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feat(config): align tier defaults to cost-conscious models + qwen3-235b on tier C

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- Tier S → google/gemini-3-flash-preview ($0.50/$3.00)
- Tier A/B → deepseek/deepseek-v4-flash ($0.14/$0.28)
- Tier C → qwen/qwen3-235b-a22b-2507 ($0.071/$0.10) — Phase 2 target
- Tier D → openai/gpt-oss-20b ($0.03/$0.14)

Aggiornato cost_tracker con prezzi reali per tier. Defaults config.py
ora rispecchiano .env corrente per evitare divergenze dead-code.

Tier S/A/B/D restano cablati ma non ancora invocati nel loop Phase 2
(solo Hypothesis tier C attivo).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
AdrianoDev
2026-05-11 22:13:49 +02:00
parent 68637d1102
commit 9c53995f23
8 changed files with 39 additions and 39 deletions
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tests/unit/test_llm_client.py
+8 -8
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@@ -54,8 +54,8 @@ def test_completion_tier_b_uses_openrouter_with_anthropic_model(mocker):
assert out.output_tokens == 150
assert out.tier == ModelTier.B
call_kwargs = fake_openai.chat.completions.create.call_args.kwargs
assert call_kwargs["model"] == "anthropic/claude-sonnet-4-6"
assert out.model == "anthropic/claude-sonnet-4-6"
assert call_kwargs["model"] == "deepseek/deepseek-v4-flash"
assert out.model == "deepseek/deepseek-v4-flash"
@pytest.mark.slow
@@ -138,9 +138,9 @@ def test_completion_tier_s_uses_openrouter_with_anthropic_model(mocker):
fake_openai.chat.completions.create.assert_called_once()
call_kwargs = fake_openai.chat.completions.create.call_args.kwargs
assert call_kwargs["model"] == "anthropic/claude-opus-4-7"
assert call_kwargs["model"] == "google/gemini-3-flash-preview"
assert out.tier == ModelTier.S
assert out.model == "anthropic/claude-opus-4-7"
assert out.model == "google/gemini-3-flash-preview"
def test_completion_tier_a_uses_openrouter_with_anthropic_model(mocker):
@@ -157,9 +157,9 @@ def test_completion_tier_a_uses_openrouter_with_anthropic_model(mocker):
fake_openai.chat.completions.create.assert_called_once()
call_kwargs = fake_openai.chat.completions.create.call_args.kwargs
assert call_kwargs["model"] == "anthropic/claude-sonnet-4-6"
assert call_kwargs["model"] == "deepseek/deepseek-v4-flash"
assert out.tier == ModelTier.A
assert out.model == "anthropic/claude-sonnet-4-6"
assert out.model == "deepseek/deepseek-v4-flash"
def test_completion_tier_d_uses_openrouter_with_llama(mocker):
@@ -178,9 +178,9 @@ def test_completion_tier_d_uses_openrouter_with_llama(mocker):
fake_openai.chat.completions.create.assert_called_once()
call_kwargs = fake_openai.chat.completions.create.call_args.kwargs
assert call_kwargs["model"] == "meta-llama/llama-3.3-70b-instruct"
assert call_kwargs["model"] == "openai/gpt-oss-20b"
assert out.tier == ModelTier.D
assert out.model == "meta-llama/llama-3.3-70b-instruct"
assert out.model == "openai/gpt-oss-20b"
def test_completion_uses_custom_model_tier_s(mocker):