diff --git a/README.md b/README.md index eb7ec3d..3533fb6 100644 --- a/README.md +++ b/README.md @@ -22,14 +22,14 @@ Rootflo is an alternative to Langgraph, and CrewAI. It lets you e


- Checkout the docs » + Checkout the docs »

Github • - Website + Website • - Roadmap + Roadmap

@@ -52,6 +52,13 @@ Flo AI is a Python framework that makes building production-ready AI agents and ## 🚀 Quick Start +FloAI follows an agent team architecture, where agents are the basic building blocks, and teams can have multiple agents and teams themselves can be part of bigger teams. + +Building a working agent or team involves 3 steps: +1. Create a session using `FloSession`, and register your tools and models +2. Define you agent/team/team of teams using yaml or code +3. Build and run using `Flo` + ### Installation ```bash @@ -60,11 +67,63 @@ pip install flo-ai poetry add flo-ai ``` +### Create Your First AI Agent in 30 secs + +```python +from flo_ai import Flo, FloSession +from langchain_openai import ChatOpenAI +from langchain_community.tools.tavily_search.tool import TavilySearchResults + +# init your LLM +llm = ChatOpenAI(temperature=0) + +# create a session and register your tools +session = FloSession(llm).register_tool(name="TavilySearchResults", tool=TavilySearchResults()) + +# define your agent yaml +simple_weather_checking_agent = """ +apiVersion: flo/alpha-v1 +kind: FloAgent +name: weather-assistant +agent: + name: WeatherAssistant + job: > + Given the city name you are capable of answering the latest whether this time of the year by searching the internet + tools: + - name: InternetSearchTool +""" +flo = Flo.build(session, yaml=simple_weather_checking_agent) + +# Start streaming results +for response in flo.stream("Write about recent AI developments"): + print(response) +``` + +## Lets create the same agent using code + +```python +from flo_ai import FloAgent + +session = FloSession(llm) + +weather_agent = FloAgent.create( + session=session, + name="WeatherAssistant", + job="Given the city name you are capable of answering the latest whether this time of the year by searching the internet", + tools=[TavilySearchResults()] +) + +agent_flo: Flo = Flo.create(session, weather_agent) +result = agent_flo.invoke("Whats the whether in New Delhi, India ?") +``` + ### Create Your First AI Team in 30 Seconds ```python from flo_ai import Flo, FloSession from langchain_openai import ChatOpenAI +from langchain_community.tools.tavily_search.tool import TavilySearchResults + # Define your team in YAML yaml_config = """ @@ -97,12 +156,93 @@ for response in flo.stream("Write about recent AI developments"): print(response) ``` +**Note:** You can make each of the above agents including the router to different models, giving flexibility to combine the power of different LLMs. +To know more, check multi-model integration in detailed [documentation](https://flo-ai.rootflo.ai) + +### Lets Create a AI team using code + +```python +from flo_ai import FloSupervisor, FloAgent, FloSession, FloTeam, FloLinear +from langchain_openai import ChatOpenAI +from langchain_community.tools.tavily_search.tool import TavilySearchResults + +llm = ChatOpenAI(temperature=0, model_name='gpt-4o') +session = FloSession(llm).register_tool( + name="TavilySearchResults", + tool=TavilySearchResults() +) + +researcher = FloAgent.create( + session, + name="Researcher", + role="Internet Researcher", # optional + job="Do a research on the internet and find articles of relevent to the topic asked by the user", + tools=[TavilySearchResults()] +) + +blogger = FloAgent.create( + session, + name="BlogWriter", + role="Thought Leader", # optional + job="Able to write a blog using information provided", + tools=[TavilySearchResults()] +) + +marketing_team = FloTeam.create(session, "Marketing", [researcher, blogger]) +head_of_marketing = FloSupervisor.create(session, "Head-of-Marketing", marketing_team) +marketing_flo = Flo.create(session, routed_team=head_of_marketing) + +``` + +## Tools + +FloAI supports all the tools built and available in `langchain_community` package. To know more these tools, go [here](https://python.langchain.com/docs/integrations/tools/). + +Along with that FloAI has a decorator `@flotool` which makes any function into a tool. + +Creating a simple tool using `@flotool`: + +```python +from flo_ai import flotool +from pydantic import BaseModel, Field + +# define argument schema +class AdditionToolInput(BaseModel): + numbers: List[int] = Field(..., description='List of numbers to add') + +@flotool(name='AdditionTool', description='Tool to add numbers') +async def addition_tool(numbers: List[int]) -> str: + result = sum(numbers) + await asyncio.sleep(1) + return f'The sum is {result}' + +# async tools can also be defined +# when using async tool, while running the flo use async invoke +@flotool( + name='MultiplicationTool', + description='Tool to multiply numbers to get product of numbers', +) +async def mul_tool(numbers: List[int]) -> str: + result = sum(numbers) + await asyncio.sleep(1) + return f'The product is {result}' + +# register your tool or use directly in code impl +session.register_tool(name='Adder', tool=addition_tool) +``` + +**Note:** `@flotool` comes with inherent error handling capabilities to retry if an exception is thrown. Use `unsafe=True` to disable error handling + ## 📖 Documentation Visit our [comprehensive documentation](https://flo-ai.rootflo.ai) for: - Detailed tutorials - Architecture deep-dives - API reference + - Logging + - Error handling + - Observers + - Dynamic model switching - Best practices - Advanced examples @@ -145,10 +285,27 @@ Built with ❤️ using: - [LangChain](https://github.com/hwchase17/langchain) - [LangGraph](https://github.com/langchain-ai/langgraph) +

📚 Latest Blog Posts

+ +
+ + +

Flo: 🔥🔥🔥 Simple way to create composable AI agents
Unlock the Power of Customizable AI Workflows with FloAI’s Intuitive and Flexible Agentic Framework

+ + + +

Build an Agentic AI customer support bot using FloAI
We built an open-source agentic AI workflow builder named FloAI and used it to create an agentic customer support agent.

+ + + +

Build an Agentic RAG using FloAI in minutes
FloAI has just made implementing agentic RAG simple and easy to manage

+ +
+ ---
- Built with ❤️ by the Rootflo team + Built with ❤️ by the rootflo team
Community • Documentation
diff --git a/ROADMAP.md b/ROADMAP.md index 241941b..636e934 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -8,11 +8,11 @@ Core features improve the library itself to cater wider range of functionalities | Name | Description | Status | Release version | |------|-------------|--------|-----------------| -| Full composability | Right now teams can only be combined with teams and agents with agents. We want to extend this to team + agent composibility | Develop👨‍💻| 0.0.4 | -| Error handling | Ability to handle errors autonomously | Develop👨‍💻 | 0.0.4| -|LLM Extensibilty| Ability to different LLMs across different agents and teams| Develop👨‍💻 | 0.0.4| -|Async Tools| Ability create tools easily within asyncio | Develop👨‍💻 | 0.0.4| -|Observer| Observer framework for raising agent decision events and other important events | Yet to start | 0.0.4| +| Full composability | Right now teams can only be combined with teams and agents with agents. We want to extend this to team + agent composibility | ✅ | 0.0.4 | +| Error handling | Ability to handle errors autonomously | ✅ | 0.0.4| +|LLM Extensibilty| Ability to different LLMs across different agents and teams| ✅ | 0.0.4| +|Async Tools| Ability create tools easily within asyncio | ✅ | 0.0.4| +|Observer| Observer framework for raising agent decision events and other important events | ✅ | 0.0.4| |Output formatter| Ability to templatize output format using pydantic| Yet to start| 0.0.4| |Auto-Query RAG| Ability to make metadata query within the agentic, which can automatically add metadata while rag query runs, like timestamp or other data|Yet to start|TBD| |Parellel Router| A router to execute tasks or agents in parallel if the tasks are independent | Yet to start | TBD @@ -24,7 +24,7 @@ These features improve logging and debugging abilities while building. | Name | Description | Status | Release version | |------|-------------|--------|-----------------| |Recursion control| Expose parameters like recursion control to limit recursions and policy in case of recursion etc | Yet to start | 0.0.5 -|Set up tests| Create a framework for unit-testing flo-ai and its internal functionalities| Develop👨‍💻 | 0.0.4 +|Set up tests| Create a framework for unit-testing flo-ai and its internal functionalities| ✅ | 0.0.4 ## Community diff --git a/examples/agent_of_flo_ai.ipynb b/examples/agent_of_flo_ai.ipynb index 9197b80..f5ee033 100644 --- a/examples/agent_of_flo_ai.ipynb +++ b/examples/agent_of_flo_ai.ipynb @@ -61,10 +61,18 @@ "execution_count": 2, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/dm/s5_62l556k50wxl3ghqxjmj80000gp/T/ipykernel_95315/343469746.py:6: DeprecationWarning: `log_level` is deprecated and will be removed in a future version. Please use `Flo.set_log_level()` instead.\n", + " session = FloSession(\n" + ] + }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 2, @@ -122,12 +130,20 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/dm/s5_62l556k50wxl3ghqxjmj80000gp/T/ipykernel_96844/728288705.py:2: DeprecationWarning: `log_level` is deprecated and will be removed in a future version. Please use `Flo.set_log_level()` instead.\n", + " flo = Flo.build(session, simple_weather_checking_agent, log_level=\"ERROR\")\n" + ] + }, { "data": { - "image/jpeg": 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", + "image/png": 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9s3MybxZcn//eYg6H6+bGBwD07h1oZ/dPaI9er58ybbzxdWBg8Pff7QcA2NraLlm8/PPVyzIvX/xh15bIiFHGX1X21cx7hX8ePZLK4zkCAKKjxiqVit9OHo0ZF3fop71isejAvl88Pb0BAGPGxJr+ylQq1b9nAADA09M7KCjEePHwkf1kMjn5m+0sWxYAgMVif7Vx9d27t4ODBwAANBrNsqWrevcOROu2oynhufN/jBgRDQAYKAgjk8mXMtMmJ0wFANQ31LUWFx7PkUajyWRSAEBe3rX6hrqY2GGtFrRabcPfhYlmQyOR/grYcnZ2LSq6a8I1iUTasO5b42tWm6ds+NCIYeGR69av4PEclyz5zHjxxo0cnU43PWliazIEQZhMWwBAXv61Af0HGvWzmDt3b/XvP9CoHwBg4MAwAMCDhyVGCWk0Gor6oSlhcfG9p0/LP122WqfTUanUkODQjEvnjRK6ufEfPCjRaDRUKvXJkzKVStWjRy8AQLOoKSxs2LvzFra1Y7yVz0GBKXq9qXByEokUFjas3bfGj4+/mnN59KjxrQ0okajJwYH37aZdbZNBMAwAEImaQwd0tisil7fY2/0TfGv8STU2/rVRP52O8tEnqEl49twpAMCChXPbXqyqquTzPadNmb102fyly+aHDhiUnn4uoFefMaNjjd9NIhFb9pPvYCNQp9Pt2buNwWCc+O3nqJFjfX17GP2KxSJnZ9d/r3WytWU1i9qJ9WutDzoCj+cklUpa/xWJmo2WO27hpUCnRapQKLKupI+PmfTDzkPGv+3bDsAwnJ5xzvhwmpwwTa/X19RUTZkya+uWvcaH34ABg4qK7j54eL/VjlJp/glPp9Hb/qhN89PhfZWVFd9t2efp4b1uwwrjlnoDBgxCEOR06ol/+x3Qf+Dt2/m1wprWt3Q6HQDAzo6j1WolfwsjbJPAxoYGAGhqk5++ffvduXurdfu+7OxLAIDWJyXqoFMKL2ddVCqVY0bHBvTq03qxb99+ly5dmDtn/vETR/7882Zi4kwSiQTDcFVVpZ9fTwDA7Fnv3riR88mnCxLfSuJwuPn5uYgeWf/lZtO++gYGQxC0feemcWMmqjXqiRMmGwvloZ/2tU02ccLkxsaGn48enDZ1do8e/is+Wzf/g5m7dm9dsnj5qOiY1DMnd+3+rlZY498zoKzsYc61ywcPnKDRaDOT5uVez/5w4dyE+KlcrkNBwQ06nbHs41WC0DdIJNL2HZvenDy9ovzx7r3bWh05OTm7ubr/euIwjU6XSiUJ8VOTpr+dmZn2f58tnBA7ub5e+OOhPf1DBCHBoajc6n8DrV279t9Xqx8rER1w8aZ30Mp3277RaDQLP1zWtsJpbm7KupIxUDCYw3FISz+TdvFM9tXMrCsZp1N/a25uDAsbxmaxhw4Z8bSyPD397M2C60ym7fiYSd7evgCAzMsXFXL5hNgEo6mCghuPykqnT5sDAGCz2I6OzllZ6devX5XJpGPGxOblXSstLb5zp6Dt38jIMf/d9CWVavP5yq9gGOZwuDQa7fCRAz38/H18/CJGjGppkWZlpWdfzZQrWsaNjQsKCiGTyXZ29mGDh5WXl6VnnLt9Ox+C4ciI0b6+PeztOa4u7pcunT/5+zGFQv7WmzNyrmVFR4/ju3uQSKQ+ffrl38zNvJxWK6wJHxrp5sYPCux/s+B66pnfHjy8Hxkx+pNlq42Vdl7etadPy6ckznxZnXQaw8MCyYCR7axvaX9NRX5as0YFgiO4L+vpRSAIAkGQsUm9e++2U6d+TTufa6xOCTqCsgVJ3VX5zjqff7/VFTfx4sWz+w7siIwY7erqLhI1Xb2a6e3tS+iHFl1xH728fYMCQzIunZdKJQ4OvKFDRiTNeKcL/L4mdIWEvfx7f77qqy5w9HpCTPliHkJCzENIiHkICTEPISHmISTEPISEmIeQEPMQEmIeQkLM0/4AG40B6RGcH++ALQx6gyO//f1U2y+Fdjy4tgKdEDkCVGisUbW7e9cLJeT3ZGiUWNy9Erc0Vqv8gpntvtW+hBBMemMs9+KhaitnjKBDFOY0K1t0vQe2v4TB1GaW1Y+VaYeEISO49s42DBYxQ9vVGPSgoVopqlMrpLpxc154tLuZLWVbxLrbmSJhhUohw2S9qkcQRK/H6K7ODu42MEzyCWQECEwtIcLnaTGtZGVlpaambt5sJioO0xD9QsxDSIh5cC4hhUJxcXlhQwAf4FxCrVYrFAq7OxfWBecSUigUvB6Y1grOJdRqtY2Njd2dC+uCcwmJs3wxD3GWL+ahUChOTk7dnQvrgnMJtVptfb2pLStwAM4lfB3AuYRkMpnBQHl7glcNnEuo1+sVCkV358K64FxComuPeYiuPQEGwLmEREWKeYiKFPNAEMRkth+7hxtwLiGCIHI59o5DfylwLuHrAM4lJJozmIdozhBgAEJCzINzCYnAC8xDBF4QYABCQsyDcwmJfiHmIfqFBBgA5xISK5swD7GyiQAD4FxCGIbt7e07kBDD4FxCnU4nFou7OxfWBecSwjDs6OjY3bmwLjiXUKfTNTR06Iw17IJzCV+H8Cd8bh00e/Zsg8FgMBjEYrFUKvXy8jIYDHK5/OTJk92dNfTB585q7u7uaWlprSfxlZSUAAA8PDy6O19WAZ8V6Zw5c56b6SWRSKNGjeq+HFkRfEro7+8vEAjaXvHw8HjzzTe7L0dWBJ8SAgCSkpLarrKPiorC66J73Ero7+8fGhpqbKx5eXklJiZ2d46sBW4lNLZLXVxcDAZDZGQkjjv4XdQiRXQGpUxnAC9xOnzncXbwHjRgRGFhYezYt2QiXVe6NhiADZ1kQ4e6wJcV+4WVpYrH91qa67WNVWqdVu/kxZQ2qK3k61WDZgvJmrV6xEC3hVy8aR696L6BTCttjo2+hAa9Ied0U/F1CcuBRrNnMLl0CpUMUbri9/iqoUf0Og2ilmsVzQpJncKzFyMkws7Fi4auF5QlLMgQ3Tjb5Naba+/OJpO7tNp89ZGLVY2PmzmO8MgpPFt71LYLR01CBAHHNj2zYdF5PhxUDOIVab28pV42cBSnZwg6G+KgI6FKjqSsrfAa4MKwR7mWwCtV94RBQ5jBw1CYjkZBQpUcObmz1qW3MxnCcxcFdYT36/uPsO0VyuqkHRRu+o/rnjr3ciL0e1lcejv9eUVWdkfWSTudve+/bav2DHF+PRucncelt/PVP5rEDZrOGOmUhHevihESTLcjnn+W49Lb6ey+ToVJdkrC3NNNPB9uZywQ0Fk2EI3y8Lbl1anlEuanNTv52hGPwM7j4M29fq7Z4o9bPuRz76rEK9StIylv30u7mntMWP8YhqgOXH5E+IyQoFHVNQ+2/DDr7Rmb+wSEd9xprbBs5/75UxI+D+w9wnRKnU57OedQwe2zYkkdk2kf4D9kVMQ7HHvzwfkIgjytKvT1Cul4rjpph0KDIQr89L7cq7clYT4WlqH6ShWFBlFo5n8B59J/+Pn4aq1WPSxs6sABE2g2DKWqxTKnAAAyBNPpLDLZvN/Dv65Mu7THzdU/KmKuv98bt+9e2Lb77aZm8ycyHv9jw2+nv7E4h5bZYXAYj+5YuMWRhaXwcaGcyTU/uFD25FZm9sGgPpFJieshCIVBXmdH7xVLfzeb7Pa9tKL7V+Jilg4Lm2K8Eh6W+P2eeafObX4n6VvTn9Vq0RmLfyk7LCdGRUGNZY4svK0NVWq6nalD9YxcyT0CQXBczEcv0k9Y/zgr5/CzmhKeg2dC7DIfrxAAgFhSdz5jV+nDXJWqxZHnNXLE7AH9xgAAbt4+88vv6wAA787+3r/HoOzco3cKM4YPmXY+4weZrNHdLeCtuM+cHL0BANfzT9oyOUMGTW51xHcLEITE5N36QyptZDLt/2/t0JhRH4wcPtv47v7DS+VyyaL39h87+eXdogwAwLLP3wAArFj6O5fjlnLkE2H9E75brwdleWQSOcB/yISxi1m2XATRvZQdEzeKYgPbMGBJo9aO99JjpxZWpOJGLUQ10xfU6/WPn9zy8wm1t3vhnhMZV1J6+IYmxH6q02lSjnxirGMRRPesuiRs0OTYsYsYDLufj6+urCoGAPTwFcSMXtD245VVRVeuHXkrbsXsacliSd2xk18aP15ZVeTnE/rc78bPNxQAUF37wESeo4bP6eEr4HLcFszbvWDebhbrrxXCEmm9J7/vu7O3jY2eX/owd++PixHE1ATki+yYwGAACpklk5oWlkJVCwKbk1ClatFoVQ4cdxNpEmI/EfQfDwBwcvT+fs87j8ry+wWOdOC6f7LwmDGEcFDoxLUbxxTdz/bk9+XYu/h593/OwtwZm9gsBwBA+ODE1AvfyRUSBNEiiM6O/fw0PcvWAQAgk5tq+znyPJkMe1lLs8//NkOcHX1HDJ0BAPDk96XZ2P58YnXpo+sBPcNe1o4JICokl1pyVKslEur1epYD1ayEBmAAAECQqZqBQbczvnBx9gMAiKV/bTBSU/sw7fLequr7xsNcZS1NL7JgQ6UbX3DsXQEAUmkDk8kxtkifS6nRKAEAJFJne0FG5Sqrik1IaAE2tlSt2hIJLfk+ZDJZ1qTRacz4o9kwIQhuFnXoWG4yiQwA0OsRAMCjJwXb9ryt02mmxH8+a+rXDIadwaA3awGGKEYLTIYdBFHEkueHPCTSegCAHauzQTQ0mi2JRFKrUd54X92iodIsGae0sCKl28I6tZm6FIJgD7c+ZU8KpLImY13XQTKy9jtw+O8kfWt8mFH/LmcdBIJgL4+gsicFSlULnWbber2oJAuCYL5bADAbwmNy9kYqazAYDPZ2Tp208xw6NcJkWyKHhbUKx5mKaM2X+sED4zVa1enzWxDkr8QajarkwTXTn5LLJW6uPY36aXUatUZh0Jsvhf/jVxCn0aouXTnYeuVBWd7Dx/n9+kYxGGwIghh0tlT2104YBoNBLP5nhygqlS5radK/2GP+rdMAAC+PoE7aeQ6IQqKzLJHDwlLoyKdWPFIyuWbKR2jIuKLSK3cK0+vqy3v7D9Xq1IUlWWq1fNUnqSY+1cM39ObtM3m3TjPpdtm5R5VKqbD+icFgaF0jYZb+/cb8WXgxK+enWuEjT37f+sanhSWX7e1cJoxdZEzQq8fggjvnevgKWLbcK9d+rm+scHcNML7l593/5u3U305v9PYKZtDZfQOGGTs/59J38hw8Kirv5d86HeA/xMcr2AI7L0Kj1KnlOjsHage/YFsslNCvH7Mkz/zeZiQSaWbihuzcozdvn7ly7YiNDcPPJ3RU5Ds2JuvGMVHvSWWNf5zdTKezBw+cNHzo9N9Obywrv9XTV2DiU8/5nTV146UrB2/dOVdWXsBkcAYNmDg6ch7778b9xJiPtKfVx377gkazDRuYoNGqFAqp8a0BweOeVd+/dedcyYOcgf1jjbeeZcutfFaUc+NXKoUWNjChtW/zsnZehKxB7htoYRyG5bP2B9ZU8INdqHTUwnheWVKOfCKW1H/0wY/Wc1F5pzZyMtfD3xIVLW9hh4ywE1dLLf44QStqucagQyzTr1MSDhjJEde2mO1aEJil4bFoeLzlG8V1Kvyp+Iak8IbKpRfO96mzKnKxSl4rSlzKt9hCp4Yq+g62o9kgskacHwRhVaru1U1417UzFjo72jTpfbeGsmaN8vnRLIKO8Oxu7bg5znTbTgWPoRBHiugMv3xbzevhSKXjc+W+lai6Vzci3t7iVkwrKES+QDBpylL3qru1LY04P68TRSoKqgdGszqvH8rLYk79UKPWQDwfDhFWaoLmKpmyWTZqhqMTH53gTZRXNhVek+SmNnHcWRw+uyORNa8V0gZF/aMmD39G1FQeTEEt8s8qS0RvposKc8RkGGJwGLYOdIgKUagQGX7twhW1Kp1xfaG8SS6qVfQeZCeItrcgtMI0VlzlW/9M9fievKFa01yrVrYgXFeaqP51WeXLYMHSRg2NCdFZkIsXzbsPwyeQaaUFl123gZdGhRgMr82iUYPO4BlrAAAAKUlEQVTBhtFFDQJ87sH2WvHaPZ/wByEh5iEkxDyEhJiHkBDzEBJinv8HXt9XaQW7geYAAAAASUVORK5CYII=", "text/plain": [ "" ] @@ -145,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -186,6 +202,67 @@ "print(result)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Lets create the same agent but using code" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "{'messages': [HumanMessage(content='Whats the whether in New Delhi, India ?', additional_kwargs={}, response_metadata={})],\n", + " 'output': 'The current weather in New Delhi, India, as of November 17, 2024, is as follows:\\n\\n- **Temperature**: Approximately 30.3°C (86.5°F)\\n- **Condition**: Sunny\\n- **Humidity**: 19%\\n- **Wind**: From the WNW at 5.6 mph (9.0 kph)\\n- **Visibility**: 10 km\\n- **Pressure**: 1012 mb\\n- **Dewpoint**: 4.1°C (39.3°F)\\n\\nAdditionally, the India Meteorological Department has issued a Yellow alert for dense fog today, with a forecasted maximum temperature of around 29.0°C and a minimum of 15.0°C.\\n\\nFor more details, you can check the [India Meteorological Department](https://mausam.imd.gov.in/delhiums/) or other weather sources.',\n", + " 'intermediate_steps': [(ToolAgentAction(tool='tavily_search_results_json', tool_input={'query': 'current weather in New Delhi, India'}, log=\"\\nInvoking: `tavily_search_results_json` with `{'query': 'current weather in New Delhi, India'}`\\n\\n\\n\", message_log=[AIMessageChunk(content='', additional_kwargs={'tool_calls': [{'index': 0, 'id': 'call_TMFnisEBN3RHO9iglscklQNE', 'function': {'arguments': '{\"query\":\"current weather in New Delhi, India\"}', 'name': 'tavily_search_results_json'}, 'type': 'function'}]}, response_metadata={'finish_reason': 'tool_calls', 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_0ba0d124f1'}, id='run-24e5858d-74bf-4131-b738-06b671c70842', tool_calls=[{'name': 'tavily_search_results_json', 'args': {'query': 'current weather in New Delhi, India'}, 'id': 'call_TMFnisEBN3RHO9iglscklQNE', 'type': 'tool_call'}], tool_call_chunks=[{'name': 'tavily_search_results_json', 'args': '{\"query\":\"current weather in New Delhi, India\"}', 'id': 'call_TMFnisEBN3RHO9iglscklQNE', 'index': 0, 'type': 'tool_call_chunk'}])], tool_call_id='call_TMFnisEBN3RHO9iglscklQNE'),\n", + " [{'url': 'https://www.weatherapi.com/',\n", + " 'content': \"{'location': {'name': 'New Delhi', 'region': 'Delhi', 'country': 'India', 'lat': 28.6, 'lon': 77.2, 'tz_id': 'Asia/Kolkata', 'localtime_epoch': 1731830029, 'localtime': '2024-11-17 13:23'}, 'current': {'last_updated_epoch': 1731829500, 'last_updated': '2024-11-17 13:15', 'temp_c': 30.3, 'temp_f': 86.5, 'is_day': 1, 'condition': {'text': 'Sunny', 'icon': '//cdn.weatherapi.com/weather/64x64/day/113.png', 'code': 1000}, 'wind_mph': 5.6, 'wind_kph': 9.0, 'wind_degree': 283, 'wind_dir': 'WNW', 'pressure_mb': 1012.0, 'pressure_in': 29.88, 'precip_mm': 0.0, 'precip_in': 0.0, 'humidity': 19, 'cloud': 2, 'feelslike_c': 28.0, 'feelslike_f': 82.5, 'windchill_c': 30.3, 'windchill_f': 86.5, 'heatindex_c': 28.0, 'heatindex_f': 82.5, 'dewpoint_c': 4.1, 'dewpoint_f': 39.3, 'vis_km': 10.0, 'vis_miles': 6.0, 'uv': 3.7, 'gust_mph': 6.4, 'gust_kph': 10.4}}\"},\n", + " {'url': 'https://tgftp.nws.noaa.gov/weather/current/VIDP.html',\n", + " 'content': 'Current Weather Conditions: New Delhi / Palam, India ... 2024.11.13 0530 UTC Wind : from the W (270 degrees) at 5 MPH (4 KT) Visibility : less than 1 mile : Sky conditions : obscured Weather : Fog Temperature : 68 F (20 C) ... (17) Nov 12: 71 (22) 60 (16) 29.94 (1014) Calm: smoke: 11 AM (16) Nov 12: 73 (23) 60 (16) 29.94 (1014) NW 3:'},\n", + " {'url': 'https://mausam.imd.gov.in/delhiums/',\n", + " 'content': 'Urban Meteorological Services for Delhi - NCR India Meteorological Department Ministry of Earth Sciences Government of India. Navigation Menu. Home; ... Nov 17, 2024. Nov 18, 2024 ... Interactive Display of weather and Thunderstorm warnings. Current Weather Across Delhi - NCR. Delhi; Gurugram; Faridabad; Gautam Budh Nagar; Ghaziabad; New Delhi'},\n", + " {'url': 'https://news24online.com/information/new-delhi-weather-update-today-november-17-2024-imd-issues-yellow-alert-for-today-current-temperature-aqi-red-alert-imd-forecast-for-tomorrow-and-next-7-days/382671/',\n", + " 'content': 'IMD Latest Weather Update For New Delhi. We bring you the latest weather update for New Delhi on November 17, 2024. As per the India Meteorological Department (IMD), the maximum temperature will be 29.0, while the minimum temperature will be 15.0. New Delhi will have Dense Fog today. IMD has issued a Yellow alert for today: Fog'},\n", + " {'url': 'https://www.hindustantimes.com/cities/delhi-news/delhi-weather-today-aqi-and-rain-forecast-updates-november-17-2024-101731807005447.html',\n", + " 'content': \"The temperature in Delhi today, on November 17, 2024, is 27.78 °C. The day's forecast indicates a minimum and maximum temperature of 18.05 °C and 29.49 °C, respectively. The relative humidity\"}])]}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from flo_ai import FloAgent\n", + "\n", + "weather_agent = FloAgent.create(\n", + " session=session,\n", + " name=\"WeatherAssistant\",\n", + " job=\"Given the city name you are capable of answering the latest whether this time of the year by searching the internet\",\n", + " tools=[TavilySearchResults()]\n", + ")\n", + "\n", + "agent_flo: Flo = Flo.create(session, weather_agent)\n", + "agent_flo.draw()\n", + "\n", + "agent_flo.invoke(\"Whats the whether in New Delhi, India ?\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -199,7 +276,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -208,7 +285,7 @@ "kind: FloAgent\n", "name: llm-assistant\n", "agent:\n", - " name: Ask llm anything\n", + " name: ask-llm-anything\n", " kind: llm\n", " job: >\n", " You are a high school maths teacher. Answer any questions the students ask \n", @@ -217,20 +294,12 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-09-22 13:22:46,658 - BUILDER - INFO - Building Flo instance from YAML\n", - "2024-09-22 13:22:46,661 - COMMON - INFO - Flo instance created for session e7f22b4d-7380-4d00-97c9-5267a468468a\n" - ] - }, { "data": { - "image/jpeg": 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", 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", "text/plain": [ "" ] @@ -272,6 +341,54 @@ "flo.invoke(\"What is pythagorus theorum, just give me the formula\")" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Code implementation" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "'The Pythagorean theorem states that in a right 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. The formula is:\\n\\n\\\\( a^2 + b^2 = c^2 \\\\)\\n\\nwhere \\\\( c \\\\) is the length of the hypotenuse, and \\\\( a \\\\) and \\\\( b \\\\) are the lengths of the other two sides.'" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from flo_ai import FloLLMAgent\n", + "\n", + "simple_llm_agent = FloLLMAgent.create(\n", + " session=session,\n", + " name=\"WeatherAssistant\",\n", + " job=\"You are a high school maths teacher. Answer any questions the students ask \",\n", + ")\n", + "\n", + "agent_flo: Flo = Flo.create(session, simple_llm_agent)\n", + "agent_flo.draw()\n", + "\n", + "agent_flo.invoke(\"What is pythagorus theorum, just give me the formula\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -290,20 +407,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ { - "name": "stderr", + "name": "stdout", "output_type": "stream", "text": [ - "2024-09-23 14:19:07,287 - BUILDER - INFO - Building Flo instance from YAML\n", - "2024-09-23 14:19:07,290 - COMMON - INFO - Flo instance created for session a1e122c1-ed97-46c7-ad31-e67d373636be\n" + "name='print_tool' description='To print the state' args_schema= func=\n" ] }, { "data": { - "image/jpeg": 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", + "image/png": 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"text/plain": [ "" ] @@ -313,27 +429,23 @@ } ], "source": [ + "from flo_ai import flotool\n", "from langchain.tools import BaseTool\n", "\n", - "class PrintStateTool(BaseTool):\n", - " name = \"printStateTool\"\n", - " description = \"Just print the state\"\n", - "\n", - " def _run(\n", - " self, **kwargs\n", - " ) -> str:\n", - " print(kwargs)\n", - " return \"Print tool call success\"\n", + "@flotool(\"print_tool\", \"To print the state\")\n", + "def print_state(**kwargs):\n", + " print(kwargs)\n", + " return \"Print tool call success\"\n", " \n", "session.register_tool(\n", " name=\"printStateTool\", \n", - " tool=PrintStateTool()\n", + " tool=print_state\n", ")\n", " \n", "simple_tool_agent = \"\"\"\n", "apiVersion: flo/alpha-v1\n", "kind: FloAgent\n", - "name: llm-assistant\n", + "name: llm-tool\n", "agent:\n", " name: tool-to-print-state\n", " kind: tool\n", @@ -348,21 +460,14 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 5, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-09-23 14:19:14,084 - COMMON - INFO - Invoking query for session a1e122c1-ed97-46c7-ad31-e67d373636be: Print what I am saying\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "{'messages': [HumanMessage(content='Print what I am saying')]}\n", + "{}\n", "Print tool call success\n" ] } @@ -371,6 +476,45 @@ "print(flo.invoke(\"Print what I am saying\"))" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Building with code" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "FloToolAgent.create() got an unexpected keyword argument 'tool'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mflo_ai\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FloToolAgent\n\u001b[0;32m----> 3\u001b[0m simple_tool_agent \u001b[38;5;241m=\u001b[39m \u001b[43mFloToolAgent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43msession\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msession\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mllm-tool\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43mtool\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprint_state\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m 9\u001b[0m agent_flo: Flo \u001b[38;5;241m=\u001b[39m Flo\u001b[38;5;241m.\u001b[39mcreate(session, simple_tool_agent)\n\u001b[1;32m 10\u001b[0m agent_flo\u001b[38;5;241m.\u001b[39mdraw()\n", + "\u001b[0;31mTypeError\u001b[0m: FloToolAgent.create() got an unexpected keyword argument 'tool'" + ] + } + ], + "source": [ + "from flo_ai import FloToolAgent\n", + "\n", + "simple_tool_agent = FloToolAgent.create(\n", + " session=session,\n", + " name=\"llm-tool\",\n", + " tool=print_state\n", + ")\n", + "\n", + "agent_flo: Flo = Flo.create(session, simple_tool_agent)\n", + "agent_flo.draw()\n", + "\n", + "print(flo.invoke(\"Print what I am saying\"))" + ] + }, { "cell_type": "markdown", "metadata": {}, diff --git a/examples/build_agents_by_code.ipynb b/examples/build_agents_by_code.ipynb index 5af3e1a..4849e26 100644 --- a/examples/build_agents_by_code.ipynb +++ b/examples/build_agents_by_code.ipynb @@ -1,265 +1,265 @@ { - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Code to create agents and teams\n", - "\n", - "This notebook shows the code flow to create agents and teams using flo-ai" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ + "cells": [ { - "data": { - "text/plain": [ - "True" - ] - }, + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Code to create agents and teams\n", + "\n", + "This notebook shows the code flow to create agents and teams using flo-ai" + ] + }, + { + "cell_type": "code", "execution_count": 1, "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from flo_ai import FloSupervisor, FloAgent, FloSession, FloTeam, FloLinear, Flo, FloLLMAgent\n", - "from langchain_openai import ChatOpenAI\n", - "from flo_ai.models.flo_reflection_agent import FloReflectionAgent\n", - "from flo_ai.models.delegate import Delegate\n", - "from langchain_community.tools.tavily_search.tool import TavilySearchResults\n", - "from dotenv import load_dotenv\n", - "\n", - "load_dotenv()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Code to create a simple tea, with 2 agents, each agent having one tool of itself" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "llm = ChatOpenAI(temperature=0, model_name='gpt-4o')\n", - "session = FloSession(llm).register_tool(\n", - " name=\"TavilySearchResults\",\n", - " tool=TavilySearchResults()\n", - ")\n", - "\n", - "researcher = FloAgent.create(\n", - " session,\n", - " name=\"Researcher\", \n", - " role=\"Internet Researcher\", # optional\n", - " job=\"Do a research on the internet and find articles of relevent to the topic asked by the user\", \n", - " tools=[TavilySearchResults()]\n", - ")\n", - "\n", - "blogger = FloAgent.create(\n", - " session, \n", - " name=\"BlogWriter\", \n", - " role=\"Thought Leader\", # optional\n", - " job=\"Able to write a blog using information provided\", \n", - " tools=[TavilySearchResults()]\n", - ")\n", - "\n", - "marketing_team = FloTeam.create(session, \"Marketing\", [researcher, blogger])\n", - "head_of_marketing = FloSupervisor.create(session, \"Head-of-Marketing\", marketing_team)\n", - "marketing_flo = Flo.create(session, routed_team=head_of_marketing)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from flo_ai import FloSupervisor, FloAgent, FloSession, FloTeam, FloLinear, Flo, FloLLMAgent\n", + "from langchain_openai import ChatOpenAI\n", + "from flo_ai.models.flo_reflection_agent import FloReflectionAgent\n", + "from flo_ai.models.delegate import Delegate\n", + "from langchain_community.tools.tavily_search.tool import TavilySearchResults\n", + "from dotenv import load_dotenv\n", + "\n", + "load_dotenv()" + ] + }, { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, + "cell_type": "markdown", "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "marketing_flo.draw()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A second team created for doing editorial suggestions" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "chief_editorial = FloLLMAgent.create(\n", - " session, \n", - " name=\"Senior-Editor\", \n", - " job=\"Have a look at the article created and give editorial suggestions\"\n", - ")\n", - "\n", - "edit_team = FloTeam.create(\n", - " session, \n", - " name=\"Editorial-Team\", \n", - " members=[chief_editorial]\n", - ")\n", - "\n", - "editor = FloSupervisor.create(\n", - " session, \n", - " name=\"Editor-Team-Routing\", \n", - " team=edit_team\n", - ")\n", - "\n", - "editorial_flo = Flo.create(session, routed_team=editor)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ + "source": [ + "Code to create a simple tea, with 2 agents, each agent having one tool of itself" + ] + }, { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, + "cell_type": "code", + "execution_count": 2, "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "editorial_flo.draw()" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "journal_company = FloTeam.create(session, \"Newspaper\", [marketing_flo, editorial_flo])\n", - "\n", - "r3 = FloLinear.create(\n", - " session,\n", - " \"linear-router\",\n", - " journal_company\n", - ")\n", - "\n", - "master_flo = Flo.create(session, routed_team=r3)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ + "outputs": [], + "source": [ + "llm = ChatOpenAI(temperature=0, model_name='gpt-4o')\n", + "session = FloSession(llm).register_tool(\n", + " name=\"TavilySearchResults\",\n", + " tool=TavilySearchResults()\n", + ")\n", + "\n", + "researcher = FloAgent.create(\n", + " session,\n", + " name=\"Researcher\", \n", + " role=\"Internet Researcher\", # optional\n", + " job=\"Do a research on the internet and find articles of relevent to the topic asked by the user\", \n", + " tools=[TavilySearchResults()]\n", + ")\n", + "\n", + "blogger = FloAgent.create(\n", + " session, \n", + " name=\"BlogWriter\", \n", + " role=\"Thought Leader\", # optional\n", + " job=\"Able to write a blog using information provided\", \n", + " tools=[TavilySearchResults()]\n", + ")\n", + "\n", + "marketing_team = FloTeam.create(session, \"Marketing\", [researcher, blogger])\n", + "head_of_marketing = FloSupervisor.create(session, \"Head-of-Marketing\", marketing_team)\n", + "marketing_flo = Flo.create(session, routed_team=head_of_marketing)\n" + ] + }, { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, + "cell_type": "code", + "execution_count": 3, "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "master_flo.draw()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# master_flo.invoke(\"Write an article about CR7\")" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "reflection_agent = FloReflectionAgent.create(\n", - " session,\n", - " \"journal-reflection\",\n", - " \"You are critic who looks are the article and create a list of improvements that can be done.\",\n", - " Delegate(to=[\"Marketing\"], retry=1)\n", - ")\n", - "\n", - "journal_company_with_reflection = FloTeam.create(session, \"Newspaper\", [marketing_flo, editorial_flo, reflection_agent])\n", - "\n", - "company = FloLinear.create(\n", - " session,\n", - " \"linear-router\",\n", - " journal_company_with_reflection\n", - ")\n", - "\n", - "company_flo = Flo.create(session, routed_team=company)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ + "outputs": [ + { + "data": { + "image/png": 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", - "text/plain": [ - "" - ] - }, + "cell_type": "markdown", "metadata": {}, - "output_type": "display_data" + "source": [ + "A second team created for doing editorial suggestions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "chief_editorial = FloLLMAgent.create(\n", + " session, \n", + " name=\"Senior-Editor\", \n", + " job=\"Have a look at the article created and give editorial suggestions\"\n", + ")\n", + "\n", + "edit_team = FloTeam.create(\n", + " session, \n", + " name=\"Editorial-Team\", \n", + " members=[chief_editorial]\n", + ")\n", + "\n", + "editor = FloSupervisor.create(\n", + " session, \n", + " name=\"Editor-Team-Routing\", \n", + " team=edit_team\n", + ")\n", + "\n", + "editorial_flo = Flo.create(session, routed_team=editor)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "editorial_flo.draw()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "journal_company = FloTeam.create(session, \"Newspaper\", [marketing_flo, editorial_flo])\n", + "\n", + "r3 = FloLinear.create(\n", + " session,\n", + " \"linear-router\",\n", + " journal_company\n", + ")\n", + "\n", + "master_flo = Flo.create(session, routed_team=r3)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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rEVF0dOx39zlqVE8/P59OnX7buvXo8OHdicjY2DA1NcPOzuprk3exGLtVoUKZWrWqrFy5OzY2MTU148qV0Pnzx/zsTgA0DsbvAhteXuVVKmXh7jMiItrNzZmIbG2tKlUqGxeXxPR5MAvDwiLT0jKZPglm/bS0DKY//Bv7bN/ez9bWqk+ftrt2nYyJiSOimjUrKxSKw4fP56/DDPFi6OnpJiWlsSh+4sT+zs52UVEfzMyMt22bx3SEAGg35Aew8fBhGI9XmP95pFJpUlJqmTJOzF1//9rm5iZVqpQjIgcHG11dcVjYm8qVy4pEOqtX7w0Jub99+7ENGw7l95p8W+/ebS0tzZYt20FEAQH1PDzc/v571+LFW0+durR06bbOnX+TSPKYNatWrXD9+v3t248dPXohIiLqB4uXy+V9+kz196/dokU9Dw+3jIzsrKzsX3gxADQD2q+ADQ+PMoXb/5GRkU1E+fnh51crOjqWOeubz+eXLu0YFvZm4MBO8+ePWbp0+6RJDz093TdsmLV+/YH9+88yzVzfIBaLxo7tPXny0hs3Hvj6Vl2zZsaqVXuDgkKOHr3g7GzfqVPT/P6P0aN7JiWlbt58xMzMeNy4Pm5uLj9SvFAorFWryubNR+RyObPEyMjg4MFlGMIL2o1XYGvvs2cbiNJw/Q/4TEDAEB0dIRG9f59ga2spEPAVCqW9vfXGjXO4Lo1jzAkrTPfJ+/fx3bpNmDdv9HeDDaAQnT8/0cdnYbG4fhTAl/h8wfv3CcztuLgkZtTT5MkDua6LY3l50j59ptraWlarVlEk0nnw4IVEkmdra8l1XQBFC/kBP6Fy5bKfzURbpoxzvXrVuauoWODxqGXLBkFBIevXHxCJdNzcnBcuHJffzw+grZAf8BO6dWvx9Gl4bOzHCDExMezTpx3XRXFPJBL16tWmV682XBcCoFYYfwU/oUqV8uXKueb3mbm7uzZsWIProgCAG8gP+DmBgW0sLc2YE/F69mzFdTkAwBnkB/wcL6/ylSq5qVQqd3eXunVLes8HQEmG/g8NI5WoEt9T3s9dlbWQtWjQIzHKoI1/QOTTIriG1A8TicnSnnQNiuA6iADwA5AfmiRol+rtM5V9aXFRXPvvZ5Tu1OQ3eTI9DeGyCB0xL+aVxLEcr2mgSiBAigCoG/JDM8hlqqOreBVqW/q2Mea6luIlNjLnwNL4TqNVIl1ECIBaof9DMxxbS9X8rV0rIjw+Z1dav157+0MruK4DoORBfmiAiEdKc1t9GxcDrgsppkytxU7ljJ7fKeT5gAHg25AfGiAxhsT6BV+sAhh6RqKEKLRfAagV8kMD5OXyTS2QH99iaqmTl4v/zABqhY+cBpDlkkLO8YirYk6hIEk2XiIAtUJ+AAAAG8gPAABgA/kBAABsID8AAIAN5AcAALCB/AAAADaQHwAAwAbyAwAA2EB+AAAAG8gPAABgA/kBAABsID/gW56/eJqXl8fV5gBQnCE/4KvOBZ0aMbKvRMLyYuu/uDkAFHPID/gq1ocOKpXqVzYHAI2A658DEZFEIlmxcuGNG1eJyNOz6sjhEx4+Cl3x90IiatfBn4gmT5rVvFnrhIT4LdvW3r4dkp2d5eTk0qN7P3+/5kSUnp7WroP/0CFjwiNehoRcLlu2fECLtl9uzvVfCQCFCfkBRER7920LCjrdr+9QCwvLoPOn9fT0fGrW6dI58OCh3X/OX2FgYOjo6ExEcoU8LOxZ2zadTIxNr14Pnr9ghoODU4XyHsxOdu/e0rZt56VL1gsEAmsrmy83BwBtgvwAIqLYuA96eno9uvcVCoUtA9oxC+3tHYmoQoVKJiamH5fYOWzfeojH4xFRixZt23f0Dwm5nJ8fFStWHjhgRP4+v9wcALQJ+j+AiMjfr4VEIpk8ZVRkZMS314x4/Wr67+M6dWneq097hUKRkpKc/1C1ajWLvlIAKC6QH0BE5FPT988Ff6ekJg8Y1G3J0nlyubzA1e4/uDt8RB+ZVDpp4qw5sxYZG5soVcr8R3V19dRYMgBwDO1X8JFPTd8a3rWOHN23dt1yGxu7XoEDmOXMYCrGrl2b7e0dF8xfIRQKiUjvBwLj080BQJvg+AOIiKRSKRHx+fzOnXpaWlqFh4flx0NSUmL+aukZaW5l3JnwkEqlObk5SqXya/v8cnMA0CY4/gAioqPH9ofcuNLEPyA5OTEpKbFcuYpE5FGpikAgWL12SYtmbfKkeW1ad/Ty8g4KOnXm7AljI5NDR/ZkZma8ffP6a0cYX26u9j8LAIoQjj+AmLFSMql03frl/5w53qFDt65dehGRg73j+HHT372LWr1myeXLF4iof99hNbxrr1q9eOXqRdWr+cye+VdyStKDh6EF7vPLzQFAm/AK/PH47NkGojQPjy5clASfu7CLrF0sS1cx4rqQ4ut9RM7LO/Fth3FdBwB3zp+f6OOz0MTETW3PiPYrbSORSDp3bV7gQ/Z2jh9iY75c7uvbYOrkOUVd2KbNq0+eOvzlcpGOWCorYKYTWxv7TRv3FnVVAMAa8kPbiMXijRsK/trl8Qo+3PyRYVS/rkuXXq1adfhyuUwq1RGJvlwu4AvUUBUAsIb80DY8Hs/O1p7rKgpgYmxiYmzCdRUAUGjQfw4AAGwgPwAAgA3kBwAAsIH8AAAANpAfAADABvIDAADYQH4AAAAbyA8AAGAD+QEAAGwgPwAAgA3khwYwMCUe5oL6Jh6RsSXXRQCUMMgPDWBgokyIzuW6imIt4V2uvhEulAugVsgPDeBUjrLTC5jhHPKlJ0tcKyI/ANQK+aEBzG34pTwUVw/Hcl1IMRVyIs7GSWbjjP/MAGqF+ds1g2c9lY4479y26DJVTC0cdMW6+K4khUyZECOJCc90dJNVbYiDDwB1Q35ojAo1VeY2sic3kqOe89KTlNwWkyeRinULuOiTOpnZCPSNlF71lU7uSFMADiA/NImNC9/GhYhURDxuK/H17Xfp0naxmNsIYUIU4QHADXz2AACADeQHAACwgfwANry8yhOhyxqgREN+ABsPH4Zx3gcDANxCfgAb5cqV4iE+AEo25Aew8fLlGxWarwBKNuQHsOHh4YbjD4ASDvkBbDx7FoHjD4ASDvkBbFSsWAbHHwAlHPID2Hj+/DWOPwBKOOQHAACwgfwANqytzXH+IEAJh/wANhISUnD+IEAJh/wANnD+IAAgP4ANnD8IAMgPAABgA/kBbJQvj/YrgJIO+QFshIWh/QqgpEN+ABvW1hY4/gAo4ZAfwEZCQjKOPwBKOOQHAACwgfwANnD+BwAgP4ANnP8BAMgPAABgA/kBAABsID+ADU9Pd8y/C1DCIT+AjcePX2H+XYASDvkBAABsID8AAIAN5AewgfM/AAD5AWzg/A8AQH4AAAAbyA9go0qVchi/C1DCIT+AjUePXmL8LkAJh/wAAAA2kB/AhqurA8ZfAZRwyA9g4+3b9xh/BVDCIT+AjQoVSuP4A6CEQ34AGy9eROL4A6CEQ34AG9bWFjj+ACjhhFwXAJqkS5dxYrEOn8+PiYnr3Xuqjo6Qx+MZGRmsWfM716UBgLohP+AnvH4dzfvfcUdERDQRiUTCceP6cV0XAHAA7VfwE6pXr6j6//0eLi72nTo15a4iAOAM8gN+QmBga1NT4/y7Ojo6Xbu24LQiAOAM8gN+Qv36NUqXdsw/BHF2tmvXzp/rogCAG8gP+Dn5hyBisU7PngFclwMAnEF+wM9p0KCGm5uzSqVydLRt08aP63IAgDMYf1XIpHmqvBwtPzOiU7v2Ua/Tu3funJnKdSlFTKRLYj2uiwAorpAfhebxNdXDKyqFnMfjaf2Z2Z7d6i1Le0ZHnmn5XyoU8RQyZaU6vOp+Wv6bAIAF5EfhuH5cIMkR+/U0MzYXcV0LFKbMVFnEg7Tzu3Ka9lJyXQtA8YL+j0Jw9SjJlfo+LW0QHtrHyEynamMrY0vjoJ04BAH4f5AfvyouSpmTJaruZ8l1IVCEPHzNhCLdqBc4BAH4D/LjVyXFkECAZkDtJxQJE2O4LgKgOEF+/KrsTJ6loz7XVUCRs7DXzc0RcF0FQDGCH86/SpJNPD6aNbSfXKbKydDy8WYAPwXHHwAAwAbyAwAA2EB+AAAAG8gPAABgA/kBAABsID8AAIAN5AcAALCB/AAAADaQHwAAwAbyAwAA2EB+AAAAG8gPDvQb0GX8hGGfLgm9d7uRn/fNm9cKZf8x79818vO+GBzEYtuIiFejxw5s0bLuhInDC1whJyenY+dmSuV/U37FxEQPGRrI4rnCI16y+KuzsrJehYd9uuTM2RPtOvjHx8exqAEAWEN+wH9kMtmMmeNUKtWsmX/16zu0wHXevIlISUl+9uxx/pJbt6+/eftaLperp8iBg7udPXvi0yUikdjAwJDPx39mALXCRw7+8zYqMj4+bujgMbV86nh4eBa4zuvIcCK6dv1S/pJbt67LZLK3byN/6rlUKpZz2Uql0s+W+Ps137PruJWV9U/tJyYmml0BAMDA/O3FUWzch7Vrl927f1skEruXLd+///Dy5SoS0ZMnD3ft3vzk6UMiKl/OY+jQseXcKzCbpKWlrlm7NOTGFZFIXNXL+9v7P3/+nz37tn34EGNhYdkyoH3PHv34fP7OXZu3bV9PRCNH9zc2Njlx7GKB2755E0FEISGXhw/7jWnOevT4PhGFR4S5ubkT0dlzJ48fPxj5JkJPT79mjdojR0wwNTUjostX/p3zx5S5c5YcOLQrLOxZ92596tVrnL/b3NzcocN7iUXiVSu3isViiUSyecuai8HnpNI8J0eXLl16NW7UlIi69WiVmppy/MSh4ycO2djY7t97euGi2UFBp4noQtAtoVB4+Mje4EvnO3fquWXLmuSUpLJly08YN8PZ2ZWIkpOTVq1efO/ebaGOTvXqPlevXty8cR/zEACwgPzghkwuS0iIz7+bnp6Wfzs5OWnU6P4ODk4jR0zg8Xjnz/8zZuzA9Wt3lSpVJi7uQ540r1fgQD6ff+LEoSlTR+/bc0pXV1cqlU6YNPz9+3ddOgfa2tqfOHHoG08dFHR64aLZfn7NB/Qf/vz5k63b1hFRr8ABjRo2UalU23dsGDxoVKlSbl/b/HVkuIOD0/v3716/Di9Tpuz9B3fkcrmDvWN4eFiL5m2I6PnzJ87Ork2aBKSmphw9tj87J/vP+SvyN/971V8D+4/o32+Yo4NzWnpq/vJly+enpqZsWL9bLBYrlcrpM36Li/vQs0c/U1Pzhw9D586bJpHkBrRoO3vWokmTR3pVqd65U08dkYiIOrTvplQqL1w4k7+rFy+eHjy4a/z4GXK5fNmy+X/+NWvdmh0KhWLa9LEpqcljxkxJSUnatHl1VS9vhAfAr0B+cOPJk4ddu7cs8KFduzebmZovXbxOKBQSURP/gMDe7U6fOTZqxAR//xZNmgQwq5UrV3Hc+KFPnj6s4V3r+ImDr1+HL160xru6DxF5VPTs069TgTtXqVSbt66pXNlrxrR5RFS/XuPMzIz9B3Z07NDdycmFabOq4lmtYsXKX6v8TWREx47d//337PWQy2XKlL1163qFCpXKupULj3jJrDDut2k8Ho+5LRQKd+/ZmpeXJxaLmSXt23Vt1qwVczs/P46fOHQxOGjhnyvtbO2J6Oq14MdPHuzbc8rS0oppnsrNzTlydF9Ai7bly1UUCoUWFpaVK3sx27qXLe/qUvqzIufPW25ubkFEHTp0W7tueXpG+rvot6/Cw2bNXNiwgT8RRUe/PXvupFQqFYlEP/ymAcD/g/zgRpkyZQf0+2+AU8TrV8xxABHdvh2SkBgf0Kpe/qMymSwxIZ6IeDzeteuXDh7aHRX1Rl9fn4hSU5KZ3ojSpd2Y8CAivuC/y6zm5eWlpCYzt62tbD58iElKSuzapVf+CjVq1D5z9kTM+2j3suW/rDM27gNzw9TETE9PLz4+Lis7y9W1TIMG/tevX+rTe9DtOyEdO3QXi3Uv/HtGqVTy+XyZTHb02P4L/55IHd5LAAAgAElEQVRJSIgTi3WVSmVaWqqNjS2zn2rVan72FC9fPd+7b3uNGrVr1qjNLLl167pcLu8R2CZ/HYVCYWBg+OMvr66uHnPDxsaOiJKTEhMS44nI3t6RWe7o6KxUKnNzc5AfAKwhP7hhYmxau/Z/CaHzybdYSmpy7dr1Bg8c9en6zLcn00XRsUP3wQNHJackzfljilKlJKKEhLiyBX37E9HzF0/Gjf84kurwwXNZ2VlEZGpqnr+CkZExESUlJhSYHz16fvwSnzF9vl/jZkznR+lSbvb2jnv3bb9+/XJSUmK9eo2TEhNyc3NjYqKdnFymTR/78tXzPr0HV6zoee1a8P4DO5kiGfp6n18rftfuLaVKlbl792Z4xMuybuWIKDU12cLCctmS9Z+uJhCy+b+qI9QhIoVS4eDgxBz2MX/mixdPLS2tTExMWewTABjIj2LHyMg4PT3ty6b5vLy8vfu2tQxoN3LEeCL6tPvE1MQsNTWlwL2VLuU2948l+Xtmbnza3cJsmP/QZ/K3Ledeken80NHRsbd3FAqF9nYOq9cuKVOmrIO9I7P5q/CwlJTke/fvTJ82z9+vORG9/4ExTr6168+auXDo8F6rVi9euWIzU0xaWqqNjV1+q9dnWIzdKudeoYZ3rY2bVsbHx6alp4bcuDJj+vyf3QkAfArjd4udatVqPn366OWrF/lLcnNziUgiyc3Ly3P/34Cr9Iw0ImLO4ytbtvzLl8/fvYv6cm8mJqZ16zRk/olEIgsLS1sbuzt3QvJXuHLlX11dXTe3cgUWk78tMzr2zZsIJycXpmOmQQP/+Pi4+vX8iMjYyNjS0io8PIypKv9Q5tMivyagRVuhUDhqxMQnTx5e+Pcs8wooFIqTpw5/9gow9HT1kpOTfuYV/WjUyImOjs7vYqJMTcxWr9rGdIQAAGs4/ih2+vQefOvW9YmTRnTpHGhmZn7nzg2FUjHvj6UmJqalS7sdPbbf3NwiOytrx86NfD4/MjKCiLp373v+wj9jfhvUqWMPC3PLi8HnvrH/vn2GLFw0e/GSuTVq1L5//871kMt9eg/W09P7kdpeR4a7lXFnbjdo4L9v/456dRsxd0uXcgsPD+vUsYdIJNq0eXXLlu0jI8P37tvGdLk7/K/j4WuqVKnWqGGTDRv/ruPboIl/wKnTR9dv+Ds27oN72fIREa+uh1zavvWwrq4uEVWuXPVi8Lm9+7YbGRl7VPQsXfqrQ8U+JZfLh4/s07lToIODE4/Hy8zMyMrKMjT8iT4VAPgMjj+KHQd7x9Urt3p4eO7Zu3XN2qVp6an+fi2Yh36fvkBPV++PuVMPHNo1bNhvvQIHBAWdkslkDvaOfy1cZWVpvX3Hhl27N5cuXfYb+2/WrNXYMVMePb4/f8GMu3dvDh40qk/vQT9SmEwmi4mJdnUtw9wt516hZo3apUp9vFuqlFtExEsrK+sZ0+eHR4TNnjPp3r3by5ZuqFWr7tFj+39k/0MGj8nOztq9Z4uOjs7iv9a0atk+ODho2fIF9x/cadO6k/B//R9DBo+u6uW9a/fmvXu3vf/w7kf2zIwE865ea9fuzfPmT587b9qkySN79GwdHf32BzcHgC/xCmxKfvZsA1Gah0cXLkrSMFeOqPSMLCr4mHBdCHyHQqEQCARM98mH2PcDB3UL7DmgZ49+P7j568eZ8W+TmvX6gVUBuHD+/EQfn4UmJj90RF4o0H4FJUJeXt7wkX2srW2reFbT0RE9efJAIpGU+t+xFACwgPyAEoHH4zVt0jI4OGjb9vUikahUKbdZMxf6+tbnui4ADYb8gBJBJBJ17dLr0xMnAeAXof8cAADYQH4AAAAbyA8AAGAD+QEAAGwgPwAAgA3kBwAAsIH8AAAANpAfAADABvIDAADYQH4A/KiEhORXrzBlL8BHyI9fpWdAIjGP6yqgyAmEPIksfdas1Skp6US0Y8eJe/eecV0UAJeQH7/KwFQVH53DdRVQ5JLeS6rXdN23b4mZmTFzQaotW44QUU5O7rJlO27ffsR1gQDqhvz4VTbOpJTLua4CipxcKrVxJmYqXyIaMKDj2rUziUgsFtnYmF+4cJOI3r2L/eOPddev3+O6WAB1QH78Kkt7vpmN9ObpeK4LgSJ0/2KSUChxcCvg8yIQCHr2bD1jxlAisrW1rFLF/eXLt0QUGvp04sTF164hS0BrYf72QlArgHc/OOfq4ZgKtSwt7MV8PrpDtEfyB0nEwxQ9g7w6Hb7/turo6LRt68fcrlKlXEZGdkZGFhH988+VkyeDe/duV6dOValUJhLpFH3hAEUO+VE4qjWmV/fzQs+/z0whxfdas1RECoWCiIQCgZrq+xkyuVxH+NX/GAqlks/n8UizM1Iml3965eZPL+Is/uTLXaTL1zNUVqqj8qj10++Ujo5O48Y+zO2AgPq2tpZyuZyIVqzYef/+80WLJjg72yUnp1lYmP7qHwPAEeRHoXGvxnevRqSiPMlX17l162GtWl7h4VEhIfc7dGhibGyo1hK/JzExdebMVW/exMyePaJWrSoFrjNgwMxp04aUKeOk9uoK08OHrxct2hIbm/TZchsby/37l+TfFekSj1cIbbw8Hq96dQ/m9qRJA8LDo/T0xET0xx/rXr+OXr9+lqOjbVxcoq2t1a8/F4DaID8KG4/Eep8vY5osWrQY4uvr1aCRVyVPl0qeLtyU93VXr4YuX74jOjrWwECfJ5B9+VcwGvlVdXY1/9qjmsKndoWRo7ssWrQlMTElf6FKpTp2Yrsanr1s2Y/v/t9/T42NTWSyZMeOE2fOXD1y5G9LS7PHj196epZTQyUAvwL950Xr/v3nAwf+/uFDAhEdOrT899+HcV1RwTZtOrxw4aZ37+J4PB6PR/KvjygbMKCjoaGBeqsrEo0a1Rw8uJO5uUn+EoGAP2jQzAMHzubm5qmtDDs7K1NTYyKaPHngP/+sNzTUJ6INGw76+HQjIqVSee3avawsDBCH4gj5USRevHjNDOIMD48aMaKHq6sDETFfDcXQpElL9u49nZDw8Ze4QqFUKlUFrqlUKo8f/1e91RWh9u2b9OzZknlfVCrVnTsHJ07sHxX1oXPnsVOmLLt1S92ndBga6uvqiolozZrfb9/ezzR8HTlyvmXLoUSUmys5fz4kLS1TzVUBfA3yozDJ5QoievDgxfz5G83NTYmoa9cWVatW4Lqub+nS5bcrV0IzM7PzlyiVSpms4OOPpKTUDRsOqbG6ItenT/vWrRvp6+vx+Xwicnd3nTRpwOnT6/z8au3adXL06AUbNhyIi/u8m0RteDzeihVTr1zZSUR8Pv/SpTuzZ69mfqCcPHkpLS2Dq8IA0P9RaBQKxZw5a5OS0tau/b1sWZfdu//iuqIfdfDg8rp1A+VyOXNaHPNLnBke9iVdXfGUKQPVW2CRGz++b2ZmdkjI/U8XNmni26SJb3x88okTwQMGzChXrlSzZnWbNavDXZkkFov+/PM35rapqfGDB8/j45MGDer87783k5JSmzWrY2Zm8r19ABQm3qejGPM9e7aBKM3DowsXJWkSqVR2+PD51q0bCgT8S5futGzZgOuK2KtevRMTIXw+7/ffh7du3ZDrioqRO3ceHz9+8cqV0K5dWzRt6lu+fGmuK/pPZOS7I0cuVK5ctnnzegcPnpPJZK1aNTQxMeK6LlC38+cn+vgsNDFxU9szov2KpdTUdCIaMGBGbGyCvr6uvr6eRofHgQNnBwzoGBp6yMzMWCaTfy083r+Pv3Dhhtqr417Nmp4LFvx28eJWJyfbuXPX9+gx8dSpSxKJ+rrZv6F0aaeJE/s3b16PiLy8ysfHpzx9GkFEO3Yc37HjeHo6+kugqOD446e9fv3u999XDhnSpUGDGlzXUmj8/PodObLS1PQ7P1qvXLl74kTwsmWT1VVXMfXy5ZurV0O3bz/eoEGN9u39atSozHVFBXj16u25c9fr1KlavbrHpk2H+Hx+x45Nv/sWg+ZS//GHYPbs2V8uTUy8RySxtvZQWx3F39u37y9cuOnh4fbmTUzTpr75p4NpgWPH/jUw0G/a9PuN+zwez87OysXFXi11FV+WlmbVq3sMGNBRLpcfOHBu7dr9OTm5Tk62BgbFaIidhYWpj4+nvb01EZmYGL569VZfX9fe3nrTpkMPH4aVKePEjPUCrfH69QVHR39dXXO1PSP6z39IYmLK+PGLxo7tTUTalByMI0cuLFo04UfWdHGxR3h8qlmzus2a1Y2LSzx+PLhPn2l161atWdOzSRNfruv6nJubi5vbx5MWGzWqef78jcjImKpVK6xbt18sFnXu3MzISBvO6QE1Q//Htxw6FNSu3SgiMjIyOHLk73r1qnNdUeE7d+6ai4u9vf0PzZzx5k1Myez/+DZbW6uhQ7uePbuhadM6Fy/eqls3cPHirRER0VzXVTA3N5fhw7szw8obN/bJzZVERX0gopUrd+3YcSI39+vT7wD8fzj+KEBU1AeRSMfOzio9PXPjxtnMuFWuiyoqwcG3hw3r9oMrx8Ymnjx5qRj+vi4matSoXKNG5dxcyYkTwdu2HYuK+tC+vV/bto2FX5+PklvlypUqV64Uc7tx41rBwbfev09wc3NetGiLi4t9x45NhcLiOMUnFBPF9L81h7ZvP3by5KWtW+cR0cCBnbgup2hduXJXLleUKuX4g+uXLu3o51eriIvSeHp6ut26BXTrRi9evD527GKdOoHduwf4+dWqXNmd69K+pVKlspUqlWVu+/nVunjxVnp6poWF6R9/rK1e3UOjhxdCEcH4q4+Cgq7n5cnatGn04sXrChXKcF2OmvTpM23q1IHF6mwGrXT+/I29e0/n5Uk7dWrWsWMTrsv5Of/+ezM09OmUKYOio2P37j3dqlXD/JiBYgXnf3Dj0qXbV66E1q1bjYhKTniEhNyvXLnsT4WHVCrbvftUURalnZo29d2+fcGcOSNfvoysVy9w1ao9GjT1iL9/7SlTBhGRnZ1lmTLOoaFPiejMmaubNh2Ki0vkujrgUonOj1OnLvXoMZGIatf2WrBg7KdTsZYECxZsDAxs/VObiEQ627cfZ86dhJ/l7u46bdqQS5d2GBnpd+w4dtWqPQkJyVwX9RN0dHQ6d27Wt297IqpRo5JCobxyJZRpBT158hI63kugEpof0dGxzOWStL57/Gs2bz7cqlVDW1vLn91wxIjueXnSoimqRBAKBX37tr94cWv58qX69Jn211+bs7Kyf2C74sXKynzo0K5du7ZgRnU/ePD81KnLRHT+fMi9e8+4rg7UpMTlR0RElJ9fP6lUSkT9+3fQjktZ/KzY2MRnzyJ+fNjVp9q398dl8gpFkya+Z89uKFXKcfjwufv2/cN1Oey5ujrMmjWiS5fmRKSvr7tx48GnT8OZ4xLMnqLdSlB+MD+LkpPTjhxZmX8uVck0YsRc5lxIFiIios+fDynsikquLl2a79y58P37hH79pmtBd0LdutU3bJjj4eFGRI8fv2rffnRMTDwzcxrXpUHhKyn5MX78ojNnrhKRj0+VEj4F0IYNB/r378j6NHIHB+s//lhX2EWVdBMm9Pvtt96LF2978uQV17UUAmYi51GjegYHb7O0NCWiuXPXd+06nrkKFtfVQaHR/vmvwsOjLCxMjY0Nevb8ub5irXTw4Lm4uKT+/Tuw3oOOjrBMGSdDQ319fQ2/BnoxY2Nj2axZncmTl5Yr52plpb4pjIoac+5kq1YNa9SoZGpqHBX1YebMVTk5uRUrqm+YaQmh/vmvtPn4QyaTjRmzQKlUMiOsuC6He/fvP3/x4vXkyb96AagGDWpYWpoVUlHw/2zfvmDNmn3h4VFcF1L4mKs4u7k5T58+hJlu69Gjlxs2HNCgoczwGa3Nj8zM7Pv3n48Y0SN/eoYS7sGD50uXbps1a0Sh7G3y5KWfXvIWCtH8+WOGDCmgVUBr2NlZNWtWl4jKlXPl8fgHDwYR0e3b6r7aPPw67cyPs2evZWXl+PhUcXd35bqWYuHlyzcnTlzas2dxYe2wbt1qS5duL6y9wadMTIxGjeq5ZcsRrgspcrq64sGDOw8e3JmI3r79UKNGl2I76SQUSAvzIyEhOSTkvp0dxph+FBn5burU5bNnF86RB6N160bTpw8ucPIb+HWlSjncuPGQ6yrUqmvXFrdv7zc01COi2bPXPH78kuuK4Pu0MD8yMrLnzRvDdRXFxZ07T5Yu3X706MpC37NCobxz53Gh7xaIyNOzHJ/PUygUXBeiVnw+nzm1qF07P2a0JLpGijlty489e065uTlzXUVxcerUpW3bjq5Z83tR7FxXV5yenjV16vKi2HkJFxMTn5SUKhCU0LnTvbzKMzNuJSSkDBkyGychFltalR/79v3D42nVX/Qr9u8/c+/e83XrZhXdUzRtWmfEiO7x8Zo0iZNGePXqLbrumBnDBg3q9ODBC64LgYJp1betmZlxq1a4SgER0bRpy5VKZeH2eRTI0dHWxsaCaW2AwnLt2j1cZ4Xh7V2pYcOaRDRq1PyS1qBX/GlVfjRvXs/Y2JDrKrjXvfuEBg1q9ujRSm3PGBn5DrPmFZa3b98/fRretGkdrgspXsaP7zt//kauq4D/R6vyY86cNSV8avGIiKhBg2bOmTOyWTO1fvuMHNkzKytHnc+oxY4fvzhiRHeuqyh2XF0dZs4cxnUV8P9oVX7w+XzmggQl06lTl6ZPX7l27UxOms4bNKjBnFeo/qfWJmfOXE1OTmvcGI1XBbt9+/GkSUu4rgI+0qr8GDUq0MurPNdVcOPvv3feu/f8wIGlOjpcXtO+e/eAWbNWc1iARktKSv37711z547mupDiy8fHk2kv5boQICLi8rum0JmaGpXAuXWlUln//jM6dGgyZow/17WQl1cF5oK4V67cZY5I4MdNn/73tm3zua6iuFu0aALXJcBHWnX8QURxcYktW5agRtLQ0KcNGvSePn1whw7chweDuZhjXFzSn39u4roWTRIYOHns2F729tZcF1LcZWZmJyencV0FkBbmh62t1fTpQ4KCrnNdiDrs3n1q06bDN2/uq1ChDNe1fK5r1xaNG/sQEc4O+REjR86bOLF/MXwfi6GrV0MPHjzLdRVAWpgfROTr68XM7qndhg6do1AoNmwovhO1Mk3VDx48X7t2H9e1FGvDhs2ZMKFflSrluC5EMyiVytzcPK6rANLO/CAiuVy+bNkOrqsoKk+evKpZs+uAAR369GnHdS3f17x5PbFYFBYWickWC9Snz9R+/Tow18aAH9G6daNx4/pyXQWQ1uaHUCj08HCbNk0Lp2batOnQ0aMXbt7cW6NGZa5r+VEDBnR0crJLSkrFhdM/0737hIkT+9esqTFvZXEgk8kkEhx/FAvamR9E1KxZnZkzh8vlcq4LKTRKpXLQoJkKhXLWrBEaN7OegYGelZX5pUt3QkLuc11LsfD+fYK3d+clSyZWqlSW61o0zMmTl7S4dUGzaG1+MAOBgoJCZDIZc7du3Z5cV8TezZsPhwyZPWxYt6FDu3JdC3t//vmbjY2FRJJXwsfvX758Z8GCDaGhhxwcbLiuRfMIBAKhUMN+P2krrTr/40v29tbDhv2RlJT67l0cEf311+Zfv/q3+q1YsTMiInrTpj+4LqQQuLm5qFSqyZOXjR3bu06dqvnLGzXqs3jxJG9vD06rU4f16w+Eh0cV0aT6WqxXr8kvXnzsRePxeAcPnlOpVA4ONidPruG6tJJLm48/iKhq1QphYZExMfE8Ho+I3ryJ4bqin5OSkj5t2goLC9PVq2dwXUuh4fF4hw4tz8zMyl/SoEHvzMycLVsOc1qXOixYsFEg4C9dOonrQjRPr16t9fTEPB6P+Swz8xU1b679Iy2LM23Oj3btRlav3kkikeYvSUvTpAvRXLhwo2vXcf37d+jVqw3XtRS+5s3rEdGQIbMDAoZmZ+cSUURE9PXr97iuq6h8+BDv7z+gYcMagwZ15roWjdS0ad3SpR0/XeLsbNu1awvuKgLtzY8hQ2ZlZeV+uoTH40mlspQUzZigd+bMVffuPbtwYYt2X05xw4bZCQkfTzBMSUnfvPkQ1xUViXPnri1fvuvQoWW+vlV/YHUoWGBga3193fy7jRrVsrAw5bSikk5r82PDhjnjxvUuU8ZZT++//3A5OZLY2ERO6/q+V6/eNmkywMfHk7mEp3arXfu/icp5PF5UVOyFCzc4rajwLVq05dq1+4sXTzAzM+G6Fs3WpEmd/BNlXFzsu3ZtznVFJZ3W5gcRBQQ0OHhw2fDh3VxdHcRiERFlZeXExRXr/Nix48SsWasPHFjWsqX2X0jRz6+fTPb/BlhnZGRv3XqUu4oKmVwuDwyc7OJiP3/+GK5r0RKBga1NTIyIqFGjmlZW5lyXU9Jpc34wundvuX37/D592jo720kkee/fJ3BdUcGUSuXQoXPS0zP27Vtibl4ifqhWruzu7u5qa2tpZmasqytmhta8exd36tQlrksrBE+fhtepEzh9+mC00Reipk3ruLjYOzradOsWwHUtQLwCZ5V49mwDUZqHRxe11ZH4XvUgmB8frczNKqpZLlSkkssVOsJiOmRZrlDw+Xz+/8aWfJuhKZ/HIwc3nk8LpVjvhzbhUOQT1fNb/NxsSo0v4PrVKiLV/0M8HhXbt+nHyeTyn/orTK34BiY8z3oqJ/eiLKswZKer7gTxY98oFXIqug/s1yiUSpVKJeTiFFojc76JBVVtRHal1P/k33f+/EQfn4UmJm5qe8Zi8Sl9+5x34xTfs4FFRV+RnmGxKKmY4/MpI0WWmSLb8Ud8l3E8UyuuC/q6+8G82DfiUp7GFva6OiLtP95lTSpRJMfmhV5Iy0iRe9QqvnOFJcbwTm5U1WxhWcZLx9BUp0TNapaXo0iJz7t2LMWrgdK9ekn6y7+C+y/rsLuq53d0Wg91/IF14T/mtmJzW7FLRcPjq9+26Ke0tC+ORyEhJyk7U69+J5xl/X0iXb6hqY5LBcOrR2NzMyXeTbguqCDvI1RXj/K7jC/NdSHcEOnyjcx1XCoYXj7wITdbUqV+cfzQqRPHvwclOcrntwVNAhEe7Pn3crhxqjj+ro99o8xMFdVuhfD4OfU72MVFCZNjlVwXUoA7Qfxm/Zy4roJ7Dbvav30uzEgpju+ROnH8vRMbyRNofks3twxNdJJjlZmpxe5o+v1r0jUUc12FRhLriz+85rqILyR/UOVkEhohGSJdUTF8j9SM4/8KGclk46LPbQ1awKWCYfKHYpcfuZl8Kyc9rqvQSDYueplpxa5tJDVB5VDWgOsqigtrV/3MlJIepRz//XkSlVxa7L74NE5OpkIuL3ZfN1nppFTgzWVDKaec4jdPglzGk2QVMIKuZFLKVDlqH3tW3JT0/AQAAHaQHwAAwAbyAwAA2EB+AAAAG8gPAABgA/kBAABsID8AAIAN5AcAALCB/AAAADaQHwAAwAbyAwAA2EB+AAAAG5qXH2PHDW7k593Iz7tJs1qBvdtv2bpWIpFwXdTnZswcP2RoINdVaJj09DTmnW3k5922vd+EicNfvHia/2i/AV3+mDuV3Z537NzUyM87Li42f8mFf8/u2Lkp/65UKm3Rsu6ff836clu5XB7Yu/269SuYuwqF4smTh+zKAPWIef+ukZ/3xeAgrgvRfpqXH0Rkamo2oP/wLp0DTUxMd+/Z+tei2VxXBIWmfr3Gs2YuHDRwZEpq8sTJI+Lj4359n7Vr1yOiu6E385fcuHHl5s2r+XcfPb4vkUhq16r35bY8Hs/IyFhXV5e5u3jp3GUrFvx6SQBaQCOv3WRhYRnYsz9ze9qM3y5f+XdUSrK5uYU6a1CpVDxeEU6ZXtT7L7bKlHFv2MCfiNzdKwwZGhh671bLgHas9/b+Q4y9nYN72fJWVtZ3795s3aoDc0hxN/RmdnZ2cnKShYUlEd29e1MoFHpXr/XptsxbIBAI1q3Zkb9QmpfHrpIS+4aCFtPI/PiUV5XqN29ei0+IMze3kEgkm7esuRh8TirNc3J06dKlV+NGTYno3buo5Sv+fBH21MjIuJZP3bFjpvD5/K+tnJAQv2Xb2tu3Q7Kzs5ycXHp07+fv15x5rn4DupRyLePqWubosf15eZJDB84ZGho+efJwx86Nz188IaIqVar36zvUvWx5Zv3tOzaeOn1EoVA0bOA/fNg4kUjELD9x8vDBQ7uTkhJsbe39Gjfv2qWXWCy+fOXfOX9MmTtnyYFDu8LCnnXv1qd/v2Hcva7c0xXrfuPR5y+ert+w4uXL57q6er616w8b9puxkTERyWSyrdvW/XvxbG5ujqdntVevXvQKHNi2TafateoFXwqSy+VCofDBw9Ds7GwiunnrWquW7Ynozt0blSt5GRoafvYWr165beDg7kQU2LP/gP7DFy6afenyBSJq5OdNRHv3nLSztSeiBw9DN21e/fr1KzMz86peNQYOGMHE0qd7s7O1X7d2pxpfPw1W4AckPOLlqNH9Fy5YuXHzqtevX9nY2A0ZNLpOnQbMJmlpqWvWLg25cUUkElf18ub6LygpND4/4uI+EJG1lY1SqZw+47e4uA89e/QzNTV/+DB07rxpEkluQIu2i5fOjY5+O2L4+Jyc7AcPQ/l8/jdWlivkYWHP2rbpZGJsevV68PwFMxwcnCqU92Ce7u7dm5I8yYJ5y3NycwwNDe+G3po6bUyZ0mWHDhmrVCpv3ryqkMuZNV+Fh4l1dYcMGh0e8fLwkb3m5pa9ew1kQuXQ4d0d2ndzcSn97t3bAwd3xryPnjblD2arv1f9NbD/iP79hjk6OHP3onJJqVQoFIqkpMSNm1e5uJRq3KjZl+u8fRs5fsJQV9cykybOSk9L3bZ9fUJC3NIl64ho/ca/T548PHDACEtL63Xrl+flSVo0b0NEtWvVO3nqyIsXTytX9rp582o59wp8geDGzautWraPj4+LinqTf5Tz6Vvs4OA0948lc47cAUEAACAASURBVP6YwjwU2KN/YkJ8bOz7qVP+ICILc0siunf/zpSpo5v4B7Rv1zUzI/3I0X3jJgzdsG430+SVvzf1vooa7BsfkLy8vDlzp4waOdHO1n7b9vXzFkzfv/e0iYmpVCqdMGn4+/fvunQOtLW1P3HiENd/REmhkfkhk8kSEuKlMunDh6H/nDlet05DCwvLy1f+ffzkwb49pywtrYjI3695bm7OkaP7Alq0jYv74F62PPNLs0vnQCK6ei34ayvb2zls33qIaWpo0aJt+47+ISGX8/NDIBT+Pn2Bnt7Hy7KuXrPE1tZ+1cqtzLFFu7ad84u0t3dcvnSDQCBo2rRldPSby1cu9O41MCkpcc/erTOmz29Q349ZzcLCavmKP0eOmMDcbd+ua7NmrdT+ihYjO3ZuYnq2jYyMf5/x30v9qd17tvD5/EV/rTYyNGLWXLBw5qNH9ytVqnL69NGWAe26dunFNBnNXzDjydOH1avVrFq1hq6ubui9W5Ure924ebVlQHuxWLx12zqJRHLn7g0mYJidf/YW163TML/dydHR2cTENCU1uXJlr/xiVq1e3LpVh9GjJjF3vb1r9enX6W7ozXp1G325N/i2735ARo2cyLQTDBw4csjQwEeP79ev1/j4iYOvX4cvXrTGu7oPEXlU9OzTrxOnf0dJoZH5ER39tmv3lsztOnUaTJ40m4hu3boul8t7BLbJX02hUBgYGBJRE/+Avfu2r1y1qFfgQDMz82+vTEQRr19t37Hh5cvnzPKUlOT81SpUqJT/XRAb9yE6+u3AASPyG6Y+ZWhgKBAImNuurmWYBq57927L5fL5C2bMXzCDeUilUhFRUmICc7datZqF/WppmHZtOwcEtEtPTwsNvTV5yqihQ8Ywkf+ph4/uVa1agwkPIqpRozYRvXz13MnJRSqVOjg4McuZG5mZGUQkFourV/e5c/dmvbqN4+Pj6tZpqK9vsG79igcP7t65c8PR0dnR8eMB36dv8XfFxcVGRb15//7d6X+Ofbo8ISGexd7gux8QPd2PL6aNjR2TN0R07fql0qXdmPAgIv7/PndQ1DQyPxzsHceOnfrixdOt29bVr9vY0NCQiFJTky0sLJctWf/pmgKhkIgGDhhhZma+e8/Ws+dODh40un27Lt9Y+f6Du5OnjKrq5T1p4iwDfYOZsycqVcr8dfL/+xJRWmoK03T23YIFAoFcLiei5JQkIlowf8VnW9nbO0a/e0tE+nr6v/baaDwzM4uybuWIyLu6T3Jy4tZt69q07pQ//ImRnZ1lamKWf9fIyJj5KjExMTU0MHzy5GHnTj2JiBn+W6Z0WWa12rXqLV02/2zQSXt7x1KlyjBf7levBT94eDegxX9d9J++xd+VmppMRH16D65fr/Gny83NLVnsDb7xAXnz9vWnS3SEOkxrJxElJMSV/V+nI6iTRuaHrp6ed3Uf7+o+jx7dW712qbd3LXNzCyMj47S0VBsbO7FY/Nn6PB6vU8ceLZq3Xb5iwcpVi9zKuH9j5V27NtvbOy6Yv0IoFH77888cr6SkJn9thS8x33RE5Ozs+jN/cQnl4OCcl5eXkBD32ctlaWmdkZGefzc1NYWIDA2NBAJB9+59N21ePW/+dEtL6xMnD3Xs0N3JyYVZrXateiqV6uTJwx3ad2OWNGrYZMPGlQqFghng+4OYX8QMQ0MjIsrLk+ANLRTsPiCmJmbM/wFQM408/yPfuHHTZTLp3yv/Ylp+FArFyVOH8x/Nzc1lbuTl5RGRgYFB375DmZ7tb6ycnpHmVsadCQ+pVJqTm6NUKr94ZiIiJycXKyvroPOn5f/rM1epVF9bmVG1ag0ej3fs+IEvnxe+9PTpQx6PZ2JqRkQiHRHTEkVEHh6eDx/dyz9v9OrVi0TE9Em0a9ulhnet1NSUrKzM6dPmjRwxPn9v5uYW5ct7yOXyunUaMksa1PdXKBSGhoaVK3kV9PwF0NXVS0lJzn+XHR2dbWxsz547mf8+yuVymUxWeK9BycLuA1K2bPmXL5+/exdVxNXB5zTy+COfvZ1D/37D1q5bfvnKv038A06dPrp+w9+xcR/cy5aPiHh1PeTS9q2HdXV1Z/8x2dDA0Lt6rVu3rxNROfcK5cpV/NrKXl7eQUGnzpw9YWxkcujInszMjLdvXhc4eJ/H4w0eNHr+ghkjRvZt1qw1n88/f+Gf9m27NGkS8LWCHR2cOrTvduTovmkzfqtbp2FyctLxEwf/XPC3O46+/+f161dXrl7MzMy4cfPqvft32rTuaGJsQkRubuXOnD2xZu2ywYNGBfboHxwcNHnqqNatOiYkxO3YubGql7dXlepENHf+NGNjk9q16xMRj3jx8XE2Nrb5O69dq15c3AcPD0/mrrW1jYeHp5WlNfNz4UdU8ax29tzJZcsXVK7kZWRk7Otbf8Tw8TNnTRwxqm+b1p2UCkXQ+dNNmgR06tijaF4eLcfuA9K9e9/zF/4Z89ugTh17WJhbXgw+p8aSSzTNzg8i6tih+6XLF1auWlTVy3vxX2s2bV4VHBx0+vRRR0fnNq07Md8LFcpXCjp/+uq1YEtL6/HjpleqVIWIvrZy/77DUpKTVq1ebGRk3Kplhy6dApetWPDgYWi1qjW+fHZ/v+a6uro7d25at365iYmpu3sFB8fvjLsdMXyctbXNsWMH7t69aWFhWa9uIytL6yJ7eTTP1WvBV68F6+rqOjm6/DZ2av6w2oEDRmRmZpw7d7JP78GOjs6LFq7euHnVosVz9PT0m/gHDB0ylgn4alVrbN+xIX/uCoFAMGnCzKZNP4628K1dPyEhjs//77C7UYMm+W0mP6JJk4CXr56fv/DPzVvXmjdr7etbv17dRn/OX7Ft+/o1a5caGBh6Vq7q6VmtUF+SkoXFB8TB3vGvhavWr1+xfccGayubunUb3Q29pa56SzTep425+Z4920CU5uHRpaif/k6QUioxq9LQvKifSLtdORRbvkauW5XidXrz2e3kWM7KtaKhOp9UoVDkD3vLyMyYMnW0UChcuWKzOmv4da8fZibFJPr3LF5vaNhd1dvn+nXa2f7Autov7E56TkZyg47F6D06f36ij89CExM3tT2jxh9/AHxq6bL5r1+/ql27vqmpWfS7t5GR4S1btue6qBJq9pzJ9+7f/nK5lZVNYmL8l8uNjUz27D5RiAWMHjvwzZuIL5eXLVshPPxFgZscO/LvjzdmAl4p0Co1a/omJMQdObpXJpPZ2Tn07jWIGcsL6jd61KQ8aQHThcllMqGOzpfL+bxCHs4zc8afMnkBYxn4PJ6yoHYXpsGzcGvQbsgP0CoNG/gz0y8C59Q8pemXmNkloOho9vhdAADgCvIDAADYQH4AAAAbyA8AAGAD+QEAAGwgPwAAgA3kBwAAsIH8AAAANpAfAADABsfnnwt1SKkqRhOQaSg9Qz6PpyIqXq+krj4JML8BK3whifSK17tJRDyeSqyPX5wfCUU8HXGx+9Cp2f+1d99hUZwLF8Df2b7sAkvvRRHFgr1GsXeNBQsa0cQS47X3GKMxid0YSyyxd43dWBPrtSb22K69C0jvsGyd74/x7sdVFBiBd3Y5vydPntlhZ/bsgnN2OuW/BpUjSX6dQzeDDYh9rnV0FdzfsdzOnBqPOynxkRKns7P/0I3IqHBwYRKi8K/1jaTXOSp72iFoo9wfLp6ENRvpZrB2LMvKlcQ5/7uwlzQ3H6LT6mmnsEqGHL2bH+0Q73DyYMUSwbUaLUa9wdWXdgjaKPeHq49IrTHcPFuIW4jDW87ujqlUzywSC279I7iGKCU2O+pRFu0gVubxjTSdVhcQIrgtRQo7Udkq5r8OxNIOQt+9y6kiRucTJLjfUQmj//6bdGP02qxrJxKNBny1KRy9znx65+uAisZK9QVXHpzO/2L/cyHh8Y30PG9TBm8xm9i7l1Je3U/tMJB2lPeo0Yxx8dKd2xdr0JXSf60mE3vrXHJSdFrrvgL9R1eSBLF/s3lP05Vjab8vTZVIxUp7QUQSOIWdKCFKZ+9MQj9hK9Sm/yXgfcRipvso9szuxE0/xvuUk5uwqfIDGDb+uT60EdPpK+H+QgkhtVua7/yddXzzc20mcfaS6XNK+psBy7Isy+a+CXGJMRnMKXGGqo1F7b5AeRCh9AchpE5rUa2WbFoim52OZUxBsA4uRO1IGBr/igqrSXemSXdxQrRBr8W/uvdS2LEu3tZx86IqDUSV6rGZqSQ9SccU9U2f8nX27JVXr2L79Pm0hF+XEKJQERcv6/gdlQyh9AchRCRinNyJkzvtHNbB+hbEbj7Wl7lkWdPnIxIxDs7EwZlCZtnNFGPsa5+Su8k3vJcVfHsFAAABQn8AgDURiUQymYA2nJRm6A8AsCZms1mvx15SQUB/AIA1UShkGk2pP/NbGNAfAGBNcnL0qakZtFMAQX8AgJWRy2VqtR3tFEDQHwBgZXQ6fWZmNu0UQNAfAADAE/oDAKyJRCK2s5PTTgEE/QEAVsZoNGVn62inAIL+AAArI5NJ7e1VtFMAQX8AgJXR6w0ZGbipjCCgPwAAgA/0BwBYE6VS4ezsQDsFEPQHAFgZrTYnOTmddgog6A8AAOAJ/QEA1kSplDs7O9JOAQT9AQBWRqvVJSen0U4BBP0BAAA8oT8AwJrI5TInJ9z/QxDQHwBgTXQ6fUoK7v8hCOgPAADg4723oX/+/ExCwv2SDQMAkI+nT5OTk3NOn/6RdhDBycyMLeFXzLs/AgM/dXevVcJRAADy9fz52YyMV5Ur96EdRIhUKp+SfLm8+0Ol8lapvEsyBwBAQdjbv1AoctzcatMOAtj/AQAAvKA/AACAD/QHAADwgf4AAAA+0B8AAMAH+gMAAPhAfwAAAB/oDwAA4AP9AQAAfKA/AACAD/QHAADwgf4AAAA+0B8AAMAH+gMAAPhAfwAAAB/oDwAA4AP9AQAAfKA/AACAD/QHAADwgf4AAAA+0B8AAMAH+gMAAPhAfwCANZHL5Wq1mnYKIOgPALAyOp0uMzOTdgog6A8AAOAJ/QEAAHygPwAAgA/0BwAA8IH+AABrwjCMWCymnQII+gMArAzLsiaTiXYKIOgPAADgCf0BAAB8oD8AAIAP9AcAAPCB/gAAa8IwDO0I8Ab6AwCsCcuytCPAG+gPAADgA/0BAAB8oD8AAIAP9AcAAPCB/gAAa6JQKJycnGinAIL+AAArk5OTk5KSQjsFEPQHAADwhP4AAAA+0B8AAMAH+gMArIlCodBoNLRTAEF/AICVycnJSU1NpZ0CCCFEQjsACNGZM/9iWQPtFAB5ePgwMSZGe/r0U9pBShFHx+AaNb5+dzz6A/KQkPBPWNg3IhHuMg2C8/z5Fa02tnLlT2kHKS3S0l6+fHklzx+hPyBvbm4VRSIp7RQAb3NwiFEo9G5ulWkHKS0YRvS+/sD+DwCwJrh+u3CgPwAAgA/0BwAA8IH9HwCUpaamt2w58K2R1aqFrF07/a2Rv/9+csaMFX/+ucrV1cloNPboMaZJkzqjR/cjhJhMptu3H1avXpFfhv37Ty1ZsnXLljmenm4fzjlp0qDu3du8+9MjR85+992SPCds1eqT2bPH8Av2LoVCptHYF9Xc4GOgPwAEoW7d0Jo1K1keenq6fvj5DMM4OKgVCjn3cPr0FXfvPtm5cwG/V5fLpWq1nUjEf4NE+fIBQ4ZEcMOHD5/JyMju1asd9zAoyI/3bN+Vk6NPTc0owhkCb+gPAEGoWbPSoEHdC/58sVi8ceNsy0OdTs/vdVmWZRimbduwtm3D+M2BU65cQLlyAdzwjRv3X79OKNTbAWuE/gAQtAcPnv3007q7d5+4ujoFBHhzI2Ni4jt1GkYIGTAgfOjQ3t9/v+z48b8IIbVr9yCEHDiwzNvb3Wg0rlix49ChM6mpGWXK+Hz1Vc+mTetaNkONGtX3wYNnp09fCQkp4+vreejQaULIxYu/SSSSuLjE5cu3X7jwT2ZmdkCAd//+XT6yWnJydMuWbfvzz/M6nSEgwKtv306tWzckhLzvhR48ePbll9NmzRq1dOm2589jPD1dBwzompSUtnv3sYyMLF9fj+rVQ4ro04WPgv4AEISsLG1cXCI37OTkIJPJCCHPn0cPHvy9RmM/fPhnEolk9epd3BOcnR3nz58wadJC7uGAAV3j4hKjo+N//HE4IcTVVUMImTFj5R9/nBswIDwoyO+PP86NH//T6tU/1qjxZgfJ2rV7evRos2LFNLFYxDCM2Ww+cuQs9yOj0fSf/zzu3r21RmN/6tSlKVN+8fPzqly5HL/3ZTabx4yZExOT0L9/V2dnx6tX/zN58iKtVte5c/MPvFB2tnbOnDWTJg2Sy2Xz52/48cdfq1cPmTVrVGxs4rRpy7TanI/+vKEIoD8ABGHz5gObNx/ghpctm1qvXlVCyOLFm0UiZsOGmU5OjoQQkYiZM2cNIUShkDdtWpdh3kzr7++t0TgkJaVZ9p8/fx596NDpQYO6f/VVT0JIixb1u3YduXLlzhUrpnFPCA0tP2zYZ5ZXL1vW1zLs4+Oxa9dChmEIIZ07N2/ZcuDp05d598epU5f++ef+wYPL3NycCSFt24ZlZ+f89tvhzp2bf/iFRo/u16hRLUJIZGTHH35Y/s03XwYF+VerRnbs+OPBg+f8wkDRQn8ACEK7dmHcVh1CSIUKgdxmn7//vtm9e2uuPAghEklB/8Fev36XENKsWV3uIcMw9etXPXLknOUJdeuGfmDyhw+fr1y58+7dJ4QQk8mclJTH9Qp1Or1lvIeHi1ic99Vuzp+/bjQaua1tHJPJrFbb5ftCcrmMG5DJpJb/E0I0GnveO3ugaKE/AAQhIMA7LKxW7jGJiSlGo9Hb+70H1H5AZmY2t5nLMsbR0T47W5uVlc09VCrl75v2ypXbI0bMql278rRpQ1Uq5YQJ883mPE75vn374ZAhP3DD3CHFec4tKSnV1dXJst7DkUjEBX+ht5hMOP9cKNAfAALl5ORACElOTivg83Nf2MPd3ZkQkpaWwW014pbjEolEoZAbDMYPz2fNmj2+vh6LFk3iVneUSkWeTytXzn/+/AncsIOD6n1zc3BQp6Ske3m5WdYnCvtCIFg4/xxAoFQqOz8/zxMnLhoM+V9LX6mUJyWlms1m7mGVKsEMw5w/f517qNfrz5+/XrVq+fdtZcotNTWjfPlAbpmu1+uzs7XcbKVSCSEkPT2Le5pG49C0aV3uP25vf57q1g01mUy7dx+zjLHs/X7fC32YSMTk+xwoGVj/ABCE69fvrlmz2/KwTBnfFi3qDx7cc+rUX/r3n9KpUzORiPnttyPvm7xmzUoHDvx71qxV1auHODioGzeu3bFjk5Urd5pMZl9fj337TiYlpU6fPqIgSWrXrnzw4On9+085Oqq3bj2Unp715MkrlmVVKjtfX88tWw5qNPbh4a0K+L7atw/bu/f44sWbY2LiQ0LKPHz4/N//vrx79yKFQv6+F/rwDAuyjQtKBvoDQBAuX759+fJty8Pmzeu1aFG/XbuwjIyszZsPLF68uWxZ39DQ8i9exOQ5efv2je/efXL48Nlz5659+mnTxo1rT5r0pVptt2PHH+npWUFBfgsXfl2nzof2mVv8618RiYkpP/20zsFBHR7eMjLy01mzVl29eqdOndCZM0f99NO6Q4fOFLw/pFLpsmVTlizZdvTohb17j/v7e3fv3prb//G+F3JwUH9ghmIxtpoIBYOLIcO7du+uHx6+Cff/AOHo3Hl4dHTcWyOdnR2PHVtDKVFpkZh479atXc2br3/3R2hyALACkZEd5fK3v9B88kkNSnGAoD8AwDqEh7f28fHIPcbDw+XzzzvTSwToDwCwBmKxqGfPNpaDgFmWrVWrcpkyvvlNB8UI/QEA1qFLl1aWVRCsfAgB+gMArINEIu7evZVcLmVZtm7d0KAgf9qJSjv0BwBYjS5dWvr7e3t4uPTr14l2FsD5HwBQMA+vmV8/YwwGUXoSxYP+pS0rTc3R6m4ccb9BL4RSzUhlrEeAObRhqf4Kjv4AgHywLHtgJaNxd1A6Sn095Wz+FxkpVp50X54QwohIWpIhLdmweWZaxDgiU5TSS6qgPwAgHwdXif1CnIJrONAOIiDu/kpCSGAl+x0Lovt8zYrEpbFCSvXKFwDk6+px1t3fHuWRJ0dXWZ027id+K43lgf4AgHzcu0J8y3/oglSlnE851ZObJqO+NF4ICv0BAO9l0LMyucjR9b2XZwdCiH9FZXwU7RA0oD8A4L1MBiYj2UQ7hdDpc1iDjnYIGtAfAADAB/oDAAD4QH8AAAAf6A8AAOAD/QEAAHygPwAAgA/0BwAA8IH+AAAAPtAfAADAB/oDAAD4QH8AAAAf6A8AAOAD/QEAQmQymW7f5n+P2o+cHAoC/QEAQvTTz9MXLJpFa3IoCPQHAAiRXsfzkugsy37M5FBwuP85AFB28eL5VWuWxMREeXp6d/q0e3jXiDnzvv/36eOEkGYtahNCtm094OXp/cefB37/fefTZ4+VSru6dRoMHzZeo3EihJw+c+KHHydN/2H+jl2b79//T+9en8cnxL07Oe13aYPQHwBAU3Z29vc/fh0YUHbc2CnPnj1OSkoghER+NiAhPu716+hvJv1ICHFxdiWE3L17298/sFWr9ikpyXv3bc/Kzpo9c5FlPouXzB00YNiA/v/y9fHX6XLenRyKHPoDAGhKSU3W6XRhYc1btWxnGenr6+/oqElOSQoNrW4ZOXbMZIZhuGGJRLJl6zqdTieXy7kxXbtEtGnT0fLkdyeHIof+AACavL18KleuumXrWoVC+WnHcJnsvfdaNxgMe/dtP37iSHx8rFyuMJvNqakpHh6e3E9r1qxbgqmBYP85AFDGMMycWb+0ad1xxcpF/b4Iv3nzep5PY1l28rejt25b165tp7lzlrZq2Z4QYmbNlifYKe1KMDUQ9AcA0KdWq0ePmrRxwx6VSj1l6tjs7GxuPHckFefmzevXrl8eNXJS926fVapYpWyZcvnONvfkUBzQHwBAmU6n4zZkhXftlZmVGRsbQwhRKJTJyUlm85s1jLT0VEJI+eCQ3A8tP33XW5NDccD+DwCgyWAwfN6/W9MmrcoEBu3fv0utUnt7+xJCqlWt+cefBxYsnBVapbq9vUOliqEymWz1mqUdOnR9+vTRtt/WE0KePX3s4+2b52zfmvyTTxqX+DuzfVj/AACatDnaGtXrnDj5x6Jf5kik0lkzFykUCkJIq1btu3bpefrM8VVrlvzn7i03N/cp38589Pj+9z9MvHbt0oKfV9av32jvvu3vm+1bk5fseyotGGwihHft3l0/PHyTSCSlHQQoy8kiW2aZIyYG0Q4iaCe2RtVspg+oyNAOUiwSE+/durWrefP17/4I268AoMhcuHBmzrxp746XSeV6Q94XFFn6y/qAgDLFmiozM7N3n455/qhSxap37+WxdjJ86PjcZ5NAntAfAFBkatWqt2rltnfHG/R66XtO7HBzdS/uVHZ2dnmmIoQQlpC8VhscHTTFncoGoD8AoMgoFAoBXmlKJBIJMJUNwP5zAADgA/0BAAB8oD8AAIAP9AcAAPCB/gAAAD7QHwAAwAf6AwAA+EB/AAAAH+gPAADgA/0BAO/HshK5bV4WsAiJJQxDSuOFaNEfAPBeCjWTnW42GUvjwrHg0pMMKk1pbFn0BwB8iG+wOC0x70vnAiHEbGLNJrOm2C8CKUToDwD4kGpN2KvHEminEK4rxxMqN2DEYqx/AAD8r4AQpnID86ntMbSDCNG1E4lyhbZWC9o5KMH12wEgHyG1zWaj9uS2F0aDyKuMOifbRDsRZXKlKDE6mxCTh7+pQYfSuObBQX8AQP4q1RcFVTMmRDFpiSkGPc0kt249iI9PbtmyAcUMYgnxLUecPVkH51K9CQf9AQAFIleKfIOJbzDlGE8SX+oznldv8gnlHITkfefC0qRUlycAAPCG/gAAAD7QHwBgTcRikUwmpZ0CCPoDAKyMSCQSi7HgEgT8GgDAmhgMRq0W58MLAvoDAKyJSCSSyXDgqCCgPwDAmpjNZr3eSDsFEPQHAADwhP4AAGsik0nVajvaKYCgPwDAyuj1hszMbNopgKA/AMDKKBRyR0c17RRA0B8AYGVycnRpaZm0UwBBfwAAAE/oDwCwJnK5DNuvBAL9AQDWRKfTY/uVQKA/AMCaiMVipVJOOwUQ9AcAWBmTyYTrXwkE+gMAAPhAfwCANVEoZM7ODrRTAEF/AICVycnRJyen004BBP0BAFZGKpVg/7lAoD8AwJrg/lHCgf4AAAA+0B8AAMAH+gMAAPhAfwCANZFKpSqVknYKIOgPALAyBoMhK0tLOwUQ9AcAAPCE/gAAa4LzP4QD/QEA1gTnfwgH+gMAAPhAfwCANWEYhnYEeAP9AQDWhGVZ2hHgDfQHAADwgf4AAGsik0nt7VW0UwBBfwCAldHrDRkZWbRTAEF/AAAAT+gPALAmcrnM3t6Odgog6A8AsDI6nT4jI5t2CiDoDwCwMgqFzNnZgXYKIIQQCe0AAAD5a9ducHx8Mnf+oNlsXr16Nzf+2rXdtKOVXlj/AAAr0LFjU5FIxJ18bhn45JPqtHOVaugPALACvXt38PX1zD3G0dH+iy+60ksE6A8AsAbOzo6tWjWwXPyKZdnKlYNq1apMO1ephv4AAOvQq1d7f38vbtjBQf35511oJyrt0B8AYB2cnR2bN68nEokIIZUqBdWuXYV2otIO/QEAViMiop2fn6eDg3rgwHDaWQDH7wJYoef/MSfFkuwM2jkocGxUcVByclrWy4rnXppphylpdvbE0ZUpU5mIJYK4CQr6A8CaZKaye5cSR1e5s5dSphTTjkPBJ2GNaUegxmwi9y5nXzysaxbB+gTRrxD0B4DVyEwlRzeJW/TxcnCW0c4CdITU05jN7Kltr+q3M3mVpRwG+z8ArMbepeb6n6I8SjuRFzU59wAAIABJREFUiGkZ6b9/hcmgo3wrRvQHgHV4ftfs4CJDeQCn0ieaG2fQHwBQAEkxxMUb1y2HN1y9lEkxlHeBoD8ArEN2JiNTlMYd5pAnuZ04Kw39AQAAVgj9AQAAfKA/AACAD/QHAADwgf4AAAA+0B8AAMAH+gMAAPhAfwAAAB/oDwAA4AP9AQAAfKA/AACAD/QHAADwgftHAdis/gN7Pn/+9K2Rx49elEj+5x9+VPSrvv26Tvl2ZovmbQghc+Z+//z5kxW/buZ+evfenaCywXK5/OPzRPbtEh0TleePNq7f7e8f+PEvka9/blwdO24IN2yvtg8Jqdw3clBoaHXeM8zMzIx5HVU+OMQy5unTx6PHfDlx4rRGDZsWRWThQn8A2DIfb9/WrTvmHiMW53MRXzuVys5OxQ3/efTg3Hk//L73RJH0R/fufdLT0wghiYnxBw/tbdqkZZky5bgfOTpqPn7+BdesaasyZcrFxsacPXdy7Pghy5dtDC5Xgd+sBg3u1aB+WO7+kEgkarW9RGz7S1fbf4cApZmHh1e/voMKNcnI4RMswzqdjt/rsizLMG9fXbxL5x7cwN27tw8e2tuoUTNujafkNW/ehls56Ny5x1dDIg8d2jtm9Df8ZqXX698a4+8fuG3rgcLOJzomytvL590PTcjQHwClUWpqyrLlP1/464xMJq9RvbZlfK/POsbFxVapUm3J4rV/Hj24aPEcQkiX8JaEkK8nTmvb5lNCyLFjh7f+tj4mJsrFxbVD+659PusvEom4zWVlAoMCA4P27tuu0+Xs2vGnWq0uYJ5/blxdvWbpkycPnZyca1SvM2jgMBcXV0LIH38e+P33nU+fPVYq7erWaTB82HiNxokQsnvPtrPnTrVu1WHjplVpaalBQeUHDhh64sQfFy6clkilrVt1GPzliHzXtAgh5YND7Ozs4uJjuYd5vrWr1y5NmDhs2ZL1lSqFck9r16FR1y4Rg78c0euzjikpyb/v3/X7/l0eHp7btx3i1tgIIT/NW1a7Vr3de7ad+vexHt37rF27LCk5MTg4ZPzYKdyWOoPBsG79rydO/qHVZletWvPhw3t9Iwd17tSd1++TDvQHgC0zGA3x8XHcsJ2dilug6/X68ROHRke/6tkj0tPTe//+XZbnjxs7ZfXqJdxwvboNe/aI3Llry+yZi1Qqta+vPyHk6NFDc+Z936JF24EDht69e3vd+l8JIX0jB3KTXLnyd44uZ9aMhdna7IKXx7Xrlyd9M7JVy/Zdu0RkpKft2fvb2PFDVv66RaFQ3L17298/sFWr9ikpyXv3bc/Kzpo9cxE31e3bNyRiyfffzY2Lj/15wYwJE4d92jF8/vxfL148v2HjSn//wA7tu+T70mlpqdnZ2R7unvm+tTx9P23exK+HV69Wq0f3PlKZjBBSo3qdwV+OWPXfz5AQcu/enZ07N48bN8VoNC5YMHP23Gm/LttICFmxavGBA7sHDRzm6ur+64qFOl1Ou7adCviJCQT6A8CW3b59I6J3B244ss+AgQOGEkJ+37/zyZNH3BdkQkjlSlU/7//ma2+d2vV37dqizdESQpycnL29fQkhFStW4fZPsCy7Zt2y0NDqUybPIIQ0DmuekZG+fcfGbuG97ezsCCFiiWTqt7OUSmWhQi5Z+tOnHcNHjpjIPaxdu/7n/btfufp3WKNmY8dMtmzSkUgkW7au0+l0lp0x302drdE4Va5c9fKVvy5ePD9m9DcMw1QoX/HYsUPXr1/+QH8kJSUmJibExb3euGmVSCTq0KHrB97aB5KHVKgkkUhcXFwte+A9PDyrVa351tNmzljo7OxCCAkP77X814Vp6WlqlfrQob0d2neJ6NmX+2Bnzppy+86NWjXrFuqjowv9AWDLgoKCB/Yfyg37+PhxA+fO/7ts2XJceRBCRAXYzsOJinqZmJjALfI4deo0OPLH/qjol9wO5IoVq+Quj4zMjMzMDEKIRCxxc3PPc56xsa9fvHgWHf3q0OF9ucdzq00Gg2Hvvu3HTxyJj4+VyxVmszk1NcXDw5N7jkz2pkhkUplUKrU0jaube1paKjf8OjaGG9A4OlmyLVo8h9s05+Tk/O3kGeWDQ169evG+t1bAD+cDFIo3r+vh4UUISUpMMBmNer3e8hvhBjIy0j/+tUoS+gPAljk6aBo0CHtrZHx8bHCu44UKLjMrkxCi0ThbxtjbOxBCEhPiuf5QKv5nzWPPnm0bN60mhPj5BWzasCfPeaakJBFCPu83uHFY89zjnZ1dWZad/O3oBw/vft5vcKVKVc+dO7V9xyYza843J8MwLMtyw5/1ebNRyHKAMiHki8+/qly56uJf5opEIm5H+gfemqwojj3jSCVSQojJbHJ01KhV6tu3b/To3ofbxkUICSobXFQvVDLQHwCljsbRKSUlueDPtyyL3d08uH0Glh9x8+EWte9q3qxNuXIVCCFKpd37Zq5W2xNCdLqcd8//uHHj2rXrl7+dPKNli7aEkOgoPqsC03+czw1UKF/JMjIoKLh2rXoTxk0dNebLTZtXDxo47ANvTW94+wirt1g+n4ITi8W9e3+xes3SGTO/dXV1339gV7fw3n5+AYWdD104/xyg1AkODnnw4O6rVy/yfSa3PpGYmMA9dHFx9fTwunz5guUJZ86cUCgU5d5z8oS/f2Cjhk0bNWz6gc36vr7+Hh6ef/x5QKvVcmOMRqPBYCCEpKWncodIceO5h2Zz/usfuXEBGjVs+u4GtKpVa3Tu1H37jk0PH93/wFtz0jgTQhKT3nwISUmJXDzLR5SUlFioSJwunXvWqV0/JSU5MzPj28kzhg8bx2MmdGH9A8CWxcW93rR5jeWhQqHo2SOyd+8vjh0/PGrMl927febi7Hry1J/vm7xylWpisXjp8vnt2nTS6XWdPu32xedfzZn3/U/zp9ep0+D69cvnL5z+vN/gwu4wz41hmGFDx303bcKwEV90+rS72WQ6euxQq1btu3f7rFLFUJlMtnrN0g4duj59+mjbb+sJIc+ePvbx9uX9cm/5ctCIvy+e++mnH39dvul9b83fP9DDw3PLlrVOGudsbfbatctyd1hoaI2Tp/7c9tsGe3uHypWqli1broAvPX3mZAcHxwYNGhNCGMLExcVa9utYC/QHgC2Ljolav2GF5aGDg2PPHpE+3r5z5yxZsWLRho0r3d08GjVqduXqxTwn9/H2HTf22zVrly1dNj84OKTTp93atOmYo8vZtXvrseOHXV3cBn85oldEv48MGdao2eyZi9ZvWLFs+c8qlbpqaI2qVWsSQtzc3Kd8O3PZ8p+//2Fi5UpVF/y8cv2GFXv3bW/UqMiuC6JSqcaM+uabb0dv+21Dv76D8nxrEonk+2nzFv8yd8LXw3x8/Pp/PmTm7CmWOXw1eGRycuLmLWs0jk5Dh44teH/UrFFnw8aVJ08d5R6KxeKJ479r3bpDUb21EsDw2HIHNm/37vrh4ZtEIintIPD/zv3OypTOleqX6HU+oPiYTCbLGY7pGemTvhkpkUh+WbQmv+neiH+Zc+PU626jijMiIYSQxMR7t27tat58/bs/wvoHAAAFPy+Y+eTJwwYNGms0Ti9fPX/69FGHDl1phyoc9AcAAAV1634SHx+7Z+82g8Hg5eXTr++X3LG8VgT9AQBAQdMmLZs2aUk7xUfB8bsAAMAH+gMAAPhAfwAAAB/oDwAA4AP9AQAAfKA/AACAD/QHAADwgf4AAAA+0B8AAMAH+gMAAPhAfwBYB5WamPSFu3US2DC9zqR2YuhmQH8AWAcnT5IQraWdAoQiISrHyYPy9wn0B4B1KFOFSU3IyUo30g4CgvD4elpoQ8p3b0J/AFiNzkOY8/titJmokNLu5LboVpGMUk15AY7rtwNYDY0b0+oz4+7FLzzLKF297eR2YtqJoESxLIl9npUUow3rwvqVp7zzA/0BYGUcXZnOo1KTX7JH9l015sgqVgqSSYV1m+HMrOysLG1GRmZmhtZkNtWqWZl2orc9exblqLF3dnKkHaTQ1BoSGGJqHkHkCkFsOkJ/AFiBnBydQiE/ePDfM2as/PXX72rWdHIN9Hd25paAlDeCcw4cOHX58u0HD55lZWlTUzN0Oj0hpEaNipMip9OO9i6ftWv3NGza0NfXk3YSHgTRHBz0B4CgPXr0YvbsVY0a1RowIDwkpOyFC1skEgkh5L/lIQgREWOfPHlFCGFZlmEYQgjDMGKxuEOHxrSj5W3gwG60I9gCAVUZAHAyM7PmzVs7Y8YKQohebxg1qt+AAeGEkODgAK48hGbHjgX+/l5cbVhGeni4tGsn0P7gVul69RpHO4V1Q38ACMXRoxcmT15ECElMTA0I8B4+/DNCSOXK5apVq0A7Wv727v3F09M195imTWsrFHJ6ifKhUMiXLZu6Y8cftINYMfQHAE0xMfEbN+7PzMwihNy8eb91608IIYGBPhER7TQaB9rpCqdatRCVSskNu7o6d+zYjHaifLi4aCIi2tFOYcXQHwAUXL165+nTV4SQBQs2pqWlKxQKQsjEiQObNq1LOxofBoOhbdvBvXq1O3Nmk1wuI4QEBfmULx9IO1eBbN16aMGCDbRTWCX0B0AJMZlMMTHxhJDp039dvXo3t5ydP3/CyJF9JRIrPpPj5cuYsLB+mzfPCQ0tTwi5cGGrnZ2ya9eWtHMVVJ8+HStVCrp69Q7tINZHiPviAGxJVpZWpVKePXt1/Pifli2b4u3t/vXXg2QyYZ20wdvFizcXLNh48eJvuUeePbuJXiI+2rYNox3BKmH9A6C4JCWlDhw4Ze7cNYSQoCC/y5d31KkTSgixmfI4dOj05s0Hdu5cQDtI0Rg4cGpiYgrtFNYE/QFQlMxm89q1e0aPnk0IMRpNI0ZE/vjjCEKIj48H7WhFbOnSrU+fRi1bNpV2kCKzfPnUZcu20U5hTdAfAEXg2bOolSt3mEwmvd6g0+lHjIjkToCoXj2EdrRiMXnyQpXKbuTISNpBipJcLps2bRjtFNYE/QHA3+PHLzIysrhd4gwjEovFCoV86NDeQUF+tKMVo+HDZzRpUrd//660gxSLM2eubNt2mHYK64D+ACg07uJOo0bN/vbbX7gTrtetmzl4cA/auYpdTo6udetBQ4ZEtGnTkHaW4tKkSZ3U1PRTpy7RDmIFcPwVQCGcOPH3mjW7Z84cHRTkN2HCAF9fW9ur8QFPnrzq12/SgQPLXFw0tLMUr6FDe9OOYB2w/gGQD7PZvH//yb//vkEIyc7OmT59JLd5qlSVx19//fPNNwsuXNhq8+XBMRpNOKkwX+gPgPe6f/8pIWTTpv03bz4MDg4ghHTq1IwbKFV27PjjxIm/d+5cSDtIyZFIxA0aVB8+fAbtIIKG7VcAb2NZVqvN6dx5eEREu5CQsl98YZs7igto0aJNer3hu++G0g5S0ho0qF6vXlXLFenhXVj/APh/589fGzLkB6PRyDDMjh0LBg3qTjsRZdOmLXVx0UycOJB2EDpEItHFize5Q+zgXegPAJKcnPbsWRQh5K+/bgwcGC6VSpVKhaBu0ERF375fN21ap2/fTrSD0FSmjE+vXuNppxAo9AeUdidPXoyIGCsSibgr4HKXGCnlsrK0LVr0/+abwc2a1aOdhTJPT7dly6bcufOIdhAhwv4PKKWuX7/74MGz3r07BAR4Hz++lnYcAXn06MXAgVMOHFiu0djTziIIgYE+tCMIFNY/oNQxmUyxsQm//rq9QYPqhJBy5fxpJxKQc+euTZ36y9mzm1EeuT1/Ht2nzwTaKQQH/QGliNFo+u67JTqdXqNxWL36R3yvfMtvvx0+fvyv7dt/ph1EcAIDfT79tNnZs1doBxEWbL+CUuS7735p2LCmnZ2SdhAhmj9/PSGEu1owvKtXr/a0IwgO1j+gVNi69RAhZNasMR06NKGdRYjGjp3r4+M+fnx/2kEE7datB9wppcBBf4DtW7Jka2CgN+0UwtW79/jOnZv37t2BdhCh8/R0HTNmLu0UAoLtV2D7mjWrW6VKMO0UQpSWltG379fz508sXz6QdhYr4O7usmDBxMTEFFdXJ9pZBAH9Abbs8eMXWVk51apVoB1EiO7ffzp06PSDB5epVHa0s1iNihWDaEcQEGy/Alu2dOk2f39P2imE6OTJi0uWbD11aj3Ko1D0esPYsdiE9Qb6A2xWVpa2WbN6Tk6l/TIk79qy5eDRo+dt6dblJUYmkyYkJN+9+4R2EEHA9iuwWSqVsnPn5rRTCM7y5b/pdPp583BNJ56WLJkiFuObN8H6B9i4Vat2RUXF0k4hIGPGzPHychsz5nPaQayYRmNvb6+inUIQ0B9gy+rXrzp16hLaKYQiImJs164tu3ZtSTuIdbt588HmzQdopxAE9AfYsqpVK8ybNy4tLZN2EMpSUzP69Zs0c+boxo1r085i9bKztZcu3aKdQhDQH2Dj3NycZTLJpUs3aQeh5u7dJ926jVyx4ntcKbJIhIYGDxkSQTuFIKA/wPYplYqNGw/ExyfRDkLBmTNXZs9edfLkejs7Be0sNkKtVuF0VA76A0qF5cunPnsWbTAYaAcpURs37r906dbmzThfoSg9fPj8669xiWKC/oBSpF69qnq98ciRs7SDlJBZs1ampaWX2luXFx+93hAXVxrXZd+F/oBSRKVS/v33jefPo2kHKXazZq2sUKHsyJF9aQexQYGB3uPGfUE7hSCgP6B0mT59ZHJyWnJyGu0gxSg8fGTr1g27dWtFO4htUqtVoaHlaacQBPQHlDo1a1bS6w1r1+6hHaToJSam1K/fe+HCSbVrV6GdxWY9fvxiypTFtFMIAq5fAqWRp6erTqePjo7z8fHgxrRo0b9x4zrTpg2lHY2/W7ceLFq0+dy5TVKplHYWGxQRMVanMxDC5uTo09MzunR5TAir1eYcPbqGdjRqsP4BpdTQob3FYlFKShohpGPHIWlpmf/8czczM5t2Lp7+/e9LCxduWrduBsqjmHTq1DwmJi4qKi4xMUWvN0ZFxUZFxZXyqxejP6D08vR0E4vFTZr0i41NIoQkJaX+/fc/tEPxsX79vps3H6xfP5N2EFvWs2dbf3+vt0a2bduQUhxBQH9AqRYZ+XVWlpYb1mp1J05cpJ2o0Fas2J6VlT16dD/aQWycVCrp2rVV7ivv+vp6RESU6pv+oj+g9OrSZURMTHzuMffvP7OuQ/uHDZvu7+89fHgf2kFKhYiIdpYdZoSQdu3CHB3VVBNRhv6AUmr48OmpqRksy7IsaxmZmJj8119WswkrPHxk376d2rdvTDtIaSGRiHv0aM2tgvj5efTs2Y52IsrQH1BKLV06dcGCiZ991jEoyE+jsedaJCdHf/KkFWzCshynW79+NdpZSpfu3dv6+LhzKx9OTg6041CG43fByqTEs8mxxKBjPn5WdqRSh8aVOjQmr18nPHjw7N69pxkZmdlx5P6VoghabLRa7bJl+9Yu2qyNl9yPL8AEBSOVs86exMm9CD7YEqDLMSfHMhlJxGwu4cCSTs0GXrjwT92KXUr+70SqYF08icZNKL8jJvfKOwBn9+764eGbRCJhHQmansye2sGkJxG/Ckpdtrk4XsJkMhkMRoVCXhwzLyoGg1EqLfpvfnKl6NVDraMLaRbBOjgLZQmVp9vn2Uc3RUYd4xGo0GaYaMcpOVIFE/0wx9GNtPyMVTmU0O8oMfHerVu7mjdf/+6PsP4B1iE9SXx4Hdu4u5eDs4x2FptVuw1JT9YfWhvTcYDIwUWgy+WbZ6XRj8WtIt8+lLa0aEtS4nQHVr7uOIixdyqWb1EFh/0fYB22ztG37e+H8ihuDs6ydv39t87R0w6StwfXyMsHorBupbU8CCGEOHnIW/bx2/GzkXYQ9AdYg6snzDVauEik+HMtCRKpqEYLl2snBLdlm2XZ2+dJvfbutIPQp1CJQ+pqbpzF+gdAfuJeiNQaYe2MsW32TtLXz2mHeIcum6TEmZVqbHUnhBB7J1n8C8q7qdAfYAUMOoL+KEn2TlJDjuB2oWemss5e2ID5hr2TVKelvABHf4AV0GkJjhMsSSzL6LKF94kzIn22QPfqlzyWJXot5d8R+gMAAPhAfwAAAB/oDwAA4AP9AQAAfKA/AACAD/QHAADwgf4AAAA+0B8AAMAH+gMAAPhAfwAAAB/oDwAA4AP9Abbp6rVL/xrar027Tz7t3HTCxGEpKcm8Z3Xkj/1dwlvGxcV+fKr+A3s2a1H7rf+Mxjxu5NAjot2ChbO44Tlzvx/yr76WH8XGvn4dG/PxYaCYREW/atai9slTR2kHKXa4EjLYoEePH3wzeVRQ2eCBA4bGxcdev35ZpVLznptMJlep1CJR0XzZ8vH2bd26Y+4xYrH4w5PYqVR2dipuODomqm+/rt9Nne3l6V0keQB4Q3+ADTp9+rjJZJo7d6mjgyN33yGG4X818pYt2rZs0bZQk3zgFT08vPr1HVSouY0cPsEybDIaWV7XIv7IDwHgXegPsEE5uhyGYWTSN/eKyL3cfB0bs3z5gmvXL8lk8vLBIQMGDA2pUIkQMuW7cX6+ARKJ5NDhfUaDoX79RqNGTlKr1XPmfX/06CFCyPGjFyUSCSHk7r07K1YuevDgrkKh/KRB43/9a4yDvQO3bapMYFBgYNDefdt1upxdO/5Uqwux0mMymTZtXn3o8L6cHG316rV1OTnc+F6fdYyLi61SpdqSxWtfx8Z83r87IeSHHyf9QEibNh0nTfy+4JH27TmhUCiK+sO2QfsP7N65a0tiYrynp3eL5m0jevaVy+WPHj8YMXLAnFm/rFqz5MmThx4eXl99ObJhwybcJKmpKcuW/3zhrzMymbxG9dq030EJQX+ADapTu8Hevdvn/fTDmDGTuSUpJykpccTIAT4+fsOHjWcY5tixw6NGD1qxfHOZMkGEkJ27tjRv1nrWzEUvXzybv2CGi4vbkK9GhXftZTabjx8/ws3h+fOn48YPCQwMmjhhWlpqyvoNK+LjY3+e/yv30ytX/s7R5cyasTBbm/2+8jAYDfHxcdywnZ3K8rTFv8w9eGhvu7adqlWtefnKXxmZGdz4cWOnrF69hBt2cXb9dvKMmbOm9P9iSI3qtZ2cnAsVCeVREBs2rtq1e0t4114BAWVfvXq+Y+emqOiXkyf9SAjR6XQ/TJ80YvgEL0/v9RtWzJj17fZthxwdNXq9fvzEodHRr3r2iPT09N6/fxftN1FC0B9gg+rXazhwwNCNm1Zdufp3eNdevXt9oVQqCSGbt6xx0jj//NOv3JpEq5btI/t1OXRk34hh4wkhvr7+k7+ZzjBMxZDKZ8+funL17yFfjSofHBIYUNYy5y1b14pEonlzl9qr7Qkh9vYOs+Z8d/Pm9WrVahJCxBLJ1G9nca/1Prdv34jo3YEbjuwzYOCAoYSQh4/uHzy01/KwTZuON25e455Tp3b9Xbu2aHO0hBCZTFY+OIQQ4u8fGBpavagigUViYsLWbeumfDuzSeMW3BgXF7eFi2YPHzaeezhi+ITmzVoTQgYNGv7VkMibt643Dmv++/6dT548+mnestq16hFCKleqyq0m2jz0B9imyD4DmjZttWXL2i1b1508dfSXRWtcXFwvXboQnxDXvmOY5WkGgyHhv2sDCrnCsqXLw8Przp2b7872xs1rNWrU4ZbUhJA6dRoQQh48vMstrCtWrJJ7SZ2RmZGZmUEIkYglbm7u3MigoOCB/Ydywz4+ftzAuXOnCCHdu/exTFvw3fWFigQfdu3aJaPROHPWlJmzpnBjuL1NiQnx3EOl4s2H6eHhxfUNIeTc+X+XLVuOKw9CiCi/AyJsBvoDbJavj9+kr79v06bj+AlDt23fMGLY+OSUpAYNwgYPGpH7aXkemiWVSM3mPG6VmpWVqXF0sjy0t3ewLERyL1w4e/Zs27hpNSHEzy9g04Y93EhHB02DBmH/O1cSFx+rVqu5vf2FVahI8GFJyYmEkFkzF7m7eeQe7+3t++z5k9xjpBIpIYT7I4mPjw0ODinxsPShP8DG1aheu0KFSg8f3uOWrWlpqf7+gbzn5urqnp6eZnnInVai/u93/7c0b9amXLkKhBCl0u7Ds9U4OmVmZur1eplMVqyR4MPs/7u3rFB/JBpHp485wch64fxBsEEmkykrK4sbzszMjImJ4r6G16xZ986dmw8e3rM8U6vVFmrOlStXvXHzWs5/D446e/YkIcSyK+It/v6BjRo2bdSwaa2adT882/LlKxJCTp76M98AcrmCEJL039WLwkaCD6tRow7DMPt+32EZU5C/kODgkAcP7r569aKY0wkO1j/ABl26dGHOvO8/adDY2dnl/IXT6elp4eG9CSGf9xt88eL5CROH9ewR6eTkfPnyXyazacaPPxd8zpGfDTh16ujX34z4tGO3+PjYjZtW1aheu3q1WgWfQ1zc602b11geKhSKnj0imzVttXnLmgULZz179iS4XIX/3L2VmKshcnN39/D28tm5e4tCqUxPTwvv2uvjI4GFr49feNdee/b+NnnKmEYNmyYlJf6+f+fsWYvLf3DzVO/eXxw7fnjUmC+7d/vMxdm1IN8DbAP6A2yQg4NjuaDyFy6cZhgmKKj82NGTq1evxZ37vfSXdb+uXLR12zqGYYKDQ7p2iSjUnH19/efNWbpqzZJ5P/2gVNq1atl+yFejC3VeXnRM1PoNK3JH7dkjUiwWz529ZPGSuQcO7lap1E0at3B01OQ5OcMwU6bMmvfTD0uXzXd392zWtPXHR4Lchg0d6+7usW/fjitX/nZxcQ1r1MzN1f3Dk/h4+86ds2TFikUbNq50d/No1KjZlasXSyovTQy/c1nBtu3eXT88fJNIJKUd5I0dP5O67b1dveW0g5QWybH6v/dH9ZoorBJKjCHHNzMdh/DffWVL4l/m3Dj1utuoYn+hxMR7t27tat58/bs/wvoHANim1WuWHji4+93xwcH50ovuAAAMj0lEQVQVHz26l9cUZOkv6wMCyhR3AJlUrjfo8pxk+7bDKpWqqAIUN/QHANimnj37duwY/u54EcOY37PdJd9NVUUSwKDXS99zoJ11nayD/gAA2+To4MjvlBqbCVDccPwuAADwgf4AAAA+0B8AAMAH+gMAAPhAfwAAAB/oDwAA4AP9AQAAfKA/AACAD/QHAADwgf4AAAA+0B9gBRzdGbMZF4ouOWaT2dFdcAsHsdhspykttxbPl5llHdwoXyBZcH8iAO9S2pmTonNopyhFEqNzlGoz7RRvc/IQxTzWGQ2CC0ZFwiutnb2Jbgb0B1iBsqFsYnQW7RSlSEJUVrmqQlzhq1hPHP0YfwmEEJIUkxUUSjkD+gOsgF95kZuP/uLhONpBSoWLh+PcfPS+5YW4cGjanfxzMiE5Nu+bZ5Qef+2P9Q02eAZS/h3h+u1gHeq0JleOZZ3f98rFR+3uqxSJhbh0s2pmkzkhWpv4KtPVx1CntbDuPJhb7wlk+89R5WrY29krnTzkbGnammUymhOitHEvMvwrGKs1pv87Qn+A1ajTmol6qH9yO/nBZVFyXGlabJQIJw+RUmWu0pD4CXLNw0IiYyK/YW6dy3j9JOPVA1F6Ykn/JRiNpqwsraOjuoRflxDi7MEo7dnaLYhXWUH8jtAfYE18y4t8y3ODgvj3Y3Os5lOtGiaqGsYNlnTmO3eezJ+/fsPMWSX8uv9Ff7XDwmr+XAAAQFDQHwAAwAf6AwCgEEQiJiDAm3YKQUB/AAAUgtnMvngRQzuFIKA/AAAKgWEYNzdn2ikEAf0BAFAILMsmJCTTTiEI6A8AgEIQiRgfH3faKQQB/QEAUAhmMxsdHU87hSCgPwAACkEkYry93WinEAT0BwBAIZjNbExMAu0UgoD+AAAAPtAfAACFgP3nFugPAIBCwP5zC/QHAADwgf4AACgEhmGcnBxopxAE9AcAQCGwLJuSkk47hSCgPwAAgA/0BwBAITAMcXBQ0U4hCOgPAIBCYFmSnp5FO4UgoD8AAIAP9AcAQCEwDOPi4kg7hSCgPwAACoFl2aSkNNopBEFCOwAIVFraC4bBnwfA2zIyXptMutTU57SDlJDMzLj3/QgLCMiDRlPuypU1tFMACNGrVzlSaerlyytoByk5Tk4heY5nWJYt8TAAANbqzp078+fP37BhA+0g9GH/BwAA8IH+AAAAPtAfAADAB/oDAAD4QH8AABSCSCQKCAignUIQ0B8AAIVgNptfvHhBO4UgoD8AAIAP9AcAAPCB/gAAAD7QHwAAwAf6AwCgEHD8lQX6AwCgEHD8lQX6AwAA+EB/AAAAH+gPAADgA/0BAAB8oD8AAAqBYRhnZ2faKQQB/QEAUAgsyyYnJ9NOIQjoDwAA4AP9AQAAfKA/AACAD/QHAEAhMAzj5uZGO4UgoD8AAAqBZdmEhATaKQQB/QEAAHygPwAAgA/0BwBAIeD67RboDwCAQsD12y3QHwAAwAf6AwAA+EB/AAAUAs7/sEB/AAAUAs7/sEB/AAAAH+gPAIBCEIlEfn5+tFMIAvoDAKAQzGbzq1evaKcQBPQHAADwgf4AACgEhmE0Gg3tFIKA/gAAKASWZVNTU2mnEAT0BwBAIWD/uQX6AwCgELD/3AL9AQBQCAzDuLq60k4hCAzLsrQzAAAIXWRkZEpKCsuyer0+IyPD1dWVGz5x4gTtaNRg/QMAIH9hYWHx8fHx8fGpqakmkykuLi4+Pl4ikdDORRP6AwAgf926dfP19c09hmXZsLAweonoQ38AAOTP1dW1devWDMNYxri7u/ft25dqKMrQHwAABdKzZ0/LKgjLsp988om/vz/tUDShPwAACsTFxcWyCuLr69uvXz/aiShDfwAAFFSPHj18fX1Zlm3QoEFAQADtOJSV6oMHAKCU0GaatBkmcxGcreDQIqzrmTNnPm3TJzFG/5HzYllWphDZ2YulMqv8Ko/zPwDABpkM5md3sx9cy8xIMSZG50hlIkcPpTb9Y5f4RYsRM0adWa81MSLi7m/nVUYeXE3l5iunnaug0B8AYFP0OvPZPUlPb2cqHeVqNzu1i1IiE+c+bkqATEazQWtIi8vOSsp2cJZU+cQ+pLY97VD5Q38AgO04fzD59tkU93LOLv4OtLPwpM8xJjxONukNTXu4+pe3ox3nQ9AfAGAjtsx+Kdeo3AJt4eYc2gxdWkx6UGV5nVZOtLO8F/oDAKyeNtO47rvnZet5Kx2sZudBQcQ9SrK3Z9v396AdJG/oDwCwbplpxr3LXvtV82JEgt7JwU/c42QPH3HTcGfaQfJglQeNAQBYbJn5wifU0ybLgxDiUc45MdZ8fn8S7SB5QH8AgBXbvSTGr4anWGLLizLXMk4vn+gf/pNBO8jbbPlDBwDbdvNsqtEkVmkUtIMUO88Kbse3xNFO8Tb0BwBYq78OJbkFCXHHQJETiRj3spoLB4W1FQv9AQBW6crxFLcyGtvecpWbW1mnB1cz9Dkm2kH+X2n56AHAxty+kObgrqKdIg+JSa/GT633z61jRT5nOye7u5cEtBcE/QEA1ifptY4QRmYnpR2kRKld7R7dyKKd4v+hPwDA+jy9naVyFvS1PYqD2kWZ8CrHaDDTDvIGrt8OANYn7qVO6VhcG6/+urznzIVtaenxzk7eNaq2btowUiqVR8c8WLrmy4F9Fx45tjwm9qGTxqtD6+FVKjbmJsnMStl/ZOF/7p+VSuRBZWoVUzBCiL2rIu6lzidIWXwvUXDoDwCwPhkpRkdfcXHM+dip1WcubGvUIMLDrUx84ovT57YkJr7q3f17QojBoNuy49suHcY5abyOnlq1bdfUb8ftV6k0BqN+5YYRSUmvGjfs4+zk9delPcURjCOWiLLSjMU3/0JBfwCA9cnOMLnIi37xlZaecPLshj7dp1et0pwb42jvuufg3M7tx3IPu3QYVz20FSGkfauhi379/Mnzf6pWbnbh4q7XsY8Gf76kfLm6hJBAv9B5v0QUeTaOSCrOThfKIVjoDwCwPnYOUkkx3LPv0ZPLJpNx6+7vtu7+7r/jWEJIWkY890AmfbPhyEnjRQhJz0gghNy5d8bLoxxXHoQQkahYVow4UoXEZBLKRQvRHwBgfXIyDQadSW5XxBWSnpFICBkYuUDj6J57vIuzb2zck9xjJGIpIcRsNhFCUtNifbwqFG2S99FrDVKZUK4xjP4AAOtjZy8x6kzyoj5+V6l8c9cpd7fAgk+lVjllZqUUbZL3MRtMdg5CWW7j+F0AsD4uXjKToeh3AwSXrc0wzPlLOy1jdHptvlP5eFV4FX03PuFFked5l1jMqByLcftYoaA/AMD6uPvLspLyX7IXlquLX6P6EXfvn1u3ZdylawdOnF43Z2G3qJj7H56qWVg/hhEtXzfk1NmNV/85vPfQT0UejGM2s8nRWV6Bgjh4F9uvAMAqla2ivvhHilcxzLlTu9EaR/fzF3c9eHzRwd61SqWmjg7uH57E1cX3y36LDx395eip1RpHj9CKTR8+vlQM0UhGQrZvBQFdsgX3HwQAq/Tb/CiNn7ON3bD2w17fS6gRZhdSx4F2kDew/gEAVqlamMPNC+lKB7f3PeHIseV/XcnjVD5fr5Co13lvkhrx5RoP9zJFlfDI8eV/Xc4jgFQiNxh1eU4yZdwBhSLvNQyTwZQWlx1Sx7Oo4n08rH8AgLXaOP2FR4i7Qi3L86dZ2Wk6XR5XG2SY9y73HB3cxeIi+1b9vgBGo0EiyfvIMY2jp0iU927p1/cTq9RVhDZ0LKp4Hw/9AQDW6umdzEvHMrwq5rN/wgbotcb4h/GRk/xoB/kfOP4KAKxV2SpqF3dxSnQ67SDF7tWN2PZfCK4m0R8AYMVaR7rnpGRmJRf9sbzCEX0nrlFnZ2dPwR0pgO1XAGD1di2OsXN1UDkL5cSIIvTqZlzDjo5lqwjosF0LrH8AgNXrMco7PSYl1eY2ZL28HlOlvp0wywPrHwBgO45vjU+INbsEOMpVeR+RZUWSozJ0qZmNw519goR7m0X0BwDYjsc3M8/9niRXy538HJT2gtthkC+WZTMSs+MfJfuUUzbv6SpXCuVSV3lCfwCArfnPxfSb59Ky0kxqFzu1q1IsFUvlYolczDAM7WhvMxnNRp3RqDMZcowZCVlpcdqQeo61Wzhq3KxgFQr9AQC2KT3Z8PR2VuxLfVKMTptptHOQJsfk0A71PyQyEWFZhVpiZy9291cEVlQGVhLoro48oT8AAIAPHH8FAAB8oD8AAIAP9AcAAPCB/gAAAD7QHwAAwAf6AwAA+EB/AAAAH/8H6DYavTilPrcAAAAASUVORK5CYII=", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "master_flo.draw()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# master_flo.invoke(\"Write an article about CR7\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "reflection_agent = FloReflectionAgent.create(\n", + " session,\n", + " \"journal-reflection\",\n", + " \"You are critic who looks are the article and create a list of improvements that can be done.\",\n", + " Delegate(to=[\"Marketing\"], retry=1)\n", + ")\n", + "\n", + "journal_company_with_reflection = FloTeam.create(session, \"Newspaper\", [marketing_flo, editorial_flo, reflection_agent])\n", + "\n", + "company = FloLinear.create(\n", + " session,\n", + " \"linear-router\",\n", + " journal_company_with_reflection\n", + ")\n", + "\n", + "company_flo = Flo.create(session, routed_team=company)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "company_flo.draw()" + ] } ], - "source": [ - "company_flo.draw()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": ".venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} + "nbformat": 4, + "nbformat_minor": 2 + } \ No newline at end of file diff --git a/examples/python/tool_error_handling.py b/examples/python/tool_error_handling.py index 5686df5..ff857d8 100644 --- a/examples/python/tool_error_handling.py +++ b/examples/python/tool_error_handling.py @@ -4,7 +4,7 @@ from pydantic import BaseModel, Field from typing import List from dotenv import load_dotenv -from flo_ai.tools.flo_tool import flotool +from flo_ai import flotool import asyncio load_dotenv() diff --git a/flo_ai/__init__.py b/flo_ai/__init__.py index 2ec5d57..d0b03af 100644 --- a/flo_ai/__init__.py +++ b/flo_ai/__init__.py @@ -1,4 +1,5 @@ from flo_ai.core import Flo as Flo +from flo_ai.tools.flo_tool import flotool as flotool from flo_ai.models.flo_team import FloTeam as FloTeam from flo_ai.models.flo_agent import FloAgent as FloAgent from flo_ai.router.flo_linear import FloLinear as FloLinear diff --git a/flo_ai/core.py b/flo_ai/core.py index c817605..a42ac24 100644 --- a/flo_ai/core.py +++ b/flo_ai/core.py @@ -18,6 +18,7 @@ set_logger_internal, FloLogConfig, ) +from flo_ai.models.flo_agent import FloAgent from langchain.tools import StructuredTool @@ -75,8 +76,13 @@ def build( raise FloException("""Either yaml or routed_team should be not None""") @staticmethod - def create(session: FloSession, routed_team: FloRouter): - return Flo(session, routed_team.build_routed_team()) + def create(session: FloSession, routed_team: Union[FloRouter, FloAgent]): + runnable = ( + routed_team.build_routed_team() + if isinstance(routed_team, FloRouter) + else routed_team + ) + return Flo(session, runnable) @staticmethod def set_log_level(log_level: str): diff --git a/flo_ai/models/flo_tool_agent.py b/flo_ai/models/flo_tool_agent.py index 6610e38..df52892 100644 --- a/flo_ai/models/flo_tool_agent.py +++ b/flo_ai/models/flo_tool_agent.py @@ -14,13 +14,13 @@ def __init__(self, name: str, executor: Runnable, model_name: str) -> None: def create( session: FloSession, name: str, - tool_runnable: Runnable, + tool: Runnable, ): model_name = 'default' return FloToolAgent.Builder( session=session, name=name, - tool_runnable=tool_runnable, + tool_runnable=tool, model_name=model_name, ).build() @@ -37,4 +37,4 @@ def __init__( self.model_name = model_name def build(self) -> Runnable: - return FloToolAgent(self.runnable, self, self.model_name) + return FloToolAgent(self.name, self.runnable, self.model_name) diff --git a/images/blog-image.png b/images/blog-image.png new file mode 100644 index 0000000..4650e41 Binary files /dev/null and b/images/blog-image.png differ diff --git a/images/customer-support.png b/images/customer-support.png new file mode 100644 index 0000000..e92f552 Binary files /dev/null and b/images/customer-support.png differ