agentica-server
Agentica server + Claude proxy setup - architecture, startup sequence, debugging
Install
mkdir -p .claude/skills/agentica-server && curl -L -o skill.zip "https://mcp.directory/api/skills/download/2319" && unzip -o skill.zip -d .claude/skills/agentica-server && rm skill.zipInstalls to .claude/skills/agentica-server
About this skill
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.
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
| 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:
# 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_URLset for client scripts -
INFERENCE_ENDPOINT_URLset for server - Both health checks return 200
More by parcadei
View all skills by parcadei →You might also like
flutter-development
aj-geddes
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
drawio-diagrams-enhanced
jgtolentino
Create professional draw.io (diagrams.net) diagrams in XML format (.drawio files) with integrated PMP/PMBOK methodologies, extensive visual asset libraries, and industry-standard professional templates. Use this skill when users ask to create flowcharts, swimlane diagrams, cross-functional flowcharts, org charts, network diagrams, UML diagrams, BPMN, project management diagrams (WBS, Gantt, PERT, RACI), risk matrices, stakeholder maps, or any other visual diagram in draw.io format. This skill includes access to custom shape libraries for icons, clipart, and professional symbols.
ui-ux-pro-max
nextlevelbuilder
"UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 8 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient."
godot
bfollington
This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-based), common pitfalls, validation tools, code templates, and CLI workflows. The `godot` command is available for running the game, validating scripts, importing resources, and exporting builds. Use this skill for tasks involving Godot game development, debugging scene/resource files, implementing game systems, or creating new Godot components.
nano-banana-pro
garg-aayush
Generate and edit images using Google's Nano Banana Pro (Gemini 3 Pro Image) API. Use when the user asks to generate, create, edit, modify, change, alter, or update images. Also use when user references an existing image file and asks to modify it in any way (e.g., "modify this image", "change the background", "replace X with Y"). Supports both text-to-image generation and image-to-image editing with configurable resolution (1K default, 2K, or 4K for high resolution). DO NOT read the image file first - use this skill directly with the --input-image parameter.
fastapi-templates
wshobson
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
Related MCP Servers
Browse all serversUse Claude Code, Gemini CLI, Codex CLI, or any MCP client with any AI model. Acts as a multi-model proxy supporting Open
Easily launch and manage Google Ads from any AI client using our remote MCP server—no setup or coding required.
Build persistent semantic networks for enterprise & engineering data management. Enable data persistence and memory acro
Boost productivity with Task Master: an AI-powered tool for project management and agile development workflows, integrat
Optimize your codebase for AI with Repomix—transform, compress, and secure repos for easier analysis with modern AI tool
Connect Blender to Claude AI for seamless 3D modeling. Use AI 3D model generator tools for faster, intuitive, interactiv
Stay ahead of the MCP ecosystem
Get weekly updates on new skills and servers.