from dedalus_mcp.client import open_connection

async with open_connection("http://127.0.0.1:8000/mcp") as client:
    prompts = await client.list_prompts()

    for p in prompts.prompts:
        print(f"{p.name}: {p.description}")

for p in prompts.prompts:
    print(f"Name: {p.name}")
    print(f"Description: {p.description}")
    if p.arguments:
        for arg in p.arguments:
            required = "(required)" if arg.required else "(optional)"
            print(f"  - {arg.name}: {arg.description} {required}")

result = await client.get_prompt("summarize", {"style": "brief"})
print(result.messages)

from dedalus_mcp import types

result = await client.get_prompt("code-review", {"language": "python"})

for msg in result.messages:
    content = msg.content
    if isinstance(content, types.TextContent):
        text = content.text
    else:
        text = f"<{content.type} content>"
    print(f"[{msg.role}] {text}")

import asyncio
from dedalus_mcp.client import MCPClient
from dedalus_mcp import types

async def main():
    client = await MCPClient.connect("http://127.0.0.1:8000/mcp")
    try:
        prompts = await client.list_prompts()
        print("Available prompts:")
        for p in prompts.prompts:
            print(f"  - {p.name}: {p.description}")

        result = await client.get_prompt(
            "explain-code",
            {
                "language": "python",
                "code": "def fib(n): return n if n < 2 else fib(n-1) + fib(n-2)",
            },
        )

        print("\nरेंडर किया गया prompt:")
        for msg in result.messages:
            if isinstance(msg.content, types.TextContent):
                print(f"[{msg.role}] {msg.content.text}")
            else:
                print(f"[{msg.role}] <{msg.content.type} content>")

    finally:
        await client.close()

asyncio.run(main())

result = await client.get_prompt("greeting")
# या स्पष्ट रूप से:
result = await client.get_prompt("greeting", {})

from dedalus_mcp.client import open_connection

async with open_connection("http://127.0.0.1:8000/mcp") as client:
    prompts = await client.list_prompts()
    result = await client.get_prompt("analyze", {"data": "sample"})