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nit #5578

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Jun 1, 2023
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nit #5578

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58 changes: 2 additions & 56 deletions docs/integrations/agent_with_wandb_tracing.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"id": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
"metadata": {
"ExecuteTime": {
Expand All @@ -72,61 +72,7 @@
},
"tags": []
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[34m\u001b[1mwandb\u001b[0m: Logging into wandb.ai. (Learn how to deploy a W&B server locally: https://wandb.me/wandb-server)\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: You can find your API key in your browser here: https://wandb.ai/authorize\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: Paste an API key from your profile and hit enter, or press ctrl+c to quit:"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" ········\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\u001b[34m\u001b[1mwandb\u001b[0m: Appending key for api.wandb.ai to your netrc file: /Users/bagatur/.netrc\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: Streaming LangChain activity to W&B at https://wandb.ai/dev-dev2049/langchain-tracing/runs/bhol4jis\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: `WandbTracer` is currently in beta.\n",
"\u001b[34m\u001b[1mwandb\u001b[0m: Please report any issues to https://github.com/wandb/wandb/issues with the tag `langchain`.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
"\u001b[32;1m\u001b[1;3m I need to use a calculator to solve this.\n",
"Action: Calculator\n",
"Action Input: 2^.123243\u001b[0m\n",
"Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.0891804557407723\u001b[0m\n",
"Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
"Final Answer: 1.0891804557407723\u001b[0m\n",
"\n",
"\u001b[1m> Finished chain.\u001b[0m\n"
]
},
{
"data": {
"text/plain": [
"'1.0891804557407723'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"agent = initialize_agent(\n",
" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
Expand Down