Ollama sequential not working, its just repeating tool calls #940
Description
Use multiple agents to run parallel at every stage of the process, to understand, for final review
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/qwen3",
tools=[get_stock_price, multiply]
)
result = agent.start("what is the stock price of Google? multiply the Google stock price with 2")
print(result)
❯ python ollama-sequential.py
23:51:24 - LiteLLM:DEBUG: litellm_logging.py:141 - [Non-Blocking] Unable to import GenericAPILogger - LiteLLM Enterprise Feature - No module named 'litellm.proxy.enterprise'
[23:51:24] DEBUG [23:51:24] litellm_logging.py:141 DEBUG [Non-Blocking] Unable to litellm_logging.py:141
import GenericAPILogger - LiteLLM Enterprise Feature - No module
named 'litellm.proxy.enterprise'
[23:51:25] DEBUG [23:51:25] telemetry.py:81 DEBUG Telemetry enabled with session telemetry.py:81
4abafad38cbc16ef
DEBUG [23:51:25] llm.py:150 DEBUG LLM instance initialized with: { llm.py:150
"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 [23:51:25] agent.py:417 DEBUG Tools passed to Agent with custom LLM: agent.py:417
[<function get_stock_price at 0x10087c5e0>, <function multiply at
0x100900b80>]
DEBUG [23:51:25] agent.py:1206 DEBUG Agent.chat parameters: { agent.py:1206
"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 [23:51:25] llm.py:701 INFO Getting response from ollama/llama3.2 llm.py:701
DEBUG [23:51:25] llm.py:156 DEBUG LLM instance configuration: { llm.py:156
"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 [23:51:25] llm.py:152 DEBUG get_response parameters: { llm.py:152
"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 [23:51:25] llm.py:2453 DEBUG Generating tool definition for callable: llm.py:2453
get_stock_price
DEBUG [23:51:25] llm.py:2498 DEBUG Function signature: (company_name: str) -> str llm.py:2498
DEBUG [23:51:25] llm.py:2517 DEBUG Function docstring: Get the stock price of a llm.py:2517
company
Args:
company_name (str): The name of the company
Returns:
str: The stock price of the company
DEBUG [23:51:25] llm.py:2523 DEBUG Param section split: ['Get the stock price of a llm.py:2523
company', 'company_name (str): The name of the company\n \nReturns:\n
str: The stock price of the company']
DEBUG [23:51:25] llm.py:2532 DEBUG Parameter descriptions: {'company_name (str)': llm.py:2532
'The name of the company', 'Returns': '', 'str': 'The stock price of the
company'}
DEBUG [23:51:25] llm.py:2556 DEBUG Generated parameters: {'type': 'object', llm.py:2556
'properties': {'company_name': {'type': 'string', 'description': 'Parameter
description not available'}}, 'required': ['company_name']}
DEBUG [23:51:25] llm.py:2565 DEBUG Generated tool definition: {'type': 'function', llm.py:2565
'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 [23:51:25] llm.py:2453 DEBUG Generating tool definition for callable: llm.py:2453
multiply
DEBUG [23:51:25] llm.py:2498 DEBUG Function signature: (a: int, b: int) -> int llm.py:2498
DEBUG [23:51:25] llm.py:2517 DEBUG Function docstring: Multiply two numbers llm.py:2517
DEBUG [23:51:25] llm.py:2523 DEBUG Param section split: ['Multiply two numbers'] llm.py:2523
DEBUG [23:51:25] llm.py:2532 DEBUG Parameter descriptions: {} llm.py:2532
DEBUG [23:51:25] llm.py:2556 DEBUG Generated parameters: {'type': 'object', llm.py:2556
'properties': {'a': {'type': 'integer', 'description': 'Parameter
description not available'}, 'b': {'type': 'integer', 'description':
'Parameter description not available'}}, 'required': ['a', 'b']}
DEBUG [23:51:25] llm.py:2565 DEBUG Generated tool definition: {'type': 'function', llm.py:2565
'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 0.7s
╭────────────────────────────────────────────────── Task ──────────────────────────────────────────────────╮
│ what is the stock price of Google? multiply the Google stock price with 2 │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯
╭──────────────────────────────────────────────── Response ────────────────────────────────────────────────╮
│ None │
╰──────────────────────────────────────────────────────────────────────────────────────────────────────────╯
[23:51:26] DEBUG [23:51:26] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
get_stock_price with args: {'company_name': 'Google'}
[23:51:27] DEBUG [23:51:27] agent.py:953 DEBUG Agent executing tool get_stock_price with agent.py:953
arguments: {'company_name': 'Google'}
DEBUG [23:51:27] telemetry.py:184 DEBUG Tool usage tracked: get_stock_price, telemetry.py:184
success=True
DEBUG [23:51:27] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: The llm.py:1031
stock price of Google is 100
DEBUG [23:51:27] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:51:27] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:51:27] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'get_stock_price' with arguments: {'company_name':
'Google'}\nFunction returned: The stock price of Google is 100"
DEBUG [23:51:27] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
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 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:51:27] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': '100', 'b': '2'}
DEBUG [23:51:27] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': '100', 'b': '2'}
DEBUG [23:51:27] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:27] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: 200 llm.py:1031
DEBUG [23:51:27] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}
Function returned: 200
DEBUG [23:51:27] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'100', 'b': '2'}
Function returned: 200
DEBUG [23:51:27] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
DEBUG [23:51:27] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
╭────────────────────────────────── Tool Call ──────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': '100', 'b': '2'} │
│ Function returned: 200 │
╰───────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:51:27] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
get_stock_price with args: {'company_name': 'Google'}
DEBUG [23:51:27] agent.py:953 DEBUG Agent executing tool get_stock_price with agent.py:953
arguments: {'company_name': 'Google'}
DEBUG [23:51:27] telemetry.py:184 DEBUG Tool usage tracked: get_stock_price, telemetry.py:184
success=True
DEBUG [23:51:27] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: The llm.py:1031
stock price of Google is 100
DEBUG [23:51:27] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:51:27] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'get_stock_price' with arguments:
{'company_name': 'Google'}
Function returned: The stock price of Google is 100
DEBUG [23:51:27] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'get_stock_price' with arguments: {'company_name':
'Google'}\nFunction returned: The stock price of Google is 100"
DEBUG [23:51:27] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
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 │
╰──────────────────────────────────────────────────────────────────────────────────────────╯
[23:51:28] DEBUG [23:51:28] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': '100', 'b': '2'}
DEBUG [23:51:28] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': '100', 'b': '2'}
DEBUG [23:51:28] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:28] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: 200 llm.py:1031
DEBUG [23:51:28] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}
Function returned: 200
DEBUG [23:51:28] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'100', 'b': '2'}
Function returned: 200
DEBUG [23:51:28] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
DEBUG [23:51:28] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
╭────────────────────────────────── Tool Call ──────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': '100', 'b': '2'} │
│ Function returned: 200 │
╰───────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:51:28] llm.py:431 DEBUG [OLLAMA_FIX] Function multiply received invalid llm.py:431
parameters: ['company_name']
DEBUG [23:51:28] llm.py:432 DEBUG [OLLAMA_FIX] Valid parameters for multiply: ['b', llm.py:432
'a']
DEBUG [23:51:28] llm.py:433 DEBUG [OLLAMA_FIX] Original arguments: {'a': llm.py:433
'get_stock_price', 'company_name': 'Google', 'b': '2'}
DEBUG [23:51:28] llm.py:434 DEBUG [OLLAMA_FIX] Filtered arguments: {'a': llm.py:434
'get_stock_price', 'b': '2'}
DEBUG [23:51:28] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': 'get_stock_price', 'b': '2'}
DEBUG [23:51:28] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': 'get_stock_price', 'b': '2'}
DEBUG [23:51:28] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:28] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: llm.py:1031
get_stock_priceget_stock_price
DEBUG [23:51:28] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a':
'get_stock_price', 'b': '2'}
Function returned: get_stock_priceget_stock_price
DEBUG [23:51:28] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'get_stock_price', 'b': '2'}
Function returned: get_stock_priceget_stock_price
DEBUG [23:51:28] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': 'get_stock_price',
'b': '2'}\nFunction returned: get_stock_priceget_stock_price"
DEBUG [23:51:28] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': 'get_stock_price',
'b': '2'}\nFunction returned: get_stock_priceget_stock_price"
╭──────────────────────────────────────── Tool Call ────────────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': 'get_stock_price', 'b': '2'} │
│ Function returned: get_stock_priceget_stock_price │
╰───────────────────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:51:28] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': '100', 'b': '2'}
DEBUG [23:51:28] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': '100', 'b': '2'}
DEBUG [23:51:28] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:28] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: 200 llm.py:1031
DEBUG [23:51:28] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}
Function returned: 200
DEBUG [23:51:28] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'100', 'b': '2'}
Function returned: 200
DEBUG [23:51:28] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
DEBUG [23:51:28] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
╭────────────────────────────────── Tool Call ──────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': '100', 'b': '2'} │
│ Function returned: 200 │
╰───────────────────────────────────────────────────────────────────────────────╯
[23:51:29] DEBUG [23:51:29] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': '100', 'b': '2'}
DEBUG [23:51:29] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': '100', 'b': '2'}
DEBUG [23:51:29] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:29] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: 200 llm.py:1031
DEBUG [23:51:29] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}
Function returned: 200
DEBUG [23:51:29] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'100', 'b': '2'}
Function returned: 200
DEBUG [23:51:29] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
DEBUG [23:51:29] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
╭────────────────────────────────── Tool Call ──────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': '100', 'b': '2'} │
│ Function returned: 200 │
╰───────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:51:29] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': '100', 'b': '2'}
DEBUG [23:51:29] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': '100', 'b': '2'}
DEBUG [23:51:29] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:29] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: 200 llm.py:1031
DEBUG [23:51:29] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}
Function returned: 200
DEBUG [23:51:29] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'100', 'b': '2'}
Function returned: 200
DEBUG [23:51:29] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
DEBUG [23:51:29] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
╭────────────────────────────────── Tool Call ──────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': '100', 'b': '2'} │
│ Function returned: 200 │
╰───────────────────────────────────────────────────────────────────────────────╯
[23:51:30] DEBUG [23:51:30] llm.py:1029 DEBUG [TOOL_EXEC_DEBUG] About to execute tool llm.py:1029
multiply with args: {'a': '100', 'b': '2'}
DEBUG [23:51:30] agent.py:953 DEBUG Agent executing tool multiply with arguments: agent.py:953
{'a': '100', 'b': '2'}
DEBUG [23:51:30] telemetry.py:184 DEBUG Tool usage tracked: multiply, telemetry.py:184
success=True
DEBUG [23:51:30] llm.py:1031 DEBUG [TOOL_EXEC_DEBUG] Tool execution result: 200 llm.py:1031
DEBUG [23:51:30] llm.py:1038 DEBUG [TOOL_EXEC_DEBUG] Display message with result: llm.py:1038
Agent Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}
Function returned: 200
DEBUG [23:51:30] llm.py:1043 DEBUG [TOOL_EXEC_DEBUG] About to display tool call llm.py:1043
with message: Agent Agent called function 'multiply' with arguments: {'a':
'100', 'b': '2'}
Function returned: 200
DEBUG [23:51:30] main.py:224 DEBUG display_tool_call called with message: "Agent main.py:224
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
DEBUG [23:51:30] main.py:231 DEBUG Cleaned message in display_tool_call: "Agent main.py:231
Agent called function 'multiply' with arguments: {'a': '100', 'b':
'2'}\nFunction returned: 200"
╭────────────────────────────────── Tool Call ──────────────────────────────────╮
│ Agent Agent called function 'multiply' with arguments: {'a': '100', 'b': '2'} │
│ Function returned: 200 │
╰───────────────────────────────────────────────────────────────────────────────╯
DEBUG [23:51:30] agent.py:1296 DEBUG Agent.chat completed in 4.10 seconds agent.py:1296
DEBUG [23:51:30] telemetry.py:130 DEBUG Agent execution tracked: success=True telemetry.py:130
DEBUG [23:51:30] telemetry.py:130 DEBUG Agent execution tracked: success=True telemetry.py:130
DEBUG [23:51:30] telemetry.py:263 DEBUG Telemetry flush: {'enabled': True, telemetry.py:263
'session_id': '4abafad38cbc16ef', 'metrics': {'agent_executions': 2,
'task_completions': 0, 'tool_calls': 9, 'errors': 0}, 'environment':
{'python_version': '3.11.11', 'os_type': 'Darwin', 'framework_version':
'unknown'}}