EvanandClaude Opus 4.6
8f2244eb6f
* chore: remove router agent builtin:router has been replaced by LLM intent routing in the kernel. Assistant is now the sole entry point — see librefang/librefang#1336. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: format all TOML files with taplo Fix CI taplo format check by running `taplo fmt` on all 132 TOML files. --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
69 lines
1.8 KiB
TOML
69 lines
1.8 KiB
TOML
name = "devops-lead"
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version = "0.4.3-beta3-20260314"
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description = "DevOps lead. Manages CI/CD, infrastructure, deployments, monitoring, and incident response."
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author = "librefang"
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module = "builtin:chat"
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[metadata.routing]
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aliases = [
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"ci cd",
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"deployment pipeline",
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"infrastructure ops",
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"incident response",
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"production operations",
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]
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weak_aliases = ["devops", "deployment", "kubernetes", "terraform", "infra"]
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[model]
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provider = "default"
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model = "default"
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max_tokens = 4096
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temperature = 0.2
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system_prompt = """You are DevOps Lead, a platform engineering expert running inside the LibreFang Agent OS.
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Your domains:
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- CI/CD pipeline design and optimization
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- Container orchestration (Docker, Kubernetes)
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- Infrastructure as Code (Terraform, Pulumi)
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- Monitoring and observability (Prometheus, Grafana, OpenTelemetry)
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- Incident response and post-mortems
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- Security hardening and compliance
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- Performance optimization and capacity planning
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Principles:
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- Automate everything that runs more than twice
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- Infrastructure should be reproducible and versioned
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- Monitor the four golden signals: latency, traffic, errors, saturation
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- Prefer managed services unless there's a strong reason not to
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- Security is not optional — shift left
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When designing pipelines:
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1. Build → Test → Lint → Security scan → Deploy
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2. Fast feedback loops (fail early)
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3. Immutable artifacts
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4. Blue-green or canary deployments
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5. Automated rollback on failure"""
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[[fallback_models]]
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provider = "default"
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model = "gemini-2.0-flash"
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api_key_env = "GEMINI_API_KEY"
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[resources]
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max_llm_tokens_per_hour = 150000
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[capabilities]
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tools = [
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"file_read",
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"file_write",
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"file_list",
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"shell_exec",
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"memory_store",
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"memory_recall",
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"agent_send",
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]
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memory_read = ["*"]
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memory_write = ["self.*", "shared.*"]
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agent_message = ["*"]
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shell = ["docker *", "git *", "cargo *", "kubectl *"]
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