fix(crusoe): fix docs trailing slash, test state pollution, missing __init__.py

- Remove trailing slash from docs Base URL to match providers.json
- Wrap model_cost mutations in try/finally to prevent test state leakage
- Add missing __init__.py to crusoe test package

docs/my-website/docs/providers/crusoe.md

@@ -10,7 +10,7 @@ import TabItem from '@theme/TabItem';
 | Description | Crusoe Cloud provides GPU-accelerated inference for open-source large language models, optimized for performance and cost efficiency. |
 | Provider Route on LiteLLM | `crusoe/` |
 | Link to Provider Doc | [Crusoe Managed Inference Documentation ↗](https://docs.crusoecloud.com/managed-inference/overview/index.html) |
-| Base URL | `https://managed-inference-api-proxy.crusoecloud.com/v1/` |
+| Base URL | `https://managed-inference-api-proxy.crusoecloud.com/v1` |
 | Supported Operations | [`/chat/completions`](#sample-usage) |
 
 <br />

tests/llm_translation/test_crusoe.py

@@ -77,10 +77,13 @@ def test_crusoe_models_configuration():
     """Test that Crusoe models are configured correctly"""
     from litellm import get_model_info
 
-    os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
-    litellm.model_cost = litellm.get_model_cost_map(url="")
+    original_model_cost = litellm.model_cost
+    original_env = os.environ.get("LITELLM_LOCAL_MODEL_COST_MAP")
+    try:
+        os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+        litellm.model_cost = litellm.get_model_cost_map(url="")
 
-    crusoe_models = [
+        crusoe_models = [
         "crusoe/meta-llama/Llama-3.3-70B-Instruct",
         "crusoe/deepseek-ai/DeepSeek-R1-0528",
         "crusoe/deepseek-ai/DeepSeek-V3-0324",
@@ -90,10 +93,16 @@ def test_crusoe_models_configuration():
         "crusoe/google/gemma-3-12b-it",
     ]
 
-    for model in crusoe_models:
-        model_info = get_model_info(model)
-        assert model_info is not None, f"Model info not found for {model}"
-        assert model_info.get("litellm_provider") == "crusoe", (
-            f"{model} should have crusoe as provider"
-        )
-        assert model_info.get("mode") == "chat", f"{model} should be in chat mode"
+        for model in crusoe_models:
+            model_info = get_model_info(model)
+            assert model_info is not None, f"Model info not found for {model}"
+            assert model_info.get("litellm_provider") == "crusoe", (
+                f"{model} should have crusoe as provider"
+            )
+            assert model_info.get("mode") == "chat", f"{model} should be in chat mode"
+    finally:
+        litellm.model_cost = original_model_cost
+        if original_env is None:
+            os.environ.pop("LITELLM_LOCAL_MODEL_COST_MAP", None)
+        else:
+            os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = original_env

tests/test_litellm/llms/crusoe/test_crusoe.py

@@ -91,18 +91,27 @@ def test_crusoe_model_list_populated():
     """Test Crusoe models are present in model_prices_and_context_window.json"""
     import litellm
 
-    os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
-    litellm.model_cost = litellm.get_model_cost_map(url="")
+    original_model_cost = litellm.model_cost
+    original_env = os.environ.get("LITELLM_LOCAL_MODEL_COST_MAP")
+    try:
+        os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+        litellm.model_cost = litellm.get_model_cost_map(url="")
 
-    expected = [
-        "crusoe/meta-llama/Llama-3.3-70B-Instruct",
-        "crusoe/deepseek-ai/DeepSeek-R1-0528",
-        "crusoe/deepseek-ai/DeepSeek-V3-0324",
-        "crusoe/Qwen/Qwen3-235B-A22B-Instruct-2507",
-        "crusoe/moonshotai/Kimi-K2-Thinking",
-        "crusoe/openai/gpt-oss-120b",
-        "crusoe/google/gemma-3-12b-it",
-    ]
-    for model in expected:
-        assert model in litellm.model_cost, f"{model} not found in model_cost"
-        assert litellm.model_cost[model].get("litellm_provider") == "crusoe"
+        expected = [
+            "crusoe/meta-llama/Llama-3.3-70B-Instruct",
+            "crusoe/deepseek-ai/DeepSeek-R1-0528",
+            "crusoe/deepseek-ai/DeepSeek-V3-0324",
+            "crusoe/Qwen/Qwen3-235B-A22B-Instruct-2507",
+            "crusoe/moonshotai/Kimi-K2-Thinking",
+            "crusoe/openai/gpt-oss-120b",
+            "crusoe/google/gemma-3-12b-it",
+        ]
+        for model in expected:
+            assert model in litellm.model_cost, f"{model} not found in model_cost"
+            assert litellm.model_cost[model].get("litellm_provider") == "crusoe"
+    finally:
+        litellm.model_cost = original_model_cost
+        if original_env is None:
+            os.environ.pop("LITELLM_LOCAL_MODEL_COST_MAP", None)
+        else:
+            os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = original_env