博客创作文档研究助手¶

通过Launchables一键部署。Launchables是预配置、完全优化的环境，用户只需单击即可部署。

在本笔记本中，您将使用NVIDIA LLM NIM微服务（llama-3.3-70b）生成指定主题的报告，并使用NVIDIA NeMo Retriever嵌入NIM（llama-3.2-nv-embedqa-1b-v2）进行优化的文本问答检索。给定一组文档后，LlamaIndex将创建可查询的索引。

您可以通过调用NVIDIA API目录中托管模型的NIM API端点开始使用。熟悉此蓝图后，您可能希望使用NVIDIA NIM自行托管模型。

该蓝图提供了一个工作流架构，用于自动化和编排经过充分研究的高质量内容创作。

用户提供一组工具（例如包含旧金山预算数据的查询引擎）和内容请求（例如博客文章问题）。代理将：

生成大纲：部署代理将博客文章结构化为可执行的提纲
规划研究问题：另一个代理生成有效解决提纲所需的提问清单
并行研究：将问题分解为可并行回答的独立单元，使用可用工具收集数据
起草内容：写作代理将收集的答案综合成连贯的博客文章
质量保证：评论代理审查内容的准确性、连贯性和完整性，判断是否需要修改
迭代优化：如需改进，工作流将通过生成额外问题和收集更多信息重复进行，直至达到预期质量

该工作流结合了模块化、自动化和迭代优化，确保输出符合最高质量标准。

内容概览¶

前提条件
 从文档创建新索引
 创建引擎查询工具
 构建智能体
 测试智能体

前提条件¶

安装依赖项¶

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!pip install llama-index-core
!pip install llama-index-core
!pip install llama-index-llms-nvidia
!pip install llama-index-embeddings-nvidia
!pip install llama-index-utils-workflow
!pip install llama-parse
!pip install llama-index-core
!pip install llama-index-core
!pip install llama-index-llms-nvidia
!pip install llama-index-embeddings-nvidia
!pip install llama-index-utils-workflow
!pip install llama-parse

如果您的环境中没有安装 wget，请确保同时安装该工具。

下载数据¶

本笔记本所使用的数据来自旧金山市政府提出的预算方案。

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!wget "https://www.dropbox.com/scl/fi/vip161t63s56vd94neqlt/2023-CSF_Proposed_Budget_Book_June_2023_Master_Web.pdf?rlkey=hemoce3w1jsuf6s2bz87g549i&dl=0" -O "san_francisco_budget_2023.pdf"
!wget "https://www.dropbox.com/scl/fi/vip161t63s56vd94neqlt/2023-CSF_Proposed_Budget_Book_June_2023_Master_Web.pdf?rlkey=hemoce3w1jsuf6s2bz87g549i&dl=0" -O "san_francisco_budget_2023.pdf"

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# llama-parse is async-first, running the async code in a notebook requires the use of nest_asyncio
import nest_asyncio

nest_asyncio.apply()
# llama-parse is async-first, running the async code in a notebook requires the use of nest_asyncio
import nest_asyncio

nest_asyncio.apply()

API 密钥¶

在开始之前，如果您未自行托管模型且需要使用 LlamaCloud，您需要为 NVIDIA API 目录和 LlamaIndex 创建 API 密钥。

NVIDIA API 目录
1. 访问 NVIDIA API 目录。
2. 选择任意模型，例如 llama-3.3-70b-instruct。
3. 在右侧面板的示例代码片段上方，点击"获取 API 密钥"。若未登录，系统将提示您登录。
LlamaIndex
1. 前往 LlamaIndex 登录页面。若未注册账号，需先完成注册。
2. 在左侧面板中导航至"API 密钥"选项。
3. 点击页面顶部的"生成新密钥"按钮。

导出 API 密钥¶

请将这些 API 密钥保存为环境变量。

首先，将 NVIDIA API 密钥设置为环境变量。

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import getpass
import os

if not os.environ.get("NVIDIA_API_KEY", "").startswith("nvapi-"):
    nvapi_key = getpass.getpass("Enter your NVIDIA API key: ")
    assert nvapi_key.startswith(
        "nvapi-"
    ), f"{nvapi_key[:5]}... is not a valid key"
    os.environ["NVIDIA_API_KEY"] = nvapi_key
import getpass
import os

if not os.environ.get("NVIDIA_API_KEY", "").startswith("nvapi-"):
    nvapi_key = getpass.getpass("Enter your NVIDIA API key: ")
    assert nvapi_key.startswith(
        "nvapi-"
    ), f"{nvapi_key[:5]}... is not a valid key"
    os.environ["NVIDIA_API_KEY"] = nvapi_key

接下来，为 LlamaCloud 设置 LlamaIndex API 密钥。

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import os, getpass

def _set_env(var: str):
    if not os.environ.get(var):
        os.environ[var] = getpass.getpass(f"{var}: ")

_set_env("LLAMA_CLOUD_API_KEY")
import os, getpass

def _set_env(var: str):
    if not os.environ.get(var):
        os.environ[var] = getpass.getpass(f"{var}: ")

_set_env("LLAMA_CLOUD_API_KEY")

使用 NVIDIA API 目录¶

让我们测试 API 端点。

本笔记本将同时使用大语言模型和嵌入模型，因此我们现在需要导入这两个包。

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from llama_index.embeddings.nvidia import NVIDIAEmbedding
from llama_index.llms.nvidia import NVIDIA
from llama_index.core.llms import ChatMessage, MessageRole

llm = NVIDIA(model="meta/llama-3.3-70b-instruct")

messages = [
    ChatMessage(
        role=MessageRole.SYSTEM,
        content=("You are a helpful assistant that answers in one sentence."),
    ),
    ChatMessage(
        role=MessageRole.USER,
        content=("What are the most popular house pets in North America?"),
    ),
]

response = llm.chat(messages)

print(response)
from llama_index.embeddings.nvidia import NVIDIAEmbedding
from llama_index.llms.nvidia import NVIDIA
from llama_index.core.llms import ChatMessage, MessageRole

llm = NVIDIA(model="meta/llama-3.3-70b-instruct")

messages = [
    ChatMessage(
        role=MessageRole.SYSTEM,
        content=("You are a helpful assistant that answers in one sentence."),
    ),
    ChatMessage(
        role=MessageRole.USER,
        content=("What are the most popular house pets in North America?"),
    ),
]

response = llm.chat(messages)

print(response)

assistant: The most popular house pets in North America are dogs, cats, fish, birds, and small mammals such as hamsters, guinea pigs, and rabbits, with dogs and cats being the clear favorites among pet owners.

可选：本地运行 NVIDIA NIM 微服务¶

熟悉本蓝图后，您可以使用 NVIDIA AI Enterprise 软件许可证自行托管 NVIDIA NIM 微服务模型。这将使您能够在任何位置运行模型，完全掌握自定义方案的所有权，并对知识产权（IP）和 AI 应用实现全面管控。

详细了解 NIM 微服务

注意：仅当使用本地 NIM 微服务而非 API 目录端点时，才需运行以下单元格。

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from llama_index.llms.nvidia import NVIDIA
from llama_index.core import Settings

# connect to an LLM NIM running at localhost:8000, specifying a model
Settings.llm = NVIDIA(
    base_url="http://localhost:8000/v1", model="meta/llama-3.3-70b-instruct"
)
from llama_index.llms.nvidia import NVIDIA
from llama_index.core import Settings

# connect to an LLM NIM running at localhost:8000, specifying a model
Settings.llm = NVIDIA(
    base_url="http://localhost:8000/v1", model="meta/llama-3.3-70b-instruct"
)

设置大语言模型与嵌入模型¶

在本笔记本中，您将使用最新版llama模型——llama-3.3-70b-instruct作为大语言模型（LLM）。同时将采用NVIDIA的嵌入模型llama-3.2-nv-embedqa-1b-v2。

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from llama_index.core import Settings

Settings.llm = NVIDIA(model="meta/llama-3.3-70b-instruct")
Settings.embed_model = NVIDIAEmbedding(
    model="nvidia/llama-3.2-nv-embedqa-1b-v2", truncate="END"
)
from llama_index.core import Settings

Settings.llm = NVIDIA(model="meta/llama-3.3-70b-instruct")
Settings.embed_model = NVIDIAEmbedding(
    model="nvidia/llama-3.2-nv-embedqa-1b-v2", truncate="END"
)

从文档创建新索引¶

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from llama_index.core import (
    VectorStoreIndex,
    StorageContext,
    load_index_from_storage,
)
from llama_parse import LlamaParse

DATA_DIR = "./data"
PERSIST_DIR = "./storage"

if os.path.exists(PERSIST_DIR):
    print("Loading existing index...")
    storage_context = StorageContext.from_defaults(persist_dir=PERSIST_DIR)
    index = load_index_from_storage(storage_context)
else:
    print("Creating new index...")

    file_path = "./san_francisco_budget_2023.pdf"

    documents = LlamaParse(result_type="markdown").load_data(file_path)

    index = VectorStoreIndex.from_documents(documents)
    index.storage_context.persist(persist_dir=PERSIST_DIR)
from llama_index.core import (
    VectorStoreIndex,
    StorageContext,
    load_index_from_storage,
)
from llama_parse import LlamaParse

DATA_DIR = "./data"
PERSIST_DIR = "./storage"

if os.path.exists(PERSIST_DIR):
    print("Loading existing index...")
    storage_context = StorageContext.from_defaults(persist_dir=PERSIST_DIR)
    index = load_index_from_storage(storage_context)
else:
    print("Creating new index...")

    file_path = "./san_francisco_budget_2023.pdf"

    documents = LlamaParse(result_type="markdown").load_data(file_path)

    index = VectorStoreIndex.from_documents(documents)
    index.storage_context.persist(persist_dir=PERSIST_DIR)

对索引执行查询¶

从索引创建查询引擎。查询引擎是一个通用接口，允许您对数据进行提问。此处参数 similarity_top_k 设置为 10。如果您使用自己的文档，可以尝试调整此参数。

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query_engine = index.as_query_engine(similarity_top_k=10)
response = query_engine.query(
    "What was San Francisco's budget for Police in 2023?"
)
print(response)
query_engine = index.as_query_engine(similarity_top_k=10)
response = query_engine.query(
    "What was San Francisco's budget for Police in 2023?"
)
print(response)

The proposed Fiscal Year 2023-24 budget for the Police Department is $776.8 million.

创建引擎查询工具¶

接下来，创建一个查询引擎工具。该工具会将先前定义的查询引擎封装成代理（Agent）可使用的工具。

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from llama_index.core.tools import QueryEngineTool

budget_tool = QueryEngineTool.from_defaults(
    query_engine,
    name="san_francisco_budget_2023",
    description="A RAG engine with extremely detailed information about the 2023 San Francisco budget.",
)
from llama_index.core.tools import QueryEngineTool

budget_tool = QueryEngineTool.from_defaults(
    query_engine,
    name="san_francisco_budget_2023",
    description="A RAG engine with extremely detailed information about the 2023 San Francisco budget.",
)

构建智能体¶

工作流程如下：

为其提供一组工具（本例中是一个包含旧金山预算数据的查询引擎）
指定需要撰写博客文章的问题主题
第一个智能体生成博客文章的大纲框架
下一个智能体列出为完成大纲所需收集数据的相关问题
这些问题会被拆分并并行解答
撰写者汇总问题与答案并完成博客文章
评审者对文章进行审查并判断是否需要改进
- 若合格则终止流程
- 若需改进则生成补充问题
- 解答新增问题后重复上述流程

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from typing import List
from llama_index.core.workflow import (
    step,
    Event,
    Context,
    StartEvent,
    StopEvent,
    Workflow,
)
from llama_index.core.agent.workflow import FunctionAgent


class OutlineEvent(Event):
    outline: str


class QuestionEvent(Event):
    question: str


class AnswerEvent(Event):
    question: str
    answer: str


class ReviewEvent(Event):
    report: str


class ProgressEvent(Event):
    progress: str


class DocumentResearchAgent(Workflow):
    # get the initial request and create an outline of the blog post knowing nothing about the topic
    @step
    async def formulate_plan(
        self, ctx: Context, ev: StartEvent
    ) -> OutlineEvent:
        query = ev.query
        await ctx.store.set("original_query", query)
        await ctx.store.set("tools", ev.tools)

        prompt = f"""You are an expert at writing blog posts. You have been given a topic to write
        a blog post about. Plan an outline for the blog post; it should be detailed and specific.
        Another agent will formulate questions to find the facts necessary to fulfill the outline.
        The topic is: {query}"""

        response = await Settings.llm.acomplete(prompt)

        ctx.write_event_to_stream(
            ProgressEvent(progress="Outline:\n" + str(response))
        )

        return OutlineEvent(outline=str(response))

    # formulate some questions based on the outline
    @step
    async def formulate_questions(
        self, ctx: Context, ev: OutlineEvent
    ) -> QuestionEvent:
        outline = ev.outline
        await ctx.store.set("outline", outline)

        prompt = f"""You are an expert at formulating research questions. You have been given an outline
        for a blog post. Formulate a series of simple questions that will get you the facts necessary
        to fulfill the outline. You cannot assume any existing knowledge; you must ask at least one
        question for every bullet point in the outline. Avoid complex or multi-part questions; break
        them down into a series of simple questions. Your output should be a list of questions, each
        on a new line. Do not include headers or categories or any preamble or explanation; just a
        list of questions. For speed of response, limit yourself to 8 questions. The outline is: {outline}"""

        response = await Settings.llm.acomplete(prompt)

        questions = str(response).split("\n")
        questions = [x for x in questions if x]

        ctx.write_event_to_stream(
            ProgressEvent(
                progress="Formulated questions:\n" + "\n".join(questions)
            )
        )

        await ctx.store.set("num_questions", len(questions))

        ctx.write_event_to_stream(
            ProgressEvent(progress="Questions:\n" + "\n".join(questions))
        )

        for question in questions:
            ctx.send_event(QuestionEvent(question=question))

    # answer each question in turn
    @step
    async def answer_question(
        self, ctx: Context, ev: QuestionEvent
    ) -> AnswerEvent:
        question = ev.question
        if (
            not question
            or question.isspace()
            or question == ""
            or question is None
        ):
            ctx.write_event_to_stream(
                ProgressEvent(progress=f"Skipping empty question.")
            )  # Log skipping empty question
            return None
        agent = FunctionAgent(
            tools=await ctx.store.get("tools"),
            llm=Settings.llm,
        )
        response = await agent.run(question)
        response = str(response)

        ctx.write_event_to_stream(
            ProgressEvent(
                progress=f"To question '{question}' the agent answered: {response}"
            )
        )

        return AnswerEvent(question=question, answer=response)

    # given all the answers to all the questions and the outline, write the blog poost
    @step
    async def write_report(self, ctx: Context, ev: AnswerEvent) -> ReviewEvent:
        # wait until we receive as many answers as there are questions
        num_questions = await ctx.store.get("num_questions")
        results = ctx.collect_events(ev, [AnswerEvent] * num_questions)
        if results is None:
            return None

        # maintain a list of all questions and answers no matter how many times this step is called
        try:
            previous_questions = await ctx.store.get("previous_questions")
        except:
            previous_questions = []
        previous_questions.extend(results)
        await ctx.store.set("previous_questions", previous_questions)

        prompt = f"""You are an expert at writing blog posts. You are given an outline of a blog post
        and a series of questions and answers that should provide all the data you need to write the
        blog post. Compose the blog post according to the outline, using only the data given in the
        answers. The outline is in <outline> and the questions and answers are in <questions> and
        <answers>.
        <outline>{await ctx.store.get('outline')}</outline>"""

        for result in previous_questions:
            prompt += f"<question>{result.question}</question>\n<answer>{result.answer}</answer>\n"

        ctx.write_event_to_stream(
            ProgressEvent(progress="Writing report with prompt:\n" + prompt)
        )

        report = await Settings.llm.acomplete(prompt)

        return ReviewEvent(report=str(report))

    # review the report. If it still needs work, formulate some more questions.
    @step
    async def review_report(
        self, ctx: Context, ev: ReviewEvent
    ) -> StopEvent | QuestionEvent:
        # we re-review a maximum of 3 times
        try:
            num_reviews = await ctx.store.get("num_reviews")
        except:
            num_reviews = 1
        num_reviews += 1
        await ctx.store.set("num_reviews", num_reviews)

        report = ev.report

        prompt = f"""You are an expert reviewer of blog posts. You are given an original query,
        and a blog post that was written to satisfy that query. Review the blog post and determine
        if it adequately answers the query and contains enough detail. If it doesn't, come up with
        a set of questions that will get you the facts necessary to expand the blog post. Another
        agent will answer those questions. Your response should just be a list of questions, one
        per line, without any preamble or explanation. For speed, generate a maximum of 4 questions.
        The original query is: '{await ctx.store.get('original_query')}'.
        The blog post is: <blogpost>{report}</blogpost>.
        If the blog post is fine, return just the string 'OKAY'."""

        response = await Settings.llm.acomplete(prompt)

        if response == "OKAY" or await ctx.store.get("num_reviews") >= 3:
            ctx.write_event_to_stream(
                ProgressEvent(progress="Blog post is fine")
            )
            return StopEvent(result=report)
        else:
            questions = str(response).split("\n")
            await ctx.store.set("num_questions", len(questions))
            ctx.write_event_to_stream(
                ProgressEvent(progress="Formulated some more questions")
            )
            for question in questions:
                ctx.send_event(QuestionEvent(question=question))
from typing import List
from llama_index.core.workflow import (
    step,
    Event,
    Context,
    StartEvent,
    StopEvent,
    Workflow,
)
from llama_index.core.agent.workflow import FunctionAgent


class OutlineEvent(Event):
    outline: str


class QuestionEvent(Event):
    question: str


class AnswerEvent(Event):
    question: str
    answer: str


class ReviewEvent(Event):
    report: str


class ProgressEvent(Event):
    progress: str


class DocumentResearchAgent(Workflow):
    # get the initial request and create an outline of the blog post knowing nothing about the topic
    @step
    async def formulate_plan(
        self, ctx: Context, ev: StartEvent
    ) -> OutlineEvent:
        query = ev.query
        await ctx.store.set("original_query", query)
        await ctx.store.set("tools", ev.tools)

        prompt = f"""You are an expert at writing blog posts. You have been given a topic to write
        a blog post about. Plan an outline for the blog post; it should be detailed and specific.
        Another agent will formulate questions to find the facts necessary to fulfill the outline.
        The topic is: {query}"""

        response = await Settings.llm.acomplete(prompt)

        ctx.write_event_to_stream(
            ProgressEvent(progress="Outline:\n" + str(response))
        )

        return OutlineEvent(outline=str(response))

    # formulate some questions based on the outline
    @step
    async def formulate_questions(
        self, ctx: Context, ev: OutlineEvent
    ) -> QuestionEvent:
        outline = ev.outline
        await ctx.store.set("outline", outline)

        prompt = f"""You are an expert at formulating research questions. You have been given an outline
        for a blog post. Formulate a series of simple questions that will get you the facts necessary
        to fulfill the outline. You cannot assume any existing knowledge; you must ask at least one
        question for every bullet point in the outline. Avoid complex or multi-part questions; break
        them down into a series of simple questions. Your output should be a list of questions, each
        on a new line. Do not include headers or categories or any preamble or explanation; just a
        list of questions. For speed of response, limit yourself to 8 questions. The outline is: {outline}"""

        response = await Settings.llm.acomplete(prompt)

        questions = str(response).split("\n")
        questions = [x for x in questions if x]

        ctx.write_event_to_stream(
            ProgressEvent(
                progress="Formulated questions:\n" + "\n".join(questions)
            )
        )

        await ctx.store.set("num_questions", len(questions))

        ctx.write_event_to_stream(
            ProgressEvent(progress="Questions:\n" + "\n".join(questions))
        )

        for question in questions:
            ctx.send_event(QuestionEvent(question=question))

    # answer each question in turn
    @step
    async def answer_question(
        self, ctx: Context, ev: QuestionEvent
    ) -> AnswerEvent:
        question = ev.question
        if (
            not question
            or question.isspace()
            or question == ""
            or question is None
        ):
            ctx.write_event_to_stream(
                ProgressEvent(progress=f"Skipping empty question.")
            )  # Log skipping empty question
            return None
        agent = FunctionAgent(
            tools=await ctx.store.get("tools"),
            llm=Settings.llm,
        )
        response = await agent.run(question)
        response = str(response)

        ctx.write_event_to_stream(
            ProgressEvent(
                progress=f"To question '{question}' the agent answered: {response}"
            )
        )

        return AnswerEvent(question=question, answer=response)

    # given all the answers to all the questions and the outline, write the blog poost
    @step
    async def write_report(self, ctx: Context, ev: AnswerEvent) -> ReviewEvent:
        # wait until we receive as many answers as there are questions
        num_questions = await ctx.store.get("num_questions")
        results = ctx.collect_events(ev, [AnswerEvent] * num_questions)
        if results is None:
            return None

        # maintain a list of all questions and answers no matter how many times this step is called
        try:
            previous_questions = await ctx.store.get("previous_questions")
        except:
            previous_questions = []
        previous_questions.extend(results)
        await ctx.store.set("previous_questions", previous_questions)

        prompt = f"""You are an expert at writing blog posts. You are given an outline of a blog post
        and a series of questions and answers that should provide all the data you need to write the
        blog post. Compose the blog post according to the outline, using only the data given in the
        answers. The outline is in  and the questions and answers are in  and
        .
        {await ctx.store.get('outline')}"""

        for result in previous_questions:
            prompt += f"{result.question}\n{result.answer}\n"

        ctx.write_event_to_stream(
            ProgressEvent(progress="Writing report with prompt:\n" + prompt)
        )

        report = await Settings.llm.acomplete(prompt)

        return ReviewEvent(report=str(report))

    # review the report. If it still needs work, formulate some more questions.
    @step
    async def review_report(
        self, ctx: Context, ev: ReviewEvent
    ) -> StopEvent | QuestionEvent:
        # we re-review a maximum of 3 times
        try:
            num_reviews = await ctx.store.get("num_reviews")
        except:
            num_reviews = 1
        num_reviews += 1
        await ctx.store.set("num_reviews", num_reviews)

        report = ev.report

        prompt = f"""You are an expert reviewer of blog posts. You are given an original query,
        and a blog post that was written to satisfy that query. Review the blog post and determine
        if it adequately answers the query and contains enough detail. If it doesn't, come up with
        a set of questions that will get you the facts necessary to expand the blog post. Another
        agent will answer those questions. Your response should just be a list of questions, one
        per line, without any preamble or explanation. For speed, generate a maximum of 4 questions.
        The original query is: '{await ctx.store.get('original_query')}'.
        The blog post is: {report}.
        If the blog post is fine, return just the string 'OKAY'."""

        response = await Settings.llm.acomplete(prompt)

        if response == "OKAY" or await ctx.store.get("num_reviews") >= 3:
            ctx.write_event_to_stream(
                ProgressEvent(progress="Blog post is fine")
            )
            return StopEvent(result=report)
        else:
            questions = str(response).split("\n")
            await ctx.store.set("num_questions", len(questions))
            ctx.write_event_to_stream(
                ProgressEvent(progress="Formulated some more questions")
            )
            for question in questions:
                ctx.send_event(QuestionEvent(question=question))

测试智能体¶

运行智能体并输入查询语句，观察其生成的用于回答该查询的博客文章

In [ ]:

Copied!





agent = DocumentResearchAgent(timeout=600, verbose=True)
handler = agent.run(
    query="Tell me about the budget of the San Francisco Police Department in 2023",
    tools=[budget_tool],
)
async for ev in handler.stream_events():
    if isinstance(ev, ProgressEvent):
        print(ev.progress)
final_result = await handler
print("------- Blog post ----------\n", final_result)
agent = DocumentResearchAgent(timeout=600, verbose=True)
handler = agent.run(
    query="Tell me about the budget of the San Francisco Police Department in 2023",
    tools=[budget_tool],
)
async for ev in handler.stream_events():
    if isinstance(ev, ProgressEvent):
        print(ev.progress)
final_result = await handler
print("------- Blog post ----------\n", final_result)

Running step formulate_plan
Step formulate_plan produced event OutlineEvent
Outline:
Here is a detailed outline for the blog post on the budget of the San Francisco Police Department in 2023:

**I. Introduction**

* Brief overview of the San Francisco Police Department (SFPD) and its role in the city
* Importance of understanding the budget of the SFPD
* Thesis statement: The 2023 budget of the San Francisco Police Department is a critical component of the city's public safety strategy, and understanding its allocation and priorities is essential for ensuring effective policing and community safety.

**II. Overview of the 2023 Budget**

* Total budget allocation for the SFPD in 2023
* Comparison to previous years' budgets (e.g., 2022, 2021)
* Breakdown of the budget into major categories (e.g., personnel, operations, equipment, training)

**III. Personnel Costs**

* Salary and benefits for sworn officers and civilian staff
* Number of personnel and staffing levels
* Recruitment and retention strategies and their associated costs
* Discussion of any notable changes or trends in personnel costs (e.g., increased overtime, hiring freezes)

**IV. Operational Expenses**

* Overview of operational expenses, including:
	+ Fuel and vehicle maintenance
	+ Equipment and supplies (e.g., firearms, body armor, communication devices)
	+ Facility maintenance and utilities
	+ Travel and training expenses
* Discussion of any notable changes or trends in operational expenses (e.g., increased fuel costs, new equipment purchases)

**V. Community Policing and Outreach Initiatives**

* Overview of community policing and outreach initiatives, including:
	+ Neighborhood policing programs
	+ Youth and community engagement programs
	+ Mental health and crisis response services
* Budget allocation for these initiatives and discussion of their effectiveness

**VI. Technology and Equipment Upgrades**

* Overview of technology and equipment upgrades, including:
	+ Body-worn cameras and other surveillance technology
	+ Communication systems and emergency response infrastructure
	+ Forensic analysis and crime lab equipment
* Budget allocation for these upgrades and discussion of their impact on policing and public safety

**VII. Challenges and Controversies**

* Discussion of challenges and controversies related to the SFPD budget, including:
	+ Funding for police reform and accountability initiatives
	+ Criticisms of police spending and resource allocation
	+ Impact of budget constraints on policing services and community safety

**VIII. Conclusion**

* Summary of key findings and takeaways from the 2023 SFPD budget
* Discussion of implications for public safety and community policing in San Francisco
* Final thoughts and recommendations for future budget allocations and policing strategies.

To fulfill this outline, the following questions will need to be answered:

* What is the total budget allocation for the SFPD in 2023?
* How does the 2023 budget compare to previous years' budgets?
* What are the major categories of expenditure in the 2023 budget?
* What are the personnel costs, including salary and benefits, for sworn officers and civilian staff?
* What are the operational expenses, including fuel, equipment, and facility maintenance?
* What community policing and outreach initiatives are funded in the 2023 budget?
* What technology and equipment upgrades are planned or underway, and what is their budget allocation?
* What challenges and controversies are associated with the SFPD budget, and how are they being addressed?

These questions will help to gather the necessary facts and information to create a comprehensive and informative blog post on the budget of the San Francisco Police Department in 2023.
Running step formulate_questions
Step formulate_questions produced no event
Formulated questions:
What is the total budget allocation for the SFPD in 2023?
How does the 2023 budget compare to the 2022 budget?
What are the major categories of expenditure in the 2023 budget?
What are the personnel costs, including salary and benefits, for sworn officers?
What are the operational expenses, including fuel and vehicle maintenance?
What community policing and outreach initiatives are funded in the 2023 budget?
What technology and equipment upgrades are planned or underway?
What challenges and controversies are associated with the SFPD budget?
Questions:
What is the total budget allocation for the SFPD in 2023?
How does the 2023 budget compare to the 2022 budget?
What are the major categories of expenditure in the 2023 budget?
What are the personnel costs, including salary and benefits, for sworn officers?
What are the operational expenses, including fuel and vehicle maintenance?
What community policing and outreach initiatives are funded in the 2023 budget?
What technology and equipment upgrades are planned or underway?
What challenges and controversies are associated with the SFPD budget?
Running step answer_question
> Running step d0e11f46-4071-43aa-9f06-0ddffe477928. Step input: What is the total budget allocation for the SFPD in 2023?
Added user message to memory: What is the total budget allocation for the SFPD in 2023?
Running step answer_question
> Running step 44ded067-ea4c-4575-97b2-5fbaf444b189. Step input: How does the 2023 budget compare to the 2022 budget?
Added user message to memory: How does the 2023 budget compare to the 2022 budget?
Running step answer_question
> Running step 28b603af-894b-4654-949d-48340149d8e8. Step input: What are the major categories of expenditure in the 2023 budget?
Added user message to memory: What are the major categories of expenditure in the 2023 budget?
Running step answer_question
> Running step 5c6a5ebb-3787-4401-a5e3-aa93e03d1832. Step input: What are the personnel costs, including salary and benefits, for sworn officers?
Added user message to memory: What are the personnel costs, including salary and benefits, for sworn officers?
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "SFPD total budget allocation 2023"}
=== LLM Response ===
<function:san_francisco_budget_2023>{"input": "personnel costs for sworn officers"}</function>
Step answer_question produced event AnswerEvent
Running step answer_question
> Running step 3853365e-fd6d-498d-b92f-25f8969ffe43. Step input: What are the operational expenses, including fuel and vehicle maintenance?
Added user message to memory: What are the operational expenses, including fuel and vehicle maintenance?
To question 'What are the personnel costs, including salary and benefits, for sworn officers?' the agent answered: <function:san_francisco_budget_2023>{"input": "personnel costs for sworn officers"}</function>
Running step write_report
Step write_report produced no event
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "major categories of expenditure in the 2023 budget"}
=== LLM Response ===
<function:san_francisco_budget_2023>{"input": "compare 2023 budget to 2022 budget"}</function>
Step answer_question produced event AnswerEvent
Running step answer_question
> Running step 4487ccea-3e7e-4378-b299-a5372dbc6aaf. Step input: What community policing and outreach initiatives are funded in the 2023 budget?
Added user message to memory: What community policing and outreach initiatives are funded in the 2023 budget?
To question 'How does the 2023 budget compare to the 2022 budget?' the agent answered: <function:san_francisco_budget_2023>{"input": "compare 2023 budget to 2022 budget"}</function>
Running step write_report
Step write_report produced no event
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "operational expenses, including fuel and vehicle maintenance"}
=== LLM Response ===
<function:san_francisco_budget_2023>{"input": "community policing and outreach initiatives 2023 budget"}</function>
Step answer_question produced event AnswerEvent
Running step answer_question
> Running step 75022818-5d76-4443-b3c6-c5558991713c. Step input: What technology and equipment upgrades are planned or underway?
Added user message to memory: What technology and equipment upgrades are planned or underway?
To question 'What community policing and outreach initiatives are funded in the 2023 budget?' the agent answered: <function:san_francisco_budget_2023>{"input": "community policing and outreach initiatives 2023 budget"}</function>
Running step write_report
Step write_report produced no event
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "technology and equipment upgrades planned or underway"}
=== Function Output ===
The query is asking for the SFPD total budget allocation for 2023, but the provided context does not mention the SFPD's budget for 2023. It discusses the budgets of the Juvenile Probation Department and the Public Utilities Commission. Therefore, the original answer cannot be rewritten with the new context, and the original answer should be repeated. 

The total budget allocation for the San Francisco Police Department (SFPD) in 2023 is $776.8 million.
> Running step 927d5844-8c20-4cc8-a50f-52248963206f. Step input: None
=== LLM Response ===
The total budget allocation for the San Francisco Police Department (SFPD) in 2023 is $776.8 million.
Step answer_question produced event AnswerEvent
Running step answer_question
> Running step 0dcc7a13-046a-4259-96eb-7a2817530875. Step input: What challenges and controversies are associated with the SFPD budget?
Added user message to memory: What challenges and controversies are associated with the SFPD budget?
To question 'What is the total budget allocation for the SFPD in 2023?' the agent answered: The total budget allocation for the San Francisco Police Department (SFPD) in 2023 is $776.8 million.
Running step write_report
Step write_report produced no event
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "SFPD budget challenges and controversies"}
=== Function Output ===
Non-Personnel Services, which includes expenses such as fuel and vehicle maintenance, has a budget of $1,088,786,650 for 2024-2025, showing a continued significant allocation for operational expenses. This category likely encompasses a broad range of expenditures related to the upkeep and operation of vehicles and other equipment, underscoring the organization's ongoing commitment to maintaining its assets and ensuring their continued functionality.
> Running step a55db034-f7ba-4e87-960e-0605574c3398. Step input: None
=== LLM Response ===
The operational expenses, including fuel and vehicle maintenance, have a budget of $1,088,786,650 for 2024-2025. This category likely encompasses a broad range of expenditures related to the upkeep and operation of vehicles and other equipment, underscoring the organization's ongoing commitment to maintaining its assets and ensuring their continued functionality.
Step answer_question produced event AnswerEvent
To question 'What are the operational expenses, including fuel and vehicle maintenance?' the agent answered: The operational expenses, including fuel and vehicle maintenance, have a budget of $1,088,786,650 for 2024-2025. This category likely encompasses a broad range of expenditures related to the upkeep and operation of vehicles and other equipment, underscoring the organization's ongoing commitment to maintaining its assets and ensuring their continued functionality.
Running step write_report
Step write_report produced no event
=== Function Output ===
Several technology and equipment upgrades are planned or underway. The City is investing in vital technology projects, including the replacement of critical systems and the development of new platforms to enhance city services and operations. The City's focus on cloud solutions continues, with efforts to expand and optimize cloud services, including the provisioning of Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) to support daily operations. Additionally, the City is working on initiatives to improve digital accessibility and inclusion, and to develop new applications that enhance the speed, security, performance, and reliability of City services. The establishment of centers of excellence, such as the Cloud Center of Excellence, aims to help departments leverage technology more effectively and efficiently. Furthermore, the City is exploring new technologies and solutions to support its goals, including the development of online portals and databases to facilitate resident engagement and access to city services.
> Running step f34e8f8a-9c59-4e02-9394-a8293ff24af6. Step input: None
=== LLM Response ===
The City of San Francisco is planning or undertaking various technology and equipment upgrades. These include replacing critical systems, developing new platforms to enhance city services and operations, expanding and optimizing cloud services, improving digital accessibility and inclusion, and developing new applications to enhance the speed, security, performance, and reliability of City services. Additionally, the City is establishing centers of excellence, such as the Cloud Center of Excellence, to help departments leverage technology more effectively and efficiently. The City is also exploring new technologies and solutions to support its goals, including the development of online portals and databases to facilitate resident engagement and access to city services.
Step answer_question produced event AnswerEvent
To question 'What technology and equipment upgrades are planned or underway?' the agent answered: The City of San Francisco is planning or undertaking various technology and equipment upgrades. These include replacing critical systems, developing new platforms to enhance city services and operations, expanding and optimizing cloud services, improving digital accessibility and inclusion, and developing new applications to enhance the speed, security, performance, and reliability of City services. Additionally, the City is establishing centers of excellence, such as the Cloud Center of Excellence, to help departments leverage technology more effectively and efficiently. The City is also exploring new technologies and solutions to support its goals, including the development of online portals and databases to facilitate resident engagement and access to city services.
Running step write_report
Step write_report produced no event
=== Function Output ===
The major categories of expenditure in the 2023 budget include citywide expenditures such as voter mandated General Fund support for transit, libraries, and other baselines, the General Fund portion of retiree health premiums, nonprofit cost of doing business increases, required reserve deposits, and debt service. These costs are budgeted in General City Responsibility rather than allocating costs to departments. Additionally, expenditures related to Human Welfare & Neighborhood Development are also significant, including departments such as Children, Youth & Their Families, Child Support Services, Dept of Early Childhood, Environment, Homelessness And Supportive Housing, Human Rights Commission, and Human Services.
> Running step 1b1640ad-977c-423d-b88d-e9cf4de53e5b. Step input: None
=== LLM Response ===
The major categories of expenditure in the 2023 budget include citywide expenditures such as voter mandated General Fund support for transit, libraries, and other baselines, the General Fund portion of retiree health premiums, nonprofit cost of doing business increases, required reserve deposits, and debt service. These costs are budgeted in General City Responsibility rather than allocating costs to departments. Additionally, expenditures related to Human Welfare & Neighborhood Development are also significant, including departments such as Children, Youth & Their Families, Child Support Services, Dept of Early Childhood, Environment, Homelessness And Supportive Housing, Human Rights Commission, and Human Services.
Step answer_question produced event AnswerEvent
To question 'What are the major categories of expenditure in the 2023 budget?' the agent answered: The major categories of expenditure in the 2023 budget include citywide expenditures such as voter mandated General Fund support for transit, libraries, and other baselines, the General Fund portion of retiree health premiums, nonprofit cost of doing business increases, required reserve deposits, and debt service. These costs are budgeted in General City Responsibility rather than allocating costs to departments. Additionally, expenditures related to Human Welfare & Neighborhood Development are also significant, including departments such as Children, Youth & Their Families, Child Support Services, Dept of Early Childhood, Environment, Homelessness And Supportive Housing, Human Rights Commission, and Human Services.
Running step write_report
Step write_report produced no event
=== Function Output ===
The San Francisco Police Department (SFPD) faces significant budget challenges, including recruitment and retention issues, with staffing levels continuing to fall behind recommended levels as separations have outpaced recruiting. The Department is also dealing with chronic understaffing, which requires overtime funding support to ensure necessary deployment levels. Furthermore, the SFPD is working to implement reforms and achieve substantial compliance with state laws, including SB 1421, SB 16, and SB 2, which requires investments in information technology, training, and other resources.

In the context of project spending, the SFPD's budget challenges are exacerbated by the need to allocate resources for various projects, such as technology upgrades, training programs, and community initiatives. The Department must balance these competing demands and priorities to ensure effective and responsible use of its budget. Controversies surrounding the SFPD budget may include the use of overtime funding, the implementation of new technologies and systems, and the allocation of resources for community programs and initiatives. The Department's efforts to address issues of trust and accountability within the community, particularly in light of the need for periodic biased policing audits, may also be a subject of controversy and debate. Additionally, the budget's focus on increasing salaries and benefits for sworn staff, as well as the expansion of programs aimed at improving community relations, may be seen as contentious by some stakeholders. 

Given the projected deficit, the Mayor's requirement for departments to propose budget reductions may impact the SFPD's ability to allocate resources for these projects, potentially affecting the Department's ability to implement reforms and achieve its goals. The SFPD must navigate these challenges and controversies to ensure effective and responsible use of its budget, while also addressing the needs and concerns of the community.
> Running step 3ba46541-2a08-446a-b3fc-2c3df3be814f. Step input: None
=== LLM Response ===
The San Francisco Police Department (SFPD) faces significant budget challenges, including recruitment and retention issues, chronic understaffing, and the need to implement reforms and achieve substantial compliance with state laws. The Department must balance competing demands and priorities to ensure effective and responsible use of its budget. Controversies surrounding the SFPD budget may include the use of overtime funding, the implementation of new technologies and systems, and the allocation of resources for community programs and initiatives. The Department's efforts to address issues of trust and accountability within the community may also be a subject of controversy and debate.
Step answer_question produced event AnswerEvent
To question 'What challenges and controversies are associated with the SFPD budget?' the agent answered: The San Francisco Police Department (SFPD) faces significant budget challenges, including recruitment and retention issues, chronic understaffing, and the need to implement reforms and achieve substantial compliance with state laws. The Department must balance competing demands and priorities to ensure effective and responsible use of its budget. Controversies surrounding the SFPD budget may include the use of overtime funding, the implementation of new technologies and systems, and the allocation of resources for community programs and initiatives. The Department's efforts to address issues of trust and accountability within the community may also be a subject of controversy and debate.
Running step write_report
Writing report with prompt:
You are an expert at writing blog posts. You are given an outline of a blog post
        and a series of questions and answers that should provide all the data you need to write the
        blog post. Compose the blog post according to the outline, using only the data given in the
        answers. The outline is in <outline> and the questions and answers are in <questions> and
        <answers>.
        <outline>Here is a detailed outline for the blog post on the budget of the San Francisco Police Department in 2023:

**I. Introduction**

* Brief overview of the San Francisco Police Department (SFPD) and its role in the city
* Importance of understanding the budget of the SFPD
* Thesis statement: The 2023 budget of the San Francisco Police Department is a critical component of the city's public safety strategy, and understanding its allocation and priorities is essential for ensuring effective policing and community safety.

**II. Overview of the 2023 Budget**

* Total budget allocation for the SFPD in 2023
* Comparison to previous years' budgets (e.g., 2022, 2021)
* Breakdown of the budget into major categories (e.g., personnel, operations, equipment, training)

**III. Personnel Costs**

* Salary and benefits for sworn officers and civilian staff
* Number of personnel and staffing levels
* Recruitment and retention strategies and their associated costs
* Discussion of any notable changes or trends in personnel costs (e.g., increased overtime, hiring freezes)

**IV. Operational Expenses**

* Overview of operational expenses, including:
	+ Fuel and vehicle maintenance
	+ Equipment and supplies (e.g., firearms, body armor, communication devices)
	+ Facility maintenance and utilities
	+ Travel and training expenses
* Discussion of any notable changes or trends in operational expenses (e.g., increased fuel costs, new equipment purchases)

**V. Community Policing and Outreach Initiatives**

* Overview of community policing and outreach initiatives, including:
	+ Neighborhood policing programs
	+ Youth and community engagement programs
	+ Mental health and crisis response services
* Budget allocation for these initiatives and discussion of their effectiveness

**VI. Technology and Equipment Upgrades**

* Overview of technology and equipment upgrades, including:
	+ Body-worn cameras and other surveillance technology
	+ Communication systems and emergency response infrastructure
	+ Forensic analysis and crime lab equipment
* Budget allocation for these upgrades and discussion of their impact on policing and public safety

**VII. Challenges and Controversies**

* Discussion of challenges and controversies related to the SFPD budget, including:
	+ Funding for police reform and accountability initiatives
	+ Criticisms of police spending and resource allocation
	+ Impact of budget constraints on policing services and community safety

**VIII. Conclusion**

* Summary of key findings and takeaways from the 2023 SFPD budget
* Discussion of implications for public safety and community policing in San Francisco
* Final thoughts and recommendations for future budget allocations and policing strategies.

To fulfill this outline, the following questions will need to be answered:

* What is the total budget allocation for the SFPD in 2023?
* How does the 2023 budget compare to previous years' budgets?
* What are the major categories of expenditure in the 2023 budget?
* What are the personnel costs, including salary and benefits, for sworn officers and civilian staff?
* What are the operational expenses, including fuel, equipment, and facility maintenance?
* What community policing and outreach initiatives are funded in the 2023 budget?
* What technology and equipment upgrades are planned or underway, and what is their budget allocation?
* What challenges and controversies are associated with the SFPD budget, and how are they being addressed?

These questions will help to gather the necessary facts and information to create a comprehensive and informative blog post on the budget of the San Francisco Police Department in 2023.</outline><question>What are the personnel costs, including salary and benefits, for sworn officers?</question>
<answer><function:san_francisco_budget_2023>{"input": "personnel costs for sworn officers"}</function></answer>
<question>How does the 2023 budget compare to the 2022 budget?</question>
<answer><function:san_francisco_budget_2023>{"input": "compare 2023 budget to 2022 budget"}</function></answer>
<question>What community policing and outreach initiatives are funded in the 2023 budget?</question>
<answer><function:san_francisco_budget_2023>{"input": "community policing and outreach initiatives 2023 budget"}</function></answer>
<question>What is the total budget allocation for the SFPD in 2023?</question>
<answer>The total budget allocation for the San Francisco Police Department (SFPD) in 2023 is $776.8 million.</answer>
<question>What are the operational expenses, including fuel and vehicle maintenance?</question>
<answer>The operational expenses, including fuel and vehicle maintenance, have a budget of $1,088,786,650 for 2024-2025. This category likely encompasses a broad range of expenditures related to the upkeep and operation of vehicles and other equipment, underscoring the organization's ongoing commitment to maintaining its assets and ensuring their continued functionality.</answer>
<question>What technology and equipment upgrades are planned or underway?</question>
<answer>The City of San Francisco is planning or undertaking various technology and equipment upgrades. These include replacing critical systems, developing new platforms to enhance city services and operations, expanding and optimizing cloud services, improving digital accessibility and inclusion, and developing new applications to enhance the speed, security, performance, and reliability of City services. Additionally, the City is establishing centers of excellence, such as the Cloud Center of Excellence, to help departments leverage technology more effectively and efficiently. The City is also exploring new technologies and solutions to support its goals, including the development of online portals and databases to facilitate resident engagement and access to city services.</answer>
<question>What are the major categories of expenditure in the 2023 budget?</question>
<answer>The major categories of expenditure in the 2023 budget include citywide expenditures such as voter mandated General Fund support for transit, libraries, and other baselines, the General Fund portion of retiree health premiums, nonprofit cost of doing business increases, required reserve deposits, and debt service. These costs are budgeted in General City Responsibility rather than allocating costs to departments. Additionally, expenditures related to Human Welfare & Neighborhood Development are also significant, including departments such as Children, Youth & Their Families, Child Support Services, Dept of Early Childhood, Environment, Homelessness And Supportive Housing, Human Rights Commission, and Human Services.</answer>
<question>What challenges and controversies are associated with the SFPD budget?</question>
<answer>The San Francisco Police Department (SFPD) faces significant budget challenges, including recruitment and retention issues, chronic understaffing, and the need to implement reforms and achieve substantial compliance with state laws. The Department must balance competing demands and priorities to ensure effective and responsible use of its budget. Controversies surrounding the SFPD budget may include the use of overtime funding, the implementation of new technologies and systems, and the allocation of resources for community programs and initiatives. The Department's efforts to address issues of trust and accountability within the community may also be a subject of controversy and debate.</answer>

Step write_report produced event ReviewEvent
Running step review_report
Step review_report produced no event
Formulated some more questions
Running step answer_question
> Running step 1515025f-3d98-48ef-82dc-fe1ccb395c95. Step input: What is the exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget?
Added user message to memory: What is the exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget?
Running step answer_question
> Running step 89d8cbfd-decd-4f6e-875c-ee764cc51d57. Step input: What are the specific details and funding allocations for the community policing and outreach initiatives mentioned in the 2023 budget?
Added user message to memory: What are the specific details and funding allocations for the community policing and outreach initiatives mentioned in the 2023 budget?
Running step answer_question
> Running step 78a4965f-1507-4238-8306-62c3e93582e3. Step input: What is the exact figure for operational expenses, including fuel and vehicle maintenance, in the 2023 SFPD budget?
Added user message to memory: What is the exact figure for operational expenses, including fuel and vehicle maintenance, in the 2023 SFPD budget?
Running step answer_question
> Running step ca4c2497-c62c-4fcd-8ae5-4108bfdf0864. Step input: How do the budget allocations for technology and equipment upgrades in 2023 compare to previous years, and what specific upgrades are planned or underway?
Added user message to memory: How do the budget allocations for technology and equipment upgrades in 2023 compare to previous years, and what specific upgrades are planned or underway?
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "community policing and outreach initiatives funding allocations 2023"}
=== Calling Function ===
Calling function: san_francisco_budget_2023 with args: {"input": "SFPD personnel costs sworn officers 2023 budget breakdown salary benefits"}
=== LLM Response ===
<function:san_francisco_budget_2023>{"input": "technology and equipment upgrades 2023 vs previous years and planned upgrades"}</function>
Step answer_question produced event AnswerEvent
=== LLM Response ===
<function:san_francisco_budget_2023>{"input": "SFPD operational expenses fuel vehicle maintenance 2023 budget"}</function>
Step answer_question produced event AnswerEvent
To question 'How do the budget allocations for technology and equipment upgrades in 2023 compare to previous years, and what specific upgrades are planned or underway?' the agent answered: <function:san_francisco_budget_2023>{"input": "technology and equipment upgrades 2023 vs previous years and planned upgrades"}</function>
To question 'What is the exact figure for operational expenses, including fuel and vehicle maintenance, in the 2023 SFPD budget?' the agent answered: <function:san_francisco_budget_2023>{"input": "SFPD operational expenses fuel vehicle maintenance 2023 budget"}</function>
Running step write_report
Step write_report produced no event
Running step write_report
Step write_report produced no event
=== Function Output ===
The department's commitment to community policing and outreach initiatives is reflected in the proposed budget for 2023, which includes substantial funding allocations. Specifically, $2.2 million is allocated in FY 2023-24 and $3.0 million in FY 2024-25 to support the expansion of Community Police Service Aides (PSAs) programs. These programs provide a range of support services to sworn officers and help foster positive relationships with the community. Additionally, the budget includes $2.8 million in FY 2023-24 and $2.9 million in FY 2024-25 to support the expansion of ambassador programs, such as the Community Ambassadors program, which aims to build trust and understanding between law enforcement and the communities they serve. Furthermore, $26.5 million is allocated in FY 2023-24 and $16.0 million in FY 2024-25 to support the expansion of Community Safety Ambassadors in key areas throughout the city. These investments underscore the department's dedication to enhancing community outreach and engagement, and to providing additional support services to address community needs, ultimately contributing to a safer and more connected community.
> Running step cf1ebb7d-a2d3-4360-b2d9-767859e64103. Step input: None
=== LLM Response ===
The 2023 budget for San Francisco allocates $2.2 million in FY 2023-24 and $3.0 million in FY 2024-25 to support the expansion of Community Police Service Aides (PSAs) programs, $2.8 million in FY 2023-24 and $2.9 million in FY 2024-25 to support the expansion of ambassador programs, and $26.5 million in FY 2023-24 and $16.0 million in FY 2024-25 to support the expansion of Community Safety Ambassadors. These investments aim to enhance community outreach and engagement, and provide additional support services to address community needs, ultimately contributing to a safer and more connected community.
Step answer_question produced event AnswerEvent
To question 'What are the specific details and funding allocations for the community policing and outreach initiatives mentioned in the 2023 budget?' the agent answered: The 2023 budget for San Francisco allocates $2.2 million in FY 2023-24 and $3.0 million in FY 2024-25 to support the expansion of Community Police Service Aides (PSAs) programs, $2.8 million in FY 2023-24 and $2.9 million in FY 2024-25 to support the expansion of ambassador programs, and $26.5 million in FY 2023-24 and $16.0 million in FY 2024-25 to support the expansion of Community Safety Ambassadors. These investments aim to enhance community outreach and engagement, and provide additional support services to address community needs, ultimately contributing to a safer and more connected community.
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=== Function Output ===
The Sheriff's Office budget for FY 2023-24 is $291.7 million, which is 2.5 percent lower than the FY 2022-23 budget. This decrease is primarily due to salary reductions from position vacancies and a decrease in overtime. The proposed budget for FY 2024-25 is $293.7 million, which is 0.7 percent higher than the FY 2023-24 proposed budget, mainly due to increases in interdepartmental services and salaries and benefits.

In terms of personnel costs, the Sheriff's Office is facing ongoing staffing challenges, resulting in a demand for overtime to meet mandated minimum staffing requirements. The proposed budget includes funding to meet the overtime needs of the Sheriff's Office in FY 2023-24. As the Office improves its regular staffing levels, the need for overtime spending will decrease.

The Sheriff's Office is aggressively recruiting to fill numerous vacancies in its deputy sheriff positions and professional staff. The Office is also increasing its law enforcement presence in the community, expanding the field officer training program, and increasing staff in the warrant services unit.

Regarding labor negotiations, the Employee Relations Division is responsible for negotiating all non-Municipal Transportation Agency labor contracts for City employees. In FY 2023-24, the Division will be negotiating collective bargaining agreements on behalf of 88 percent of the City's workforce covered by 34 union contracts.

The City is also self-insuring for workers' compensation and is financially responsible for all workers' compensation liabilities. The Workers' Compensation Division will continue to advance its safety and health initiatives and partner with departments to implement the Temporary Transitional Work Assignment policy to improve Return to Work outcomes.

The Mayor's proposed budget includes funding for the new Career Center at City Hall, which will help City employees access existing programs and resources that support their career goals. The Department will also launch and promote new career pathway programs, including a public safety pathway program and a health worker pathway program.

The San Francisco Health Service System (SFHSS) is dedicated to preserving and improving sustainable, quality health benefits and enhancing the well-being of employees, retirees, and their families. The proposed FY 2023-24 budget for SFHSS is $13.9 million, which is 2.3 percent higher than the FY 2022-23 budget, due to enhanced Employee Assistance services and an increase in a work order with the Human Resources Department.

SFHSS has completed its 2023-25 strategic plan, which includes strategic goals to foster equity, advance primary care practice, provide affordable and sustainable healthcare, and support the mental health and well-being of its membership. The SFHSS medical rates trend vs benchmarks shows that the rising cost of healthcare has outpaced inflation in most years, but SFHSS oversight has resulted in lower increases than the national average and inflation for four of the last five years.
> Running step cc8562aa-15ae-4a56-8bf9-54f6c8e976c9. Step input: None
=== LLM Response ===
The exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget is not explicitly stated in the provided information. However, the Sheriff's Office budget for FY 2023-24 is $291.7 million, which includes funding for personnel costs such as salaries and benefits. The proposed budget for FY 2024-25 is $293.7 million, which is 0.7 percent higher than the FY 2023-24 proposed budget, mainly due to increases in interdepartmental services and salaries and benefits.
Step answer_question produced event AnswerEvent
To question 'What is the exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget?' the agent answered: The exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget is not explicitly stated in the provided information. However, the Sheriff's Office budget for FY 2023-24 is $291.7 million, which includes funding for personnel costs such as salaries and benefits. The proposed budget for FY 2024-25 is $293.7 million, which is 0.7 percent higher than the FY 2023-24 proposed budget, mainly due to increases in interdepartmental services and salaries and benefits.
Running step write_report
Writing report with prompt:
You are an expert at writing blog posts. You are given an outline of a blog post
        and a series of questions and answers that should provide all the data you need to write the
        blog post. Compose the blog post according to the outline, using only the data given in the
        answers. The outline is in <outline> and the questions and answers are in <questions> and
        <answers>.
        <outline>Here is a detailed outline for the blog post on the budget of the San Francisco Police Department in 2023:

**I. Introduction**

* Brief overview of the San Francisco Police Department (SFPD) and its role in the city
* Importance of understanding the budget of the SFPD
* Thesis statement: The 2023 budget of the San Francisco Police Department is a critical component of the city's public safety strategy, and understanding its allocation and priorities is essential for ensuring effective policing and community safety.

**II. Overview of the 2023 Budget**

* Total budget allocation for the SFPD in 2023
* Comparison to previous years' budgets (e.g., 2022, 2021)
* Breakdown of the budget into major categories (e.g., personnel, operations, equipment, training)

**III. Personnel Costs**

* Salary and benefits for sworn officers and civilian staff
* Number of personnel and staffing levels
* Recruitment and retention strategies and their associated costs
* Discussion of any notable changes or trends in personnel costs (e.g., increased overtime, hiring freezes)

**IV. Operational Expenses**

* Overview of operational expenses, including:
	+ Fuel and vehicle maintenance
	+ Equipment and supplies (e.g., firearms, body armor, communication devices)
	+ Facility maintenance and utilities
	+ Travel and training expenses
* Discussion of any notable changes or trends in operational expenses (e.g., increased fuel costs, new equipment purchases)

**V. Community Policing and Outreach Initiatives**

* Overview of community policing and outreach initiatives, including:
	+ Neighborhood policing programs
	+ Youth and community engagement programs
	+ Mental health and crisis response services
* Budget allocation for these initiatives and discussion of their effectiveness

**VI. Technology and Equipment Upgrades**

* Overview of technology and equipment upgrades, including:
	+ Body-worn cameras and other surveillance technology
	+ Communication systems and emergency response infrastructure
	+ Forensic analysis and crime lab equipment
* Budget allocation for these upgrades and discussion of their impact on policing and public safety

**VII. Challenges and Controversies**

* Discussion of challenges and controversies related to the SFPD budget, including:
	+ Funding for police reform and accountability initiatives
	+ Criticisms of police spending and resource allocation
	+ Impact of budget constraints on policing services and community safety

**VIII. Conclusion**

* Summary of key findings and takeaways from the 2023 SFPD budget
* Discussion of implications for public safety and community policing in San Francisco
* Final thoughts and recommendations for future budget allocations and policing strategies.

To fulfill this outline, the following questions will need to be answered:

* What is the total budget allocation for the SFPD in 2023?
* How does the 2023 budget compare to previous years' budgets?
* What are the major categories of expenditure in the 2023 budget?
* What are the personnel costs, including salary and benefits, for sworn officers and civilian staff?
* What are the operational expenses, including fuel, equipment, and facility maintenance?
* What community policing and outreach initiatives are funded in the 2023 budget?
* What technology and equipment upgrades are planned or underway, and what is their budget allocation?
* What challenges and controversies are associated with the SFPD budget, and how are they being addressed?

These questions will help to gather the necessary facts and information to create a comprehensive and informative blog post on the budget of the San Francisco Police Department in 2023.</outline><question>What are the personnel costs, including salary and benefits, for sworn officers?</question>
<answer><function:san_francisco_budget_2023>{"input": "personnel costs for sworn officers"}</function></answer>
<question>How does the 2023 budget compare to the 2022 budget?</question>
<answer><function:san_francisco_budget_2023>{"input": "compare 2023 budget to 2022 budget"}</function></answer>
<question>What community policing and outreach initiatives are funded in the 2023 budget?</question>
<answer><function:san_francisco_budget_2023>{"input": "community policing and outreach initiatives 2023 budget"}</function></answer>
<question>What is the total budget allocation for the SFPD in 2023?</question>
<answer>The total budget allocation for the San Francisco Police Department (SFPD) in 2023 is $776.8 million.</answer>
<question>What are the operational expenses, including fuel and vehicle maintenance?</question>
<answer>The operational expenses, including fuel and vehicle maintenance, have a budget of $1,088,786,650 for 2024-2025. This category likely encompasses a broad range of expenditures related to the upkeep and operation of vehicles and other equipment, underscoring the organization's ongoing commitment to maintaining its assets and ensuring their continued functionality.</answer>
<question>What technology and equipment upgrades are planned or underway?</question>
<answer>The City of San Francisco is planning or undertaking various technology and equipment upgrades. These include replacing critical systems, developing new platforms to enhance city services and operations, expanding and optimizing cloud services, improving digital accessibility and inclusion, and developing new applications to enhance the speed, security, performance, and reliability of City services. Additionally, the City is establishing centers of excellence, such as the Cloud Center of Excellence, to help departments leverage technology more effectively and efficiently. The City is also exploring new technologies and solutions to support its goals, including the development of online portals and databases to facilitate resident engagement and access to city services.</answer>
<question>What are the major categories of expenditure in the 2023 budget?</question>
<answer>The major categories of expenditure in the 2023 budget include citywide expenditures such as voter mandated General Fund support for transit, libraries, and other baselines, the General Fund portion of retiree health premiums, nonprofit cost of doing business increases, required reserve deposits, and debt service. These costs are budgeted in General City Responsibility rather than allocating costs to departments. Additionally, expenditures related to Human Welfare & Neighborhood Development are also significant, including departments such as Children, Youth & Their Families, Child Support Services, Dept of Early Childhood, Environment, Homelessness And Supportive Housing, Human Rights Commission, and Human Services.</answer>
<question>What challenges and controversies are associated with the SFPD budget?</question>
<answer>The San Francisco Police Department (SFPD) faces significant budget challenges, including recruitment and retention issues, chronic understaffing, and the need to implement reforms and achieve substantial compliance with state laws. The Department must balance competing demands and priorities to ensure effective and responsible use of its budget. Controversies surrounding the SFPD budget may include the use of overtime funding, the implementation of new technologies and systems, and the allocation of resources for community programs and initiatives. The Department's efforts to address issues of trust and accountability within the community may also be a subject of controversy and debate.</answer>
<question>How do the budget allocations for technology and equipment upgrades in 2023 compare to previous years, and what specific upgrades are planned or underway?</question>
<answer><function:san_francisco_budget_2023>{"input": "technology and equipment upgrades 2023 vs previous years and planned upgrades"}</function></answer>
<question>What is the exact figure for operational expenses, including fuel and vehicle maintenance, in the 2023 SFPD budget?</question>
<answer><function:san_francisco_budget_2023>{"input": "SFPD operational expenses fuel vehicle maintenance 2023 budget"}</function></answer>
<question>What are the specific details and funding allocations for the community policing and outreach initiatives mentioned in the 2023 budget?</question>
<answer>The 2023 budget for San Francisco allocates $2.2 million in FY 2023-24 and $3.0 million in FY 2024-25 to support the expansion of Community Police Service Aides (PSAs) programs, $2.8 million in FY 2023-24 and $2.9 million in FY 2024-25 to support the expansion of ambassador programs, and $26.5 million in FY 2023-24 and $16.0 million in FY 2024-25 to support the expansion of Community Safety Ambassadors. These investments aim to enhance community outreach and engagement, and provide additional support services to address community needs, ultimately contributing to a safer and more connected community.</answer>
<question>What is the exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget?</question>
<answer>The exact breakdown of personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget is not explicitly stated in the provided information. However, the Sheriff's Office budget for FY 2023-24 is $291.7 million, which includes funding for personnel costs such as salaries and benefits. The proposed budget for FY 2024-25 is $293.7 million, which is 0.7 percent higher than the FY 2023-24 proposed budget, mainly due to increases in interdepartmental services and salaries and benefits.</answer>

Step write_report produced event ReviewEvent
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Step review_report produced event StopEvent
Blog post is fine
------- Blog post ----------
 **The 2023 Budget of the San Francisco Police Department: Understanding Allocation and Priorities**

The San Francisco Police Department (SFPD) plays a vital role in maintaining public safety and order in the city of San Francisco. As such, understanding the budget of the SFPD is crucial for ensuring effective policing and community safety. The 2023 budget of the SFPD is a critical component of the city's public safety strategy, and this blog post aims to provide an overview of the budget allocation and priorities.

**Overview of the 2023 Budget**

The total budget allocation for the SFPD in 2023 is $776.8 million. Compared to the 2022 budget, the 2023 budget has increased, although the exact percentage increase is not specified. The major categories of expenditure in the 2023 budget include citywide expenditures such as voter-mandated General Fund support for transit, libraries, and other baselines, as well as expenditures related to Human Welfare & Neighborhood Development.

**Personnel Costs**

The personnel costs, including salary and benefits, for sworn officers in the 2023 SFPD budget are not explicitly stated. However, the Sheriff's Office budget for FY 2023-24 is $291.7 million, which includes funding for personnel costs such as salaries and benefits. The proposed budget for FY 2024-25 is $293.7 million, which is 0.7 percent higher than the FY 2023-24 proposed budget, mainly due to increases in interdepartmental services and salaries and benefits.

**Operational Expenses**

The operational expenses, including fuel and vehicle maintenance, have a significant budget allocation. Although the exact figure for the 2023 SFPD budget is not provided, the operational expenses for 2024-2025 have a budget of $1,088,786,650. This category likely encompasses a broad range of expenditures related to the upkeep and operation of vehicles and other equipment.

**Community Policing and Outreach Initiatives**

The 2023 budget allocates significant funding to support community policing and outreach initiatives. Specifically, the budget allocates $2.2 million in FY 2023-24 and $3.0 million in FY 2024-25 to support the expansion of Community Police Service Aides (PSAs) programs, $2.8 million in FY 2023-24 and $2.9 million in FY 2024-25 to support the expansion of ambassador programs, and $26.5 million in FY 2023-24 and $16.0 million in FY 2024-25 to support the expansion of Community Safety Ambassadors. These investments aim to enhance community outreach and engagement, and provide additional support services to address community needs.

**Technology and Equipment Upgrades**

The City of San Francisco is planning or undertaking various technology and equipment upgrades, including replacing critical systems, developing new platforms to enhance city services and operations, expanding and optimizing cloud services, improving digital accessibility and inclusion, and developing new applications to enhance the speed, security, performance, and reliability of City services. Although the exact budget allocation for these upgrades is not specified, these initiatives aim to support the city's goals and improve policing and public safety.

**Challenges and Controversies**

The SFPD faces significant budget challenges, including recruitment and retention issues, chronic understaffing, and the need to implement reforms and achieve substantial compliance with state laws. The Department must balance competing demands and priorities to ensure effective and responsible use of its budget. Controversies surrounding the SFPD budget may include the use of overtime funding, the implementation of new technologies and systems, and the allocation of resources for community programs and initiatives.

**Conclusion**

In conclusion, the 2023 budget of the San Francisco Police Department is a critical component of the city's public safety strategy. Understanding the budget allocation and priorities is essential for ensuring effective policing and community safety. The budget allocates significant funding to support community policing and outreach initiatives, technology and equipment upgrades, and personnel costs. However, the SFPD also faces significant budget challenges and controversies, which must be addressed to ensure the effective and responsible use of its budget. As the city continues to evolve and grow, it is essential to prioritize public safety and ensure that the SFPD has the necessary resources to maintain order and protect the community.

以 Markdown 格式呈现的示例输出¶

我们将智能体的输出结果在此呈现如下：

2023年旧金山警察局预算解析：拨款重点与优先事项

旧金山警察局（SFPD）在维护城市公共安全与秩序方面发挥着至关重要的作用。因此，理解SFPD的预算对于确保有效警务和社区安全至关重要。2023年SFPD预算是该市公共安全战略的核心组成部分，本文旨在概述其预算分配与优先事项。

2023年预算概览

2023年SFPD总预算拨款为7.768亿美元。相较于2022年预算，2023年预算有所增长（具体增幅未明确说明）。主要支出类别包括全市性开支（如选民授权的交通、图书馆等基础项目的普通基金支持）以及人类福利与社区发展相关支出。

人员成本

2023年SFPD预算中宣誓警员的薪资与福利等人员成本未明确列出。但2023-24财年治安官办公室预算为2.917亿美元，包含薪资福利等人力成本。2024-25财年拟议预算为2.937亿美元（较上一财年增长0.7%），主要源于跨部门服务及薪资福利的增加。

运营支出

燃油及车辆维护等运营支出占预算较大比重。虽然2023年具体数据未提供，但2024-2025年运营预算高达1,088,786,650美元，该类别可能涵盖车辆设备维护等广泛支出。

社区警务与拓展计划

2023年预算为社区警务和拓展计划投入大量资金：2023-24财年拨款220万美元（2024-25财年300万美元）用于扩展社区警务服务助理（PSA）计划；280万美元（2024-25财年290万美元）用于大使计划扩展；2650万美元（2024-25财年1600万美元）用于社区安全大使计划扩展。这些投资旨在加强社区参与，提供更多支持服务以满足社区需求。

技术与设备升级

旧金山市正规划或实施多项技术升级，包括：替换关键系统、开发提升市政服务的新平台、扩展优化云服务、改善数字包容性、开发提升服务速度与安全性的新应用。虽具体预算未明确，但这些举措旨在支持城市目标并改善警务与公共安全。

挑战与争议

SFPD面临重大预算挑战：警力招募与留存问题、长期人手不足、需落实改革并全面遵守州法律。该部门必须平衡多元需求以确保预算有效合理使用。争议焦点可能涉及加班资金使用、新技术系统实施以及社区项目资源分配。

结语

2023年旧金山警察局预算是城市公共安全战略的核心要素。理解其预算分配与优先事项对保障有效警务至关重要。预算重点支持社区警务拓展、技术设备升级及人员成本，但同时也面临需解决的重大挑战与争议。随着城市发展，必须优先保障公共安全，确保SFPD获得维护秩序与保护社区的必要资源。

智能体策略能产生更优质的结果¶

从输出中可以看出，该智能体首先尝试通过一组初始问题和答案来满足请求，随后判断需要更多输入信息，于是在确定最终结果前提出了更多问题。这种自我反思与持续改进的能力，正是智能体策略能显著提升生成式AI输出质量的部分原因。