Ollama sequential still failing #854
Description
❯ python ollama-sequential.py
23:29:55 - LiteLLM:DEBUG: litellm_logging.py:141 - [Non-Blocking] Unable to import GenericAPILogger - LiteLLM Enterprise Feature - No module named 'litellm.proxy.enterprise'
[23:29:55] DEBUG [23:29:55] litellm_logging.py:141 DEBUG [Non-Blocking] litellm_logging.py:141
Unable to import GenericAPILogger - LiteLLM Enterprise
Feature - No module named 'litellm.proxy.enterprise'
[23:29:56] DEBUG [23:29:56] telemetry.py:81 DEBUG Telemetry enabled with session telemetry.py:81
409dc204e95e5fe1
DEBUG [23:29:56] llm.py:141 DEBUG LLM instance initialized with: { llm.py:141
"model": "ollama/llama3.2",
"timeout": null,
"temperature": null,
"top_p": null,
"n": null,
"max_tokens": null,
"presence_penalty": null,
"frequency_penalty": null,
"logit_bias": null,
"response_format": null,
"seed": null,
"logprobs": null,
"top_logprobs": null,
"api_version": null,
"stop_phrases": null,
"api_key": null,
"base_url": null,
"verbose": true,
"markdown": true,
"self_reflect": false,
"max_reflect": 3,
"min_reflect": 1,
"reasoning_steps": false,
"extra_settings": {}
}
DEBUG [23:29:56] agent.py:416 DEBUG Tools passed to Agent with custom agent.py:416
LLM: [<function get_stock_price at 0x1053b0ae0>, <function
multiply at 0x10553d6c0>]
DEBUG [23:29:56] agent.py:1160 DEBUG Agent.chat parameters: { agent.py:1160
"prompt": "what is the stock price of Google? multiply the
Google stock price with 2",
"temperature": 0.2,
"tools": null,
"output_json": null,
"output_pydantic": null,
"reasoning_steps": false,
"agent_name": "Agent",
"agent_role": "Assistant",
"agent_goal": "You are a helpful assistant. You can use the
tools provided to you to help the user."
}
INFO [23:29:56] llm.py:593 INFO Getting response from ollama/llama3.2 llm.py:593
DEBUG [23:29:56] llm.py:147 DEBUG LLM instance configuration: { llm.py:147
"model": "ollama/llama3.2",
"timeout": null,
"temperature": null,
"top_p": null,
"n": null,
"max_tokens": null,
"presence_penalty": null,
"frequency_penalty": null,
"logit_bias": null,
"response_format": null,
"seed": null,
"logprobs": null,
"top_logprobs": null,
"api_version": null,
"stop_phrases": null,
"api_key": null,
"base_url": null,
"verbose": true,
"markdown": true,
"self_reflect": false,
"max_reflect": 3,
"min_reflect": 1,
"reasoning_steps": false
}
DEBUG [23:29:56] llm.py:143 DEBUG get_response parameters: { llm.py:143
"prompt": "what is the stock price of Google? multiply the Google
stock price with 2",
"system_prompt": "You are a helpful assistant. You can use the
tools provided to you to help the user.\n\nYour Role: Ass...",
"chat_history": "[1 messages]",
"temperature": 0.2,
"tools": [
"get_stock_price",
"multiply"
],
"output_json": null,
"output_pydantic": null,
"verbose": true,
"markdown": true,
"self_reflect": false,
"max_reflect": 3,
"min_reflect": 1,
"agent_name": "Agent",
"agent_role": "Assistant",
"agent_tools": [
"get_stock_price",
"multiply"
],
"kwargs": "{'reasoning_steps': False}"
}
DEBUG [23:29:56] llm.py:2180 DEBUG Generating tool definition for llm.py:2180
callable: get_stock_price
DEBUG [23:29:56] llm.py:2225 DEBUG Function signature: (company_name: llm.py:2225
str) -> str
DEBUG [23:29:56] llm.py:2244 DEBUG Function docstring: Get the stock llm.py:2244
price of a company
Args:
company_name (str): The name of the company
Returns:
str: The stock price of the company
DEBUG [23:29:56] llm.py:2250 DEBUG Param section split: ['Get the stock llm.py:2250
price of a company', 'company_name (str): The name of the company\n
\nReturns:\n str: The stock price of the company']
DEBUG [23:29:56] llm.py:2259 DEBUG Parameter descriptions: {'company_name llm.py:2259
(str)': 'The name of the company', 'Returns': '', 'str': 'The stock
price of the company'}
DEBUG [23:29:56] llm.py:2283 DEBUG Generated parameters: {'type': llm.py:2283
'object', 'properties': {'company_name': {'type': 'string',
'description': 'Parameter description not available'}}, 'required':
['company_name']}
DEBUG [23:29:56] llm.py:2292 DEBUG Generated tool definition: {'type': llm.py:2292
'function', 'function': {'name': 'get_stock_price', 'description':
'Get the stock price of a company', 'parameters': {'type':
'object', 'properties': {'company_name': {'type': 'string',
'description': 'Parameter description not available'}}, 'required':
['company_name']}}}
DEBUG [23:29:56] llm.py:2180 DEBUG Generating tool definition for llm.py:2180
callable: multiply
DEBUG [23:29:56] llm.py:2225 DEBUG Function signature: (a: int, b: int) llm.py:2225
-> int
DEBUG [23:29:56] llm.py:2244 DEBUG Function docstring: Multiply two llm.py:2244
numbers
DEBUG [23:29:56] llm.py:2250 DEBUG Param section split: ['Multiply two llm.py:2250
numbers']
DEBUG [23:29:56] llm.py:2259 DEBUG Parameter descriptions: {} llm.py:2259
DEBUG [23:29:56] llm.py:2283 DEBUG Generated parameters: {'type': llm.py:2283
'object', 'properties': {'a': {'type': 'integer', 'description':
'Parameter description not available'}, 'b': {'type': 'integer',
'description': 'Parameter description not available'}}, 'required':
['a', 'b']}
DEBUG [23:29:56] llm.py:2292 DEBUG Generated tool definition: {'type': llm.py:2292
'function', 'function': {'name': 'multiply', 'description':
'Multiply two numbers', 'parameters': {'type': 'object',
'properties': {'a': {'type': 'integer', 'description': 'Parameter
description not available'}, 'b': {'type': 'integer',
'description': 'Parameter description not available'}}, 'required':
['a', 'b']}}}
╭─ Agent Info ────────────────────────────────────────────────────────────────────────────────────╮
│ │
│ 👤 Agent: Agent │
│ Role: Assistant │
│ Tools: get_stock_price, multiply │
│ │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭────────────────────────────────────────── Instruction ──────────────────────────────────────────╮
│ Agent Agent is processing prompt: what is the stock price of Google? multiply the Google stock │
│ price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
/Users/praison/miniconda3/envs/praisonai-package/lib/python3.11/site-packages/httpx/_models.py:408: DeprecationWarning: Use 'content=<...>' to upload raw bytes/text content.
headers, stream = encode_request(
Response generated in 18.1s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
[23:30:14] DEBUG [23:30:14] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:14] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:14] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:14] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:14] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:14] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:14] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:14] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
[23:30:15] DEBUG [23:30:15] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:15] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:15] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:15] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:15] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:15] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:15] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:15] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:15] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:15] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:15] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:15] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:15] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:15] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:15] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:15] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:15] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:15] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:15] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:15] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:15] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:15] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:15] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:15] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
[23:30:16] DEBUG [23:30:16] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:16] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:16] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:16] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:16] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:16] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:16] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:16] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:16] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:16] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:16] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:16] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:16] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:16] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:16] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:16] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:16] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:16] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:16] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:16] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:16] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:16] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:16] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:16] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
[23:30:17] DEBUG [23:30:17] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:17] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:17] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:17] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:17] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:17] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:17] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:17] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.3s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:17] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:17] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:17] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:17] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:17] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:17] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:17] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:17] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 0.4s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:17] llm.py:828 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:828
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:30:17] agent.py:946 DEBUG Agent executing tool get_stock_price agent.py:946
with arguments: {'company_name': 'Google'}
DEBUG [23:30:17] telemetry.py:152 DEBUG Tool usage tracked: telemetry.py:152
get_stock_price, success=True
DEBUG [23:30:17] llm.py:830 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:830
The stock price of Google is 100
DEBUG [23:30:17] llm.py:837 DEBUG [TOOL_EXEC_DEBUG] Display message with llm.py:837
result: Agent Agent called function 'get_stock_price' with
arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:17] llm.py:842 DEBUG [TOOL_EXEC_DEBUG] About to display tool llm.py:842
call with message: Agent Agent called function 'get_stock_price'
with arguments: {'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:30:17] main.py:175 DEBUG display_tool_call called with message: main.py:175
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
DEBUG [23:30:17] main.py:182 DEBUG Cleaned message in display_tool_call: main.py:182
"Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}\nFunction returned: The stock price of
Google is 100"
╭─────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'get_stock_price' with arguments: {'company_name': 'Google'} │
│ Function returned: The stock price of Google is 100 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
Response generated in 21.2s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
│ None │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:17] main.py:86 DEBUG Empty content received in main.py:86
_clean_display_content: ''
Response generated in 21.2s
╭───────────────────────────────────────────── Task ──────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
╭─────────────────────────────────────────── Response ────────────────────────────────────────────╮
╰─────────────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:30:17] agent.py:1247 DEBUG Agent.chat completed in 21.21 agent.py:1247
seconds
DEBUG [23:30:17] telemetry.py:121 DEBUG Agent execution tracked: telemetry.py:121
success=True
DEBUG [23:30:17] telemetry.py:121 DEBUG Agent execution tracked: telemetry.py:121
success=True
[23:30:18] DEBUG [23:30:18] telemetry.py:209 DEBUG Telemetry flush: {'enabled': telemetry.py:209
True, 'session_id': '409dc204e95e5fe1', 'metrics':
{'agent_executions': 2, 'task_completions': 0, 'tool_calls':
10, 'errors': 0}, 'environment': {'python_version': '3.11.11',
'os_type': 'Darwin', 'framework_version': 'unknown'}}
❯
from praisonaiagents import Agent
def get_stock_price(company_name: str) -> str:
"""
Get the stock price of a company
Args:
company_name (str): The name of the company
Returns:
str: The stock price of the company
"""
return f"The stock price of {company_name} is 100"
def multiply(a: int, b: int) -> int:
"""
Multiply two numbers
"""
return a * b
agent = Agent(
instructions="You are a helpful assistant. You can use the tools provided to you to help the user.",
llm="ollama/llama3.2",
tools=[get_stock_price, multiply]
)
result = agent.start("what is the stock price of Google? multiply the Google stock price with 2")
print(result)