Pengganti langsung
KompatibelBerfungsi dengan SDK OpenAI dan Anthropic. Cukup ganti base URL.
Dokumentasi API
API Shannon
API AI kompatibel OpenAI & Anthropic dengan function calling, pencarian web, dan output terstruktur.
Shannon AI API Documentation
Ringkasan
Dokumen publikSemua yang Anda butuhkan untuk rilis dengan API kompatibel OpenAI dan Anthropic dari Shannon.
https://api.shannon-ai.com/v1/chat/completions Gunakan Chat Completions API dengan function calling dan streaming.
https://api.shannon-ai.com/v1/messages Format Claude Messages dengan tools dan header anthropic-version.
Otorisasi: Bearer <kunci-anda> Atau gunakan X-API-Key dengan anthropic-version untuk panggilan gaya Claude.
Public docs - Key required to call Streaming, function calling, output terstruktur, dan pencarian web.
Checklist peluncuran
- + SetupArahkan SDK Anda ke ShannonSet baseURL ke endpoint OpenAI atau Anthropic di atas.
- + SecurityTambahkan API key AndaGunakan Bearer untuk OpenAI atau X-API-Key + anthropic-version.
- + KemampuanAktifkan tools dan output terstrukturMendukung OpenAI tools/functions, JSON schema, dan web_search bawaan.
- + AnalyticsPantau penggunaanLihat konsumsi token dan pencarian di halaman ini saat Anda login.
Kemampuan
OpenAI + AnthropicPengganti langsung untuk API OpenAI dan Anthropic dengan dukungan bawaan untuk tools, output terstruktur, dan pencarian web.
Pemanggilan fungsi
AlatTentukan alat, biarkan Shannon memanggilnya. Mendukung mode auto, paksa, dan none.
Pencarian web bawaan
PencarianPencarian web real‑time dengan sitasi sumber. Tersedia otomatis.
Output terstruktur
JSONMode JSON dan penegakan JSON Schema untuk ekstraksi data yang andal.
Alat multi‑putaran
AgentikLoop eksekusi fungsi otomatis. Hingga 10 iterasi per permintaan.
Streaming
CepatServer‑sent events untuk streaming token secara real‑time.
Mulai cepat
5 menitMulai dalam tiga langkah. Shannon mencerminkan klien OpenAI dan Anthropic.
1
Atur base URL Anda
Gunakan endpoint yang kompatibel dengan OpenAI.
https://api.shannon-ai.com/v1/chat/completions 2
Tambahkan kunci API Anda
Gunakan autentikasi Bearer di header Authorization.
3
Kirim pesan pertama Anda
Pilih bahasa dan ganti dengan kunci Anda.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com/v1"
)
response = client.chat.completions.create(
model="shannon-1.6-lite",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, Shannon!"}
],
max_tokens=1024
)
print(response.choices[0].message.content) JavaScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.shannon-ai.com/v1'
});
const response = await client.chat.completions.create({
model: 'shannon-1.6-lite',
messages: [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Hello, Shannon!' }
],
max_tokens: 1024
});
console.log(response.choices[0].message.content); Go
package main
import (
"context"
"fmt"
openai "github.com/sashabaranov/go-openai"
)
func main() {
config := openai.DefaultConfig("YOUR_API_KEY")
config.BaseURL = "https://api.shannon-ai.com/v1"
client := openai.NewClientWithConfig(config)
resp, err := client.CreateChatCompletion(
context.Background(),
openai.ChatCompletionRequest{
Model: "shannon-1.6-lite",
Messages: []openai.ChatCompletionMessage{
{Role: "system", Content: "You are a helpful assistant."},
{Role: "user", Content: "Hello, Shannon!"},
},
MaxTokens: 1024,
},
)
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
} cURL
curl -X POST "https://api.shannon-ai.com/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "shannon-1.6-lite",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, Shannon!"}
],
"max_tokens": 1024
}'Format respons
Respons berhasil
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1234567890,
"model": "Shannon 1.6 Lite",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! I'm Shannon, your AI assistant. How can I help you today?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 25,
"completion_tokens": 18,
"total_tokens": 43
}
}Playground API
BaruUji API Shannon langsung di browser Anda. Buat permintaan, jalankan, dan lihat respons secara real‑time.
1
Chat, Responses, Messages
Switch across OpenAI Chat Completions, Responses, and Anthropic Messages without leaving the playground.
2
Stream live output
Run real requests, inspect raw JSON, and view stream events from the same operator console.
3
Reuse your key
Signed-in users can pull their Shannon API key straight into the dedicated playground workspace.
/id/docs/playground The playground now lives on its own route so the API docs stay Astro-rendered while the request builder remains an explicitly interactive client tool.
Autentikasi
Semua permintaan API memerlukan autentikasi menggunakan API key Shannon Anda.
OpenAI Format (Recommended)
HTTP
Authorization: Bearer YOUR_API_KEYFormat Anthropic
HTTP
X-API-Key: YOUR_API_KEY
anthropic-version: 2023-06-01Model
Shannon menawarkan beberapa model yang dioptimalkan untuk berbagai use case.
shannon-1.6-lite Shannon 1.6 Lite Fast, efficient responses for everyday tasks
shannon-1.6-pro Shannon 1.6 Pro Advanced reasoning for complex problems
shannon-2-lite Shannon 2 Lite
shannon-2-pro Shannon 2 Pro
shannon-coder-1 Shannon Coder Optimized for Claude Code CLI with call-based quota
Call-based quota
Pemanggilan fungsi
Define tools that Shannon can call to perform actions or retrieve information.
Python
from openai import OpenAI
import json
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com/v1"
)
# Define available tools/functions
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "City name, e.g., 'Tokyo'"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
}
]
response = client.chat.completions.create(
model="shannon-1.6-lite",
messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
tools=tools,
tool_choice="auto"
)
# Check if model wants to call a function
if response.choices[0].message.tool_calls:
tool_call = response.choices[0].message.tool_calls[0]
print(f"Function: {tool_call.function.name}")
print(f"Arguments: {tool_call.function.arguments}") JavaScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.shannon-ai.com/v1'
});
const tools = [
{
type: 'function',
function: {
name: 'get_weather',
description: 'Get current weather for a location',
parameters: {
type: 'object',
properties: {
location: { type: 'string', description: "City name" },
unit: { type: 'string', enum: ['celsius', 'fahrenheit'] }
},
required: ['location']
}
}
}
];
const response = await client.chat.completions.create({
model: 'shannon-1.6-lite',
messages: [{ role: 'user', content: "What's the weather in Tokyo?" }],
tools,
tool_choice: 'auto'
});
if (response.choices[0].message.tool_calls) {
const toolCall = response.choices[0].message.tool_calls[0];
console.log('Function:', toolCall.function.name);
console.log('Arguments:', toolCall.function.arguments);
}Opsi pemilihan alat
Respons pemanggilan fungsi
When model calls a function
{
"id": "chatcmpl-xyz",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": null,
"tool_calls": [
{
"id": "call_abc123",
"type": "function",
"function": {
"name": "get_weather",
"arguments": "{\"location\": \"Tokyo\", \"unit\": \"celsius\"}"
}
}
]
},
"finish_reason": "tool_calls"
}
]
}Output Terstruktur
Force Shannon to respond with valid JSON that matches your schema.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com/v1"
)
# Force JSON output with schema
response = client.chat.completions.create(
model="shannon-1.6-lite",
messages=[
{"role": "user", "content": "Extract: John Doe, 30 years old, engineer"}
],
response_format={
"type": "json_schema",
"json_schema": {
"name": "person_info",
"schema": {
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"},
"occupation": {"type": "string"}
},
"required": ["name", "age", "occupation"]
}
}
}
)
import json
data = json.loads(response.choices[0].message.content)
print(data) # {"name": "John Doe", "age": 30, "occupation": "engineer"} JavaScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.shannon-ai.com/v1'
});
const response = await client.chat.completions.create({
model: 'shannon-1.6-lite',
messages: [
{ role: 'user', content: 'Extract: John Doe, 30 years old, engineer' }
],
response_format: {
type: 'json_schema',
json_schema: {
name: 'person_info',
schema: {
type: 'object',
properties: {
name: { type: 'string' },
age: { type: 'integer' },
occupation: { type: 'string' }
},
required: ['name', 'age', 'occupation']
}
}
}
});
const data = JSON.parse(response.choices[0].message.content);
console.log(data); // { name: "John Doe", age: 30, occupation: "engineer" }Opsi format respons
Streaming
Enable real-time token streaming with Server-Sent Events for responsive UIs.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com/v1"
)
# Enable streaming for real-time responses
stream = client.chat.completions.create(
model="shannon-1.6-lite",
messages=[
{"role": "user", "content": "Write a short poem about AI"}
],
stream=True
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True) JavaScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.shannon-ai.com/v1'
});
// Enable streaming for real-time responses
const stream = await client.chat.completions.create({
model: 'shannon-1.6-lite',
messages: [
{ role: 'user', content: 'Write a short poem about AI' }
],
stream: true
});
for await (const chunk of stream) {
const content = chunk.choices[0]?.delta?.content;
if (content) process.stdout.write(content);
} Tips: Streaming responses arrive as Server-Sent Events. Each chunk contains a delta with partial content.
Pencarian Web Terintegrasi
Shannon includes a built-in web_search function that's automatically available.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com/v1"
)
# Web search is automatically available!
# Shannon will use it when needed for current information
response = client.chat.completions.create(
model="shannon-1.6-lite",
messages=[
{"role": "user", "content": "What are the latest AI news today?"}
],
# Optionally, explicitly define web_search tool
tools=[{
"type": "function",
"function": {
"name": "web_search",
"description": "Search the web for current information",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "Search query"}
},
"required": ["query"]
}
}
}]
)
print(response.choices[0].message.content)
# Response includes sources and citations JavaScript
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.shannon-ai.com/v1'
});
// Web search is automatically available!
// Shannon will use it when needed for current information
const response = await client.chat.completions.create({
model: 'shannon-1.6-lite',
messages: [
{ role: 'user', content: 'What are the latest AI news today?' }
],
// Optionally, explicitly define web_search tool
tools: [{
type: 'function',
function: {
name: 'web_search',
description: 'Search the web for current information',
parameters: {
type: 'object',
properties: {
query: { type: 'string', description: 'Search query' }
},
required: ['query']
}
}
}]
});
console.log(response.choices[0].message.content);
// Response includes sources and citations Tips pro: Hasil pencarian web menyertakan sitasi. Shannon akan mengutip sumber secara otomatis.
Format Anthropic
Shannon juga mendukung format Messages API milik Anthropic.
https://api.shannon-ai.com/v1/messages Python
import anthropic
client = anthropic.Anthropic(
api_key="YOUR_API_KEY",
base_url="https://api.shannon-ai.com/messages"
)
response = client.messages.create(
model="shannon-1.6-lite",
max_tokens=1024,
messages=[
{"role": "user", "content": "Hello, Shannon!"}
],
# Tool use (Anthropic format)
tools=[{
"name": "web_search",
"description": "Search the web",
"input_schema": {
"type": "object",
"properties": {
"query": {"type": "string"}
},
"required": ["query"]
}
}]
)
print(response.content[0].text) JavaScript
import Anthropic from '@anthropic-ai/sdk';
const client = new Anthropic({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.shannon-ai.com/messages'
});
const response = await client.messages.create({
model: 'shannon-1.6-lite',
max_tokens: 1024,
messages: [
{ role: 'user', content: 'Hello, Shannon!' }
],
// Tool use (Anthropic format)
tools: [{
name: 'web_search',
description: 'Search the web',
input_schema: {
type: 'object',
properties: {
query: { type: 'string' }
},
required: ['query']
}
}]
});
console.log(response.content[0].text); Header wajib: Anthropic format requires anthropic-version: 2023-06-01.
CLI Coding Agents
NEWUse Shannon as the AI backend for popular CLI coding agents. Read files, edit code, run tests — all powered by Shannon's API.
CLI Claude Code
Anthropic's official CLI coding agent. Point it at Shannon to use as your AI backend for reading, editing, and running code directly in your terminal.
ANTHROPIC_BASE_URL=https://api.shannon-ai.com ANTHROPIC_API_KEY=sk-YOUR_KEY claude --bare CLI Codex CLI
OpenAI's open-source coding agent. Uses the Responses API for multi-turn tool use, file editing, and shell commands — all routed through Shannon.
OPENAI_BASE_URL=https://api.shannon-ai.com/v1 OPENAI_API_KEY=sk-YOUR_KEY codex Claude Code
Anthropic's official CLI coding agent. Set two environment variables and launch with --bare to skip Anthropic account login.
Bash
# Install Claude Code (requires Node.js 18+)
npm install -g @anthropic-ai/claude-code
# Connect to Shannon AI as backend
export ANTHROPIC_BASE_URL=https://api.shannon-ai.com
export ANTHROPIC_API_KEY=sk-YOUR_API_KEY
# Launch Claude Code in bare mode (no Anthropic account needed)
claude --bare
# Or run a one-shot command
claude --bare -p "Explain this codebase"
# Claude Code will use Shannon's Anthropic-compatible API
# for all AI operations: reading files, editing code,
# running tests, and multi-turn tool use. Shell Config
# Alternative: set env vars permanently in your shell profile
# ~/.bashrc or ~/.zshrc
export ANTHROPIC_BASE_URL=https://api.shannon-ai.com
export ANTHROPIC_API_KEY=sk-YOUR_API_KEY
# Then just run:
claude --bare
# Supported features through Shannon:
# - Multi-turn conversations with full context
# - File reading and editing (tool use)
# - Shell command execution
# - Streaming responses
# - All Claude Code slash commands (/compact, /clear, etc.)Codex CLI
OpenAI's open-source coding agent. Uses the Responses API for multi-turn tool use, file editing, and shell commands.
Bash
# Install Codex CLI
npm install -g @openai/codex
# Connect to Shannon AI as backend
export OPENAI_BASE_URL=https://api.shannon-ai.com/v1
export OPENAI_API_KEY=sk-YOUR_API_KEY
# Launch Codex
codex
# Or run a one-shot command
codex "fix the bug in main.py"
# Codex uses the Responses API (POST /v1/responses)
# Shannon handles tool calls including:
# - Reading and writing files
# - Running shell commands
# - Multi-turn function calling Shell Config
# Alternative: set env vars permanently
# ~/.bashrc or ~/.zshrc
export OPENAI_BASE_URL=https://api.shannon-ai.com/v1
export OPENAI_API_KEY=sk-YOUR_API_KEY
# Then just run:
codex
# Supported features through Shannon:
# - Responses API with full tool use
# - Function calling (file read/write, shell exec)
# - Streaming with real-time output
# - Multi-turn conversations
# - All Codex approval modes (suggest, auto-edit, full-auto) How It Works: Both tools send standard API requests (Anthropic Messages or OpenAI Responses) to Shannon. Shannon routes them through Gemini with full tool-use support. No Anthropic or OpenAI account needed — just your Shannon API key.
SDK
KompatibelUse any OpenAI or Anthropic SDK - just change the base URL.
OpenAI-Compatible SDKs
SDK Python
Official OpenAI Python SDK - works with Shannon
pip install openai SDK JavaScript / TypeScript
Official OpenAI Node.js SDK - works with Shannon
npm install openai SDK Go
Community Go client for OpenAI-compatible APIs
go get github.com/sashabaranov/go-openai SDK Ruby
Community Ruby client for OpenAI-compatible APIs
gem install ruby-openai SDK PHP
Community PHP client for OpenAI-compatible APIs
composer require openai-php/client SDK Rust
Async Rust client for OpenAI-compatible APIs
cargo add async-openai Anthropic-Compatible SDKs
SDK Python (Anthropic)
Official Anthropic Python SDK - works with Shannon
pip install anthropic SDK TypeScript (Anthropic)
Official Anthropic TypeScript SDK - works with Shannon
npm install @anthropic-ai/sdk Penanganan kesalahan
Shannon menggunakan kode status HTTP standar dan mengembalikan pesan kesalahan rinci.
400 Permintaan tidak valid Format atau parameter permintaan tidak valid
401 Tidak diizinkan Kunci API tidak valid atau hilang
402 Kuota terlampaui Kuota token atau pencarian terlampaui
429 Dibatasi Terlalu banyak permintaan, perlambat
500 Kesalahan server Kesalahan internal, coba lagi nanti
Format respons kesalahan
Respons kesalahan
{
"error": {
"message": "Invalid API key provided",
"type": "authentication_error",
"code": "invalid_api_key"
}
}Catatan Perubahan
LOGRecent updates and improvements to the Shannon API.
v2.2.0
2026-03-28 - Baru Claude Code support — use Shannon as your Anthropic backend for the official CLI coding agent
- Baru Codex CLI support — full Responses API with multi-turn tool use for OpenAI's coding agent
- Improved Anthropic streaming format fixes — proper content_block lifecycle, tool_use deltas, toolu_ prefixes
- Improved Schema sanitization for Gemini — strips $schema, additionalProperties, $ref and other unsupported fields from tool schemas
v2.1.0
2025-01-03 - Baru Added shannon-coder-1 model for Claude Code CLI integration
- Baru Call-based quota system for Coder model
- Improved Improved function calling reliability
v2.0.0
2024-12-15 - Baru Added Anthropic Messages API compatibility
- Baru Multi-turn tool execution (up to 10 iterations)
- Baru JSON Schema response format support
- Improved Enhanced web search with better citations
v1.5.0
2024-11-20 - Baru Added shannon-deep-dapo model for complex reasoning
- Baru Built-in web_search function
- Improved Reduced latency for streaming responses
v1.0.0
2024-10-01 - Baru Initial API release
- Baru OpenAI-compatible chat completions endpoint
- Baru Function calling support
- Baru Streaming via Server-Sent Events
Kunci API Anda
Access Gunakan Bearer untuk OpenAI atau X-API-Key + anthropic-version.
YOUR_API_KEY Jaga kerahasiaan kunci API Anda. Membuat ulang akan membuat kunci baru dan menonaktifkan yang lama.
Penggunaan Anda
Lihat konsumsi token dan pencarian di halaman ini saat Anda login.
-- Panggilan API
-- Token digunakan
Shannon Coder (shannon-coder-1)
Kuota berbasis panggilan untuk Shannon Coder (shannon-coder-1). Reset setiap 4 jam.
0 Panggilan digunakan
0 Panggilan tersisa
Siap membangun?
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