Harrison/not verbose (#487)

docs/getting_started/agents.ipynb

@@ -31,7 +31,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "d01216c0",
    "metadata": {},
    "outputs": [],
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "0728f0d9",
    "metadata": {},
    "outputs": [],
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "ba4e7618",
    "metadata": {},
    "outputs": [],
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "03208e2b",
    "metadata": {},
    "outputs": [],
@@ -105,7 +105,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "244ee75c",
    "metadata": {},
    "outputs": [
@@ -119,28 +119,28 @@
       "\u001b[32;1m\u001b[1;3m I need to find out who Olivia Wilde's boyfriend is and then calculate his age raised to the 0.23 power.\n",
       "Action: Search\n",
       "Action Input: \"Olivia Wilde boyfriend\"\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3mJason Sudeikis\u001b[0m\n",
+      "Observation: \u001b[36;1m\u001b[1;3mHarry Styles\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I need to find out Jason Sudeikis' age\n",
+      "Thought:\u001b[32;1m\u001b[1;3m I need to find out Harry Styles' age\n",
       "Action: Search\n",
-      "Action Input: \"Jason Sudeikis age\"\u001b[0m\n",
+      "Action Input: \"Harry Styles age\"\u001b[0m\n",
-      "Observation: \u001b[36;1m\u001b[1;3m47 years\u001b[0m\n",
+      "Observation: \u001b[36;1m\u001b[1;3m28 years\u001b[0m\n",
-      "Thought:\u001b[32;1m\u001b[1;3m I need to calculate 47 raised to the 0.23 power\n",
+      "Thought:\u001b[32;1m\u001b[1;3m I need to calculate 28 raised to the 0.23 power\n",
       "Action: Calculator\n",
-      "Action Input: 47^0.23\u001b[0m\n",
+      "Action Input: 28^0.23\u001b[0m\n",
-      "Observation: \u001b[33;1m\u001b[1;3mAnswer: 2.4242784855673896\n",
+      "Observation: \u001b[33;1m\u001b[1;3mAnswer: 2.1520202182226886\n",
       "\u001b[0m\n",
       "Thought:\u001b[32;1m\u001b[1;3m I now know the final answer\n",
-      "Final Answer: Jason Sudeikis, Olivia Wilde's boyfriend, is 47 years old and his age raised to the 0.23 power is 2.4242784855673896.\u001b[0m\n",
+      "Final Answer: Harry Styles is Olivia Wilde's boyfriend and his current age raised to the 0.23 power is 2.1520202182226886.\u001b[0m\n",
-      "\u001b[1m> Finished AgentExecutor chain.\u001b[0m\n"
+      "\u001b[1m> Finished chain.\u001b[0m\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "\"Jason Sudeikis, Olivia Wilde's boyfriend, is 47 years old and his age raised to the 0.23 power is 2.4242784855673896.\""
+       "\"Harry Styles is Olivia Wilde's boyfriend and his current age raised to the 0.23 power is 2.1520202182226886.\""
       ]
      },
-     "execution_count": 3,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,7 +174,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,

langchain/agents/loading.py

@@ -21,7 +21,6 @@ def initialize_agent(
     llm: BaseLLM,
     agent: str = "zero-shot-react-description",
     callback_manager: Optional[BaseCallbackManager] = None,
-    verbose: bool = False,
     **kwargs: Any,
 ) -> AgentExecutor:
     """Load agent given tools and LLM.
@@ -31,7 +30,6 @@ def initialize_agent(
         llm: Language model to use as the agent.
         agent: The agent to use. Valid options are:
             `zero-shot-react-description`, `react-docstore`, `self-ask-with-search`.
-        verbose: Whether to use the callback manager for this particular agent.
         callback_manager: CallbackManager to use. Global callback manager is used if
             not provided. Defaults to None.
         **kwargs: Additional key word arguments to pass to the agent.
@@ -46,12 +44,11 @@ def initialize_agent(
         )
     agent_cls = AGENT_TO_CLASS[agent]
     agent_obj = agent_cls.from_llm_and_tools(
-        llm, tools, callback_manager=callback_manager, verbose=verbose
+        llm, tools, callback_manager=callback_manager
     )
     return AgentExecutor.from_agent_and_tools(
         agent=agent_obj,
         tools=tools,
         callback_manager=callback_manager,
-        verbose=verbose,
         **kwargs,
     )

tests/unit_tests/agents/test_agent.py

@@ -85,6 +85,7 @@ def test_agent_with_callbacks() -> None:
         verbose=True,
         callback_manager=manager,
     )
+    agent.agent.llm_chain.verbose = True
 
     output = agent.run("when was langchain made")
     assert output == "curses foiled again"