fix(llms): accept and forward **kwargs in Together/LangChain/Sarvam providers (#5556)

tests/llms/test_sarvam.py

@@ -0,0 +1,46 @@
+from unittest.mock import Mock, patch
+
+import pytest
+
+from mem0.configs.llms.base import BaseLlmConfig
+from mem0.llms.sarvam import SarvamLLM
+
+
+@pytest.fixture
+def sarvam_llm():
+    config = BaseLlmConfig(model="sarvam-m", temperature=0.7, max_tokens=100, top_p=1.0, api_key="test-api-key")
+    return SarvamLLM(config)
+
+
+def _mock_post(content="Hello there!"):
+    mock_response = Mock()
+    mock_response.raise_for_status.return_value = None
+    mock_response.json.return_value = {"choices": [{"message": {"content": content}}]}
+    return mock_response
+
+
+def test_generate_response_returns_content(sarvam_llm):
+    with patch("mem0.llms.sarvam.requests.post", return_value=_mock_post("Hi!")) as mock_post:
+        messages = [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": "Hello, how are you?"},
+        ]
+        response = sarvam_llm.generate_response(messages)
+
+    assert response == "Hi!"
+    sent_payload = mock_post.call_args.kwargs["json"]
+    assert sent_payload["model"] == "sarvam-m"
+    assert sent_payload["messages"] == messages
+    assert sent_payload["temperature"] == 0.7
+
+
+def test_generate_response_forwards_extra_kwargs(sarvam_llm):
+    """Per the LLMBase contract, extra provider-specific kwargs must be accepted and
+    forwarded into the Sarvam request payload."""
+    with patch("mem0.llms.sarvam.requests.post", return_value=_mock_post("Hi!")) as mock_post:
+        messages = [{"role": "user", "content": "Hello"}]
+        response = sarvam_llm.generate_response(messages, frequency_penalty=0.5)
+
+    assert response == "Hi!"
+    sent_payload = mock_post.call_args.kwargs["json"]
+    assert sent_payload["frequency_penalty"] == 0.5