[CLEANUP]

README.md

@@ -1,62 +1,13 @@
 [![Multi-Modality](agorabanner.png)](https://discord.gg/qUtxnK2NMf)
 
-# Python Package Template
-A easy, reliable, fluid template for python packages complete with docs, testing suites, readme's, github workflows, linting and much much more
+# Neo Sapiens
 
 
-## Installation
+## install
+`$ pip install -U swarms`
 
-You can install the package using pip
 
-```bash
-pip install -e .
-```
-
-# Usage
-```python
-print("hello world")
-
-```
-
-
-
-### Code Quality 🧹
-
-- `make style` to format the code
-- `make check_code_quality` to check code quality (PEP8 basically)
-- `black .`
-- `ruff . --fix`
-
-### Tests 🧪
-
-[`pytests`](https://docs.pytest.org/en/7.1.x/) is used to run our tests.
-
-### Publish on PyPi 🚀
-
-**Important**: Before publishing, edit `__version__` in [src/__init__](/src/__init__.py) to match the wanted new version.
-
-```
-poetry build
-poetry publish
-```
-
-### CI/CD 🤖
-
-We use [GitHub actions](https://github.com/features/actions) to automatically run tests and check code quality when a new PR is done on `main`.
-
-On any pull request, we will check the code quality and tests.
-
-When a new release is created, we will try to push the new code to PyPi. We use [`twine`](https://twine.readthedocs.io/en/stable/) to make our life easier. 
-
-The **correct steps** to create a new realease are the following:
-- edit `__version__` in [src/__init__](/src/__init__.py) to match the wanted new version.
-- create a new [`tag`](https://git-scm.com/docs/git-tag) with the release name, e.g. `git tag v0.0.1 && git push origin v0.0.1` or from the GitHub UI.
-- create a new release from GitHub UI
-
-The CI will run when you create the new release.
-
-# Docs
-We use MK docs. This repo comes with the zeta docs. All the docs configurations are already here along with the readthedocs configs.
+## usage
 
 
 

Room Management Agent_state.json

@@ -1,10 +1,10 @@
 {
-    "agent_id": "<function agent_id at 0x12f3a68e0>",
+    "agent_id": "<function agent_id at 0x12d77a8e0>",
     "agent_name": "Room Management Agent",
     "agent_description": null,
     "system_prompt": "Automate room assignments, minibar restocking, and housekeeping schedules",
     "sop": null,
-    "short_memory": "system: Automate room assignments, minibar restocking, and housekeeping schedules\n\n\nHuman:: What is your name\n\n\nRoom Management Agent: content='I am a system designed to automate room assignments, minibar restocking, and housekeeping schedules.' response_metadata={'token_usage': {'completion_tokens': 20, 'prompt_tokens': 31, 'total_tokens': 51}, 'model_name': 'gpt-3.5-turbo', 'system_fingerprint': 'fp_b28b39ffa8', 'finish_reason': 'stop', 'logprobs': None}\n\n\nHuman:: \u001b[31mcheck in Kye Gomez to room 120\u001b[0m\n\n",
+    "short_memory": "system: Automate room assignments, minibar restocking, and housekeeping schedules\n\n\nHuman:: What is your name\n\n\nRoom Management Agent: content='I am a system designed to automate room assignments, minibar restocking, and housekeeping schedules.' response_metadata={'token_usage': {'completion_tokens': 20, 'prompt_tokens': 31, 'total_tokens': 51}, 'model_name': 'gpt-3.5-turbo', 'system_fingerprint': 'fp_b28b39ffa8', 'finish_reason': 'stop', 'logprobs': None}\n\n\nHuman:: \u001b[31m/usr/local/bin/python3 /Users/defalt/Desktop/Athena/research/NeoSapiens/neo_sapiens/hass_schema.py\u001b[0m\n\n",
     "loop_interval": 0,
     "retry_attempts": 3,
     "retry_interval": 1,

neo_sapiens/few_shot_prompts.py

@@ -1,4 +1,3 @@
-
 # Example usage
 data = """
 {
@@ -124,4 +123,4 @@
         }
     ]
 }
-"""
+"""

neo_sapiens/hass_schema.py

@@ -3,7 +3,6 @@
 from pydantic import BaseModel, Field
 from swarms import Agent, OpenAIChat
 from swarms.utils.json_utils import base_model_to_json
-
 from neo_sapiens.hass_schema import (
     data,
     data1,
@@ -12,6 +11,11 @@
     data5,
 )
 from neo_sapiens.main import browser, terminal
+from swarms import SwarmNetwork
+
+
+# Swarmnetowr
+network = SwarmNetwork(api_enabled=True, logging_enabled=True)
 
 
 def tool_router(tool: str, *args, **kwargs):
@@ -70,11 +74,11 @@ class HassSchema(BaseModel):
         description="List of agents to use for the problem",
     )
     # Rules for the agents
-    rules: str = Field(
-        ...,
-        title="Rules for the agents",
-        description="Rules for the agents",
-    )
+    # rules: str = Field(
+    #     ...,
+    #     title="Rules for the agents",
+    #     description="Rules for the agents",
+    # )
 
 
 def transform_schema_to_json(schema: BaseModel):
@@ -100,11 +104,10 @@ def parse_hass_schema(data: str) -> tuple:
         hass_schema.plan,
         hass_schema.number_of_agents,
         hass_schema.agents,
+        # hass_schema.rules,
     )
 
 
-
-
 def merge_plans_into_str(
     plan: List[str] = [data, data1, data2, data3]
 ) -> str:
@@ -124,6 +127,19 @@ def merge_plans_into_str(
 plan, number_of_agents, agents = parsed_schema
 
 
+def merge_rules_into_str(prompts: List[str]):
+    """
+    Merge a list of prompts into a single string.
+
+    Args:
+        prompts (List[str]): A list of prompts to be merged.
+
+    Returns:
+        str: The merged prompts as a single string.
+    """
+    return "\n".join(prompts)
+
+
 def create_agents(
     agents: List[AgentSchema],
 ):
@@ -149,7 +165,7 @@ def create_agents(
             agent_name=name,
             system_prompt=system_prompt,
             llm=OpenAIChat(
-                openai_api_key=None,
+                openai_api_key="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",
             ),
             max_loops="auto",
             autosave=True,
@@ -159,10 +175,21 @@ def create_agents(
             interactive=True,
         )
 
-        out("What is your name")
+        network.add_agent(out)
 
     return out
 
 
 out = create_agents(agents)
-print(out)
+# print(out)
+
+# Use network
+list_agents = network.list_agents()
+print(list_agents)
+
+# # Run the workflow on a task
+# run = network.run_single_agent(
+#     agent2.id, "What's your name?"
+# )
+# print(out)
+

pyproject.toml

@@ -3,15 +3,15 @@ requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
-name = "paper"
+name = "neo-sapiens"
 version = "0.0.1"
-description = "Paper - Pytorch"
+description = "Neo Sapiens - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <[email protected]>"]
-homepage = "https://github.com/kyegomez/paper"
-documentation = "https://github.com/kyegomez/paper"  # Add this if you have documentation.
+homepage = "https://github.com/kyegomez/NeoSapiens"
+documentation = "https://github.com/kyegomez/NeoSapiens"  # Add this if you have documentation.
 readme = "README.md"  # Assuming you have a README.md
-repository = "https://github.com/kyegomez/paper"
+repository = "https://github.com/kyegomez/NeoSapiens"
 keywords = ["artificial intelligence", "deep learning", "optimizers", "Prompt Engineering"]
 classifiers = [
     "Development Status :: 4 - Beta",
@@ -22,12 +22,9 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = "^3.6"
+python = "^3.9"
 swarms = "*"
-zetascale = "*"
-
-[tool.poetry.dev-dependencies]
-# Add development dependencies here
+pydantic = "*"
 
 
 [tool.poetry.group.lint.dependencies]