Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/vibeeval/vibecosystemnpx agentmods add skills/vibeeval/vibecosystem/agentica-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vibeeval/vibecosystem/agentica-server)<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/agentica-server"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agentica-server/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/agentica-server"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/agentica-server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.01111 |
| Opus 5.5 | $0.00007 | $0.00444 |
| Sonnet 5.5 | $0.00004 | $0.00222 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
agentica-server scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:8080/health This is a copy
100% identical to agentica-server — 334 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentica Server + Claude Proxy Setup
Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend.
When to Use
Use this skill when:
- Starting Agentica development with Claude proxy
- Debugging connection issues between SDK, server, and proxy
- Setting up a fresh Agentica environment
- Troubleshooting agent tool access or hallucination issues
Architecture
Agentica SDK (client code)
| S_M_BASE_URL=http://localhost:2345
v
ClientSessionManager
|
v
Agentica Server (agentica-server)
| INFERENCE_ENDPOINT_URL=http://localhost:8080/v1/chat/completions
v
Claude Proxy (claude_proxy.py)
|
v
Claude CLI (claude -p)
Environment Variables
| Variable | Set By | Used By | Purpose |
|---|---|---|---|
INFERENCE_ENDPOINT_URL |
Human | agentica-server | Where server sends LLM inference requests |
S_M_BASE_URL |
Human | Agentica SDK client | Where SDK connects to session manager |
KEY: These are NOT the same endpoint!
- SDK connects to server (port 2345)
- Server connects to proxy (port 8080)
Startup Sequence
Must start in this order (each in a separate terminal):
Terminal 1: Claude Proxy
uv run python scripts/agentica/claude_proxy.py --port 8080
Terminal 2: Agentica Server
MUST run from its directory:
cd workspace/agentica-research/agentica-server
INFERENCE_ENDPOINT_URL=http://localhost:8080/v1/chat/completions uv run agentica-server --port 2345
Terminal 3: Your Agent Script
S_M_BASE_URL=http://localhost:2345 uv run python scripts/agentica/your_script.py
Health Checks
# Claude proxy health
curl http://localhost:8080/health
# Agentica server health
curl http://localhost:2345/health
Common Errors & Fixes
1. APIConnectionError after agent spawn
Symptom: Agent spawns successfully but fails on first call with connection error.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 168 lines · 18 tokens per session scan A b0874b4f9d87
agentica-server is a skill published in the GitHub repository vibeeval/vibecosystem (538 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 1,111 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to agentica-server, differing in 334 lines, and is treated as a copy.
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