Adriano/Multi_Swarm_Coevolutive
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refactor(layout): rename multi_swarm → multi_swarm_core con doppia nidificazione uv workspace

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- mv src/multi_swarm → src/multi_swarm_core/multi_swarm_core (member layout)
- sed-replace globale degli import: from/import multi_swarm.* → multi_swarm_core.*
- 115 occorrenze aggiornate in src/ scripts/ tests/
- multi_swarm_coevolutive (nome repo) preservato dal word boundary

Pre-condizione per il setup uv workspace della Fase 3.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Adriano Dal Pastro
2026-05-15 17:43:48 +00:00
parent 7d766173a4
commit b6539802e0
103 changed files with 746 additions and 110 deletions
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tests/unit/test_llm_client.py
+12 -12
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@@ -1,7 +1,7 @@
import pytest
from multi_swarm.genome.hypothesis import HypothesisAgentGenome, ModelTier
from multi_swarm.llm.client import CompletionResult, LLMClient
from multi_swarm_core.genome.hypothesis import HypothesisAgentGenome, ModelTier
from multi_swarm_core.llm.client import CompletionResult, LLMClient
def make_genome(tier: ModelTier) -> HypothesisAgentGenome:
@@ -23,7 +23,7 @@ def test_completion_tier_c_uses_openrouter(mocker):
fake_response.usage = mocker.MagicMock(prompt_tokens=100, completion_tokens=200)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.C)
@@ -43,7 +43,7 @@ def test_completion_tier_b_uses_openrouter_with_anthropic_model(mocker):
fake_response.choices = [mocker.MagicMock(message=mocker.MagicMock(content="(strategy ...)"))]
fake_response.usage = mocker.MagicMock(prompt_tokens=80, completion_tokens=150)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.B)
@@ -67,7 +67,7 @@ def test_completion_retries_on_connection_error(mocker):
fake_openai.chat.completions.create.side_effect = openai.APIConnectionError(
request=mocker.MagicMock()
)
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.C)
@@ -86,7 +86,7 @@ def test_completion_uses_custom_model_tier_c(mocker):
]
fake_response.usage = mocker.MagicMock(prompt_tokens=10, completion_tokens=20)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(
openrouter_api_key="or-x",
@@ -109,7 +109,7 @@ def test_completion_uses_custom_model_tier_b(mocker):
]
fake_response.usage = mocker.MagicMock(prompt_tokens=10, completion_tokens=20)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(
openrouter_api_key="or-x",
@@ -130,7 +130,7 @@ def test_completion_tier_s_uses_openrouter_with_anthropic_model(mocker):
fake_response.choices = [mocker.MagicMock(message=mocker.MagicMock(content="(strategy s)"))]
fake_response.usage = mocker.MagicMock(prompt_tokens=50, completion_tokens=100)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.S)
@@ -149,7 +149,7 @@ def test_completion_tier_a_uses_openrouter_with_anthropic_model(mocker):
fake_response.choices = [mocker.MagicMock(message=mocker.MagicMock(content="(strategy a)"))]
fake_response.usage = mocker.MagicMock(prompt_tokens=40, completion_tokens=80)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.A)
@@ -170,7 +170,7 @@ def test_completion_tier_d_uses_openrouter_with_llama(mocker):
]
fake_response.usage = mocker.MagicMock(prompt_tokens=30, completion_tokens=70)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.D)
@@ -191,7 +191,7 @@ def test_completion_uses_custom_model_tier_s(mocker):
]
fake_response.usage = mocker.MagicMock(prompt_tokens=10, completion_tokens=20)
fake_openai.chat.completions.create.return_value = fake_response
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(
openrouter_api_key="or-x",
@@ -221,7 +221,7 @@ def test_completion_succeeds_after_one_retry(mocker):
openai.APITimeoutError(request=mocker.MagicMock()),
fake_response,
]
mocker.patch("multi_swarm.llm.client.OpenAI", return_value=fake_openai)
mocker.patch("multi_swarm_core.llm.client.OpenAI", return_value=fake_openai)
client = LLMClient(openrouter_api_key="or-x")
g = make_genome(ModelTier.C)