generated from coulomb/repo-seed
Bernd Worsch
d51d6303e2
FR-2 RoutingPolicy: - RoutingPolicy + RoutingRule dataclasses in llm_connect/routing.py - resolve(task_type, estimated_cost_per_1k=None) with cost-cap fallback - Exported from llm_connect.__init__; contract doc at contracts/functional/routing-policy.md - 11 tests covering rule match, cost-cap, fallback, unknown type, no-match FR-1 HTTP serve mode: - LLMServer in llm_connect/server.py (stdlib http.server, zero extra deps) - POST /execute + GET /health; CLI via python -m llm_connect.server - [server] optional-dep group added to pyproject.toml - Contract doc at contracts/functional/server.md - 9 tests: health, round-trip, 400/404/500 errors, config forwarding - Added "mock" provider to factory for CLI default All 101 tests pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
76 lines
2.2 KiB
Python
76 lines
2.2 KiB
Python
"""
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llm-connect — Pluggable LLM adapters.
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Provides concrete :class:`LLMAdapter` implementations backed by
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OpenRouter (HTTP), Gemini, OpenAI, and Claude Code CLI (subprocess).
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Quick start::
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from llm_connect 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 llm_connect.models import RunConfig, LLMResponse, BudgetTracker
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from llm_connect.adapter import LLMAdapter, MockLLMAdapter, ErrorLLMAdapter
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from llm_connect.factory import create_adapter
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from llm_connect.openrouter import OpenRouterAdapter
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from llm_connect.claude_code import ClaudeCodeAdapter
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from llm_connect.gemini import GeminiAdapter
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from llm_connect.openai import OpenAIAdapter
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from llm_connect.config import LLMConfig, load_config
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from llm_connect.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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LLMBudgetExceededError,
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)
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from llm_connect.embedding_adapter import EmbeddingAdapter
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from llm_connect.embedding_openai import OpenAICompatibleEmbeddingAdapter
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from llm_connect.embedding_cache import EmbeddingCache
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from llm_connect.embedding_factory import create_embedding_adapter
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from llm_connect.routing import RoutingPolicy, RoutingRule
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from llm_connect.server import LLMServer
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from llm_connect.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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"BudgetTracker",
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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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"LLMBudgetExceededError",
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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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"RoutingPolicy",
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"RoutingRule",
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"LLMServer",
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]
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