agent-studio-starter

Provides a starter template for building an AI agent web app: a FastAPI backend using LangGraph Deep Agents (with tools and streaming) paired with a Next.js frontend using CopilotKit generative UI that renders tool-call events in real time. Includes Kubernetes/Skaffold deployment scaffolding.

Evaluated Mar 30, 2026 (22d ago)
Homepage ↗ Repo ↗ Ai Ml agents langgraph copilotkit fastapi nextjs typescript kubernetes skaffold mcp deep-agents
⚙ Agent Friendliness
42
/ 100
Can an agent use this?
🔒 Security
26
/ 100
Is it safe for agents?
⚡ Reliability
24
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
0
Documentation
70
Error Messages
0
Auth Simplicity
20
Rate Limits
0

🔒 Security

TLS Enforcement
40
Auth Strength
10
Scope Granularity
0
Dep. Hygiene
50
Secret Handling
40

Backend/frontend wiring is described, but no authentication/authorization, secure header policies, or rate limiting are documented in the provided content. The template uses env var for backend URL; handling of API keys/LLM credentials and logging redaction are not described.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
35
Error Recovery
25
AF Security Reliability

Best When

You want a working baseline to experiment with LangGraph + CopilotKit and quickly build a UI that reflects tool execution states.

Avoid When

You need out-of-the-box authentication/authorization, documented rate limits, and strong operational guarantees suitable for public exposure without additional hardening.

Use Cases

  • Prototyping agentic workflows with tool calling
  • Building interactive agent UIs that react to tool calls/streaming
  • Local development with Kubernetes + hot reload for agent apps
  • Demonstration of LangGraph deep-agent orchestration patterns

Not For

  • Production systems requiring mature auth, rate limiting, and hardened security controls out of the box
  • Use cases needing a stable, fully specified OpenAPI/SDK contract for long-term integrations
  • Compliance-sensitive deployments without clear data handling and security configuration

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
No

Authentication

OAuth: No Scopes: No

No authentication/authorization mechanism is described in the provided README content for the backend endpoints exposed to the frontend.

Pricing

Model: OpenAI/GitHub Copilot models via LiteLLM (not spec
Free tier: No
Requires CC: No

Pricing depends on the underlying LLM provider configured in the template (not fully specified here).

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • Template likely assumes tool outputs are valid JSON; UI parsing via JSON.parse(result) may fail if tool returns non-JSON or unexpected shapes.
  • No explicit guidance is provided here on idempotency for tool invocations; retries could duplicate side effects for real tools.
  • No explicit rate-limit or backoff strategy is documented for either client or server in the provided content.

Alternatives

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Scores are editorial opinions as of 2026-03-30.

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