
try:
from markitect.helper.cli import helper_command
cli.add_command(helper_command)
except ImportError:
pass # Helper module not available
```
This follows the existing pattern used for prompts, finance, etc.
## Configuration
- **Default provider**: `openrouter`
- **Default model**: `openrouter/aurora-alpha`
- **Environment variable**: `MARKITECT_HELPER_MODEL` — overrides the default model
- **CLI flag**: `--model` / `-m` — overrides both env var and default
- **Precedence**: `--model` flag > `MARKITECT_HELPER_MODEL` env var > `openrouter/aurora-alpha`
## Key Reference Files
- `markitect/cli.py` — main CLI (Click-based, `@cli.command()` pattern, register via `cli.add_command()`)
- `markitect/llm/factory.py``create_adapter(provider, model, api_key, system_prompt)`
- `markitect/llm/openrouter.py` — OpenRouterAdapter (default)
- `markitect/prompts/execution/models.py``RunConfig`, `LLMResponse`
- `markitect/prompts/execution/llm_adapter.py``LLMAdapter` base class (method: `execute_prompt(prompt, config) -> LLMResponse`)
- `markitect/llm/exceptions.py``LLMError`, `LLMConfigurationError`, `LLMAPIError`, `LLMRateLimitError`
- API key resolution: env var `OPENROUTER_API_KEY` or file `apikey-openrouter.txt` in project root
## Verification
1. `markitect helper "What is markitect?"` — should return a knowledge-based answer
2. `markitect helper --model anthropic/claude-sonnet-4 "How do schemas work?"` — uses different model
3. `MARKITECT_HELPER_MODEL=google/gemini-2.5-flash markitect helper "What are templates?"` — env var override
4. `markitect helper --provider claude-code "Explain the plugin system"` — uses Claude CLI
5. `markitect helper --help` — shows usage with all options