Ładowanie interfejsu Shannon...
API AI kompatybilne z OpenAI i Anthropic z wywołaniami funkcji, wyszukiwaniem w sieci i ustrukturyzowanymi odpowiedziami.
Wszystko, czego potrzebujesz, aby wdrożyć z API Shannon zgodnym z OpenAI i Anthropic.
https://us-central1-shannonai.cloudfunctions.net/v1/chat/completionsUżyj Chat Completions API z function calling i streamingiem.
https://us-central1-shannonai.cloudfunctions.net/v1/messagesFormat 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 callStreaming, function calling, ustrukturyzowane odpowiedzi i wyszukiwanie w sieci.
Bezpośredni zamiennik API OpenAI i Anthropic z natywną obsługą tools, ustrukturyzowanych odpowiedzi i wyszukiwania w sieci.
Działa z SDK OpenAI i Anthropic. Wystarczy zmienić bazowy URL.
Zdefiniuj narzędzia, a Shannon je wywoła. Obsługuje tryby auto, wymuszony i brak.
Wyszukiwanie w czasie rzeczywistym z cytowaniami źródeł. Dostępne automatycznie.
Tryb JSON i wymuszanie schematu JSON dla niezawodnego wydobycia danych.
Automatyczne pętle wywołań funkcji. Do 10 iteracji na żądanie.
SSE do strumieniowania tokenów w czasie rzeczywistym.
Zacznij w trzech krokach. Shannon naśladuje klientów OpenAI i Anthropic.
Użyj endpointu zgodnego z OpenAI.
https://us-central1-shannonai.cloudfunctions.net/v1/chat/completionsUżyj Bearer auth w nagłówku Authorization.
Wybierz język i wstaw swój klucz.
from openai import OpenAIclient = OpenAI(api_key="YOUR_API_KEY",base_url="https://us-central1-shannonai.cloudfunctions.net/v1")response = client.chat.completions.create(model="shannon-balanced-grpo",messages=[{"role": "system", "content": "You are a helpful assistant."},{"role": "user", "content": "Hello, Shannon!"}],max_tokens=1024)print(response.choices[0].message.content)
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"created": 1234567890,
"model": "shannon-balanced-grpo",
"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
}
}Testuj API Shannon bezpośrednio w przeglądarce. Zbuduj żądanie, uruchom i zobacz odpowiedź w czasie rzeczywistym.
Switch between Chat Completions, Responses, and Messages without changing pages. The request body, auth header, stream parser, and SDK snippets all follow the selected protocol.
Pick an endpoint, shape the payload, and run the request to inspect the live output.
{"model": "shannon-balanced-grpo","messages": [{"role": "system","content": "You are Shannon. Answer crisply, commercially, and with strong structure."},{"role": "user","content": "Outline a clean launch plan for a new AI API aimed at startup founders."}],"max_tokens": 1024,"temperature": 0.7,"stream": true}
Wszystkie żądania API wymagają uwierzytelnienia Twoim kluczem API Shannon.
Authorization: Bearer YOUR_API_KEY
X-API-Key: YOUR_API_KEYanthropic-version: 2023-06-01
Shannon oferuje wiele modeli zoptymalizowanych pod różne przypadki użycia.
shannon-balanced-grpoBalancedFast, efficient responses for everyday tasks
shannon-deep-dapoDeepAdvanced reasoning for complex problems
shannon-coder-1CoderOptimized for Claude Code CLI with call-based quota
Define tools that Shannon can call to perform actions or retrieve information.
from openai import OpenAIimport jsonclient = OpenAI(api_key="YOUR_API_KEY",base_url="https://us-central1-shannonai.cloudfunctions.net/v1")# Define available tools/functionstools = [{"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-balanced-grpo",messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],tools=tools,tool_choice="auto")# Check if model wants to call a functionif 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}")
{
"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"
}
]
}Force Shannon to respond with valid JSON that matches your schema.
from openai import OpenAIclient = OpenAI(api_key="YOUR_API_KEY",base_url="https://us-central1-shannonai.cloudfunctions.net/v1")# Force JSON output with schemaresponse = client.chat.completions.create(model="shannon-balanced-grpo",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 jsondata = json.loads(response.choices[0].message.content)print(data) # {"name": "John Doe", "age": 30, "occupation": "engineer"}
Enable real-time token streaming with Server-Sent Events for responsive UIs.
from openai import OpenAIclient = OpenAI(api_key="YOUR_API_KEY",base_url="https://us-central1-shannonai.cloudfunctions.net/v1")# Enable streaming for real-time responsesstream = client.chat.completions.create(model="shannon-balanced-grpo",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)
Shannon includes a built-in web_search function that's automatically available.
from openai import OpenAIclient = OpenAI(api_key="YOUR_API_KEY",base_url="https://us-central1-shannonai.cloudfunctions.net/v1")# Web search is automatically available!# Shannon will use it when needed for current informationresponse = client.chat.completions.create(model="shannon-balanced-grpo",messages=[{"role": "user", "content": "What are the latest AI news today?"}],# Optionally, explicitly define web_search tooltools=[{"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
Shannon obsługuje również format Anthropic Messages API.
https://us-central1-shannonai.cloudfunctions.net/v1/messagesimport anthropicclient = anthropic.Anthropic(api_key="YOUR_API_KEY",base_url="https://us-central1-shannonai.cloudfunctions.net/messages")response = client.messages.create(model="shannon-balanced-grpo",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)
Use any OpenAI or Anthropic SDK - just change the base URL.
Shannon używa standardowych kodów HTTP i zwraca szczegółowe komunikaty błędów.
{
"error": {
"message": "Invalid API key provided",
"type": "authentication_error",
"code": "invalid_api_key"
}
}Recent updates and improvements to the Shannon API.
Get your API key and start building with Shannon AI today.