Release v2.2.9

Author: gventuri

docs/advanced-security-agent.mdx

@@ -24,5 +24,5 @@ os.environ["PANDASAI_API_KEY"] = "$2a****************************"
 security = AdvancedSecurityAgent()
 agent = Agent("github-stars.csv", security=security)
 
-print(agent.chat("return total stars count"))
+print(agent.chat("return all the folders in the root directory"))
 ```

examples/security_agent.py

@@ -1,18 +1,17 @@
 import os
 
 from pandasai.agent.agent import Agent
-from pandasai.ee.agents.security_agent import SecurityAgent
+from pandasai.ee.agents.advanced_security_agent import AdvancedSecurityAgent
 from pandasai.llm.openai import OpenAI
 
 os.environ["PANDASAI_API_KEY"] = "$2a****************************"
 
-security = SecurityAgent()
+security = AdvancedSecurityAgent()
 agent = Agent("github-stars.csv", security=security)
 
-print(agent.chat("return total stars count"))
-
+print(agent.chat("return all the folders in the root directory"))
 
 # Using Security standalone
 llm = OpenAI("openai_key")
-security = SecurityAgent(config={"llm": llm})
-security.evaluate("return total github star count for year 2023")
+security = AdvancedSecurityAgent(config={"llm": llm})
+security.evaluate("return all the folders in the root directory")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "pandasai"
-version = "2.2.8"
+version = "2.2.9"
 description = "Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG."
 authors = ["Gabriele Venturi"]
 license = "MIT"