Semantic Kernel

pip install meshai-sdk[semantic-kernel]

from meshai import MeshAI
from meshai.integrations.semantic_kernel import track_semantic_kernel
from semantic_kernel import Kernel

client = MeshAI(api_key="msh_...", agent_name="my-sk-agent")
client.register(framework="semantic-kernel")

kernel = Kernel()
# ... add AI services to kernel ...

# Enable tracking on the kernel
track_semantic_kernel(client, kernel)

# Use as normal, all LLM calls tracked
result = await kernel.invoke(my_function, input="Hello")

from meshai.integrations.semantic_kernel import MeshAIPromptFilter
from semantic_kernel import Kernel

kernel = Kernel()
# ... add AI services to kernel ...

# Add as a prompt filter
kernel.add_filter("prompt", MeshAIPromptFilter(client))

result = await kernel.invoke(my_function, input="Hello")
# Model and tokens tracked automatically

export OPENAI_BASE_URL=https://proxy.meshai.dev/v1/openai/k/msh_YOUR_PROXY_KEY