free-claude-code-proxy

Original：🇺🇸 English

Translated

Run Claude Code CLI, VS Code, or JetBrains ACP through a local proxy that routes to NVIDIA NIM, Kimi, OpenRouter, DeepSeek, or local LLMs

13installs

Sourcearadotso/claude-code-skills

Added on2026-05-17

NPX Install

npx skill4agent add aradotso/claude-code-skills free-claude-code-proxy

SKILL.md Content

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free-claude-code-proxy

Skill by ara.so — Claude Code Skills collection.

Free Claude Code is a local proxy server that intercepts Anthropic Messages API calls from Claude Code and routes them to alternative providers like NVIDIA NIM, Kimi, Wafer, OpenRouter, DeepSeek, LM Studio, llama.cpp, Ollama, OpenCode Zen, or Z.ai. It maintains Claude Code's client-side protocol while letting you choose free, paid, or local models with full streaming, tool use, and reasoning block support.

Installation

Prerequisites

Install uv and Python 3.14:

bash

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
uv self update
uv python install 3.14

# Windows PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
uv self update
uv python install 3.14

Install Claude Code

bash

npm install -g @anthropic-ai/claude-code

Install Free Claude Code Proxy

bash

uv tool install --force git+https://github.com/Alishahryar1/free-claude-code.git

Update to latest version with the same command.

Starting the Proxy

bash

fcc-server

Output shows:

Server URL: http://127.0.0.1:8082
Admin UI: http://127.0.0.1:8082/admin

The server runs on port

by default (configurable via

PORT

env var).

Admin UI Configuration

Open

http://127.0.0.1:8082/admin

in your browser to configure providers and models through a local web interface.

Quick Setup: NVIDIA NIM

Get API key from https://build.nvidia.com/settings/api-keys
In Admin UI, paste into
```
NVIDIA_NIM_API_KEY
```
Click Validate then Apply
Default
```
MODEL
```
is already set to
```
nvidia_nim/z-ai/glm4.7
```

Environment Variables

The Admin UI manages these settings (or set via

.env

file):

bash

# Server config
PORT=8082
AUTH_TOKEN=freecc
LOG_LEVEL=INFO

# Provider API keys (set one or more)
NVIDIA_NIM_API_KEY=nvapi-xxx
KIMI_API_KEY=sk-xxx
WAFER_API_KEY=sk-xxx
OPENROUTER_API_KEY=sk-xxx
DEEPSEEK_API_KEY=sk-xxx
OPENCODE_API_KEY=sk-xxx
ZAI_API_KEY=sk-xxx

# Local provider URLs
LM_STUDIO_BASE_URL=http://localhost:1234
LLAMACPP_BASE_URL=http://localhost:8080
OLLAMA_BASE_URL=http://localhost:11434

# Model routing (prefix with provider/)
MODEL=nvidia_nim/z-ai/glm4.7
MODEL_OPUS=nvidia_nim/moonshotai/kimi-k2.5
MODEL_SONNET=open_router/deepseek/deepseek-r1-0528:free
MODEL_HAIKU=lmstudio/unsloth/GLM-4.7-Flash-GGUF

Provider Configuration

NVIDIA NIM

bash

# In Admin UI or .env
NVIDIA_NIM_API_KEY=nvapi-your-key-here
MODEL=nvidia_nim/z-ai/glm4.7

Popular models:

```
nvidia_nim/z-ai/glm4.7
```
```
nvidia_nim/z-ai/glm5
```
```
nvidia_nim/moonshotai/kimi-k2.5
```
```
nvidia_nim/minimaxai/minimax-m2.5
```

Kimi

bash

KIMI_API_KEY=sk-your-key-here
MODEL=kimi/kimi-k2.5

Wafer

bash

WAFER_API_KEY=sk-your-key-here
MODEL=wafer/DeepSeek-V4-Pro

Popular models:

```
wafer/DeepSeek-V4-Pro
```
```
wafer/MiniMax-M2.7
```
```
wafer/Qwen3.5-397B-A17B
```
```
wafer/GLM-5.1
```

OpenRouter

bash

OPENROUTER_API_KEY=sk-your-key-here
MODEL=open_router/stepfun/step-3.5-flash:free

Browse models at https://openrouter.ai/models

DeepSeek

bash

DEEPSEEK_API_KEY=sk-your-key-here
MODEL=deepseek/deepseek-chat

Uses Anthropic-compatible endpoint, not OpenAI chat completions.

LM Studio

bash

LM_STUDIO_BASE_URL=http://localhost:1234
MODEL=lmstudio/your-model-name

Start LM Studio server and load a model with tool-use support.

llama.cpp

bash

LLAMACPP_BASE_URL=http://localhost:8080
MODEL=llamacpp/your-model

Start

llama-server

with sufficient context:

bash

llama-server --model model.gguf --ctx-size 32768 --port 8080

Ollama

bash

OLLAMA_BASE_URL=http://localhost:11434
MODEL=ollama/llama3.1

Pull and serve model:

bash

ollama pull llama3.1
ollama serve

OpenCode Zen

bash

OPENCODE_API_KEY=sk-your-key-here
MODEL=opencode/gpt-5.3-codex

Popular models:

```
opencode/gpt-5.3-codex
```
```
opencode/claude-sonnet-4
```
```
opencode/deepseek-v4-flash-free
```
(free)
```
opencode/big-pickle
```
(free)

Z.ai

bash

ZAI_API_KEY=sk-your-key-here
MODEL=zai/glm-5.1

Models:

```
zai/glm-5.1
```
```
zai/glm-5-turbo
```

Connecting Claude Code Clients

CLI (Recommended)

bash

fcc-claude

This launcher:

Reads current port and auth token from Admin UI config
Sets
```
ANTHROPIC_BASE_URL
```
and
```
ANTHROPIC_AUTH_TOKEN
```
Launches the real
```
claude
```
command

Keep

fcc-server

running in another terminal.

Manual CLI Setup

bash

export ANTHROPIC_BASE_URL=http://localhost:8082
export ANTHROPIC_AUTH_TOKEN=freecc
export CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY=1
claude

VS Code Extension

Open Settings → search

claude-code.environmentVariables

→ Edit in

settings.json

json

{
  "claudeCode.environmentVariables": [
    { "name": "ANTHROPIC_BASE_URL", "value": "http://localhost:8082" },
    { "name": "ANTHROPIC_AUTH_TOKEN", "value": "freecc" },
    { "name": "CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY", "value": "1" }
  ]
}

Reload VS Code window.

JetBrains ACP

Edit installed ACP config:

Windows:

C:\Users\%USERNAME%\AppData\Roaming\JetBrains\acp-agents\installed.json

Linux/macOS:
```
~/.jetbrains/acp.json
```

Add environment to

acp.registry.claude-acp

json

{
  "env": {
    "ANTHROPIC_BASE_URL": "http://localhost:8082",
    "ANTHROPIC_AUTH_TOKEN": "freecc",
    "CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY": "1"
  }
}

Restart IDE.

Per-Tier Model Routing

Route different Claude Code model tiers to different providers:

bash

# Fallback
MODEL=zai/glm-5.1

# Override specific tiers
MODEL_OPUS=nvidia_nim/moonshotai/kimi-k2.5
MODEL_SONNET=open_router/deepseek/deepseek-r1-0528:free
MODEL_HAIKU=lmstudio/unsloth/GLM-4.7-Flash-GGUF

Leave tier blank to inherit from

MODEL

Model Picker Support

With

CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY=1

, Claude Code's

/model

picker shows models from the proxy's

/v1/models

endpoint.

The proxy returns configured models based on:

Single provider: lists that provider's models
Multiple providers: shows models from all configured providers
Blank
```
MODEL
```
: returns empty list

Example: If you configure

nvidia_nim

and

open_router

, the picker shows models from both.

Code Examples

Python: Direct Proxy Request

python

import os
import requests

url = "http://localhost:8082/v1/messages"
headers = {
    "x-api-key": os.getenv("AUTH_TOKEN", "freecc"),
    "anthropic-version": "2023-06-01",
    "content-type": "application/json"
}
payload = {
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 1024,
    "messages": [
        {"role": "user", "content": "Write a Python hello world"}
    ]
}

response = requests.post(url, json=payload, headers=headers, stream=True)
for line in response.iter_lines():
    if line:
        print(line.decode())

Python: Check Available Models

python

import requests

response = requests.get(
    "http://localhost:8082/v1/models",
    headers={"x-api-key": "freecc"}
)
models = response.json()
for model in models.get("data", []):
    print(f"{model['id']}: {model['name']}")

Shell: Test Proxy Streaming

bash

curl -N http://localhost:8082/v1/messages \
  -H "x-api-key: freecc" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": true
  }'

JavaScript: Use Proxy in Custom Client

javascript

const response = await fetch('http://localhost:8082/v1/messages', {
  method: 'POST',
  headers: {
    'x-api-key': process.env.AUTH_TOKEN || 'freecc',
    'anthropic-version': '2023-06-01',
    'content-type': 'application/json'
  },
  body: JSON.stringify({
    model: 'claude-3-5-sonnet-20241022',
    max_tokens: 1024,
    messages: [{role: 'user', content: 'Explain async/await'}]
  })
});

const data = await response.json();
console.log(data.content[0].text);

Common Workflows

Switch Between Providers

Open Admin UI:
```
http://localhost:8082/admin
```
Update API key for new provider
Change
```
MODEL
```
to new provider prefix (e.g.,
```
kimi/kimi-k2.5
```
)
Click Validate then Apply
Proxy restarts automatically

No need to restart

fcc-claude

— it reads config on each launch.

Use Local Model with Tool Support

bash

# Start LM Studio with a tool-capable model
# In Admin UI:
LM_STUDIO_BASE_URL=http://localhost:1234
MODEL=lmstudio/deepseek-coder-6.7b-instruct

# Or for llama.cpp:
llama-server --model deepseek-coder-6.7b-instruct.Q4_K_M.gguf \
  --ctx-size 16384 --port 8080

LLAMACPP_BASE_URL=http://localhost:8080
MODEL=llamacpp/deepseek-coder-6.7b-instruct

Mix Free and Paid Models

bash

# Free tier for Haiku
MODEL_HAIKU=open_router/deepseek/deepseek-r1-0528:free

# Paid NVIDIA NIM for Opus
MODEL_OPUS=nvidia_nim/moonshotai/kimi-k2.5

# Fallback to free OpenCode
MODEL=opencode/big-pickle

Debug Proxy Requests

Set log level in Admin UI or

.env

bash

LOG_LEVEL=DEBUG

Restart proxy to see full request/response logs.

Troubleshooting

Proxy returns 401 Unauthorized

Check
```
AUTH_TOKEN
```
matches in proxy and client
Verify
```
ANTHROPIC_AUTH_TOKEN
```
env var in Claude Code client
Admin UI shows current
```
AUTH_TOKEN
```
value

Claude Code says "Invalid API key"

Ensure provider API key is set correctly in Admin UI
Click Validate to test the key
Check provider dashboard for key status

Local model returns HTTP 400

For llama.cpp/LM Studio:

Increase
```
--ctx-size
```
for llama.cpp
Verify model supports tool use
Check server logs for context length errors
Try a smaller conversation history

Model picker shows no models

Verify

CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY=1

is set

Check that at least one provider is configured with valid credentials
Visit
```
http://localhost:8082/v1/models
```
to see raw response

VS Code extension doesn't use proxy

Reload VS Code window after changing
```
settings.json
```
Check Output panel → Claude Code for environment variable logs
Verify
```
claudeCode.environmentVariables
```
syntax is correct JSON array

Admin UI changes don't apply

Click Apply after Validate
Proxy auto-restarts on runtime setting changes
Check terminal for restart confirmation message

Port 8082 already in use

Change port in Admin UI or

.env

bash

PORT=8083

Restart proxy and update client

ANTHROPIC_BASE_URL

accordingly.

llama.cpp/Ollama not found

Verify server is running:

curl http://localhost:8080/health

(llama.cpp) or

curl http://localhost:11434

(Ollama)

Check
```
*_BASE_URL
```
doesn't include
```
/v1
```
suffix for Ollama
Ensure firewall allows localhost connections

Advanced Features

Discord Bot Integration

bash

# In Admin UI or .env
MESSAGING_PLATFORM=discord
DISCORD_BOT_TOKEN=your-bot-token
ALLOWED_DISCORD_CHANNELS=123456789,987654321
CLAUDE_WORKSPACE=./agent_workspace

Start bot:

bash

fcc-bot

Voice Transcription

bash

# Local Whisper
VOICE_PROVIDER=whisper
WHISPER_MODEL=base

# Or NVIDIA NIM
VOICE_PROVIDER=nvidia_nim
NVIDIA_NIM_API_KEY=nvapi-xxx

Health Check Endpoint

bash

curl http://localhost:8082/health

Returns proxy status and configured provider.

Request Optimization

The proxy automatically:

Strips unsupported parameters for local models
Converts thinking blocks for providers without native support
Handles streaming SSE format differences
Retries with fallback models on provider errors

Development

Clone and install for development:

bash

git clone https://github.com/Alishahryar1/free-claude-code.git
cd free-claude-code
uv sync
uv run pytest

Run from source:

bash

uv run fcc-server

The project uses:

```
uv
```
for dependency management
```
pytest
```
for testing
```
ruff
```
for linting/formatting
```
loguru
```
for logging
```
ty
```
for type checking

free-claude-code-proxy

NPX Install

Tags

SKILL.md Content

free-claude-code-proxy

Installation

Prerequisites

Install Claude Code

Install Free Claude Code Proxy

Starting the Proxy

Admin UI Configuration

Quick Setup: NVIDIA NIM

Environment Variables

Provider Configuration

NVIDIA NIM

Kimi

Wafer

OpenRouter

DeepSeek

LM Studio

llama.cpp

Ollama

OpenCode Zen

Z.ai

Connecting Claude Code Clients

CLI (Recommended)

Manual CLI Setup

VS Code Extension

JetBrains ACP

Per-Tier Model Routing

Model Picker Support

Code Examples

Python: Direct Proxy Request

Python: Check Available Models

Shell: Test Proxy Streaming

JavaScript: Use Proxy in Custom Client

Common Workflows

Switch Between Providers

Use Local Model with Tool Support

Mix Free and Paid Models

Debug Proxy Requests

Troubleshooting

Proxy returns 401 Unauthorized

Claude Code says "Invalid API key"

Local model returns HTTP 400

Model picker shows no models

VS Code extension doesn't use proxy

Admin UI changes don't apply

Port 8082 already in use

llama.cpp/Ollama not found

Advanced Features

Discord Bot Integration

Voice Transcription

Health Check Endpoint

Request Optimization

Development