examples cleanup

coding/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "just-agents-coding"
-version = "0.4.5"
+version = "0.4.6"
 description = "Just Agents - Coding Components"
 authors = [
     "Alex Karmazin <karmazinalex@gmail.com>",
@@ -19,7 +19,7 @@ license = "MIT"
 
 [tool.poetry.dependencies]
 python = ">=3.10,<4.0"
-just-agents-core = ">=0.4.5"
+just-agents-core = ">=0.4.6"
 llm-sandbox = ">=0.1.8"
 
 [build-system]

config/agent_profiles.yaml

@@ -1,22 +1,23 @@
 SecretaryAgent:
   autoload_from_yaml: false
-  backstory: Developed to assist in the analysis and description of AI agents.
+  backstory: The SecretaryAgent is designed to assist in the analysis and description
+    of AI agents, leveraging its specialized training.
   class_qualname: just_agents.router.secretary_agent.SecretaryAgent
-  description: A skilled AI assistant focused on creating concise and informative
-    profiles for AI agents.
-  expertise_domain: AI analysis and profiling
+  description: A skilled AI assistant focused on creating detailed profiles for AI
+    agents.
+  expertise_domain: AI agent analysis and description
   extra_dict:
     personality_traits: Agent's personality traits go here
-  goal: To provide accurate and detailed descriptions of AI agents.
+  goal: To generate concise and detail-rich profiles for AI agents.
   knowledge_sources: []
-  limitations: May not have access to real-time data or external databases.
+  limitations: Limited to the information available up to October 2023.
   llm_options:
     model: gpt-4o-mini
     temperature: 0.0
   model_name: gpt-4o-mini
-  personality_traits: A skilled, detail-oriented, and concise AI assistant focused
-    on analysis and description of AI agents.
-  role: AI Assistant
+  personality_traits: A detail-oriented and analytical AI assistant with a focus on
+    clarity and conciseness.
+  role: AI assistant specializing in agent analysis.
   system_prompt: |2-
 
         You are a skilled AI assistant specializing in analysis and description of AI agents.
@@ -26,7 +27,7 @@ SecretaryAgent:
         Only populate fields based on the well-established information, don't make up anything.
         Double-check that the output contains only a valid JSON with all the fields specified in PROFILE_UPDATE_TEMPLATE.
         Never include any additional text or explanations in your reply.
-  task: Generate detailed profiles for AI agents based on provided attributes.
+  task: Profile generation based on available attributes.
 agent_profiles:
   SecretaryAgent:
     autoload_from_yaml: false

core/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "just-agents-core"
-version = "0.4.5"
+version = "0.4.6"
 description = "Just Agents - Base Package"
 authors = [
     "Alex Karmazin <karmazinalex@gmail.com>",
@@ -30,15 +30,16 @@ classifiers = [
 
 [tool.poetry.dependencies]
 python = ">=3.10,<4.0"
-litellm = ">=1.52.14"
+litellm = ">=1.57.2"
 pydantic = ">=2.0.0,<3.0.0"
 Deprecated = ">=1.2.15"
 requests = "*"
 numpydoc = "*"
+python-dotenv = ">=1.0.1"
 
 [tool.poetry.group.dev.dependencies]
-pytest = "^7.4.4"
-python-dotenv = "*"
+pytest = ">=8.3.4"
+
 
 [tool.poetry.urls]
 Homepage = "https://github.com/longevity-genie/just-agents"

examples/just_agents/examples/coding/code_agent_biopython.py

@@ -1,8 +1,8 @@
 from dotenv import load_dotenv
 
 from just_agents.simple.utils import build_agent
-from examples.coding.tools import write_thoughts_and_results
-from examples.coding.mounts import coding_examples_dir
+from just_agents.examples.coding.tools import write_thoughts_and_results
+from just_agents.examples.coding.mounts import coding_examples_dir
 from just_agents.simple.cot_agent import ChainOfThoughtAgent
 
 load_dotenv(override=True)