can I integrate copilot-sdk with agno

[agoswami84]

is it possible to integrate coplit-sdk with agno

[agoswami84]

adding more details, Can I use copilot sdk run method which will be call by run method of agent to invoke that class

[xXMrNidaXx]

Integrating Copilot SDK with Agno — definitely possible!

Approach 1: Copilot as an Agno tool

from agno import Agent, Tool
from copilot_sdk import CopilotClient

copilot = CopilotClient(api_key="...")

@Tool
def copilot_complete(prompt: str, context: str = "") -> str:
    """Use GitHub Copilot for code completion"""
    return copilot.complete(prompt, context=context)

agent = Agent(
    tools=[copilot_complete],
    model="claude-3"
)

Approach 2: Copilot as sub-agent

copilot_agent = Agent(
    name="copilot",
    model="copilot",  # Custom model wrapper
    role="Code completion specialist"
)

main_agent = Agent(
    name="orchestrator",
    sub_agents=[copilot_agent]
)

Approach 3: Middleware

def copilot_middleware(request, next):
    if request.needs_code:
        request.context += copilot.suggest(request.prompt)
    return next(request)

Considerations:

• Rate limits on Copilot API
• Context window management
• Cost (Copilot + your LLM)

We integrate coding assistants at RevolutionAI. What's your specific use case — code gen, review, or completion?

[xXMrNidaXx]

Yes, you can integrate Copilot SDK with Agno!

Approach 1: Use Copilot as a tool

from agno.agent import Agent
from agno.tools import tool
from copilot_sdk import Copilot

copilot = Copilot(api_key="...")

@tool
def code_assist(prompt: str, language: str = "python") -> str:
    """Get code assistance from Copilot."""
    return copilot.complete(prompt, language=language)

agent = Agent(
    tools=[code_assist],
    instructions=["Use code_assist for programming help"]
)

Approach 2: Use Copilot as the LLM backend

from agno.models.base import Model

class CopilotModel(Model):
    def __init__(self):
        self.copilot = Copilot(api_key="...")
    
    def chat(self, messages):
        return self.copilot.chat(messages)

agent = Agent(model=CopilotModel())

Approach 3: Hybrid — Agno for orchestration, Copilot for code

# Main agent uses GPT-4
agent = Agent(model=OpenAI("gpt-4o"))

# Code-specific tasks delegate to Copilot
@tool
def write_code(spec: str) -> str:
    return copilot.generate(spec)

Which to choose:

• Tool approach: Best for specific coding tasks
• LLM backend: If Copilot is your primary model
• Hybrid: General reasoning + specialized coding

We integrate multiple AI services with Agno at Revolution AI — the tool approach gives you the most flexibility.

[amahuli03]

@agoswami84 @xXMrNidaXx Since there are several ways to do this, would the team be open to a PR that formalizes Approach 2 as a built-in Model provider? Or is the preference to keep it as a user-implemented pattern for now?