feat(meta-llama): add timeout and max_retries to chat generator

integrations/meta_llama/src/haystack_integrations/components/generators/meta_llama/chat/chat_generator.py

@@ -62,6 +62,8 @@ def __init__(
         streaming_callback: StreamingCallbackT | None = None,
         api_base_url: str | None = "https://api.llama.com/compat/v1/",
         generation_kwargs: dict[str, Any] | None = None,
+        timeout: float | None = None,
+        max_retries: int | None = None,
         tools: ToolsType | None = None,
     ):
         """
@@ -99,6 +101,10 @@ def __init__(
                 For details, see the [OpenAI Structured Outputs documentation](https://platform.openai.com/docs/guides/structured-outputs).
                 For structured outputs with streaming, the `response_format` must be a JSON
                 schema and not a Pydantic model.
+        :param timeout:
+            Timeout for Llama API client calls.
+        :param max_retries:
+            Maximum number of retries to attempt for failed requests.
         :param tools:
             A list of Tool and/or Toolset objects, or a single Toolset for which the model can prepare calls.
             Each tool should have a unique name.
@@ -110,6 +116,8 @@ def __init__(
             api_base_url=api_base_url,
             organization=None,
             generation_kwargs=generation_kwargs,
+            timeout=timeout,
+            max_retries=max_retries,
             tools=tools,
         )
 
@@ -166,5 +174,7 @@ def to_dict(self) -> dict[str, Any]:
             api_base_url=self.api_base_url,
             generation_kwargs=generation_kwargs,
             api_key=self.api_key.to_dict(),
+            timeout=self.timeout,
+            max_retries=self.max_retries,
             tools=serialize_tools_or_toolset(self.tools),
         )

integrations/meta_llama/tests/test_llama_chat_generator.py

@@ -111,6 +111,8 @@ def test_init_default(self, monkeypatch):
         assert component.api_base_url == "https://api.llama.com/compat/v1/"
         assert component.streaming_callback is None
         assert not component.generation_kwargs
+        assert component.timeout is None
+        assert component.max_retries is None
 
     def test_init_fail_wo_api_key(self, monkeypatch):
         monkeypatch.delenv("LLAMA_API_KEY", raising=False)
@@ -124,6 +126,8 @@ def test_init_with_parameters(self):
             streaming_callback=print_streaming_chunk,
             api_base_url="test-base-url",
             generation_kwargs={"max_tokens": 10, "some_test_param": "test-params"},
+            timeout=15.0,
+            max_retries=3,
         )
         assert component.client.api_key == "test-api-key"
         assert component.model == "Llama-4-Scout-17B-16E-Instruct-FP8"
@@ -132,6 +136,8 @@ def test_init_with_parameters(self):
             "max_tokens": 10,
             "some_test_param": "test-params",
         }
+        assert component.timeout == 15.0
+        assert component.max_retries == 3
 
     def test_to_dict_default(self, monkeypatch):
         monkeypatch.setenv("LLAMA_API_KEY", "test-api-key")
@@ -153,6 +159,8 @@ def test_to_dict_default(self, monkeypatch):
             "streaming_callback": None,
             "api_base_url": "https://api.llama.com/compat/v1/",
             "generation_kwargs": {},
+            "timeout": None,
+            "max_retries": None,
         }
 
         for key, value in expected_params.items():
@@ -212,6 +220,8 @@ class NobelPrizeInfo(BaseModel):
             "api_base_url": "test-base-url",
             "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
             "generation_kwargs": {"max_tokens": 10, "some_test_param": "test-params", "response_format": schema},
+            "timeout": None,
+            "max_retries": None,
         }
 
         for key, value in expected_params.items():
@@ -234,6 +244,8 @@ def test_from_dict(self, monkeypatch):
                     "max_tokens": 10,
                     "some_test_param": "test-params",
                 },
+                "timeout": 30.0,
+                "max_retries": 5,
             },
         }
         component = MetaLlamaChatGenerator.from_dict(data)
@@ -245,6 +257,8 @@ def test_from_dict(self, monkeypatch):
             "some_test_param": "test-params",
         }
         assert component.api_key == Secret.from_env_var("LLAMA_API_KEY")
+        assert component.timeout == 30.0
+        assert component.max_retries == 5
 
     def test_from_dict_fail_wo_env_var(self, monkeypatch):
         monkeypatch.delenv("LLAMA_API_KEY", raising=False)
@@ -263,6 +277,8 @@ def test_from_dict_fail_wo_env_var(self, monkeypatch):
                     "max_tokens": 10,
                     "some_test_param": "test-params",
                 },
+                "timeout": 30.0,
+                "max_retries": 5,
             },
         }
         with pytest.raises(ValueError, match=r"None of the .* environment variables are set"):
@@ -561,6 +577,8 @@ def test_serde_in_pipeline(self, monkeypatch):
                         "streaming_callback": "haystack.components.generators.utils.print_streaming_chunk",
                         "api_base_url": "https://api.llama.com/compat/v1/",
                         "generation_kwargs": {"temperature": 0.7},
+                        "timeout": None,
+                        "max_retries": None,
                         "tools": [
                             {
                                 "type": "haystack.tools.tool.Tool",