Inception

Overview

Property	Details
Description	Inception serves the Mercury family of diffusion LLMs (dLLMs). The API is OpenAI-compatible.
Provider Route on LiteLLM	inception/ (chat), text-completion-inception/ (fill-in-the-middle)
Link to Provider Doc	Inception Platform Documentation ↗
Base URL	https://api.inceptionlabs.ai/v1
Supported Operations	/chat/completions, /fim/completions

Available Models

Model	Description	Context Window
inception/mercury-2	Fast reasoning chat model; supports tool calling and structured outputs	128,000 tokens
text-completion-inception/mercury-edit-2	Code model for fill-in-the-middle (FIM) autocomplete	32,000 tokens

Required Variables

Environment Variables

os.environ["INCEPTION_API_KEY"] = ""  # your Inception API key

Usage - LiteLLM Python SDK

Non-streaming

Inception Non-streaming Completion

import os
import litellm
from litellm import completion

os.environ["INCEPTION_API_KEY"] = ""  # your Inception API key

messages = [{"content": "Hello, how are you?", "role": "user"}]

# Inception call
response = completion(
    model="inception/mercury-2",
    messages=messages
)

print(response)

Streaming

Inception Streaming Completion

import os
import litellm
from litellm import completion

os.environ["INCEPTION_API_KEY"] = ""  # your Inception API key

messages = [{"content": "Write a short story about AI", "role": "user"}]

# Inception call with streaming
response = completion(
    model="inception/mercury-2",
    messages=messages,
    stream=True
)

for chunk in response:
    print(chunk)

Reasoning Effort and Reasoning Summary

Mercury exposes a reasoning_effort control with an Inception-specific instant value for near real-time responses, alongside the standard low, medium, and high. Set reasoning_summary=True to receive a summary of the model's reasoning on the response.

Inception Reasoning

import os
from litellm import completion

os.environ["INCEPTION_API_KEY"] = ""  # your Inception API key

response = completion(
    model="inception/mercury-2",
    messages=[{"role": "user", "content": "If a bat and ball cost $1.10 and the bat is $1 more than the ball, how much is the ball?"}],
    reasoning_effort="high",
    reasoning_summary=True,
)

print(response.choices[0].message.content)
print(response.reasoning_summary)  # {"content": "...", "status": "complete"}

Function Calling

Inception Function Calling

import os
from litellm import completion

os.environ["INCEPTION_API_KEY"] = ""  # your Inception API key

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Get the current weather in a location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {
                    "type": "string",
                    "description": "The city and state, e.g. San Francisco, CA"
                }
            },
            "required": ["location"]
        }
    }
}]

messages = [{"role": "user", "content": "What's the weather in Boston?"}]

response = completion(
    model="inception/mercury-2",
    messages=messages,
    tools=tools,
    tool_choice="auto"
)

print(response)

Fill-in-the-Middle (FIM)

mercury-edit-2 provides code autocomplete through Inception's /v1/fim/completions endpoint. Use text_completion with the text-completion-inception/ route and pass a prompt (prefix) plus an optional suffix.

Inception FIM

import os
from litellm import text_completion

os.environ["INCEPTION_API_KEY"] = ""  # your Inception API key

response = text_completion(
    model="text-completion-inception/mercury-edit-2",
    prompt="def add(a, b):\n    return ",
    suffix="\n",
    max_tokens=64,
)

print(response.choices[0].text)

Usage - LiteLLM Proxy Server

config.yaml

model_list:
  - model_name: mercury-2
    litellm_params:
      model: inception/mercury-2
      api_key: os.environ/INCEPTION_API_KEY
  - model_name: mercury-edit-2
    litellm_params:
      model: text-completion-inception/mercury-edit-2
      api_key: os.environ/INCEPTION_API_KEY

Supported OpenAI Parameters

• max_tokens
• max_completion_tokens
• temperature
• stop
• tools
• tool_choice
• stream
• stream_options
• response_format

Inception-specific Parameters

These are passed through to the Inception chat API:

• reasoning_effort (instant | low | medium | high)
• reasoning_summary (bool) — return a summary of the model's reasoning
• reasoning_summary_wait (bool) — wait for the summary to complete before returning
• diffusing (bool) — stream intermediate denoising steps
• realtime (bool) — optimize for lowest latency