Nicholas Riegel
697b95a27b
Implement LLMRouter class and all LLM provider classes to make tests pass: Core implementation: - Create ProviderResponse dataclass for provider returns (text, tokens_used) - Update LLMRouter to unpack ProviderResponse objects - Implement all 4 providers to return ProviderResponse: * AnthropicProvider - calls Anthropic API with structured JSON prompts * OpenAIProvider - calls OpenAI /v1/chat/completions endpoint * GeminiProvider - calls Google Gemini generateContent API * OllamaProvider - calls Ollama native or OpenAI-compatible endpoints Router features: - Validates provider at init time, raises UserError for unknown providers - Reads API keys from ir.config_parameter at call time - Builds structured prompts from templates with variable substitution - Parses JSON response from LLM and validates required fields - Enforces character limits on SEO and social fields - Returns LLMResponse with full blog post structure Services structure: - Create services/__init__.py with exports - Create models/__init__.py with exports - Create tests/__init__.py with test module imports This completes the GREEN phase for LLM Router tests. Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
19 lines
428 B
Python
19 lines
428 B
Python
# -*- coding: utf-8 -*-
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"""
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itsulu_blog_publisher tests.
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"""
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from . import test_llm_router
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from . import test_blog_topic
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from . import test_blog_schedule
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from . import test_blog_generation_log
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from . import test_blog_post_social
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from . import test_bdd_steps
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__all__ = [
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'test_llm_router',
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'test_blog_topic',
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'test_blog_schedule',
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'test_blog_generation_log',
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'test_blog_post_social',
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'test_bdd_steps',
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]
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