remove docker and cicd setup from the cli examples

2 days ago · b7712201b5
parent fd6b688b64
commit b7712201b5
4 changed files with 0 additions and 377 deletions
--- a/docs/examples/cli_multi_agent_quickstart.md
+++ b/docs/examples/cli_multi_agent_quickstart.md
@ -145,90 +145,6 @@ swarms heavy-swarm --task "Summarize recent advances in battery technology"
 ---
 ## Integration Examples
 ### Bash Script Integration
 ```bash
 #!/bin/bash
 # research_script.sh
 TOPICS=(
    "AI in manufacturing"
    "Autonomous vehicles market"
    "Edge computing trends"
 )
 for topic in "${TOPICS[@]}"; do
    echo "Researching: $topic"
    swarms heavy-swarm --task "Analyze $topic" --verbose >> research_output.txt
    echo "---" >> research_output.txt
 done
 ```
 ### CI/CD Pipeline (GitHub Actions)
 ```yaml
 name: AI Research Pipeline
 on:
  schedule:
    - cron: '0 9 * * 1'  # Every Monday at 9 AM
 jobs:
  research:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'
      - name: Install dependencies
        run: pip install swarms
      - name: Run LLM Council
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: |
          swarms llm-council \
            --task "Weekly market analysis for tech sector" \
            --verbose > weekly_analysis.txt
      - name: Upload results
        uses: actions/upload-artifact@v3
        with:
          name: analysis-results
          path: weekly_analysis.txt
 ```
 ### Docker Integration
 ```dockerfile
 FROM python:3.10-slim
 RUN pip install swarms
 ENV OPENAI_API_KEY=""
 ENV WORKSPACE_DIR="/workspace"
 WORKDIR /workspace
 ENTRYPOINT ["swarms"]
 CMD ["--help"]
 ```
 ```bash
 # Build and run
 docker build -t swarms-cli .
 docker run -e OPENAI_API_KEY="your-key" swarms-cli \
    llm-council --task "Analyze market trends"
 ```
 ---
 ## Other Useful CLI Commands
 ### Setup Check
@ -269,34 +185,6 @@ swarms show-all
 ---
 ## Output Handling
 ### Capture Output to File
 ```bash
 swarms llm-council --task "Evaluate cloud providers" > analysis.txt 2>&1
 ```
 ### JSON Output Processing
 ```bash
 swarms llm-council --task "Compare databases" | python -c "
 import sys
 import json
 # Process output as needed
 for line in sys.stdin:
    print(line.strip())
 "
 ```
 ### Pipe to Other Tools
 ```bash
 swarms heavy-swarm --task "Research topic" | tee research.log | grep "RESULT"
 ```
 ---
 ## Troubleshooting
 ### Common Issues
--- a/docs/swarms/cli/cli_heavy_swarm_guide.md
+++ b/docs/swarms/cli/cli_heavy_swarm_guide.md
@ -175,99 +175,6 @@ swarms heavy-swarm \
 ---
 ## Scripting Examples
 ### Research Pipeline
 ```bash
 #!/bin/bash
 # research_pipeline.sh
 TOPICS=(
    "AI in manufacturing"
    "Blockchain in supply chain"
    "Edge computing in IoT"
 )
 for topic in "${TOPICS[@]}"; do
    echo "Researching: $topic"
    OUTPUT_FILE="research_$(echo $topic | tr ' ' '_').txt"
    swarms heavy-swarm \
        --task "Comprehensive analysis of $topic: market size, key players, trends, and opportunities" \
        --loops-per-agent 2 \
        --verbose > "$OUTPUT_FILE"
    echo "Saved to: $OUTPUT_FILE"
 done
 ```
 ### Daily Market Analysis
 ```bash
 #!/bin/bash
 # daily_market.sh
 DATE=$(date +%Y-%m-%d)
 OUTPUT_FILE="market_analysis_$DATE.txt"
 echo "Daily Market Analysis - $DATE" > $OUTPUT_FILE
 echo "==============================" >> $OUTPUT_FILE
 swarms heavy-swarm \
    --task "Analyze today's key market movements, notable news, and outlook for tomorrow. Focus on tech, healthcare, and energy sectors." \
    --loops-per-agent 2 \
    --question-agent-model-name gpt-4 \
    --worker-model-name gpt-4 \
    --verbose >> $OUTPUT_FILE
 echo "Analysis complete: $OUTPUT_FILE"
 ```
 ### CI/CD Integration
 ```yaml
 # .github/workflows/heavy-swarm-research.yml
 name: Weekly Heavy Swarm Research
 on:
  schedule:
    - cron: '0 6 * * 1'  # Every Monday at 6 AM
 jobs:
  research:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'
      - name: Install Swarms
        run: pip install swarms
      - name: Run Heavy Swarm Research
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: |
          swarms heavy-swarm \
            --task "Weekly technology trends and market analysis report" \
            --loops-per-agent 3 \
            --question-agent-model-name gpt-4 \
            --worker-model-name gpt-4 \
            --verbose > weekly_research.txt
      - name: Upload Results
        uses: actions/upload-artifact@v3
        with:
          name: weekly-research
          path: weekly_research.txt
 ```
 ---
 ## Configuration Recommendations
 ### Quick Analysis (Cost-Effective)
@ -311,34 +218,6 @@ swarms heavy-swarm \
 ---
 ## Output Processing
 ### Save to File
 ```bash
 swarms heavy-swarm --task "Your task" > report.txt 2>&1
 ```
 ### Extract Sections
 ```bash
 # Get executive summary
 swarms heavy-swarm --task "Your task" | grep -A 50 "Executive Summary"
 # Get recommendations
 swarms heavy-swarm --task "Your task" | grep -A 20 "Recommendations"
 ```
 ### Timestamp Output
 ```bash
 swarms heavy-swarm --task "Your task" | while read line; do
    echo "[$(date '+%H:%M:%S')] $line"
 done
 ```
 ---
 ## Best Practices
 !!! tip "Task Formulation"
--- a/docs/swarms/cli/cli_llm_council_guide.md
+++ b/docs/swarms/cli/cli_llm_council_guide.md
@ -116,116 +116,6 @@ The default council includes:
 ---
 ## Scripting Examples
 ### Batch Processing
 ```bash
 #!/bin/bash
 # council_batch.sh
 QUESTIONS=(
    "What is the future of remote work?"
    "How will AI impact healthcare in 5 years?"
    "What are the risks of cryptocurrency adoption?"
 )
 for question in "${QUESTIONS[@]}"; do
    echo "=== Processing: $question ===" >> council_results.txt
    swarms llm-council --task "$question" >> council_results.txt
    echo "" >> council_results.txt
 done
 ```
 ### Weekly Analysis Script
 ```bash
 #!/bin/bash
 # weekly_council.sh
 DATE=$(date +%Y-%m-%d)
 OUTPUT_FILE="council_analysis_$DATE.txt"
 echo "Weekly Market Analysis - $DATE" > $OUTPUT_FILE
 echo "================================" >> $OUTPUT_FILE
 swarms llm-council \
    --task "Analyze current tech sector market conditions and provide outlook for the coming week" \
    --verbose >> $OUTPUT_FILE
 echo "Analysis complete: $OUTPUT_FILE"
 ```
 ### CI/CD Integration
 ```yaml
 # .github/workflows/council-analysis.yml
 name: Weekly Council Analysis
 on:
  schedule:
    - cron: '0 8 * * 1'  # Every Monday at 8 AM
 jobs:
  council:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'
      - name: Install Swarms
        run: pip install swarms
      - name: Run Council Analysis
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: |
          swarms llm-council \
            --task "Provide weekly technology trends analysis" \
            --verbose > weekly_analysis.txt
      - name: Upload Results
        uses: actions/upload-artifact@v3
        with:
          name: council-analysis
          path: weekly_analysis.txt
 ```
 ---
 ## Output Processing
 ### Capture to File
 ```bash
 swarms llm-council --task "Your question" > council_output.txt 2>&1
 ```
 ### Extract Sections
 ```bash
 # Get just the final synthesis
 swarms llm-council --task "Your question" | grep -A 100 "FINAL SYNTHESIS"
 ```
 ### JSON Processing
 ```bash
 # Pipe to Python for processing
 swarms llm-council --task "Your question" | python3 -c "
 import sys
 content = sys.stdin.read()
 # Process content as needed
 print(content)
 "
 ```
 ---
 ## Best Practices
 !!! tip "Query Formulation"
--- a/docs/swarms/cli/cli_yaml_guide.md
+++ b/docs/swarms/cli/cli_yaml_guide.md
@ -312,40 +312,6 @@ swarms load-markdown --markdown-path ./agents/ --concurrent
 ---
 ## CI/CD Integration
 ### GitHub Actions
 ```yaml
 # .github/workflows/run-agents.yml
 name: Run Agent Pipeline
 on:
  schedule:
    - cron: '0 9 * * 1'  # Every Monday at 9 AM
 jobs:
  run-agents:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: '3.10'
      - name: Install Swarms
        run: pip install swarms
      - name: Run Agents
        env:
          OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
        run: swarms run-agents --yaml-file agents.yaml
 ```
 ---
 ## Next Steps
 - [CLI Agent Guide](./cli_agent_guide.md) - Create agents from command line