Setting gpt-4o-mini as the default model

Dockerfile

@@ -1,6 +1,6 @@
 FROM python:3.11-slim
 WORKDIR /app
 COPY . .
-RUN pip install flask praisonai==0.0.55 gunicorn markdown
+RUN pip install flask praisonai==0.0.56 gunicorn markdown
 EXPOSE 8080
 CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]

docs/api/praisonai/deploy.html

@@ -110,7 +110,7 @@ Loads environment variables from .env file or system and sets them.</p>
             file.write(&#34;FROM python:3.11-slim\n&#34;)
             file.write(&#34;WORKDIR /app\n&#34;)
             file.write(&#34;COPY . .\n&#34;)
-            file.write(&#34;RUN pip install flask praisonai==0.0.55 gunicorn markdown\n&#34;)
+            file.write(&#34;RUN pip install flask praisonai==0.0.56 gunicorn markdown\n&#34;)
             file.write(&#34;EXPOSE 8080\n&#34;)
             file.write(&#39;CMD [&#34;gunicorn&#34;, &#34;-b&#34;, &#34;0.0.0.0:8080&#34;, &#34;api:app&#34;]\n&#39;)
             

docs/ui/chat.md

@@ -25,4 +25,4 @@ export OPENAI_API_KEY=xxxxxxxx
 praisonai chat
 ```
 
-4. Set Model name to be gpt-3.5-turbo in the settings 
+4. Set Model name to be gpt-4o-mini in the settings 

docs/ui/code.md

@@ -27,12 +27,12 @@ praisonai code
 
 4. Username and Password will be asked for the first time. `admin` is the default username and password.
 
-5. Set Model name to be gpt-3.5-turbo in the settings 
+5. Set Model name to be gpt-4o-mini in the settings 
 
 
 ## Other Models
 
-* Use 100+ LLMs
+* Use 100+ LLMs - [Litellm](https://litellm.vercel.app/docs/providers)
 * Includes Gemini 1.5 for 2 Million Context Length
 
 ## To Use Gemini 1.5
@@ -43,9 +43,28 @@ praisonai code
 
 ## Ignore Files
 
-### Using settings.yaml
+### Using .praisonignore
 
-* Create a settings.yaml file in the root folder of the project
+* Create a `.praisonignore` file in the root folder of the project
+* Add files to ignore
+
+```bash
+.*
+*.pyc
+pycache
+.git
+.gitignore
+.vscode
+.idea
+.DS_Store
+.lock
+.pyc
+.env
+```
+
+### Using settings.yaml (.praisonignore is preferred)
+
+* Create a `settings.yaml` file in the root folder of the project
 * Add below Variables and required Ignore Files
 
 ```yaml
@@ -66,25 +85,39 @@ code:
 
 ### Using .env File
 
-* Create a .env file in the root folder of the project
+* Create a `.env` file in the root folder of the project
 * Add below Variables and required Ignore Files
 
 ```bash
-PRAISONAI_IGNORE_FILES=".*,*.pyc,__pycache__,.git,.gitignore,.vscode,.idea,.DS_Store,*.lock,.env,docs,tests,test,tmp,temp,*.txt,*.md,*.json,*.csv,*.tsv,public,*.sql,*.sqlite,*.db,*.db3,*.sqlite3,*.log,*.zip,*.gz,*.tar,*.rar,*.7z,*.pdf,*.jpg,*.jpeg,*.png,*.gif,*.svg,cookbooks,assets,dist,build,node_modules,venv,crewAI,.cache,*.__pycache__,*chroma.sqlite3,test/,dist/,praisonAI.egg-info,test.yaml,db,praisonai_prompt.txt,watch.sh,docs.sh,other,output,*.chainlit,.files,site,flagged,*public,threads.db,trained_agents_data.pkl,.pytest_cache"
+PRAISONAI_IGNORE_FILES=".*,*.pyc,__pycache__,.git,.gitignore,.vscode"
 ```
 
 ### Using Environment Variables in the Terminal
 
 ```bash
-export PRAISONAI_IGNORE_FILES=".*,*.pyc,__pycache__,.git,.gitignore,.vscode,.idea,.DS_Store,*.lock,.env,docs,tests,test,tmp,temp,*.txt,*.md,*.json,*.csv,*.tsv,public,*.sql,*.sqlite,*.db,*.db3,*.sqlite3,*.log,*.zip,*.gz,*.tar,*.rar,*.7z,*.pdf,*.jpg,*.jpeg,*.png,*.gif,*.svg,cookbooks,assets,dist,build,node_modules,venv,crewAI,.cache,*.__pycache__,*chroma.sqlite3,test/,dist/,praisonAI.egg-info,test.yaml,db,praisonai_prompt.txt,watch.sh,docs.sh,other,output,*.chainlit,.files,site,flagged,*public,threads.db,trained_agents_data.pkl,.pytest_cache"
+export PRAISONAI_IGNORE_FILES=".*,*.pyc,__pycache__,.git,.gitignore,.vscode"
+```
+
+## Include Files
+
+- Add files you wish to Include files in the context
+- This will automatically ignore all the ignore files option
+- This will include only the files/folders mentioned in `.praisoninclude` to the context
+
+* Create a `.praisoninclude` file in the root folder of the project
+* Add files to Include
+
+```bash
+projectfiles
+docs
 ```
 
 ## Set Max Tokens
 
-Note: By Default Max Tokens set is 128,000
+Note: By Default Max Tokens set is 900,000
 
 ```bash
-export PRAISONAI_MAX_TOKENS=200000
+export PRAISONAI_MAX_TOKENS=1000000
 ```
 
 or 
@@ -92,5 +125,5 @@ or
 * Create a .env file in the root folder of the project
 * Add below Variables and required Max Tokens
 * ```
-  PRAISONAI_MAX_TOKENS=200000
+  PRAISONAI_MAX_TOKENS=1000000
   ```

praisonai/deploy.py

@@ -56,7 +56,7 @@ class CloudDeployer:
             file.write("FROM python:3.11-slim\n")
             file.write("WORKDIR /app\n")
             file.write("COPY . .\n")
-            file.write("RUN pip install flask praisonai==0.0.55 gunicorn markdown\n")
+            file.write("RUN pip install flask praisonai==0.0.56 gunicorn markdown\n")
             file.write("EXPOSE 8080\n")
             file.write('CMD ["gunicorn", "-b", "0.0.0.0:8080", "api:app"]\n')
             

praisonai/test.py

@@ -7,7 +7,7 @@ load_dotenv()
 import autogen
 config_list = [
     {
-        'model': os.environ.get("OPENAI_MODEL_NAME", "gpt-3.5-turbo"),
+        'model': os.environ.get("OPENAI_MODEL_NAME", "gpt-4o-mini"),
         'base_url': os.environ.get("OPENAI_API_BASE", "https://api.openai.com/v1"),
         'api_key': os.environ.get("OPENAI_API_KEY")
     }

praisonai/ui/chat.py

@@ -179,7 +179,7 @@ async def start():
         cl.user_session.set("model_name", model_name)
     else:
         # If no setting found, use default or environment variable
-        model_name = os.getenv("MODEL_NAME", "gpt-3.5-turbo")
+        model_name = os.getenv("MODEL_NAME", "gpt-4o-mini")
         cl.user_session.set("model_name", model_name)
     logger.debug(f"Model name: {model_name}")
     settings = cl.ChatSettings(
@@ -187,7 +187,7 @@ async def start():
             TextInput(
                 id="model_name",
                 label="Enter the Model Name",
-                placeholder="e.g., gpt-3.5-turbo",
+                placeholder="e.g., gpt-4o-mini",
                 initial=model_name
             )
         ]
@@ -221,7 +221,7 @@ async def setup_agent(settings):
 
 @cl.on_message
 async def main(message: cl.Message):
-    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-3.5-turbo"
+    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-4o-mini"
     message_history = cl.user_session.get("message_history", [])
     message_history.append({"role": "user", "content": message.content})
 
@@ -268,14 +268,14 @@ async def send_count():
 @cl.on_chat_resume
 async def on_chat_resume(thread: cl_data.ThreadDict):
     logger.info(f"Resuming chat: {thread['id']}")
-    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-3.5-turbo"
+    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-4o-mini"
     logger.debug(f"Model name: {model_name}")
     settings = cl.ChatSettings(
         [
             TextInput(
                 id="model_name",
                 label="Enter the Model Name",
-                placeholder="e.g., gpt-3.5-turbo",
+                placeholder="e.g., gpt-4o-mini",
                 initial=model_name
             )
         ]

praisonai/ui/code.py

@@ -180,7 +180,7 @@ async def start():
         cl.user_session.set("model_name", model_name)
     else:
         # If no setting found, use default or environment variable
-        model_name = os.getenv("MODEL_NAME", "gpt-3.5-turbo")
+        model_name = os.getenv("MODEL_NAME", "gpt-4o-mini")
         cl.user_session.set("model_name", model_name)
     logger.debug(f"Model name: {model_name}")
     settings = cl.ChatSettings(
@@ -188,7 +188,7 @@ async def start():
             TextInput(
                 id="model_name",
                 label="Enter the Model Name",
-                placeholder="e.g., gpt-3.5-turbo",
+                placeholder="e.g., gpt-4o-mini",
                 initial=model_name
             )
         ]
@@ -228,7 +228,7 @@ async def setup_agent(settings):
 
 @cl.on_message
 async def main(message: cl.Message):
-    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-3.5-turbo"
+    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-4o-mini"
     message_history = cl.user_session.get("message_history", [])
     message_history.append({"role": "user", "content": message.content})
     gatherer = ContextGatherer()
@@ -282,14 +282,14 @@ async def send_count():
 @cl.on_chat_resume
 async def on_chat_resume(thread: cl_data.ThreadDict):
     logger.info(f"Resuming chat: {thread['id']}")
-    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-3.5-turbo"
+    model_name = load_setting("model_name") or os.getenv("MODEL_NAME") or "gpt-4o-mini"
     logger.debug(f"Model name: {model_name}")
     settings = cl.ChatSettings(
         [
             TextInput(
                 id="model_name",
                 label="Enter the Model Name",
-                placeholder="e.g., gpt-3.5-turbo",
+                placeholder="e.g., gpt-4o-mini",
                 initial=model_name
             )
         ]

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "PraisonAI"
-version = "0.0.55"
+version = "0.0.56"
 description = "PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customization, and efficient human-agent collaboration."
 authors = ["Mervin Praison"]
 license = ""

tests/source/autogen_function_tools.py

@@ -21,7 +21,7 @@ assistant = ConversableAgent(
     system_message="You are a helpful AI assistant. "
     "You can help with simple calculations. "
     "Return 'TERMINATE' when the task is done.",
-    llm_config={"config_list": [{"model": "gpt-3.5-turbo", "api_key": os.environ["OPENAI_API_KEY"]}]},
+    llm_config={"config_list": [{"model": "gpt-4o-mini", "api_key": os.environ["OPENAI_API_KEY"]}]},
 )
 
 user_proxy = ConversableAgent(

tests/source/autogen_langchain_tools.py

@@ -63,7 +63,7 @@ llm_config = {
         generate_llm_config(custom_tool),
         generate_llm_config(read_file_tool),
     ],
-    "config_list": [{"model": "gpt-3.5-turbo", "api_key": os.environ["OPENAI_API_KEY"]}],
+    "config_list": [{"model": "gpt-4o-mini", "api_key": os.environ["OPENAI_API_KEY"]}],
     "timeout": 120,
 }