readme, tests

Author: rbs333

.github/workflows/test.yml

@@ -7,6 +7,8 @@ on:
   push:
     branches:
       - main
+  schedule:
+    - cron: '0 0 * * 1' # Runs every Monday
 
 jobs:
   test:

README.md

@@ -85,6 +85,7 @@ An estimated 31% of LLM queries are potentially redundant ([source](https://arxi
 | --- | --- |
 [/agents/00_langgraph_redis_agentic_rag.ipynb](python-recipes/agents/00_langgraph_redis_agentic_rag.ipynb) | Notebook to get started with lang-graph and agents |
 [/agents/01_crewai_langgraph_redis.ipynb](python-recipes/agents/01_crewai_langgraph_redis.ipynb) | Notebook to get started with lang-graph and agents |
+[/agents/02_full_featured_agent.ipynb](python-recipes/agents/02_full_featured_agent.ipynb) | Notebook builds full tool calling agent with semantic cache and router |
 
 ### Computer Vision
 | Recipe | Description |

python-recipes/agents/02_full_featured_agent.ipynb

@@ -70,6 +70,7 @@
         }
       ],
       "source": [
+        "# NBVAL_SKIP\n",
         "import getpass\n",
         "import os\n",
         "\n",
@@ -173,7 +174,7 @@
         "REDIS_URL = os.getenv(\"REDIS_URL\", \"redis://localhost:6379\")\n",
         "\n",
         "client = Redis.from_url(REDIS_URL)\n",
-        "client.ping()\n"
+        "client.ping()"
       ]
     },
     {
@@ -501,7 +502,6 @@
       "outputs": [],
       "source": [
         "from typing import Literal, TypedDict\n",
-        "\n",
         "from langgraph.graph import END, StateGraph\n",
         "\n",
         "\n",
@@ -526,7 +526,6 @@
         "\n",
         "# Add nodes\n",
         "workflow.add_node(\"agent\", call_tool_model)\n",
-        "\n",
         "workflow.add_node(\"tools\", tool_node)\n",
         "workflow.add_node(\"structure_response\", structure_response)\n",
         "\n",
@@ -542,13 +541,10 @@
         "\n",
         "\n",
         "# We now add a normal edge from `tools` to `agent`.\n",
-        "# This means that after `tools` is called, `agent` node is called next.\n",
         "workflow.add_edge(\"tools\", \"agent\")\n",
-        "# workflow.add_edge(\"multi_choice_structured\", END)\n",
         "workflow.add_edge(\"structure_response\", END)\n",
         "\n",
         "\n",
-        "# Finally, we compile it!\n",
         "# This compiles it into a LangChain Runnable,\n",
         "# meaning you can use it as you would any other runnable\n",
         "graph = workflow.compile()\n"
@@ -641,7 +637,9 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Scenario 2"
+        "## Scenario 2 - restocking tool\n",
+        "\n",
+        "In this test we want to see the agent choose the restocking tool and choose to use the multiple choice output."
       ]
     },
     {
@@ -693,7 +691,9 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Scenario 3"
+        "## Scenario 3 - retriever tool\n",
+        "\n",
+        "In this test, we want to see the retrieval tool invoked and multiple choice structured response."
       ]
     },
     {
@@ -981,13 +981,6 @@
         "    \n",
         "    return graph.invoke({\"messages\": question})\n"
       ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": []
     }
   ],
   "metadata": {