Settings
Settings
The Settings tab is where you define, refine, and fine-tune how your agent behaves—both as a trader and as an AI personality.
Agent Status & Early Access
At the top of the page you’ll see the Agent Status card:
Shows whether your agent is Active or Deactivated
Displays your CDX balance
Lets early supporters with 100,000 CDX on Base claim free early-access credits to run the app
This is the operational control center for starting or pausing your agent.
Core Personality
Shape how your agent communicates and responds:
Personality Description – The fundamental character (e.g., professional, degen, humorous).
Communication Tone – Formal, conversational, or anything in between.
Response Length – Concise or more elaborate, depending on your needs.
Adjust these to give your trading agent a unique voice and presence.
Thinking & Learning
Define the way your agent reasons and improves:
Thought Styles – Choose Chain of Thought, Graph of Thought, Tree of Thought, or Reflection for different reasoning paths.
Adaptive Learning – Enable to let the agent learn from interactions.
Context Memory – Allow it to remember ongoing conversations and decisions.
You can also set Max Context Length to balance deep memory with cost and speed.
Trading Approach
This is where you control the guardrails for every trade. The trading style and strategy defined during agent creation are stored here for easy editing:
Update risk parameters and execution logic
Refine trigger commands
Adjust growth targets and trading philosophy
Important: If you want to modify your agent’s trading strategy later, this is the place to do it.
Optimizations
Cod3x lets you fine-tune how each goal uses compute resources. These Credit Usage Optimization settings help reduce costs without affecting overall performance.
Skip Final Chat Formatting Returns raw model output instead of formatted text. much simpler output.
Skip Step Completion Assessment Bypasses additional verification logic after each step. This slightly increases speed and lowers credit use at the cost of skipping LLM self-checks.
Enable LLM Model Auto-Selection Allows Cod3x to automatically choose the most efficient model for each task based on complexity — using smaller models for simple steps and larger ones when needed.
Advanced Parameters
The Advanced Parameters section lets you fine-tune how your selected model behaves when running a goal. Cod3x supports hundreds of LLMs across providers like Anthropic, OpenAI, and xAI — each optimized for different types of reasoning and execution.
By default, Claude Sonnet 4.5 is selected. Our internal testing shows that Sonnet offers the best balance between analytical precision, execution stability, and cost efficiency. However, users can freely switch to alternative models depending on preference, cost targets, or desired response style.
Model Settings
Temperature – Controls output creativity. Lower values produce focused, deterministic responses; higher values encourage more exploratory ideas.
Top P – Adjusts the probability range of word sampling, influencing output diversity and tone.
Frequency Penalty – Reduces repetition across responses, ensuring less echoing or redundancy.
Presence Penalty – Encourages the model to explore new topics and avoid looping around previous ideas.
These parameters allow advanced users to shape model behavior for consistent execution, custom style, or maximized reasoning depth — depending on the task.
⚙️ Tip: If you’re unsure where to start, use the default settings. Cod3x automatically optimizes these values for balanced performance.
Feature Availability
Many personality and reasoning features are still being finalized. Except for Trading Approach, which is fully live, some options (like deep adaptive learning or full social engagement) may remain partially functional during beta.
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