Dolphin-mixtral:8x7b and CrewAI incompatible?

Does dolphin-mixtral just not work with Crew or am I not prompting right?

Searching I do not see much and what I find appears that others are also struggling with issues, etc.

My outputs when reading in files are the LLM trying to follow instructions in them instead of following the prompts, ignores part of the instructions for example.

In this case it ignored the part of the instructions “If there are tags in the document already ignore them.”

from crewai import Agent, Task, Crew
from langchain_community.llms import Ollama
from crewai_tools import FileReadTool
from pathlib import Path
import os

os.environ["OPENAI_API_KEY"] = "NA"

# LLM setup
llm = Ollama(
    model="dolphin-mixtral:8x7b",
    base_url="http://localhost:11434"
)

# File path
file_path = "mysqldump by tables.md"

# Read the file contents
file_contents = FileReadTool(file_path)

# Agent definition
file_processor_agent = Agent(
    role="File Tagger",
    goal="Process file contents and generate relevant tags that capture key technologies, languages, and core functions.",
    backstory="You are an expert file analyzer specializing in identifying core technologies and functionalities within markdown files. You excel at distilling complex content into concise, meaningful tags.",
    allow_delegation=False,
    verbose=True,
    llm=llm
)

# Task definition with output format guidance
file_processing_task = Task(
    description="""
 Analyze the provided file content and generate 5 tags that best represent its key elements.
    Focus on:
    Primary programming languages used
    Key technologies or libraries involved
    Main functionalities or operations performed
    If there are tags in the document already ignore them.
    Your output should be in this format: [ #tag1, #tag2, #tag3, #camelCaseTag4, #camelCaseTag5 ]
    """,
    agent=file_processor_agent,
    expected_output="5 camel case tags separated by commas only with the template [ #tag1, #tag2, #tag3 ]",
    tools=[file_contents]
)

# Function to read the contents of a file
def read_file(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        return file.read()

# Crew setup and execution
crew = Crew(
    agents=[file_processor_agent],
    tasks=[file_processing_task],
    verbose=True
)

# Kick off the process by passing the file contents as input
print("The file contents are:")
print(read_file(file_path))
print("\n\n")

result = crew.kickoff()

print(result)

The file contents are:

    Dump mysql database one table at a time use this script below, there are two versions one with pymysql and one without.
    
    With pymysql 
    
    ```python
    import argparse
    import subprocess
    import pymysql
    import getpass
    
    def get_db_tables(host, user, password, database):
        connection = pymysql.connect(host=host, user=user, password=password, db=database)
        try:
            with connection.cursor() as cursor:
                cursor.execute("SHOW TABLES;")
                return [table[0] for table in cursor.fetchall()]
        finally:
            connection.close()
    
    def main():
        parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
        parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
        parser.add_argument('-p', '--password', help="Password for the MySQL database")
        parser.add_argument('-d', '--database', required=True, help="Name of the database")
        parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")
    
        args = parser.parse_args()
    
        # Prompt for password if not provided
        if args.password is None:
            args.password = getpass.getpass(prompt="Enter MySQL password: ")
    
        tables = get_db_tables(args.host, args.user, args.password, args.database)
    
        # Loop through each table and dump it
        for table in tables:
            print(f"Exporting table: {table}")
            # Ensuring the password isn't visible in the process list
            dump_command = f"mysqldump -h {args.host} -u {args.user} --single-transaction {args.database} {table}"
            subprocess.run(['echo', args.password, '|', dump_command], shell=True)
    
    if __name__ == "__main__":
        main()
    
    ```
    
    Without pymysql
    
    ```python
    import argparse
    import subprocess
    import getpass
    
    def get_db_tables(host, user, password, database):
        # Constructing the MySQL command
        mysql_command = f"mysql -h {host} -u {user} -p{password} -e 'SHOW TABLES IN {database}'"
        try:
            # Running the MySQL command
            output = subprocess.check_output(mysql_command, shell=True, text=True)
            # Parsing the output to get the table names
            return [line.strip() for line in output.splitlines() if line.strip() and not line.startswith('Tables_in')]
        except subprocess.CalledProcessError as e:
            print(f"Error occurred: {e}")
            return []
    
    def main():
        parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
        parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
        parser.add_argument('-p', '--password', help="Password for the MySQL database")
        parser.add_argument('-d', '--database', required=True, help="Name of the database")
        parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")
    
        args = parser.parse_args()
    
        # Prompt for password if not provided
        if args.password is None:
            args.password = getpass.getpass(prompt="Enter MySQL password: ")
    
        tables = get_db_tables(args.host, args.user, args.password, args.database)
    
        # Loop through each table and dump it
        for table in tables:
            print(f"Exporting table: {table}")
            dump_command = f"mysqldump -h {args.host} -u {args.user} -p{args.password} --single-transaction {args.database} {table} > {table}.sql"
            subprocess.run(dump_command, shell=True)
    
    if __name__ == "__main__":
        main()
    ```
    
    Tags
    #mysql #python #pymysql #python3

Example output while debuging:

    [2024-09-18 22:26:17][DEBUG]: == Working Agent: File Tagger
     [2024-09-18 22:26:17][INFO]: == Starting Task: 
     Analyze the provided file content and generate 5 tags that best represent its key elements.
        Focus on:
        Primary programming languages used
        Key technologies or libraries involved
        Main functionalities or operations performed
        If there are tags in the document already ignore them.
        Your output should be in this format: [ #tag1, #tag2, #tag3, #camelCaseTag4, #camelCaseTag5 ]
        
    
    
    > Entering new CrewAgentExecutor chain...
     I should read the file's content first.
    Action: Read a file's content
    Action Input: {"file_path": "tables.md"} 
    
    Dump mysql database one table at a time use this script below, there are two versions one with pymysql and one without.
    
    With pymysql 
    
    ```python
    import argparse
    import subprocess
    import pymysql
    import getpass
    
    def get_db_tables(host, user, password, database):
        connection = pymysql.connect(host=host, user=user, password=password, db=database)
        try:
            with connection.cursor() as cursor:
                cursor.execute("SHOW TABLES;")
                return [table[0] for table in cursor.fetchall()]
        finally:
            connection.close()
    
    def main():
        parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
        parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
        parser.add_argument('-p', '--password', help="Password for the MySQL database")
        parser.add_argument('-d', '--database', required=True, help="Name of the database")
        parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")
    
        args = parser.parse_args()
    
        # Prompt for password if not provided
        if args.password is None:
            args.password = getpass.getpass(prompt="Enter MySQL password: ")
    
        tables = get_db_tables(args.host, args.user, args.password, args.database)
    
        # Loop through each table and dump it
        for table in tables:
            print(f"Exporting table: {table}")
            # Ensuring the password isn't visible in the process list
            dump_command = f"mysqldump -h {args.host} -u {args.user} --single-transaction {args.database} {table}"
            subprocess.run(['echo', args.password, '|', dump_command], shell=True)
    
    if __name__ == "__main__":
        main()
    
    ```
    
    Without pymysql
    
    ```python
    import argparse
    import subprocess
    import getpass
    
    def get_db_tables(host, user, password, database):
        # Constructing the MySQL command
        mysql_command = f"mysql -h {host} -u {user} -p{password} -e 'SHOW TABLES IN {database}'"
        try:
            # Running the MySQL command
            output = subprocess.check_output(mysql_command, shell=True, text=True)
            # Parsing the output to get the table names
            return [line.strip() for line in output.splitlines() if line.strip() and not line.startswith('Tables_in')]
        except subprocess.CalledProcessError as e:
            print(f"Error occurred: {e}")
            return []
    
    def main():
        parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
        parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
        parser.add_argument('-p', '--password', help="Password for the MySQL database")
        parser.add_argument('-d', '--database', required=True, help="Name of the database")
        parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")
    
        args = parser.parse_args()
    
        # Prompt for password if not provided
        if args.password is None:
            args.password = getpass.getpass(prompt="Enter MySQL password: ")
    
        tables = get_db_tables(args.host, args.user, args.password, args.database)
    
        # Loop through each table and dump it
        for table in tables:
            print(f"Exporting table: {table}")
            dump_command = f"mysqldump -h {args.host} -u {args.user} -p{args.password} --single-transaction {args.database} {table} > {table}.sql"
            subprocess.run(dump_command, shell=True)
    
    if __name__ == "__main__":
        main()
    ```
    
    Tags
    #mysql #python #pymysql #python3
    
     Final Answer: [ #mysql, #python, #pymysql, #python3 ]
    
    > Finished chain.
     [2024-09-18 22:26:24][DEBUG]: == [File Tagger] Task output: [ #mysql, #python, #pymysql, #python3 ]
    
    
    [ #mysql, #python, #pymysql, #python3 ]

Upgrade to latest version 0.60.0, we now use LiteLLM instead of Langchain

ok so bit stuck here, now that langchain was replaced with liteLLM how do we use a local LLM in a container? I know that I have to build an object that provids the url and model to use, the closest I see to that in the documentation is a completion … from litellm import completion , bit lost here as that does not seem right.

from langchain_community.llms import Ollama

# Instantiate the Ollama LLM
ollama_llm = Ollama(
    model="dolphin-mixtral:8x7b",  # Ensure this model is available in your Ollama server
    base_url="http://localhost:11434"  # Ensure the server is running here
)```

Poking in places I prob shouldn’t be the closest I see is in litellm_core_utils/get_llm_provider_logic.py ,



```def get_llm_provider(
    model: str,
    custom_llm_provider: Optional[str] = None,
    api_base: Optional[str] = None,
    api_key: Optional[str] = None,
    litellm_params: Optional[LiteLLM_Params] = None,
)```

Have you tried installing ollama in the container via your dockerfile?
Even better maybe to create a seperrate ollama container & expose port:11434 to other containers within the set-up. Internally docker/K8’s will assign a netork/sys domain.

Did you see my reply above, it explains how to use local Ollama.

just define in your agent

llm='ollama/<YOURMODEL>'

and just set the base URL as normal

os.environ["OPENAI_BASE_URL"] = "http://localhost:11434"

Thanks yes, I did look at the document but it wasn’t clear to me that we should use the os.environ["OPENAI_BASE_URL"] variable for the local LLM, that isn’t openAI.

Yes that is exactly what I am doing on my system I have docker running ollama with dolphin-mixtral:8x7b and a few others to play with , will try the base url suggestions that Matt pointed out and report back.

thanks those changes helped make it work and connect with the LLM.

See if it follows documents as instructions, now rather than making tags as intended.

Hmm yea still doing it, kinda of random.
Strange.

On some instances it has an empty tool input and or doesn’t get the entire file name:

    ## Tool Input: 
    {
      "file_path": "tables.md"
    }

then it filnally gets the contents somehow even though the tool input is still incorrect.


# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{
  "file_path": "tables.md"
}
## Tool Output: 
Dump mysql database one table at a time use this script below, there are two versions one with pymysql and one without.

Compete verbose output follows:

```
python test_singleFile.py
The file contents are:



# Agent: File Tagger
## Task: 
 Analyze the provided file content and generate 5 tags that best represent its key elements.
    Focus on:
    Primary programming languages used
    Key technologies or libraries involved
    Main functionalities or operations performed
    If there are tags in the document already ignore them.
    Your output should be in this format: [ #tag1, #tag2, #tag3, #camelCaseTag4, #camelCaseTag5 ]
    


# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
Dump mysql database one table at a time use this script below, there are two versions one with pymysql and one without.

With pymysql 

```python
import argparse
import subprocess
import pymysql
import getpass

def get_db_tables(host, user, password, database):
    connection = pymysql.connect(host=host, user=user, password=password, db=database)
    try:
        with connection.cursor() as cursor:
            cursor.execute("SHOW TABLES;")
            return [table[0] for table in cursor.fetchall()]
    finally:
        connection.close()

def main():
    parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
    parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
    parser.add_argument('-p', '--password', help="Password for the MySQL database")
    parser.add_argument('-d', '--database', required=True, help="Name of the database")
    parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")

    args = parser.parse_args()

    # Prompt for password if not provided
    if args.password is None:
        args.password = getpass.getpass(prompt="Enter MySQL password: ")

    tables = get_db_tables(args.host, args.user, args.password, args.database)

    # Loop through each table and dump it
    for table in tables:
        print(f"Exporting table: {table}")
        # Ensuring the password isn't visible in the process list
        dump_command = f"mysqldump -h {args.host} -u {args.user} --single-transaction {args.database} {table}"
        subprocess.run(['echo', args.password, '|', dump_command], shell=True)

if __name__ == "__main__":
    main()

```

Without pymysql

```python
import argparse
import subprocess
import getpass

def get_db_tables(host, user, password, database):
    # Constructing the MySQL command
    mysql_command = f"mysql -h {host} -u {user} -p{password} -e 'SHOW TABLES IN {database}'"
    try:
        # Running the MySQL command
        output = subprocess.check_output(mysql_command, shell=True, text=True)
        # Parsing the output to get the table names
        return [line.strip() for line in output.splitlines() if line.strip() and not line.startswith('Tables_in')]
    except subprocess.CalledProcessError as e:
        print(f"Error occurred: {e}")
        return []

def main():
    parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
    parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
    parser.add_argument('-p', '--password', help="Password for the MySQL database")
    parser.add_argument('-d', '--database', required=True, help="Name of the database")
    parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")

    args = parser.parse_args()

    # Prompt for password if not provided
    if args.password is None:
        args.password = getpass.getpass(prompt="Enter MySQL password: ")

    tables = get_db_tables(args.host, args.user, args.password, args.database)

    # Loop through each table and dump it
    for table in tables:
        print(f"Exporting table: {table}")
        dump_command = f"mysqldump -h {args.host} -u {args.user} -p{args.password} --single-transaction {args.database} {table} > {table}.sql"
        subprocess.run(dump_command, shell=True)

if __name__ == "__main__":
    main()
```

Tags
#mysql #python #pymysql #python3


# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Thought: Thought: The first action is useless for this task. Let's focus on extracting relevant tags from the provided file content.
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




You ONLY have access to the following tools, and should NEVER make up tools that are not listed here:

Tool Name: Read a file's content(**kwargs: Any) -> Any
Tool Description: Read a file's content() - A tool that can be used to read mysqldump by tables.md's content. 
Tool Arguments: {}

Use the following format:

Thought: you should always think about what to do
Action: the action to take, only one name of [Read a file's content], just the name, exactly as it's written.
Action Input: the input to the action, just a simple python dictionary, enclosed in curly braces, using " to wrap keys and values.
Observation: the result of the action

Once all necessary information is gathered:

Thought: I now know the final answer
Final Answer: the final answer to the original input question



# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




You ONLY have access to the following tools, and should NEVER make up tools that are not listed here:

Tool Name: Read a file's content(**kwargs: Any) -> Any
Tool Description: Read a file's content() - A tool that can be used to read mysqldump by tables.md's content. 
Tool Arguments: {}

Use the following format:

Thought: you should always think about what to do
Action: the action to take, only one name of [Read a file's content], just the name, exactly as it's written.
Action Input: the input to the action, just a simple python dictionary, enclosed in curly braces, using " to wrap keys and values.
Observation: the result of the action

Once all necessary information is gathered:

Thought: I now know the final answer
Final Answer: the final answer to the original input question



# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




You ONLY have access to the following tools, and should NEVER make up tools that are not listed here:

Tool Name: Read a file's content(**kwargs: Any) -> Any
Tool Description: Read a file's content() - A tool that can be used to read mysqldump by tables.md's content. 
Tool Arguments: {}

Use the following format:

Thought: you should always think about what to do
Action: the action to take, only one name of [Read a file's content], just the name, exactly as it's written.
Action Input: the input to the action, just a simple python dictionary, enclosed in curly braces, using " to wrap keys and values.
Observation: the result of the action

Once all necessary information is gathered:

Thought: I now know the final answer
Final Answer: the final answer to the original input question



# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




You ONLY have access to the following tools, and should NEVER make up tools that are not listed here:

Tool Name: Read a file's content(**kwargs: Any) -> Any
Tool Description: Read a file's content() - A tool that can be used to read mysqldump by tables.md's content. 
Tool Arguments: {}

Use the following format:

Thought: you should always think about what to do
Action: the action to take, only one name of [Read a file's content], just the name, exactly as it's written.
Action Input: the input to the action, just a simple python dictionary, enclosed in curly braces, using " to wrap keys and values.
Observation: the result of the action

Once all necessary information is gathered:

Thought: I now know the final answer
Final Answer: the final answer to the original input question



# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




You ONLY have access to the following tools, and should NEVER make up tools that are not listed here:

Tool Name: Read a file's content(**kwargs: Any) -> Any
Tool Description: Read a file's content() - A tool that can be used to read mysqldump by tables.md's content. 
Tool Arguments: {}

Use the following format:

Thought: you should always think about what to do
Action: the action to take, only one name of [Read a file's content], just the name, exactly as it's written.
Action Input: the input to the action, just a simple python dictionary, enclosed in curly braces, using " to wrap keys and values.
Observation: the result of the action

Once all necessary information is gathered:

Thought: I now know the final answer
Final Answer: the final answer to the original input question



# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{}
## Tool Output: 
I tried reusing the same input, I must stop using this action input. I'll try something else instead.




# Agent: File Tagger
## Using tool: Read a file's content
## Tool Input: 
{
  "file_path": "tables.md"
}
## Tool Output: 
Dump mysql database one table at a time use this script below, there are two versions one with pymysql and one without.

With pymysql 

```python
import argparse
import subprocess
import pymysql
import getpass

def get_db_tables(host, user, password, database):
    connection = pymysql.connect(host=host, user=user, password=password, db=database)
    try:
        with connection.cursor() as cursor:
            cursor.execute("SHOW TABLES;")
            return [table[0] for table in cursor.fetchall()]
    finally:
        connection.close()

def main():
    parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
    parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
    parser.add_argument('-p', '--password', help="Password for the MySQL database")
    parser.add_argument('-d', '--database', required=True, help="Name of the database")
    parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")

    args = parser.parse_args()

    # Prompt for password if not provided
    if args.password is None:
        args.password = getpass.getpass(prompt="Enter MySQL password: ")

    tables = get_db_tables(args.host, args.user, args.password, args.database)

    # Loop through each table and dump it
    for table in tables:
        print(f"Exporting table: {table}")
        # Ensuring the password isn't visible in the process list
        dump_command = f"mysqldump -h {args.host} -u {args.user} --single-transaction {args.database} {table}"
        subprocess.run(['echo', args.password, '|', dump_command], shell=True)

if __name__ == "__main__":
    main()

```

Without pymysql

```python
import argparse
import subprocess
import getpass

def get_db_tables(host, user, password, database):
    # Constructing the MySQL command
    mysql_command = f"mysql -h {host} -u {user} -p{password} -e 'SHOW TABLES IN {database}'"
    try:
        # Running the MySQL command
        output = subprocess.check_output(mysql_command, shell=True, text=True)
        # Parsing the output to get the table names
        return [line.strip() for line in output.splitlines() if line.strip() and not line.startswith('Tables_in')]
    except subprocess.CalledProcessError as e:
        print(f"Error occurred: {e}")
        return []

def main():
    parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
    parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
    parser.add_argument('-p', '--password', help="Password for the MySQL database")
    parser.add_argument('-d', '--database', required=True, help="Name of the database")
    parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")

    args = parser.parse_args()

    # Prompt for password if not provided
    if args.password is None:
        args.password = getpass.getpass(prompt="Enter MySQL password: ")

    tables = get_db_tables(args.host, args.user, args.password, args.database)

    # Loop through each table and dump it
    for table in tables:
        print(f"Exporting table: {table}")
        dump_command = f"mysqldump -h {args.host} -u {args.user} -p{args.password} --single-transaction {args.database} {table} > {table}.sql"
        subprocess.run(dump_command, shell=True)

if __name__ == "__main__":
    main()
```

Tags
#mysql #python #pymysql #python3


# Agent: File Tagger
## Final Answer: 
To export tables from a MySQL database, you can use the following Python script which utilizes pymysql to connect to the database and retrieve table names, then mysqldump to export each table as a SQL file:

```python
import argparse
import subprocess
import getpass
import pymysql

def get_db_tables(host, user, password, database):
    try:
        # Connecting to the MySQL database using pymysql
        connection = pymysql.connect(host=host, user=user, password=password, db=database)
        cursor = connection.cursor()

        # Fetching table names from the database
        tables = [record[0] for record in cursor.execute("SHOW TABLES")]

        return tables
    finally:
        connection.close()

def main():
    parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
    parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
    parser.add_argument('-p', '--password', help="Password for the MySQL database")
    parser.add_argument('-d', '--database', required=True, help="Name of the database")
    parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")

    args = parser.parse_args()

    # Prompt for password if not provided
    if args.password is None:
        args.password = getpass.getpass(prompt="Enter MySQL password: ")

    tables = get_db_tables(args.host, args.user, args.password, args.database)

    # Loop through each table and dump it
    for table in tables:
        print(f"Exporting table: {table}")
        dump_command = f"mysqldump -h {args.host} -u {args.user} --single-transaction {args.database} {table} > {table}.sql"
        subprocess.run(['echo', args.password, '|', dump_command], shell=True)

if __name__ == "__main__":
    main()
```

This script will prompt you for the password if not provided and then loop through each table in the database, exporting it as a SQL file. The mysqldump command is used with the `--single-transaction` flag to ensure that data from tables being dumped doesn't change during the export process.

If you would prefer to use a different method or tool to achieve this task, let me know and I can provide an alternative solution.
To export tables from a MySQL database, you can use the following Python script which utilizes pymysql to connect to the database and retrieve table names, then mysqldump to export each table as a SQL file:

```python
import argparse
import subprocess
import getpass
import pymysql

def get_db_tables(host, user, password, database):
    try:
        # Connecting to the MySQL database using pymysql
        connection = pymysql.connect(host=host, user=user, password=password, db=database)
        cursor = connection.cursor()

        # Fetching table names from the database
        tables = [record[0] for record in cursor.execute("SHOW TABLES")]

        return tables
    finally:
        connection.close()

def main():
    parser = argparse.ArgumentParser(description="Export tables from a MySQL database.")
    parser.add_argument('-u', '--user', required=True, help="Username for the MySQL database")
    parser.add_argument('-p', '--password', help="Password for the MySQL database")
    parser.add_argument('-d', '--database', required=True, help="Name of the database")
    parser.add_argument('-H', '--host', required=True, help="Host of the MySQL server")

    args = parser.parse_args()

    # Prompt for password if not provided
    if args.password is None:
        args.password = getpass.getpass(prompt="Enter MySQL password: ")

    tables = get_db_tables(args.host, args.user, args.password, args.database)

    # Loop through each table and dump it
    for table in tables:
        print(f"Exporting table: {table}")
        dump_command = f"mysqldump -h {args.host} -u {args.user} --single-transaction {args.database} {table} > {table}.sql"
        subprocess.run(['echo', args.password, '|', dump_command], shell=True)

if __name__ == "__main__":
    main()
```

This script will prompt you for the password if not provided and then loop through each table in the database, exporting it as a SQL file. The mysqldump command is used with the `--single-transaction` flag to ensure that data from tables being dumped doesn't change during the export process.

If you would prefer to use a different method or tool to achieve this task, let me know and I can provide an alternative solution.
```

Great, how do you add temperature for ollama/model ? and add other attributes? I can see something is in the works Large Language Models (LLMs) in crewAI - crewAI

Upgrade to latest version 0.61.3

then you can do this

llm = LLM(
    model="gpt-4",
    temperature=0.8,
    max_tokens=150,
    top_p=0.9,
    frequency_penalty=0.1,
    presence_penalty=0.1,
    stop=["END"],
    seed=42,
    base_url="https://api.openai.com/v1",
    api_key="your-api-key-here"
)
agent = Agent(llm=llm, ...)

Obviously change base url, api and model to your needs

Obviously remove any parameters you do not need

1 Like