made it possible to pass additional tools to CodeInterpreterSession

codeinterpreterapi/session.py

@@ -3,7 +3,7 @@ from io import BytesIO
 from typing import Optional
 from codeboxapi import CodeBox  # type: ignore
 from codeboxapi.schema import CodeBoxOutput  # type: ignore
-from langchain.tools import StructuredTool
+from langchain.tools import StructuredTool, BaseTool
 from langchain.chat_models import ChatOpenAI
 from langchain.chat_models.base import BaseChatModel
 from langchain.prompts.chat import MessagesPlaceholder
@@ -20,10 +20,16 @@ from codeinterpreterapi.chains.remove_download_link import remove_download_link
 
 
 class CodeInterpreterSession:
-    def __init__(self, model=None, openai_api_key=settings.OPENAI_API_KEY, verbose=settings.VERBOSE) -> None:
+    def __init__(
+        self,
+        model=None,
+        openai_api_key=settings.OPENAI_API_KEY,
+        verbose=settings.VERBOSE,
+        tools: list[BaseTool] = None
+    ) -> None:
         self.codebox = CodeBox()
         self.verbose = verbose
-        self.tools: list[StructuredTool] = self._tools()
+        self.tools: list[BaseTool] = self._tools(tools)
         self.llm: BaseChatModel = self._llm(model, openai_api_key)
         self.agent_executor: AgentExecutor = self._agent_executor()
         self.input_files: list[File] = []
@@ -32,8 +38,9 @@ class CodeInterpreterSession:
     async def astart(self) -> None:
         await self.codebox.astart()
 
-    def _tools(self) -> list[StructuredTool]:
-        return [
+    def _tools(self, additional_tools: list[BaseTool] = None) -> list[BaseTool]:
+        additional_tools = additional_tools or []
+        return additional_tools + [
             StructuredTool(
                 name="python",
                 description=

examples/use_additional_tools.py

@@ -0,0 +1,49 @@
+"""
+The exciting part about this example is
+that the code interpreter has internet access
+so it can download the bitcoin chart from yahoo finance
+and plot it for you
+"""
+import csv
+import io
+from datetime import datetime
+from typing import Any
+
+from langchain.tools import tool, BaseTool
+
+from codeinterpreterapi import CodeInterpreterSession
+
+
+class ExampleKnowledgeBaseTool(BaseTool):
+    name = "salary_database"
+    description = "Use to get salary data of company employees"
+
+    def _run(self, *args, **kwargs):
+        raise NotImplementedError()
+
+    async def _arun(self, *args, **kwargs: Any) -> Any:
+        f = io.StringIO()
+        writer = csv.writer(f)
+        writer.writerow(['month', 'employee', 'salary'])
+        writer.writerow(['march 2022', 'Jan', '1200'])
+        writer.writerow(['march 2022', 'Ola', '1500'])
+        writer.writerow(['april 2022', 'Jan', '1800'])
+        writer.writerow(['april 2022', 'Ola', '2000'])
+        return f.getvalue()
+
+
+async def main():
+    async with CodeInterpreterSession(tools=[ExampleKnowledgeBaseTool()]) as session:
+        response = await session.generate_response(
+            f"Plot chart of company employee salaries"
+        )
+
+        print("AI: ", response.content)
+        for file in response.files:
+            file.show_image()
+
+
+if __name__ == "__main__":
+    import asyncio
+
+    asyncio.run(main())