feat(LLM): add official support for ChatOllama model.

Author: RobRoyce

demo.sh

@@ -29,6 +29,7 @@ DEVELOPMENT=${DEVELOPMENT:-false}
 case "$(uname)" in
     Linux*|Darwin*)
         echo "Enabling X11 forwarding..."
+        export DISPLAY=host.docker.internal:0
         xhost +
         ;;
     MINGW*|CYGWIN*|MSYS*)
@@ -66,4 +67,4 @@ docker run -it --rm --name $CONTAINER_NAME \
 # Disable X11 forwarding
 xhost -
 
-exit 0
+exit 0

src/rosa/__init__.py

@@ -13,6 +13,6 @@
 #  limitations under the License.
 
 from .prompts import RobotSystemPrompts
-from .rosa import ROSA
+from .rosa import ROSA, ChatModel
 
-__all__ = ["ROSA", "RobotSystemPrompts"]
+__all__ = ["ROSA", "RobotSystemPrompts", "ChatModel"]

src/rosa/rosa.py

@@ -23,19 +23,22 @@
 from langchain_community.callbacks import get_openai_callback
 from langchain_core.messages import AIMessage, HumanMessage
 from langchain_core.prompts import ChatPromptTemplate
+from langchain_ollama import ChatOllama
 from langchain_openai import AzureChatOpenAI, ChatOpenAI
 
 from .prompts import RobotSystemPrompts, system_prompts
 from .tools import ROSATools
 
+ChatModel = Union[ChatOpenAI, AzureChatOpenAI, ChatOllama]
+
 
 class ROSA:
     """ROSA (Robot Operating System Agent) is a class that encapsulates the logic for interacting with ROS systems
     using natural language.
 
     Args:
         ros_version (Literal[1, 2]): The version of ROS that the agent will interact with.
-        llm (Union[AzureChatOpenAI, ChatOpenAI]): The language model to use for generating responses.
+        llm (Union[AzureChatOpenAI, ChatOpenAI, ChatOllama]): The language model to use for generating responses.
         tools (Optional[list]): A list of additional LangChain tool functions to use with the agent.
         tool_packages (Optional[list]): A list of Python packages containing LangChain tool functions to use.
         prompts (Optional[RobotSystemPrompts]): Custom prompts to use with the agent.
@@ -63,7 +66,7 @@ class ROSA:
     def __init__(
         self,
         ros_version: Literal[1, 2],
-        llm: Union[AzureChatOpenAI, ChatOpenAI],
+        llm: ChatModel,
         tools: Optional[list] = None,
         tool_packages: Optional[list] = None,
         prompts: Optional[RobotSystemPrompts] = None,

src/turtle_agent/scripts/turtle_agent.py

@@ -21,8 +21,9 @@
 import pyinputplus as pyip
 import rospy
 from langchain.agents import tool, Tool
-from rich.console import Group  # Add this import
+# from langchain_ollama import ChatOllama
 from rich.console import Console
+from rich.console import Group
 from rich.live import Live
 from rich.markdown import Markdown
 from rich.panel import Panel
@@ -48,6 +49,14 @@ def __init__(self, streaming: bool = False, verbose: bool = True):
         self.__blacklist = ["master", "docker"]
         self.__prompts = get_prompts()
         self.__llm = get_llm(streaming=streaming)
+
+        # self.__llm = ChatOllama(
+        #     base_url="host.docker.internal:11434",
+        #     model="llama3.1",
+        #     temperature=0,
+        #     num_ctx=8192,
+        # )
+
         self.__streaming = streaming
 
         # Another method for adding tools