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SHANNON A.I.
Pokalbis Kainos API Tyrimai Įmonė Pentest AI Startup Boost
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Planas ir Naudojimas
Pokalbis Kainos API Tyrimai Įmonė Pentest AI Startup Boost Prisijungti Planas ir Naudojimas

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API dokumentacija

Shannon API

Su OpenAI ir Anthropic suderinamas AI API su funkcijų kvietimais, žiniatinklio paieška ir struktūruotais išėjimais.

Gaukite savo API raktą Išbandykite Playground V2
Dokumentacija
  • OV Apžvalga
  • CP Galimybės
  • QS Greita pradžia
  • PG API žaidimų aikštelė Nauja
  • AU Autentifikavimas
  • ML Modeliai
  • FN Funkcijų kvietimas
  • JS Struktūruoti išėjimai
  • SS Srautinė transliacija
  • WS Žiniatinklio paieška
  • AN Anthropic
  • SD SDK
  • ER Klaidų tvarkymas
  • CL Pakeitimų žurnalas
  • AK Jūsų API raktas
  • US Jūsų naudojimas

Shannon AI API Documentation

Apžvalga

Public docs

Viskas, ko reikia paleisti su Shannon OpenAI ir Anthropic suderinamu API.

URL OpenAI-Compatible
https://api.shannon-ai.com/v1/chat/completions

Use the Chat Completions API with function calling and streaming.

URL Anthropic-Compatible
https://api.shannon-ai.com/v1/messages

Claude Messages format with tools and anthropic-version header.

HTTP Autentifikavimas
Authorization: Bearer <api-key>

Or X-API-Key with anthropic-version for Claude-style calls.

Access Status
Public docs - Key required to call

Streaming, function calling, structured outputs, web search.

Launch checklist
  • +
    Point your SDK at Shannon
    Set baseURL to the OpenAI or Anthropic endpoints above.
    Setup
  • +
    Attach your API key
    Use Bearer tokens for OpenAI calls or X-API-Key + anthropic-version.
    Security
  • +
    Enable tools & structured outputs
    Supports OpenAI tools/functions, JSON schema, and built-in web_search.
    Galimybės
  • +
    Track usage
    View token and search consumption on this page when signed in to your account.
    Analytics

Galimybės

OpenAI + Anthropic

Drop‑in pakaitalas OpenAI ir Anthropic API su natūralia įrankių, struktūruotų išėjimų ir integruotos žiniatinklio paieškos parama.

AI

Drop‑in pakeitimas

Suderinama

Veikia su OpenAI ir Anthropic SDK. Tiesiog pakeiskite bazinį URL.

AI

Funkcijų iškvietimas

Įrankiai

Apibrėžkite įrankius, leiskite Shannon juos kviesti. Palaiko auto, forced ir none režimus.

AI

Integruota žiniatinklio paieška

Paieška

Realaus laiko paieška su šaltinių citatomis. Pasiekiama automatiškai.

AI

Struktūruotos išvestys

JSON

JSON režimas ir JSON Schema taikymas patikimam duomenų išgavimui.

AI

Daugiapakopiai įrankiai

Agentinis

Automatiniai funkcijų vykdymo ciklai. Iki 10 iteracijų per užklausą.

AI

Srautinimas

Greita

Server‑sent events realaus laiko žetonų srautui.

Greita pradžia

5 minutės

Pradėkite per tris žingsnius. Shannon atspindi OpenAI ir Anthropic klientus.

1

Nustatykite bazinį URL

Naudokite su OpenAI suderinamą endpoint.

https://api.shannon-ai.com/v1/chat/completions
2

Pridėkite API raktą

Naudokite Bearer auth Authorization antraštėje.

3

Išsiųskite pirmą žinutę

Pasirinkite kalbą ir įrašykite savo raktą.

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
  }'

Atsakymo formatas

Sėkmingas atsakymas
{
  "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
  }
}

API žaidimų aikštelė

Nauja

Išbandykite Shannon API tiesiai naršyklėje. Sukurkite užklausą, paleiskite ir matykite atsaką realiu laiku.

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.

/lt/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.

Išbandykite Playground V2 Gaukite savo API raktą

Autentifikavimas

Visoms API užklausoms reikalingas autentifikavimas naudojant jūsų Shannon API raktą.

OpenAI Format (Recommended)

HTTP
Authorization: Bearer YOUR_API_KEY

Anthropic

HTTP
X-API-Key: YOUR_API_KEY
anthropic-version: 2023-06-01

Modeliai

Shannon siūlo kelis modelius, optimizuotus skirtingiems naudojimo atvejams.

AI
shannon-1.6-lite Shannon 1.6 Lite

Fast, efficient responses for everyday tasks

Kontekstas 128K
Sukurta Saugumo Profesionalams Chat, Q&A, Content Generation
AI
shannon-1.6-pro Shannon 1.6 Pro

Advanced reasoning for complex problems

Kontekstas 128K
Sukurta Saugumo Profesionalams Analysis, Research, Complex Tasks
AI
shannon-2-lite Shannon 2 Lite

Kontekstas 128K
Sukurta Saugumo Profesionalams
AI
shannon-2-pro Shannon 2 Pro

Kontekstas 128K
Sukurta Saugumo Profesionalams
AI
shannon-coder-1 Shannon Coder

Optimized for Claude Code CLI with call-based quota

Kontekstas 128K
Sukurta Saugumo Profesionalams Code Generation, Tool Use, CLI Integration
Call-based quota

Funkcijų kvietimas

Apibrėžkite įrankius, kuriuos Shannon gali kviesti veiksmams atlikti ar informacijai gauti.

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);
}

Funkcijų kvietimas

"auto" Model decides whether to call a function (default)
"none" Disable function calling for this request
{"type": "function", "function": {"name": "..."}} Force a specific function call

Atsakymo formatas

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"
    }
  ]
}

Struktūruoti išėjimai

Priverskite Shannon atsakyti galiojančiu JSON, atitinkančiu jūsų schemą.

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" }

Atsakymo formatas

{"type": "json_object"} Force valid JSON output (no specific schema)
{"type": "json_schema", "json_schema": {...}} Force output matching your exact schema

Srautinė transliacija

Įjunkite realaus laiko žetonų srautą su Server‑Sent Events, kad UI būtų greitai reaguojantis.

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);
}
Tip: Streaming responses arrive as Server-Sent Events. Each chunk contains a delta with partial content.

Žiniatinklio paieška

Shannon turi integruotą web_search funkciją, kuri yra automatiškai prieinama.

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
Patarimas: Web search results include citations. Shannon will automatically cite sources.

Anthropic

Shannon taip pat palaiko Anthropic Messages API formatą.

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);
Required: Anthropic format requires anthropic-version: 2023-06-01.

SDK

Suderinama

Naudokite bet kurį OpenAI ar Anthropic SDK — tiesiog pakeiskite bazinį URL.

OpenAI-Compatible SDKs

SDK Python

Official OpenAI Python SDK - works with Shannon

pip install openai
View Docs ->
SDK JavaScript / TypeScript

Official OpenAI Node.js SDK - works with Shannon

npm install openai
View Docs ->
SDK Go

Community Go client for OpenAI-compatible APIs

go get github.com/sashabaranov/go-openai
View Docs ->
SDK Ruby

Community Ruby client for OpenAI-compatible APIs

gem install ruby-openai
View Docs ->
SDK PHP

Community PHP client for OpenAI-compatible APIs

composer require openai-php/client
View Docs ->
SDK Rust

Async Rust client for OpenAI-compatible APIs

cargo add async-openai
View Docs ->

Anthropic-Compatible SDKs

SDK Python (Anthropic)

Official Anthropic Python SDK - works with Shannon

pip install anthropic
View Docs ->
SDK TypeScript (Anthropic)

Official Anthropic TypeScript SDK - works with Shannon

npm install @anthropic-ai/sdk
View Docs ->

Klaidų tvarkymas

Shannon naudoja standartinius HTTP būsenos kodus ir grąžina detalias klaidas.

400 Netinkama užklausa Netinkamas užklausos formatas arba parametrai
401 Neautorizuota Neteisingas arba trūkstamas API raktas
402 Viršyta kvota Viršyta žetonų arba paieškos kvota
429 Apribotas greitis Per daug užklausų, sulėtinkite
500 Serverio klaida Vidinė klaida, bandykite vėliau

Klaidos atsakymo formatas

Klaidos atsakymas
{
  "error": {
    "message": "Invalid API key provided",
    "type": "authentication_error",
    "code": "invalid_api_key"
  }
}

Pakeitimų žurnalas

LOG

Naujausi Shannon API atnaujinimai ir patobulinimai.

v2.1.0
2025-01-03
  • Nauja Added shannon-coder-1 model for Claude Code CLI integration
  • Nauja Call-based quota system for Coder model
  • Improved Improved function calling reliability
v2.0.0
2024-12-15
  • Nauja Added Anthropic Messages API compatibility
  • Nauja Multi-turn tool execution (up to 10 iterations)
  • Nauja JSON Schema response format support
  • Improved Enhanced web search with better citations
v1.5.0
2024-11-20
  • Nauja Added shannon-deep-dapo model for complex reasoning
  • Nauja Built-in web_search function
  • Improved Reduced latency for streaming responses
v1.0.0
2024-10-01
  • Nauja Initial API release
  • Nauja OpenAI-compatible chat completions endpoint
  • Nauja Function calling support
  • Nauja Streaming via Server-Sent Events

Jūsų API raktas

Access
Use Bearer tokens for OpenAI calls or X-API-Key + anthropic-version.
YOUR_API_KEY
Gaukite savo API raktą

Saugokite API raktą. Atnaujinimas sukuria naują raktą ir panaikina seną.

Versija: 1
Paskutinį kartą atnaujinta: Niekada
Paskutinį kartą naudota: Niekada

Jūsų naudojimas

View token and search consumption on this page when signed in to your account.

-- API iškvietimai
-- Naudoti žetonai

Shannon Coder (shannon-coder-1)

Kvietimų kvota Shannon Coder (shannon-coder-1). Atsistato kas 4 val.

0 Naudoti iškvietimai
0 Likę iškvietimai

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