# Agent Configuration

Every agent in [**Texor.Cloud**](https://texor.cloud/) can be configured with input parameters and behavioral settings that define how it operates at runtime. This allows a single agent structure to support multiple variations, adapt to different use cases, and be reused across teams, users, or environments without changing the underlying logic.

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#### Parameterized Inputs

Agents can accept parameters during deployment or invocation. These parameters might include wallet addresses, frequency intervals, token thresholds, model settings, or any variable the logic depends on. Inputs are scoped to each agent instance and can be edited without altering the base logic.

This creates flexibility. A trading strategy can run on different token pairs. A monitoring agent can watch different contracts. A research flow can target different keywords.

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#### Runtime Configuration

Beyond static parameters, agents can be configured to behave differently at runtime. You can define things like execution intervals, trigger conditions based on external data, model-specific prompt templates, or fallback logic for failure states.

Each agent becomes a dynamic unit that adapts to context without requiring full reconfiguration or rebuilding.

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#### Pre-Deployment Adjustments

Before an agent is published or activated, the builder can define which inputs are fixed and which are editable. This allows creators to expose only the fields that matter to the end user, keeping agents simple to use but powerful in function.

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#### Agent Templates with Custom Fields

Templates can include preconfigured parameters while still allowing modification. For example, a prebuilt agent might come with default Web3 endpoints, logic thresholds, or notification channels, and all of these can be customized at deployment.

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This level of configurability enables real reuse, monetization, and system-level composability. You are not just building workflows. You are defining programmable agents with scoped logic and flexible behavior.
