Conditions

Conditions allow a workflow to make decisions during execution. Instead of always following a fixed sequence, a workflow can evaluate runtime information and select different execution paths. Conceptually:

Workflow State
      |
      v
  Condition
   /     \
True     False
 |         |
 v         v
Branch A  Branch B

Conditions are part of BindAI’s workflow orchestration capabilities. The exact public API for constructing conditional workflow steps should be taken from the installed BindAI implementation.

What Is a Condition?

A condition represents a decision point in a workflow. Conceptually:

Input State
     |
     v
Evaluate Decision
   /       \
True       False
 |           |
 v           v
Path A      Path B

The decision determines which part of the workflow continues. A condition should generally focus on deciding what happens next, while the operations on each branch perform the actual work.

Why Use Conditions?

Conditions allow workflows to:

Make business decisions
Validate information
Select different execution paths
Skip unnecessary work
Handle success and failure differently
Implement approval processes
Route requests dynamically
Respond to runtime results

Without conditional execution, workflows are limited to predetermined execution paths.

Condition Lifecycle

A conditional operation can be understood as:

Receive Runtime Information
          |
          v
    Evaluate Decision
          |
          v
     Select Branch
          |
          v
    Continue Workflow

The condition evaluates information already available to the workflow. The selected branch then continues execution.

Using Workflow State

Conditions commonly make decisions using results produced by previous workflow operations. For example:

Review
  |
  v
Approval Result
  |
  v
Condition
 /       \
Approved  Rejected

The review operation produces information, and the condition uses that information to determine the next path. Possible decision inputs include:

Agent results
Tool results
Validation results
External-service responses
Application data
Workflow state

The exact state-access API depends on the workflow implementation.

Predicate Logic

A condition can conceptually be represented by a predicate. For example:

def is_approved(state):
    return state["approved"] is True

The predicate receives the relevant execution information and returns a decision. The important properties are that the decision should be:

Deterministic where possible
Easy to understand
Independently testable
Based on explicit data

This example is illustrative. It does not establish a specific BindAI predicate signature.

Example: Purchase Approval

Consider a purchase approval workflow:

Start
  |
  v
Review
  |
  v
Condition
 /       \
Approved  Rejected
 |           |
 v           v
Process     Reject
 \           /
  \         /
   v       v
      End

The review operation produces the information required for the decision. The condition selects the appropriate branch.

Branching Logic

A condition can separate workflow execution into different paths. For example:

Condition
├── Approved
│   └── Payment
│
└── Rejected
    └── Notification

The branches can contain different combinations of:

Agents
Tools
Knowledge retrieval
External integrations
Additional conditions
Human tasks
Other workflow operations

Multiple Conditions

A workflow can contain multiple decision points.

Start
  |
  v
Condition A
  |
  v
Agent
  |
  v
Condition B
  |
  v
Tool
  |
  v
End

Each condition evaluates the information available at that point in execution. This allows decisions to be made progressively as the workflow produces new information.

Chained Conditions

Conditions can form decision trees.

Condition A
├── True
│   └── Condition B
│
└── False
    └── Condition C

For example:

Is Customer Active?

├── Yes
│   └── Is Payment Valid?
│       ├── Yes → Process Order
│       └── No  → Request Payment
│
└── No
    └── Reject Order

Keeping decisions separated into meaningful stages can make complex workflows easier to understand and test.

Nested Decisions

A condition can lead to another conditional decision.

Condition A
 /       \
True     False
 |
 v
Condition B
 |
 v
Continue

Nested decisions are useful for complex business processes. However, deeply nested decision trees can become difficult to maintain. When a workflow becomes too complex, consider splitting it into smaller workflow stages or reusable operations.

Common Use Cases

Conditions are useful for:

Approval workflows
Validation checks
Confidence thresholds
Payment status
Inventory availability
Customer classification
Permission checks
Feature flags
Request routing
Error handling
Fallback decisions

Condition vs Prompt Logic

Business decisions should generally be represented explicitly in workflow orchestration rather than hidden inside model instructions.

Prompt Logic	Workflow Condition
Hidden inside instructions	Explicit workflow operation
Depends on model behavior	Can be deterministic
Harder to inspect	Easier to inspect
Harder to test	Easier to test
Mixed with AI reasoning	Separate from orchestration

For example, an agent might produce an approval decision:

Review Agent
     |
     v
Approval Result
     |
     v
Workflow Condition
 /              \
Approved       Rejected
 |                |
 v                v
Continue          Stop

The agent can perform reasoning. The workflow condition controls the execution path. This separation makes the overall system easier to inspect and test.

Combining Conditions

A decision can depend on multiple pieces of information. Conceptually:

Approved
   AND
Payment Received
   |
   v
Continue

Another workflow may use alternatives:

Approved
   OR
Manual Override
   |
   v
Continue

When a decision becomes complicated, prefer several clearly named decisions over one large Boolean expression. For example:

Validate Customer
       |
       v
Check Payment
       |
       v
Check Approval
       |
       v
Continue

This makes the workflow graph easier to understand.

Missing or Invalid Values

Conditions should define predictable behavior when required information is missing. For optional values, a safe default may be appropriate. For required values, validation should happen before the condition:

Input
  |
  v
Validation
  |
  v
Condition

This separates two responsibilities:

Validation determines whether the input is usable.
The condition determines what path should execute.

This also makes failures easier to diagnose.

Condition Errors

A condition can fail because:

Required information is missing
Input data has an unexpected type
A predicate raises an exception
An external dependency fails
Workflow state is invalid

The workflow execution layer determines how such failures are handled. Possible strategies include:

Condition Error
├── Stop
├── Retry
├── Fallback
└── Error Path

Applications should rely only on failure behavior provided by the implemented workflow API.

Conditions and Retries

Conditions can be used to control retry behavior. For example:

Operation
   |
   v
Successful?
 /        \
Yes        No
 |          |
 v          v
Continue   Retry
             |
             v
        Maximum Attempts?
          /          \
        No            Yes
        |              |
        v              v
     Operation        Stop

The retry mechanism and its configuration are separate concerns from the condition itself. A condition can determine whether execution should continue, while retry configuration determines how failed operations are repeated.

Conditions and Human Approval

Conditions can also route workflows based on human decisions.

Automated Review
      |
      v
Human Approval
      |
      v
Condition
   /       \
Approved   Rejected
   |          |
   v          v
Execute      Stop

This is useful when automated processing should pause before a sensitive or irreversible action.

Conditions and Agents

Agents can produce information that a later workflow condition evaluates. For example:

Agent
  |
  v
Classification
  |
  v
Condition
 /       \
Support  Sales
 |         |
 v         v
Agent A   Agent B

This allows an agent to perform reasoning while the workflow explicitly controls routing. The distinction is important:

The agent determines or produces information.
The workflow determines what execution path follows.

Conditions and Tools

Tools can also produce information used by conditions.

Tool
 |
 v
Tool Result
 |
 v
Condition
 /       \
Success  Failure
 |         |
 v         v
Continue  Fallback

Because ToolResult explicitly represents success, value, and error information, tool execution can provide a clear boundary for downstream workflow decisions.

Conditions and Knowledge

Knowledge retrieval can also participate in conditional workflows. For example:

Retrieve Knowledge
        |
        v
Relevant Results?
     /       \
   Yes        No
    |          |
    v          v
   Agent     Fallback

A workflow can use retrieval results to determine whether additional processing is appropriate. The Knowledge layer remains responsible for retrieval; the workflow controls the resulting execution path.

Conditions and External Integrations

External services can produce information used for workflow decisions. For example:

External Service
       |
       v
Response
       |
       v
Condition
    /       \
Success     Failure
   |           |
   v           v
Continue     Retry

This is particularly useful for integrations where service responses determine subsequent workflow behavior.

Testing Conditions

Conditional logic should be tested for both possible outcomes. For a decision such as:

approved → true
approved → false

test at least:

approved = True
→ Approved branch

approved = False
→ Rejected branch

Also test relevant edge cases:

Missing values
Invalid values
Boundary values
Unexpected result types
Predicate failures
Failure-path behavior

Testing both branches prevents workflows from being validated only for their successful path.

Condition Design

Good conditions should be:

Small
Deterministic where possible
Readable
Independently testable
Based on explicit workflow information
Focused on one decision

Avoid placing large amounts of business logic directly inside a condition. Prefer:

Prepare Data
     |
     v
Validate Data
     |
     v
Evaluate Decision
     |
     v
Condition
     |
     v
Execute Branch

This keeps data preparation, validation, decision-making, and execution separate.

Best Practices

Keep condition logic short and readable.
Base decisions on explicit workflow information.
Keep deterministic business logic outside model prompts.
Use descriptive names for decisions and values.
Prefer several simple decisions over one large expression.
Keep both branches understandable.
Validate required information before making a decision.
Define behavior for missing values.
Test true, false, and edge-case outcomes.
Avoid unnecessarily deep decision trees.
Keep reasoning separate from workflow routing.
Define failure behavior explicitly.
Document verified APIs rather than assumed workflow methods.

Current BindAI Scope

BindAI currently supports conditional execution as part of its workflow orchestration capabilities. Conditions can be used conceptually to:

Select execution paths
Route agent and tool operations
Handle success and failure
Implement approval flows
Control loops
Coordinate retries and fallbacks
Route external integration results
Combine multiple workflow stages

The exact public API for defining and connecting conditional steps should be documented from the installed implementation and its tests. This document intentionally does not assume specific APIs such as:

builder.condition(...)
ConditionNode(...)
WorkflowNode(...)

unless those names are verified in the current BindAI release.

API Accuracy

Workflow documentation should distinguish between workflow behavior and workflow implementation details. The behavior described here includes conditional execution and branching. Implementation details such as:

Condition classes
Predicate signatures
Context classes
Branch-registration methods
Condition serialization
Condition-specific retry methods

should only be documented when they are part of the verified public API. This prevents examples from becoming misleading as the workflow engine evolves.

Summary

Conditions provide the decision-making layer of workflow orchestration. They allow BindAI workflows to evaluate runtime information and select different execution paths. A typical conditional workflow looks like:

Operation
    |
    v
Condition
  /     \
Yes      No
 |        |
 v        v
Path A   Path B

Conditions work alongside agents, tools, Knowledge, Memory, external integrations, loops, retries, timeouts, and human tasks. The core principle is:

Agents can perform reasoning; workflow conditions control execution.

Keeping these responsibilities separate produces workflows that are easier to inspect, test, maintain, and evolve.

​Conditions

​What Is a Condition?

​Why Use Conditions?

​Condition Lifecycle

​Using Workflow State

​Predicate Logic

​Example: Purchase Approval

​Branching Logic

​Multiple Conditions

​Chained Conditions

​Nested Decisions

​Common Use Cases

​Condition vs Prompt Logic

​Combining Conditions

​Missing or Invalid Values

​Condition Errors

​Conditions and Retries

​Conditions and Human Approval

​Conditions and Agents

​Conditions and Tools

​Conditions and Knowledge

​Conditions and External Integrations

​Testing Conditions

​Condition Design

​Best Practices

​Current BindAI Scope

​API Accuracy

​Summary