Zamiennik typu drop‑in
ZgodneDziała z SDK OpenAI i Anthropic. Wystarczy zmienić bazowy URL.
Dokumentacja API
API Shannon
API AI kompatybilne z OpenAI i Anthropic z wywołaniami funkcji, wyszukiwaniem w sieci i ustrukturyzowanymi odpowiedziami.
Shannon AI API Documentation
Przegląd
Publiczne dokumentyWszystko, czego potrzebujesz, aby wdrożyć z API Shannon zgodnym z OpenAI i Anthropic.
https://api.shannon-ai.com/v1/chat/completions Użyj Chat Completions API z function calling i streamingiem.
https://api.shannon-ai.com/v1/messages Format Claude Messages z tools i nagłówkiem anthropic-version.
Autoryzacja: Bearer <twoj-klucz> Lub użyj X-API-Key z anthropic-version dla wywołań w stylu Claude.
Public docs - Key required to call Streaming, function calling, ustrukturyzowane odpowiedzi i wyszukiwanie w sieci.
Lista startowa
- + SetupSkieruj swoje SDK do ShannonUstaw baseURL na endpoint OpenAI lub Anthropic powyżej.
- + SecurityDodaj swój klucz APIUżyj Bearer dla OpenAI lub X-API-Key + anthropic-version.
- + MożliwościWłącz tools i ustrukturyzowane odpowiedziObsługuje OpenAI tools/functions, JSON schema i wbudowane web_search.
- + AnalyticsŚledź użycieSprawdzaj zużycie tokenów i wyszukiwań na tej stronie po zalogowaniu.
Możliwości
OpenAI + AnthropicBezpośredni zamiennik API OpenAI i Anthropic z natywną obsługą tools, ustrukturyzowanych odpowiedzi i wyszukiwania w sieci.
Wywoływanie funkcji
NarzędziaZdefiniuj narzędzia, a Shannon je wywoła. Obsługuje tryby auto, wymuszony i brak.
Wbudowane wyszukiwanie w sieci
SzukajWyszukiwanie w czasie rzeczywistym z cytowaniami źródeł. Dostępne automatycznie.
Ustrukturyzowane wyjścia
JSONTryb JSON i wymuszanie schematu JSON dla niezawodnego wydobycia danych.
Narzędzia wieloetapowe
AgentoweAutomatyczne pętle wywołań funkcji. Do 10 iteracji na żądanie.
Streaming
SzybkieSSE do strumieniowania tokenów w czasie rzeczywistym.
Szybki start
5 minutZacznij w trzech krokach. Shannon naśladuje klientów OpenAI i Anthropic.
1
Ustaw bazowy URL
Użyj endpointu zgodnego z OpenAI.
https://api.shannon-ai.com/v1/chat/completions 2
Dodaj klucz API
Użyj Bearer auth w nagłówku Authorization.
3
Wyślij pierwszą wiadomość
Wybierz język i wstaw swój klucz.
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 odpowiedzi
Odpowiedź sukcesu
{
"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
}
}Plac zabaw API
NoweTestuj API Shannon bezpośrednio w przeglądarce. Zbuduj żądanie, uruchom i zobacz odpowiedź w czasie rzeczywistym.
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.
/pl/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.
Uwierzytelnianie
Wszystkie żądania API wymagają uwierzytelnienia Twoim kluczem API Shannon.
OpenAI Format (Recommended)
HTTP
Authorization: Bearer YOUR_API_KEYFormat Anthropic
HTTP
X-API-Key: YOUR_API_KEY
anthropic-version: 2023-06-01Modele
Shannon oferuje wiele modeli zoptymalizowanych pod różne przypadki użycia.
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
Wywołanie funkcji
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);
}Opcje wyboru narzędzia
Odpowiedź wywołania funkcji
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"
}
]
}Ustrukturyzowane odpowiedzi
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" }Opcje formatu odpowiedzi
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);
} Wskazówka: Streaming responses arrive as Server-Sent Events. Each chunk contains a delta with partial content.
Wbudowane wyszukiwanie w sieci
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 Wskazówka pro: Wyniki wyszukiwania zawierają cytowania. Shannon automatycznie cytuje źródła.
Format Anthropic
Shannon obsługuje również format Anthropic Messages API.
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); Wymagany nagłówek: 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
ZgodneUse 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 Obsługa błędów
Shannon używa standardowych kodów HTTP i zwraca szczegółowe komunikaty błędów.
400 Błędne żądanie Nieprawidłowy format żądania lub parametry
401 Brak autoryzacji Nieprawidłowy lub brakujący klucz API
402 Przekroczony limit Przekroczono limit tokenów lub wyszukiwań
429 Ograniczenie szybkości Zbyt wiele żądań, zwolnij
500 Błąd serwera Błąd wewnętrzny, spróbuj ponownie później
Format odpowiedzi błędu
Odpowiedź błędu
{
"error": {
"message": "Invalid API key provided",
"type": "authentication_error",
"code": "invalid_api_key"
}
}Dziennik zmian
LOGRecent updates and improvements to the Shannon API.
v2.2.0
2026-03-28 - Nowe Claude Code support — use Shannon as your Anthropic backend for the official CLI coding agent
- Nowe 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 - Nowe Added shannon-coder-1 model for Claude Code CLI integration
- Nowe Call-based quota system for Coder model
- Improved Improved function calling reliability
v2.0.0
2024-12-15 - Nowe Added Anthropic Messages API compatibility
- Nowe Multi-turn tool execution (up to 10 iterations)
- Nowe JSON Schema response format support
- Improved Enhanced web search with better citations
v1.5.0
2024-11-20 - Nowe Added shannon-deep-dapo model for complex reasoning
- Nowe Built-in web_search function
- Improved Reduced latency for streaming responses
v1.0.0
2024-10-01 - Nowe Initial API release
- Nowe OpenAI-compatible chat completions endpoint
- Nowe Function calling support
- Nowe Streaming via Server-Sent Events
Twój klucz API
Access Użyj Bearer dla OpenAI lub X-API-Key + anthropic-version.
YOUR_API_KEY Trzymaj klucz API w tajemnicy. Regeneracja tworzy nowy klucz i unieważnia stary.
Twoje użycie
Sprawdzaj zużycie tokenów i wyszukiwań na tej stronie po zalogowaniu.
-- Wywołania API
-- Użyte tokeny
Shannon Coder (shannon-coder-1)
Limit oparty na liczbie wywołań dla Shannon Coder (shannon-coder-1). Reset co 4 godz.
0 Wykorzystane wywołania
0 Pozostałe wywołania
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