Claude Fable 5 API
Complete API reference for Claude Fable 5 LLM models powered by Anthropic.
Model Variants
This API supports three Claude Fable 5 model variants:
Quick Comparison
Claude Fable 5 Text to Text
Endpoint
POST /api/v1/chat/completions
Request Parameters
Required
Message Support
Optional
Example Request
const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Accept': 'text/event-stream',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'claude-fable-5-text-to-text',
messages: [
{
role: 'user',
content: 'Draft a technical decision memo for this architecture choice.'
}
],
stream: true,
max_tokens: 2048,
top_p: 0.9,
top_k: 50
})
});
Claude Fable 5 Web Search
Endpoint
POST /api/v1/chat/completions
Request Parameters
Required
Message Support
Optional
Example Request
const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Accept': 'text/event-stream',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'claude-fable-5-web-search',
messages: [
{
role: 'user',
content: 'Find the latest public information about Claude Fable 5 and summarize it for a product brief.'
}
],
stream: true,
max_tokens: 2048,
top_p: 0.9,
top_k: 50
})
});
Claude Fable 5 File Analysis
Endpoint
POST /api/v1/chat/completions
Request Parameters
Required
Message Support
Optional
Example Request
const response = await fetch('https://api.flaq.ai/api/v1/chat/completions', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Accept': 'text/event-stream',
'Content-Type': 'application/json'
},
body: JSON.stringify({
model: 'claude-fable-5-file-analysis',
messages: [
{
role: 'user',
content: [
{ type: 'text', text: 'Summarize this file and extract the key risks.' },
{
type: 'file',
file: {
filename: 'demo.pdf',
file_data: 'https://example.com/demo.pdf'
}
}
]
}
],
stream: true,
max_tokens: 4096,
top_p: 0.9,
top_k: 50
})
});
Claude Fable 5 LLM models return OpenAI-compatible completion responses. With stream: true, the response is Server-Sent Events; with stream: false, the response is a single JSON object.
Successful Response
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-fable-5-file-analysis","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-fable-5-file-analysis","choices":[{"index":0,"delta":{"content":"Here is a concise summary"},"finish_reason":null}]}
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-fable-5-file-analysis","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}
data: {"id":"chatcmpl-...","object":"chat.completion.chunk","created":1710000000,"model":"claude-fable-5-file-analysis","choices":[],"usage":{"prompt_tokens":12,"completion_tokens":8,"total_tokens":20}}
data: [DONE]
Error Response
event: error
data: {"error":{"message":"API requests too frequent, exceeding rate limit","type":"rate_limit_error","code":"1302","param":null}}
Best Practices
- Use structured messages: Send conversation history through
messages[] instead of flattening context into one prompt.
- Choose the right model variant: Use Text to Text for text-only reasoning, Web Search when current online context is needed, and File Analysis when files or images are required.
- Tune Claude parameters carefully:
top_p and top_k are supported across Claude Fable 5 variants and can change output diversity.
- Consume SSE events: Append
choices[0].delta.content for streaming display and treat data: [DONE] as successful completion.
- Send only supported inputs: Do not send file or image parts to Text to Text or Web Search routes.