feat: Add top 10 OpenRouter models to CLI model selection
- Added top-ranked models from OpenRouter.ai rankings: - Kimi K2.5 0127 (#1 ranked) - Claude Opus 4.5 / Sonnet 4.5 - Gemini 3 Flash Preview / 2.5 Flash / 2.5 Flash Lite - Deepseek V3.2 - Grok 4.1 Fast / Grok Code Fast 1 - Minimax M2.1 - Refactored SHALLOW_AGENT_OPTIONS and DEEP_AGENT_OPTIONS to module-level constants - Added comprehensive tests for OpenRouter model configuration in tests/test_cli_utils.py - Preserved existing free models (Nemotron, GLM) The model options dictionaries were moved from function scope to module level to enable better testing and reusability.
This commit is contained in:
treasuraid
parent
5fec171a1e
commit
f35feafe9a
232
cli/utils.py
232
cli/utils.py
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@ -10,6 +10,130 @@ ANALYST_ORDER = [
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("Fundamentals Analyst", AnalystType.FUNDAMENTALS),
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]
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# Define shallow thinking llm engine options with their corresponding model names
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SHALLOW_AGENT_OPTIONS = {
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"openai": [
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("GPT-5 Mini - Cost-optimized reasoning", "gpt-5-mini"),
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("GPT-5 Nano - Ultra-fast, high-throughput", "gpt-5-nano"),
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("GPT-5.2 - Latest flagship", "gpt-5.2"),
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("GPT-5.1 - Flexible reasoning", "gpt-5.1"),
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("GPT-4.1 - Smartest non-reasoning, 1M context", "gpt-4.1"),
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],
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"anthropic": [
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("Claude Haiku 4.5 - Fast + extended thinking", "claude-haiku-4-5"),
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("Claude Sonnet 4.5 - Best for agents/coding", "claude-sonnet-4-5"),
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("Claude Sonnet 4 - High-performance", "claude-sonnet-4-20250514"),
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],
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"google": [
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("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"),
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("Gemini 2.5 Flash - Balanced, recommended", "gemini-2.5-flash"),
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("Gemini 3 Pro - Reasoning-first", "gemini-3-pro-preview"),
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("Gemini 2.5 Flash Lite - Fast, low-cost", "gemini-2.5-flash-lite"),
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],
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"xai": [
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(
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"Grok 4.1 Fast (Non-Reasoning) - Speed optimized, 2M ctx",
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"grok-4-1-fast-non-reasoning",
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),
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(
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"Grok 4 Fast (Non-Reasoning) - Speed optimized",
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"grok-4-fast-non-reasoning",
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),
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(
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"Grok 4.1 Fast (Reasoning) - High-performance, 2M ctx",
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"grok-4-1-fast-reasoning",
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),
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("Grok 4 Fast (Reasoning) - High-performance", "grok-4-fast-reasoning"),
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],
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"openrouter": [
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("Kimi K2.5 0127 - Top ranked", "moonshotai/kimi-k2.5-0127"),
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(
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"Claude Sonnet 4.5 - Best for agents",
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"anthropic/claude-4.5-sonnet-20250929",
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),
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("Claude Opus 4.5 - Premium", "anthropic/claude-4.5-opus-20251124"),
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("Gemini 3 Flash Preview - Fast", "google/gemini-3-flash-preview-20251217"),
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("Gemini 2.5 Flash - Balanced", "google/gemini-2.5-flash"),
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("Gemini 2.5 Flash Lite - Efficient", "google/gemini-2.5-flash-lite"),
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("Deepseek V3.2 - Cost effective", "deepseek/deepseek-v3.2-20251201"),
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("Grok 4.1 Fast - High performance", "x-ai/grok-4.1-fast"),
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("Grok Code Fast 1 - Coding optimized", "x-ai/grok-code-fast-1"),
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("Minimax M2.1 - Rising star", "minimax/minimax-m2.1"),
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(
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"NVIDIA Nemotron 3 Nano 30B (free)",
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"nvidia/nemotron-3-nano-30b-a3b:free",
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),
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("Z.AI GLM 4.5 Air (free)", "z-ai/glm-4.5-air:free"),
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],
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"ollama": [
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("Qwen3:latest (8B, local)", "qwen3:latest"),
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("GPT-OSS:latest (20B, local)", "gpt-oss:latest"),
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("GLM-4.7-Flash:latest (30B, local)", "glm-4.7-flash:latest"),
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],
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}
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# Define deep thinking llm engine options with their corresponding model names
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DEEP_AGENT_OPTIONS = {
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"openai": [
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("GPT-5.2 - Latest flagship", "gpt-5.2"),
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("GPT-5.1 - Flexible reasoning", "gpt-5.1"),
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("GPT-5 - Advanced reasoning", "gpt-5"),
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("GPT-4.1 - Smartest non-reasoning, 1M context", "gpt-4.1"),
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("GPT-5 Mini - Cost-optimized reasoning", "gpt-5-mini"),
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("GPT-5 Nano - Ultra-fast, high-throughput", "gpt-5-nano"),
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],
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"anthropic": [
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("Claude Sonnet 4.5 - Best for agents/coding", "claude-sonnet-4-5"),
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("Claude Opus 4.5 - Premium, max intelligence", "claude-opus-4-5"),
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("Claude Opus 4.1 - Most capable model", "claude-opus-4-1-20250805"),
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("Claude Haiku 4.5 - Fast + extended thinking", "claude-haiku-4-5"),
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("Claude Sonnet 4 - High-performance", "claude-sonnet-4-20250514"),
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],
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"google": [
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("Gemini 3 Pro - Reasoning-first", "gemini-3-pro-preview"),
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("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"),
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("Gemini 2.5 Flash - Balanced, recommended", "gemini-2.5-flash"),
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],
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"xai": [
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(
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"Grok 4.1 Fast (Reasoning) - High-performance, 2M ctx",
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"grok-4-1-fast-reasoning",
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),
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("Grok 4 Fast (Reasoning) - High-performance", "grok-4-fast-reasoning"),
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("Grok 4 - Flagship model", "grok-4-0709"),
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(
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"Grok 4.1 Fast (Non-Reasoning) - Speed optimized, 2M ctx",
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"grok-4-1-fast-non-reasoning",
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),
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("Grok 4 Fast (Non-Reasoning) - Speed optimized", "grok-4-fast-non-reasoning"),
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],
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"openrouter": [
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("Kimi K2.5 0127 - Top ranked", "moonshotai/kimi-k2.5-0127"),
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(
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"Claude Opus 4.5 - Premium intelligence",
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"anthropic/claude-4.5-opus-20251124",
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),
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("Claude Sonnet 4.5 - Best for agents", "anthropic/claude-4.5-sonnet-20250929"),
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(
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"Gemini 3 Flash Preview - Fast reasoning",
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"google/gemini-3-flash-preview-20251217",
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),
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("Gemini 2.5 Flash - Balanced", "google/gemini-2.5-flash"),
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("Gemini 2.5 Flash Lite - Efficient", "google/gemini-2.5-flash-lite"),
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("Grok 4.1 Fast - High performance", "x-ai/grok-4.1-fast"),
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("Deepseek V3.2 - Cost effective", "deepseek/deepseek-v3.2-20251201"),
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("Grok Code Fast 1 - Coding optimized", "x-ai/grok-code-fast-1"),
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("Minimax M2.1 - Rising star", "minimax/minimax-m2.1"),
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("Z.AI GLM 4.5 Air (free)", "z-ai/glm-4.5-air:free"),
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("NVIDIA Nemotron 3 Nano 30B (free)", "nvidia/nemotron-3-nano-30b-a3b:free"),
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],
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"ollama": [
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("GLM-4.7-Flash:latest (30B, local)", "glm-4.7-flash:latest"),
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("GPT-OSS:latest (20B, local)", "gpt-oss:latest"),
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("Qwen3:latest (8B, local)", "qwen3:latest"),
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],
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}
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def get_ticker() -> str:
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"""Prompt the user to enter a ticker symbol."""
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@ -125,43 +249,6 @@ def select_research_depth() -> int:
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def select_shallow_thinking_agent(provider) -> str:
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"""Select shallow thinking llm engine using an interactive selection."""
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# Define shallow thinking llm engine options with their corresponding model names
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SHALLOW_AGENT_OPTIONS = {
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"openai": [
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("GPT-5 Mini - Cost-optimized reasoning", "gpt-5-mini"),
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("GPT-5 Nano - Ultra-fast, high-throughput", "gpt-5-nano"),
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("GPT-5.2 - Latest flagship", "gpt-5.2"),
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("GPT-5.1 - Flexible reasoning", "gpt-5.1"),
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("GPT-4.1 - Smartest non-reasoning, 1M context", "gpt-4.1"),
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],
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"anthropic": [
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("Claude Haiku 4.5 - Fast + extended thinking", "claude-haiku-4-5"),
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("Claude Sonnet 4.5 - Best for agents/coding", "claude-sonnet-4-5"),
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("Claude Sonnet 4 - High-performance", "claude-sonnet-4-20250514"),
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],
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"google": [
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("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"),
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("Gemini 2.5 Flash - Balanced, recommended", "gemini-2.5-flash"),
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("Gemini 3 Pro - Reasoning-first", "gemini-3-pro-preview"),
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("Gemini 2.5 Flash Lite - Fast, low-cost", "gemini-2.5-flash-lite"),
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],
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"xai": [
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("Grok 4.1 Fast (Non-Reasoning) - Speed optimized, 2M ctx", "grok-4-1-fast-non-reasoning"),
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("Grok 4 Fast (Non-Reasoning) - Speed optimized", "grok-4-fast-non-reasoning"),
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("Grok 4.1 Fast (Reasoning) - High-performance, 2M ctx", "grok-4-1-fast-reasoning"),
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("Grok 4 Fast (Reasoning) - High-performance", "grok-4-fast-reasoning"),
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],
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"openrouter": [
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("NVIDIA Nemotron 3 Nano 30B (free)", "nvidia/nemotron-3-nano-30b-a3b:free"),
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("Z.AI GLM 4.5 Air (free)", "z-ai/glm-4.5-air:free"),
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],
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"ollama": [
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("Qwen3:latest (8B, local)", "qwen3:latest"),
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("GPT-OSS:latest (20B, local)", "gpt-oss:latest"),
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("GLM-4.7-Flash:latest (30B, local)", "glm-4.7-flash:latest"),
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],
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}
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choice = questionary.select(
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"Select Your [Quick-Thinking LLM Engine]:",
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choices=[
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@ -190,46 +277,6 @@ def select_shallow_thinking_agent(provider) -> str:
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def select_deep_thinking_agent(provider) -> str:
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"""Select deep thinking llm engine using an interactive selection."""
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# Define deep thinking llm engine options with their corresponding model names
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DEEP_AGENT_OPTIONS = {
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"openai": [
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("GPT-5.2 - Latest flagship", "gpt-5.2"),
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("GPT-5.1 - Flexible reasoning", "gpt-5.1"),
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("GPT-5 - Advanced reasoning", "gpt-5"),
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("GPT-4.1 - Smartest non-reasoning, 1M context", "gpt-4.1"),
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("GPT-5 Mini - Cost-optimized reasoning", "gpt-5-mini"),
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("GPT-5 Nano - Ultra-fast, high-throughput", "gpt-5-nano"),
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],
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"anthropic": [
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("Claude Sonnet 4.5 - Best for agents/coding", "claude-sonnet-4-5"),
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("Claude Opus 4.5 - Premium, max intelligence", "claude-opus-4-5"),
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("Claude Opus 4.1 - Most capable model", "claude-opus-4-1-20250805"),
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("Claude Haiku 4.5 - Fast + extended thinking", "claude-haiku-4-5"),
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("Claude Sonnet 4 - High-performance", "claude-sonnet-4-20250514"),
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],
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"google": [
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("Gemini 3 Pro - Reasoning-first", "gemini-3-pro-preview"),
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("Gemini 3 Flash - Next-gen fast", "gemini-3-flash-preview"),
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("Gemini 2.5 Flash - Balanced, recommended", "gemini-2.5-flash"),
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],
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"xai": [
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("Grok 4.1 Fast (Reasoning) - High-performance, 2M ctx", "grok-4-1-fast-reasoning"),
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("Grok 4 Fast (Reasoning) - High-performance", "grok-4-fast-reasoning"),
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("Grok 4 - Flagship model", "grok-4-0709"),
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("Grok 4.1 Fast (Non-Reasoning) - Speed optimized, 2M ctx", "grok-4-1-fast-non-reasoning"),
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("Grok 4 Fast (Non-Reasoning) - Speed optimized", "grok-4-fast-non-reasoning"),
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],
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"openrouter": [
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("Z.AI GLM 4.5 Air (free)", "z-ai/glm-4.5-air:free"),
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("NVIDIA Nemotron 3 Nano 30B (free)", "nvidia/nemotron-3-nano-30b-a3b:free"),
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],
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"ollama": [
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("GLM-4.7-Flash:latest (30B, local)", "glm-4.7-flash:latest"),
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("GPT-OSS:latest (20B, local)", "gpt-oss:latest"),
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("Qwen3:latest (8B, local)", "qwen3:latest"),
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],
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}
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choice = questionary.select(
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"Select Your [Deep-Thinking LLM Engine]:",
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choices=[
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@ -252,6 +299,7 @@ def select_deep_thinking_agent(provider) -> str:
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return choice
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def select_llm_provider() -> tuple[str, str]:
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"""Select the OpenAI api url using interactive selection."""
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# Define OpenAI api options with their corresponding endpoints
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@ -263,7 +311,7 @@ def select_llm_provider() -> tuple[str, str]:
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("Openrouter", "https://openrouter.ai/api/v1"),
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("Ollama", "http://localhost:11434/v1"),
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]
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choice = questionary.select(
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"Select your LLM Provider:",
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choices=[
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@ -279,11 +327,11 @@ def select_llm_provider() -> tuple[str, str]:
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]
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),
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).ask()
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if choice is None:
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console.print("\n[red]no OpenAI backend selected. Exiting...[/red]")
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exit(1)
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display_name, url = choice
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print(f"You selected: {display_name}\tURL: {url}")
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@ -300,11 +348,13 @@ def ask_openai_reasoning_effort() -> str:
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return questionary.select(
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"Select Reasoning Effort:",
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choices=choices,
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style=questionary.Style([
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("selected", "fg:cyan noinherit"),
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("highlighted", "fg:cyan noinherit"),
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("pointer", "fg:cyan noinherit"),
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]),
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style=questionary.Style(
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[
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("selected", "fg:cyan noinherit"),
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("highlighted", "fg:cyan noinherit"),
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("pointer", "fg:cyan noinherit"),
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]
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),
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).ask()
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@ -320,9 +370,11 @@ def ask_gemini_thinking_config() -> str | None:
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questionary.Choice("Enable Thinking (recommended)", "high"),
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questionary.Choice("Minimal/Disable Thinking", "minimal"),
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],
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style=questionary.Style([
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("selected", "fg:green noinherit"),
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("highlighted", "fg:green noinherit"),
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("pointer", "fg:green noinherit"),
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]),
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style=questionary.Style(
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[
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("selected", "fg:green noinherit"),
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("highlighted", "fg:green noinherit"),
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("pointer", "fg:green noinherit"),
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]
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),
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).ask()
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|
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@ -0,0 +1,143 @@
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"""Tests for CLI utilities, specifically OpenRouter model configuration."""
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import pytest
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from cli.utils import SHALLOW_AGENT_OPTIONS, DEEP_AGENT_OPTIONS
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class TestOpenRouterModels:
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"""Test suite for OpenRouter model configuration."""
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def test_shallow_thinking_openrouter_models_count(self):
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"""Verify OpenRouter shallow thinking models list has expected entries."""
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openrouter_models = SHALLOW_AGENT_OPTIONS.get("openrouter", [])
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# Should have at least 12 models (top 10 + 2 free models)
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assert len(openrouter_models) >= 12, (
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f"Expected at least 12 models, got {len(openrouter_models)}"
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)
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def test_deep_thinking_openrouter_models_count(self):
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"""Verify OpenRouter deep thinking models list has expected entries."""
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openrouter_models = DEEP_AGENT_OPTIONS.get("openrouter", [])
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# Should have at least 12 models (top 10 + 2 free models)
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assert len(openrouter_models) >= 12, (
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f"Expected at least 12 models, got {len(openrouter_models)}"
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)
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def test_openrouter_models_have_required_format(self):
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"""Verify all OpenRouter models follow the expected format."""
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for model_list in [
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SHALLOW_AGENT_OPTIONS.get("openrouter", []),
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DEEP_AGENT_OPTIONS.get("openrouter", []),
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]:
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for display_name, model_id in model_list:
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# Display name should be a string
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assert isinstance(display_name, str), (
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f"Display name must be string, got {type(display_name)}"
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)
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assert len(display_name) > 0, "Display name cannot be empty"
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# Model ID should be a string with provider/model format
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assert isinstance(model_id, str), (
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f"Model ID must be string, got {type(model_id)}"
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)
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assert "/" in model_id, (
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f"Model ID {model_id} should contain provider prefix"
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)
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def test_top_models_included(self):
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"""Verify top ranked models from OpenRouter are included."""
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# Key models that should be present (based on OpenRouter rankings)
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expected_models = [
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"moonshotai/kimi-k2.5-0127", # #1 ranked
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"anthropic/claude-4.5-opus-20251124", # Top Claude
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"anthropic/claude-4.5-sonnet-20250929", # Popular Claude
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"google/gemini-3-flash-preview-20251217", # Top Gemini
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"deepseek/deepseek-v3.2-20251201", # Popular open source
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"x-ai/grok-4.1-fast", # xAI model
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]
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all_models = []
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for options in [SHALLOW_AGENT_OPTIONS, DEEP_AGENT_OPTIONS]:
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all_models.extend(
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[model_id for _, model_id in options.get("openrouter", [])]
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)
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for expected in expected_models:
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assert expected in all_models, (
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f"Expected model {expected} not found in configuration"
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)
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def test_free_models_still_available(self):
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"""Verify free models are still included."""
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free_models = [
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"nvidia/nemotron-3-nano-30b-a3b:free",
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"z-ai/glm-4.5-air:free",
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]
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all_models = []
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for options in [SHALLOW_AGENT_OPTIONS, DEEP_AGENT_OPTIONS]:
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all_models.extend(
|
||||
[model_id for _, model_id in options.get("openrouter", [])]
|
||||
)
|
||||
|
||||
for free_model in free_models:
|
||||
assert free_model in all_models, (
|
||||
f"Free model {free_model} should be preserved"
|
||||
)
|
||||
|
||||
def test_no_duplicate_model_ids(self):
|
||||
"""Verify no duplicate model IDs exist in OpenRouter lists."""
|
||||
for options in [SHALLOW_AGENT_OPTIONS, DEEP_AGENT_OPTIONS]:
|
||||
model_ids = [model_id for _, model_id in options.get("openrouter", [])]
|
||||
assert len(model_ids) == len(set(model_ids)), "Duplicate model IDs found"
|
||||
|
||||
def test_all_providers_have_models(self):
|
||||
"""Verify all supported providers have model entries."""
|
||||
expected_providers = [
|
||||
"openai",
|
||||
"anthropic",
|
||||
"google",
|
||||
"xai",
|
||||
"openrouter",
|
||||
"ollama",
|
||||
]
|
||||
|
||||
for provider in expected_providers:
|
||||
assert provider in SHALLOW_AGENT_OPTIONS, (
|
||||
f"Provider {provider} missing from shallow options"
|
||||
)
|
||||
assert len(SHALLOW_AGENT_OPTIONS[provider]) > 0, (
|
||||
f"Provider {provider} has no shallow models"
|
||||
)
|
||||
|
||||
assert provider in DEEP_AGENT_OPTIONS, (
|
||||
f"Provider {provider} missing from deep options"
|
||||
)
|
||||
assert len(DEEP_AGENT_OPTIONS[provider]) > 0, (
|
||||
f"Provider {provider} has no deep models"
|
||||
)
|
||||
|
||||
def test_model_consistency_between_lists(self):
|
||||
"""Verify common models appear in both shallow and deep lists where applicable."""
|
||||
shallow_models = set(
|
||||
model_id for _, model_id in SHALLOW_AGENT_OPTIONS.get("openrouter", [])
|
||||
)
|
||||
deep_models = set(
|
||||
model_id for _, model_id in DEEP_AGENT_OPTIONS.get("openrouter", [])
|
||||
)
|
||||
|
||||
# Free models should be in both lists
|
||||
free_models = {"nvidia/nemotron-3-nano-30b-a3b:free", "z-ai/glm-4.5-air:free"}
|
||||
for free_model in free_models:
|
||||
assert free_model in shallow_models, (
|
||||
f"Free model {free_model} should be in shallow list"
|
||||
)
|
||||
assert free_model in deep_models, (
|
||||
f"Free model {free_model} should be in deep list"
|
||||
)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
pytest.main([__file__, "-v"])
|
||||
Loading…
Reference in New Issue