ai-mirow-projects
/
swarms
mirror of https://github.com/kyegomez/swarms
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

[DOCS]

Browse Source
revert-563-dependabot/pip/pymdown-extensions-approx-eq-10.9
Kye Gomez 5 months ago
parent 07f8e371de
commit f6acc4adfd
6 changed files with 62 additions and 40 deletions
Show Stats Download Patch File Download Diff File

1
docs/mkdocs.yml
Unescape View File

@ -152,6 +152,7 @@ nav:
- HuggingFaceLLM: "swarms/models/huggingface.md"
- Anthropic: "swarms/models/anthropic.md"
- OpenAIChat: "swarms/models/openai.md"
- OpenAIFunctionCaller: "swarms/models/openai_function_caller.md"
# - TogetherAI: "swarms/models/togetherai.md"
- MultiModal Models:
- BaseMultiModalModel: "swarms/models/base_multimodal_model.md"

57
playground/agents/monitoring/agent_ops.py
Unescape View File

@ -44,14 +44,14 @@ CFO = Agent(
agent_name="CFO",
system_prompt="Give your opinion on the financial performance of the company.",
agent_description=(
"the top financial executive in an organization, overseeing all financial operations and strategy. Their role is broader than a treasurer's and includes:\n"
"Financial planning and analysis\n"
"Accounting and financial reporting\n"
"Budgeting and forecasting\n"
"Strategic financial decision-making\n"
"Compliance and risk management\n"
"Investor relations (in public companies)\n"
"Overseeing the finance and accounting departments"
"the top financial executive in an organization, overseeing all financial operations and strategy. Their role is broader than a treasurer's and includes:\n"
"Financial planning and analysis\n"
"Accounting and financial reporting\n"
"Budgeting and forecasting\n"
"Strategic financial decision-making\n"
"Compliance and risk management\n"
"Investor relations (in public companies)\n"
"Overseeing the finance and accounting departments"
),
llm=OpenAIChat(),
max_loops=1,
@ -63,23 +63,24 @@ swarm = AgentRearrange(
flow="Treasurer -> CFO",
)
results = swarm.run("Date,Revenue,Expenses,Profit,Cash_Flow,Inventory,Customer_Acquisition_Cost,Customer_Retention_Rate,Marketing_Spend,R&D_Spend,Debt,Assets\n"
"2023-01-01,1000000,800000,200000,150000,500000,100,0.85,50000,100000,2000000,5000000\n"
"2023-02-01,1050000,820000,230000,180000,520000,95,0.87,55000,110000,1950000,5100000\n"
"2023-03-01,1100000,850000,250000,200000,530000,90,0.88,60000,120000,1900000,5200000\n"
"2023-04-01,1200000,900000,300000,250000,550000,85,0.90,70000,130000,1850000,5400000\n"
"2023-05-01,1300000,950000,350000,300000,580000,80,0.92,80000,140000,1800000,5600000\n"
"2023-06-01,1400000,1000000,400000,350000,600000,75,0.93,90000,150000,1750000,5800000\n"
"2023-07-01,1450000,1050000,400000,320000,620000,78,0.91,95000,160000,1700000,5900000\n"
"2023-08-01,1500000,1100000,400000,300000,650000,80,0.90,100000,170000,1650000,6000000\n"
"2023-09-01,1550000,1150000,400000,280000,680000,82,0.89,105000,180000,1600000,6100000\n"
"2023-10-01,1600000,1200000,400000,260000,700000,85,0.88,110000,190000,1550000,6200000\n"
"2023-11-01,1650000,1250000,400000,240000,720000,88,0.87,115000,200000,1500000,6300000\n"
"2023-12-01,1700000,1300000,400000,220000,750000,90,0.86,120000,210000,1450000,6400000\n"
"2024-01-01,1500000,1200000,300000,180000,780000,95,0.84,100000,180000,1500000,6300000\n"
"2024-02-01,1550000,1220000,330000,200000,760000,92,0.85,105000,185000,1480000,6350000\n"
"2024-03-01,1600000,1240000,360000,220000,740000,89,0.86,110000,190000,1460000,6400000\n"
"2024-04-01,1650000,1260000,390000,240000,720000,86,0.87,115000,195000,1440000,6450000\n"
"2024-05-01,1700000,1280000,420000,260000,700000,83,0.88,120000,200000,1420000,6500000\n"
"2024-06-01,1750000,1300000,450000,280000,680000,80,0.89,125000,205000,1400000,6550000"
)
results = swarm.run(
"Date,Revenue,Expenses,Profit,Cash_Flow,Inventory,Customer_Acquisition_Cost,Customer_Retention_Rate,Marketing_Spend,R&D_Spend,Debt,Assets\n"
"2023-01-01,1000000,800000,200000,150000,500000,100,0.85,50000,100000,2000000,5000000\n"
"2023-02-01,1050000,820000,230000,180000,520000,95,0.87,55000,110000,1950000,5100000\n"
"2023-03-01,1100000,850000,250000,200000,530000,90,0.88,60000,120000,1900000,5200000\n"
"2023-04-01,1200000,900000,300000,250000,550000,85,0.90,70000,130000,1850000,5400000\n"
"2023-05-01,1300000,950000,350000,300000,580000,80,0.92,80000,140000,1800000,5600000\n"
"2023-06-01,1400000,1000000,400000,350000,600000,75,0.93,90000,150000,1750000,5800000\n"
"2023-07-01,1450000,1050000,400000,320000,620000,78,0.91,95000,160000,1700000,5900000\n"
"2023-08-01,1500000,1100000,400000,300000,650000,80,0.90,100000,170000,1650000,6000000\n"
"2023-09-01,1550000,1150000,400000,280000,680000,82,0.89,105000,180000,1600000,6100000\n"
"2023-10-01,1600000,1200000,400000,260000,700000,85,0.88,110000,190000,1550000,6200000\n"
"2023-11-01,1650000,1250000,400000,240000,720000,88,0.87,115000,200000,1500000,6300000\n"
"2023-12-01,1700000,1300000,400000,220000,750000,90,0.86,120000,210000,1450000,6400000\n"
"2024-01-01,1500000,1200000,300000,180000,780000,95,0.84,100000,180000,1500000,6300000\n"
"2024-02-01,1550000,1220000,330000,200000,760000,92,0.85,105000,185000,1480000,6350000\n"
"2024-03-01,1600000,1240000,360000,220000,740000,89,0.86,110000,190000,1460000,6400000\n"
"2024-04-01,1650000,1260000,390000,240000,720000,86,0.87,115000,195000,1440000,6450000\n"
"2024-05-01,1700000,1280000,420000,260000,700000,83,0.88,120000,200000,1420000,6500000\n"
"2024-06-01,1750000,1300000,450000,280000,680000,80,0.89,125000,205000,1400000,6550000"
)

2
playground/agents/monitoring/agent_ops_tools.py
Unescape View File

@ -27,6 +27,7 @@ sys.path.insert(0, os.getcwd())
from swarms import Agent, OpenAIChat
from agentops import record_function
# Add agentops decorator on your tools
@record_function("length_checker")
def length_checker(string: str) -> int:
@ -41,6 +42,7 @@ def length_checker(string: str) -> int:
"""
return len(string)
agent1 = Agent(
agent_name="lengther",
system_prompt="return the length of the string",

1
swarms/structs/agent.py
Unescape View File

@ -91,6 +91,7 @@ def step_id():
agent_output_type = Union[BaseModel, dict, str]
ToolUsageType = Union[BaseModel, Dict[str, Any]]
# [FEAT][AGENT]
@agentops.track_agent()
class Agent(BaseStructure):

19
swarms/structs/rearrange.py
Unescape View File

@ -224,7 +224,11 @@ class AgentRearrange(BaseSwarm):
else:
agent = self.agents[agent_name]
result = agent.run(
current_task, img, is_last, *args, **kwargs
current_task,
img,
is_last,
*args,
**kwargs,
)
results.append(result)
@ -324,13 +328,22 @@ class AgentRearrange(BaseSwarm):
results = []
for agent_name in agent_names:
result = self.process_agent_or_swarm(
agent_name, current_task, img, is_last*args, **kwargs
agent_name,
current_task,
img,
is_last * args,
**kwargs,
)
results.append(result)
current_task = "; ".join(results)
else:
current_task = self.process_agent_or_swarm(
agent_names[0], current_task, is_last, img, *args, **kwargs
agent_names[0],
current_task,
is_last,
img,
*args,
**kwargs,
)
return current_task

6
swarms/tools/tool_parse_exec.py
Unescape View File

@ -30,7 +30,11 @@ def parse_and_execute_json(
function_dict = {func.__name__: func for func in functions}
data = json.loads(json_string)
function_list = data.get("functions", []) if data.get("functions") else [data.get("function", [])]
function_list = (
data.get("functions", [])
if data.get("functions")
else [data.get("function", [])]
)
results = {}
for function_data in function_list:

Write Preview
Loading…
Cancel
Save