tegwick
36c20f37d0
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Stage 1 — Decouple:
- Move RunConfig + LLMResponse to markitect/llm/models.py (canonical)
- Move LLMAdapter + Mock/ErrorLLMAdapter to markitect/llm/adapter.py
- markitect/prompts/execution/models.py and llm_adapter.py become re-export shims
- All 4 adapters + factory.py updated to import from markitect.llm.*
- Parameterize app_name in toml_config.py (resolve_llm, get_default_layers,
get_preference_layers): paths and env var now derived from app_name arg
- Add tests/test_llm_isolation.py: 7 isolation + backward-compat tests
Stage 2 — Extract:
- Standalone llm-connect package created at ~/llm-connect/
- All 18 llm files copied; markitect.* imports replaced with llm_connect.*
- LLMError base inlined in llm_connect/exceptions.py (no markitect dep)
- llm-connect installed into markitect-venv; declared in pyproject.toml
Smoke test: markitect llm-check succeeds (live Gemini API call).
Backward compat: markitect.prompts.execution.{models,llm_adapter} still work.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
"""
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markitect.llm — LLM integration adapters for MarkiTect.
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Provides concrete :class:`LLMAdapter` implementations backed by
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OpenRouter (HTTP) and Claude Code CLI (subprocess).
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Quick start::
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from markitect.llm import create_adapter
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adapter = create_adapter("openrouter", model="anthropic/claude-sonnet-4")
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response = adapter.execute_prompt(prompt, run_config)
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"""
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from markitect.llm.models import RunConfig, LLMResponse
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from markitect.llm.adapter import LLMAdapter, MockLLMAdapter, ErrorLLMAdapter
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from markitect.llm.factory import create_adapter
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from markitect.llm.openrouter import OpenRouterAdapter
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from markitect.llm.claude_code import ClaudeCodeAdapter
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from markitect.llm.gemini import GeminiAdapter
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from markitect.llm.openai import OpenAIAdapter
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from markitect.llm.config import LLMConfig, load_config
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from markitect.llm.exceptions import (
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LLMError,
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LLMConfigurationError,
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LLMAPIError,
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LLMRateLimitError,
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LLMTimeoutError,
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LLMSubprocessError,
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)
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from markitect.llm.embedding_adapter import EmbeddingAdapter
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from markitect.llm.embedding_openai import OpenAICompatibleEmbeddingAdapter
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from markitect.llm.embedding_cache import EmbeddingCache
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from markitect.llm.embedding_factory import create_embedding_adapter
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from markitect.llm.similarity import (
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cosine_similarity,
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similarity_matrix,
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find_similar_pairs,
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)
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__all__ = [
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"RunConfig",
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"LLMResponse",
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"LLMAdapter",
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"MockLLMAdapter",
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"ErrorLLMAdapter",
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"create_adapter",
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"OpenRouterAdapter",
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"ClaudeCodeAdapter",
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"GeminiAdapter",
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"OpenAIAdapter",
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"LLMConfig",
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"load_config",
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"LLMError",
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"LLMConfigurationError",
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"LLMAPIError",
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"LLMRateLimitError",
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"LLMTimeoutError",
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"LLMSubprocessError",
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"EmbeddingAdapter",
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"OpenAICompatibleEmbeddingAdapter",
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"EmbeddingCache",
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"create_embedding_adapter",
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"cosine_similarity",
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"similarity_matrix",
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"find_similar_pairs",
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]
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