mirror of
https://github.com/MervinPraison/PraisonAI.git
synced 2026-11-08 17:31:00 -10:00
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No files matched your search
@@ -29,8 +29,11 @@ jobs:
|
||||
with:
|
||||
fetch-depth: 1
|
||||
|
||||
- name: Run Claude Code
|
||||
- name: Run Claude Code (OAuth)
|
||||
id: claude
|
||||
uses: anthropics/claude-code-action@beta
|
||||
uses: grll/claude-code-action@beta
|
||||
with:
|
||||
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
|
||||
use_oauth: true
|
||||
claude_access_token: ${{ secrets.CLAUDE_ACCESS_TOKEN }}
|
||||
claude_refresh_token: ${{ secrets.CLAUDE_REFRESH_TOKEN }}
|
||||
claude_expires_at: ${{ secrets.CLAUDE_EXPIRES_AT }}
|
||||
+1
-1
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
flask \
|
||||
"praisonai>=2.2.34" \
|
||||
"praisonai>=2.2.36" \
|
||||
"praisonai[api]" \
|
||||
gunicorn \
|
||||
markdown
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=2.2.34" \
|
||||
"praisonai>=2.2.36" \
|
||||
"praisonai[chat]" \
|
||||
"embedchain[github,youtube]"
|
||||
|
||||
|
||||
@@ -20,7 +20,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=2.2.34" \
|
||||
"praisonai>=2.2.36" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[chat]" \
|
||||
"praisonai[realtime]" \
|
||||
|
||||
@@ -16,7 +16,7 @@ RUN mkdir -p /root/.praison
|
||||
# Install Python packages (using latest versions)
|
||||
RUN pip install --no-cache-dir \
|
||||
praisonai_tools \
|
||||
"praisonai>=2.2.34" \
|
||||
"praisonai>=2.2.36" \
|
||||
"praisonai[ui]" \
|
||||
"praisonai[crewai]"
|
||||
|
||||
|
||||
+2
-2
@@ -121,7 +121,7 @@ healthcheck:
|
||||
## 📦 Package Versions
|
||||
|
||||
All Docker images use consistent, up-to-date versions:
|
||||
- PraisonAI: `>=2.2.34`
|
||||
- PraisonAI: `>=2.2.36`
|
||||
- PraisonAI Agents: `>=0.0.92`
|
||||
- Python: `3.11-slim`
|
||||
|
||||
@@ -218,7 +218,7 @@ docker-compose up -d
|
||||
### Version Pinning
|
||||
To use specific versions, update the Dockerfile:
|
||||
```dockerfile
|
||||
RUN pip install "praisonai==2.2.34" "praisonaiagents==0.0.92"
|
||||
RUN pip install "praisonai==2.2.36" "praisonaiagents==0.0.92"
|
||||
```
|
||||
|
||||
## 🌐 Production Deployment
|
||||
|
||||
@@ -0,0 +1,970 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "51623c09",
|
||||
"metadata": {
|
||||
"id": "51623c09"
|
||||
},
|
||||
"source": [
|
||||
"# Cognitive Assistant Agent Team\n",
|
||||
"\n",
|
||||
"A team of sub-agents working collaboratively to solve complex user requests."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "YymTE1zgX9y2",
|
||||
"metadata": {
|
||||
"id": "YymTE1zgX9y2"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Cognitive_Assistant_Agent_Team.ipynb)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "tEF0aobxXgm5",
|
||||
"metadata": {
|
||||
"id": "tEF0aobxXgm5"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "9ce5977e",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "9ce5977e",
|
||||
"outputId": "92f0a4b2-fbb8-4141-f385-d827ece08704"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/497.7 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m163.8/497.7 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m491.5/497.7 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m497.7/497.7 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
|
||||
" Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
|
||||
" Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m44.3/44.3 kB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m94.7/94.7 kB\u001b[0m \u001b[31m4.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.2/130.2 kB\u001b[0m \u001b[31m8.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m176.8/176.8 kB\u001b[0m \u001b[31m10.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.9/3.9 MB\u001b[0m \u001b[31m43.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m8.7/8.7 MB\u001b[0m \u001b[31m63.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.4/105.4 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m220.7/220.7 kB\u001b[0m \u001b[31m13.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.2/45.2 kB\u001b[0m \u001b[31m2.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m392.1/392.1 kB\u001b[0m \u001b[31m18.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.1/99.1 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m266.1/266.1 kB\u001b[0m \u001b[31m18.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m76.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.1/79.1 kB\u001b[0m \u001b[31m5.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m469.0/469.0 kB\u001b[0m \u001b[31m31.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h Building wheel for praisonai (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install -q praisonai openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "S1JhxGZ9XlBj",
|
||||
"metadata": {
|
||||
"id": "S1JhxGZ9XlBj"
|
||||
},
|
||||
"source": [
|
||||
"# set your OpenAI API key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "95f683e0",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "95f683e0",
|
||||
"outputId": "a9153e56-07af-4902-e23a-7567240c302b"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Enter your OpenAI API key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter your OpenAI API key: \")\n",
|
||||
"import openai\n",
|
||||
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "WOzIiAI5Xo8L",
|
||||
"metadata": {
|
||||
"id": "WOzIiAI5Xo8L"
|
||||
},
|
||||
"source": [
|
||||
"# Import PraisonAI Agents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "45c7dda2",
|
||||
"metadata": {
|
||||
"id": "45c7dda2"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent, Task, PraisonAIAgents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "br09CepoXthm",
|
||||
"metadata": {
|
||||
"id": "br09CepoXthm"
|
||||
},
|
||||
"source": [
|
||||
"# Define agents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "7183ec1d",
|
||||
"metadata": {
|
||||
"id": "7183ec1d"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"planner = Agent(\n",
|
||||
" name=\"PlannerAgent\",\n",
|
||||
" instructions=\"You are a planning expert. Your job is to break down complex tasks into actionable steps.\",\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"researcher = Agent(\n",
|
||||
" name=\"ResearchAgent\",\n",
|
||||
" instructions=\"You are a research specialist. Find relevant information to support the task at hand.\",\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"writer = Agent(\n",
|
||||
" name=\"WritingAgent\",\n",
|
||||
" instructions=\"You are a professional writer. Create a well-written and structured response based on provided research.\",\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "77YEFKaGXxSX",
|
||||
"metadata": {
|
||||
"id": "77YEFKaGXxSX"
|
||||
},
|
||||
"source": [
|
||||
"# Define tasks"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "408c39e9",
|
||||
"metadata": {
|
||||
"id": "408c39e9"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"planning_task = Task(\n",
|
||||
" name=\"PlanningTask\",\n",
|
||||
" description=\"Break down the request into subtasks\",\n",
|
||||
" expected_output=\"A list of clear, actionable substeps\",\n",
|
||||
" agent=planner\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"research_task = Task(\n",
|
||||
" name=\"ResearchTask\",\n",
|
||||
" description=\"Research background information on the topic\",\n",
|
||||
" expected_output=\"Summarized findings and context\",\n",
|
||||
" agent=researcher\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"writing_task = Task(\n",
|
||||
" name=\"WritingTask\",\n",
|
||||
" description=\"Write a final report based on research and planning\",\n",
|
||||
" expected_output=\"A coherent and professional report or response\",\n",
|
||||
" agent=writer\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "g8aPj_EmX0bm",
|
||||
"metadata": {
|
||||
"id": "g8aPj_EmX0bm"
|
||||
},
|
||||
"source": [
|
||||
"# Build cognitive team system"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "3JMauPEXXVhS",
|
||||
"metadata": {
|
||||
"id": "3JMauPEXXVhS"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"cognitive_team = PraisonAIAgents(\n",
|
||||
" agents=[planner, researcher, writer],\n",
|
||||
" tasks=[planning_task, research_task, writing_task],\n",
|
||||
" process=\"sequential\", # one task after another\n",
|
||||
" verbose=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "o1O0vQGyX32z",
|
||||
"metadata": {
|
||||
"id": "o1O0vQGyX32z"
|
||||
},
|
||||
"source": [
|
||||
"# Run the agent system"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "wusL6r6HXX0f",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"4a7945abafd844c299b71c77fcc340a0",
|
||||
"9b57ee1234734563bc35932ac9bfec18",
|
||||
"02a56f032fdd408d9fcf327d4e5d4bd3",
|
||||
"78733159c35941809466edd8f229f9f3"
|
||||
]
|
||||
},
|
||||
"id": "wusL6r6HXX0f",
|
||||
"outputId": "11bf9532-1bd1-40f3-db3d-cd35da2a512e"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
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|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
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|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #b4b4b3; text-decoration-color: #b4b4b3; font-weight: bold\">Role:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">Assistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
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||||
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"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
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||||
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|
||||
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|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
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|
||||
"metadata": {},
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||||
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||||
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|
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|
||||
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||||
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|
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|
||||
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|
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|
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|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[2mResponse generated in 1.6s\u001b[0m\n"
|
||||
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|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
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|
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Break down the request into subtasks. Expected Output: A list of clear, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> actionable substeps. Please provide only the final result of your work. Do not add any conversation or extra <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> explanation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
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|
||||
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|
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||||
"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m You need to do the following task: Break down the request into subtasks. Expected Output: A list of clear, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m actionable substeps. Please provide only the final result of your work. Do not add any conversation or extra \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m explanation. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Certainly! Please provide the task you need broken down into subtasks. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
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|
||||
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|
||||
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|
||||
"\u001b[36m│\u001b[0m Certainly! Please provide the task you need broken down into subtasks. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #ff9b9b; text-decoration-color: #ff9b9b; font-weight: bold\">👤 Agent:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">ResearchAgent</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #b4b4b3; text-decoration-color: #b4b4b3; font-weight: bold\">Role:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">Assistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
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||||
"</pre>\n"
|
||||
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|
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|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;255;155;155m👤 Agent:\u001b[0m \u001b[38;2;255;229;229mResearchAgent\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
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|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
|
||||
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|
||||
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|
||||
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|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
|
||||
"</pre>\n"
|
||||
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|
||||
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|
||||
"\n"
|
||||
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|
||||
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|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
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|
||||
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|
||||
"data": {
|
||||
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|
||||
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|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[2mResponse generated in 7.7s\u001b[0m\n"
|
||||
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|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
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|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Research background information on the topic. Expected Output: Summarized <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> findings and context. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Context: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Result of previous task PlanningTask: Certainly! Please provide the task you need broken down into subtasks. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Please provide only the final result of your work. Do not add any conversation or extra explanation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
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"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
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"\u001b[36m│\u001b[0m You need to do the following task: Research background information on the topic. Expected Output: Summarized \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m findings and context. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m Result of previous task PlanningTask: Certainly! Please provide the task you need broken down into subtasks. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m Please provide only the final result of your work. Do not add any conversation or extra explanation. \u001b[36m│\u001b[0m\n",
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"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
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"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Topic: Climate Change and Its Impact on Global Agriculture <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
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"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
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"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Overview of Climate Change</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Climate change refers to significant changes in global temperatures and weather patterns over time. While <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>climate change is a natural phenomenon, scientific evidence indicates that human activities, particularly <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>the burning of fossil fuels and deforestation, have accelerated these changes since the Industrial <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>Revolution. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Impact on Agriculture</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Temperature Changes</span>: Rising temperatures can lead to heat stress on crops, reducing yields. Some regions <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>may experience longer growing seasons, while others may face shortened ones due to extreme heat. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Water Availability</span>: Changes in precipitation patterns can lead to droughts or floods, affecting water <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>availability for irrigation. This can impact crop productivity and lead to water scarcity in some <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>regions. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Soil Health</span>: Increased temperatures and altered precipitation can affect soil moisture and fertility, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>leading to soil degradation and erosion. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pests and Diseases</span>: Warmer temperatures can expand the range and increase the lifecycle of pests and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>diseases, posing new challenges for crop protection. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Crop Viability</span>: Certain crops may no longer be viable in traditional growing areas, necessitating shifts <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>in agricultural practices and crop selection. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Regional Variability</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>The impact of climate change on agriculture varies by region. For example, temperate regions might <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>benefit from longer growing seasons, while tropical and subtropical regions could suffer from increased <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>heat and water stress. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Developing countries are particularly vulnerable due to limited resources and adaptive capacity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">Adaptation Strategies</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Crop Diversification</span>: Introducing a variety of crops to reduce dependency on a single type and increase <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>resilience to climate variability. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Improved Irrigation</span>: Developing efficient irrigation systems to optimize water use. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Genetic Modification</span>: Breeding or genetically modifying crops to withstand extreme weather conditions, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>pests, and diseases. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Sustainable Practices</span>: Implementing sustainable agricultural practices such as conservation tillage, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>agroforestry, and integrated pest management. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">Policy and Global Efforts</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>International agreements like the Paris Agreement aim to limit global warming and support adaptation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>efforts. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Governments and organizations are investing in research and development to create climate-resilient <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>agricultural systems. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 6 </span><span style=\"font-weight: bold\">Future Outlook</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Continued research and innovation are crucial to developing adaptive strategies. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Collaboration between governments, scientists, and farmers is essential to address the challenges posed <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>by climate change on agriculture. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> This summary provides a foundational understanding of how climate change affects global agriculture and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> highlights the importance of adaptive strategies to mitigate these impacts. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
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],
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"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
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"\u001b[36m│\u001b[0m Topic: Climate Change and Its Impact on Global Agriculture \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mOverview of Climate Change\u001b[0m: \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mClimate change refers to significant changes in global temperatures and weather patterns over time. While \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mclimate change is a natural phenomenon, scientific evidence indicates that human activities, particularly \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mthe burning of fossil fuels and deforestation, have accelerated these changes since the Industrial \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mRevolution. \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mImpact on Agriculture\u001b[0m: \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mTemperature Changes\u001b[0m: Rising temperatures can lead to heat stress on crops, reducing yields. Some regions \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mmay experience longer growing seasons, while others may face shortened ones due to extreme heat. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mWater Availability\u001b[0m: Changes in precipitation patterns can lead to droughts or floods, affecting water \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mavailability for irrigation. This can impact crop productivity and lead to water scarcity in some \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mregions. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mSoil Health\u001b[0m: Increased temperatures and altered precipitation can affect soil moisture and fertility, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mleading to soil degradation and erosion. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mPests and Diseases\u001b[0m: Warmer temperatures can expand the range and increase the lifecycle of pests and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mdiseases, posing new challenges for crop protection. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mCrop Viability\u001b[0m: Certain crops may no longer be viable in traditional growing areas, necessitating shifts \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0min agricultural practices and crop selection. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mRegional Variability\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThe impact of climate change on agriculture varies by region. For example, temperate regions might \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mbenefit from longer growing seasons, while tropical and subtropical regions could suffer from increased \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mheat and water stress. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mDeveloping countries are particularly vulnerable due to limited resources and adaptive capacity. \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mAdaptation Strategies\u001b[0m: \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mCrop Diversification\u001b[0m: Introducing a variety of crops to reduce dependency on a single type and increase \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mresilience to climate variability. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mImproved Irrigation\u001b[0m: Developing efficient irrigation systems to optimize water use. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mGenetic Modification\u001b[0m: Breeding or genetically modifying crops to withstand extreme weather conditions, \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mpests, and diseases. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mSustainable Practices\u001b[0m: Implementing sustainable agricultural practices such as conservation tillage, \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0magroforestry, and integrated pest management. \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mPolicy and Global Efforts\u001b[0m: \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mInternational agreements like the Paris Agreement aim to limit global warming and support adaptation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mefforts. \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGovernments and organizations are investing in research and development to create climate-resilient \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0magricultural systems. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mFuture Outlook\u001b[0m: \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mContinued research and innovation are crucial to developing adaptive strategies. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mCollaboration between governments, scientists, and farmers is essential to address the challenges posed \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mby climate change on agriculture. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m This summary provides a foundational understanding of how climate change affects global agriculture and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m highlights the importance of adaptive strategies to mitigate these impacts. \u001b[36m│\u001b[0m\n",
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Write a final report based on research and planning. Expected Output: A <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> coherent and professional report or response. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
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"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Context: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Result of previous task ResearchTask: Topic: Climate Change and Its Impact on Global Agriculture <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Overview of Climate Change</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Climate change refers to significant changes in global temperatures and weather patterns over time. While <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>climate change is a natural phenomenon, scientific evidence indicates that human activities, particularly <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>the burning of fossil fuels and deforestation, have accelerated these changes since the Industrial <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>Revolution. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Impact on Agriculture</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Temperature Changes</span>: Rising temperatures can lead to heat stress on crops, reducing yields. Some regions <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>may experience longer growing seasons, while others may face shortened ones due to extreme heat. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Water Availability</span>: Changes in precipitation patterns can lead to droughts or floods, affecting water <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>availability for irrigation. This can impact crop productivity and lead to water scarcity in some <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>regions. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Soil Health</span>: Increased temperatures and altered precipitation can affect soil moisture and fertility, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>leading to soil degradation and erosion. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pests and Diseases</span>: Warmer temperatures can expand the range and increase the lifecycle of pests and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>diseases, posing new challenges for crop protection. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Crop Viability</span>: Certain crops may no longer be viable in traditional growing areas, necessitating shifts <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>in agricultural practices and crop selection. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Regional Variability</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>The impact of climate change on agriculture varies by region. For example, temperate regions might <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>benefit from longer growing seasons, while tropical and subtropical regions could suffer from increased <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>heat and water stress. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Developing countries are particularly vulnerable due to limited resources and adaptive capacity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">Adaptation Strategies</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Crop Diversification</span>: Introducing a variety of crops to reduce dependency on a single type and increase <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>resilience to climate variability. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Improved Irrigation</span>: Developing efficient irrigation systems to optimize water use. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Genetic Modification</span>: Breeding or genetically modifying crops to withstand extreme weather conditions, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>pests, and diseases. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Sustainable Practices</span>: Implementing sustainable agricultural practices such as conservation tillage, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>agroforestry, and integrated pest management. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">Policy and Global Efforts</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>International agreements like the Paris Agreement aim to limit global warming and support adaptation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>efforts. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Governments and organizations are investing in research and development to create climate-resilient <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>agricultural systems. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 6 </span><span style=\"font-weight: bold\">Future Outlook</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Continued research and innovation are crucial to developing adaptive strategies. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Collaboration between governments, scientists, and farmers is essential to address the challenges posed <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>by climate change on agriculture. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> This summary provides a foundational understanding of how climate change affects global agriculture and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> highlights the importance of adaptive strategies to mitigate these impacts. Please provide only the final <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> result of your work. Do not add any conversation or extra explanation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
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"text/plain": [
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"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m You need to do the following task: Write a final report based on research and planning. Expected Output: A \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m coherent and professional report or response. \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m Context: \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Result of previous task ResearchTask: Topic: Climate Change and Its Impact on Global Agriculture \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mOverview of Climate Change\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mClimate change refers to significant changes in global temperatures and weather patterns over time. While \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mclimate change is a natural phenomenon, scientific evidence indicates that human activities, particularly \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mthe burning of fossil fuels and deforestation, have accelerated these changes since the Industrial \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mRevolution. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mImpact on Agriculture\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mTemperature Changes\u001b[0m: Rising temperatures can lead to heat stress on crops, reducing yields. Some regions \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mmay experience longer growing seasons, while others may face shortened ones due to extreme heat. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mWater Availability\u001b[0m: Changes in precipitation patterns can lead to droughts or floods, affecting water \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mavailability for irrigation. This can impact crop productivity and lead to water scarcity in some \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mregions. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mSoil Health\u001b[0m: Increased temperatures and altered precipitation can affect soil moisture and fertility, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mleading to soil degradation and erosion. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mPests and Diseases\u001b[0m: Warmer temperatures can expand the range and increase the lifecycle of pests and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mdiseases, posing new challenges for crop protection. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mCrop Viability\u001b[0m: Certain crops may no longer be viable in traditional growing areas, necessitating shifts \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0min agricultural practices and crop selection. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mRegional Variability\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThe impact of climate change on agriculture varies by region. For example, temperate regions might \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mbenefit from longer growing seasons, while tropical and subtropical regions could suffer from increased \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mheat and water stress. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mDeveloping countries are particularly vulnerable due to limited resources and adaptive capacity. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mAdaptation Strategies\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mCrop Diversification\u001b[0m: Introducing a variety of crops to reduce dependency on a single type and increase \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mresilience to climate variability. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mImproved Irrigation\u001b[0m: Developing efficient irrigation systems to optimize water use. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mGenetic Modification\u001b[0m: Breeding or genetically modifying crops to withstand extreme weather conditions, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mpests, and diseases. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0m\u001b[1mSustainable Practices\u001b[0m: Implementing sustainable agricultural practices such as conservation tillage, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0magroforestry, and integrated pest management. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mPolicy and Global Efforts\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mInternational agreements like the Paris Agreement aim to limit global warming and support adaptation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mefforts. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGovernments and organizations are investing in research and development to create climate-resilient \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0magricultural systems. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mFuture Outlook\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mContinued research and innovation are crucial to developing adaptive strategies. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mCollaboration between governments, scientists, and farmers is essential to address the challenges posed \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mby climate change on agriculture. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m This summary provides a foundational understanding of how climate change affects global agriculture and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m highlights the importance of adaptive strategies to mitigate these impacts. Please provide only the final \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m result of your work. Do not add any conversation or extra explanation. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Final Report: Climate Change and Its Impact on Global Agriculture</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Introduction</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Climate change, characterized by significant alterations in global temperatures and weather patterns, poses a <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> profound threat to global agriculture. While naturally occurring, the acceleration of climate change due to <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> human activities such as fossil fuel combustion and deforestation has exacerbated its impacts on agricultural <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> systems worldwide. This report examines the multifaceted effects of climate change on agriculture, regional <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> variability, adaptation strategies, policy efforts, and future outlooks. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Impact on Agriculture</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Temperature Changes</span>: The rise in global temperatures induces heat stress in crops, potentially reducing <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>yields. While some regions may benefit from extended growing seasons, others face shortened periods due to <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>extreme heat, adversely affecting crop productivity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Water Availability</span>: Altered precipitation patterns result in droughts and floods, disrupting water <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>availability for irrigation. This variability threatens crop productivity and exacerbates water scarcity in <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>vulnerable regions. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Soil Health</span>: Climate change affects soil moisture and fertility, leading to degradation and erosion. These <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>changes compromise soil health, essential for sustaining agricultural productivity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">Pests and Diseases</span>: Warmer climates expand the range and lifecycle of pests and diseases, presenting new <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>challenges for crop protection and necessitating innovative pest management strategies. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">Crop Viability</span>: Traditional growing areas may no longer support certain crops, prompting shifts in <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>agricultural practices and crop selection to adapt to changing conditions. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Regional Variability</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> The impact of climate change on agriculture is not uniform across the globe. Temperate regions might experience <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> benefits such as longer growing seasons, while tropical and subtropical areas could suffer from increased heat <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> and water stress. Developing countries, with limited resources and adaptive capacity, are particularly <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> vulnerable to these changes. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Adaptation Strategies</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Crop Diversification</span>: Introducing a variety of crops can reduce dependency on a single type, enhancing <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>resilience to climate variability. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Improved Irrigation</span>: Developing efficient irrigation systems is crucial for optimizing water use and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>ensuring crop survival during periods of water scarcity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Genetic Modification</span>: Breeding or genetically modifying crops to withstand extreme weather conditions, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>pests, and diseases is a promising adaptation strategy. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">Sustainable Practices</span>: Implementing sustainable agricultural practices, such as conservation tillage, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>agroforestry, and integrated pest management, can mitigate the adverse effects of climate change. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Policy and Global Efforts</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> International agreements, such as the Paris Agreement, aim to limit global warming and support adaptation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> efforts. Governments and organizations are investing in research and development to create climate-resilient <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> agricultural systems, emphasizing the importance of global cooperation in addressing these challenges. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Future Outlook</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Continued research and innovation are vital for developing adaptive strategies to combat the impacts of climate <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> change on agriculture. Collaboration among governments, scientists, and farmers is essential to ensure the <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> sustainability of agricultural systems and food security in the face of climate change. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Conclusion</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Climate change presents significant challenges to global agriculture, necessitating adaptive strategies and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> international cooperation. By understanding the impacts and implementing effective adaptation measures, the <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> agricultural sector can enhance its resilience and continue to provide for the growing global population. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mFinal Report: Climate Change and Its Impact on Global Agriculture\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mIntroduction\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Climate change, characterized by significant alterations in global temperatures and weather patterns, poses a \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m profound threat to global agriculture. While naturally occurring, the acceleration of climate change due to \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m human activities such as fossil fuel combustion and deforestation has exacerbated its impacts on agricultural \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m systems worldwide. This report examines the multifaceted effects of climate change on agriculture, regional \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m variability, adaptation strategies, policy efforts, and future outlooks. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mImpact on Agriculture\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mTemperature Changes\u001b[0m: The rise in global temperatures induces heat stress in crops, potentially reducing \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0myields. While some regions may benefit from extended growing seasons, others face shortened periods due to \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mextreme heat, adversely affecting crop productivity. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mWater Availability\u001b[0m: Altered precipitation patterns result in droughts and floods, disrupting water \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mavailability for irrigation. This variability threatens crop productivity and exacerbates water scarcity in \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mvulnerable regions. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mSoil Health\u001b[0m: Climate change affects soil moisture and fertility, leading to degradation and erosion. These \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mchanges compromise soil health, essential for sustaining agricultural productivity. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mPests and Diseases\u001b[0m: Warmer climates expand the range and lifecycle of pests and diseases, presenting new \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mchallenges for crop protection and necessitating innovative pest management strategies. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mCrop Viability\u001b[0m: Traditional growing areas may no longer support certain crops, prompting shifts in \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0magricultural practices and crop selection to adapt to changing conditions. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mRegional Variability\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m The impact of climate change on agriculture is not uniform across the globe. Temperate regions might experience \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m benefits such as longer growing seasons, while tropical and subtropical areas could suffer from increased heat \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m and water stress. Developing countries, with limited resources and adaptive capacity, are particularly \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m vulnerable to these changes. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mAdaptation Strategies\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mCrop Diversification\u001b[0m: Introducing a variety of crops can reduce dependency on a single type, enhancing \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mresilience to climate variability. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mImproved Irrigation\u001b[0m: Developing efficient irrigation systems is crucial for optimizing water use and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mensuring crop survival during periods of water scarcity. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mGenetic Modification\u001b[0m: Breeding or genetically modifying crops to withstand extreme weather conditions, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mpests, and diseases is a promising adaptation strategy. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mSustainable Practices\u001b[0m: Implementing sustainable agricultural practices, such as conservation tillage, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0magroforestry, and integrated pest management, can mitigate the adverse effects of climate change. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mPolicy and Global Efforts\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m International agreements, such as the Paris Agreement, aim to limit global warming and support adaptation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m efforts. Governments and organizations are investing in research and development to create climate-resilient \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m agricultural systems, emphasizing the importance of global cooperation in addressing these challenges. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mFuture Outlook\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Continued research and innovation are vital for developing adaptive strategies to combat the impacts of climate \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m change on agriculture. Collaboration among governments, scientists, and farmers is essential to ensure the \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m sustainability of agricultural systems and food security in the face of climate change. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mConclusion\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Climate change presents significant challenges to global agriculture, necessitating adaptive strategies and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m international cooperation. By understanding the impacts and implementing effective adaptation measures, the \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m agricultural sector can enhance its resilience and continue to provide for the growing global population. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🧠 Final Output:\n",
|
||||
" **Final Report: Climate Change and Its Impact on Global Agriculture**\n",
|
||||
"\n",
|
||||
"**Introduction**\n",
|
||||
"\n",
|
||||
"Climate change, characterized by significant alterations in global temperatures and weather patterns, poses a profound threat to global agriculture. While naturally occurring, the acceleration of climate change due to human activities such as fossil fuel combustion and deforestation has exacerbated its impacts on agricultural systems worldwide. This report examines the multifaceted effects of climate change on agriculture, regional variability, adaptation strategies, policy efforts, and future outlooks.\n",
|
||||
"\n",
|
||||
"**Impact on Agriculture**\n",
|
||||
"\n",
|
||||
"1. **Temperature Changes**: The rise in global temperatures induces heat stress in crops, potentially reducing yields. While some regions may benefit from extended growing seasons, others face shortened periods due to extreme heat, adversely affecting crop productivity.\n",
|
||||
"\n",
|
||||
"2. **Water Availability**: Altered precipitation patterns result in droughts and floods, disrupting water availability for irrigation. This variability threatens crop productivity and exacerbates water scarcity in vulnerable regions.\n",
|
||||
"\n",
|
||||
"3. **Soil Health**: Climate change affects soil moisture and fertility, leading to degradation and erosion. These changes compromise soil health, essential for sustaining agricultural productivity.\n",
|
||||
"\n",
|
||||
"4. **Pests and Diseases**: Warmer climates expand the range and lifecycle of pests and diseases, presenting new challenges for crop protection and necessitating innovative pest management strategies.\n",
|
||||
"\n",
|
||||
"5. **Crop Viability**: Traditional growing areas may no longer support certain crops, prompting shifts in agricultural practices and crop selection to adapt to changing conditions.\n",
|
||||
"\n",
|
||||
"**Regional Variability**\n",
|
||||
"\n",
|
||||
"The impact of climate change on agriculture is not uniform across the globe. Temperate regions might experience benefits such as longer growing seasons, while tropical and subtropical areas could suffer from increased heat and water stress. Developing countries, with limited resources and adaptive capacity, are particularly vulnerable to these changes.\n",
|
||||
"\n",
|
||||
"**Adaptation Strategies**\n",
|
||||
"\n",
|
||||
"1. **Crop Diversification**: Introducing a variety of crops can reduce dependency on a single type, enhancing resilience to climate variability.\n",
|
||||
"\n",
|
||||
"2. **Improved Irrigation**: Developing efficient irrigation systems is crucial for optimizing water use and ensuring crop survival during periods of water scarcity.\n",
|
||||
"\n",
|
||||
"3. **Genetic Modification**: Breeding or genetically modifying crops to withstand extreme weather conditions, pests, and diseases is a promising adaptation strategy.\n",
|
||||
"\n",
|
||||
"4. **Sustainable Practices**: Implementing sustainable agricultural practices, such as conservation tillage, agroforestry, and integrated pest management, can mitigate the adverse effects of climate change.\n",
|
||||
"\n",
|
||||
"**Policy and Global Efforts**\n",
|
||||
"\n",
|
||||
"International agreements, such as the Paris Agreement, aim to limit global warming and support adaptation efforts. Governments and organizations are investing in research and development to create climate-resilient agricultural systems, emphasizing the importance of global cooperation in addressing these challenges.\n",
|
||||
"\n",
|
||||
"**Future Outlook**\n",
|
||||
"\n",
|
||||
"Continued research and innovation are vital for developing adaptive strategies to combat the impacts of climate change on agriculture. Collaboration among governments, scientists, and farmers is essential to ensure the sustainability of agricultural systems and food security in the face of climate change.\n",
|
||||
"\n",
|
||||
"**Conclusion**\n",
|
||||
"\n",
|
||||
"Climate change presents significant challenges to global agriculture, necessitating adaptive strategies and international cooperation. By understanding the impacts and implementing effective adaptation measures, the agricultural sector can enhance its resilience and continue to provide for the growing global population.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"input_query = \"Create a strategy for launching an eco-friendly clothing brand online.\"\n",
|
||||
"output = cognitive_team.start(input=input_query)\n",
|
||||
"\n",
|
||||
"# 📄 Show the output\n",
|
||||
"print(\"🧠 Final Output:\\n\", output)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,570 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "c1e38932",
|
||||
"metadata": {
|
||||
"id": "c1e38932"
|
||||
},
|
||||
"source": [
|
||||
"# Crypto Research Agent: Intelligence Agent\n",
|
||||
"\n",
|
||||
"Provides in-depth intelligence on cryptocurrencies and blockchain trends."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "AEOWA14-doQb",
|
||||
"metadata": {
|
||||
"id": "AEOWA14-doQb"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Crypto_Research_Agent_Intelligence_Agent.ipynb)\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "BY5w8KLtdNrW",
|
||||
"metadata": {
|
||||
"id": "BY5w8KLtdNrW"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "9a818525",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "9a818525",
|
||||
"outputId": "e7efcca2-e557-4f7b-df9e-aca4819b0f36"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/3.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.3/3.3 MB\u001b[0m \u001b[31m8.5 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━\u001b[0m \u001b[32m2.3/3.3 MB\u001b[0m \u001b[31m35.3 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m33.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install -q praisonaiagents openai duckduckgo_search"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "AYjc8JUddT_D",
|
||||
"metadata": {
|
||||
"id": "AYjc8JUddT_D"
|
||||
},
|
||||
"source": [
|
||||
"# set OpenAI API key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "88607f1c",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "88607f1c",
|
||||
"outputId": "c2165b61-d633-467a-9ed7-5470619872b3"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Enter your OpenAI API key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"# 🔑 Prompt user to input API Key securely\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter your OpenAI API key: \")\n",
|
||||
"import openai\n",
|
||||
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "AdXjFQqfdYgM",
|
||||
"metadata": {
|
||||
"id": "AdXjFQqfdYgM"
|
||||
},
|
||||
"source": [
|
||||
"# Import PraisonAI Agent tools"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "d4e08a56",
|
||||
"metadata": {
|
||||
"id": "d4e08a56"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent, Task, PraisonAIAgents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "FdIqAryqdcpx",
|
||||
"metadata": {
|
||||
"id": "FdIqAryqdcpx"
|
||||
},
|
||||
"source": [
|
||||
"# YAML Prompt to guide the agent's behavior"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "14b09931",
|
||||
"metadata": {
|
||||
"id": "14b09931"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yaml_prompt = \"\"\"\n",
|
||||
"name: CryptoResearcherAgent\n",
|
||||
"role: Cryptocurrency Intelligence Agent\n",
|
||||
"goal: Provide accurate, timely, and insightful research on cryptocurrency projects, trends, and risks.\n",
|
||||
"backstory: You are a professional crypto analyst, skilled in assessing coins, tokens, and DeFi protocols using web research and market trends.\n",
|
||||
"skills:\n",
|
||||
" - Analyze tokenomics and utility\n",
|
||||
" - Evaluate risk factors\n",
|
||||
" - Identify scams or red flags\n",
|
||||
" - Summarize project fundamentals\n",
|
||||
"llm: gpt-4o\n",
|
||||
"verbosity: true\n",
|
||||
"format: markdown\n",
|
||||
"\"\"\"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "at0Avm1Jdj8e",
|
||||
"metadata": {
|
||||
"id": "at0Avm1Jdj8e"
|
||||
},
|
||||
"source": [
|
||||
"# Main"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "427a4c33",
|
||||
"metadata": {
|
||||
"id": "427a4c33"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"crypto_agent = Agent(\n",
|
||||
" name=\"CryptoResearcherAgent\",\n",
|
||||
" instructions=\"\"\"\n",
|
||||
"You are a cryptocurrency intelligence agent. Use your analytical skills to evaluate coins, blockchain protocols, tokenomics,\n",
|
||||
"and market trends. Provide critical insight into legitimacy, potential growth, and associated risks.\n",
|
||||
"Use markdown formatting and structure your research clearly.\n",
|
||||
"\"\"\",\n",
|
||||
" llm=\"gpt-4o\",\n",
|
||||
" verbose=True,\n",
|
||||
" markdown=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "WjtlKYqjdCNe",
|
||||
"metadata": {
|
||||
"id": "WjtlKYqjdCNe"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"crypto_task = Task(\n",
|
||||
" name=\"CryptoResearchTask\",\n",
|
||||
" description=\"Research and summarize the fundamentals, risks, and potential of the 'Render Token (RNDR)'\",\n",
|
||||
" expected_output=\"A detailed markdown report covering utility, tokenomics, risks, growth outlook, and red flags.\",\n",
|
||||
" agent=crypto_agent\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "MxqIDnRQdETe",
|
||||
"metadata": {
|
||||
"id": "MxqIDnRQdETe"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"crypto_team = PraisonAIAgents(\n",
|
||||
" agents=[crypto_agent],\n",
|
||||
" tasks=[crypto_task],\n",
|
||||
" process=\"sequential\",\n",
|
||||
" verbose=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "hAs8UHnYdhsE",
|
||||
"metadata": {
|
||||
"id": "hAs8UHnYdhsE"
|
||||
},
|
||||
"source": [
|
||||
"# Query the agent with a specific token or trend"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "236n5O9mdHQY",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"70fae1edbacb4b3592d5aab39d96c41d",
|
||||
"1cfd76f73f0a44989fdcfd0b3cb2c12d"
|
||||
]
|
||||
},
|
||||
"id": "236n5O9mdHQY",
|
||||
"outputId": "d519c155-03d0-4610-dfe3-b22855a260d4"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #ff9b9b; text-decoration-color: #ff9b9b; font-weight: bold\">👤 Agent:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">CryptoResearcherAgent</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #b4b4b3; text-decoration-color: #b4b4b3; font-weight: bold\">Role:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">Assistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[38;2;210;227;200m╭─\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[1;38;2;210;227;200mAgent Info\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[38;2;210;227;200m───────────────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;210;227;200m─╮\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;255;155;155m👤 Agent:\u001b[0m \u001b[38;2;255;229;229mCryptoResearcherAgent\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "70fae1edbacb4b3592d5aab39d96c41d",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
|
||||
],
|
||||
"text/plain": []
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">Response generated in 9.7s</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[2mResponse generated in 9.7s\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Research and summarize the fundamentals, risks, and potential of the 'Render <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Token (RNDR)'. Expected Output: A detailed markdown report covering utility, tokenomics, risks, growth outlook, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> and red flags.. Please provide only the final result of your work. Do not add any conversation or extra <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> explanation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m You need to do the following task: Research and summarize the fundamentals, risks, and potential of the 'Render \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Token (RNDR)'. Expected Output: A detailed markdown report covering utility, tokenomics, risks, growth outlook, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m and red flags.. Please provide only the final result of your work. Do not add any conversation or extra \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m explanation. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
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|
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|
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┃ <span style=\"font-weight: bold\">Render Token (RNDR) Analysis</span> ┃ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Overview</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Render Token (RNDR) is a utility token used within the Render Network, a decentralized GPU rendering network <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> built on the Ethereum blockchain. It aims to connect users in need of rendering power with those who have idle <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> GPUs to spare, facilitating a marketplace for rendering services. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Utility</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Rendering Services</span>: RNDR is primarily used to pay for rendering services on the Render Network. Users submit <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>rendering jobs and pay in RNDR tokens, while node operators (those providing GPU power) earn RNDR for <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>completing these tasks. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Decentralized Network</span>: By leveraging idle GPU resources globally, Render Network offers a decentralized <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>alternative to traditional cloud rendering services, potentially reducing costs and increasing efficiency. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Blockchain Integration</span>: The use of blockchain ensures transparency, security, and immutability of <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>transactions within the network. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Tokenomics</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Supply</span>: RNDR has a capped supply, which can create scarcity and potentially drive value as demand for <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>rendering services increases. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Distribution</span>: Tokens are distributed to node operators as compensation for rendering services, incentivizing <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>participation in the network. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Staking</span>: Node operators may need to stake RNDR tokens as a form of security deposit, aligning their <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>interests with the network's integrity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Risks</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Market Competition</span>: Render Network faces competition from established cloud rendering services like AWS and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>Google Cloud, which have significant resources and market presence. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Adoption and Demand</span>: The success of RNDR is heavily reliant on the adoption of the Render Network. If the <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>network fails to attract a substantial user base, demand for RNDR could stagnate. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Regulatory Risks</span>: As with many cryptocurrencies, RNDR is subject to regulatory scrutiny which could impact <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>its utility and marketability. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Technical Challenges</span>: Ensuring the network's reliability and security is crucial. Any technical failures <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>could undermine trust and deter users. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Growth Outlook</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Increasing Demand for Rendering</span>: As industries like gaming, film, and virtual reality continue to grow, the <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>demand for rendering services is expected to rise, potentially benefiting RNDR. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Partnerships and Integrations</span>: Strategic partnerships with industry players could enhance the network's <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>credibility and expand its user base. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Technological Advancements</span>: Improvements in blockchain technology and GPU capabilities could enhance the <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>efficiency and appeal of the Render Network. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Red Flags</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Centralization Concerns</span>: While the network is decentralized, the initial distribution and control of tokens <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>could raise concerns about centralization. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Volatility</span>: Like many cryptocurrencies, RNDR is subject to high market volatility, which could affect its <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>stability as a utility token. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Dependency on Ethereum</span>: As an ERC-20 token, RNDR's performance is tied to the Ethereum network, including <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>its scalability and transaction costs. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Conclusion</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Render Token (RNDR) presents a promising solution for decentralized rendering services, leveraging blockchain <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> technology to create a marketplace for GPU power. While it has potential for growth, particularly with <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> increasing demand for rendering, it faces significant risks from competition, adoption challenges, and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> regulatory scrutiny. Investors and users should weigh these factors carefully when considering involvement with <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> RNDR. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
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"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
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"\u001b[36m│\u001b[0m ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m ┃ \u001b[1mRender Token (RNDR) Analysis\u001b[0m ┃ \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;4mOverview\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Render Token (RNDR) is a utility token used within the Render Network, a decentralized GPU rendering network \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m built on the Ethereum blockchain. It aims to connect users in need of rendering power with those who have idle \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m GPUs to spare, facilitating a marketplace for rendering services. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mUtility\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mRendering Services\u001b[0m: RNDR is primarily used to pay for rendering services on the Render Network. Users submit \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mrendering jobs and pay in RNDR tokens, while node operators (those providing GPU power) earn RNDR for \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mcompleting these tasks. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mDecentralized Network\u001b[0m: By leveraging idle GPU resources globally, Render Network offers a decentralized \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0malternative to traditional cloud rendering services, potentially reducing costs and increasing efficiency. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mBlockchain Integration\u001b[0m: The use of blockchain ensures transparency, security, and immutability of \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mtransactions within the network. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mTokenomics\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mSupply\u001b[0m: RNDR has a capped supply, which can create scarcity and potentially drive value as demand for \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mrendering services increases. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mDistribution\u001b[0m: Tokens are distributed to node operators as compensation for rendering services, incentivizing \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mparticipation in the network. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mStaking\u001b[0m: Node operators may need to stake RNDR tokens as a form of security deposit, aligning their \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0minterests with the network's integrity. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mRisks\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mMarket Competition\u001b[0m: Render Network faces competition from established cloud rendering services like AWS and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mGoogle Cloud, which have significant resources and market presence. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAdoption and Demand\u001b[0m: The success of RNDR is heavily reliant on the adoption of the Render Network. If the \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mnetwork fails to attract a substantial user base, demand for RNDR could stagnate. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mRegulatory Risks\u001b[0m: As with many cryptocurrencies, RNDR is subject to regulatory scrutiny which could impact \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mits utility and marketability. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mTechnical Challenges\u001b[0m: Ensuring the network's reliability and security is crucial. Any technical failures \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mcould undermine trust and deter users. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mGrowth Outlook\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mIncreasing Demand for Rendering\u001b[0m: As industries like gaming, film, and virtual reality continue to grow, the \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mdemand for rendering services is expected to rise, potentially benefiting RNDR. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPartnerships and Integrations\u001b[0m: Strategic partnerships with industry players could enhance the network's \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mcredibility and expand its user base. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mTechnological Advancements\u001b[0m: Improvements in blockchain technology and GPU capabilities could enhance the \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mefficiency and appeal of the Render Network. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mRed Flags\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCentralization Concerns\u001b[0m: While the network is decentralized, the initial distribution and control of tokens \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mcould raise concerns about centralization. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mVolatility\u001b[0m: Like many cryptocurrencies, RNDR is subject to high market volatility, which could affect its \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mstability as a utility token. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mDependency on Ethereum\u001b[0m: As an ERC-20 token, RNDR's performance is tied to the Ethereum network, including \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mits scalability and transaction costs. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mConclusion\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Render Token (RNDR) presents a promising solution for decentralized rendering services, leveraging blockchain \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m technology to create a marketplace for GPU power. While it has potential for growth, particularly with \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m increasing demand for rendering, it faces significant risks from competition, adoption challenges, and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m regulatory scrutiny. Investors and users should weigh these factors carefully when considering involvement with \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m RNDR. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🪙 Crypto Research Report:\n",
|
||||
" # Render Token (RNDR) Analysis\n",
|
||||
"\n",
|
||||
"## Overview\n",
|
||||
"Render Token (RNDR) is a utility token used within the Render Network, a decentralized GPU rendering network built on the Ethereum blockchain. It aims to connect users in need of rendering power with those who have idle GPUs to spare, facilitating a marketplace for rendering services.\n",
|
||||
"\n",
|
||||
"## Utility\n",
|
||||
"- **Rendering Services**: RNDR is primarily used to pay for rendering services on the Render Network. Users submit rendering jobs and pay in RNDR tokens, while node operators (those providing GPU power) earn RNDR for completing these tasks.\n",
|
||||
"- **Decentralized Network**: By leveraging idle GPU resources globally, Render Network offers a decentralized alternative to traditional cloud rendering services, potentially reducing costs and increasing efficiency.\n",
|
||||
"- **Blockchain Integration**: The use of blockchain ensures transparency, security, and immutability of transactions within the network.\n",
|
||||
"\n",
|
||||
"## Tokenomics\n",
|
||||
"- **Supply**: RNDR has a capped supply, which can create scarcity and potentially drive value as demand for rendering services increases.\n",
|
||||
"- **Distribution**: Tokens are distributed to node operators as compensation for rendering services, incentivizing participation in the network.\n",
|
||||
"- **Staking**: Node operators may need to stake RNDR tokens as a form of security deposit, aligning their interests with the network's integrity.\n",
|
||||
"\n",
|
||||
"## Risks\n",
|
||||
"- **Market Competition**: Render Network faces competition from established cloud rendering services like AWS and Google Cloud, which have significant resources and market presence.\n",
|
||||
"- **Adoption and Demand**: The success of RNDR is heavily reliant on the adoption of the Render Network. If the network fails to attract a substantial user base, demand for RNDR could stagnate.\n",
|
||||
"- **Regulatory Risks**: As with many cryptocurrencies, RNDR is subject to regulatory scrutiny which could impact its utility and marketability.\n",
|
||||
"- **Technical Challenges**: Ensuring the network's reliability and security is crucial. Any technical failures could undermine trust and deter users.\n",
|
||||
"\n",
|
||||
"## Growth Outlook\n",
|
||||
"- **Increasing Demand for Rendering**: As industries like gaming, film, and virtual reality continue to grow, the demand for rendering services is expected to rise, potentially benefiting RNDR.\n",
|
||||
"- **Partnerships and Integrations**: Strategic partnerships with industry players could enhance the network's credibility and expand its user base.\n",
|
||||
"- **Technological Advancements**: Improvements in blockchain technology and GPU capabilities could enhance the efficiency and appeal of the Render Network.\n",
|
||||
"\n",
|
||||
"## Red Flags\n",
|
||||
"- **Centralization Concerns**: While the network is decentralized, the initial distribution and control of tokens could raise concerns about centralization.\n",
|
||||
"- **Volatility**: Like many cryptocurrencies, RNDR is subject to high market volatility, which could affect its stability as a utility token.\n",
|
||||
"- **Dependency on Ethereum**: As an ERC-20 token, RNDR's performance is tied to the Ethereum network, including its scalability and transaction costs.\n",
|
||||
"\n",
|
||||
"## Conclusion\n",
|
||||
"Render Token (RNDR) presents a promising solution for decentralized rendering services, leveraging blockchain technology to create a marketplace for GPU power. While it has potential for growth, particularly with increasing demand for rendering, it faces significant risks from competition, adoption challenges, and regulatory scrutiny. Investors and users should weigh these factors carefully when considering involvement with RNDR.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"query = \"Research Render Token (RNDR), its tokenomics, risks, and growth potential.\"\n",
|
||||
"output = crypto_team.start(input=query)\n",
|
||||
"\n",
|
||||
"# 📄 Output the result\n",
|
||||
"print(\"🪙 Crypto Research Report:\\n\", output)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,558 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "e722180e",
|
||||
"metadata": {
|
||||
"id": "e722180e"
|
||||
},
|
||||
"source": [
|
||||
"# E-commerce Shopping Assistant\n",
|
||||
"\n",
|
||||
"Helps users discover, compare, and decide on product purchases online."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "vcl39flucPf5",
|
||||
"metadata": {
|
||||
"id": "vcl39flucPf5"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/E_commerce_Shopping_Assistant.ipynb)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "fPf-zKw9b2s2",
|
||||
"metadata": {
|
||||
"id": "fPf-zKw9b2s2"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "f6e9a03f",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "f6e9a03f",
|
||||
"outputId": "55cd3cef-266d-4e53-edde-4ceab0b456cd"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/3.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.3/3.3 MB\u001b[0m \u001b[31m9.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m2.4/3.3 MB\u001b[0m \u001b[31m35.1 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m32.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install -q praisonaiagents openai duckduckgo_search"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "ryXTdYdRb6l7",
|
||||
"metadata": {
|
||||
"id": "ryXTdYdRb6l7"
|
||||
},
|
||||
"source": [
|
||||
"# set OpenAI API key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "a91f87c8",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "a91f87c8",
|
||||
"outputId": "25405986-1ac7-4002-f0ab-76a312e2b3f8"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Enter your OpenAI API key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter your OpenAI API key: \")\n",
|
||||
"import openai\n",
|
||||
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "0OW7ml8HcAnh",
|
||||
"metadata": {
|
||||
"id": "0OW7ml8HcAnh"
|
||||
},
|
||||
"source": [
|
||||
"# Import PraisonAI Agent tools"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "3c1fdf11",
|
||||
"metadata": {
|
||||
"id": "3c1fdf11"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent, Task, PraisonAIAgents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "Z0rtEk9VcDvt",
|
||||
"metadata": {
|
||||
"id": "Z0rtEk9VcDvt"
|
||||
},
|
||||
"source": [
|
||||
"# Define the Shopping Assistant Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "71731420",
|
||||
"metadata": {
|
||||
"id": "71731420"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"shopping_assistant = Agent(\n",
|
||||
" name=\"EcommerceShoppingAgent\",\n",
|
||||
" instructions=(\n",
|
||||
" \"You are a smart e-commerce shopping assistant. \"\n",
|
||||
" \"Your goal is to help users find the best product deals, recommend items, and compare features from online sources. \"\n",
|
||||
" \"Use research and product comparison strategies.\"\n",
|
||||
" ),\n",
|
||||
" verbose=True,\n",
|
||||
" markdown=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "jipAX79fcHXy",
|
||||
"metadata": {
|
||||
"id": "jipAX79fcHXy"
|
||||
},
|
||||
"source": [
|
||||
"# Define a Task for Shopping Assistant"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "9b55dbe3",
|
||||
"metadata": {
|
||||
"id": "9b55dbe3"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"shopping_task = Task(\n",
|
||||
" name=\"FindProductDeals\",\n",
|
||||
" description=\"Find the best deals and compare features for the latest wireless earbuds under $100\",\n",
|
||||
" expected_output=\"A list of recommended wireless earbuds under $100 with pros, cons, and prices\",\n",
|
||||
" agent=shopping_assistant\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "6lKHyYwycKXr",
|
||||
"metadata": {
|
||||
"id": "6lKHyYwycKXr"
|
||||
},
|
||||
"source": [
|
||||
"# Create the Assistant System"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "zEpJ7IkFbvKW",
|
||||
"metadata": {
|
||||
"id": "zEpJ7IkFbvKW"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"assistant_system = PraisonAIAgents(\n",
|
||||
" agents=[shopping_assistant],\n",
|
||||
" tasks=[shopping_task],\n",
|
||||
" process=\"sequential\",\n",
|
||||
" verbose=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "yuTZ2fWpcNI8",
|
||||
"metadata": {
|
||||
"id": "yuTZ2fWpcNI8"
|
||||
},
|
||||
"source": [
|
||||
"# Run the Agent System"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "NQKri37Ubw-S",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"8f64ad3584b74928b9069fe84ff178db",
|
||||
"2e4b43c537924f8e8ab8d17696a90330"
|
||||
]
|
||||
},
|
||||
"id": "NQKri37Ubw-S",
|
||||
"outputId": "6741cd08-37c6-4d5a-aacd-a6ca44104dc1"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #ff9b9b; text-decoration-color: #ff9b9b; font-weight: bold\">👤 Agent:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">EcommerceShoppingAgent</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #b4b4b3; text-decoration-color: #b4b4b3; font-weight: bold\">Role:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">Assistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
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|
||||
"\u001b[38;2;210;227;200m╭─\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[1;38;2;210;227;200mAgent Info\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[38;2;210;227;200m───────────────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;210;227;200m─╮\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;255;155;155m👤 Agent:\u001b[0m \u001b[38;2;255;229;229mEcommerceShoppingAgent\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
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|
||||
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||||
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||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
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|
||||
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|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
|
||||
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|
||||
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|
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|
||||
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||||
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||||
"</pre>\n"
|
||||
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|
||||
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">Response generated in 7.8s</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[2mResponse generated in 7.8s\u001b[0m\n"
|
||||
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|
||||
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|
||||
"metadata": {},
|
||||
"output_type": "display_data"
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||||
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||||
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|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Find the best deals and compare features for the latest wireless earbuds <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> under $100. Expected Output: A list of recommended wireless earbuds under $100 with pros, cons, and prices. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Please provide only the final result of your work. Do not add any conversation or extra explanation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m You need to do the following task: Find the best deals and compare features for the latest wireless earbuds \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m under $100. Expected Output: A list of recommended wireless earbuds under $100 with pros, cons, and prices. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Please provide only the final result of your work. Do not add any conversation or extra explanation. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">1. Anker Soundcore Life P2</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Price:</span> $49.99 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Excellent battery life (up to 40 hours with case) <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>IPX7 waterproof rating <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Good sound quality with graphene drivers <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>USB-C charging <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>No active noise cancellation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Limited touch controls <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">2. TOZO T6</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Price:</span> $29.99 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Affordable price <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>IPX8 waterproof rating <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Touch controls <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Good sound quality for the price <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Average battery life (up to 6 hours per charge) <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>No active noise cancellation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">3. JLab Audio JBuds Air</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Price:</span> $49.99 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Custom EQ3 sound settings <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>IP55 sweat resistance <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Good fit with multiple ear tips <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Integrated charging cable in the case <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Bulky charging case <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>No active noise cancellation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">4. Skullcandy Sesh Evo</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Price:</span> $49.99 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Tile tracking feature <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>IP55 sweat, water, and dust resistance <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Decent sound quality <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Good battery life (up to 24 hours with case) <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Limited touch controls <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>No active noise cancellation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">5. SoundPEATS TrueFree2</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Price:</span> $39.99 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Secure fit with ear fins <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>IPX7 waterproof rating <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Good sound quality <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>USB-C charging <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>No active noise cancellation <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Average battery life (up to 4 hours per charge) <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> These options provide a range of features and prices, allowing you to choose based on your specific needs and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> preferences. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m1. Anker Soundcore Life P2\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPrice:\u001b[0m $49.99 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mExcellent battery life (up to 40 hours with case) \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mIPX7 waterproof rating \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGood sound quality with graphene drivers \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mUSB-C charging \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mNo active noise cancellation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mLimited touch controls \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m2. TOZO T6\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPrice:\u001b[0m $29.99 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAffordable price \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mIPX8 waterproof rating \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mTouch controls \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGood sound quality for the price \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAverage battery life (up to 6 hours per charge) \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mNo active noise cancellation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m3. JLab Audio JBuds Air\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPrice:\u001b[0m $49.99 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mCustom EQ3 sound settings \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mIP55 sweat resistance \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGood fit with multiple ear tips \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mIntegrated charging cable in the case \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mBulky charging case \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mNo active noise cancellation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m4. Skullcandy Sesh Evo\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPrice:\u001b[0m $49.99 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mTile tracking feature \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mIP55 sweat, water, and dust resistance \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mDecent sound quality \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGood battery life (up to 24 hours with case) \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mLimited touch controls \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mNo active noise cancellation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m5. SoundPEATS TrueFree2\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPrice:\u001b[0m $39.99 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mSecure fit with ear fins \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mIPX7 waterproof rating \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGood sound quality \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mUSB-C charging \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mNo active noise cancellation \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAverage battery life (up to 4 hours per charge) \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m These options provide a range of features and prices, allowing you to choose based on your specific needs and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m preferences. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🛍️ Shopping Assistant Output:\n",
|
||||
" **1. Anker Soundcore Life P2**\n",
|
||||
"\n",
|
||||
"- **Price:** $49.99\n",
|
||||
"- **Pros:** \n",
|
||||
" - Excellent battery life (up to 40 hours with case)\n",
|
||||
" - IPX7 waterproof rating\n",
|
||||
" - Good sound quality with graphene drivers\n",
|
||||
" - USB-C charging\n",
|
||||
"- **Cons:** \n",
|
||||
" - No active noise cancellation\n",
|
||||
" - Limited touch controls\n",
|
||||
"\n",
|
||||
"**2. TOZO T6**\n",
|
||||
"\n",
|
||||
"- **Price:** $29.99\n",
|
||||
"- **Pros:** \n",
|
||||
" - Affordable price\n",
|
||||
" - IPX8 waterproof rating\n",
|
||||
" - Touch controls\n",
|
||||
" - Good sound quality for the price\n",
|
||||
"- **Cons:** \n",
|
||||
" - Average battery life (up to 6 hours per charge)\n",
|
||||
" - No active noise cancellation\n",
|
||||
"\n",
|
||||
"**3. JLab Audio JBuds Air**\n",
|
||||
"\n",
|
||||
"- **Price:** $49.99\n",
|
||||
"- **Pros:** \n",
|
||||
" - Custom EQ3 sound settings\n",
|
||||
" - IP55 sweat resistance\n",
|
||||
" - Good fit with multiple ear tips\n",
|
||||
" - Integrated charging cable in the case\n",
|
||||
"- **Cons:** \n",
|
||||
" - Bulky charging case\n",
|
||||
" - No active noise cancellation\n",
|
||||
"\n",
|
||||
"**4. Skullcandy Sesh Evo**\n",
|
||||
"\n",
|
||||
"- **Price:** $49.99\n",
|
||||
"- **Pros:** \n",
|
||||
" - Tile tracking feature\n",
|
||||
" - IP55 sweat, water, and dust resistance\n",
|
||||
" - Decent sound quality\n",
|
||||
" - Good battery life (up to 24 hours with case)\n",
|
||||
"- **Cons:** \n",
|
||||
" - Limited touch controls\n",
|
||||
" - No active noise cancellation\n",
|
||||
"\n",
|
||||
"**5. SoundPEATS TrueFree2**\n",
|
||||
"\n",
|
||||
"- **Price:** $39.99\n",
|
||||
"- **Pros:** \n",
|
||||
" - Secure fit with ear fins\n",
|
||||
" - IPX7 waterproof rating\n",
|
||||
" - Good sound quality\n",
|
||||
" - USB-C charging\n",
|
||||
"- **Cons:** \n",
|
||||
" - No active noise cancellation\n",
|
||||
" - Average battery life (up to 4 hours per charge)\n",
|
||||
"\n",
|
||||
"These options provide a range of features and prices, allowing you to choose based on your specific needs and preferences.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"query = \"Find the best wireless earbuds under $100 with noise cancellation\"\n",
|
||||
"output = assistant_system.start(input=query)\n",
|
||||
"\n",
|
||||
"# 📄 Display Output\n",
|
||||
"print(\"🛍️ Shopping Assistant Output:\\n\", output)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,398 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "ZqmhthnKYNve"
|
||||
},
|
||||
"source": [
|
||||
"# Flow – Intelligent Agent for Daily Efficiency"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "nPPyvagreZ_i"
|
||||
},
|
||||
"source": [
|
||||
"# Description"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "5wMZC3_0edNZ"
|
||||
},
|
||||
"source": [
|
||||
"This agent uses a custom DuckDuckGo search tool to intelligently retrieve and summarize real-time information based on user queries."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "mNFEBTyAek8E"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Flow_Intelligent_Agent_PraisonAI.ipynb)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "mHpIJFsZYNvi"
|
||||
},
|
||||
"source": [
|
||||
"## Tools\n",
|
||||
"- `praisonaiagents` – Intelligent Agent framework\n",
|
||||
"- `duckduckgo-search` – Custom search tool\n",
|
||||
"- `pyyaml` – YAML config\n",
|
||||
"- `openai` – LLM backend"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "K1QOdZ8SYqoF"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "zZOiRidoYNvj"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"!pip install praisonaiagents duckduckgo-search pyyaml openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "_9jyGJrOYyKh"
|
||||
},
|
||||
"source": [
|
||||
"# Set your OpenAI API Key securely"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "7huxRijxYNvk"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"os.environ['OPENAI_API_KEY'] = 'your api key' # Replace with your actual OpenAI key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "E3naWfHNYNvk"
|
||||
},
|
||||
"source": [
|
||||
"## YAML Prompt\n",
|
||||
"Define multiple agents and their roles."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "kYST2rZqYNvl"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import yaml\n",
|
||||
"\n",
|
||||
"yaml_prompt = '''\n",
|
||||
"agents:\n",
|
||||
" - name: FlowAgent\n",
|
||||
" description: Intelligent daily workflow assistant\n",
|
||||
" - name: ChileAtiendeAI\n",
|
||||
" description: Government support assistant for Chile\n",
|
||||
" - name: ClinicalTrialMatcher\n",
|
||||
" description: Match patients to trials using input medical info\n",
|
||||
" - name: ChillWorkEmailAgent\n",
|
||||
" description: Automate email replies and scheduling\n",
|
||||
"'''\n",
|
||||
"\n",
|
||||
"config = yaml.safe_load(yaml_prompt)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "tBryRalYYNvl"
|
||||
},
|
||||
"source": [
|
||||
"## Main\n",
|
||||
"Initialize agent with a custom DuckDuckGo tool and simulate a task."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 673,
|
||||
"referenced_widgets": [
|
||||
"865a918fc4d54fd0a110ea3eb7fe4215",
|
||||
"c70a26d2c54549888067f65c366bdb9b"
|
||||
]
|
||||
},
|
||||
"id": "1mMAS_1PYNvl",
|
||||
"outputId": "d3aacdd3-5e01-460b-ae66-385f6a62c1eb"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"\u001b[32m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
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||||
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|
||||
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|
||||
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"text/plain": [
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"\u001b[2mResponse generated in 6.1s\u001b[0m\n"
|
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]
|
||||
},
|
||||
"metadata": {},
|
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"output_type": "display_data"
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> What's the latest open-source AI agent framework? <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
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"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m What's the latest open-source AI agent framework? \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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]
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"metadata": {},
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Here are some of the latest open-source AI agent frameworks: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">OpenAgents</span>: An open framework for connecting AI agents at scale. More information can be found on their <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span><a href=\"https://openagents.org/\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">website</span></a>. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">AutoGen</span>: A framework by Microsoft Research that enables next-gen LLM applications via multi-agent <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>conversation. You can read more about it <a href=\"https://www.microsoft.com/en-us/research/publication/autogen-enabling-next-gen-llm-applications-via-multi-agent-conversation-framework/\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">here</span></a>. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">SuperAGI</span>: An open-source framework to build, manage, and run useful autonomous AI agents. Check out their <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span><a href=\"https://github.com/TransformerOptimus/SuperAGI\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">GitHub repository</span></a> for more details. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
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||||
"</pre>\n"
|
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|
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|
||||
"\u001b[36m│\u001b[0m Here are some of the latest open-source AI agent frameworks: \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mOpenAgents\u001b[0m: An open framework for connecting AI agents at scale. More information can be found on their \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b]8;id=900045;https://openagents.org/\u001b\\\u001b[4;34mwebsite\u001b[0m\u001b]8;;\u001b\\. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mAutoGen\u001b[0m: A framework by Microsoft Research that enables next-gen LLM applications via multi-agent \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mconversation. You can read more about it \u001b]8;id=398797;https://www.microsoft.com/en-us/research/publication/autogen-enabling-next-gen-llm-applications-via-multi-agent-conversation-framework/\u001b\\\u001b[4;34mhere\u001b[0m\u001b]8;;\u001b\\. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mSuperAGI\u001b[0m: An open-source framework to build, manage, and run useful autonomous AI agents. Check out their \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b]8;id=898758;https://github.com/TransformerOptimus/SuperAGI\u001b\\\u001b[4;34mGitHub repository\u001b[0m\u001b]8;;\u001b\\ for more details. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
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]
|
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},
|
||||
"metadata": {},
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"output_type": "display_data"
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},
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{
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||||
"name": "stdout",
|
||||
"output_type": "stream",
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||||
"text": [
|
||||
"Here are some of the latest open-source AI agent frameworks:\n",
|
||||
"\n",
|
||||
"1. **OpenAgents**: An open framework for connecting AI agents at scale. More information can be found on their [website](https://openagents.org/).\n",
|
||||
"\n",
|
||||
"2. **AutoGen**: A framework by Microsoft Research that enables next-gen LLM applications via multi-agent conversation. You can read more about it [here](https://www.microsoft.com/en-us/research/publication/autogen-enabling-next-gen-llm-applications-via-multi-agent-conversation-framework/).\n",
|
||||
"\n",
|
||||
"3. **SuperAGI**: An open-source framework to build, manage, and run useful autonomous AI agents. Check out their [GitHub repository](https://github.com/TransformerOptimus/SuperAGI) for more details.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent\n",
|
||||
"from duckduckgo_search import DDGS\n",
|
||||
"\n",
|
||||
"def internet_search_tool(query: str):\n",
|
||||
" ddgs = DDGS()\n",
|
||||
" results = []\n",
|
||||
" for res in ddgs.text(keywords=query, max_results=3):\n",
|
||||
" results.append(f\"{res['title']} - {res['href']}\")\n",
|
||||
" return \"\\n\".join(results)\n",
|
||||
"\n",
|
||||
"# Initialize the main agent (FlowAgent)\n",
|
||||
"flow_config = config['agents'][0]\n",
|
||||
"flow_agent = Agent(\n",
|
||||
" name=flow_config['name'],\n",
|
||||
" instructions=flow_config['description'],\n",
|
||||
" tools=[internet_search_tool]\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"response = flow_agent.start(\"What's the latest open-source AI agent framework?\")\n",
|
||||
"print(response)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"name": "python",
|
||||
"version": "3.x"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
@@ -0,0 +1,369 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "d2cd727d",
|
||||
"metadata": {
|
||||
"id": "d2cd727d"
|
||||
},
|
||||
"source": [
|
||||
"# Fuel Emission Estimator & Forecasting Agent\n",
|
||||
"\n",
|
||||
"An intelligent agent that calculates annual CO₂ emissions based on user driving patterns and vehicle type. It also forecasts how emissions would change if the user switches to a more fuel-efficient or hybrid vehicle in the future. Powered by OpenAI and designed to assist individuals in making eco-conscious transportation decisions.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "06ae55aa",
|
||||
"metadata": {
|
||||
"id": "06ae55aa"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Fuel_Emission_Agent_Intelligence_Agent.ipynb)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "227e582f",
|
||||
"metadata": {
|
||||
"id": "227e582f"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "c59db014",
|
||||
"metadata": {
|
||||
"id": "c59db014"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"!pip install -q praisonaiagents openai duckduckgo_search \"anyio<4\""
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "0L9HTI3GcU63",
|
||||
"metadata": {
|
||||
"id": "0L9HTI3GcU63"
|
||||
},
|
||||
"source": [
|
||||
"# Set API Key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "SpBU5DL5brYh",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "SpBU5DL5brYh",
|
||||
"outputId": "e56c185c-5f0c-4939-e4dc-0418667a04a8"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🔐 Enter your OpenAI API Key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"🔐 Enter your OpenAI API Key: \")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "VBZ30nKucXvA",
|
||||
"metadata": {
|
||||
"id": "VBZ30nKucXvA"
|
||||
},
|
||||
"source": [
|
||||
"# Create a Fuel Emission Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "-C8fVp-1bwOu",
|
||||
"metadata": {
|
||||
"id": "-C8fVp-1bwOu"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent\n",
|
||||
"\n",
|
||||
"yaml_prompt = \"\"\"\n",
|
||||
"name: FuelEmissionMiniAgent\n",
|
||||
"role: Calculate CO2 emissions based on user driving habits and forecast impact of switching to hybrid vehicles.\n",
|
||||
"goal: Return estimated annual CO2 output and forecast change in emissions with different vehicle types.\n",
|
||||
"tools:\n",
|
||||
" - openai\n",
|
||||
"responses:\n",
|
||||
" - concise\n",
|
||||
" - clear\n",
|
||||
"\"\"\"\n",
|
||||
"\n",
|
||||
"agent = Agent(\n",
|
||||
" name=\"FuelEmissionMiniAgent\",\n",
|
||||
" instructions=yaml_prompt\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "SQ7Pcki7ca1S",
|
||||
"metadata": {
|
||||
"id": "SQ7Pcki7ca1S"
|
||||
},
|
||||
"source": [
|
||||
"# Run the Agent with Your Question"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "njNLFurYby3L",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"1b8ec3bc72c54cc4ae7649115185eda4",
|
||||
"40ef4acb2e2341a883f0a6b12eee4d19"
|
||||
]
|
||||
},
|
||||
"id": "njNLFurYby3L",
|
||||
"outputId": "3e3f886a-8af6-4357-d98c-f0c00006c755"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #ff9b9b; text-decoration-color: #ff9b9b; font-weight: bold\">👤 Agent:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">FuelEmissionMiniAgent</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #b4b4b3; text-decoration-color: #b4b4b3; font-weight: bold\">Role:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">Assistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[38;2;210;227;200m╭─\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[1;38;2;210;227;200mAgent Info\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[38;2;210;227;200m───────────────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;210;227;200m─╮\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;255;155;155m👤 Agent:\u001b[0m \u001b[38;2;255;229;229mFuelEmissionMiniAgent\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
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|
||||
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|
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
"\u001b[2mResponse generated in 4.0s\u001b[0m\n"
|
||||
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|
||||
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|
||||
"metadata": {},
|
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> I drive 12,000 km per year using a petrol car that gets 10 km/l. How much CO2 do I emit annually? How would <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> this change if I switch to a hybrid vehicle in 2 years? <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
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|
||||
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|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m I drive 12,000 km per year using a petrol car that gets 10 km/l. How much CO2 do I emit annually? How would \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m this change if I switch to a hybrid vehicle in 2 years? \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
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|
||||
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|
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|
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|
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|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> To calculate your annual CO2 emissions, we first need to determine the amount of fuel you use annually: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Fuel Consumption</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Distance driven per year: 12,000 km <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Fuel efficiency: 10 km/l <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Annual fuel consumption = 12,000 km / 10 km/l = 1,200 liters <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">CO2 Emissions</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Petrol emits approximately 2.31 kg of CO2 per liter. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Annual CO2 emissions = 1,200 liters * 2.31 kg/l = 2,772 kg of CO2 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> If you switch to a hybrid vehicle in 2 years, let's assume the hybrid has a fuel efficiency of 20 km/l (a <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> common improvement over traditional petrol cars): <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Hybrid Fuel Consumption</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Distance driven per year: 12,000 km <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Hybrid fuel efficiency: 20 km/l <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Annual fuel consumption = 12,000 km / 20 km/l = 600 liters <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Hybrid CO2 Emissions</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Annual CO2 emissions = 600 liters * 2.31 kg/l = 1,386 kg of CO2 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Forecasted Change</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Current annual emissions: 2,772 kg of CO2 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Future annual emissions with hybrid: 1,386 kg of CO2 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Reduction in emissions: 2,772 kg - 1,386 kg = 1,386 kg of CO2 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Switching to a hybrid vehicle could reduce your annual CO2 emissions by approximately 50%. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m To calculate your annual CO2 emissions, we first need to determine the amount of fuel you use annually: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mFuel Consumption\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mDistance driven per year: 12,000 km \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mFuel efficiency: 10 km/l \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAnnual fuel consumption = 12,000 km / 10 km/l = 1,200 liters \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mCO2 Emissions\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mPetrol emits approximately 2.31 kg of CO2 per liter. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAnnual CO2 emissions = 1,200 liters * 2.31 kg/l = 2,772 kg of CO2 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m If you switch to a hybrid vehicle in 2 years, let's assume the hybrid has a fuel efficiency of 20 km/l (a \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m common improvement over traditional petrol cars): \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mHybrid Fuel Consumption\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mDistance driven per year: 12,000 km \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mHybrid fuel efficiency: 20 km/l \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAnnual fuel consumption = 12,000 km / 20 km/l = 600 liters \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mHybrid CO2 Emissions\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAnnual CO2 emissions = 600 liters * 2.31 kg/l = 1,386 kg of CO2 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mForecasted Change\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mCurrent annual emissions: 2,772 kg of CO2 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mFuture annual emissions with hybrid: 1,386 kg of CO2 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mReduction in emissions: 2,772 kg - 1,386 kg = 1,386 kg of CO2 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Switching to a hybrid vehicle could reduce your annual CO2 emissions by approximately 50%. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"To calculate your annual CO2 emissions, we first need to determine the amount of fuel you use annually:\n",
|
||||
"\n",
|
||||
"1. **Fuel Consumption**: \n",
|
||||
" - Distance driven per year: 12,000 km \n",
|
||||
" - Fuel efficiency: 10 km/l \n",
|
||||
" - Annual fuel consumption = 12,000 km / 10 km/l = 1,200 liters\n",
|
||||
"\n",
|
||||
"2. **CO2 Emissions**: \n",
|
||||
" - Petrol emits approximately 2.31 kg of CO2 per liter. \n",
|
||||
" - Annual CO2 emissions = 1,200 liters * 2.31 kg/l = 2,772 kg of CO2\n",
|
||||
"\n",
|
||||
"If you switch to a hybrid vehicle in 2 years, let's assume the hybrid has a fuel efficiency of 20 km/l (a common improvement over traditional petrol cars):\n",
|
||||
"\n",
|
||||
"1. **Hybrid Fuel Consumption**: \n",
|
||||
" - Distance driven per year: 12,000 km \n",
|
||||
" - Hybrid fuel efficiency: 20 km/l \n",
|
||||
" - Annual fuel consumption = 12,000 km / 20 km/l = 600 liters\n",
|
||||
"\n",
|
||||
"2. **Hybrid CO2 Emissions**: \n",
|
||||
" - Annual CO2 emissions = 600 liters * 2.31 kg/l = 1,386 kg of CO2\n",
|
||||
"\n",
|
||||
"**Forecasted Change**: \n",
|
||||
"- Current annual emissions: 2,772 kg of CO2 \n",
|
||||
"- Future annual emissions with hybrid: 1,386 kg of CO2 \n",
|
||||
"- Reduction in emissions: 2,772 kg - 1,386 kg = 1,386 kg of CO2\n",
|
||||
"\n",
|
||||
"Switching to a hybrid vehicle could reduce your annual CO2 emissions by approximately 50%.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"query = (\n",
|
||||
" \"I drive 12,000 km per year using a petrol car that gets 10 km/l. \"\n",
|
||||
" \"How much CO2 do I emit annually? How would this change if I switch to a hybrid vehicle in 2 years?\"\n",
|
||||
")\n",
|
||||
"\n",
|
||||
"response = agent.start(prompt=query)\n",
|
||||
"print(response)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"name": "python"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,681 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "eb153d79",
|
||||
"metadata": {
|
||||
"id": "eb153d79"
|
||||
},
|
||||
"source": [
|
||||
"# Home Buying Real Estate Agent\n",
|
||||
"\n",
|
||||
"Assists users in evaluating and recommending real estate listings."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "N1N183yMfJ_0",
|
||||
"metadata": {
|
||||
"id": "N1N183yMfJ_0"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Home_Buying_Real_Estate_Agent.ipynb)\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "bTkerYnid8ao",
|
||||
"metadata": {
|
||||
"id": "bTkerYnid8ao"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "51e87f94",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "51e87f94",
|
||||
"outputId": "df61cc7b-72d1-4b51-c5f0-071a6ecd6b8e"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/176.8 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m176.8/176.8 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/130.2 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.2/130.2 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/105.4 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.4/105.4 kB\u001b[0m \u001b[31m4.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/45.2 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.2/45.2 kB\u001b[0m \u001b[31m2.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install -q praisonaiagents openai"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "fojF7UVJeaI5",
|
||||
"metadata": {
|
||||
"id": "fojF7UVJeaI5"
|
||||
},
|
||||
"source": [
|
||||
"# Set OpenAI API Key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "be325f31",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "be325f31",
|
||||
"outputId": "489cd22b-bf0a-4984-e54a-a94d379d61e9"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Enter your OpenAI API key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"# 🔑 Enter your API Key securely\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter your OpenAI API key: \")\n",
|
||||
"import openai\n",
|
||||
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "R1G-5soreoNI",
|
||||
"metadata": {
|
||||
"id": "R1G-5soreoNI"
|
||||
},
|
||||
"source": [
|
||||
"# Import PraisonAI Agent Framework"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "5e58b964",
|
||||
"metadata": {
|
||||
"id": "5e58b964"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent, Task, PraisonAIAgents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "b57756cb",
|
||||
"metadata": {
|
||||
"id": "b57756cb"
|
||||
},
|
||||
"source": [
|
||||
"# YAML configuration style for the agent behavior"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "0efc056c",
|
||||
"metadata": {
|
||||
"id": "0efc056c"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yaml_prompt = \"\"\"\n",
|
||||
"name: HomeBuyingAssistant\n",
|
||||
"role: Real Estate Advisor Agent\n",
|
||||
"goal: Assist users in making informed decisions when buying residential property.\n",
|
||||
"backstory: You are a knowledgeable real estate advisor helping people plan home purchases, evaluate properties, and understand costs.\n",
|
||||
"skills:\n",
|
||||
" - Mortgage and loan explanation\n",
|
||||
" - Property comparison\n",
|
||||
" - Cost of living and taxes\n",
|
||||
" - First-time homebuyer guidance\n",
|
||||
"llm: gpt-4o\n",
|
||||
"verbosity: true\n",
|
||||
"format: markdown\n",
|
||||
"\"\"\"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "f-IQLlIKe1UF",
|
||||
"metadata": {
|
||||
"id": "f-IQLlIKe1UF"
|
||||
},
|
||||
"source": [
|
||||
"# Create the Real Estate Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "a3c2ec29",
|
||||
"metadata": {
|
||||
"id": "a3c2ec29"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"real_estate_agent = Agent(\n",
|
||||
" name=\"HomeBuyingAssistant\",\n",
|
||||
" instructions=\"\"\"\n",
|
||||
"You are a home-buying real estate advisor agent.\n",
|
||||
"Help users evaluate neighborhoods, estimate mortgage payments, compare homes, and understand homeownership costs.\n",
|
||||
"Explain clearly, format in markdown, and be friendly but professional.\n",
|
||||
"\"\"\",\n",
|
||||
" llm=\"gpt-4o\",\n",
|
||||
" verbose=True,\n",
|
||||
" markdown=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "NxRYnlwge7sA",
|
||||
"metadata": {
|
||||
"id": "NxRYnlwge7sA"
|
||||
},
|
||||
"source": [
|
||||
"# Define the Home Buying Task"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "ucU_MEM7e5Vf",
|
||||
"metadata": {
|
||||
"id": "ucU_MEM7e5Vf"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"real_estate_task = Task(\n",
|
||||
" name=\"HomePurchaseGuidance\",\n",
|
||||
" description=\"Guide a first-time homebuyer looking to purchase a 3-bedroom house in Austin, TX under $500,000.\",\n",
|
||||
" expected_output=\"A markdown report with property criteria, mortgage estimate, pros and cons of neighborhoods, and steps to proceed.\",\n",
|
||||
" agent=real_estate_agent\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "72wNG8q4e_iV",
|
||||
"metadata": {
|
||||
"id": "72wNG8q4e_iV"
|
||||
},
|
||||
"source": [
|
||||
"# Create Agent System"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "fP1Xmk8xe-ea",
|
||||
"metadata": {
|
||||
"id": "fP1Xmk8xe-ea"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"home_buying_system = PraisonAIAgents(\n",
|
||||
" agents=[real_estate_agent],\n",
|
||||
" tasks=[real_estate_task],\n",
|
||||
" process=\"sequential\",\n",
|
||||
" verbose=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "W7XhaDskfGTo",
|
||||
"metadata": {
|
||||
"id": "W7XhaDskfGTo"
|
||||
},
|
||||
"source": [
|
||||
"# Run the Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "1KEkwZbVfD33",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"44f97685092540e3b962554218f00438",
|
||||
"112e5b9377114efe996da4ddbc181454"
|
||||
]
|
||||
},
|
||||
"id": "1KEkwZbVfD33",
|
||||
"outputId": "71f8a42e-d177-462b-f44c-9f97243180ec"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #ff9b9b; text-decoration-color: #ff9b9b; font-weight: bold\">👤 Agent:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">HomeBuyingAssistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #b4b4b3; text-decoration-color: #b4b4b3; font-weight: bold\">Role:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">Assistant</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
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|
||||
"\u001b[38;2;210;227;200m╭─\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[1;38;2;210;227;200mAgent Info\u001b[0m\u001b[38;2;210;227;200m \u001b[0m\u001b[38;2;210;227;200m───────────────────────────────────────────────────────────────────────────────────────────────────\u001b[0m\u001b[38;2;210;227;200m─╮\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;255;155;155m👤 Agent:\u001b[0m \u001b[38;2;255;229;229mHomeBuyingAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
"version_minor": 0
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||||
},
|
||||
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||||
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|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
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||||
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|
||||
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|
||||
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|
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||||
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||||
"</pre>\n"
|
||||
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|
||||
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|
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|
||||
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|
||||
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|
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||||
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||||
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||||
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|
||||
"</pre>\n"
|
||||
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|
||||
"text/plain": [
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||||
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|
||||
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|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭───────────────────────────────────────────────────── Task ──────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Guide a first-time homebuyer looking to purchase a 3-bedroom house in <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Austin, TX under $500,000.. Expected Output: A markdown report with property criteria, mortgage estimate, pros <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> and cons of neighborhoods, and steps to proceed.. Please provide only the final result of your work. Do not add <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> any conversation or extra explanation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
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|
||||
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|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m You need to do the following task: Guide a first-time homebuyer looking to purchase a 3-bedroom house in \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Austin, TX under $500,000.. Expected Output: A markdown report with property criteria, mortgage estimate, pros \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m and cons of neighborhoods, and steps to proceed.. Please provide only the final result of your work. Do not add \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m any conversation or extra explanation. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
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|
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|
||||
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|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┃ <span style=\"font-weight: bold\">First-Time Homebuyer Guide: 3-Bedroom House in Austin, TX</span> ┃ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Property Criteria</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Location:</span> Austin, TX <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Type:</span> 3-bedroom house <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Budget:</span> Under $500,000 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Mortgage Estimate</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Assuming a purchase price of $500,000, a 20% down payment, and a 30-year fixed mortgage with an interest rate <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> of 7%: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Down Payment:</span> $100,000 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Loan Amount:</span> $400,000 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Monthly Mortgage Payment:</span> Approximately $2,661 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #800080; text-decoration-color: #800080\">▌ </span><span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">Note: This estimate includes principal and interest only. Taxes, insurance, and HOA fees (if applicable) </span><span style=\"color: #800080; text-decoration-color: #800080\"> </span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #800080; text-decoration-color: #800080\">▌ </span><span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">will add to the monthly cost.</span><span style=\"color: #800080; text-decoration-color: #800080\"> </span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Neighborhood Evaluation</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">1. South Austin</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Vibrant community with a mix of cultures. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Close to downtown and entertainment options. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Good schools and parks. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Traffic congestion during peak hours. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Higher property taxes in some areas. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">2. North Austin</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>More affordable housing options. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Growing tech industry presence. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Family-friendly neighborhoods. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Further from downtown. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Limited public transportation options. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">3. East Austin</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Trendy and rapidly developing area. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Rich cultural history and diversity. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Proximity to downtown. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Rising property prices. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Gentrification concerns. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">4. West Austin</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Pros:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Scenic views and outdoor activities. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>High-rated schools. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Quiet and upscale neighborhoods. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cons:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Higher cost of living. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Limited affordable housing options. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Steps to Proceed</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Financial Preparation:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Review your credit score and financial standing. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Get pre-approved for a mortgage to understand your budget. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Neighborhood Research:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Visit potential neighborhoods at different times of the day. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Consider proximity to work, schools, and amenities. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Engage a Real Estate Agent:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Choose an agent familiar with Austin's market. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Discuss your needs and preferences. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">House Hunting:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Attend open houses and schedule private showings. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Compare properties based on criteria and budget. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">Make an Offer:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Work with your agent to make a competitive offer. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Be prepared for negotiations. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 6 </span><span style=\"font-weight: bold\">Home Inspection and Closing:</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Conduct a thorough home inspection. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>Finalize mortgage details and close the deal. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #800080; text-decoration-color: #800080\">▌ </span><span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">Remember, buying a home is a significant investment. Take your time to ensure it meets your needs and </span><span style=\"color: #800080; text-decoration-color: #800080\"> </span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #800080; text-decoration-color: #800080\">▌ </span><span style=\"color: #800080; text-decoration-color: #800080; font-style: italic\">financial situation.</span><span style=\"color: #800080; text-decoration-color: #800080\"> </span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m ┃ \u001b[1mFirst-Time Homebuyer Guide: 3-Bedroom House in Austin, TX\u001b[0m ┃ \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mProperty Criteria\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mLocation:\u001b[0m Austin, TX \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mType:\u001b[0m 3-bedroom house \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mBudget:\u001b[0m Under $500,000 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mMortgage Estimate\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Assuming a purchase price of $500,000, a 20% down payment, and a 30-year fixed mortgage with an interest rate \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m of 7%: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mDown Payment:\u001b[0m $100,000 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mLoan Amount:\u001b[0m $400,000 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mMonthly Mortgage Payment:\u001b[0m Approximately $2,661 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[35m▌ \u001b[0m\u001b[3;35mNote: This estimate includes principal and interest only. Taxes, insurance, and HOA fees (if applicable) \u001b[0m\u001b[35m \u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[35m▌ \u001b[0m\u001b[3;35mwill add to the monthly cost.\u001b[0m\u001b[35m \u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mNeighborhood Evaluation\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m1. \u001b[0m\u001b[1mSouth Austin\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mVibrant community with a mix of cultures. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mClose to downtown and entertainment options. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGood schools and parks. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mTraffic congestion during peak hours. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mHigher property taxes in some areas. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m2. \u001b[0m\u001b[1mNorth Austin\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mMore affordable housing options. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGrowing tech industry presence. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mFamily-friendly neighborhoods. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mFurther from downtown. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mLimited public transportation options. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m3. \u001b[0m\u001b[1mEast Austin\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mTrendy and rapidly developing area. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mRich cultural history and diversity. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mProximity to downtown. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mRising property prices. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGentrification concerns. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1m4. \u001b[0m\u001b[1mWest Austin\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPros:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mScenic views and outdoor activities. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mHigh-rated schools. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mQuiet and upscale neighborhoods. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCons:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mHigher cost of living. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mLimited affordable housing options. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mSteps to Proceed\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mFinancial Preparation:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mReview your credit score and financial standing. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mGet pre-approved for a mortgage to understand your budget. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mNeighborhood Research:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mVisit potential neighborhoods at different times of the day. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mConsider proximity to work, schools, and amenities. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mEngage a Real Estate Agent:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mChoose an agent familiar with Austin's market. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mDiscuss your needs and preferences. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mHouse Hunting:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mAttend open houses and schedule private showings. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mCompare properties based on criteria and budget. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mMake an Offer:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mWork with your agent to make a competitive offer. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mBe prepared for negotiations. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mHome Inspection and Closing:\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mConduct a thorough home inspection. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mFinalize mortgage details and close the deal. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[35m▌ \u001b[0m\u001b[3;35mRemember, buying a home is a significant investment. Take your time to ensure it meets your needs and \u001b[0m\u001b[35m \u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[35m▌ \u001b[0m\u001b[3;35mfinancial situation.\u001b[0m\u001b[35m \u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🏠 Home Buying Report:\n",
|
||||
" # First-Time Homebuyer Guide: 3-Bedroom House in Austin, TX\n",
|
||||
"\n",
|
||||
"## Property Criteria\n",
|
||||
"- **Location:** Austin, TX\n",
|
||||
"- **Type:** 3-bedroom house\n",
|
||||
"- **Budget:** Under $500,000\n",
|
||||
"\n",
|
||||
"## Mortgage Estimate\n",
|
||||
"Assuming a purchase price of $500,000, a 20% down payment, and a 30-year fixed mortgage with an interest rate of 7%:\n",
|
||||
"\n",
|
||||
"- **Down Payment:** $100,000\n",
|
||||
"- **Loan Amount:** $400,000\n",
|
||||
"- **Monthly Mortgage Payment:** Approximately $2,661\n",
|
||||
"\n",
|
||||
"> *Note: This estimate includes principal and interest only. Taxes, insurance, and HOA fees (if applicable) will add to the monthly cost.*\n",
|
||||
"\n",
|
||||
"## Neighborhood Evaluation\n",
|
||||
"\n",
|
||||
"### 1. **South Austin**\n",
|
||||
"- **Pros:**\n",
|
||||
" - Vibrant community with a mix of cultures.\n",
|
||||
" - Close to downtown and entertainment options.\n",
|
||||
" - Good schools and parks.\n",
|
||||
"- **Cons:**\n",
|
||||
" - Traffic congestion during peak hours.\n",
|
||||
" - Higher property taxes in some areas.\n",
|
||||
"\n",
|
||||
"### 2. **North Austin**\n",
|
||||
"- **Pros:**\n",
|
||||
" - More affordable housing options.\n",
|
||||
" - Growing tech industry presence.\n",
|
||||
" - Family-friendly neighborhoods.\n",
|
||||
"- **Cons:**\n",
|
||||
" - Further from downtown.\n",
|
||||
" - Limited public transportation options.\n",
|
||||
"\n",
|
||||
"### 3. **East Austin**\n",
|
||||
"- **Pros:**\n",
|
||||
" - Trendy and rapidly developing area.\n",
|
||||
" - Rich cultural history and diversity.\n",
|
||||
" - Proximity to downtown.\n",
|
||||
"- **Cons:**\n",
|
||||
" - Rising property prices.\n",
|
||||
" - Gentrification concerns.\n",
|
||||
"\n",
|
||||
"### 4. **West Austin**\n",
|
||||
"- **Pros:**\n",
|
||||
" - Scenic views and outdoor activities.\n",
|
||||
" - High-rated schools.\n",
|
||||
" - Quiet and upscale neighborhoods.\n",
|
||||
"- **Cons:**\n",
|
||||
" - Higher cost of living.\n",
|
||||
" - Limited affordable housing options.\n",
|
||||
"\n",
|
||||
"## Steps to Proceed\n",
|
||||
"\n",
|
||||
"1. **Financial Preparation:**\n",
|
||||
" - Review your credit score and financial standing.\n",
|
||||
" - Get pre-approved for a mortgage to understand your budget.\n",
|
||||
"\n",
|
||||
"2. **Neighborhood Research:**\n",
|
||||
" - Visit potential neighborhoods at different times of the day.\n",
|
||||
" - Consider proximity to work, schools, and amenities.\n",
|
||||
"\n",
|
||||
"3. **Engage a Real Estate Agent:**\n",
|
||||
" - Choose an agent familiar with Austin's market.\n",
|
||||
" - Discuss your needs and preferences.\n",
|
||||
"\n",
|
||||
"4. **House Hunting:**\n",
|
||||
" - Attend open houses and schedule private showings.\n",
|
||||
" - Compare properties based on criteria and budget.\n",
|
||||
"\n",
|
||||
"5. **Make an Offer:**\n",
|
||||
" - Work with your agent to make a competitive offer.\n",
|
||||
" - Be prepared for negotiations.\n",
|
||||
"\n",
|
||||
"6. **Home Inspection and Closing:**\n",
|
||||
" - Conduct a thorough home inspection.\n",
|
||||
" - Finalize mortgage details and close the deal.\n",
|
||||
"\n",
|
||||
"> *Remember, buying a home is a significant investment. Take your time to ensure it meets your needs and financial situation.*\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# Input your query here\n",
|
||||
"query = \"Help a first-time buyer find a 3-bedroom home under $500,000 in Austin, TX. Include loan and tax guidance.\"\n",
|
||||
"output = home_buying_system.start(input=query)\n",
|
||||
"\n",
|
||||
"# 🏠 Show the results\n",
|
||||
"print(\"🏠 Home Buying Report:\\n\", output)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,591 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "c417d47b",
|
||||
"metadata": {
|
||||
"id": "c417d47b"
|
||||
},
|
||||
"source": [
|
||||
"# YouTube Influencer Intelligence Agent\n",
|
||||
"\n",
|
||||
"Analyzes YouTube influencers for marketing or collaboration purposes."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "xox_eBaJg4rq",
|
||||
"metadata": {
|
||||
"id": "xox_eBaJg4rq"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/YouTube_Influencer_Intelligence_Agent.ipynb)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "jsaqhbElgHza",
|
||||
"metadata": {
|
||||
"id": "jsaqhbElgHza"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"id": "324febba",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "324febba",
|
||||
"outputId": "148556a5-fd5e-44ee-e4e1-56ae68709464"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/176.8 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m176.8/176.8 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m130.2/130.2 kB\u001b[0m \u001b[31m5.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m105.4/105.4 kB\u001b[0m \u001b[31m5.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m41.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.2/45.2 kB\u001b[0m \u001b[31m3.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install -q praisonaiagents openai duckduckgo_search"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "pnILL4wigO--",
|
||||
"metadata": {
|
||||
"id": "pnILL4wigO--"
|
||||
},
|
||||
"source": [
|
||||
"# Set OpenAI API Key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"id": "2997709c",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "2997709c",
|
||||
"outputId": "c6369f33-76c5-4b23-fd68-ed1ec92eec0e"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Enter your OpenAI API key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"# 🔑 Securely input your API key\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter your OpenAI API key: \")\n",
|
||||
"import openai\n",
|
||||
"openai.api_key = os.getenv(\"OPENAI_API_KEY\")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "fhuSmjHFgW8t",
|
||||
"metadata": {
|
||||
"id": "fhuSmjHFgW8t"
|
||||
},
|
||||
"source": [
|
||||
"# Import PraisonAI Agents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"id": "1c01dc84",
|
||||
"metadata": {
|
||||
"id": "1c01dc84"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent, Task, PraisonAIAgents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "49a41cdd",
|
||||
"metadata": {
|
||||
"id": "49a41cdd"
|
||||
},
|
||||
"source": [
|
||||
"# YAML Prompt"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"id": "0b3a6096",
|
||||
"metadata": {
|
||||
"id": "0b3a6096"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yaml_prompt = \"\"\"\n",
|
||||
"name: YouTubeInfluencerIntelligence\n",
|
||||
"role: YouTube Channel Analysis and Strategy Expert\n",
|
||||
"goal: Analyze YouTube influencers and channels to provide strategic insights, trends, and content suggestions.\n",
|
||||
"backstory: You are a YouTube analytics expert trained in identifying trends, engagement metrics, and content strategies.\n",
|
||||
"skills:\n",
|
||||
" - Analyze subscriber and engagement data\n",
|
||||
" - Spot content patterns and trends\n",
|
||||
" - Recommend growth strategies\n",
|
||||
" - Detect potential monetization methods\n",
|
||||
"llm: gpt-4o\n",
|
||||
"verbosity: true\n",
|
||||
"format: markdown\n",
|
||||
"\"\"\"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "dQ0vQrsggiqt",
|
||||
"metadata": {
|
||||
"id": "dQ0vQrsggiqt"
|
||||
},
|
||||
"source": [
|
||||
"# Define the Intelligence Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "f293e64e",
|
||||
"metadata": {
|
||||
"id": "f293e64e"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yt_agent = Agent(\n",
|
||||
" name=\"YouTubeInfluencerIntel\",\n",
|
||||
" instructions=\"\"\"\n",
|
||||
"You are a YouTube intelligence analyst. Your job is to research a specific channel, niche, or influencer topic.\n",
|
||||
"Provide growth recommendations, engagement analysis, trending strategies, and monetization tips. Format in markdown.\n",
|
||||
"\"\"\",\n",
|
||||
" llm=\"gpt-4o\",\n",
|
||||
" verbose=True,\n",
|
||||
" markdown=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "ULFepw5ggoRY",
|
||||
"metadata": {
|
||||
"id": "ULFepw5ggoRY"
|
||||
},
|
||||
"source": [
|
||||
"# Define the Task"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "pplhgO0WglsY",
|
||||
"metadata": {
|
||||
"id": "pplhgO0WglsY"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yt_task = Task(\n",
|
||||
" name=\"AnalyzeInfluencerChannel\",\n",
|
||||
" description=\"Analyze the growth strategy of the YouTube channel 'Ali Abdaal' and suggest content ideas for a new productivity creator.\",\n",
|
||||
" expected_output=\"A markdown report with channel strengths, content patterns, audience engagement tips, and content ideas.\",\n",
|
||||
" agent=yt_agent\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "JCLR8cZEguUV",
|
||||
"metadata": {
|
||||
"id": "JCLR8cZEguUV"
|
||||
},
|
||||
"source": [
|
||||
"# Create Agent System"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "DT34DDBmgqbk",
|
||||
"metadata": {
|
||||
"id": "DT34DDBmgqbk"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yt_intel_system = PraisonAIAgents(\n",
|
||||
" agents=[yt_agent],\n",
|
||||
" tasks=[yt_task],\n",
|
||||
" process=\"sequential\",\n",
|
||||
" verbose=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "N1gjbZ33gzzN",
|
||||
"metadata": {
|
||||
"id": "N1gjbZ33gzzN"
|
||||
},
|
||||
"source": [
|
||||
"# Run the Agent"
|
||||
]
|
||||
},
|
||||
{
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"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> You need to do the following task: Analyze the growth strategy of the YouTube channel 'Ali Abdaal' and suggest <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> content ideas for a new productivity creator.. Expected Output: A markdown report with channel strengths, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
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"\u001b[36m│\u001b[0m You need to do the following task: Analyze the growth strategy of the YouTube channel 'Ali Abdaal' and suggest \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m content ideas for a new productivity creator.. Expected Output: A markdown report with channel strengths, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m content patterns, audience engagement tips, and content ideas.. Please provide only the final result of your \u001b[36m│\u001b[0m\n",
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┃ <span style=\"font-weight: bold\">YouTube Channel Analysis: Ali Abdaal</span> ┃ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Channel Strengths</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Educational Content</span>: Ali Abdaal is known for his informative and educational content, focusing on <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>productivity, personal development, and tech reviews. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Authenticity</span>: His genuine and relatable personality helps build trust with his audience. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Consistency</span>: Regular uploads and a consistent content schedule keep the audience engaged. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">High-Quality Production</span>: Professional video and audio quality enhance viewer experience. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Diverse Content Formats</span>: Utilizes a mix of long-form videos, vlogs, and shorts to cater to different <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>audience preferences. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Content Patterns</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Productivity Tips</span>: Videos often focus on productivity hacks, study techniques, and time management. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Book Reviews and Summaries</span>: Regularly shares insights from books, appealing to an audience interested in <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>self-improvement. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Tech and Tools</span>: Reviews and recommendations of productivity tools and tech gadgets. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Personal Development</span>: Content on habits, routines, and personal growth strategies. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Collaborations</span>: Features interviews and collaborations with other influencers and experts. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Audience Engagement Tips</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Community Building</span>: Encourage viewer interaction through comments, polls, and Q&A sessions. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Feedback Loop</span>: Regularly ask for audience feedback to tailor content to viewer preferences. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Live Streams</span>: Host live sessions to engage with the audience in real-time and build a stronger community. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Social Media Integration</span>: Use platforms like Instagram and Twitter to engage with the audience outside of <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>YouTube. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Content Ideas for a New Productivity Creator</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Daily Routine Vlogs</span>: Share a day-in-the-life video focusing on productivity habits and routines. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Productivity Challenges</span>: Create a series where you try different productivity techniques for a week and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>share results. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Tool Comparisons</span>: Compare popular productivity tools and apps, providing pros and cons for each. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">Case Studies</span>: Analyze the productivity habits of successful individuals and extract actionable insights. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">Interactive Workshops</span>: Host virtual workshops on productivity topics, encouraging viewer participation. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 6 </span><span style=\"font-weight: bold\">Behind-the-Scenes</span>: Offer a glimpse into your content creation process and how you stay productive. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 7 </span><span style=\"font-weight: bold\">Book Club</span>: Start a monthly book club focusing on productivity and personal development books. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 8 </span><span style=\"font-weight: bold\">Myth Busting</span>: Debunk common productivity myths and provide evidence-based alternatives. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Trending Strategies</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Short-Form Content</span>: Leverage YouTube Shorts to capture attention with quick, impactful productivity tips. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">SEO Optimization</span>: Use relevant keywords and tags to improve video discoverability. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Cross-Promotion</span>: Collaborate with other creators in the productivity niche to reach new audiences. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Series Format</span>: Develop a series around a specific productivity theme to encourage binge-watching. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold; text-decoration: underline\">Monetization Tips</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Affiliate Marketing</span>: Promote productivity tools and books with affiliate links. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Online Courses</span>: Develop and sell courses on productivity and personal development. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Merchandise</span>: Create branded merchandise related to productivity themes. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Sponsorships</span>: Partner with brands that align with your content and audience interests. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Memberships</span>: Offer exclusive content and perks through YouTube memberships or Patreon. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> By leveraging these insights and strategies, a new productivity creator can effectively grow their channel and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> engage with their audience. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
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"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
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"\u001b[36m│\u001b[0m ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓ \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m ┃ \u001b[1mYouTube Channel Analysis: Ali Abdaal\u001b[0m ┃ \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛ \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[1;4mChannel Strengths\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mEducational Content\u001b[0m: Ali Abdaal is known for his informative and educational content, focusing on \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mproductivity, personal development, and tech reviews. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAuthenticity\u001b[0m: His genuine and relatable personality helps build trust with his audience. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mConsistency\u001b[0m: Regular uploads and a consistent content schedule keep the audience engaged. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mHigh-Quality Production\u001b[0m: Professional video and audio quality enhance viewer experience. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mDiverse Content Formats\u001b[0m: Utilizes a mix of long-form videos, vlogs, and shorts to cater to different \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0maudience preferences. \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[1;4mContent Patterns\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mProductivity Tips\u001b[0m: Videos often focus on productivity hacks, study techniques, and time management. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mBook Reviews and Summaries\u001b[0m: Regularly shares insights from books, appealing to an audience interested in \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mself-improvement. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mTech and Tools\u001b[0m: Reviews and recommendations of productivity tools and tech gadgets. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mPersonal Development\u001b[0m: Content on habits, routines, and personal growth strategies. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCollaborations\u001b[0m: Features interviews and collaborations with other influencers and experts. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
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"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mAudience Engagement Tips\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCommunity Building\u001b[0m: Encourage viewer interaction through comments, polls, and Q&A sessions. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mFeedback Loop\u001b[0m: Regularly ask for audience feedback to tailor content to viewer preferences. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mLive Streams\u001b[0m: Host live sessions to engage with the audience in real-time and build a stronger community. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mSocial Media Integration\u001b[0m: Use platforms like Instagram and Twitter to engage with the audience outside of \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mYouTube. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mContent Ideas for a New Productivity Creator\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mDaily Routine Vlogs\u001b[0m: Share a day-in-the-life video focusing on productivity habits and routines. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mProductivity Challenges\u001b[0m: Create a series where you try different productivity techniques for a week and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mshare results. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mTool Comparisons\u001b[0m: Compare popular productivity tools and apps, providing pros and cons for each. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mCase Studies\u001b[0m: Analyze the productivity habits of successful individuals and extract actionable insights. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mInteractive Workshops\u001b[0m: Host virtual workshops on productivity topics, encouraging viewer participation. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mBehind-the-Scenes\u001b[0m: Offer a glimpse into your content creation process and how you stay productive. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 7 \u001b[0m\u001b[1mBook Club\u001b[0m: Start a monthly book club focusing on productivity and personal development books. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 8 \u001b[0m\u001b[1mMyth Busting\u001b[0m: Debunk common productivity myths and provide evidence-based alternatives. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mTrending Strategies\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mShort-Form Content\u001b[0m: Leverage YouTube Shorts to capture attention with quick, impactful productivity tips. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mSEO Optimization\u001b[0m: Use relevant keywords and tags to improve video discoverability. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mCross-Promotion\u001b[0m: Collaborate with other creators in the productivity niche to reach new audiences. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mSeries Format\u001b[0m: Develop a series around a specific productivity theme to encourage binge-watching. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;4mMonetization Tips\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mAffiliate Marketing\u001b[0m: Promote productivity tools and books with affiliate links. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mOnline Courses\u001b[0m: Develop and sell courses on productivity and personal development. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mMerchandise\u001b[0m: Create branded merchandise related to productivity themes. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mSponsorships\u001b[0m: Partner with brands that align with your content and audience interests. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mMemberships\u001b[0m: Offer exclusive content and perks through YouTube memberships or Patreon. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m By leveraging these insights and strategies, a new productivity creator can effectively grow their channel and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m engage with their audience. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🎥 YouTube Intelligence Report:\n",
|
||||
" # YouTube Channel Analysis: Ali Abdaal\n",
|
||||
"\n",
|
||||
"## Channel Strengths\n",
|
||||
"- **Educational Content**: Ali Abdaal is known for his informative and educational content, focusing on productivity, personal development, and tech reviews.\n",
|
||||
"- **Authenticity**: His genuine and relatable personality helps build trust with his audience.\n",
|
||||
"- **Consistency**: Regular uploads and a consistent content schedule keep the audience engaged.\n",
|
||||
"- **High-Quality Production**: Professional video and audio quality enhance viewer experience.\n",
|
||||
"- **Diverse Content Formats**: Utilizes a mix of long-form videos, vlogs, and shorts to cater to different audience preferences.\n",
|
||||
"\n",
|
||||
"## Content Patterns\n",
|
||||
"- **Productivity Tips**: Videos often focus on productivity hacks, study techniques, and time management.\n",
|
||||
"- **Book Reviews and Summaries**: Regularly shares insights from books, appealing to an audience interested in self-improvement.\n",
|
||||
"- **Tech and Tools**: Reviews and recommendations of productivity tools and tech gadgets.\n",
|
||||
"- **Personal Development**: Content on habits, routines, and personal growth strategies.\n",
|
||||
"- **Collaborations**: Features interviews and collaborations with other influencers and experts.\n",
|
||||
"\n",
|
||||
"## Audience Engagement Tips\n",
|
||||
"- **Community Building**: Encourage viewer interaction through comments, polls, and Q&A sessions.\n",
|
||||
"- **Feedback Loop**: Regularly ask for audience feedback to tailor content to viewer preferences.\n",
|
||||
"- **Live Streams**: Host live sessions to engage with the audience in real-time and build a stronger community.\n",
|
||||
"- **Social Media Integration**: Use platforms like Instagram and Twitter to engage with the audience outside of YouTube.\n",
|
||||
"\n",
|
||||
"## Content Ideas for a New Productivity Creator\n",
|
||||
"1. **Daily Routine Vlogs**: Share a day-in-the-life video focusing on productivity habits and routines.\n",
|
||||
"2. **Productivity Challenges**: Create a series where you try different productivity techniques for a week and share results.\n",
|
||||
"3. **Tool Comparisons**: Compare popular productivity tools and apps, providing pros and cons for each.\n",
|
||||
"4. **Case Studies**: Analyze the productivity habits of successful individuals and extract actionable insights.\n",
|
||||
"5. **Interactive Workshops**: Host virtual workshops on productivity topics, encouraging viewer participation.\n",
|
||||
"6. **Behind-the-Scenes**: Offer a glimpse into your content creation process and how you stay productive.\n",
|
||||
"7. **Book Club**: Start a monthly book club focusing on productivity and personal development books.\n",
|
||||
"8. **Myth Busting**: Debunk common productivity myths and provide evidence-based alternatives.\n",
|
||||
"\n",
|
||||
"## Trending Strategies\n",
|
||||
"- **Short-Form Content**: Leverage YouTube Shorts to capture attention with quick, impactful productivity tips.\n",
|
||||
"- **SEO Optimization**: Use relevant keywords and tags to improve video discoverability.\n",
|
||||
"- **Cross-Promotion**: Collaborate with other creators in the productivity niche to reach new audiences.\n",
|
||||
"- **Series Format**: Develop a series around a specific productivity theme to encourage binge-watching.\n",
|
||||
"\n",
|
||||
"## Monetization Tips\n",
|
||||
"- **Affiliate Marketing**: Promote productivity tools and books with affiliate links.\n",
|
||||
"- **Online Courses**: Develop and sell courses on productivity and personal development.\n",
|
||||
"- **Merchandise**: Create branded merchandise related to productivity themes.\n",
|
||||
"- **Sponsorships**: Partner with brands that align with your content and audience interests.\n",
|
||||
"- **Memberships**: Offer exclusive content and perks through YouTube memberships or Patreon.\n",
|
||||
"\n",
|
||||
"By leveraging these insights and strategies, a new productivity creator can effectively grow their channel and engage with their audience.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"query = \"Study the YouTube channel 'Ali Abdaal'. What makes it grow? Give tips for new productivity YouTubers.\"\n",
|
||||
"output = yt_intel_system.start(input=query)\n",
|
||||
"\n",
|
||||
"# 🎬 Output\n",
|
||||
"print(\"🎥 YouTube Intelligence Report:\\n\", output)\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,466 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "YiPIh4QSYBCW"
|
||||
},
|
||||
"source": [
|
||||
"# 🤖 GitHub Repo Analyzer Agent\n",
|
||||
"AI agent powered by PraisonAI and OpenAI to analyze GitHub repositories using GitHub API."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "2Jkig4AGZG1n"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/github_repo_analyzer_agent.ipynb)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "aAiN-i3UYvsN"
|
||||
},
|
||||
"source": [
|
||||
"# 📦 Install dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "1B_sEv9PYBCZ"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"!pip install praisonaiagents openai requests"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "eUViHgGPaObo"
|
||||
},
|
||||
"source": [
|
||||
"# Tools Used"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "ut_APj9xaSQI"
|
||||
},
|
||||
"source": [
|
||||
"🧠 praisonaiagents – Smart AI agent\n",
|
||||
"\n",
|
||||
"🔗 openai – GPT-powered responses\n",
|
||||
"\n",
|
||||
"📂 requests – GitHub repo analysis\n",
|
||||
"\n",
|
||||
"🖥️ Python I/O – Interactive CLI in notebook"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "hDsXrWYpYzuB"
|
||||
},
|
||||
"source": [
|
||||
"# 🔐 Set OpenAI API Key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "aea6TQ4hYBCb"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"if not os.getenv(\"OPENAI_API_KEY\"):\n",
|
||||
" os.environ[\"OPENAI_API_KEY\"] = input(\"🔐 Enter your OpenAI API key: \")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "OvQvZZonY2YI"
|
||||
},
|
||||
"source": [
|
||||
"# 🧠 Imports"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "1XSubvMsYBCc"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import requests\n",
|
||||
"import openai\n",
|
||||
"from praisonaiagents import Agent\n",
|
||||
"\n",
|
||||
"openai.api_key = os.environ[\"OPENAI_API_KEY\"]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "s0o_V2oqY4rJ"
|
||||
},
|
||||
"source": [
|
||||
"# 🤖 Create the Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "40KpW78vYBCc"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"agent = Agent(instructions=\"\"\"\n",
|
||||
"You are a GitHub codebase explainer. When given a repo URL, fetch summary of\n",
|
||||
"its files and provide insightful analysis. Be helpful and concise.\n",
|
||||
"\"\"\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "q4b3ts3lY-Fe"
|
||||
},
|
||||
"source": [
|
||||
"# 📂 Fetch GitHub repo file names"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "8fWBzdRxYBCd"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def fetch_repo_files(repo_url):\n",
|
||||
" api_url = repo_url.replace(\"https://github.com\", \"https://api.github.com/repos\") + \"/contents\"\n",
|
||||
" r = requests.get(api_url)\n",
|
||||
" return [f[\"name\"] for f in r.json()] if r.status_code == 200 else []"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "de0Du9OsZAjo"
|
||||
},
|
||||
"source": [
|
||||
"# 💬 Ask Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "v85t6c8PYBCd"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def ask_agent(repo_url):\n",
|
||||
" files = fetch_repo_files(repo_url)\n",
|
||||
" if not files:\n",
|
||||
" return \"❌ Cannot fetch repo contents.\"\n",
|
||||
" return agent.start(f\"Repo contains files: {files}. Analyze key components and structure.\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "8HOy15H0ZCsZ"
|
||||
},
|
||||
"source": [
|
||||
"# 🧪 Run the agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"c536cd3c498244d4b0c2526b00610f29",
|
||||
"f0baa19f760c4a869064e51fde0ea4d0"
|
||||
]
|
||||
},
|
||||
"id": "QNmR8_ZdYBCd",
|
||||
"outputId": "448195d1-28eb-43c1-e86c-5308c4e6d089"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🔗 Enter GitHub repository URL: https://github.com/DhivyaBharathy-web/agents\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
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|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
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||||
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||||
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|
||||
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|
||||
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|
||||
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"\u001b[2mResponse generated in 10.0s\u001b[0m\n"
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> 'fixed_YouTube_Influencer_Intelligence_Agent.ipynb', 'fixed_voiGno_Restaurant_Agent_PraisonAI.ipynb']. Analyze <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
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|
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|
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|
||||
"\u001b[36m│\u001b[0m Repo contains files: ['Fuel_Emission_Agent_Intelligence_Agent.ipynb', \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m 'fixed_Cognitive_Assistant_Agent_Team.ipynb', 'fixed_Crypto_Research_Agent_Intelligence_Agent.ipynb', \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m 'fixed_E_commerce_Shopping_Assistant.ipynb', 'fixed_Home_Buying_Real_Estate_Agent.ipynb', \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m 'fixed_YouTube_Influencer_Intelligence_Agent.ipynb', 'fixed_voiGno_Restaurant_Agent_PraisonAI.ipynb']. Analyze \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m key components and structure. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> The repository contains several Jupyter Notebook files, each seemingly focused on different specialized agents. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Here's a breakdown of the key components and structure based on the file names: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Fuel_Emission_Agent_Intelligence_Agent.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This notebook likely focuses on analyzing and possibly predicting fuel emissions. It might include data <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>analysis, machine learning models, or simulations to assess environmental impacts or optimize fuel usage. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">fixed_Cognitive_Assistant_Agent_Team.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This file suggests a cognitive assistant, possibly designed to aid in decision-making or provide <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>intelligent recommendations. The \"Team\" aspect might indicate collaborative features or multi-agent <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>interactions. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">fixed_Crypto_Research_Agent_Intelligence_Agent.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This notebook is probably dedicated to cryptocurrency research. It might include data analysis, market <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>trend predictions, or sentiment analysis related to cryptocurrencies. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">fixed_E_commerce_Shopping_Assistant.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This agent likely serves as a shopping assistant, possibly providing product recommendations, price <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>comparisons, or personalized shopping experiences for e-commerce platforms. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">fixed_Home_Buying_Real_Estate_Agent.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This notebook appears to be focused on the real estate market, potentially offering insights into <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>property values, market trends, or personalized home-buying recommendations. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 6 </span><span style=\"font-weight: bold\">fixed_YouTube_Influencer_Intelligence_Agent.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This file likely deals with analyzing YouTube influencers, possibly providing insights into influencer <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>performance, audience engagement, or content optimization strategies. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 7 </span><span style=\"font-weight: bold\">fixed_voiGno_Restaurant_Agent_PraisonAI.ipynb</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>This agent seems to be related to the restaurant industry, possibly offering services like menu <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>optimization, customer feedback analysis, or operational efficiency improvements. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Overall Structure and Insights</span>: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>The repository appears to focus on developing intelligent agents across various domains, each tailored to <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>specific industry needs. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>The use of Jupyter Notebooks suggests an emphasis on data analysis, visualization, and possibly machine <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>learning or AI model development. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>The prefix \"fixed_\" in the file names might indicate that these are refined or updated versions of previous <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>iterations. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span>The diversity of domains covered (environmental, cognitive, financial, e-commerce, real estate, social <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>media, and hospitality) suggests a broad application of AI and data-driven insights. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> These notebooks likely contain a mix of data preprocessing, model training, and evaluation, along with <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> visualizations to support the findings and recommendations of each agent. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m The repository contains several Jupyter Notebook files, each seemingly focused on different specialized agents. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Here's a breakdown of the key components and structure based on the file names: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mFuel_Emission_Agent_Intelligence_Agent.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis notebook likely focuses on analyzing and possibly predicting fuel emissions. It might include data \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0manalysis, machine learning models, or simulations to assess environmental impacts or optimize fuel usage. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mfixed_Cognitive_Assistant_Agent_Team.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis file suggests a cognitive assistant, possibly designed to aid in decision-making or provide \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mintelligent recommendations. The \"Team\" aspect might indicate collaborative features or multi-agent \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0minteractions. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mfixed_Crypto_Research_Agent_Intelligence_Agent.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis notebook is probably dedicated to cryptocurrency research. It might include data analysis, market \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mtrend predictions, or sentiment analysis related to cryptocurrencies. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mfixed_E_commerce_Shopping_Assistant.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis agent likely serves as a shopping assistant, possibly providing product recommendations, price \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mcomparisons, or personalized shopping experiences for e-commerce platforms. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mfixed_Home_Buying_Real_Estate_Agent.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis notebook appears to be focused on the real estate market, potentially offering insights into \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mproperty values, market trends, or personalized home-buying recommendations. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 6 \u001b[0m\u001b[1mfixed_YouTube_Influencer_Intelligence_Agent.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis file likely deals with analyzing YouTube influencers, possibly providing insights into influencer \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0mperformance, audience engagement, or content optimization strategies. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 7 \u001b[0m\u001b[1mfixed_voiGno_Restaurant_Agent_PraisonAI.ipynb\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m • \u001b[0mThis agent seems to be related to the restaurant industry, possibly offering services like menu \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0m\u001b[1;33m \u001b[0moptimization, customer feedback analysis, or operational efficiency improvements. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mOverall Structure and Insights\u001b[0m: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mThe repository appears to focus on developing intelligent agents across various domains, each tailored to \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mspecific industry needs. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mThe use of Jupyter Notebooks suggests an emphasis on data analysis, visualization, and possibly machine \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mlearning or AI model development. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mThe prefix \"fixed_\" in the file names might indicate that these are refined or updated versions of previous \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0miterations. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0mThe diversity of domains covered (environmental, cognitive, financial, e-commerce, real estate, social \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mmedia, and hospitality) suggests a broad application of AI and data-driven insights. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m These notebooks likely contain a mix of data preprocessing, model training, and evaluation, along with \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m visualizations to support the findings and recommendations of each agent. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\n",
|
||||
"🧠 Agent Insight:\n",
|
||||
" The repository contains several Jupyter Notebook files, each seemingly focused on different specialized agents. Here's a breakdown of the key components and structure based on the file names:\n",
|
||||
"\n",
|
||||
"1. **Fuel_Emission_Agent_Intelligence_Agent.ipynb**:\n",
|
||||
" - This notebook likely focuses on analyzing and possibly predicting fuel emissions. It might include data analysis, machine learning models, or simulations to assess environmental impacts or optimize fuel usage.\n",
|
||||
"\n",
|
||||
"2. **fixed_Cognitive_Assistant_Agent_Team.ipynb**:\n",
|
||||
" - This file suggests a cognitive assistant, possibly designed to aid in decision-making or provide intelligent recommendations. The \"Team\" aspect might indicate collaborative features or multi-agent interactions.\n",
|
||||
"\n",
|
||||
"3. **fixed_Crypto_Research_Agent_Intelligence_Agent.ipynb**:\n",
|
||||
" - This notebook is probably dedicated to cryptocurrency research. It might include data analysis, market trend predictions, or sentiment analysis related to cryptocurrencies.\n",
|
||||
"\n",
|
||||
"4. **fixed_E_commerce_Shopping_Assistant.ipynb**:\n",
|
||||
" - This agent likely serves as a shopping assistant, possibly providing product recommendations, price comparisons, or personalized shopping experiences for e-commerce platforms.\n",
|
||||
"\n",
|
||||
"5. **fixed_Home_Buying_Real_Estate_Agent.ipynb**:\n",
|
||||
" - This notebook appears to be focused on the real estate market, potentially offering insights into property values, market trends, or personalized home-buying recommendations.\n",
|
||||
"\n",
|
||||
"6. **fixed_YouTube_Influencer_Intelligence_Agent.ipynb**:\n",
|
||||
" - This file likely deals with analyzing YouTube influencers, possibly providing insights into influencer performance, audience engagement, or content optimization strategies.\n",
|
||||
"\n",
|
||||
"7. **fixed_voiGno_Restaurant_Agent_PraisonAI.ipynb**:\n",
|
||||
" - This agent seems to be related to the restaurant industry, possibly offering services like menu optimization, customer feedback analysis, or operational efficiency improvements.\n",
|
||||
"\n",
|
||||
"**Overall Structure and Insights**:\n",
|
||||
"- The repository appears to focus on developing intelligent agents across various domains, each tailored to specific industry needs.\n",
|
||||
"- The use of Jupyter Notebooks suggests an emphasis on data analysis, visualization, and possibly machine learning or AI model development.\n",
|
||||
"- The prefix \"fixed_\" in the file names might indicate that these are refined or updated versions of previous iterations.\n",
|
||||
"- The diversity of domains covered (environmental, cognitive, financial, e-commerce, real estate, social media, and hospitality) suggests a broad application of AI and data-driven insights.\n",
|
||||
"\n",
|
||||
"These notebooks likely contain a mix of data preprocessing, model training, and evaluation, along with visualizations to support the findings and recommendations of each agent.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"repo = input(\"🔗 Enter GitHub repository URL: \")\n",
|
||||
"print(\"\\n🧠 Agent Insight:\\n\", ask_agent(repo))"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"name": "python",
|
||||
"version": "3.11"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
@@ -0,0 +1,779 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "Ma_-6sDA-RaE"
|
||||
},
|
||||
"source": [
|
||||
"# AI‑Powered Personalized Learning Assistant with Smart Content Chatbot\n",
|
||||
"Powered by **praisonaiagents**, **OpenAI API**, and **Hugging Face Transformers**.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "dSQ-cb--A7Ys"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/personalized_learning_assistant.ipynb)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "mu7qWPtq_eOd"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "bPvUlNIV-RaK"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"!pip install praisonaiagents openai transformers"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "Z_SH8eTwAf3v"
|
||||
},
|
||||
"source": [
|
||||
"# Tools Used"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "ffqa_kI_ApwO"
|
||||
},
|
||||
"source": [
|
||||
"✅ praisonaiagents – Builds the smart tutoring agent.\n",
|
||||
"\n",
|
||||
"✅ openai – Connects to OpenAI’s GPT for accurate responses.\n",
|
||||
"\n",
|
||||
"✅ Hugging Face transformers – Uses GPT-2 as a fallback if OpenAI isn’t available.\n",
|
||||
"\n",
|
||||
"✅Python I/O – Enables interactive chat using input() and print()."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "fYU4lvNV_jyp"
|
||||
},
|
||||
"source": [
|
||||
"# Set Api Key"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"id": "gXlxt_gz-RaL"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"os.environ['OPENAI_API_KEY'] = input('Enter your OpenAI API key: ')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {
|
||||
"id": "yh4uKOB4_xQl"
|
||||
},
|
||||
"source": [
|
||||
"# Main"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 258,
|
||||
"referenced_widgets": [
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"dc97b547b11b41c79f293032f84243a3",
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
"id": "XshcuLCO-RaM",
|
||||
"outputId": "95d308ed-cb4a-402b-d755-afc8257afe34"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "dc97b547b11b41c79f293032f84243a3",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"config.json: 0%| | 0.00/665 [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "7b71a29acb1f44ca93c962114163fcff",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"model.safetensors: 0%| | 0.00/548M [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "362e1762012341b180502fa68bb1d4c1",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"generation_config.json: 0%| | 0.00/124 [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "b9c7aa568136493797109b873ebe3616",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"tokenizer_config.json: 0%| | 0.00/26.0 [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "0808ee0189734b6ba992df2be9d4f15f",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"vocab.json: 0%| | 0.00/1.04M [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "ea77452dd7d0402991cfadc717a47d19",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"merges.txt: 0%| | 0.00/456k [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "db0c8ba302844fd5982c6ac996fbb868",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"tokenizer.json: 0%| | 0.00/1.36M [00:00<?, ?B/s]"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Device set to use cpu\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from praisonaiagents import Agent\n",
|
||||
"from transformers import pipeline as hf_pipeline\n",
|
||||
"import openai\n",
|
||||
"\n",
|
||||
"openai.api_key = os.getenv('OPENAI_API_KEY')\n",
|
||||
"\n",
|
||||
"# Fallback NLP tool\n",
|
||||
"hf_chatbot = hf_pipeline('text-generation', model='gpt2')\n",
|
||||
"\n",
|
||||
"# Create smart Agent with praisonaiagents\n",
|
||||
"agent = Agent(instructions='You are a friendly tutor. Answer learner questions clearly and helpfully.')\n",
|
||||
"\n",
|
||||
"def chat_with_ai(user_input):\n",
|
||||
" try:\n",
|
||||
" return agent.start(user_input)\n",
|
||||
" except Exception as e:\n",
|
||||
" print('[Fallback GPT-2] ', e)\n",
|
||||
" return hf_chatbot(user_input, max_length=100)[0]['generated_text']"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"be1777343939486c941c1959f7632104",
|
||||
"1e3a02318cb642cb9304dece111a70cc",
|
||||
"7dca42e3bc724c6e9f63fd049a4539ea",
|
||||
"5b4ade0a459e42d38bc3cf84f01f6538"
|
||||
]
|
||||
},
|
||||
"id": "vELE_tDT-RaN",
|
||||
"outputId": "8ac6cf86-7894-47a0-b47b-cbc1cb474b41"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"You: What is the Pythagorean theorem?\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
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|
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||||
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> What is the Pythagorean theorem? <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> The Pythagorean theorem is a fundamental principle in geometry that relates to right-angled triangles. It <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> states that in a right-angled triangle, the square of the length of the hypotenuse (the side opposite the right <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> angle) is equal to the sum of the squares of the lengths of the other two sides. This can be expressed with the <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> formula: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> [ a^2 + b^2 = c^2 ] <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Here, ( c ) represents the length of the hypotenuse, while ( a ) and ( b ) represent the lengths of the other <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> two sides. This theorem is useful for calculating the length of one side of a right triangle if the lengths of <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> the other two sides are known. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
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|
||||
"\u001b[36m│\u001b[0m The Pythagorean theorem is a fundamental principle in geometry that relates to right-angled triangles. It \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m states that in a right-angled triangle, the square of the length of the hypotenuse (the side opposite the right \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m angle) is equal to the sum of the squares of the lengths of the other two sides. This can be expressed with the \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m formula: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m [ a^2 + b^2 = c^2 ] \u001b[36m│\u001b[0m\n",
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||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Here, ( c ) represents the length of the hypotenuse, while ( a ) and ( b ) represent the lengths of the other \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m two sides. This theorem is useful for calculating the length of one side of a right triangle if the lengths of \u001b[36m│\u001b[0m\n",
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||||
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"🤖 Tutor: The Pythagorean theorem is a fundamental principle in geometry that relates to right-angled triangles. It states that in a right-angled triangle, the square of the length of the hypotenuse (the side opposite the right angle) is equal to the sum of the squares of the lengths of the other two sides. This can be expressed with the formula:\n",
|
||||
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|
||||
"\\[ a^2 + b^2 = c^2 \\]\n",
|
||||
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|
||||
"Here, \\( c \\) represents the length of the hypotenuse, while \\( a \\) and \\( b \\) represent the lengths of the other two sides. This theorem is useful for calculating the length of one side of a right triangle if the lengths of the other two sides are known.\n",
|
||||
"You: How does photosynthesis work?\n"
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|
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|
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> How does photosynthesis work? <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
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|
||||
"\u001b[36m│\u001b[0m How does photosynthesis work? \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Photosynthesis is the process by which green plants, algae, and some bacteria convert light energy, usually <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> from the sun, into chemical energy stored in glucose. This process is essential for life on Earth as it <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> provides the oxygen we breathe and forms the base of the food chain. Here's how it works: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 1 </span><span style=\"font-weight: bold\">Light Absorption</span>: Photosynthesis begins when chlorophyll, the green pigment in plant cells, absorbs <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>sunlight. This primarily occurs in the chloroplasts of plant cells. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 2 </span><span style=\"font-weight: bold\">Water Splitting (Photolysis)</span>: The absorbed light energy is used to split water molecules (H₂O) into oxygen, <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>protons, and electrons. This reaction releases oxygen as a byproduct, which is expelled into the atmosphere. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 3 </span><span style=\"font-weight: bold\">Energy Conversion (Light Reactions)</span>: The electrons and protons generated from water splitting are used in <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>the light-dependent reactions. These reactions occur in the thylakoid membranes of the chloroplasts and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>result in the production of ATP (adenosine triphosphate) and NADPH, which are energy carriers. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 4 </span><span style=\"font-weight: bold\">Carbon Fixation (Calvin Cycle)</span>: In the light-independent reactions, also known as the Calvin Cycle, ATP and <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>NADPH produced in the light reactions are used to convert carbon dioxide (CO₂) from the atmosphere into <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>glucose (C₆H₁₂O₆). This process occurs in the stroma of the chloroplasts. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> 5 </span><span style=\"font-weight: bold\">Glucose Formation</span>: The glucose produced can be used immediately by the plant for energy or can be converted <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> </span>into other carbohydrates, such as starch, for storage. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Overall, the simplified equation for photosynthesis is: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> [ 6CO₂ + 6H₂O + light \\ energy \\rightarrow C₆H₁₂O₆ + 6O₂ ] <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> This equation shows that carbon dioxide and water, in the presence of light energy, are transformed into <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> glucose and oxygen. <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Photosynthesis is the process by which green plants, algae, and some bacteria convert light energy, usually \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m from the sun, into chemical energy stored in glucose. This process is essential for life on Earth as it \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m provides the oxygen we breathe and forms the base of the food chain. Here's how it works: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 1 \u001b[0m\u001b[1mLight Absorption\u001b[0m: Photosynthesis begins when chlorophyll, the green pigment in plant cells, absorbs \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0msunlight. This primarily occurs in the chloroplasts of plant cells. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 2 \u001b[0m\u001b[1mWater Splitting (Photolysis)\u001b[0m: The absorbed light energy is used to split water molecules (H₂O) into oxygen, \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mprotons, and electrons. This reaction releases oxygen as a byproduct, which is expelled into the atmosphere. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 3 \u001b[0m\u001b[1mEnergy Conversion (Light Reactions)\u001b[0m: The electrons and protons generated from water splitting are used in \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mthe light-dependent reactions. These reactions occur in the thylakoid membranes of the chloroplasts and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mresult in the production of ATP (adenosine triphosphate) and NADPH, which are energy carriers. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 4 \u001b[0m\u001b[1mCarbon Fixation (Calvin Cycle)\u001b[0m: In the light-independent reactions, also known as the Calvin Cycle, ATP and \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mNADPH produced in the light reactions are used to convert carbon dioxide (CO₂) from the atmosphere into \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0mglucose (C₆H₁₂O₆). This process occurs in the stroma of the chloroplasts. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m 5 \u001b[0m\u001b[1mGlucose Formation\u001b[0m: The glucose produced can be used immediately by the plant for energy or can be converted \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m \u001b[0minto other carbohydrates, such as starch, for storage. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Overall, the simplified equation for photosynthesis is: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m [ 6CO₂ + 6H₂O + light \\ energy \\rightarrow C₆H₁₂O₆ + 6O₂ ] \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m This equation shows that carbon dioxide and water, in the presence of light energy, are transformed into \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m glucose and oxygen. \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
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|
||||
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|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🤖 Tutor: Photosynthesis is the process by which green plants, algae, and some bacteria convert light energy, usually from the sun, into chemical energy stored in glucose. This process is essential for life on Earth as it provides the oxygen we breathe and forms the base of the food chain. Here's how it works:\n",
|
||||
"\n",
|
||||
"1. **Light Absorption**: Photosynthesis begins when chlorophyll, the green pigment in plant cells, absorbs sunlight. This primarily occurs in the chloroplasts of plant cells.\n",
|
||||
"\n",
|
||||
"2. **Water Splitting (Photolysis)**: The absorbed light energy is used to split water molecules (H₂O) into oxygen, protons, and electrons. This reaction releases oxygen as a byproduct, which is expelled into the atmosphere.\n",
|
||||
"\n",
|
||||
"3. **Energy Conversion (Light Reactions)**: The electrons and protons generated from water splitting are used in the light-dependent reactions. These reactions occur in the thylakoid membranes of the chloroplasts and result in the production of ATP (adenosine triphosphate) and NADPH, which are energy carriers.\n",
|
||||
"\n",
|
||||
"4. **Carbon Fixation (Calvin Cycle)**: In the light-independent reactions, also known as the Calvin Cycle, ATP and NADPH produced in the light reactions are used to convert carbon dioxide (CO₂) from the atmosphere into glucose (C₆H₁₂O₆). This process occurs in the stroma of the chloroplasts.\n",
|
||||
"\n",
|
||||
"5. **Glucose Formation**: The glucose produced can be used immediately by the plant for energy or can be converted into other carbohydrates, such as starch, for storage.\n",
|
||||
"\n",
|
||||
"Overall, the simplified equation for photosynthesis is:\n",
|
||||
"\n",
|
||||
"\\[ 6CO₂ + 6H₂O + light \\ energy \\rightarrow C₆H₁₂O₆ + 6O₂ \\]\n",
|
||||
"\n",
|
||||
"This equation shows that carbon dioxide and water, in the presence of light energy, are transformed into glucose and oxygen.\n",
|
||||
"You: stop\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
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|
||||
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|
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|
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"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
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"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;255;155;155m👤 Agent:\u001b[0m \u001b[38;2;255;229;229mAgent\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
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"\u001b[38;2;210;227;200m│\u001b[0m \u001b[1;38;2;180;180;179mRole:\u001b[0m \u001b[38;2;255;229;229mAssistant\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
||||
"\u001b[38;2;210;227;200m│\u001b[0m \u001b[38;2;210;227;200m│\u001b[0m\n",
|
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"\u001b[38;2;210;227;200m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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|
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"\u001b[2mResponse generated in 0.5s\u001b[0m\n"
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> stop <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
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|
||||
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|
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|
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"\u001b[36m╭─\u001b[0m\u001b[36m────────────────────────────────────────────────────\u001b[0m\u001b[36m Task \u001b[0m\u001b[36m─────────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m stop \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
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||||
},
|
||||
"metadata": {},
|
||||
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|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> If you have any more questions or need further assistance, feel free to ask! <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
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|
||||
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|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m If you have any more questions or need further assistance, feel free to ask! \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"🤖 Tutor: If you have any more questions or need further assistance, feel free to ask!\n",
|
||||
"You: exit\n",
|
||||
"Goodbye! Happy learning!\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"while True:\n",
|
||||
" user_input = input('You: ')\n",
|
||||
" if user_input.lower() in ['exit','quit']:\n",
|
||||
" print('Goodbye! Happy learning!')\n",
|
||||
" break\n",
|
||||
" response = chat_with_ai(user_input)\n",
|
||||
" print('🤖 Tutor:', response)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"name": "python"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
@@ -0,0 +1,467 @@
|
||||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "6068ab0d",
|
||||
"metadata": {
|
||||
"id": "6068ab0d"
|
||||
},
|
||||
"source": [
|
||||
"# voiGno Restaurant Agent – Voice Booking System with Interruption Handling"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "Y9FkDzt1lF47",
|
||||
"metadata": {
|
||||
"id": "Y9FkDzt1lF47"
|
||||
},
|
||||
"source": [
|
||||
"This notebook implements a conversational restaurant booking assistant using the Praison AI Agent framework. It handles natural interruptions such as modifying guest count or changing time mid-conversation. Built for Google Colab Free Tier, it uses OpenAI's GPT-4o model and follows a YAML-based agent design for clarity and modularity."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "7Ik-GsSjlPza",
|
||||
"metadata": {
|
||||
"id": "7Ik-GsSjlPza"
|
||||
},
|
||||
"source": [
|
||||
"[](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/voiGno_Restaurant_Agent_PraisonAI.ipynb)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "vOsFg5C0lNg8",
|
||||
"metadata": {
|
||||
"id": "vOsFg5C0lNg8"
|
||||
},
|
||||
"source": [
|
||||
"# Dependencies"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"id": "c5b33646",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "c5b33646",
|
||||
"outputId": "3728c81a-e8f4-4fce-e2da-2723937df0b5"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/3.3 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.3/3.3 MB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━\u001b[0m \u001b[32m2.4/3.3 MB\u001b[0m \u001b[31m35.4 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r",
|
||||
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m32.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
||||
"\u001b[?25h"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install -q openai duckduckgo_search praisonaiagents"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "5wUAjCAwlX-k",
|
||||
"metadata": {
|
||||
"id": "5wUAjCAwlX-k"
|
||||
},
|
||||
"source": [
|
||||
"# OpenAI API + Imports"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"id": "c8dbd157",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/"
|
||||
},
|
||||
"id": "c8dbd157",
|
||||
"outputId": "2d9209c8-87a1-4093-bcbe-6f53b83867a1"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Enter your OpenAI API key: ··········\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"from getpass import getpass\n",
|
||||
"\n",
|
||||
"os.environ[\"OPENAI_API_KEY\"] = getpass(\"Enter your OpenAI API key: \")\n",
|
||||
"import openai\n",
|
||||
"from praisonaiagents import Agent, Task, PraisonAIAgents\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "1qEN4kLNlcMq",
|
||||
"metadata": {
|
||||
"id": "1qEN4kLNlcMq"
|
||||
},
|
||||
"source": [
|
||||
"# YAML Prompt Configuration"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"id": "7d20ac12",
|
||||
"metadata": {
|
||||
"id": "7d20ac12"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"yaml_prompt = \"\"\"\n",
|
||||
"name: voiGnoRestaurantAgent\n",
|
||||
"role: Voice restaurant booking assistant with interruption handling\n",
|
||||
"goal: Coordinate bookings—date, time, guest count—with dynamic corrections\n",
|
||||
"backstory: You are a friendly, patient assistant that remembers and adapts conversation context.\n",
|
||||
"skills:\n",
|
||||
" - Context management\n",
|
||||
" - Handling mid-conversation changes\n",
|
||||
" - Summarizing confirmed reservations\n",
|
||||
"llm: gpt-4o\n",
|
||||
"verbosity: true\n",
|
||||
"format: markdown\n",
|
||||
"\"\"\"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "XcJsL2yple6S",
|
||||
"metadata": {
|
||||
"id": "XcJsL2yple6S"
|
||||
},
|
||||
"source": [
|
||||
"# Define Agent"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"id": "jPfTEPRkkvl8",
|
||||
"metadata": {
|
||||
"id": "jPfTEPRkkvl8"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"agent = Agent(\n",
|
||||
" name=\"voiGnoRestaurantAgent\",\n",
|
||||
" instructions=\"\"\"\n",
|
||||
"You are a restaurant booking assistant. Handle booking requests naturally,\n",
|
||||
"manage corrections like “change to 3 guests” or “move to 8 PM,”\n",
|
||||
"confirm the details once the user is satisfied. Respond in markdown.\n",
|
||||
"\"\"\",\n",
|
||||
" llm=\"gpt-4o\",\n",
|
||||
" verbose=True,\n",
|
||||
" markdown=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "okUezUadlhl4",
|
||||
"metadata": {
|
||||
"id": "okUezUadlhl4"
|
||||
},
|
||||
"source": [
|
||||
"# Define Task"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"id": "e1de31ba",
|
||||
"metadata": {
|
||||
"id": "e1de31ba"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"task = Task(\n",
|
||||
" name=\"VoiceBookingTask\",\n",
|
||||
" description=\"Assist user in making or updating a restaurant booking with interruptions.\",\n",
|
||||
" expected_output=\"A markdown-style conversation confirming updated booking details.\",\n",
|
||||
" agent=agent\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "TmgIxwgZlkI3",
|
||||
"metadata": {
|
||||
"id": "TmgIxwgZlkI3"
|
||||
},
|
||||
"source": [
|
||||
"# Build Agent System"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"id": "1ca36e92",
|
||||
"metadata": {
|
||||
"id": "1ca36e92"
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"booking_system = PraisonAIAgents(\n",
|
||||
" agents=[agent],\n",
|
||||
" tasks=[task],\n",
|
||||
" process=\"sequential\",\n",
|
||||
" verbose=True\n",
|
||||
")\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "D-OG_N_0loEw",
|
||||
"metadata": {
|
||||
"id": "D-OG_N_0loEw"
|
||||
},
|
||||
"source": [
|
||||
"# Run Example Dialogue"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"id": "A56Lhv0Lk5AT",
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"base_uri": "https://localhost:8080/",
|
||||
"height": 1000,
|
||||
"referenced_widgets": [
|
||||
"c605e612d0c9466e90451701534dac7b",
|
||||
"d77b8417c8c046fbb680d2f35c83a95b"
|
||||
]
|
||||
},
|
||||
"id": "A56Lhv0Lk5AT",
|
||||
"outputId": "a8d64995-03c7-4faa-d08b-ce66757d47b4"
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"> You: I'd like to book a table for 2 at 7 PM tomorrow.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">╭─ </span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8; font-weight: bold\">Agent Info</span><span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\"> ────────────────────────────────────────────────────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
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||||
"<span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span> <span style=\"color: #ff9b9b; text-decoration-color: #ff9b9b; font-weight: bold\">👤 Agent:</span> <span style=\"color: #ffe5e5; text-decoration-color: #ffe5e5\">voiGnoRestaurantAgent</span> <span style=\"color: #d2e3c8; text-decoration-color: #d2e3c8\">│</span>\n",
|
||||
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|
||||
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||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"data": {
|
||||
"text/html": [
|
||||
"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008080; text-decoration-color: #008080\">╭─────────────────────────────────────────────────── Response ────────────────────────────────────────────────────╮</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"font-weight: bold\">Booking Confirmation</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> Your restaurant booking has been successfully updated. Here are the details: <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Date:</span> [Please specify the date] <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Time:</span> 8:00 PM <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #808000; text-decoration-color: #808000; font-weight: bold\"> • </span><span style=\"font-weight: bold\">Guests:</span> 3 <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">│</span> If you need further assistance, feel free to ask! <span style=\"color: #008080; text-decoration-color: #008080\">│</span>\n",
|
||||
"<span style=\"color: #008080; text-decoration-color: #008080\">╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯</span>\n",
|
||||
"</pre>\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"\u001b[36m╭─\u001b[0m\u001b[36m──────────────────────────────────────────────────\u001b[0m\u001b[36m Response \u001b[0m\u001b[36m───────────────────────────────────────────────────\u001b[0m\u001b[36m─╮\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1mBooking Confirmation\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m Your restaurant booking has been successfully updated. Here are the details: \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mDate:\u001b[0m [Please specify the date] \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mTime:\u001b[0m 8:00 PM \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[1;33m • \u001b[0m\u001b[1mGuests:\u001b[0m 3 \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m│\u001b[0m If you need further assistance, feel free to ask! \u001b[36m│\u001b[0m\n",
|
||||
"\u001b[36m╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"**Booking Confirmation**\n",
|
||||
"\n",
|
||||
"Your restaurant booking has been successfully updated. Here are the details:\n",
|
||||
"\n",
|
||||
"- **Date:** [Please specify the date]\n",
|
||||
"- **Time:** 8:00 PM\n",
|
||||
"- **Guests:** 3\n",
|
||||
"\n",
|
||||
"If you need further assistance, feel free to ask! \n",
|
||||
"\n",
|
||||
"> You: Wait, actually make that 3 people instead.\n",
|
||||
"**Booking Confirmation**\n",
|
||||
"\n",
|
||||
"Your restaurant booking has been successfully updated. Here are the details:\n",
|
||||
"\n",
|
||||
"- **Date:** [Please specify the date]\n",
|
||||
"- **Time:** 8:00 PM\n",
|
||||
"- **Guests:** 3\n",
|
||||
"\n",
|
||||
"If you need further assistance, feel free to ask! \n",
|
||||
"\n",
|
||||
"> You: Can we move it to 8 PM?\n",
|
||||
"**Booking Confirmation**\n",
|
||||
"\n",
|
||||
"Your restaurant booking has been successfully updated. Here are the details:\n",
|
||||
"\n",
|
||||
"- **Date:** [Please specify the date]\n",
|
||||
"- **Time:** 8:00 PM\n",
|
||||
"- **Guests:** 3\n",
|
||||
"\n",
|
||||
"If you need further assistance, feel free to ask! \n",
|
||||
"\n",
|
||||
"> You: Great, that's perfect!\n",
|
||||
"**Booking Confirmation**\n",
|
||||
"\n",
|
||||
"Your restaurant booking has been successfully updated. Here are the details:\n",
|
||||
"\n",
|
||||
"- **Date:** [Please specify the date]\n",
|
||||
"- **Time:** 8:00 PM\n",
|
||||
"- **Guests:** 3\n",
|
||||
"\n",
|
||||
"If you need further assistance, feel free to ask! \n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"dialog = [\n",
|
||||
" \"I'd like to book a table for 2 at 7 PM tomorrow.\",\n",
|
||||
" \"Wait, actually make that 3 people instead.\",\n",
|
||||
" \"Can we move it to 8 PM?\",\n",
|
||||
" \"Great, that's perfect!\"\n",
|
||||
"]\n",
|
||||
"\n",
|
||||
"for turn in dialog:\n",
|
||||
" print(f\"> You: {turn}\")\n",
|
||||
" response = booking_system.start(input=turn)\n",
|
||||
" print(response, \"\\n\")\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"colab": {
|
||||
"provenance": []
|
||||
},
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
@@ -0,0 +1,34 @@
|
||||
# Example: Using Ollama with a remote host via base_url parameter
|
||||
# pip install praisonaiagents
|
||||
|
||||
from praisonaiagents import Agent
|
||||
|
||||
# Method 1: Using base_url parameter directly (NEW)
|
||||
agent = Agent(
|
||||
instructions="You are a helpful assistant",
|
||||
llm="ollama/llama3.2",
|
||||
base_url="http://remote-host:11434"
|
||||
)
|
||||
|
||||
response = agent.start("Why is the sky blue?")
|
||||
print(response)
|
||||
|
||||
# Method 2: Using dict configuration
|
||||
agent2 = Agent(
|
||||
instructions="You are a helpful assistant",
|
||||
llm={
|
||||
"model": "ollama/llama3.2",
|
||||
"base_url": "http://remote-host:11434"
|
||||
}
|
||||
)
|
||||
|
||||
response2 = agent2.start("What is the capital of France?")
|
||||
print(response2)
|
||||
|
||||
# Method 3: Using environment variable (existing method)
|
||||
# export OPENAI_BASE_URL=http://remote-host:11434
|
||||
# Then just:
|
||||
# agent3 = Agent(
|
||||
# instructions="You are a helpful assistant",
|
||||
# llm="ollama/llama3.2"
|
||||
# )
|
||||
@@ -0,0 +1,76 @@
|
||||
# # -*- coding: utf-8 -*-
|
||||
# """Flow_Intelligent_Agent_PraisonAI.ipynb
|
||||
|
||||
# Automatically generated by Colab.
|
||||
|
||||
# Original file is located at
|
||||
# https://colab.research.google.com/drive/1gm6zP1CbGU2d24iAaHhzVxTzWGs2oV43
|
||||
|
||||
# # Flow – Intelligent Agent for Daily Efficiency
|
||||
|
||||
# # Description
|
||||
|
||||
# This agent uses a custom DuckDuckGo search tool to intelligently retrieve and summarize real-time information based on user queries.
|
||||
|
||||
# [](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/Flow_Intelligent_Agent_PraisonAI.ipynb)
|
||||
|
||||
# ## Tools
|
||||
# - `praisonaiagents` – Intelligent Agent framework
|
||||
# - `duckduckgo-search` – Custom search tool
|
||||
# - `pyyaml` – YAML config
|
||||
# - `openai` – LLM backend
|
||||
|
||||
# # Dependencies
|
||||
# """
|
||||
|
||||
# pip install praisonaiagents duckduckgo-search pyyaml openai
|
||||
|
||||
# """# Set your OpenAI API Key securely"""
|
||||
|
||||
import os
|
||||
os.environ['OPENAI_API_KEY'] = 'your api key' # Replace with your actual OpenAI key
|
||||
|
||||
# """## YAML Prompt
|
||||
# Define multiple agents and their roles.
|
||||
# """
|
||||
|
||||
import yaml
|
||||
|
||||
yaml_prompt = '''
|
||||
agents:
|
||||
- name: FlowAgent
|
||||
description: Intelligent daily workflow assistant
|
||||
- name: ChileAtiendeAI
|
||||
description: Government support assistant for Chile
|
||||
- name: ClinicalTrialMatcher
|
||||
description: Match patients to trials using input medical info
|
||||
- name: ChillWorkEmailAgent
|
||||
description: Automate email replies and scheduling
|
||||
'''
|
||||
|
||||
config = yaml.safe_load(yaml_prompt)
|
||||
|
||||
# """## Main
|
||||
# Initialize agent with a custom DuckDuckGo tool and simulate a task.
|
||||
# """
|
||||
|
||||
from praisonaiagents import Agent
|
||||
from duckduckgo_search import DDGS
|
||||
|
||||
def internet_search_tool(query: str):
|
||||
ddgs = DDGS()
|
||||
results = []
|
||||
for res in ddgs.text(keywords=query, max_results=3):
|
||||
results.append(f"{res['title']} - {res['href']}")
|
||||
return "\n".join(results)
|
||||
|
||||
# Initialize the main agent (FlowAgent)
|
||||
flow_config = config['agents'][0]
|
||||
flow_agent = Agent(
|
||||
name=flow_config['name'],
|
||||
instructions=flow_config['description'],
|
||||
tools=[internet_search_tool]
|
||||
)
|
||||
|
||||
response = flow_agent.start("What's the latest open-source AI agent framework?")
|
||||
print(response)
|
||||
@@ -0,0 +1,69 @@
|
||||
# # -*- coding: utf-8 -*-
|
||||
# """github_repo_analyzer_agent.ipynb
|
||||
|
||||
# Automatically generated by Colab.
|
||||
|
||||
# Original file is located at
|
||||
# https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/github_repo_analyzer_agent.ipynb
|
||||
|
||||
# # 🤖 GitHub Repo Analyzer Agent
|
||||
# AI agent powered by PraisonAI and OpenAI to analyze GitHub repositories using GitHub API.
|
||||
|
||||
# [](https://colab.research.google.com/github/DhivyaBharathy-web/PraisonAI/blob/main/examples/cookbooks/github_repo_analyzer_agent.ipynb)
|
||||
|
||||
# # 📦 Install dependencies
|
||||
# """
|
||||
|
||||
# !pip install praisonaiagents openai requests
|
||||
|
||||
# """# Tools Used
|
||||
|
||||
# 🧠 praisonaiagents – Smart AI agent
|
||||
|
||||
# 🔗 openai – GPT-powered responses
|
||||
|
||||
# 📂 requests – GitHub repo analysis
|
||||
|
||||
# 🖥️ Python I/O – Interactive CLI in notebook
|
||||
|
||||
# # 🔐 Set OpenAI API Key
|
||||
# """
|
||||
|
||||
import os
|
||||
if not os.getenv("OPENAI_API_KEY"):
|
||||
os.environ["OPENAI_API_KEY"] = input("🔐 Enter your OpenAI API key: ")
|
||||
|
||||
# """# 🧠 Imports"""
|
||||
|
||||
import requests
|
||||
import openai
|
||||
from praisonaiagents import Agent
|
||||
|
||||
openai.api_key = os.environ["OPENAI_API_KEY"]
|
||||
|
||||
# """# 🤖 Create the Agent"""
|
||||
|
||||
agent = Agent(instructions="""
|
||||
You are a GitHub codebase explainer. When given a repo URL, fetch summary of
|
||||
its files and provide insightful analysis. Be helpful and concise.
|
||||
""")
|
||||
|
||||
# """# 📂 Fetch GitHub repo file names"""
|
||||
|
||||
def fetch_repo_files(repo_url):
|
||||
api_url = repo_url.replace("https://github.com", "https://api.github.com/repos") + "/contents"
|
||||
r = requests.get(api_url)
|
||||
return [f["name"] for f in r.json()] if r.status_code == 200 else []
|
||||
|
||||
# """# 💬 Ask Agent"""
|
||||
|
||||
def ask_agent(repo_url):
|
||||
files = fetch_repo_files(repo_url)
|
||||
if not files:
|
||||
return "❌ Cannot fetch repo contents."
|
||||
return agent.start(f"Repo contains files: {files}. Analyze key components and structure.")
|
||||
|
||||
# """# 🧪 Run the agent"""
|
||||
|
||||
repo = input("🔗 Enter GitHub repository URL: ")
|
||||
print("\n🧠 Agent Insight:\n", ask_agent(repo))
|
||||
@@ -0,0 +1,69 @@
|
||||
# ===============================
|
||||
# 1. 📘 Project Title & Purpose
|
||||
# ===============================
|
||||
# """
|
||||
# AI‑Powered Personalized Learning Assistant with Smart Content Chatbot
|
||||
|
||||
# This assistant helps users learn any topic by chatting with an AI tutor.
|
||||
# It uses PraisonAI Agents, OpenAI API, and Transformers to deliver answers clearly.
|
||||
# """
|
||||
|
||||
# ============================
|
||||
# 2. 📦 Dependencies Required
|
||||
# ============================
|
||||
# """
|
||||
# Required Libraries:
|
||||
# - praisonaiagents
|
||||
# - openai
|
||||
# - transformers
|
||||
|
||||
# Make sure to install these in Colab or terminal:
|
||||
# !pip install praisonaiagents openai transformers
|
||||
# """
|
||||
|
||||
# =====================
|
||||
# 3. 🧰 Tools Used
|
||||
# =====================
|
||||
# """
|
||||
# ✅ praisonaiagents – Builds the smart tutoring agent
|
||||
# ✅ openai – Uses OpenAI GPT for accurate answers
|
||||
# ✅ transformers – Fallback model using GPT-2
|
||||
# ✅ Python I/O – Simple interactive CLI using input/print
|
||||
# """
|
||||
|
||||
# ============================
|
||||
# 4. 🔐 Set OpenAI API Key
|
||||
# ============================
|
||||
import os
|
||||
os.environ['OPENAI_API_KEY'] = input('Enter your OpenAI API key: ')
|
||||
|
||||
# ================================
|
||||
# 5. 🧠 Initialize AI Agent + Fallback
|
||||
# ================================
|
||||
from praisonaiagents import Agent
|
||||
from transformers import pipeline as hf_pipeline
|
||||
import openai
|
||||
|
||||
openai.api_key = os.getenv('OPENAI_API_KEY')
|
||||
hf_chatbot = hf_pipeline('text-generation', model='gpt2')
|
||||
|
||||
agent = Agent(instructions='You are a friendly tutor. Answer learner questions clearly and helpfully.')
|
||||
|
||||
def chat_with_ai(user_input):
|
||||
try:
|
||||
return agent.start(user_input)
|
||||
except Exception as e:
|
||||
print('[Fallback GPT-2]', e)
|
||||
return hf_chatbot(user_input, max_length=100)[0]['generated_text']
|
||||
|
||||
# ============================
|
||||
# 6. 💬 Interactive Chat Loop
|
||||
# ============================
|
||||
print("Start chatting with your AI tutor! Type 'exit' to quit.")
|
||||
while True:
|
||||
user_input = input('You: ')
|
||||
if user_input.lower() in ['exit', 'quit']:
|
||||
print('Goodbye! Happy learning!')
|
||||
break
|
||||
response = chat_with_ai(user_input)
|
||||
print('🤖 Tutor:', response)
|
||||
@@ -0,0 +1,69 @@
|
||||
# ===============================
|
||||
# 1. 📘 Project Title & Purpose
|
||||
# ===============================
|
||||
# """
|
||||
# AI‑Powered Personalized Learning Assistant with Smart Content Chatbot
|
||||
|
||||
# This assistant helps users learn any topic by chatting with an AI tutor.
|
||||
# It uses PraisonAI Agents, OpenAI API, and Transformers to deliver answers clearly.
|
||||
# """
|
||||
|
||||
# ============================
|
||||
# 2. 📦 Dependencies Required
|
||||
# ============================
|
||||
# """
|
||||
# Required Libraries:
|
||||
# - praisonaiagents
|
||||
# - openai
|
||||
# - transformers
|
||||
|
||||
# Make sure to install these in Colab or terminal:
|
||||
# !pip install praisonaiagents openai transformers
|
||||
# """
|
||||
|
||||
# =====================
|
||||
# 3. 🧰 Tools Used
|
||||
# =====================
|
||||
# """
|
||||
# ✅ praisonaiagents – Builds the smart tutoring agent
|
||||
# ✅ openai – Uses OpenAI GPT for accurate answers
|
||||
# ✅ transformers – Fallback model using GPT-2
|
||||
# ✅ Python I/O – Simple interactive CLI using input/print
|
||||
# """
|
||||
|
||||
# ============================
|
||||
# 4. 🔐 Set OpenAI API Key
|
||||
# ============================
|
||||
import os
|
||||
os.environ['OPENAI_API_KEY'] = input('Enter your OpenAI API key: ')
|
||||
|
||||
# ================================
|
||||
# 5. 🧠 Initialize AI Agent + Fallback
|
||||
# ================================
|
||||
from praisonaiagents import Agent
|
||||
from transformers import pipeline as hf_pipeline
|
||||
import openai
|
||||
|
||||
openai.api_key = os.getenv('OPENAI_API_KEY')
|
||||
hf_chatbot = hf_pipeline('text-generation', model='gpt2')
|
||||
|
||||
agent = Agent(instructions='You are a friendly tutor. Answer learner questions clearly and helpfully.')
|
||||
|
||||
def chat_with_ai(user_input):
|
||||
try:
|
||||
return agent.start(user_input)
|
||||
except Exception as e:
|
||||
print('[Fallback GPT-2]', e)
|
||||
return hf_chatbot(user_input, max_length=100)[0]['generated_text']
|
||||
|
||||
# ============================
|
||||
# 6. 💬 Interactive Chat Loop
|
||||
# ============================
|
||||
print("Start chatting with your AI tutor! Type 'exit' to quit.")
|
||||
while True:
|
||||
user_input = input('You: ')
|
||||
if user_input.lower() in ['exit', 'quit']:
|
||||
print('Goodbye! Happy learning!')
|
||||
break
|
||||
response = chat_with_ai(user_input)
|
||||
print('🤖 Tutor:', response)
|
||||
@@ -364,6 +364,7 @@ class Agent:
|
||||
knowledge_config: Optional[Dict[str, Any]] = None,
|
||||
use_system_prompt: Optional[bool] = True,
|
||||
markdown: bool = True,
|
||||
stream: bool = True,
|
||||
self_reflect: bool = False,
|
||||
max_reflect: int = 3,
|
||||
min_reflect: int = 1,
|
||||
@@ -372,7 +373,9 @@ class Agent:
|
||||
user_id: Optional[str] = None,
|
||||
reasoning_steps: bool = False,
|
||||
guardrail: Optional[Union[Callable[['TaskOutput'], Tuple[bool, Any]], str]] = None,
|
||||
max_guardrail_retries: int = 3
|
||||
max_guardrail_retries: int = 3,
|
||||
base_url: Optional[str] = None,
|
||||
api_key: Optional[str] = None
|
||||
):
|
||||
"""Initialize an Agent instance.
|
||||
|
||||
@@ -435,6 +438,8 @@ class Agent:
|
||||
conversations to establish agent behavior and context. Defaults to True.
|
||||
markdown (bool, optional): Enable markdown formatting in agent responses for better
|
||||
readability and structure. Defaults to True.
|
||||
stream (bool, optional): Enable streaming responses from the language model. Set to False
|
||||
for LLM providers that don't support streaming. Defaults to True.
|
||||
self_reflect (bool, optional): Enable self-reflection capabilities where the agent
|
||||
evaluates and improves its own responses. Defaults to False.
|
||||
max_reflect (int, optional): Maximum number of self-reflection iterations to prevent
|
||||
@@ -454,6 +459,10 @@ class Agent:
|
||||
description string for LLM-based validation. Defaults to None.
|
||||
max_guardrail_retries (int, optional): Maximum number of retry attempts when guardrail
|
||||
validation fails before giving up. Defaults to 3.
|
||||
base_url (Optional[str], optional): Base URL for custom LLM endpoints (e.g., Ollama).
|
||||
If provided, automatically creates a custom LLM instance. Defaults to None.
|
||||
api_key (Optional[str], optional): API key for LLM provider. If not provided,
|
||||
falls back to environment variables. Defaults to None.
|
||||
|
||||
Raises:
|
||||
ValueError: If all of name, role, goal, backstory, and instructions are None.
|
||||
@@ -500,10 +509,40 @@ class Agent:
|
||||
# Check for model name in environment variable if not provided
|
||||
self._using_custom_llm = False
|
||||
|
||||
# If the user passes a dictionary (for advanced configuration)
|
||||
if isinstance(llm, dict) and "model" in llm:
|
||||
# If base_url is provided, always create a custom LLM instance
|
||||
if base_url:
|
||||
try:
|
||||
from ..llm.llm import LLM
|
||||
# Handle different llm parameter types with base_url
|
||||
if isinstance(llm, dict):
|
||||
# Merge base_url and api_key into the dict
|
||||
llm_config = llm.copy()
|
||||
llm_config['base_url'] = base_url
|
||||
if api_key:
|
||||
llm_config['api_key'] = api_key
|
||||
self.llm_instance = LLM(**llm_config)
|
||||
else:
|
||||
# Create LLM with model string and base_url
|
||||
model_name = llm or os.getenv('OPENAI_MODEL_NAME', 'gpt-4o')
|
||||
self.llm_instance = LLM(
|
||||
model=model_name,
|
||||
base_url=base_url,
|
||||
api_key=api_key
|
||||
)
|
||||
self._using_custom_llm = True
|
||||
except ImportError as e:
|
||||
raise ImportError(
|
||||
"LLM features requested but dependencies not installed. "
|
||||
"Please install with: pip install \"praisonaiagents[llm]\""
|
||||
) from e
|
||||
# If the user passes a dictionary (for advanced configuration)
|
||||
elif isinstance(llm, dict) and "model" in llm:
|
||||
try:
|
||||
from ..llm.llm import LLM
|
||||
# Add api_key if provided and not in dict
|
||||
if api_key and 'api_key' not in llm:
|
||||
llm = llm.copy()
|
||||
llm['api_key'] = api_key
|
||||
self.llm_instance = LLM(**llm) # Pass all dict items as kwargs
|
||||
self._using_custom_llm = True
|
||||
except ImportError as e:
|
||||
@@ -516,7 +555,10 @@ class Agent:
|
||||
try:
|
||||
from ..llm.llm import LLM
|
||||
# Pass the entire string so LiteLLM can parse provider/model
|
||||
self.llm_instance = LLM(model=llm)
|
||||
llm_params = {'model': llm}
|
||||
if api_key:
|
||||
llm_params['api_key'] = api_key
|
||||
self.llm_instance = LLM(**llm_params)
|
||||
self._using_custom_llm = True
|
||||
|
||||
# Ensure tools are properly accessible when using custom LLM
|
||||
@@ -554,6 +596,7 @@ class Agent:
|
||||
self.use_system_prompt = use_system_prompt
|
||||
self.chat_history = []
|
||||
self.markdown = markdown
|
||||
self.stream = stream
|
||||
self.max_reflect = max_reflect
|
||||
self.min_reflect = min_reflect
|
||||
self.reflect_prompt = reflect_prompt
|
||||
@@ -1002,7 +1045,7 @@ Your Goal: {self.goal}
|
||||
tools=formatted_tools if formatted_tools else None,
|
||||
verbose=self.verbose,
|
||||
markdown=self.markdown,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
console=self.console,
|
||||
execute_tool_fn=self.execute_tool,
|
||||
agent_name=self.name,
|
||||
@@ -1018,7 +1061,7 @@ Your Goal: {self.goal}
|
||||
tools=formatted_tools if formatted_tools else None,
|
||||
verbose=self.verbose,
|
||||
markdown=self.markdown,
|
||||
stream=False,
|
||||
stream=stream,
|
||||
console=self.console,
|
||||
execute_tool_fn=self.execute_tool,
|
||||
agent_name=self.name,
|
||||
@@ -1276,7 +1319,7 @@ Your Goal: {self.goal}
|
||||
agent_tools=agent_tools
|
||||
)
|
||||
|
||||
response = self._chat_completion(messages, temperature=temperature, tools=tools if tools else None, reasoning_steps=reasoning_steps, stream=stream)
|
||||
response = self._chat_completion(messages, temperature=temperature, tools=tools if tools else None, reasoning_steps=reasoning_steps, stream=self.stream)
|
||||
if not response:
|
||||
return None
|
||||
|
||||
@@ -1371,7 +1414,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
|
||||
logging.debug(f"{self.name} reflection count {reflection_count + 1}, continuing reflection process")
|
||||
messages.append({"role": "user", "content": "Now regenerate your response using the reflection you made"})
|
||||
response = self._chat_completion(messages, temperature=temperature, tools=None, stream=stream)
|
||||
response = self._chat_completion(messages, temperature=temperature, tools=None, stream=self.stream)
|
||||
response_text = response.choices[0].message.content.strip()
|
||||
reflection_count += 1
|
||||
continue # Continue the loop for more reflections
|
||||
|
||||
@@ -296,6 +296,7 @@ class LLM:
|
||||
agent_role: Optional[str] = None,
|
||||
agent_tools: Optional[List[str]] = None,
|
||||
execute_tool_fn: Optional[Callable] = None,
|
||||
stream: bool = True,
|
||||
**kwargs
|
||||
) -> str:
|
||||
"""Enhanced get_response with all OpenAI-like features"""
|
||||
@@ -487,7 +488,7 @@ class LLM:
|
||||
messages=messages,
|
||||
tools=formatted_tools,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
**kwargs
|
||||
)
|
||||
):
|
||||
@@ -503,7 +504,7 @@ class LLM:
|
||||
messages=messages,
|
||||
tools=formatted_tools,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
**kwargs
|
||||
)
|
||||
):
|
||||
@@ -655,7 +656,7 @@ class LLM:
|
||||
**self._build_completion_params(
|
||||
messages=follow_up_messages,
|
||||
temperature=temperature,
|
||||
stream=True
|
||||
stream=stream
|
||||
)
|
||||
):
|
||||
if chunk and chunk.choices and chunk.choices[0].delta.content:
|
||||
@@ -668,7 +669,7 @@ class LLM:
|
||||
**self._build_completion_params(
|
||||
messages=follow_up_messages,
|
||||
temperature=temperature,
|
||||
stream=True
|
||||
stream=stream
|
||||
)
|
||||
):
|
||||
if chunk and chunk.choices and chunk.choices[0].delta.content:
|
||||
@@ -755,7 +756,7 @@ class LLM:
|
||||
messages=messages,
|
||||
tools=formatted_tools,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
**kwargs
|
||||
)
|
||||
):
|
||||
@@ -873,7 +874,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=reflection_messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
response_format={"type": "json_object"},
|
||||
**{k:v for k,v in kwargs.items() if k != 'reasoning_steps'}
|
||||
)
|
||||
@@ -888,7 +889,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=reflection_messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
response_format={"type": "json_object"},
|
||||
**{k:v for k,v in kwargs.items() if k != 'reasoning_steps'}
|
||||
)
|
||||
@@ -1004,6 +1005,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
agent_role: Optional[str] = None,
|
||||
agent_tools: Optional[List[str]] = None,
|
||||
execute_tool_fn: Optional[Callable] = None,
|
||||
stream: bool = True,
|
||||
**kwargs
|
||||
) -> str:
|
||||
"""Async version of get_response with identical functionality."""
|
||||
@@ -1204,7 +1206,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
**kwargs
|
||||
)
|
||||
):
|
||||
@@ -1218,7 +1220,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
**kwargs
|
||||
)
|
||||
):
|
||||
@@ -1355,7 +1357,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=follow_up_messages,
|
||||
temperature=temperature,
|
||||
stream=True
|
||||
stream=stream
|
||||
)
|
||||
):
|
||||
if chunk and chunk.choices and chunk.choices[0].delta.content:
|
||||
@@ -1369,7 +1371,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=follow_up_messages,
|
||||
temperature=temperature,
|
||||
stream=True
|
||||
stream=stream
|
||||
)
|
||||
):
|
||||
if chunk and chunk.choices and chunk.choices[0].delta.content:
|
||||
@@ -1437,7 +1439,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
tools=formatted_tools,
|
||||
**{k:v for k,v in kwargs.items() if k != 'reasoning_steps'}
|
||||
)
|
||||
@@ -1453,7 +1455,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
**{k:v for k,v in kwargs.items() if k != 'reasoning_steps'}
|
||||
)
|
||||
):
|
||||
@@ -1534,7 +1536,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=reflection_messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
response_format={"type": "json_object"},
|
||||
**{k:v for k,v in kwargs.items() if k != 'reasoning_steps'}
|
||||
)
|
||||
@@ -1549,7 +1551,7 @@ Output MUST be JSON with 'reflection' and 'satisfactory'.
|
||||
**self._build_completion_params(
|
||||
messages=reflection_messages,
|
||||
temperature=temperature,
|
||||
stream=True,
|
||||
stream=stream,
|
||||
response_format={"type": "json_object"},
|
||||
**{k:v for k,v in kwargs.items() if k != 'reasoning_steps'}
|
||||
)
|
||||
|
||||
@@ -379,6 +379,43 @@ class MCP:
|
||||
"""
|
||||
return iter(self._tools)
|
||||
|
||||
def _fix_array_schemas(self, schema):
|
||||
"""
|
||||
Fix array schemas by adding missing 'items' attribute required by OpenAI.
|
||||
|
||||
This ensures compatibility with OpenAI's function calling format which
|
||||
requires array types to specify the type of items they contain.
|
||||
|
||||
Args:
|
||||
schema: The schema dictionary to fix
|
||||
|
||||
Returns:
|
||||
dict: The fixed schema
|
||||
"""
|
||||
if not isinstance(schema, dict):
|
||||
return schema
|
||||
|
||||
# Create a copy to avoid modifying the original
|
||||
fixed_schema = schema.copy()
|
||||
|
||||
# Fix array types at the current level
|
||||
if fixed_schema.get("type") == "array" and "items" not in fixed_schema:
|
||||
# Add a default items schema for arrays without it
|
||||
fixed_schema["items"] = {"type": "string"}
|
||||
|
||||
# Recursively fix nested schemas
|
||||
if "properties" in fixed_schema:
|
||||
fixed_properties = {}
|
||||
for prop_name, prop_schema in fixed_schema["properties"].items():
|
||||
fixed_properties[prop_name] = self._fix_array_schemas(prop_schema)
|
||||
fixed_schema["properties"] = fixed_properties
|
||||
|
||||
# Fix items schema if it exists
|
||||
if "items" in fixed_schema:
|
||||
fixed_schema["items"] = self._fix_array_schemas(fixed_schema["items"])
|
||||
|
||||
return fixed_schema
|
||||
|
||||
def to_openai_tool(self):
|
||||
"""Convert the MCP tool to an OpenAI-compatible tool definition.
|
||||
|
||||
@@ -404,7 +441,8 @@ class MCP:
|
||||
# Create OpenAI tool definition
|
||||
parameters = {}
|
||||
if hasattr(tool, 'inputSchema') and tool.inputSchema:
|
||||
parameters = tool.inputSchema
|
||||
# Fix array schemas to include 'items' attribute
|
||||
parameters = self._fix_array_schemas(tool.inputSchema)
|
||||
else:
|
||||
# Create a minimal schema if none exists
|
||||
parameters = {
|
||||
|
||||
@@ -88,14 +88,54 @@ class SSEMCPTool:
|
||||
logger.error(f"Error in _async_call for {self.name}: {e}")
|
||||
raise
|
||||
|
||||
def _fix_array_schemas(self, schema):
|
||||
"""
|
||||
Fix array schemas by adding missing 'items' attribute required by OpenAI.
|
||||
|
||||
This ensures compatibility with OpenAI's function calling format which
|
||||
requires array types to specify the type of items they contain.
|
||||
|
||||
Args:
|
||||
schema: The schema dictionary to fix
|
||||
|
||||
Returns:
|
||||
dict: The fixed schema
|
||||
"""
|
||||
if not isinstance(schema, dict):
|
||||
return schema
|
||||
|
||||
# Create a copy to avoid modifying the original
|
||||
fixed_schema = schema.copy()
|
||||
|
||||
# Fix array types at the current level
|
||||
if fixed_schema.get("type") == "array" and "items" not in fixed_schema:
|
||||
# Add a default items schema for arrays without it
|
||||
fixed_schema["items"] = {"type": "string"}
|
||||
|
||||
# Recursively fix nested schemas
|
||||
if "properties" in fixed_schema:
|
||||
fixed_properties = {}
|
||||
for prop_name, prop_schema in fixed_schema["properties"].items():
|
||||
fixed_properties[prop_name] = self._fix_array_schemas(prop_schema)
|
||||
fixed_schema["properties"] = fixed_properties
|
||||
|
||||
# Fix items schema if it exists
|
||||
if "items" in fixed_schema:
|
||||
fixed_schema["items"] = self._fix_array_schemas(fixed_schema["items"])
|
||||
|
||||
return fixed_schema
|
||||
|
||||
def to_openai_tool(self):
|
||||
"""Convert the tool to OpenAI format."""
|
||||
# Fix array schemas to include 'items' attribute
|
||||
fixed_schema = self._fix_array_schemas(self.input_schema)
|
||||
|
||||
return {
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": self.name,
|
||||
"description": self.description,
|
||||
"parameters": self.input_schema
|
||||
"parameters": fixed_schema
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "praisonaiagents"
|
||||
version = "0.0.107"
|
||||
version = "0.0.109"
|
||||
description = "Praison AI agents for completing complex tasks with Self Reflection Agents"
|
||||
requires-python = ">=3.10"
|
||||
authors = [
|
||||
|
||||
@@ -1,36 +1,23 @@
|
||||
from praisonaiagents import Agent, Task, PraisonAIAgents
|
||||
from praisonaiagents.tools import (
|
||||
read_file, write_file, list_files, get_file_info,
|
||||
copy_file, move_file, delete_file
|
||||
from dotenv import load_dotenv
|
||||
from praisonaiagents import Agent, MCP
|
||||
|
||||
# Load .env before importing anything else
|
||||
load_dotenv()
|
||||
|
||||
# Define allowed directories for filesystem access
|
||||
allowed_dirs = [
|
||||
"/Users/praison/praisonai-package/src/praisonai-agents",
|
||||
]
|
||||
|
||||
# Use the correct pattern from filesystem MCP documentation
|
||||
filesystem_agent = Agent(
|
||||
instructions="""You are a helpful assistant that can interact with the filesystem.
|
||||
Use the available tools when relevant to manage files and directories.""",
|
||||
llm="gpt-4o-mini",
|
||||
tools=MCP(
|
||||
command="npx",
|
||||
args=["-y", "@modelcontextprotocol/server-filesystem"] + allowed_dirs
|
||||
)
|
||||
)
|
||||
|
||||
# Get user input
|
||||
d = input("Demande: ")
|
||||
|
||||
# Create file manager agent
|
||||
file_manager_agent = Agent(
|
||||
name="FileManager",
|
||||
tools=[read_file, write_file, list_files, get_file_info,
|
||||
copy_file, move_file, delete_file],
|
||||
llm={
|
||||
"model": "ollama/llama3.2",
|
||||
"base_url": "http://localhost:11434" # Ollama default
|
||||
}
|
||||
)
|
||||
|
||||
# Dynamically create a task based on input
|
||||
file_task = Task(
|
||||
name="Q",
|
||||
description=f"faire '{d}'.",
|
||||
expected_output=f"'{d}' bien fait.",
|
||||
agent=file_manager_agent
|
||||
)
|
||||
|
||||
# Run agent with the task
|
||||
agents = PraisonAIAgents(
|
||||
agents=[file_manager_agent],
|
||||
tasks=[file_task],
|
||||
process="sequential"
|
||||
)
|
||||
|
||||
agents.start()
|
||||
filesystem_agent.start("List files in /Users/praison/praisonai-package/src/praisonai-agents directory using MCP list_files")
|
||||
Generated
+1
-1
@@ -2375,7 +2375,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "praisonaiagents"
|
||||
version = "0.0.107"
|
||||
version = "0.0.109"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "mcp" },
|
||||
|
||||
@@ -3,8 +3,8 @@ class Praisonai < Formula
|
||||
|
||||
desc "AI tools for various AI applications"
|
||||
homepage "https://github.com/MervinPraison/PraisonAI"
|
||||
url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.34.tar.gz"
|
||||
sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.34.tar.gz | shasum -a 256`.split.first
|
||||
url "https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.36.tar.gz"
|
||||
sha256 `curl -sL https://github.com/MervinPraison/PraisonAI/archive/refs/tags/v2.2.36.tar.gz | shasum -a 256`.split.first
|
||||
license "MIT"
|
||||
|
||||
depends_on "[email protected]"
|
||||
|
||||
@@ -170,6 +170,25 @@ class PraisonAI:
|
||||
pass
|
||||
return None
|
||||
|
||||
def read_file_if_provided(self, file_path):
|
||||
"""
|
||||
Read content from a file if the file path is provided.
|
||||
Returns the file content or None if file cannot be read.
|
||||
"""
|
||||
if not file_path:
|
||||
return None
|
||||
|
||||
try:
|
||||
with open(file_path, 'r', encoding='utf-8') as f:
|
||||
file_content = f.read().strip()
|
||||
return file_content if file_content else None
|
||||
except FileNotFoundError:
|
||||
print(f"[red]ERROR: File not found: {file_path}[/red]")
|
||||
sys.exit(1)
|
||||
except Exception as e:
|
||||
print(f"[red]ERROR: Failed to read file: {e}[/red]")
|
||||
sys.exit(1)
|
||||
|
||||
def main(self):
|
||||
"""
|
||||
The main function of the PraisonAI object. It parses the command-line arguments,
|
||||
@@ -189,15 +208,24 @@ class PraisonAI:
|
||||
|
||||
# Check for piped input from stdin
|
||||
stdin_input = self.read_stdin_if_available()
|
||||
|
||||
# Check for file input if --file is provided
|
||||
file_input = self.read_file_if_provided(getattr(args, 'file', None))
|
||||
|
||||
if args.command:
|
||||
if args.command.startswith("tests.test") or args.command.startswith("tests/test"): # Argument used for testing purposes
|
||||
print("test")
|
||||
return "test"
|
||||
else:
|
||||
# If stdin input is available, append it to the command
|
||||
# Combine command with any available inputs (stdin and/or file)
|
||||
combined_inputs = []
|
||||
if stdin_input:
|
||||
combined_prompt = f"{args.command} {stdin_input}"
|
||||
combined_inputs.append(stdin_input)
|
||||
if file_input:
|
||||
combined_inputs.append(file_input)
|
||||
|
||||
if combined_inputs:
|
||||
combined_prompt = f"{args.command} {' '.join(combined_inputs)}"
|
||||
result = self.handle_direct_prompt(combined_prompt)
|
||||
print(result)
|
||||
return result
|
||||
@@ -206,20 +234,30 @@ class PraisonAI:
|
||||
elif hasattr(args, 'direct_prompt') and args.direct_prompt:
|
||||
# Only handle direct prompt if agent_file wasn't explicitly set in constructor
|
||||
if original_agent_file == "agents.yaml": # Default value, so safe to use direct prompt
|
||||
# If stdin input is available, append it to the direct prompt
|
||||
prompt = args.direct_prompt
|
||||
# Combine direct prompt with any available inputs (stdin and/or file)
|
||||
prompt_parts = [args.direct_prompt]
|
||||
if stdin_input:
|
||||
prompt = f"{args.direct_prompt} {stdin_input}"
|
||||
prompt_parts.append(stdin_input)
|
||||
if file_input:
|
||||
prompt_parts.append(file_input)
|
||||
prompt = ' '.join(prompt_parts)
|
||||
result = self.handle_direct_prompt(prompt)
|
||||
print(result)
|
||||
return result
|
||||
else:
|
||||
# Agent file was explicitly set, ignore direct prompt and use the file
|
||||
pass
|
||||
elif stdin_input:
|
||||
# If only stdin input is provided (no command), use it as direct prompt
|
||||
if original_agent_file == "agents.yaml": # Default value, so safe to use stdin as prompt
|
||||
result = self.handle_direct_prompt(stdin_input)
|
||||
elif stdin_input or file_input:
|
||||
# If only stdin/file input is provided (no command), use it as direct prompt
|
||||
if original_agent_file == "agents.yaml": # Default value, so safe to use input as prompt
|
||||
# Combine any available inputs
|
||||
inputs = []
|
||||
if stdin_input:
|
||||
inputs.append(stdin_input)
|
||||
if file_input:
|
||||
inputs.append(file_input)
|
||||
combined_input = ' '.join(inputs)
|
||||
result = self.handle_direct_prompt(combined_input)
|
||||
print(result)
|
||||
return result
|
||||
# If no command or direct_prompt, preserve agent_file from constructor (don't overwrite)
|
||||
@@ -530,6 +568,7 @@ class PraisonAI:
|
||||
parser.add_argument("--public", action="store_true", help="Use ngrok to expose the server publicly (only with --call)")
|
||||
parser.add_argument("--merge", action="store_true", help="Merge existing agents.yaml with auto-generated agents instead of overwriting")
|
||||
parser.add_argument("--claudecode", action="store_true", help="Enable Claude Code integration for file modifications and coding tasks")
|
||||
parser.add_argument("--file", "-f", type=str, help="Read input from a file and append it to the prompt")
|
||||
|
||||
# If we're in a test environment, parse with empty args to avoid pytest interference
|
||||
if in_test_env:
|
||||
|
||||
@@ -56,7 +56,7 @@ class CloudDeployer:
|
||||
file.write("FROM python:3.11-slim\n")
|
||||
file.write("WORKDIR /app\n")
|
||||
file.write("COPY . .\n")
|
||||
file.write("RUN pip install flask praisonai==2.2.34 gunicorn markdown\n")
|
||||
file.write("RUN pip install flask praisonai==2.2.36 gunicorn markdown\n")
|
||||
file.write("EXPOSE 8080\n")
|
||||
file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
|
||||
|
||||
|
||||
@@ -467,10 +467,12 @@ async def ui_run_praisonai(config, topic, tools_dict):
|
||||
role_tools.append(callable_func)
|
||||
# Add API tool definition to task's tools
|
||||
task_tools.append(tool_def)
|
||||
# Also set the agent's tools to include both
|
||||
agent.tools = role_tools
|
||||
else:
|
||||
logger.warning(f"Tool '{tool_name}' not found. Skipping.")
|
||||
|
||||
# Set the agent's tools after collecting all tools
|
||||
if role_tools:
|
||||
agent.tools = role_tools
|
||||
|
||||
for tname, tdetails in details.get('tasks', {}).items():
|
||||
description_filled = tdetails['description'].format(topic=topic)
|
||||
|
||||
@@ -7,6 +7,8 @@ import json
|
||||
import asyncio
|
||||
import io
|
||||
import base64
|
||||
import importlib.util
|
||||
import inspect
|
||||
|
||||
# Third-party imports
|
||||
from dotenv import load_dotenv
|
||||
@@ -59,6 +61,76 @@ def load_setting(key: str) -> str:
|
||||
|
||||
cl_data._data_layer = db_manager
|
||||
|
||||
def load_custom_tools():
|
||||
"""Load custom tools from tools.py if it exists"""
|
||||
custom_tools = {}
|
||||
try:
|
||||
spec = importlib.util.spec_from_file_location("tools", "tools.py")
|
||||
if spec is None:
|
||||
logger.debug("tools.py not found in current directory")
|
||||
return custom_tools
|
||||
|
||||
module = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(module)
|
||||
|
||||
# Load all functions from tools.py
|
||||
for name, obj in inspect.getmembers(module):
|
||||
if not name.startswith('_') and callable(obj) and not inspect.isclass(obj):
|
||||
# Store function in globals for access
|
||||
globals()[name] = obj
|
||||
|
||||
# Get function signature to build parameters
|
||||
sig = inspect.signature(obj)
|
||||
params_properties = {}
|
||||
required_params = []
|
||||
|
||||
for param_name, param in sig.parameters.items():
|
||||
if param_name != 'self': # Skip self parameter
|
||||
# Get type annotation if available
|
||||
param_type = "string" # Default type
|
||||
if param.annotation != inspect.Parameter.empty:
|
||||
if param.annotation == int:
|
||||
param_type = "integer"
|
||||
elif param.annotation == float:
|
||||
param_type = "number"
|
||||
elif param.annotation == bool:
|
||||
param_type = "boolean"
|
||||
|
||||
params_properties[param_name] = {
|
||||
"type": param_type,
|
||||
"description": f"Parameter {param_name}"
|
||||
}
|
||||
|
||||
# Add to required if no default value
|
||||
if param.default == inspect.Parameter.empty:
|
||||
required_params.append(param_name)
|
||||
|
||||
# Build tool definition
|
||||
tool_def = {
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": name,
|
||||
"description": obj.__doc__ or f"Function {name.replace('_', ' ')}",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": params_properties,
|
||||
"required": required_params
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
custom_tools[name] = tool_def
|
||||
logger.info(f"Loaded custom tool: {name}")
|
||||
|
||||
logger.info(f"Loaded {len(custom_tools)} custom tools from tools.py")
|
||||
except Exception as e:
|
||||
logger.warning(f"Error loading custom tools: {e}")
|
||||
|
||||
return custom_tools
|
||||
|
||||
# Load custom tools
|
||||
custom_tools_dict = load_custom_tools()
|
||||
|
||||
tavily_api_key = os.getenv("TAVILY_API_KEY")
|
||||
tavily_client = TavilyClient(api_key=tavily_api_key) if tavily_api_key else None
|
||||
|
||||
@@ -72,7 +144,7 @@ async def tavily_web_search(query):
|
||||
response = tavily_client.search(query)
|
||||
logger.debug(f"Tavily search response: {response}")
|
||||
|
||||
async with AsyncAsyncWebCrawler() as crawler:
|
||||
async with AsyncWebCrawler() as crawler:
|
||||
results = []
|
||||
for result in response.get('results', []):
|
||||
url = result.get('url')
|
||||
@@ -97,20 +169,28 @@ async def tavily_web_search(query):
|
||||
"results": results
|
||||
})
|
||||
|
||||
tools = [{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "tavily_web_search",
|
||||
"description": "Search the web using Tavily API and crawl the resulting URLs",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {"type": "string", "description": "Search query"}
|
||||
},
|
||||
"required": ["query"]
|
||||
# Build tools list with Tavily and custom tools
|
||||
tools = []
|
||||
|
||||
# Add Tavily tool if API key is available
|
||||
if tavily_api_key:
|
||||
tools.append({
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "tavily_web_search",
|
||||
"description": "Search the web using Tavily API and crawl the resulting URLs",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {"type": "string", "description": "Search query"}
|
||||
},
|
||||
"required": ["query"]
|
||||
}
|
||||
}
|
||||
}
|
||||
}] if tavily_api_key else []
|
||||
})
|
||||
|
||||
# Add custom tools from tools.py
|
||||
tools.extend(list(custom_tools_dict.values()))
|
||||
|
||||
# Authentication configuration
|
||||
AUTH_PASSWORD_ENABLED = os.getenv("AUTH_PASSWORD_ENABLED", "true").lower() == "true" # Password authentication enabled by default
|
||||
@@ -235,7 +315,8 @@ User Question: {message.content}
|
||||
]
|
||||
}
|
||||
|
||||
if tavily_api_key:
|
||||
# Pass tools if we have any (Tavily or custom)
|
||||
if tools:
|
||||
completion_params["tools"] = tools
|
||||
completion_params["tool_choice"] = "auto"
|
||||
|
||||
@@ -254,7 +335,7 @@ User Question: {message.content}
|
||||
await msg.stream_token(token)
|
||||
full_response += token
|
||||
|
||||
if tavily_api_key and 'tool_calls' in delta and delta['tool_calls'] is not None:
|
||||
if tools and 'tool_calls' in delta and delta['tool_calls'] is not None:
|
||||
for tool_call in delta['tool_calls']:
|
||||
if current_tool_call is None or tool_call.index != current_tool_call['index']:
|
||||
if current_tool_call:
|
||||
@@ -284,10 +365,17 @@ User Question: {message.content}
|
||||
cl.user_session.set("message_history", message_history)
|
||||
await msg.update()
|
||||
|
||||
if tavily_api_key and tool_calls:
|
||||
available_functions = {
|
||||
"tavily_web_search": tavily_web_search,
|
||||
}
|
||||
if tool_calls and tools: # Check if we have any tools and tool calls
|
||||
available_functions = {}
|
||||
|
||||
# Add Tavily function if available
|
||||
if tavily_api_key:
|
||||
available_functions["tavily_web_search"] = tavily_web_search
|
||||
|
||||
# Add all custom tool functions from globals
|
||||
for tool_name in custom_tools_dict:
|
||||
if tool_name in globals():
|
||||
available_functions[tool_name] = globals()[tool_name]
|
||||
messages = message_history + [{"role": "assistant", "content": None, "function_call": {
|
||||
"name": tool_calls[0]['function']['name'],
|
||||
"arguments": tool_calls[0]['function']['arguments']
|
||||
@@ -301,9 +389,25 @@ User Question: {message.content}
|
||||
if function_args:
|
||||
try:
|
||||
function_args = json.loads(function_args)
|
||||
function_response = await function_to_call(
|
||||
query=function_args.get("query"),
|
||||
)
|
||||
|
||||
# Call function based on whether it's async or sync
|
||||
if asyncio.iscoroutinefunction(function_to_call):
|
||||
# For async functions like tavily_web_search
|
||||
if function_name == "tavily_web_search":
|
||||
function_response = await function_to_call(
|
||||
query=function_args.get("query"),
|
||||
)
|
||||
else:
|
||||
# For custom async functions, pass all arguments
|
||||
function_response = await function_to_call(**function_args)
|
||||
else:
|
||||
# For sync functions (most custom tools)
|
||||
function_response = function_to_call(**function_args)
|
||||
|
||||
# Convert response to string if needed
|
||||
if not isinstance(function_response, str):
|
||||
function_response = json.dumps(function_response)
|
||||
|
||||
messages.append(
|
||||
{
|
||||
"role": "function",
|
||||
@@ -313,6 +417,15 @@ User Question: {message.content}
|
||||
)
|
||||
except json.JSONDecodeError:
|
||||
logger.error(f"Failed to parse function arguments: {function_args}")
|
||||
except Exception as e:
|
||||
logger.error(f"Error calling function {function_name}: {str(e)}")
|
||||
messages.append(
|
||||
{
|
||||
"role": "function",
|
||||
"name": function_name,
|
||||
"content": f"Error: {str(e)}",
|
||||
}
|
||||
)
|
||||
|
||||
second_response = await acompletion(
|
||||
model=model_name,
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "PraisonAI"
|
||||
version = "2.2.34"
|
||||
version = "2.2.36"
|
||||
description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
|
||||
readme = "README.md"
|
||||
license = ""
|
||||
@@ -12,7 +12,7 @@ dependencies = [
|
||||
"rich>=13.7",
|
||||
"markdown>=3.5",
|
||||
"pyparsing>=3.0.0",
|
||||
"praisonaiagents>=0.0.107",
|
||||
"praisonaiagents>=0.0.109",
|
||||
"python-dotenv>=0.19.0",
|
||||
"instructor>=1.3.3",
|
||||
"PyYAML>=6.0",
|
||||
@@ -95,7 +95,7 @@ autogen = ["pyautogen>=0.2.19", "praisonai-tools>=0.0.15", "crewai"]
|
||||
|
||||
[tool.poetry]
|
||||
name = "PraisonAI"
|
||||
version = "2.2.34"
|
||||
version = "2.2.36"
|
||||
description = "PraisonAI is an AI Agents Framework with Self Reflection. PraisonAI application combines PraisonAI Agents, AutoGen, and CrewAI into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration."
|
||||
authors = ["Mervin Praison"]
|
||||
license = ""
|
||||
@@ -113,7 +113,7 @@ python = ">=3.10,<3.13"
|
||||
rich = ">=13.7"
|
||||
markdown = ">=3.5"
|
||||
pyparsing = ">=3.0.0"
|
||||
praisonaiagents = ">=0.0.107"
|
||||
praisonaiagents = ">=0.0.109"
|
||||
python-dotenv = ">=0.19.0"
|
||||
instructor = ">=1.3.3"
|
||||
PyYAML = ">=6.0"
|
||||
|
||||
@@ -0,0 +1,83 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Test script to verify the custom tools fix in chatbot integration.
|
||||
This demonstrates that agents can now use multiple custom tools when integrated into the chatbot.
|
||||
"""
|
||||
|
||||
import yaml
|
||||
import os
|
||||
|
||||
# Create a sample agents.yaml file
|
||||
agents_yaml_content = """
|
||||
roles:
|
||||
researcher:
|
||||
name: "Research Agent"
|
||||
role: "Information Researcher"
|
||||
goal: "Find and analyze information using multiple tools"
|
||||
backstory: "You are an expert researcher with access to multiple information sources"
|
||||
llm: "gpt-4o-mini"
|
||||
tools:
|
||||
- search_web
|
||||
- get_weather
|
||||
- calculate
|
||||
tasks:
|
||||
test_task:
|
||||
description: "Use all available tools to gather information about {topic}"
|
||||
expected_output: "A comprehensive report using data from all tools"
|
||||
"""
|
||||
|
||||
# Create a sample tools.py file
|
||||
tools_py_content = '''
|
||||
def search_web(query: str) -> str:
|
||||
"""Search the web for information.
|
||||
|
||||
Args:
|
||||
query: The search query
|
||||
|
||||
Returns:
|
||||
Search results
|
||||
"""
|
||||
return f"Web search results for: {query}"
|
||||
|
||||
def get_weather(location: str) -> str:
|
||||
"""Get weather information for a location.
|
||||
|
||||
Args:
|
||||
location: The location to get weather for
|
||||
|
||||
Returns:
|
||||
Weather information
|
||||
"""
|
||||
return f"Weather in {location}: Sunny, 25°C"
|
||||
|
||||
def calculate(expression: str) -> str:
|
||||
"""Perform a calculation.
|
||||
|
||||
Args:
|
||||
expression: Mathematical expression to evaluate
|
||||
|
||||
Returns:
|
||||
Calculation result
|
||||
"""
|
||||
try:
|
||||
result = eval(expression)
|
||||
return f"Result: {result}"
|
||||
except:
|
||||
return "Invalid expression"
|
||||
'''
|
||||
|
||||
# Write the test files
|
||||
with open("test_agents.yaml", "w") as f:
|
||||
f.write(agents_yaml_content)
|
||||
|
||||
with open("test_tools.py", "w") as f:
|
||||
f.write(tools_py_content)
|
||||
|
||||
print("Test files created successfully!")
|
||||
print("\nTo test the fix:")
|
||||
print("1. Copy test_agents.yaml to agents.yaml")
|
||||
print("2. Copy test_tools.py to tools.py")
|
||||
print("3. Run the chatbot UI")
|
||||
print("4. Ask the agent to use multiple tools")
|
||||
print("\nThe agent should now be able to use all three tools (search_web, get_weather, calculate)")
|
||||
print("instead of just the last one.")
|
||||
Generated
+5
-5
@@ -3932,7 +3932,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "praisonai"
|
||||
version = "2.2.34"
|
||||
version = "2.2.36"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "instructor" },
|
||||
@@ -4074,7 +4074,7 @@ requires-dist = [
|
||||
{ name = "plotly", marker = "extra == 'realtime'", specifier = ">=5.24.0" },
|
||||
{ name = "praisonai-tools", marker = "extra == 'autogen'", specifier = ">=0.0.15" },
|
||||
{ name = "praisonai-tools", marker = "extra == 'crewai'", specifier = ">=0.0.15" },
|
||||
{ name = "praisonaiagents", specifier = ">=0.0.107" },
|
||||
{ name = "praisonaiagents", specifier = ">=0.0.109" },
|
||||
{ name = "pyautogen", marker = "extra == 'autogen'", specifier = ">=0.2.19" },
|
||||
{ name = "pydantic", marker = "extra == 'chat'", specifier = "<=2.10.1" },
|
||||
{ name = "pydantic", marker = "extra == 'code'", specifier = "<=2.10.1" },
|
||||
@@ -4132,7 +4132,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "praisonaiagents"
|
||||
version = "0.0.107"
|
||||
version = "0.0.109"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "mcp" },
|
||||
@@ -4141,9 +4141,9 @@ dependencies = [
|
||||
{ name = "pydantic" },
|
||||
{ name = "rich" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/6b/f5/d7b04e915b45accc954c7686f190801136df2384f525aaeeeaef879475ee/praisonaiagents-0.0.107.tar.gz", hash = "sha256:fef3716c6a823177a67db0078b182f0f7db4ac876c89f52eca2daf3a5ee2ff44", size = 156531, upload-time = "2025-06-21T05:38:40.835Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c4/1e/e99db01581df3eb819d5f140433eea4cf99b7b152c288b9e60e121c4f676/praisonaiagents-0.0.109.tar.gz", hash = "sha256:133b9c0070a858cf5af46683e04fc8245543e02d411956e4c2a8cc894a55a7b1", size = 157598, upload-time = "2025-06-28T08:43:43.388Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/79/23/798795728508360681a7fc59016be5af3639a2032b15993a05b67d8686b0/praisonaiagents-0.0.107-py3-none-any.whl", hash = "sha256:80297b081eead50e2f1c32207e6cf8b18de3cb793b496f40a75918ea703e2445", size = 176812, upload-time = "2025-06-21T05:38:39.388Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7c/dc/5a88261b4879c9b8961b066909ab4f128cfcf81cc951d09c10ae9a1ad44b/praisonaiagents-0.0.109-py3-none-any.whl", hash = "sha256:d94cdea8d868dbe1baadb422c225a7e71efd2706c08c1a88d556c398ae57d042", size = 178224, upload-time = "2025-06-28T08:43:41.627Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in new issue
Block a user