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Agentica server + Claude proxy setup - architecture, startup sequence, debugging
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
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Complete reference for running Agentica SDK with a local Claude proxy. This enables Python agents to use Claude CLI as their inference backend.
Use this skill when:
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)
| 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!
Must start in this order (each in a separate terminal):
uv run python scripts/agentica/claude_proxy.py --port 8080
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
S_M_BASE_URL=http://localhost:2345 uv run python scripts/agentica/your_script.py
# Claude proxy health
curl http://localhost:8080/health
# Agentica server health
curl http://localhost:2345/health
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
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.
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
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.
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.
| File | Purpose |
|---|---|
scripts/agentica/claude_proxy.py | OpenAI-compatible proxy with SSE streaming |
workspace/agentica-research/agentica-server/ | Local agentica-server installation |
scripts/agentica/PATTERNS.md | Multi-agent pattern documentation |
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"}]}'
Before running agents:
S_M_BASE_URL set for client scriptsINFERENCE_ENDPOINT_URL set for servername: agentica-server description: Agentica server + Claude proxy setup - architecture, startup sequence, debugging allowed-tools: [Bash, Read] user-invocable: false
---
name: agentica-server
description: Agentica server + Claude proxy setup - architecture, startup sequence, debugging
allowed-tools: [Bash, Read]
user-invocable: false
---
# 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
```bash
uv run python scripts/agentica/claude_proxy.py --port 8080
```
### Terminal 2: Agentica Server
**MUST run from its directory:**
```bash
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
```bash
S_M_BASE_URL=http://localhost:2345 uv run python scripts/agentica/your_script.py
```
## Health Checks
```bash
# 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:
```bash
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
| File | Purpose |
|------|---------|
| `scripts/agentica/claude_proxy.py` | OpenAI-compatible proxy with SSE streaming |
| `workspace/agentica-research/agentica-server/` | Local agentica-server installation |
| `scripts/agentica/PATTERNS.md` | Multi-agent pattern documentation |
## Quick Verification
Test the full stack:
```bash
# 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
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
71/100
Strong
Trust
57/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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Needs review
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