Upgraded agents with PraisonAI. the --agents flag will now CREATE an AI agent for you and then perform a task. Enjoy

README.md

@@ -209,8 +209,9 @@ Once you have it all set up, here's how to use it.
    `fabric -h`
 
 ```bash
-usage: fabric [-h] [--text TEXT] [--copy] [--agents {trip_planner,ApiKeys}] [--output [OUTPUT]] [--gui] [--stream] [--list] [--update] [--pattern PATTERN] [--setup] [--changeDefaultModel CHANGEDEFAULTMODEL]
+usage: fabric [-h] [--text TEXT] [--copy] [--agents] [--output [OUTPUT]] [--gui] [--stream] [--list] [--temp TEMP] [--top_p TOP_P] [--frequency_penalty FREQUENCY_PENALTY]
-              [--model MODEL] [--listmodels] [--remoteOllamaServer REMOTEOLLAMASERVER] [--context]
+              [--presence_penalty PRESENCE_PENALTY] [--update] [--pattern PATTERN] [--setup] [--changeDefaultModel CHANGEDEFAULTMODEL] [--model MODEL] [--listmodels]
+              [--remoteOllamaServer REMOTEOLLAMASERVER] [--context]
 
 An open source framework for augmenting humans using AI.
 
@@ -218,13 +219,18 @@ options:
   -h, --help            show this help message and exit
   --text TEXT, -t TEXT  Text to extract summary from
   --copy, -C            Copy the response to the clipboard
-  --agents {trip_planner,ApiKeys}, -a {trip_planner,ApiKeys}
+  --agents, -a          Use praisonAI to create an AI agent and then use it. ex: 'write me a movie script'
-                        Use an AI agent to help you with a task. Acceptable values are 'trip_planner' or 'ApiKeys'. This option cannot be used with any other flag.
   --output [OUTPUT], -o [OUTPUT]
                         Save the response to a file
   --gui                 Use the GUI (Node and npm need to be installed)
   --stream, -s          Use this option if you want to see the results in realtime. NOTE: You will not be able to pipe the output into another command.
   --list, -l            List available patterns
+  --temp TEMP           set the temperature for the model. Default is 0
+  --top_p TOP_P         set the top_p for the model. Default is 1
+  --frequency_penalty FREQUENCY_PENALTY
+                        set the frequency penalty for the model. Default is 0.1
+  --presence_penalty PRESENCE_PENALTY
+                        set the presence penalty for the model. Default is 0.1
   --update, -u          Update patterns. NOTE: This will revert the default model to gpt4-turbo. please run --changeDefaultModel to once again set default model
   --pattern PATTERN, -p PATTERN
                         The pattern (prompt) to use
@@ -463,7 +469,7 @@ The content features a conversation between two individuals discussing various t
 
 You can also use Custom Patterns with Fabric, meaning Patterns you keep locally and don't upload to Fabric.
 
-One possible place to store them is `~/.config/custom-fabric-patterns`.
+One possible place to store PraisonAI with fabric. For more information about this amazing project please visit https://github.com/MervinPraison/PraisonAIthem is `~/.config/custom-fabric-patterns`.
 
 Then when you want to use them, simply copy them into `~/.config/fabric/patterns`.
 
@@ -477,6 +483,16 @@ Now you can run them with:
 pbpaste | fabric -p your_custom_pattern
 ```
 
+## Agents
+
+NEW FEATURE! We have incorporated PraisonAI with fabric. For more information about this amazing project please visit https://github.com/MervinPraison/PraisonAI. This feature CREATES AI agents and then uses them to perform a task
+
+```bash
+echo "Search for recent articles about the future of AI and write me a 500 word essay on the findings" | fabric --agents
+```
+
+This feature works with all openai and ollama models but does NOT work with claude. You can specify your model with the -m flag
+
 ## Helper Apps
 
 These are helper tools to work with Fabric. Examples include things like getting transcripts from media files, getting metadata about media, etc.

installer/client/cli/fabric.py

@@ -16,8 +16,8 @@ def main():
         "--copy", "-C", help="Copy the response to the clipboard", action="store_true"
     )
     parser.add_argument(
-        '--agents', '-a', choices=['trip_planner', 'ApiKeys'],
+        '--agents', '-a',
-        help="Use an AI agent to help you with a task. Acceptable values are 'trip_planner' or 'ApiKeys'. This option cannot be used with any other flag."
+        help="Use praisonAI to create an AI agent and then use it. ex: 'write me a movie script'", action="store_true"
     )
 
     parser.add_argument(
@@ -89,17 +89,6 @@ def main():
     if args.changeDefaultModel:
         Setup().default_model(args.changeDefaultModel)
         sys.exit()
-    if args.agents:
-        # Handle the agents logic
-        if args.agents == 'trip_planner':
-            from .agents.trip_planner.main import planner_cli
-            tripcrew = planner_cli()
-            tripcrew.ask()
-            sys.exit()
-        elif args.agents == 'ApiKeys':
-            from .utils import AgentSetup
-            AgentSetup().run()
-            sys.exit()
     if args.gui:
         run_electron_app()
         sys.exit()
@@ -111,6 +100,18 @@ def main():
         if not os.path.exists(os.path.join(config, "context.md")):
             print("Please create a context.md file in ~/.config/fabric")
             sys.exit()
+    if args.agents:
+        standalone = Standalone(args)
+        text = ""  # Initialize text variable
+        # Check if an argument was provided to --agents
+        if args.text:
+            text = args.text
+        else:
+            text = standalone.get_cli_input()
+        if text:
+            standalone = Standalone(args)
+            standalone.agents(text)
+            sys.exit()
     standalone = Standalone(args, args.pattern)
     if args.list:
         try:

installer/client/cli/utils.py

@@ -55,6 +55,9 @@ class Standalone:
                 self.model = 'gpt-4-turbo-preview'
         self.claude = False
         sorted_gpt_models, ollamaList, claudeList = self.fetch_available_models()
+        self.sorted_gpt_models = sorted_gpt_models
+        self.ollamaList = ollamaList
+        self.claudeList = claudeList
         self.local = self.model in ollamaList
         self.claude = self.model in claudeList
 
@@ -333,6 +336,23 @@ class Standalone:
         else:
             return sys.stdin.read()
 
+    def agents(self, userInput):
+        from praisonai import PraisonAI
+        model = self.model
+        os.environ["OPENAI_MODEL_NAME"] = model
+        if model in self.sorted_gpt_models:
+            os.environ["OPENAI_API_BASE"] = "https://api.openai.com/v1/"
+        elif model in self.ollamaList:
+            os.environ["OPENAI_API_BASE"] = "http://localhost:11434/v1"
+            os.environ["OPENAI_API_KEY"] = "NA"
+
+        elif model in self.claudeList:
+            print("Claude is not supported in this mode")
+            sys.exit()
+        print("Starting PraisonAI...")
+        praison_ai = PraisonAI(auto=userInput, framework="autogen")
+        praison_ai.main()
+
 
 class Update:
     def __init__(self):

pyproject.toml

@@ -12,12 +12,12 @@ packages = [
 ]
 
 [tool.poetry.dependencies]
-python = "^3.10"
+python = ">=3.10,<3.13"
-crewai = "^0.11.0"
+crewai = "^0.22.5"
 unstructured = "0.10.25"
 pyowm = "3.3.0"
 tools = "^0.1.9"
-langchain-community = "^0.0.24"
+langchain-community = "^0.0.25"
 google-api-python-client = "^2.120.0"
 isodate = "^0.6.1"
 youtube-transcript-api = "^0.6.2"
@@ -25,10 +25,11 @@ pydub = "^0.25.1"
 ollama = "^0.1.7"
 anthropic = "^0.18.1"
 pyperclip = "^1.8.2"
-python-dotenv = "^1.0.1"
+python-dotenv = "1.0.0"
 jwt = "^1.3.1"
 flask = "^3.0.2"
 helpers = "^0.2.0"
+praisonai = "^0.0.18"
 
 [tool.poetry.group.cli.dependencies]
 pyyaml = "^6.0.1"
@@ -39,7 +40,7 @@ flask = "^3.0.2"
 flask-sqlalchemy = "^3.1.1"
 flask-login = "^0.6.3"
 flask-jwt-extended = "^4.6.0"
-python-dotenv = "^1.0.1"
+python-dotenv = "1.0.0"
 openai = "^1.11.0"
 flask-socketio = "^5.3.6"
 flask-sock = "^0.7.0"
@@ -52,7 +53,7 @@ tqdm = "^4.66.1"
 requests = "^2.31.0"
 openai = "^1.12.0"
 flask = "^3.0.2"
-python-dotenv = "^1.0.1"
+python-dotenv = "1.0.0"
 jwt = "^1.3.1"
 
 

test.yaml

@@ -0,0 +1,44 @@
+framework: crewai
+topic: 'write me a 20 word essay on apples
+
+  '
+roles:
+  researcher:
+    backstory: Has an extensive background in conducting research using digital tools
+      to extract relevant information.
+    goal: Gather comprehensive information about apples
+    role: Researcher
+    tasks:
+      collect_information_on_apples:
+        description: Use digital tools to find credible sources of information on
+          apples covering history, types, and benefits.
+        expected_output: Collected data on apples, including historical background,
+          varieties, and health benefits.
+    tools:
+    - ''
+  analyst:
+    backstory: Expert in analyzing large volumes of data to identify the most relevant
+      and interesting facts.
+    goal: Analyze gathered information to distill key points
+    role: Analyst
+    tasks:
+      synthesize_information:
+        description: Review the collected data and extract the most pertinent facts
+          about apples, focusing on uniqueness and impact.
+        expected_output: A summary highlighting key facts about apples, such as nutritional
+          benefits, global popularity, and cultural significance.
+    tools:
+    - ''
+  writer:
+    backstory: Specializes in creating short, impactful pieces of writing that capture
+      the essence of the subject matter.
+    goal: Craft a concise and engaging essay on apples
+    role: Writer
+    tasks:
+      write_essay:
+        description: Based on the analyzed data, write a compelling 20-word essay
+          on apples that encapsulates their essence and significance.
+        expected_output: An engaging 20-word essay on apples.
+    tools:
+    - ''
+dependencies: []