Sauya Sauyawa
Mai jituwaYana aiki tare da OpenAI da SDKs Anthropic. Kawai canza tushen URL.
Duk harsuna daidai suke. Zaɓi wanda kake son lilo a ciki.
OpenAI & Anthropic mai jituwa AI API tare da kiran aiki, binciken gidan yanar gizo, da ingantaccen kayan aiki.
Duk abin da kuke buƙata don jigilar kaya tare da Shannon's OpenAI da API masu jituwa na Anthropic.
https://api.shannon-ai.com/v1/chat/completions Yi amfani da API ɗin Taɗi tare da kiran aiki da yawo.
https://api.shannon-ai.com/v1/messages Tsarin Saƙonnin Claude tare da kayan aiki da taken nau'in ɗan adam.
Izini: Mai ɗauka <key-key> Ko X-API-Key tare da sigar ɗan adam don kiran salon Claude.
Dokokin jama'a - Maɓallin da ake buƙata don kira Yawo, kiran aiki, tsararrun abubuwan samarwa, binciken yanar gizo.
Sauyawa zuwa ga OpenAI da APIs na Anthropic tare da goyan bayan ƙasa don kayan aiki, abubuwan da aka tsara, da ginanniyar binciken gidan yanar gizo.
Yana aiki tare da OpenAI da SDKs Anthropic. Kawai canza tushen URL.
Ƙayyade kayan aikin, bari Shannon ta kira su. Yana goyan bayan atomatik, tilastawa, kuma babu kowane yanayi.
Binciken gidan yanar gizo na ainihi tare da ambaton tushe. Akwai ta atomatik.
Yanayin JSON da JSON Tsare-tsare Tsare-tsare don amintaccen hakar bayanai.
Madaukakan aiwatar da ayyuka ta atomatik. Har zuwa maimaitawa 10 a kowace buƙata.
Abubuwan da aka aika uwar garken don yawo na token na ainihi.
Fara a matakai uku. Shannon madubi OpenAI da Anthropic abokan ciniki.
Yi amfani da madaidaicin ƙarshen ƙarshen OpenAI.
https://api.shannon-ai.com/v1/chat/completions Yi amfani da auth mai ɗaukar hoto a cikin taken izini.
Zaɓi harshe kuma musanya cikin maɓallin ku.
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
}
} Gwada Shannon API kai tsaye a cikin burauzar ku. Gina buƙatun ku, gudanar da shi, kuma duba martanin a ainihin-lokaci.
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.
/ha/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.
Duk buƙatun API na buƙatar tabbaci ta amfani da maɓallin API na Shannon.
Authorization: Bearer YOUR_API_KEY X-API-Key: YOUR_API_KEY
anthropic-version: 2023-06-01 Shannon yana ba da samfura da yawa waɗanda aka inganta don lokuta daban-daban na amfani.
shannon-1.6-lite Shannon 1.6 Lite Amsoshi masu sauri, masu inganci don ayyukan yau da kullun
shannon-1.6-pro Shannon 1.6 Pro Babban dalili don matsaloli masu rikitarwa
shannon-2-lite Shannon 2 Lite
shannon-2-pro Shannon 2 Pro
shannon-coder-1 Shannon Coder An inganta don Claude Code CLI tare da adadin tushen kira
Ƙayyade kayan aikin da Shannon zai iya kira don aiwatar da ayyuka ko dawo da bayanai.
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 yana yanke shawarar ko za a kira aiki (tsoho) "none" Kashe kiran aikin don wannan buƙatar {"type": "function", "function": {"name": "..."}} Tilasta takamaiman kiran aiki {
"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"
}
]
} Tilasta Shannon don amsawa da ingantaccen JSON wanda yayi daidai da tsarin ku.
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"} Tilasta ingantaccen fitarwa JSON (babu takamaiman tsari) {"type": "json_schema", "json_schema": {...}} Tilasta fitarwa da ya dace da ainihin tsarin ku Kunna yawo na ainihin-lokaci tare da Abubuwan da aka aiko da Sabar don UIs masu amsawa.
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 ya ƙunshi ginannen aikin gidan yanar gizo_search wanda ke samuwa ta atomatik.
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 kuma yana goyan bayan tsarin API na Saƙonnin Anthropic.
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); Yi amfani da kowane OpenAI ko Anthropic SDK - kawai canza tushen URL.
OpenAI Python SDK na hukuma - yana aiki tare da Shannon
pip install openai OpenAI Node.js SDK na hukuma - yana aiki tare da Shannon
npm install openai Community Go abokin ciniki don APIs masu jituwa na OpenAI
go get github.com/sashabaranov/go-openai Abokin ciniki na Ruby na Community don APIs masu jituwa na OpenAI
gem install ruby-openai Abokin ciniki na jama'a na PHP don APIs masu jituwa na OpenAI
composer require openai-php/client Abokin ciniki na Async Rust don APIs masu jituwa na OpenAI
cargo add async-openai Official Anthropic Python SDK - yana aiki tare da Shannon
pip install anthropic Official Anthropic TypeScript SDK - yana aiki tare da Shannon
npm install @anthropic-ai/sdk Shannon yana amfani da daidaitattun lambobin matsayin HTTP kuma yana dawo da cikakkun saƙonnin kuskure.
{
"error": {
"message": "Invalid API key provided",
"type": "authentication_error",
"code": "invalid_api_key"
}
} Sabunta kwanan nan da haɓakawa ga Shannon API.
YOUR_API_KEY Kiyaye sirrin maɓallin API ɗin ku. Sake haɓakawa yana ƙirƙirar sabon maɓalli kuma yana lalata tsohuwar.
Duba alamar alama da yawan bincike akan wannan shafin lokacin shiga cikin asusun ku.
Ƙididdigar tushen kira don Shannon Coder (shannon-coder-1). Ana sake saiti kowane awa 4.
Samu maɓallin API ɗin ku kuma fara gini tare da Shannon AI a yau.
Shahararrun bincike: