v2.3.47

.gitignore

@@ -38,4 +38,7 @@ venv*
 phienv*
 aienv*
 
+# ignore scratch dir
+scratch
+
 .ipynb_checkpoints

phi/llm/ollama/chat.py

@@ -18,7 +18,7 @@
 
 class Ollama(LLM):
  name: str = "Ollama"
- model: str = "llama2"
+ model: str = "openhermes"
  host: Optional[str] = None
  timeout: Optional[Any] = None
  format: Optional[str] = None
@@ -143,10 +143,9 @@ def response(self, messages: List[Message]) -> str:
  for tool_call in assistant_tool_calls:
  tool_call_name = tool_call.get("name")
  tool_call_args = tool_call.get("arguments")
- _function_def = {
- "name": tool_call_name,
- "arguments": json.dumps(tool_call_args),
- }
+ _function_def = {"name": tool_call_name}
+ if tool_call_args is not None:
+ _function_def["arguments"] = json.dumps(tool_call_args)
  tool_calls.append(
  {
  "type": "function",
@@ -291,10 +290,9 @@ def response_stream(self, messages: List[Message]) -> Iterator[str]:
  for tool_call in assistant_tool_calls:
  tool_call_name = tool_call.get("name")
  tool_call_args = tool_call.get("arguments")
- _function_def = {
- "name": tool_call_name,
- "arguments": json.dumps(tool_call_args),
- }
+ _function_def = {"name": tool_call_name}
+ if tool_call_args is not None:
+ _function_def["arguments"] = json.dumps(tool_call_args)
  tool_calls.append(
  {
  "type": "function",

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "phidata"
-version = "2.3.46"
+version = "2.3.47"
 description = "Build AI Assistants using function calling"
 requires-python = ">=3.8"
 readme = "README.md"
@@ -71,7 +71,7 @@ check_untyped_defs = true
 no_implicit_optional = true
 warn_unused_configs = true
 plugins = ["pydantic.mypy"]
-exclude = ["phienv*", "aienv*"]
+exclude = ["phienv*", "aienv*", "scratch*"]
 
 [[tool.mypy.overrides]]
 module = [