Drop-in náhrada
KompatibilnéFunguje s OpenAI a Anthropic SDK. Stačí zmeniť base URL.
Všetky jazyky sú rovnocenné. Vyberte si ten, v ktorom chcete prehliadať.
AI API kompatibilné s OpenAI a Anthropic s volaním funkcií, webovým vyhľadávaním a štruktúrovanými výstupmi.
Všetko, čo potrebujete na spustenie s OpenAI/Anthropic kompatibilným API Shannon.
https://api.shannon-ai.com/v1/chat/completions Použite Chat Completions API s volaním funkcií a streamovaním.
https://api.shannon-ai.com/v1/messages Formát Claude Messages s nástrojmi a hlavičkou anthropic-version.
Autorizácia: Bearer <vas-kluc> Alebo X-API-Key s anthropic-version pre volania v štýle Claude.
Verejné dokumenty – na volanie je potrebný kľúč Streamovanie, volanie funkcií, štruktúrované výstupy, webové vyhľadávanie.
Drop-in náhrada za OpenAI a Anthropic API s natívnou podporou nástrojov, štruktúrovaných výstupov a vstavaného webového vyhľadávania.
Funguje s OpenAI a Anthropic SDK. Stačí zmeniť base URL.
Definujte nástroje, Shannon ich zavolá. Podporuje auto, forced a none režimy.
Webové vyhľadávanie v reálnom čase s citáciami zdrojov. Automaticky dostupné.
Režim JSON a vynútenie JSON Schémy pre spoľahlivú extrakciu dát.
Automatické slučky vykonávania funkcií. Až 10 iterácií na požiadavku.
Server-sent events pre streamovanie tokenov v reálnom čase.
Začnite v troch krokoch. Shannon zrkadlí klientov OpenAI a Anthropic.
Použite endpoint kompatibilný s OpenAI.
https://api.shannon-ai.com/v1/chat/completions Použite Bearer autentifikáciu v hlavičke Authorization.
Vyberte jazyk a vložte svoj kľúč.
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) 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); 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 -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
}' {
"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
}
} Otestujte Shannon API priamo v prehliadači. Zostavte požiadavku, spustite ju a sledujte odpoveď v reálnom čase.
Switch across OpenAI Chat Completions, Responses, and Anthropic Messages without leaving the playground.
Run real requests, inspect raw JSON, and view stream events from the same operator console.
Signed-in users can pull their Shannon API key straight into the dedicated playground workspace.
/sk/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.
Všetky API požiadavky vyžadujú autentifikáciu pomocou vášho Shannon API kľúča.
Authorization: Bearer YOUR_API_KEY X-API-Key: YOUR_API_KEY
anthropic-version: 2023-06-01 Shannon ponúka viacero modelov optimalizovaných pre rôzne prípady použitia.
shannon-1.6-lite Shannon 1.6 Lite Rýchle, efektívne odpovede pre každodenné úlohy
shannon-1.6-pro Shannon 1.6 Pro Pokročilé uvažovanie pre komplexné problémy
shannon-2-lite Shannon 2 Lite
shannon-2-pro Shannon 2 Pro
shannon-coder-1 Shannon Coder Optimalizované pre Claude Code CLI s kvótou podľa volaní
Definujte nástroje, ktoré Shannon môže volať na vykonanie akcií alebo získanie informácií.
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}") 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);
} "auto" Model rozhodne, či zavolá funkciu (predvolené) "none" Zakázať volanie funkcií pre túto požiadavku {"type": "function", "function": {"name": "..."}} Vynútiť volanie konkrétnej funkcie {
"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"
}
]
} Vynútiť, aby Shannon odpovedal platným JSON, ktorý zodpovedá vašej schéme.
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"} 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" } {"type": "json_object"} Vynútiť platný JSON výstup (bez špecifickej schémy) {"type": "json_schema", "json_schema": {...}} Vynútiť výstup zodpovedajúci vašej presnej schéme Povoľte streamovanie tokenov v reálnom čase pomocou Server-Sent Events pre responzívne UI.
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) 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);
} Shannon obsahuje vstavanú funkciu web_search, ktorá je automaticky dostupná.
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 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 Shannon tiež podporuje formát Anthropic Messages API.
https://api.shannon-ai.com/v1/messages 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) 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); Použite akýkoľvek OpenAI alebo Anthropic SDK – stačí zmeniť base URL.
Oficiálny OpenAI Python SDK - funguje so Shannon
pip install openai Oficiálny OpenAI Node.js SDK - funguje so Shannon
npm install openai Komunitný Go klient pre OpenAI kompatibilné API
go get github.com/sashabaranov/go-openai Komunitný Ruby klient pre OpenAI kompatibilné API
gem install ruby-openai Komunitný PHP klient pre OpenAI kompatibilné API
composer require openai-php/client Asynchrónny Rust klient pre OpenAI kompatibilné API
cargo add async-openai Oficiálny Anthropic Python SDK - funguje so Shannon
pip install anthropic Oficiálny Anthropic TypeScript SDK - funguje so Shannon
npm install @anthropic-ai/sdk Shannon používa štandardné HTTP status kódy a vracia podrobné chybové správy.
{
"error": {
"message": "Invalid API key provided",
"type": "authentication_error",
"code": "invalid_api_key"
}
} Nedávne aktualizácie a zlepšenia Shannon API.
YOUR_API_KEY Uchovajte svoj API kľúč v tajnosti. Regenerovanie vytvorí nový kľúč a zneplatní starý.
Zobrazte spotrebu tokenov a vyhľadávania na tejto stránke, keď ste prihlásení.
Kvóta podľa volaní pre Shannon Coder (shannon-coder-1). Resetuje sa každých 4 hodín.
Získajte svoj API kľúč a začnite dnes vytvárať so Shannon AI.
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