Fixes before release (#254)

* Fixes before release

docs/source/en/reference/agents.md

@@ -136,8 +136,8 @@ messages = [
   {"role": "user", "content": "No need to help, take it easy."},
 ]
 
-model = LiteLLMModel("anthropic/claude-3-5-sonnet-latest", temperature=0.2)
-print(model(messages, max_tokens=10))
+model = LiteLLMModel("anthropic/claude-3-5-sonnet-latest", temperature=0.2, max_tokens=10)
+print(model(messages))
 ```
 
 [[autodoc]] LiteLLMModel
@@ -145,12 +145,13 @@ print(model(messages, max_tokens=10))
 ### OpenAiServerModel
 
 This class lets you call any OpenAIServer compatible model.
-Here's how you can set it:
+Here's how you can set it (you can customise the `api_base` url to point to another server):
 ```py
+from smolagents import OpenAIServerModel
+
 model = OpenAIServerModel(
     model_id="gpt-4o",
-    base_url="https://api.openai.com/v1",
+    api_base="https://api.openai.com/v1",
     api_key=os.environ["OPENAI_API_KEY"],
 )
-model=LiteLLMModel("gpt-4o", api_key=os.environ["OPENAI_API_KEY"])
 ```

docs/source/zh/guided_tour.md

@@ -173,9 +173,9 @@ Transformers 附带了一个用于增强 agent 的默认工具箱，您可以在
 您可以通过调用 [`load_tool`] 函数和要执行的任务手动使用工具。
 
 ```python
-from smolagents import load_tool
+from smolagents import DuckDuckGoSearchTool
 
-search_tool = load_tool("web_search")
+search_tool = DuckDuckGoSearchTool()
 print(search_tool("Who's the current president of Russia?"))
 ```
 

docs/source/zh/reference/agents.md

@@ -136,8 +136,8 @@ messages = [
   {"role": "user", "content": "No need to help, take it easy."},
 ]
 
-model = LiteLLMModel("anthropic/claude-3-5-sonnet-latest", temperature=0.2)
-print(model(messages, max_tokens=10))
+model = LiteLLMModel("anthropic/claude-3-5-sonnet-latest", temperature=0.2, max_tokens=10)
+print(model(messages))
 ```
 
 [[autodoc]] LiteLLMModel

examples/tool_calling_agent_mcp.py

@@ -23,5 +23,5 @@ mcp_server_params = StdioServerParameters(
 
 with ToolCollection.from_mcp(mcp_server_params) as tool_collection:
     # print(tool_collection.tools[0](request={"term": "efficient treatment hangover"}))
-    agent = CodeAgent(tools=tool_collection.tools, model=HfApiModel())
-    agent.run("Find studies about hangover?")
+    agent = CodeAgent(tools=tool_collection.tools, model=HfApiModel(), max_steps=4)
+    agent.run("Find me one risk associated with drinking alcohol regularly on low doses for humans.")

pyproject.toml

@@ -37,7 +37,8 @@ litellm = [
   "litellm>=1.55.10",
 ]
 mcp = [
-  "mcpadapt>=0.0.6"
+  "mcpadapt>=0.0.6",
+  "mcp",
 ]
 openai = [
   "openai>=1.58.1"

src/smolagents/e2b_executor.py

@@ -43,7 +43,7 @@ class E2BExecutor:
         # )
         # print("Installation of agents package finished.")
         self.logger = logger
-        additional_imports = additional_imports + ["pickle5"]
+        additional_imports = additional_imports + ["pickle5", "smolagents"]
         if len(additional_imports) > 0:
             execution = self.sbx.commands.run(
                 "pip install " + " ".join(additional_imports)

tests/test_all_docs.py

@@ -85,7 +85,7 @@ class TestDocs:
     def setup_class(cls):
         cls._tmpdir = tempfile.mkdtemp()
         cls.launch_args = ["python3"]
-        cls.docs_dir = Path(__file__).parent.parent / "docs" / "source"
+        cls.docs_dir = Path(__file__).parent.parent / "docs" / "source" / "en"
         cls.extractor = DocCodeExtractor()
 
         if not cls.docs_dir.exists():