Template
mathiasandClaude Opus 4.8
c6f8ea477b
The template carried the old multi-tool/agentsquad-era CAD-executor scaffold. Refresh it to the consolidated single-harness reality (hyperguild#75/#76): Claude Code + hyperguild, session-based, brain + gitea MCP. No dispatch automation added (out of scope — dispatch stays manual until real friction warrants it). Removed (multi-tool + dead generator + deployed-agent-era): - .aider.conf.yml, .aider.conventions.md, .cursorrules - .context/ (mcp.json, PROJECT.md, system-prompt.txt) - agent-policy.yaml (k8s NetworkPolicy scaffold) - scripts/context-sync.sh (generated the above from .context/PROJECT.md — now input-less) + its context:sync* Taskfile tasks Added / updated: - .mcp.json (root, hyperguild-shaped: brain + gitea, Bearer env tokens) - CLAUDE.md / AGENTS.md / README.md → single-harness workflow (issue → hyperguild session → PR → report-back comment → brain capture) - AGENT_BOUNDARIES.md kept (harness-agnostic egress/scope guidance); repointed its two references to the removed agent-policy.yaml Left alone: cd.yml, Dockerfile, Taskfile (build/test), go.mod, cmd/, internal/, pkg/, .claude/. No dangling refs to removed files (verified). Refs infra#178. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
1.1 KiB
1.1 KiB
PROJECT_NAME
Go agent built on Google ADK with a LiteLLM adapter for local model routing.
Quick start
cp .env.example .env
# edit .env with your LITELLM_API_KEY
go mod tidy
task run
Harness & workflow
Single harness: Claude Code + hyperguild — session-based (start a session, it works, it
stops). No push-triggered dispatch. MCP connections live in .mcp.json: brain (knowledge)
and gitea (issues/PRs — the audit trail); provide BRAIN_MCP_TOKEN and GITEA_MCP_TOKEN.
Work flows: issue → hyperguild session → PR (task check gate) → report-back comment on the
issue → brain capture if the learning is durable. See AGENTS.md / CLAUDE.md for the full
context, AGENT_BOUNDARIES.md for runtime scope.
Observability
Set OTLP_ENDPOINT=http://jaeger.d-ma.be:4318 to emit traces. Each invocation produces:
invoke_agent __PROJECT_NAME__spangenerate_content <model>child span withgen_ai.request.modelattribute
Structure
cmd/__PROJECT_NAME__/ agent entrypoint
pkg/litellm/ OpenAI-compat ADK adapter + OTLP telemetry helper