Added the option of specifying a proxy for the OpenAI API (#5246)

# Added the option of specifying a proxy for the OpenAI API

Fixes #5243

Co-authored-by: Yves Maurer <>

docs/modules/models/llms/integrations/openai.ipynb

@@ -21,7 +21,7 @@
    },
    "outputs": [
     {
-     "name": "stdin",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
       " ········\n"
@@ -127,11 +127,20 @@
     "\n",
     "llm_chain.run(question)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58a9ddb1",
+   "metadata": {},
+   "source": [
+    "# if you are behind an explicit proxy, you can use the OPENAI_PROXY environment variable to pass through\n",
+    "os.environ[\"OPENAI_PROXY\"] = \"http://proxy.yourcompany.com:8080\""
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.11.1 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -145,11 +154,11 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.11.1"
   },
   "vscode": {
    "interpreter": {
-    "hash": "a0a0263b650d907a3bfe41c0f8d6a63a071b884df3cfdc1579f00cdc1aed6b03"
+    "hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
    }
   }
  },

docs/modules/models/text_embedding/examples/openai.ipynb

@@ -124,12 +124,15 @@
    "id": "aaad49f8",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# if you are behind an explicit proxy, you can use the OPENAI_PROXY environment variable to pass through\n",
+    "os.environ[\"OPENAI_PROXY\"] = \"http://proxy.yourcompany.com:8080\""
+   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3.11.1 64-bit",
    "language": "python",
    "name": "python3"
   },
@@ -143,11 +146,11 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.11.1"
   },
   "vscode": {
    "interpreter": {
-    "hash": "7377c2ccc78bc62c2683122d48c8cd1fb85a53850a1b1fc29736ed39852c9885"
+    "hash": "e971737741ff4ec9aff7dc6155a1060a59a8a6d52c757dbbe66bf8ee389494b1"
    }
   }
  },