vllm docs and cleanup

Author: kyegomez

agent_mcp_test.py

@@ -0,0 +1,25 @@
+
+from swarms import Agent
+from swarms.prompts.finance_agent_sys_prompt import (
+    FINANCIAL_AGENT_SYS_PROMPT,
+)
+from swarms.tools.mcp_integration import MCPServerSseParams
+
+server_one = MCPServerSseParams(
+    url="http://127.0.0.1:6274",
+    headers={"Content-Type": "application/json"},
+)
+
+# Initialize the agent
+agent = Agent(
+    agent_name="Financial-Analysis-Agent",
+    agent_description="Personal finance advisor agent",
+    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
+    max_loops=1,
+    mcp_servers=[server_one],
+    output_type="final",
+)
+
+out = agent.run("Use the add tool to add 2 and 2")
+
+print(type(out))

cleanup_and_publish.sh

@@ -7,6 +7,10 @@ black . && echo "✅ Code formatting complete!" || echo "❌ Black formatting fa
 echo "🔍 Running Ruff linter..."
 ruff check . --fix && echo "✅ Linting complete!" || echo "❌ Linting failed!"
 
+
+echo "Creating llm.txt file..."
+python3 llm_txt.py && echo "✅ llm.txt file created!" || echo "❌ llm.txt file creation failed!"
+
 echo "🏗️  Building package..."
 poetry build && echo "✅ Build successful!" || echo "❌ Build failed!"
 

docs/llm.txt

@@ -283,6 +283,7 @@ nav:
       - Ollama: "swarms/examples/ollama.md"
       - OpenRouter: "swarms/examples/openrouter.md"
       - XAI: "swarms/examples/xai.md"
+      - VLLM: "swarms/examples/vllm_integration.md"
     - Swarms Tools: 
       - Agent with Yahoo Finance: "swarms/examples/yahoo_finance.md"
       - Twitter Agents: "swarms_tools/twitter.md"
@@ -299,6 +300,7 @@ nav:
       - Group Chat Example: "swarms/examples/groupchat_example.md"
       - Meme Agent Builder: "swarms/examples/meme_agents.md"
       - Sequential Workflow Example: "swarms/examples/sequential_example.md"
+      - ConcurrentWorkflow with VLLM Agents: "swarms/examples/vllm.md"
       - External Agents:
         - Swarms of Browser Agents: "swarms/examples/swarms_of_browser_agents.md"
     - Swarms UI: