feat: Add crewai install to the docs and force now crewai run

.github/workflows/mkdocs.yml

@@ -1,8 +1,10 @@
 name: Deploy MkDocs
 
 on:
-  release:
-    types: [published]
+  workflow_dispatch:
+  push:
+    branches:
+      - main
 
 permissions:
   contents: write

.github/workflows/stale.yml

@@ -24,4 +24,3 @@ jobs:
         stale-pr-message: 'This PR is stale because it has been open for 45 days with no activity.'
         days-before-pr-stale: 45
         days-before-pr-close: -1
-        operations-per-run: 500

docs/core-concepts/Cli.md

@@ -1,142 +0,0 @@
-# CrewAI CLI Documentation
-
-The CrewAI CLI provides a set of commands to interact with CrewAI, allowing you to create, train, run, and manage crews and pipelines.
-
-## Installation
-
-To use the CrewAI CLI, make sure you have CrewAI & Poetry installed:
-
-```
-pip install crewai poetry
-```
-
-## Basic Usage
-
-The basic structure of a CrewAI CLI command is:
-
-```
-crewai [COMMAND] [OPTIONS] [ARGUMENTS]
-```
-
-## Available Commands
-
-### 1. create
-
-Create a new crew or pipeline.
-
-```
-crewai create [OPTIONS] TYPE NAME
-```
-
-- `TYPE`: Choose between "crew" or "pipeline"
-- `NAME`: Name of the crew or pipeline
-- `--router`: (Optional) Create a pipeline with router functionality
-
-Example:
-```
-crewai create crew my_new_crew
-crewai create pipeline my_new_pipeline --router
-```
-
-### 2. version
-
-Show the installed version of CrewAI.
-
-```
-crewai version [OPTIONS]
-```
-
-- `--tools`: (Optional) Show the installed version of CrewAI tools
-
-Example:
-```
-crewai version
-crewai version --tools
-```
-
-### 3. train
-
-Train the crew for a specified number of iterations.
-
-```
-crewai train [OPTIONS]
-```
-
-- `-n, --n_iterations INTEGER`: Number of iterations to train the crew (default: 5)
-- `-f, --filename TEXT`: Path to a custom file for training (default: "trained_agents_data.pkl")
-
-Example:
-```
-crewai train -n 10 -f my_training_data.pkl
-```
-
-### 4. replay
-
-Replay the crew execution from a specific task.
-
-```
-crewai replay [OPTIONS]
-```
-
-- `-t, --task_id TEXT`: Replay the crew from this task ID, including all subsequent tasks
-
-Example:
-```
-crewai replay -t task_123456
-```
-
-### 5. log_tasks_outputs
-
-Retrieve your latest crew.kickoff() task outputs.
-
-```
-crewai log_tasks_outputs
-```
-
-### 6. reset_memories
-
-Reset the crew memories (long, short, entity, latest_crew_kickoff_outputs).
-
-```
-crewai reset_memories [OPTIONS]
-```
-
-- `-l, --long`: Reset LONG TERM memory
-- `-s, --short`: Reset SHORT TERM memory
-- `-e, --entities`: Reset ENTITIES memory
-- `-k, --kickoff-outputs`: Reset LATEST KICKOFF TASK OUTPUTS
-- `-a, --all`: Reset ALL memories
-
-Example:
-```
-crewai reset_memories --long --short
-crewai reset_memories --all
-```
-
-### 7. test
-
-Test the crew and evaluate the results.
-
-```
-crewai test [OPTIONS]
-```
-
-- `-n, --n_iterations INTEGER`: Number of iterations to test the crew (default: 3)
-- `-m, --model TEXT`: LLM Model to run the tests on the Crew (default: "gpt-4o-mini")
-
-Example:
-```
-crewai test -n 5 -m gpt-3.5-turbo
-```
-
-### 8. run
-
-Run the crew.
-
-```
-crewai run
-```
-
-## Note
-
-Make sure to run these commands from the directory where your CrewAI project is set up. Some commands may require additional configuration or setup within your project structure.