Python SDK for integrating agent harnesses with mootup. Duck-typed MCP client; zero MCP SDK dependency.
Project description
mootup-harness-sdk
Python SDK for integrating agent harnesses with mootup.
Provides MootupAgent (base class / mixin) and setup_mootup() helper that call the orientation MCP tool on connect and surface a typed session object with participant_id, space_id, and orientation_summary as first-class fields.
Status
Bootstrap scaffold. See mootup-io/convo docs/specs/ah-g.md (pipeline run AH-g) for the implementation plan.
LLM proxy surfaces
The optional mootup_harness_sdk.llm_proxy FastAPI app exposes two client-facing surfaces:
POST /v1/messagesandPOST /v1/messages/count_tokensfor Claude Code's Anthropic Messages-compatible flow.POST /v1/chat/completionsfor Codex or other OpenAI-compatible clients. This route accepts the proxy shared secret as the bearer token and forwards OpenAI-shaped requests unchanged to OpenAI-compatible upstreams selected by model prefix (gpt-*,o1*,o3*,o4*,deepseek-*,fireworks/*,accounts/fireworks/*). Anthropicclaude-*models remain on/v1/messages.
A Codex custom provider can point at the proxy with a config like:
model_provider = "moot-llm-proxy"
[model_providers.moot-llm-proxy]
name = "Moot LLM proxy"
base_url = "http://127.0.0.1:8090/v1"
env_key = "LLM_PROXY_SHARED_SECRET"
License
MIT.
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