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The official Python SDK for the Subconscious API

Project description

Subconscious

Subconscious SDK

The official Python SDK for the Subconscious API

PyPI version PyPI downloads docs python version license


Installation

pip install subconscious-python
# or
uv add subconscious-python
# or
poetry add subconscious-python

Note: The package name is subconscious-python but you import it as subconscious.

Quick Start

from subconscious import Subconscious

client = Subconscious(api_key="your-api-key")

run = client.run(
    engine="tim-large",
    input={
        "instructions": "Search for the latest AI news and summarize the top 3 stories",
        "tools": [{"type": "platform", "id": "parallel_search"}],
    },
    options={"await_completion": True},
)

print(run.result.answer)

Get Your API Key

Create an API key in the Subconscious dashboard.

Usage

Run and Wait

The simplest way to use the SDK—create a run and wait for completion:

run = client.run(
    engine="tim-large",
    input={
        "instructions": "Analyze the latest trends in renewable energy",
        "tools": [{"type": "platform", "id": "parallel_search"}],
    },
    options={"await_completion": True},
)

print(run.result.answer)
print(run.result.reasoning)  # Structured reasoning nodes

Fire and Forget

Start a run without waiting, then check status later:

run = client.run(
    engine="tim-large",
    input={
        "instructions": "Generate a comprehensive report",
        "tools": [],
    },
)

print(f"Run started: {run.run_id}")

# Check status later
status = client.get(run.run_id)
print(status.status)  # 'queued' | 'running' | 'succeeded' | 'failed' | 'canceled' | 'timed_out'

Poll with Custom Options

run = client.run(
    engine="tim-large",
    input={
        "instructions": "Complex task",
        "tools": [{"type": "platform", "id": "parallel_search"}],
    },
)

# Wait with custom polling options
result = client.wait(
    run.run_id,
    options={
        "interval_ms": 2000,  # Poll every 2 seconds
        "max_attempts": 60,   # Give up after 60 attempts
    },
)

Streaming (Text Deltas)

Stream text as it's generated:

for event in client.stream(
    engine="tim-large",
    input={
        "instructions": "Write a short essay about space exploration",
        "tools": [{"type": "platform", "id": "parallel_search"}],
    },
):
    if event.type == "delta":
        print(event.content, end="", flush=True)
    elif event.type == "done":
        print(f"\n\nRun completed: {event.run_id}")
    elif event.type == "error":
        print(f"Error: {event.message}")

Note: Rich streaming events (reasoning steps, tool calls) are coming soon. Currently, the stream provides text deltas as they're generated.

Tools

# Platform tools (hosted by Subconscious)
parallel_search = {
    "type": "platform",
    "id": "parallel_search",
}

# Function tools (your own functions)
custom_function = {
    "type": "function",
    "name": "get_weather",
    "description": "Get current weather for a location",
    "parameters": {
        "type": "object",
        "properties": {
            "location": {"type": "string"},
        },
        "required": ["location"],
    },
    "url": "https://api.example.com/weather",
    "method": "GET",
    "timeout": 30,
}

# MCP tools
mcp_tool = {
    "type": "mcp",
    "url": "https://mcp.example.com",
    "allow": ["read", "write"],
}

Error Handling

from subconscious import (
    Subconscious,
    SubconsciousError,
    AuthenticationError,
    RateLimitError,
)

try:
    run = client.run(...)
except AuthenticationError:
    print("Invalid API key")
except RateLimitError:
    print("Rate limited, retry later")
except SubconsciousError as e:
    print(f"API error: {e.code} - {e}")

Cancellation

# Cancel a running run
client.cancel(run.run_id)

API Reference

Subconscious

The main client class.

Constructor Options

Option Type Required Default
api_key str Yes -
base_url str No https://api.subconscious.dev/v1

Methods

Method Description
run(engine, input, options) Create a new run
stream(engine, input) Stream text deltas
get(run_id) Get run status
wait(run_id, options) Poll until completion
cancel(run_id) Cancel a running run

Engines

Engine Type Availability Description
tim-small-preview Unified Available Fast and tuned for search tasks
tim-large Compound Available Generalized reasoning engine backed by the power of OpenAI
timini Compound Coming soon Generalized reasoning engine backed by the power of Google Gemini

Run Status

Status Description
queued Waiting to start
running Currently executing
succeeded Completed successfully
failed Encountered an error
canceled Manually canceled
timed_out Exceeded time limit

Requirements

  • Python ≥ 3.8
  • requests

Contributing

Contributions are welcome! Please feel free to submit a pull request.

License

ISC

Support

For support and questions:

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