Agentica claude proxy
Skill ulpi-io/plugin-marketplace/plugins/parcadei/skills/agentica-claude-proxy
Guide for integrating Agentica SDK with Claude Code CLI proxyFrom its SKILL.md
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SKILL.md
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Agentica-Claude Code Proxy Integration
Use this skill when developing or debugging the Agentica-Claude proxy integration.
When to Use
- Setting up Agentica agents to use Claude Code tools
- Debugging agent hallucination issues
- Fixing permission errors in file operations
- Understanding the REPL response format
Architecture Overview
Agentica Agent → S_M_BASE_URL → Claude Proxy → claude -p → Claude CLI (with tools)
(localhost:2345) (localhost:8080)
Critical Requirements
1. --allowedTools Flag (REQUIRED)
Claude CLI in -p mode restricts file operations. You MUST add:
subprocess.run([
"claude", "-p", prompt,
"--append-system-prompt", system_prompt,
"--allowedTools", "Read", "Write", "Edit", "Bash", # REQUIRED
])
Without this, agents will report "permission denied" for Write/Edit operations.
2. SSE Streaming Format (REQUIRED)
Agentica expects SSE streaming, not plain JSON:
# Response format
yield f"data: {json.dumps(chunk)}\n\n"
yield "data: [DONE]\n\n"
3. REPL Response Format (REQUIRED)
Agents MUST return results as Python code blocks with a return statement:
return "your result here"
Agentica's REPL parser extracts code between ```python and ```.
Anti-Hallucination Prompt Engineering
Agents will hallucinate success without actually using tools unless you explicitly warn them:
## ANTI-HALLUCINATION WARNING
**STOP AND READ THIS CAREFULLY:**
You have access to these tools: Read, Write, Edit, Bash
When the task asks you to create/modify/run something:
1. FIRST: Actually invoke the tool (Read, Write, Edit, or Bash)
2. SECOND: Wait for the tool result
3. THIRD: Then return your answer based on what actually happened
**DO NOT** skip the tool invocation and just claim success!
If you didn't invoke a tool, you CANNOT claim the action succeeded.
Path Sandboxing
Both Claude Code and Agentica have sandboxes:
/tmp/paths are blocked by Claude Code- Files outside project directory blocked by Agentica
Solution: Use project-relative paths like workspace/ instead of /tmp/
Debugging
Check Agent Logs
cat logs/agent-<N>.log
Note: Logs only show final conversational response, not tool invocations.
Test Proxy Directly
curl -s http://localhost:8080/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{"model": "claude", "messages": [{"role": "user", "content": "Create file at workspace/test.txt"}], "stream": false}'
Verify File Operations
# After agent claims to create file
ls -la workspace/test.txt
cat workspace/test.txt
Server Commands
Start Servers
# Terminal 1: Proxy
uv run python scripts/agentica/claude_proxy.py --port 8080
# Terminal 2: Agentica Server
cd workspace/agentica-research/agentica-server
INFERENCE_ENDPOINT_URL=http://localhost:8080/v1/chat/completions uv run agentica-server --port 2345
Use Swarm
S_M_BASE_URL=http://localhost:2345 uv run python your_script.py
Health Checks
curl http://localhost:8080/health # Proxy
curl http://localhost:2345/health # Agentica
Reference Files
- Proxy implementation:
scripts/agentica/claude_proxy.py - REPL_BASELINE prompt:
scripts/agentica/claude_proxy.py:49-155 - Comprehensive test:
workspace/test_swarm_all_tools.py - DependencySwarm:
scripts/agentica/dependency_swarm.py
Common Errors
| Error | Cause | Fix |
|---|---|---|
| "Permission denied" | Missing --allowedTools | Add --allowedTools Read Write Edit Bash |
| Agent claims success but file not created | Hallucination | Add anti-hallucination prompt section |
| "Cannot access /tmp/..." | Sandbox restriction | Use project-relative paths |
| "APIConnectionError" | Wrong response format | Use SSE streaming (data: {...}\n\n) |
| "NameError: view_file" | Agent using REPL functions | Add REPL_BASELINE with native tool examples |
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most context ai engineering skills give in ~1.0k tokens
Counted across 1,193 of the 1,976 authors here whose files we hold, read 2026-08-07
- Dispatch a fresh implementer subagent per taskin 48 of 1193, across 19 files
- Dispatch a final code reviewer after all tasksin 33 of 1193, across 8 files
- Provide full task text to the subagentin 30 of 1193, across 9 files
- Review spec compliance before code qualityin 27 of 1193, across 10 files
- Make the hook script executablein 26 of 1193, across 8 files
- Re-snapshot after navigation or DOM changesin 25 of 1193, across 19 files
- Read files before editing themin 22 of 1193, across 11 files
- Answer subagent questions before proceedingin 22 of 1193, across 7 files
- Mark task complete in TodoWrite after approvalin 22 of 1193, across 6 files
- Merge hook into existing settingsin 21 of 1193, across 3 files
- Ask if installation is global or projectin 20 of 1193, across 2 files
- Copy the hook script to target locationin 20 of 1193, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.