Chargement de l’interface
API IA compatible OpenAI et Anthropic avec appels de fonctions, recherche web et sorties structurées.
Tout ce qu'il faut pour lancer avec l'API compatible OpenAI et Anthropic de Shannon.
https://us-central1-shannonai.cloudfunctions.net/v1/chat/completionsUtilisez l'API Chat Completions avec function calling et streaming.
https://us-central1-shannonai.cloudfunctions.net/v1/messagesFormat Claude Messages avec tools et en-tête anthropic-version.
Autorisation : Bearer <votre-cle>Ou utilisez X-API-Key avec anthropic-version pour les appels style Claude.
Public docs - Key required to callStreaming, function calling, sorties structurées et recherche web.
Remplacement direct des API OpenAI et Anthropic avec prise en charge native des tools, sorties structurées et recherche web.
Fonctionne avec les SDK OpenAI et Anthropic. Il suffit de changer l’URL de base.
Définissez des outils, laissez Shannon les appeler. Prend en charge les modes auto, forcé et aucun.
Recherche web en temps réel avec citations de sources. Disponible automatiquement.
Mode JSON et application de JSON Schema pour une extraction fiable des données.
Boucles automatiques d’exécution de fonctions. Jusqu’à 10 itérations par requête.
Server‑Sent Events pour le streaming de tokens en temps réel.
Commencez en trois étapes. Shannon reflète les clients OpenAI et Anthropic.
Utilisez l’endpoint compatible OpenAI.
https://us-central1-shannonai.cloudfunctions.net/v1/chat/completionsUtilisez l’auth Bearer dans l’en‑tête Authorization.
Choisissez une langue et remplacez par votre clé.
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
}
}Testez l’API Shannon directement dans votre navigateur. Construisez votre requête, exécutez‑la et voyez la réponse en temps réel.
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}
Toutes les requêtes API nécessitent une authentification avec votre clé API Shannon.
Authorization: Bearer YOUR_API_KEY
X-API-Key: YOUR_API_KEYanthropic-version: 2023-06-01
Shannon propose plusieurs modèles optimisés pour différents cas d'usage.
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 prend aussi en charge le format Messages API d'Anthropic.
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 utilise des codes d’état HTTP standard et renvoie des messages d’erreur détaillés.
{
"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.