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Initialize LangChain & AutoGen KV-Cache Engine

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Linked challenge: LangChain & AutoGen KV-Cache Multi-Tenant Capacity Planner

Format
Code-aware
Lines
12
Sections
3
Linked challenge
LangChain & AutoGen KV-Cache Multi-Tenant Capacity Planner

Prompt source

Original prompt text with formatting preserved for inspection.

12 lines
3 sections
No variables
0 checklist items
from langchain_core.tools import tool
import autogen

# Define LangChain tool for memory allocation check
@tool
def check_gpu_vram_capacity(requested_blocks: int, gpu_id: int = 0) -> dict:
    """Calculates available PagedAttention memory blocks on targeted GPU."""
    # Simulation logic here
    pass

# Configure AutoGen multi-tenant negotiation system
config_list = [{'model': 'gpt-4o', 'api_key': 'ENV_KEY'}]
user_proxy = autogen.UserProxyAgent(name="TenantScheduler", human_input_mode="NEVER")
planner = autogen.AssistantAgent(name="KVCachePlanner", llm_config={'config_list': config_list})

Adaptation plan

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Keep stable

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Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.