Subconscious

How to use LangChain with Subconscious

Let your AI do the setup. Paste this into Claude Code, Cursor, ChatGPT or any assistant.

Make Subconscious the model provider in my LangChain project.

Subconscious is an inference API for agents. It serves open models through OpenAI- and Anthropic-compatible endpoints, billed per token.
- OpenAI-compatible base URL: https://api.subconscious.dev/v1
- Anthropic-compatible base URL: https://api.subconscious.dev
- Model: subconscious/glm-5.3-marathon
- API key: read it from the SUBCONSCIOUS_API_KEY environment variable. Never commit the key or paste it into project files. If it is not set, ask me to create one at https://platform.subconscious.dev.

Follow these steps. Run commands and edit files yourself. If I already have agent code, change its model setup to match the example instead of adding a new file.

1. Install LangChain
Install the framework and its OpenAI-compatible client.
```bash
pip install -U langchain langchain-openai
```

2. Create a Subconscious API key
Sign in at https://platform.subconscious.dev, create an API key, and export it so the tool can read it.
```bash
export SUBCONSCIOUS_API_KEY="your_key"
```

3. Point it at Subconscious
create_agent is LangChain's v1 agent API. use_responses_api=False keeps ChatOpenAI on Chat Completions, which is the OpenAI format Subconscious serves.
```python
import os
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI

model = ChatOpenAI(
    model="subconscious/glm-5.3-marathon",
    base_url="https://api.subconscious.dev/v1",
    api_key=os.environ["SUBCONSCIOUS_API_KEY"],
    use_responses_api=False,
)

def get_weather(city: str) -> str:
    """Get the weather for a city."""
    return f"It's always sunny in {city}."

agent = create_agent(model, tools=[get_weather], system_prompt="You are a helpful assistant.")
result = agent.invoke({"messages": [{"role": "user", "content": "What's the weather in SF?"}]})
print(result["messages"][-1].content)
```

4. Run it
Run the script.
```bash
python agent.py
```

Full guide: https://www.subconscious.dev/agents/frameworks/langchain.md

When you are done, confirm the tool is using subconscious/glm-5.3-marathon, then summarize what you changed.

To use LangChain with Subconscious, create a ChatOpenAI model with base_url="https://api.subconscious.dev/v1", model="subconscious/glm-5.3-marathon" and your Subconscious API key, then pass it to create_agent. Your LangChain agent runs on GLM-5.3 Marathon through the OpenAI-compatible Subconscious API.

Get an API keyRead the API docs

Last verified against the LangChain docs on

Before you start

  • Python 3.10+
  • A Subconscious account and API key

LangChain docs · Source on GitHub

Set up LangChain

  1. Step 1: Install LangChain

    Install the framework and its OpenAI-compatible client.

    Terminal
    pip install -U langchain langchain-openai

  2. Step 2: Create a Subconscious API key

    Sign in at https://platform.subconscious.dev, create an API key, and export it so the tool can read it.

    Terminal
    export SUBCONSCIOUS_API_KEY="your_key"

  3. Step 3: Point it at Subconscious

    create_agent is LangChain's v1 agent API. use_responses_api=False keeps ChatOpenAI on Chat Completions, which is the OpenAI format Subconscious serves.

    agent.py
    import os
from langchain.agents import create_agent
from langchain_openai import ChatOpenAI

model = ChatOpenAI(
    model="subconscious/glm-5.3-marathon",
    base_url="https://api.subconscious.dev/v1",
    api_key=os.environ["SUBCONSCIOUS_API_KEY"],
    use_responses_api=False,
)

def get_weather(city: str) -> str:
    """Get the weather for a city."""
    return f"It's always sunny in {city}."

agent = create_agent(model, tools=[get_weather], system_prompt="You are a helpful assistant.")
result = agent.invoke({"messages": [{"role": "user", "content": "What's the weather in SF?"}]})
print(result["messages"][-1].content)

  4. Step 4: Run it

    Run the script.

    Terminal
    python agent.py

Why run LangChain on Subconscious

No new SDK
Subconscious speaks OpenAI Chat Completions and Anthropic Messages, so the client you already use works with a base URL change.
Pay per token
No plan and no commitment: sign up, get an API key and pay for the tokens your agents use.
Long sessions stay fast
2x faster task completion on long tasks than standard open-model inference, especially past 200k tokens of context.
Context that keeps going
The OrangeLine runtime compresses the parts of context that stopped mattering, on the GPU, while the run continues. That gives a 5M+ token context window with no stop-and-compact pause.

Connection details

For any client that takes a custom OpenAI- or Anthropic-compatible endpoint.

OpenAI-compatible base URL
https://api.subconscious.dev/v1
Anthropic-compatible base URL
https://api.subconscious.dev
API key
From subc login or the Subconscious dashboard
Model
subconscious/glm-5.3-marathon
Multimodal, high-throughput model
subconscious/deepseek-v4.1-flash-marathon

Full reference in the Subconscious API docs.

Questions

Which Subconscious model should I use with LangChain?
Start with subconscious/glm-5.3-marathon, an open frontier coding model built for long agent runs. subconscious/deepseek-v4.1-flash-marathon is a cheaper, high-throughput alternative that also takes image input. Use the full model ID, including the subconscious/ prefix.
Is LangChain on Subconscious OpenAI- or Anthropic-compatible?
This guide connects LangChain through the OpenAI-compatible Subconscious API. Subconscious serves both formats: OpenAI Chat Completions at https://api.subconscious.dev/v1 and Anthropic Messages at https://api.subconscious.dev.
How is LangChain usage on Subconscious billed?
Per token by default, with no commitment. Heavy users can switch to a monthly token plan: a fixed price for a large daily token allowance shared across your team.

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