Updated to v0.3.3 with changes to options handling (#3593)

Author: marklysze

autogen/oai/ollama.py

@@ -127,7 +127,7 @@ def parse_params(self, params: Dict[str, Any]) -> Dict[str, Any]:
 
         if "num_predict" in params:
             # Maximum number of tokens to predict, note: -1 is infinite, -2 is fill context, 128 is default
-            ollama_params["num_predict"] = validate_parameter(params, "num_predict", int, False, 128, None, None)
+            options_dict["num_predict"] = validate_parameter(params, "num_predict", int, False, 128, None, None)
 
         if "repeat_penalty" in params:
             options_dict["repeat_penalty"] = validate_parameter(
@@ -138,15 +138,15 @@ def parse_params(self, params: Dict[str, Any]) -> Dict[str, Any]:
             options_dict["seed"] = validate_parameter(params, "seed", int, False, 42, None, None)
 
         if "temperature" in params:
-            ollama_params["temperature"] = validate_parameter(
+            options_dict["temperature"] = validate_parameter(
                 params, "temperature", (int, float), False, 0.8, None, None
             )
 
         if "top_k" in params:
-            ollama_params["top_k"] = validate_parameter(params, "top_k", int, False, 40, None, None)
+            options_dict["top_k"] = validate_parameter(params, "top_k", int, False, 40, None, None)
 
         if "top_p" in params:
-            ollama_params["top_p"] = validate_parameter(params, "top_p", (int, float), False, 0.9, None, None)
+            options_dict["top_p"] = validate_parameter(params, "top_p", (int, float), False, 0.9, None, None)
 
         if self._native_tool_calls and self._tools_in_conversation and not self._should_hide_tools:
             ollama_params["tools"] = params["tools"]

setup.py

@@ -105,7 +105,7 @@
     "mistral": ["mistralai>=1.0.1"],
     "groq": ["groq>=0.9.0"],
     "cohere": ["cohere>=5.5.8"],
-    "ollama": ["ollama>=0.3.1", "fix_busted_json>=0.0.18"],
+    "ollama": ["ollama>=0.3.3", "fix_busted_json>=0.0.18"],
     "bedrock": ["boto3>=1.34.149"],
 }
 

test/oai/test_ollama.py

@@ -65,13 +65,13 @@ def test_parsing_params(ollama_client):
     }
     expected_params = {
         "model": "llama3.1:8b",
-        "temperature": 0.8,
-        "num_predict": 128,
-        "top_k": 40,
-        "top_p": 0.9,
         "options": {
             "repeat_penalty": 1.1,
             "seed": 42,
+            "temperature": 0.8,
+            "num_predict": 128,
+            "top_k": 40,
+            "top_p": 0.9,
         },
         "stream": False,
     }