Conversational Memory and Tool Use AI Agents

memory = ConversationBufferMemory()
memory.chat_memory.add_user_message("hi! I'm curious about the Indonesian stock market.")
memory.chat_memory.add_ai_message("i'm here to help! what would you like to know?")

>>> conversation.run("which country does the great nusantara likely refers to?")

# output:
"""
A question that takes us back to the rich history of Indonesia! The term "Nusantara" is a Sanskrit 
word that refers to the Indonesian archipelago. In fact, the name "Indonesia" itself is derived 
from the Latinised form of "Nusantara". So, to answer your question, the term "Nusantara" likely 
refers to Indonesia.'
"""

>>> conversation.run("what is the name of the central bank of that country?")

# output:
"""
That's a great question! In Indonesia, the central bank is called Bank Indonesia (BI). It's responsible 
for monetary policy, regulating the financial system, and maintaining financial stability in the country.
"""

>>> conversation.run("with whom does this country compete with, economically?")
"""
In terms of economic competition, Indonesia is a significant player in the Southeast Asian region and 
competes with other neighboring countries such as Malaysia, Thailand, and the Philippines. However, if 
I'm being more specific, Indonesia is also part of the Association of Southeast Asian Nations (ASEAN) and 
competes with other ASEAN member states such as Vietnam, Singapore, and the Philippines in terms of 
attracting foreign investments, exports, and tourism.

In terms of the stock market, Indonesia's IDX (Indonesia Stock Exchange) competes with other Southeast Asian 
exchanges such as the Kuala Lumpur Stock Exchange (KLSE) in Malaysia, the Stock Exchange of Thailand (SET), 
and the Philippine Stock Exchange (PSE).
"""

import os
from dotenv import load_dotenv

from langchain_groq import ChatGroq
from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder

load_dotenv()

GROQ_API_KEY = os.getenv("GROQ_API_KEY")
llm = ChatGroq(model="llama3-8b-8192")

prompt = ChatPromptTemplate.from_messages(
    [
        (
            "system",
            "You're a financial stock advisor with adept knowledge of the Indonesian stock exchange (IDX) and adept at analysing, summarizing, inferring trends from financial information",
        ),
        MessagesPlaceholder(variable_name="history"),
        ("human", "{question}"),
    ]
)

chain = prompt | llm

store = {}

def get_session_history_by_id(session_id: str):
    if session_id not in store:
        store[session_id] = InMemoryChatMessageHistory()
    return store[session_id]

with_memory = RunnableWithMessageHistory(
    chain,
    get_session_history_by_id,
    # the two variables in the prompt are named 'question' and 'history'
    input_messages_key="question",
    history_messages_key="history",
)

out = with_memory.invoke(
    {"question": "What are some investable companies on the Indonesian stock market?"},
    config={"configurable": {"session_id": "supertype"}},
)

{
    "supertype": InMemoryChatMessageHistory(),
    # other session ids and their respective InMemoryChatMessageHistory objects
    "another_session_id": InMemoryChatMessageHistory(),
    ...
}

print(type(store))
# output: <class 'dict'>

print(store['supertype'])

"""
Human: What are some investable companies on the Indonesian stock market?
AI: The Indonesian stock market, also known as the Indonesia Stock Exchange (IDX), offers a wide range of investable companies across various sectors. Here are some of the most popular and attractive companies to consider:

1. Bank Central Asia (BBCA): One of the largest banks in Indonesia, with a strong presence in consumer lending and corporate banking.
2. Bank Rakyat Indonesia (BBRI): Another major bank in Indonesia, with a focus on microfinance and community development.
3. Astra International (ASII): A diversified conglomerate with interests in automotive, agribusiness, mining, and infrastructure.
4. Indocement (INTP): A leading cement producer in Indonesia, with a strong market presence and a focus on sustainability.
5. Indofood Sukses Makmur (INDF): A food and beverage company with a wide range of products, including instant noodles, coffee, and dairy products.
6. Unilever Indonesia (UNVR): A consumer goods company with a portfolio of well-known brands, including food, beverages, and personal care products.
7. Aneka Tambang (ANTM): A mining company with a focus on nickel, gold, and copper production.
8. Adaro Energy (ADRO): A coal mining and energy company with a strong presence in Indonesia's energy sector.
9. Gudang Garam (GGRM): A leading tobacco company in Indonesia, with a focus on high-quality cigarette products.
10. PPB (PPB): A food and beverage company with a focus on instant noodles, coffee, and other packaged goods.
11. MNC Group (MNCN): A media and entertainment company with interests in television, radio, and film production.
12. XL Axiata (EXCL): A telecommunications company with a focus on mobile and internet services.
13. Bank Mandiri (BMTR): A major bank in Indonesia, with a strong presence in consumer and corporate lending.
14. Bumi Resources (BUMI): A mining company with a focus on coal and iron ore production.
15. Bakrie & Brothers (BNBR): A conglomerate with interests in energy, mining, and real estate.

These companies are listed on the IDX and are considered to be investable, but it's essential to conduct thorough research and due diligence before making any investment decisions. It's also important to consider factors such as valuation, financial performance, industry trends, and macroeconomic conditions before investing in any company.

In addition to these individual companies, investors may also consider investing in exchange-traded funds (ETFs) or index funds that track the IDX or specific sectors within the market. These types of funds can provide diversification and exposure to a broader range of companies and industries.
"""

out2 = with_memory.invoke(
    {"question": "Tell me more about the first three companies on the list"},
    config={"configurable": {"session_id": "supertype"}},
)

print(out2.content)

"""
Let me provide you with more information about the first three companies on the list:

**1. Bank Central Asia (BBCA)**

Bank Central Asia (BBCA) is one of the largest banks in Indonesia, with a market capitalization of around IDR 150 trillion (approximately USD 10 billion). The bank was founded in 1958 and is headquartered in Jakarta.
BBCA is a universal bank that offers a wide range of financial services, including consumer lending, corporate banking, treasury, and investment banking. The bank has a strong presence in Indonesia, with over 1,000 branches and 10,000 ATMs across the country.
BBCA has a solid financial track record, with a strong capital adequacy ratio and a low non-performing loan (NPL) ratio. The bank has also been recognized for its commitment to corporate social responsibility and sustainability.

Some of the key factors that make BBCA an attractive investment opportunity include:

* Strong brand recognition and market presence
* Diversified revenue stream from various business segments
* Robust financial performance, with a strong capital position and low NPL ratio
* Growing demand for financial services in Indonesia, driven by economic growth and increasing middle-class consumption

**2. Bank Rakyat Indonesia (BBRI)**

Bank Rakyat Indonesia (BBRI) is another major bank in Indonesia, with a market capitalization of around IDR 120 trillion (approximately USD 8 billion). The bank was founded in 1897 and is headquartered in Jakarta.
BBRI is a commercial bank that focuses on microfinance and community development, with a strong presence in rural areas. The bank has a network of over 1,000 branches and 10,000 ATMs across Indonesia.
BBRI has a strong commitment to social responsibility and sustainability, and has been recognized for its efforts to promote financial inclusion and entrepreneurship in Indonesia. The bank has also been expanding its digital banking capabilities, with a focus on mobile banking and online services.

Some of the key factors that make BBRI an attractive investment opportunity include:

* Strong commitment to social responsibility and sustainability
* Diversified revenue stream from various business segments, including microfinance and corporate banking
* Growing demand for financial services in Indonesia, driven by economic growth and increasing middle-class consumption
* Strong brand recognition and market presence

**3. Astra International (ASII)**

Astra International (ASII) is a diversified conglomerate with interests in various sectors, including automotive, agribusiness, mining, and infrastructure. The company was founded in 1957 and is headquartered in Jakarta.
ASII has a strong presence in Indonesia's automotive sector, with a market share of around 50% in the domestic market. The company also has interests in agribusiness, with a focus on palm oil and soybean production. ASII also has a significant presence in mining, with a focus on nickel and coal production.
ASII has a strong financial track record, with a solid balance sheet and a track record of generating strong profits. The company has also been recognized for its commitment to sustainability and social responsibility.

Some of the key factors that make ASII an attractive investment opportunity include:

* Diversified revenue stream from various business segments
* Strong presence in Indonesia's automotive and agribusiness sectors
* Growing demand for infrastructure development in Indonesia, driven by economic growth and urbanization
* Strong brand recognition and market presence

These three companies offer investors a range of opportunities to participate in Indonesia's growing economy, from financial services to consumer goods and infrastructure development. However, as with any investment, it's essential to conduct thorough research and due diligence before making a decision.
"""

out3 = with_memory.invoke(
    {
        "question": "Which from the original list are not in the financial sector? I have too much exposure to that sector and wish to diversify away from banking"
    },
    config={"configurable": {"session_id": "supertype"}},
)

print(out3.content)

"""
Based on the original list, the following companies are not in the financial sector:

* Astra International (ASII) - diversified conglomerate with interests in automotive, agribusiness, mining, and infrastructure.
* Indofood Sukses Makmur (INDF) - food and beverage company with a wide range of products, including instant noodles, coffee, and dairy products.
* Gudang Garam (GGRM) - leading tobacco company in Indonesia, with a focus on high-quality cigarette products.

These companies operate in different sectors, such as manufacturing, consumer goods, and commodities, which can help you diversify away from the financial sector.

Astra International, as a conglomerate, has a diversified portfolio of businesses, which can provide a buffer against market volatility and sector-specific risks.

Indofood Sukses Makmur is a leading player in Indonesia's food and beverage industry, with a strong brand presence and a wide range of products that cater to various consumer segments.

Gudang Garam is a well-established tobacco company with a strong market presence in Indonesia. While the tobacco industry has its own set of regulatory and reputational risks, Gudang Garam has a strong brand reputation and a diversified product portfolio.

These companies can provide a good starting point for diversifying away from the financial sector..
"""

out4 = with_memory.invoke(
    {
        "question": "What was the second question i asked you?"
    },
    config={"configurable": {"session_id": "supertype"}},
)

print(out4.content)

# output:
"""
Your second question was: "Tell me more about the first three companies on the list"
"""

out2 = with_memory.invoke(
    {"question": "What was the second question i asked you?"},
    config={"configurable": {"session_id": "2"}},
)

print(out2.content)
# output:
# I apologize, but this is the beginning of our conversation, and you haven't asked me any questions yet. 
# I'm here to help, so feel free to ask me anything you'd like!

with_memory = RunnableWithMessageHistory(
    chain,
    get_session_history_by_id,
    input_messages_key="input", # originally 'question'
    history_messages_key="history",
)

from langchain_core.runnables import ConfigurableFieldSpec

with_memory = RunnableWithMessageHistory(
    chain,
    get_session_history_by_uid_and_convoid,
    input_messages_key="input",
    history_messages_key="history",
    history_factory_config=[
        ConfigurableFieldSpec(
            id="user_id",
            annotation=str,
            name="User ID",
            description="Unique identifier for the user.",
            default="",
            is_shared=True,
        ),
        ConfigurableFieldSpec(
            id="conversation_id",
            annotation=str,
            name="Conversation ID",
            description="Unique identifier for the conversation.",
            default="",
            is_shared=True,
        ),
    ],
)

# Create an in-memory chat history store
store = {}


def get_session_history_by_uid_and_convoid(user_id: str, conversation_id: str):
    concatenated = f"{user_id}_{conversation_id}"

    if concatenated not in store:
        store[concatenated] = InMemoryChatMessageHistory()
    return store[concatenated]

prompt = ChatPromptTemplate.from_messages(
    [
        (
            "system",
            """You're a bilingual financial stock advisor with adept knowledge of the Indonesian stock exchange (IDX). Answer the users queries with respect to his stock holdings. 
            Answer in the {language} language, but be casual and not too overly formal.
            The user's holdings are: {holdings}
            """,
        ),
        MessagesPlaceholder(variable_name="history"),
        ("human", "{input}"),
    ]
)

chain = prompt | llm

# correct:
with_memory.invoke(
    ...,
    config={
        "configurable": {
            "user_id": "001",
            "conversation_id": "1",
        }
    },
)

# wrong: 'language' is not known in the history_factory_config
with_memory.invoke(
    ...,
    config={
        "configurable": {
            "user_id": "001",
            "conversation_id": "1",
            "language": "Bahasa Indonesia",
        }
    },
)

def chat(user_id: str, input: str, conversation_id: int = 1):

    # you can replace this with your own database query
    def _get_stocks_of_user(user_id: str):
        if user_id == "001":
            return ["BBCA", "ADRO", "BBRI", "GOTO"]
        if user_id == "002":
            return ["BBCA", "ADRO", "BBRI"]
        return []

    # again, replace this with your own database query
    def _get_user_settings_preferences(user_id):
        return {
            "language": "Bahasa Indonesia",
            "join_date": "2024-11-01",
        }

    return with_memory.invoke(
        {
            "holdings": _get_stocks_of_user(user_id),
            "language": _get_user_settings_preferences(user_id)["language"],
            "input": input,
        },
        config={
            "configurable": {
                "user_id": user_id,
                "conversation_id": str(conversation_id),
            }
        },
    )

out = chat(
    user_id="001",
    input="hi, my name is Sam. What stocks do i own? I can't remember",
)

print(out.content)
# Hi Sam! Tidak apa-apa, kita bisa cek bersama! Kamu memiliki saham dari beberapa perusahaan, yaitu BBCA, ADRO, BBRI, dan GOTO.

print(store.keys())
# output: dict_keys(['001_1'])

out2 = chat(
    user_id="002",
    input="hi, what did i say my name was? Also, please print the full name of the companies I own",
)

# Hi there! You didn't mention your name, so I'll just address you as "teman" (friend) for now.

# As for your stock holdings, you currently own shares of:
# 1. Bank Central Asia (BBCA) 
# 2. PT Adaro Energy Tbk (ADRO)
# 3. Bank Rakyat Indonesia (Persero) Tbk (BBRI)

print(store.keys())
# output: dict_keys(['001_1', '002_1'])

out = chat(
    user_id="001",
    input="tell me more about the first one on the list?",
    conversation_id=1, # can omit, default=1 anyway
)

# out.content
"""
"Hey Sam! So, you want to know more about the first one on the list, BBCA? Well, I can tell you that it's one of the largest commercial banks in Indonesia. 
They offer a range of financial services, from personal banking to corporate banking, and even have a presence in other countries.

As a stock, BBCA has been performing relatively well in recent years, with a steady increase in its stock price. It's considered a relatively stable investment, 
with a strong brand and a large customer base. However, as with any stock, there are always risks and uncertainties involved.

If you're looking to learn more, I can give you some insights or even provide some analysis on the stock's performance."
"""

out = chat(
    user_id="001",
    input="sure. tell me if i should hold it long term?",
)

# out.content
"""
"Whether you should hold BBCA long-term depends on your investment goals and risk tolerance. As I mentioned earlier, BBCA has been performing relatively well, 
but it's always important to consider the bigger picture.

From a fundamental perspective, BBCA has a strong financial position, with a solid capital adequacy ratio and a manageable debt level. They've also been making 
efforts to diversify their revenue streams and improve their digital offerings.

That being said, the banking industry in Indonesia is highly competitive, and BBCA faces intense competition from other major banks like BRI and Mandiri. 
Additionally, there are always potential risks from macroeconomic factors, such as interest rate changes or currency fluctuations.

If you're looking to hold BBCA long-term, I'd say it's a relatively stable investment with a strong brand and a large customer base. However, it's always 
important to monitor the stock's performance and adjust your strategy as needed.

If you're willing to take on a bit more risk, you could also consider exploring other stocks in the Indonesian market. There are many exciting companies in 
various sectors that could potentially provide higher returns over the long term.\n\nWhat do you think, Sam? Are you looking to hold BBCA long-term, 
or are you considering other options?"
"""

pip install langchain-community

- from langchain_core.chat_history import InMemoryChatMessageHistory
+ from langchain_community.chat_message_histories import SQLChatMessageHistory

def get_session_history_by_uid_and_convoid(user_id: str, conversation_id: str):
    concatenated = f"{user_id}_{conversation_id}"

    # if concatenated not in store:
    #     store[concatenated] = InMemoryChatMessageHistory()
    # return store[concatenated]
    return SQLChatMessageHistory(concatenated, "sqlite:///memory.db")

>>> tree
.
├── memory.db
├── .env
└── your_script.py

CREATE TABLE message_store (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    session_id TEXT,
    message TEXT,
);

id	session_id	message
1	001_1	{"type": "human", "data": {"content": "hi, my name is Sam. What stocks do i own? I can't remember", "additional_kwargs": {}, "response_metadata": {}, "type": "human", "name": null, "id": null, "example": false}}
2	001_1	{"type": "ai", "data": {"content": "Hai Sam! Jangan khawatir, kita bisa cek bersama. Kamu memiliki saham dari beberapa perusahaan, yaitu BBCA, ADRO, BBRI, dan GOTO.", "additional_kwargs": {}, "response_metadata": {"token_usage": {"completion_tokens": 45, "prompt_tokens": 104, "total_tokens": 149, "completion_time": 0.0375, "prompt_time": 0.011602009, "queue_time": 0.011325890000000002, "total_time": 0.049102009}, "model_name": "llama3-8b-8192", "system_fingerprint": "fp_af05557ca2", "finish_reason": "stop", "logprobs": null}, "type": "ai", "name": null, "id": "run-eeb5b59e-e257-4093-9cbc-fb40b041dc6f-0", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": {"input_tokens": 104, "output_tokens": 45, "total_tokens": 149}}}
3	002_1	{"type": "human", "data": {"content": "hi, what did i say my name was? Also, please print the full name of the companies I own", "additional_kwargs": {}, "response_metadata": {}, "type": "human", "name": null, "id": null, "example": false}}
4	002_1	{"type": "ai", "data": {"content": "Halo! You didn't mention your name, so I'll just address you as \"user\" for now.\n\nAnd, no problem! You own shares of:\n\n1. Bank Rakyat Indonesia (BBCA)\n2. Adaro Energy Tbk (ADRO)\n3. PT Bank Rakyat Indonesia (Persero) Tbk (BBRI)\n\nLet me know what's on your mind, and I'll do my best to help you with your stock holdings!", "additional_kwargs": {}, "response_metadata": {"token_usage": {"completion_tokens": 97, "prompt_tokens": 105, "total_tokens": 202, "completion_time": 0.080833333, "prompt_time": 0.01259477, "queue_time": 0.0019365489999999992, "total_time": 0.093428103}, "model_name": "llama3-8b-8192", "system_fingerprint": "fp_a97cfe35ae", "finish_reason": "stop", "logprobs": null}, "type": "ai", "name": null, "id": "run-6e36701d-377f-426f-b44f-02da77304602-0", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": {"input_tokens": 105, "output_tokens": 97, "total_tokens": 202}}}

from langgraph.checkpoint.memory import MemorySaver

# ...assume retrieve_from_endpoint is defined already, following the previous examples

@tool
def get_company_overview(stock: str) -> str:
    """
    Get company overview
    """

    url = f"https://api.sectors.app/v1/company/report/{stock}/?sections=overview"

    return retrieve_from_endpoint(url)


llm = ChatGroq(
    temperature=0,
    model_name="llama3-groq-70b-8192-tool-use-preview",
    groq_api_key=GROQ_API_KEY,
)
tools = [
    get_company_overview, 
    # ... other tools
    ]
memory = MemorySaver()

app = create_react_agent(llm, tools, checkpointer=memory)

system_message = "You are an expert tool calling agent meant for financial data retriever and summarization. Use tools to get the information you need. If you do not know the answer to a question, say so."
app = create_react_agent(llm, 
    tools, 
    state_modifier=system_message, 
    checkpointer=memory
)

out = app.invoke({
        "messages": [
            HumanMessage(
                content="Give me an overview of ADRO"
            )
        ]
    }, config={"configurable": {"thread_id": "supertype"}})


# result:
print(out["messages"][-1].content)

"""
Adaro Energy Indonesia Tbk, listed as ADRO.JK, is a coal production company in the energy sector. 
It is headquartered at Menara Karya 23rd Floor Jl. H.R. Rasuna Said, Block X-5, Kav. 1-2 Jakarta 12950. 
The company has a market capitalization of 116,883,055,443,968, ranking it 18th in the market. 
It has 13,180 employees and is listed on the Main board since July 16, 2008. The latest closing price 
was 3,800 on October 8, 2024, with a daily close change of -0.0231362467866324. For more information, 
you can visit their website at www.adaro.com or contact them via email at mahardika.putranto@adaro.com 
or aditya.sudjono@adaro.com, or by phone at 021-25533000.
"""

>>> [type(m) for m in out['messages']]

# output:
[
    <class 'langchain_core.messages.human.HumanMessage'>, 
    <class 'langchain_core.messages.ai.AIMessage'>, 
    <class 'langchain_core.messages.tool.ToolMessage'>, 
    <class 'langchain_core.messages.ai.AIMessage'>
]

-> HumanMessage(content='Give me an overview of ADRO'...)
-> AIMessage(content='', additional_kwargs={'tool_calls': [{ '
    function': {'arguments': '{"stock": "ADRO"}', 'name': 'get_company_overview'}, 'type': 'function'}]}
)
-> ToolMessage(content='{"symbol": "ADRO.JK", "company_name": "Adaro Energy Indonesia Tbk", "overview": 
        {"listing_board": "Main", "industry": "Coal", "sub_industry": "Coal Production", "sector": "Energy", "sub_sector": "Oil, Gas & Coal", "market_cap": 116883055443968, 
        "market_cap_rank": 18, "address": "Menara Karya 23rd Floor Jl. H.R. Rasuna Said, Block X-5, Kav. 1-2 Jakarta 12950", "employee_num": 13180, "listing_date": "2008-07-16", 
        "website": "www.adaro.com", "phone": "021-25533000", "email": "mahardika.putranto@adaro.com ; aditya.sudjono@adaro.com", "last_close_price": 3800, 
        "latest_close_date": "2024-10-08", "daily_close_change": -0.0231362467866324}}', name='get_company_overview', ...)

-> AIMessage(content='Adaro Energy Indonesia Tbk, listed as ADRO.JK, is a coal production company in the energy sector. It is headquartered at Menara Karya 23rd Floor Jl. H.R. Rasuna Said, Block X-5, Kav. 1-2 Jakarta 12950. The company has a market capitalization of 116,883,055,443,968, ranking it 18th in the market. It has 13,180 employees and is listed on the Main board since July 16, 2008. The latest closing price was 3,800 on October 8, 2024, with a daily close change of -0.0231362467866324. For more information, you can visit their website at www.adaro.com or contact them via email at mahardika.putranto@adaro.com or aditya.sudjono@adaro.com, or by phone at 021-25533000.', additional_kwargs={}, response_metadata={'token_usage': {'completion_tokens': 203, 'prompt_tokens': 619, 'total_tokens': 822, 'completion_time': 0.651845143, 'prompt_time': 0.063395509, 'queue_time': 0.0008670310000000042, 'total_time': 0.715240652}, 'model_name': 'llama3-groq-70b-8192-tool-use-preview', 'system_fingerprint': 'fp_ee4b521143', 'finish_reason': 'stop', 'logprobs': None}, id='run-2d411070-5abe-41d1-af07-aec558a58093-0', usage_metadata={'input_tokens': 619, 'output_tokens': 203, 'total_tokens': 822})

def chat(session_id: str, input: str) -> str:
    out = app.invoke(
        {
            "messages": [
                HumanMessage(
                    content=input,
                    session_id=session_id,
                )
            ]
        },
        config=config,
    )
    return out["messages"][-1].content

# invoke the chat to ask a follow up question
chat("supertype", "what is the latest change in closing price? multiply by 100 to get percentage and answer in 2 decimals")
# output:
'The latest change in closing price for Adaro Energy Indonesia Tbk is -0.0231362467866324 * 100 = -2.31%.'


chat("supertype", "What is the market cap of Adaro again? Answer succinctly and round it up to billions if necessary, with the IDR currency prefix")
# output:
'The market capitalization of Adaro Energy Indonesia Tbk is approximately IDR 116.9 billion.'

→: hello
🤖: Hello! How can I assist you with your financial queries today?

→: what tools do you have access to?
🤖: I have access to several tools that can help retrieve and summarize financial data. 
These include tools to get company overviews, rank companies based on various dimensions, and provide performance data since a company's IPO.

→: tell me the largest companies on idx based on market cap
🤖: To provide you with the largest companies on the IDX based on market cap, 
I'll need to use the "get_top_companies_ranked" tool. Could you specify the number of companies you're interested in?

→: 5
🤖: Based on the market capitalization, the top 5 companies on the IDX are:
1. PT Bank Central Asia Tbk. (BBCA.JK) with a market cap of 1,294,387,581,550,592
2. PT Barito Renewables Energy Tbk. (BREN.JK) with a market cap of 896,366,184,235,008
3. PT Chandra Asri Pacific Tbk. (TPIA.JK) with a market cap of 774,277,913,640,960
4. PT Bank Rakyat Indonesia (Persero) Tbk (BBRI.JK) with a market cap of 753,870,040,989,696
5. PT Bank Mandiri (Persero) Tbk (BMRI.JK) with a market cap of 664,999,785,660,416

→: great, get me the overview of the last company on the list
🤖: Here's an overview of PT Bank Mandiri (Persero) Tbk (BMRI.JK):
- Address: Plaza Mandiri, Jl. Jend. Gatot Subroto Kav.36-38, Jakarta 12190
- Daily Close Change: 2.91%
- Email: cma@bankmandiri.co.id
- Employee Number: 38,769
- Industry: Banks
- Last Close Price: 7,075
- Latest Close Date: 2024-10-08
...

→: comparing its last close price here, is it higher than that of BBCA's last close price?
🤖: To compare the last close prices, I'll need to get the latest close price for PT Bank Central Asia Tbk. (BBCA.JK). 
Shall I proceed?

→: yes
🤖: The last close price for PT Bank Central Asia Tbk. (BBCA.JK) is 10,400. 
Comparing this to PT Bank Mandiri (Persero) Tbk's last close price of 7,075, BBCA's last close price is higher.

→: quit()
🤖: Goodbye!