chore: remote list_tools

README.md

@@ -100,21 +100,6 @@ Aside from the list methods there are `exec` and `exec_file` methods that allow
 responses. Those functions also provide a streaming version of execution if you want to process the output streams in
 your code as the tool is running.
 
-### `list_tools()`
-
-This function lists the available tools.
-
-```python
-from gptscript.gptscript import GPTScript
-
-
-async def list_tools():
-    gptscript = GPTScript()
-    tools = await gptscript.list_tools()
-    print(tools)
-    gptscript.close()
-```
-
 ### `list_models()`
 
 This function lists the available GPT models.

gptscript/gptscript.py

@@ -148,9 +148,6 @@ async def _run_basic_command(self, sub_command: str, request_body: Any = None):
     async def version(self) -> str:
         return await self._run_basic_command("version")
 
-    async def list_tools(self) -> str:
-        return await self._run_basic_command("list-tools")
-
     async def list_models(self, providers: list[str] = None, credential_overrides: list[str] = None) -> list[str]:
         if self.opts.DefaultModelProvider != "":
             if providers is None:

tests/test_gptscript.py

@@ -144,12 +144,6 @@ async def test_list_models_from_default_provider():
         g.close()
 
 
-@pytest.mark.asyncio
-async def test_list_tools(gptscript):
-    out = await gptscript.list_tools()
-    assert out is not None, "Expected some output from list_tools"
-
-
 @pytest.mark.asyncio
 async def test_abort_run(gptscript):
     async def abort_run(run: Run, e: CallFrame | RunFrame | PromptFrame):