Web2API

Web-to-OpenAI-compatible API reverse proxy for FreeModels.Pro. Bridge web chat interfaces into a universal OpenAI API gateway with Agent Tool Calling, Prompt Coercion, and Reasoning Traces across Claude Code, Codex, Cursor, Antigravity and more.

Overview • Features • Quick Start • Models • Clients • Architecture • Guides • Disclaimer • License

What is Web2API?
Key Features
Quick Start
- Method 1: Local Daemon (NPX / NPM)
- Method 2: Cloudflare Workers (Serverless)
Model Catalog & Aliases
- Underlying Model Reality (Nemotron-3 Super 120B)
Client Integration
Architecture & Structure
Advanced Guides
Development & Testing
- Continuous Integration (CI)
Disclaimer & Legal Notice
License

What is Web2API?

Web chat platforms (such as FreeModels.Pro) provide free access to high-end frontier models like Claude Sonnet 5, Claude Fable 5, GPT 5.6 Sol, GPT 5.6 Terra, GLM 5.2, and Kimi K3. However, these platforms do not offer developer APIs or standard OAuth client credentials.

Modern coding agents like Claude Code, Codex, Cursor, Antigravity, OpenCode, etc require an OpenAI-compatible API exposing /v1/chat/completions with support for structured JSON tool/function calling.

Web2API bridges this gap:

It acts as an intermediary reverse proxy that intercepts requests from coding agents, translates tool specifications into strict plain-text system directives, and forwards requests to the target web backend (https://freemodels-chat.freemodels.workers.dev/).
It parses and sanitizes raw model output, stripping markdown code fences (```json ... ```) and conversational preambles to reliably construct OpenAI tool_calls payloads.
It supports full Server-Sent Events (SSE) streaming with real-time text delivery, reasoning_content (thinking trace) forwarding, and smart tool buffering.
It features a dual-runtime architecture: run locally as a zero-dependency Node.js Daemon (http://localhost:8000) or deploy as a standalone Cloudflare Worker (worker.js).

Disclaimer: This tool is provided strictly for personal educational and interoperability testing purposes. See Disclaimer & Legal Notice.

Key Features

Unlock Free Web Models for Agents: Access claude-sonnet-5, claude-fable-5, sol (GPT 5.6 Sol), terra (GPT 5.6 Terra), glm-5.2, and kimi-k3 directly from coding agents.
Dual Operational Modes:
- Local Daemon: Runs on http://localhost:8000 via @hono/node-server with instant NPX execution or global CLI install.
- Cloudflare Worker: Standalone 82 KB bundle (worker.js) ready for copy-paste into the Cloudflare Dashboard or deployment via Wrangler.
Smart Tool Coercion: Converts OpenAI tools definitions into strict system instructions, enforcing pure JSON output across web models that lack native function-calling APIs.
Resilient JSON Extractor: Strips markdown fences, extracts outer {...} or [...] blocks via balanced-brace parsing, and repairs unescaped newlines in diffs.
Streaming SSE with Reasoning Delta: Preserves thinking traces in delta.reasoning_content for real-time rendering in assistants like MiMoCode and Cline.
Upstream Error Normalization: Detects 429 key exhaustion responses (All providers exhausted. Retry in 20s...) and wraps them in OpenAI-standard error envelopes with Retry-After headers.
Safe & Resource-Bounded:
- Client disconnect cancellation via AbortSignal.
- Browser header emulation (Origin, Referer, User-Agent) to prevent upstream filtering.

Quick Start

Method 1: Local Daemon (NPX / NPM)

Option A: Run Instantly with NPX (Zero Install)

Run the local proxy daemon immediately with no clone or install needed:

npx web2api-proxy

Or with custom port and API key:

npx web2api-proxy start --port 8080 --key sk-my-secret

Test upstream connectivity and models:

npx web2api-proxy check

Option B: Global CLI Installation

Install globally to make the web2api command available anywhere on your system:

npm install -g web2api-proxy

Then run:

web2api start
web2api check
web2api --help

CLI Options & Flags

Flag	Shorthand	Environment Variable	Default	Description
`--port`	`-p`	`PORT`	`8000`	Port for the local server
`--host`		`HOST`	`127.0.0.1`	Host address to bind to
`--key`	`-k`	`API_KEY`	(None)	Require Bearer API key authentication
`--upstream`	`-u`	`UPSTREAM_URL`	`https://freemodels-chat...`	Target web chat backend URL
`--model`	`-m`	`DEFAULT_MODEL`	`claude-sonnet-5`	Default model fallback
`--help`	`-h`			Show CLI help and options
`--version`	`-v`			Show installed version

Option C: Clone and Run from Source

git clone https://github.com/IMROVOID/Web2API.git
cd Web2API
npm install
npm run dev

Your local endpoint is available at http://localhost:8000/v1. Default API key for all clients is sk-web2api-local (or any string when API_KEY is not set).

Method 2: Cloudflare Workers (Serverless)

Deploy a 24/7 serverless gateway without keeping your computer running.

Step 1: Build the Worker Bundle (Optional)

npm run build

This compiles the standalone zero-dependency bundle to worker.js in the project root.

Step 2: Create Worker in Cloudflare Dashboard (Primary Method)

Log into the Cloudflare Dashboard.
Go to Workers & Pages -> Create application -> Create Worker.
Set the name to web2api and click Deploy.
Click Edit code, select all existing code, delete it, and paste the entire copied contents of worker.js.
Click Deploy in the top right.

Step 3: Add Variables & Secrets (Optional)

In your Worker, go to Settings -> Variables and Secrets and add:

Variable	Type	Required	Default	Description
`API_KEY`	Secret	Optional	(None)	Client authorization bearer key (e.g. `sk-web2api-local`). If unset, access is open.
`UPSTREAM_URL`	Text	Optional	`https://freemodels-chat.freemodels.workers.dev`	Upstream web chat backend endpoint
`DEFAULT_MODEL`	Text	Optional	`claude-sonnet-5`	Default model when unspecified

Click Save and deploy.

Your Cloudflare Worker API URL:

https://web2api.<your-subdomain>.workers.dev/v1

Alternative: Deploy via Wrangler CLI

If you prefer deploying via the command line:

npx wrangler deploy

Model Catalog & Aliases

Web2API automatically maps requested model aliases to canonical upstream models:

Request Model Alias	Canonical Upstream Model	Provider	Strengths	Type
`claude-sonnet-5`, `claude-3-5-sonnet`, `claude-3-sonnet`, `claude-3-opus`	`claude-sonnet-5`	Anthropic	Thinking, Coding, Analysis	Reasoning
`sol`, `gpt-4o-mini`, `claude-3-5-haiku`	`sol`	OpenAI	High Speed, Conversational	Fast
`terra`, `gpt-4o`, `gpt-4`	`terra`	OpenAI	Deep Reasoning, Math, Science	Reasoning
`claude-fable-5`	`claude-fable-5`	Anthropic	Creative Writing, Long Form	Creative
`claude-fable-5.1`	`claude-fable-5.1`	Anthropic	Agentic Coding, Deep Research	Creative
`glm-5.2`, `glm-4`	`glm-5.2`	Z.AI	Bilingual, Tools, Knowledge	Pro
`kimi-k3`, `kimi`	`kimi-k3`	Moonshot AI	200K+ Context Window, Recall	Long Context

Underlying Model Reality (Nemotron-3 Super 120B)

Note

Architecture Reality Check: While FreeModels.Pro labels its chat options with names like "Claude Sonnet 5", "Claude Fable 5", "GPT 5.6 Sol", "GPT 5.6 Terra", "GLM 5.2", and "Kimi K3", network analysis and response inspection confirm that all requests are actually served by a single open-weights model: nvidia/nemotron-3-super-120b-a12b (hosted via Nvidia NIM / DashScope provider pools).

What Does This Mean?

Persona Conditioning: The upstream Cloudflare Worker injects system personas instructing the Nemotron model to roleplay as the requested target model. This can be observed directly in the reasoning_content (thinking trace) chunks where the model references its persona instructions.
Still Completely Usable & Capable: Despite the marketing names, the service is still completely usable and surprisingly capable. With ~120 billion parameters, nemotron-3-super-120b-a12b is a high-parameter open-weights reasoning model that delivers:
- Strong code generation, refactoring, and multi-step logic.
- Native reasoning/thinking traces (reasoning_content) for transparent chain-of-thought.
- High inference throughput and low latency.
Web2API Bridging: Web2API makes this backend fully compatible with coding agents (MiMoCode, Aider, Claude Code, Cline, Cursor) by handling prompt coercion and JSON extraction so tool calling works reliably regardless of the underlying roleplay persona.

More Info: Full Reverse Engineering & Model Reality Analysis →

Client Integration

Note: For all clients below, replace http://localhost:8000/v1 with your Cloudflare Worker URL (https://web2api.<your-subdomain>.workers.dev/v1) if using serverless deployment. The default API key is sk-web2api-local.

9Router

Configuration file path:

~/.9router/db.json

Or configure via Web Dashboard under Providers -> Add Custom Provider:

Provider Type: openai
Base URL: http://localhost:8000/v1
API Key: sk-web2api-local
Models: claude-sonnet-5, terra, sol, glm-5.2, kimi-k3

Configuration entry for ~/.9router/db.json:

{
  "providers": [
    {
      "id": "web2api",
      "name": "Web2API",
      "type": "openai",
      "baseUrl": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "models": [
        "claude-sonnet-5",
        "terra",
        "sol",
        "glm-5.2",
        "kimi-k3"
      ]
    }
  ]
}

Aider

Configuration file path:

.aider.conf.yml

Add configuration:

openai-api-base: http://localhost:8000/v1
openai-api-key: sk-web2api-local
model: openai/claude-sonnet-5

Or run via CLI:

aider --openai-api-base http://localhost:8000/v1 \
      --openai-api-key sk-web2api-local \
      --model openai/claude-sonnet-5

Antigravity (AGY)

Configuration file path:

~/.gemini/antigravity/antigravity.json

Add configuration:

{
  "modelProviders": {
    "web2api": {
      "type": "openai",
      "baseUrl": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "defaultModel": "claude-sonnet-5"
    }
  }
}

Cherry Studio

Configuration file path:

~/.cherry-studio/config.json

Or configure via UI in Settings -> Providers -> OpenAI:

Custom Server Address: http://localhost:8000/v1
API Key: sk-web2api-local
Models: claude-sonnet-5, terra, sol, glm-5.2, kimi-k3

Claude Code

Configuration file path (Global):

~/.claude/settings.json

Configuration file path (Project-level):

.claude/settings.json

Add configuration:

{
  "env": {
    "OPENAI_BASE_URL": "http://localhost:8000/v1",
    "OPENAI_API_KEY": "sk-web2api-local",
    "ANTHROPIC_MODEL": "claude-sonnet-5"
  }
}

Then run:

claude

Cline

Configuration file path:

.vscode/settings.json

Add configuration:

{
  "cline.apiProvider": "openai-compatible",
  "cline.openAiBaseUrl": "http://localhost:8000/v1",
  "cline.openAiApiKey": "sk-web2api-local",
  "cline.openAiModelId": "claude-sonnet-5"
}

Codex

Configuration file path:

~/.codex/config.toml

Add configuration:

[model]
provider = "openai"
base_url = "http://localhost:8000/v1"
api_key = "sk-web2api-local"
model_name = "claude-sonnet-5"

Continue.dev

Configuration file path:

~/.continue/config.json

Add configuration:

{
  "models": [
    {
      "title": "Claude Sonnet 5 (Web2API)",
      "provider": "openai",
      "model": "claude-sonnet-5",
      "apiBase": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local"
    },
    {
      "title": "GPT 5.6 Terra (Web2API)",
      "provider": "openai",
      "model": "terra",
      "apiBase": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local"
    }
  ]
}

Cursor

Configuration file path (Global):

~/.cursor/User/settings.json

Configuration file path (Project-level):

.vscode/settings.json

Add configuration:

{
  "cursor.openaiBaseUrl": "http://localhost:8000/v1",
  "cursor.openaiApiKey": "sk-web2api-local",
  "cursor.model": "claude-sonnet-5"
}

Or configure in Cursor Settings -> Models:

Toggle Override OpenAI Base URL: http://localhost:8000/v1
Set OpenAI API Key: sk-web2api-local
Add model: claude-sonnet-5

DeepSeek Harness

Configuration file path:

agent.yaml

Add configuration:

llm:
  api_type: openai
  base_url: "http://localhost:8000/v1"
  api_key: "sk-web2api-local"
  model: "claude-sonnet-5"
  temperature: 0.7

Hermes

Configuration file path:

~/.hermes/config.json

Add configuration:

{
  "llm": {
    "provider": "openai",
    "baseUrl": "http://localhost:8000/v1",
    "apiKey": "sk-web2api-local",
    "model": "claude-sonnet-5"
  }
}

LibreChat

Configuration file path:

librechat.yaml

Add configuration:

endpoints:
  custom:
    - name: "Web2API"
      apiKey: "sk-web2api-local"
      baseURL: "http://localhost:8000/v1"
      models:
        default: ["claude-sonnet-5", "terra", "sol", "glm-5.2", "kimi-k3"]
      titleConvo: true
      modelDisplayLabel: "Web2API"

MiMo Code CLI

Configuration file path (Linux / macOS):

~/.local/share/mimocode/mimocode.jsonc

Configuration file path (Windows):

%LOCALAPPDATA%\mimocode\data\mimocode.jsonc

Add configuration:

{
  "providers": {
    "web2api": {
      "type": "openai-compatible",
      "baseUrl": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "models": [
        "claude-sonnet-5",
        "terra",
        "sol",
        "glm-5.2",
        "kimi-k3"
      ]
    }
  },
  "default_model": "web2api/claude-sonnet-5"
}

Or run mimo, select Custom Provider, and set:

Base URL: http://localhost:8000/v1
API Key: sk-web2api-local
Model: claude-sonnet-5

NextChat (ChatGPT-Next-Web)

Configuration file path:

.env.local

Add configuration:

BASE_URL=http://localhost:8000
OPENAI_API_KEY=sk-web2api-local
CUSTOM_MODELS=-all,+claude-sonnet-5,+terra,+sol,+glm-5.2,+kimi-k3

OmniRoute

Configuration file path:

~/.omniroute/providers.json

Add configuration via CLI:

omniroute provider add --id web2api --type openai --base-url http://localhost:8000/v1 --api-key sk-web2api-local --models claude-sonnet-5,terra,sol,glm-5.2,kimi-k3

Or add configuration to ~/.omniroute/providers.json:

{
  "providers": [
    {
      "id": "web2api",
      "name": "Web2API Gateway",
      "type": "openai-compatible",
      "baseUrl": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "models": [
        "claude-sonnet-5",
        "terra",
        "sol",
        "glm-5.2",
        "kimi-k3"
      ]
    }
  ]
}

OpenAI Compatible (Generic / SDKs)

Configuration file path:

.env

Add environment configuration:

OPENAI_BASE_URL="http://localhost:8000/v1"
OPENAI_API_KEY="sk-web2api-local"

Python SDK example:

from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:8000/v1",
    api_key="sk-web2api-local"
)

response = client.chat.completions.create(
    model="claude-sonnet-5",
    messages=[{"role": "user", "content": "Write quicksort in Python."}],
    stream=True
)

for chunk in response:
    content = chunk.choices[0].delta.content or ""
    print(content, end="", flush=True)

Node.js SDK example:

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "http://localhost:8000/v1",
  apiKey: "sk-web2api-local",
});

const response = await client.chat.completions.create({
  model: "claude-sonnet-5",
  messages: [{ role: "user", content: "Write quicksort in TypeScript." }],
});

console.log(response.choices[0].message.content);

cURL command:

curl -X POST http://localhost:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-web2api-local" \
  -d '{"model":"claude-sonnet-5","messages":[{"role":"user","content":"Hello!"}]}'

OpenClaw

Configuration file path:

openclaw.json

Add configuration:

{
  "providers": {
    "web2api": {
      "type": "openai-compatible",
      "baseURL": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "models": [
        "claude-sonnet-5",
        "terra",
        "sol",
        "glm-5.2",
        "kimi-k3"
      ]
    }
  }
}

OpenCode

Configuration file path (Linux / macOS):

~/.local/share/opencode/opencode.jsonc

Configuration file path (Project-level):

opencode.jsonc

Add configuration:

{
  "providers": {
    "web2api": {
      "type": "openai-compatible",
      "baseUrl": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "models": [
        "claude-sonnet-5",
        "terra",
        "sol",
        "glm-5.2",
        "kimi-k3"
      ]
    }
  },
  "default_model": "web2api/claude-sonnet-5"
}

OpenHands (OpenDevin)

Configuration file path:

config.toml

Add configuration:

[llm]
model = "openai/claude-sonnet-5"
base_url = "http://localhost:8000/v1"
api_key = "sk-web2api-local"

Roo Code

Configuration file path:

.vscode/settings.json

Add configuration:

{
  "roo-cline.apiProvider": "openai-compatible",
  "roo-cline.openAiBaseUrl": "http://localhost:8000/v1",
  "roo-cline.openAiApiKey": "sk-web2api-local",
  "roo-cline.openAiModelId": "claude-sonnet-5"
}

Trae (ByteDance Agentic IDE)

Configuration file path:

~/.trae/config.json

Add configuration:

{
  "modelProviders": [
    {
      "name": "Web2API",
      "apiType": "openai",
      "endpoint": "http://localhost:8000/v1",
      "apiKey": "sk-web2api-local",
      "models": [
        "claude-sonnet-5",
        "terra",
        "sol",
        "glm-5.2",
        "kimi-k3"
      ]
    }
  ]
}

Windsurf

Configuration file path:

~/.codeium/windsurf/model_config.json

Add configuration:

{
  "customOpenAI": {
    "endpoint": "http://localhost:8000/v1",
    "apiKey": "sk-web2api-local",
    "model": "claude-sonnet-5"
  }
}

Architecture & Structure

Web2API/
├── .github/
│   └── workflows/
│       └── test.yml             # Automated CI test & typecheck workflow
├── src/
│   ├── types.ts                 # OpenAI schemas, upstream contracts, model definitions
│   ├── config.ts                # Model catalog, aliases, browser headers, defaults
│   ├── services/
│   │   ├── prompt-coercer.ts    # Transforms tools into strict JSON system directives
│   │   ├── json-extractor.ts    # Strips markdown fences, parses JSON, formats tool_calls
│   │   ├── upstream-client.ts   # HTTP client with browser headers and error parsing
│   │   └── stream-transformer.ts# Real-time SSE transformer with reasoning_content
│   ├── routes/
│   │   ├── chat.ts              # /v1/chat/completions handler (streaming & tool calls)
│   │   ├── models.ts            # /v1/models catalog handler
│   │   └── health.ts            # /health service status endpoint
│   ├── index.ts                 # Universal Hono application instance (CORS & routes)
│   └── server.ts                # Local Node.js server launcher (@hono/node-server)
├── worker.js                    # Standalone Cloudflare Workers bundle (82 KB)
├── dist/
│   └── server.js                # Standalone Node.js server bundle (102 KB)
├── docs/
│   ├── Underlying_Model_Reality.md        # Nemotron-3 120B reality & trace evidence
│   ├── Freemodels_Reverse_Engineering.md  # Upstream architecture analysis
│   ├── Web2API_MVP_Architecture.md        # Technical architecture spec
│   └── Web2API_Proxy.md                   # Original design guide
├── tests/                       # 18 automated unit and integration tests
├── public/
│   └── Web2API_Banner.webp      # Repository header banner
├── wrangler.toml                # Cloudflare Workers configuration
├── package.json                 # Dependencies and build scripts
└── tsconfig.json                # Strict TypeScript configuration

Advanced Guides

Prompt Coercion & Tool Calling

Because web frontends lack native tool_choice or function calling APIs, Web2API coerces tools into an explicit JSON contract:

Schema Injection: Injects tool parameters and format rules into the message context:
```
{
  "name": "tool_name",
  "arguments": { ... }
}
```
Negative Prompting: Instructs the model to emit only valid JSON without markdown code fences (```json), conversational greetings, or postscripts.
History Normalization: Serializes previous assistant tool calls and formats tool result messages so the model maintains multi-turn reasoning context.

Resilient JSON Extractor & Sanitizer

To handle non-compliant model outputs:

Fence Removal: Regex stripping of json ....
Balanced-Brace Matching: Scans for outermost {...} or [...] structures.
Repair Pipeline: Fixes unescaped newlines in diffs and strips trailing commas before } or ].
Validation: Confirms presence of name and arguments, constructing standard OpenAI tool_calls payloads with unique identifiers (call_...).

429 Quota Exhaustion & Rate Limits

The upstream backend aggregates API keys from Nvidia NIM and DashScope. When keys run out of quota:

Upstream returns: {"error": "All providers exhausted. Retry in 20s..."}

Web2API parses the duration, sets the Retry-After: 20 header, and wraps the error in an OpenAI standard format:

{
  "error": {
    "message": "All providers exhausted. Retry in 20s...",
    "type": "rate_limit_error",
    "code": 429
  }
}

Environment Variables

Variable	Mode	Default	Description
`PORT`	Local	`8000`	Local HTTP daemon port
`API_KEY`	Both	(None / sk-web2api-local)	Optional client authorization bearer token. If unset, access is open.
`UPSTREAM_URL`	Both	`https://freemodels-chat.freemodels.workers.dev`	Upstream web chat backend endpoint
`DEFAULT_MODEL`	Both	`claude-sonnet-5`	Default model when unspecified

Development & Testing

Run TypeScript typecheck:

npm run typecheck

Run automated test suite:

npm test

Build standalone bundles:

npm run build

Continuous Integration (CI)

Web2API includes a GitHub Actions pipeline (.github/workflows/test.yml) that automatically runs on every push and pull_request to main:

Typechecking (npm run typecheck)
Full test suite execution (npm test)
Bundle build verification (npm run build)

Skipping Tests on Commit

To skip automated tests on documentation or non-functional commits, include any of the following tags in your commit message:

[skip test] or [skip tests]
[skip ci] or [ci skip]

git commit -m "docs: update README [skip test]"

Disclaimer & Legal Notice

IMPORTANT: Please read this notice carefully before using or deploying Web2API.

Educational & Research Purposes Only: This project is developed and distributed exclusively for personal educational, research, and non-commercial API interoperability testing purposes.
Risk of Upstream Changes: Web chat interfaces and reverse-engineered endpoints may change, become rate-limited, or terminate service at any time without warning.
No Warranty & No Guarantee: The author and contributors make no claims, promises, or guarantees regarding the safety, status, or longevity of upstream access. This software is provided "AS IS", without warranty of any kind, express or implied.
Assumption of Risk: You assume full and sole responsibility for any outcomes or damages resulting from using this software. Use strictly at your own risk.
Trademark Attribution: All product names, logos, and brands (such as "Anthropic", "Claude", "OpenAI", "ChatGPT", "Xiaomi", "MiMoCode") are trademarks or registered trademarks of their respective owners. Web2API is an independent open-source project and is neither affiliated with, maintained by, nor endorsed by any of these entities.

License

This project is licensed under the GNU General Public License v3.0 (GPLv3). See the LICENSE file for details.

Navigation Menu

Repository files navigation

Web2API

Table of Contents

What is Web2API?

Key Features

Quick Start

Method 1: Local Daemon (NPX / NPM)

Option A: Run Instantly with NPX (Zero Install)

Option B: Global CLI Installation

CLI Options & Flags

Option C: Clone and Run from Source

Method 2: Cloudflare Workers (Serverless)

Step 1: Build the Worker Bundle (Optional)

Step 2: Create Worker in Cloudflare Dashboard (Primary Method)

Step 3: Add Variables & Secrets (Optional)

Alternative: Deploy via Wrangler CLI

Model Catalog & Aliases

Underlying Model Reality (Nemotron-3 Super 120B)

What Does This Mean?

Client Integration

Architecture & Structure

Advanced Guides

Prompt Coercion & Tool Calling

Resilient JSON Extractor & Sanitizer

429 Quota Exhaustion & Rate Limits

Environment Variables

Development & Testing

Continuous Integration (CI)

Skipping Tests on Commit

Disclaimer & Legal Notice

License

About

Releases

Packages

Contributors

Languages

Name		Name	Last commit message	Last commit date
.github/workflows		.github/workflows
docs		docs
public		public
scripts		scripts
src		src
tests		tests
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
package-lock.json		package-lock.json
package.json		package.json
tsconfig.json		tsconfig.json
worker.js		worker.js
wrangler.toml		wrangler.toml

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Web2API

Table of Contents

What is Web2API?

Key Features

Quick Start

Method 1: Local Daemon (NPX / NPM)

Option A: Run Instantly with NPX (Zero Install)

Option B: Global CLI Installation

CLI Options & Flags

Option C: Clone and Run from Source

Method 2: Cloudflare Workers (Serverless)

Step 1: Build the Worker Bundle (Optional)

Step 2: Create Worker in Cloudflare Dashboard (Primary Method)

Step 3: Add Variables & Secrets (Optional)

Alternative: Deploy via Wrangler CLI

Model Catalog & Aliases

Underlying Model Reality (Nemotron-3 Super 120B)

What Does This Mean?

Client Integration

Architecture & Structure

Advanced Guides

Prompt Coercion & Tool Calling

Resilient JSON Extractor & Sanitizer

429 Quota Exhaustion & Rate Limits

Environment Variables

Development & Testing

Continuous Integration (CI)

Skipping Tests on Commit

Disclaimer & Legal Notice

License

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