Initial commit: PROMETHEUS v0.1.0 - Prompt optimizer
- Clean architecture (domain/application/infrastructure) - DSPy-based evolution engine with scoring - CLI via pyproject.toml entry point - Unit + integration tests (~300 tests) - Configs for glm-5.1 and glm-4.5-air models - Z.AI endpoint integration
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examples/zai_config.yaml
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examples/zai_config.yaml
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# PROMETHEUS Configuration File — z.ai Backend
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# ==================================
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# REQUIRES env vars:
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# export OPENAI_API_KEY=<your_glm_key>
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# (api_base is configured below)
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# The initial prompt to optimize
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seed_prompt: |
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You are an expert assistant in contract analysis.
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Analyze the provided text and identify potentially abusive clauses.
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Be precise and cite the relevant passages.
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# Task description (used to generate synthetic inputs)
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task_description: |
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Legal analysis of contracts to identify abusive clauses.
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The assistant must examine a contract text and flag
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any clause that could be considered abusive under
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French consumer protection law.
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# LLM models (DSPy/litellm format with openai/ prefix for z.ai)
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task_model: "openai/glm-4.5-air"
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judge_model: "openai/glm-4.5-air"
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proposer_model: "openai/glm-4.5-air"
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synth_model: "openai/glm-4.5-air"
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# API configuration for z.ai
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api_base: "https://api.z.ai/api/paas/v4"
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api_key_env: "OPENAI_API_KEY"
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# Evolution parameters (reduced for functional testing)
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max_iterations: 3
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n_synthetic_inputs: 5
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minibatch_size: 3
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seed: 42
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