beyhan/bifrost
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

first commit

Browse Source
This commit is contained in:
Beyhan Oğur
2026-04-26 21:52:23 +03:00
commit 880f412e2c
2662 changed files with 866266 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

104
docs/integrations/guardrails/aws-bedrock.mdx Normal file
View File

@@ -0,0 +1,104 @@
---
title: "AWS Bedrock Guardrails"
description: "Integrate AWS Bedrock Guardrails with Bifrost for enterprise-grade content filtering, PII protection, prompt attack detection, and image content analysis."
icon: "aws"
---
Bifrost integrates with **Amazon Bedrock Guardrails** to provide enterprise-grade content filtering and safety features with deep AWS integration. This page covers the configuration and capabilities of the AWS Bedrock guardrail provider.
![AWS Bedrock Guardrails configuration form](/media/guardrails/bedrock-guardrails-provider-details.png)
## Capabilities
- **Content Filters**: Hate speech, insults, sexual content, violence, misconduct
- **Denied Topics**: Block specific topics or categories
- **Word Filters**: Custom profanity and sensitive word blocking
- **PII Protection**: Detect and redact 50+ PII entity types
- **Contextual Grounding**: Verify responses against source documents
- **Prompt Attack Detection**: Identify injection and jailbreak attempts
- **Image Content Support**: Analyze images in addition to text (PNG, JPEG)
## Configuration Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `access_key` | string | Yes | - | AWS Access Key ID |
| `secret_key` | string | Yes | - | AWS Secret Access Key |
| `guardrail_arn` | string | Yes | - | ARN of the Bedrock guardrail |
| `guardrail_version` | string | Yes | - | Version of the guardrail (e.g., "1", "DRAFT") |
| `region` | string | Yes | - | AWS region |
## Authentication
Uses AWS SDK with static credentials:
```json
{
"access_key": "AKIAXXXXXXXXXXXXXXXXXX",
"secret_key": "your-secret-access-key",
"guardrail_arn": "arn:aws:bedrock:us-east-1:123456789:guardrail/abc123",
"guardrail_version": "1",
"region": "us-east-1"
}
```
## Supported AWS Regions
| Region Code | Region Name |
|-------------|-------------|
| `us-east-1` | US East (N. Virginia) |
| `us-east-2` | US East (Ohio) |
| `us-west-1` | US West (N. California) |
| `us-west-2` | US West (Oregon) |
| `ap-south-1` | Asia Pacific (Mumbai) |
| `ap-northeast-1` | Asia Pacific (Tokyo) |
| `ap-northeast-2` | Asia Pacific (Seoul) |
| `ap-southeast-1` | Asia Pacific (Singapore) |
| `ap-southeast-2` | Asia Pacific (Sydney) |
| `eu-central-1` | Europe (Frankfurt) |
| `eu-west-1` | Europe (Ireland) |
| `eu-west-2` | Europe (London) |
| `eu-west-3` | Europe (Paris) |
## Supported Content Types
- Text content
- Images (PNG, JPEG formats)
## Usage Metrics Returned
Bedrock guardrails return detailed usage metrics for cost tracking and monitoring:
| Metric | Description |
|--------|-------------|
| `content_policy_units` | Units consumed by content policy evaluation |
| `contextual_grounding_policy_units` | Units for grounding checks |
| `sensitive_information_policy_units` | Units for PII detection |
| `topic_policy_units` | Units for topic filtering |
| `word_policy_units` | Units for word filtering |
| `automated_reasoning_policy_units` | Units for reasoning checks |
| `content_policy_image_units` | Units for image content analysis |
## Supported PII Types
- Personal identifiers (SSN, passport, driver's license)
- Financial information (credit cards, bank accounts)
- Contact information (email, phone, address)
- Medical information (health records, insurance)
- Device identifiers (IP addresses, MAC addresses)
## Provider Capabilities Comparison
| Capability | AWS Bedrock | Azure Content Safety | GraySwan | Patronus AI |
|------------|-------------|---------------------|----------|-------------|
| PII Detection | Yes | No | No | Yes |
| Content Filtering | Yes | Yes | Yes | Yes |
| Prompt Injection | Yes | Yes | Yes | Yes |
| Hallucination Detection | No | No | No | Yes |
| Toxicity Screening | Yes | Yes | Yes | Yes |
| Custom Policies | Yes | Yes | Yes | Yes |
| Custom Natural Language Rules | No | No | Yes | No |
| Image Support | Yes | No | No | No |
| IPI Detection | No | Yes | Yes | No |
| Mutation Detection | No | No | Yes | No |
For information on configuring guardrail rules and profiles, see [Guardrails](/enterprise/guardrails).

80
docs/integrations/guardrails/azure-content-safety.mdx Normal file
View File

@@ -0,0 +1,80 @@
---
title: "Azure Content Safety"
description: "Integrate Azure AI Content Safety with Bifrost for multi-modal content moderation, severity-based filtering, prompt shield, and custom blocklist support."
icon: "microsoft"
---
Bifrost integrates with **Azure AI Content Safety** to provide multi-modal content moderation powered by Microsoft's advanced AI models. This page covers the configuration and capabilities of the Azure Content Safety guardrail provider.
![Azure Content Safety configuration form](/media/guardrails/azure-config-on-bifrost.png)
## Capabilities
- **Severity-Based Filtering**: 4-level severity classification (Safe, Low, Medium, High)
- **Multi-Category Detection**: Hate, sexual, violence, self-harm content
- **Prompt Shield**: Advanced jailbreak and injection detection
- **Indirect Attack Detection**: Identify hidden malicious instructions
- **Protected Material**: Detect copyrighted content (output only)
- **Custom Blocklists**: Define organization-specific blocked terms
## Configuration Fields
| Field | Type | Required | Default | Description |
| -------------------------------- | ------- | -------- | -------- | ------------------------------------------------------------ |
| `endpoint` | string | Yes | - | Azure Content Safety endpoint URL |
| `api_key` | string | Yes | - | Azure subscription key |
| `analyze_enabled` | boolean | No | true | Enable content analysis for Hate, Sexual, Violence, SelfHarm |
| `analyze_severity_threshold` | enum | No | "medium" | Severity level to trigger: `low`, `medium`, or `high` |
| `jailbreak_shield_enabled` | boolean | No | false | Enable jailbreak detection (input only) |
| `indirect_attack_shield_enabled` | boolean | No | false | Enable indirect prompt attack detection (input only) |
| `copyright_enabled` | boolean | No | false | Enable copyrighted content detection (output only) |
| `text_blocklist_enabled` | boolean | No | false | Enable custom blocklist filtering |
| `blocklist_names` | array | No | - | List of Azure blocklist names to apply |
## Collecting your API key and URL
Navigate to Azure foundry dashboard
<Frame>
<img src="/media/guardrails/azure-api-key.png" alt="Azure foundry dashboard" />
</Frame>
- Copy API key to use it in the Azure content moderation config form
- Copy project endpoint and use base URL as endpoint in the form. e.g. (`https://xxx-resource.services.ai.azure.com`)
## Severity Threshold Levels
| Threshold | Numeric Value | Behavior |
| --------- | ------------- | ----------------------------------------- |
| `low` | 2 | Most strict - blocks severity 2 and above |
| `medium` | 4 | Balanced - blocks severity 4 and above |
| `high` | 6 | Least strict - blocks only severity 6 |
## Detection Categories
- Hate and fairness
- Sexual content
- Violence
- Self-harm
<Note>
**Input-only features:** Jailbreak Shield and Indirect Attack Shield only apply to input validation. **Output-only
features:** Copyright detection only applies to output validation.
</Note>
## Provider Capabilities Comparison
| Capability | AWS Bedrock | Azure Content Safety | GraySwan | Patronus AI |
| ----------------------------- | ----------- | -------------------- | -------- | ----------- |
| PII Detection | Yes | No | No | Yes |
| Content Filtering | Yes | Yes | Yes | Yes |
| Prompt Injection | Yes | Yes | Yes | Yes |
| Hallucination Detection | No | No | No | Yes |
| Toxicity Screening | Yes | Yes | Yes | Yes |
| Custom Policies | Yes | Yes | Yes | Yes |
| Custom Natural Language Rules | No | No | Yes | No |
| Image Support | Yes | No | No | No |
| IPI Detection | No | Yes | Yes | No |
| Mutation Detection | No | No | Yes | No |
For information on configuring guardrail rules and profiles, see [Guardrails](/enterprise/guardrails).

70
docs/integrations/guardrails/grayswan.mdx Normal file
View File

@@ -0,0 +1,70 @@
---
title: "GraySwan Cygnal"
description: "Integrate GraySwan Cygnal Monitor with Bifrost for AI safety monitoring with natural language rule definitions, violation scoring, and advanced threat detection."
icon: "shield-check"
---
Bifrost integrates with **GraySwan Cygnal Monitor** to provide AI safety monitoring with natural language rule definitions and advanced threat detection capabilities. This page covers the configuration and capabilities of the GraySwan Cygnal guardrail provider.
![GraySwan configuration form](/media/guardrails/gray-swan-config-on-bifrost.png)
## Capabilities
- **Violation Scoring**: Continuous 0-1 scale violation detection with configurable thresholds
- **Custom Natural Language Rules**: Define safety rules in plain English without code
- **Policy Management**: Use pre-built policies from GraySwan platform or create custom ones
- **Indirect Prompt Injection (IPI) Detection**: Identify hidden instructions in user inputs
- **Mutation Detection**: Detect attempts to manipulate or alter content
- **Reasoning Modes**: Choose from fast ("off"), balanced ("hybrid"), or thorough ("thinking") analysis
## Configuration Fields
| Field | Type | Required | Default | Description |
|-------|------|----------|---------|-------------|
| `api_key` | string | Yes | - | GraySwan API key |
| `violation_threshold` | number | No | 0.5 | Score threshold (0-1) for triggering intervention. Lower values are more strict. |
| `reasoning_mode` | enum | No | "off" | Analysis depth: `off` (fastest), `hybrid` (balanced), or `thinking` (most thorough) |
| `policy_id` | string | No | - | Single custom policy ID from GraySwan platform |
| `policy_ids` | array | No | - | Multiple policy IDs for aggregated rule evaluation |
| `rules` | object | No | - | Custom natural language rules as key-value pairs |
## Custom Rules Example
![GraySwan custom rules](/media/guardrails/gray-swan-custom-rule.png)
Rules are defined as key-value pairs where the key is the rule name and the value is a natural language description:
```json
{
"rules": {
"no_profanity": "Do not allow profanity or vulgar language",
"no_pii": "Do not allow personally identifiable information",
"professional_tone": "Ensure all responses maintain a professional tone"
}
}
```
## Detection Features
- Real-time violation scoring
- Multi-rule evaluation
- IPI attack detection
- Content mutation monitoring
- Detailed violation descriptions with rule attribution
## Provider Capabilities Comparison
| Capability | AWS Bedrock | Azure Content Safety | GraySwan | Patronus AI |
|------------|-------------|---------------------|----------|-------------|
| PII Detection | Yes | No | No | Yes |
| Content Filtering | Yes | Yes | Yes | Yes |
| Prompt Injection | Yes | Yes | Yes | Yes |
| Hallucination Detection | No | No | No | Yes |
| Toxicity Screening | Yes | Yes | Yes | Yes |
| Custom Policies | Yes | Yes | Yes | Yes |
| Custom Natural Language Rules | No | No | Yes | No |
| Image Support | Yes | No | No | No |
| IPI Detection | No | Yes | Yes | No |
| Mutation Detection | No | No | Yes | No |
For information on configuring guardrail rules and profiles, see [Guardrails](/enterprise/guardrails).

40
docs/integrations/guardrails/patronus-ai.mdx Normal file
View File

@@ -0,0 +1,40 @@
---
title: "Patronus AI"
description: "Integrate Patronus AI with Bifrost for LLM security and safety including hallucination detection, PII identification, toxicity screening, and custom evaluators."
icon: "brain"
---
Bifrost integrates with **Patronus AI** to provide specialized LLM security and safety with advanced evaluation capabilities. This page covers the configuration and capabilities of the Patronus AI guardrail provider.
## Capabilities
- **Hallucination Detection**: Identify factually incorrect responses
- **PII Detection**: Comprehensive personal data identification
- **Toxicity Screening**: Multi-language toxic content detection
- **Prompt Injection Defense**: Advanced attack pattern recognition
- **Custom Evaluators**: Build organization-specific safety checks
- **Real-Time Monitoring**: Continuous safety validation
## Advanced Features
- Context-aware evaluation
- Multi-turn conversation analysis
- Custom policy templates
- Integration with existing safety workflows
## Provider Capabilities Comparison
| Capability | AWS Bedrock | Azure Content Safety | GraySwan | Patronus AI |
|------------|-------------|---------------------|----------|-------------|
| PII Detection | Yes | No | No | Yes |
| Content Filtering | Yes | Yes | Yes | Yes |
| Prompt Injection | Yes | Yes | Yes | Yes |
| Hallucination Detection | No | No | No | Yes |
| Toxicity Screening | Yes | Yes | Yes | Yes |
| Custom Policies | Yes | Yes | Yes | Yes |
| Custom Natural Language Rules | No | No | Yes | No |
| Image Support | Yes | No | No | No |
| IPI Detection | No | Yes | Yes | No |
| Mutation Detection | No | No | Yes | No |
For information on configuring guardrail rules and profiles, see [Guardrails](/enterprise/guardrails).