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Agentica server + Claude proxy setup - architecture, startup sequence, debugging

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1.2k downloads
Updated 2/14/2026

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SKILL.md

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

VariableSet ByUsed ByPurpose
INFERENCE_ENDPOINT_URLHumanagentica-serverWhere server sends LLM inference requests
S_M_BASE_URLHumanAgentica SDK clientWhere 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.

Cause: Claude proxy returning plain JSON instead of SSE format.

Fix: Proxy must return Server-Sent Events format:

data: {"choices": [...]}\n\n

2. ModuleNotFoundError for agentica-server

Symptom: ModuleNotFoundError: No module named 'agentica_server'

Cause: Running uv run agentica-server from wrong directory.

Fix: Must cd workspace/agentica-research/agentica-server first.

3. Agent can't use Read/Write/Edit tools

Symptom: Agent asks for file contents instead of reading them.

Cause: Missing --allowedTools in claude_proxy.py CLI call.

Fix: Proxy must pass tool permissions:

claude -p ... --allowedTools Read Write Edit Bash

4. Agent claims success but didn't do task

Symptom: Agent says "I've created the file" but file doesn't exist.

Cause: Hallucination - agent describing intended actions without executing.

Fix: Added emphatic anti-hallucination prompt in REPL_BASELINE:

CRITICAL: Use ACTUAL tools. Never DESCRIBE using tools.

5. Timeout on agent.call()

Symptom: Call hangs for 30+ seconds then times out.

Cause: Claude CLI taking too long or stuck in a loop.

Fix: Check proxy logs for the actual CLI output. May need to simplify prompt.

Key Files

FilePurpose
scripts/agentica/claude_proxy.pyOpenAI-compatible proxy with SSE streaming
workspace/agentica-research/agentica-server/Local agentica-server installation
scripts/agentica/PATTERNS.mdMulti-agent pattern documentation

Quick Verification

Test the full stack:

# 1. Verify proxy responds
curl http://localhost:8080/health

# 2. Verify server responds
curl http://localhost:2345/health

# 3. Test inference through proxy
curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{"model":"claude","messages":[{"role":"user","content":"Say hello"}]}'

Checklist

Before running agents:

  • Claude proxy running on port 8080
  • Agentica server running on port 2345 (from its directory)
  • S_M_BASE_URL set for client scripts
  • INFERENCE_ENDPOINT_URL set for server
  • Both health checks return 200

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

88/100Analyzed 2/19/2026

High-quality technical reference skill covering Agentica server + Claude proxy setup. Excellent structure with architecture diagram, environment variables table, step-by-step startup sequence, health checks, and detailed error troubleshooting. Contains clear 'When to Use' section and tags for discoverability. The content is specific enough to be actionable but the debugging patterns (SSE streaming, tool permissions, anti-hallucination) are broadly applicable to LLM agent setups. Minor扣分 for internal path suggesting single-project focus, but content is genuinely reusable."

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Metadata

Licenseunknown
Version-
Updated2/14/2026
Publisherscooter-lacroix

Tags

apici-cdllmpromptingtesting