Adriano
ea403ec2d5
Avvolge LLMClient.complete con tenacity (3 attempts, backoff esponenziale 2-10s) che ritenta solo su errori transient di OpenAI/Anthropic SDK (APIConnectionError, APITimeoutError, InternalServerError). RateLimit, Authentication e 4xx non vengono ritentati. reraise=True preserva l'eccezione originale dopo l'esaurimento dei tentativi. Aggiunti 2 test (marker slow): esaurimento retry su APIConnectionError e successo al secondo tentativo dopo APITimeoutError. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
103 lines
3.6 KiB
Python
103 lines
3.6 KiB
Python
import pytest
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from multi_swarm.genome.hypothesis import HypothesisAgentGenome, ModelTier
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from multi_swarm.llm.client import CompletionResult, LLMClient
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def make_genome(tier: ModelTier) -> HypothesisAgentGenome:
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return HypothesisAgentGenome(
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system_prompt="x",
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feature_access=["close"],
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temperature=0.9,
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top_p=0.95,
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model_tier=tier,
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lookback_window=200,
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cognitive_style="physicist",
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)
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def test_completion_tier_c_uses_openrouter(mocker):
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fake_openai = mocker.MagicMock()
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fake_response = mocker.MagicMock()
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fake_response.choices = [mocker.MagicMock(message=mocker.MagicMock(content="(strategy ...)"))]
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fake_response.usage = mocker.MagicMock(prompt_tokens=100, completion_tokens=200)
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fake_openai.chat.completions.create.return_value = fake_response
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mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
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client = LLMClient(openrouter_api_key="or-x", anthropic_api_key=None)
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g = make_genome(ModelTier.C)
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out = client.complete(g, system="sys", user="usr")
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assert isinstance(out, CompletionResult)
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assert out.text == "(strategy ...)"
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assert out.input_tokens == 100
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assert out.output_tokens == 200
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assert out.tier == ModelTier.C
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fake_openai.chat.completions.create.assert_called_once()
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def test_completion_tier_b_uses_anthropic(mocker):
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fake_anthropic = mocker.MagicMock()
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fake_msg = mocker.MagicMock()
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fake_msg.content = [mocker.MagicMock(text="(strategy ...)")]
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fake_msg.usage = mocker.MagicMock(input_tokens=80, output_tokens=150)
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fake_anthropic.messages.create.return_value = fake_msg
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mocker.patch("multi_swarm.llm.client.Anthropic", return_value=fake_anthropic)
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client = LLMClient(openrouter_api_key="or-x", anthropic_api_key="an-x")
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g = make_genome(ModelTier.B)
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out = client.complete(g, system="sys", user="usr")
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assert out.text == "(strategy ...)"
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assert out.input_tokens == 80
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assert out.output_tokens == 150
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assert out.tier == ModelTier.B
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@pytest.mark.slow
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def test_completion_retries_on_connection_error(mocker):
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"""Retry esegue 3 tentativi su APIConnectionError, poi rilancia."""
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import openai
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fake_openai = mocker.MagicMock()
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fake_openai.chat.completions.create.side_effect = openai.APIConnectionError(
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request=mocker.MagicMock()
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)
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mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
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client = LLMClient(openrouter_api_key="or-x", anthropic_api_key=None)
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g = make_genome(ModelTier.C)
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with pytest.raises(openai.APIConnectionError):
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client.complete(g, system="sys", user="usr")
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assert fake_openai.chat.completions.create.call_count == 3
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@pytest.mark.slow
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def test_completion_succeeds_after_one_retry(mocker):
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"""Dopo 1 fallimento transient, il retry riesce al 2 tentativo."""
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import openai
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fake_response = mocker.MagicMock()
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fake_response.choices = [
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mocker.MagicMock(message=mocker.MagicMock(content="(strategy ...)"))
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]
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fake_response.usage = mocker.MagicMock(prompt_tokens=100, completion_tokens=200)
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fake_openai = mocker.MagicMock()
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fake_openai.chat.completions.create.side_effect = [
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openai.APITimeoutError(request=mocker.MagicMock()),
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fake_response,
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]
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mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
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client = LLMClient(openrouter_api_key="or-x", anthropic_api_key=None)
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g = make_genome(ModelTier.C)
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out = client.complete(g, system="sys", user="usr")
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assert isinstance(out, CompletionResult)
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assert out.text == "(strategy ...)"
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assert fake_openai.chat.completions.create.call_count == 2
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