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Author SHA1 Message Date
Ian cbe0597772 refactor(runner): default replace_scan_prompt to False in _compose_root_instructions_override 2026-10-26 15:52:38 -04:00
ian-at-strix d6f4bc5ced feat(runner): let root_instructions_override replace the root's scan prompt (#1592) 2026-10-26 15:49:51 -04:00
Ahmed Allam 4ac5dc65e4 docs: show Vercel AI Gateway and OpenRouter in the README setup 2026-10-26 19:44:33 +03:00
Ahmed Allam 4bf353fb7b docs: use the vercel_ai_gateway provider for the Vercel AI Gateway setup 2026-10-26 18:58:20 +03:00
Ahmed Allam f121ab03fb docs: update the recommended models in the repo markdown 2026-10-26 18:48:14 +03:00
Ahmed Allam 2c9e9f3444 docs: recommend Vercel AI Gateway alongside OpenRouter and update model ids
Quickstart, providers overview and docs index show GLM-5.3 through Vercel AI Gateway and OpenRouter side by side, Vercel first. Model ids across the provider pages move to the current releases, including DeepSeek V4.1 Flash 1017, and the OpenAI, Anthropic and Gemini pages note the Daybreak, CVP and Fairwind access programs. Docs only, README unchanged.

Closes STR-1686
2026-10-26 18:48:14 +03:00
20 changed files with 194 additions and 69 deletions

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@@ -28,7 +28,7 @@ Target-specific workflows built on the same engine:
- **Open-source CLI (self-hosted):** free, fully local, BYO LLM key, needs Docker. Best for local dev loops, air-gapped/offline, and full control.
```bash
curl -sSL https://strix.ai/install | bash # install
export STRIX_LLM="openrouter/z-ai/glm-5.3" # any LiteLLM model id
export STRIX_LLM="openrouter/z-ai/glm-5.3" # any LiteLLM model id, or vercel_ai_gateway/zai/glm-5.3
export LLM_API_KEY="<key>"
strix -n -t ./ --scan-mode quick --max-budget 10 # headless scan; always use -n
```
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@@ -31,7 +31,7 @@ Thank you for your interest in contributing to Strix! This guide will help you g
3. **Configure your LLM provider**
```bash
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export STRIX_LLM="openrouter/z-ai/glm-5.3" # or vercel_ai_gateway/zai/glm-5.3
export LLM_API_KEY="your-api-key"
```
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@@ -84,7 +84,8 @@ Strix are autonomous AI penetration testing agents that act just like real hacke
curl -sSL https://strix.ai/install | bash
# Configure your AI provider
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export STRIX_LLM="vercel_ai_gateway/zai/glm-5.3" # Vercel AI Gateway
# export STRIX_LLM="openrouter/z-ai/glm-5.3" # OpenRouter
export LLM_API_KEY="your-api-key"
# Run your first security assessment
@@ -296,7 +297,8 @@ jobs:
### Configuration
```bash
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export STRIX_LLM="vercel_ai_gateway/zai/glm-5.3" # Vercel AI Gateway
# export STRIX_LLM="openrouter/z-ai/glm-5.3" # OpenRouter
export LLM_API_KEY="your-api-key"
# Optional
@@ -352,12 +354,14 @@ Each server's tools are namespaced by `name`, for example `github_list_issues`.
**Recommended models for best results:**
- [Z.ai GLM-5.3 on OpenRouter](https://openrouter.ai/z-ai/glm-5.3) - `openrouter/z-ai/glm-5.3` (the default pick)
- [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4`
- [Anthropic Claude Sonnet 4.6](https://claude.com/platform/api) - `anthropic/claude-sonnet-4-6`
- [Google Gemini 3 Pro Preview](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-3-pro-preview`
- [Z.ai GLM-5.3 on Vercel AI Gateway](https://vercel.com/ai-gateway/models/glm-5.3) - `vercel_ai_gateway/zai/glm-5.3` (recommended)
- [Z.ai GLM-5.3 on OpenRouter](https://openrouter.ai/z-ai/glm-5.3) - `openrouter/z-ai/glm-5.3` (recommended)
- [DeepSeek V4.1 Flash on OpenRouter](https://openrouter.ai/deepseek/deepseek-v4.1-flash-1017) - `openrouter/deepseek/deepseek-v4.1-flash-1017`
- [OpenAI GPT-6.1 Sol](https://openai.com/api/) - `openai/gpt-6.1-sol` (needs [Daybreak](https://openai.com/daybreak/) access)
- [Anthropic Claude Opus 5.5](https://claude.com/platform/api) - `anthropic/claude-opus-5-5` (needs [CVP](https://support.claude.com/en/articles/14604842-cyber-verification-program) access)
- [Google Gemini 4 Argon](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-4-argon` (needs [Fairwind](https://deepmind.google/fairwind-program/) access)
- [DeepSeek V4 Pro](https://platform.deepseek.com) - `deepseek/deepseek-v4-pro`
- [Moonshot Kimi K3](https://platform.kimi.ai) - `moonshot/kimi-k3`
- [Moonshot Kimi K3.1 Pro](https://platform.kimi.ai) - `moonshot/kimi-k3.1-pro`
See the [LLM Providers documentation](https://docs.strix.ai/llm-providers/overview) for all supported providers including Vertex AI, Bedrock, Azure, and local models.
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@@ -8,7 +8,7 @@ Configure Strix using environment variables or a config file.
## LLM Configuration
<ParamField path="STRIX_LLM" type="string" required>
Model name in LiteLLM format (e.g., `openrouter/z-ai/glm-5.3`, `openai/gpt-5.4`).
Model name in LiteLLM format (e.g., `openrouter/z-ai/glm-5.3`, `openai/gpt-6.1-sol`).
</ParamField>
<ParamField path="LLM_API_KEY" type="string">
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@@ -35,8 +35,8 @@
"llm-providers/overview",
"llm-providers/openai",
"llm-providers/anthropic",
"llm-providers/openrouter",
"llm-providers/vercel-ai-gateway",
"llm-providers/openrouter",
"llm-providers/vertex",
"llm-providers/bedrock",
"llm-providers/azure",
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@@ -73,7 +73,20 @@ Strix uses a graph of specialized agents for comprehensive security testing:
## Quick Example
```bash
<CodeGroup>
```bash Vercel AI Gateway
# Install
curl -sSL https://strix.ai/install | bash
# Configure
export STRIX_LLM="vercel_ai_gateway/zai/glm-5.3"
export LLM_API_KEY="your-api-key"
# Scan
strix --target ./your-app
```
```bash OpenRouter
# Install
curl -sSL https://strix.ai/install | bash
@@ -84,6 +97,7 @@ export LLM_API_KEY="your-api-key"
# Scan
strix --target ./your-app
```
</CodeGroup>
## Community
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@@ -6,7 +6,7 @@ description: "Configure Strix with Claude models"
## Setup
```bash
export STRIX_LLM="anthropic/claude-sonnet-4-6"
export STRIX_LLM="anthropic/claude-sonnet-5-5"
export LLM_API_KEY="sk-ant-..."
```
@@ -14,8 +14,12 @@ export LLM_API_KEY="sk-ant-..."
| Model | Description |
|-------|-------------|
| `anthropic/claude-sonnet-4-6` | Best balance of intelligence and speed |
| `anthropic/claude-opus-4-6` | Maximum capability for deep analysis |
| `anthropic/claude-sonnet-5-5` | Best balance of intelligence and speed |
| `anthropic/claude-opus-5-5` | Maximum capability for deep analysis |
<Note>
Security testing with Claude needs the [Cyber Verification Program](https://support.claude.com/en/articles/14604842-cyber-verification-program) (CVP). Without it the safety classifiers block most offensive tasks. Red Team Access covers authorized penetration testing.
</Note>
## Get API Key
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@@ -6,7 +6,7 @@ description: "Configure Strix with OpenAI models via Azure"
## Setup
```bash
export STRIX_LLM="azure/your-gpt5-deployment"
export STRIX_LLM="azure/your-gpt6-deployment"
export AZURE_API_KEY="your-azure-api-key"
export AZURE_API_BASE="https://your-resource.openai.azure.com"
export AZURE_API_VERSION="2025-11-01-preview"
@@ -24,7 +24,7 @@ export AZURE_API_VERSION="2025-11-01-preview"
## Example
```bash
export STRIX_LLM="azure/gpt-5.4-deployment"
export STRIX_LLM="azure/gpt-6.1-sol-deployment"
export AZURE_API_KEY="abc123..."
export AZURE_API_BASE="https://mycompany.openai.azure.com"
export AZURE_API_VERSION="2025-11-01-preview"
@@ -33,5 +33,9 @@ export AZURE_API_VERSION="2025-11-01-preview"
## Prerequisites
1. Create an Azure OpenAI resource
2. Deploy a model (e.g., GPT-5.4)
2. Deploy a model such as GPT-6.1 Sol
3. Get the endpoint URL and API key from the Azure portal
<Note>
Security testing with OpenAI models needs [Daybreak](https://openai.com/daybreak/) access, also on Azure.
</Note>
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@@ -6,7 +6,7 @@ description: "Configure Strix with models via AWS Bedrock"
## Setup
```bash
export STRIX_LLM="bedrock/anthropic.claude-4-5-sonnet-20251022-v1:0"
export STRIX_LLM="bedrock/us.anthropic.claude-sonnet-5-5"
```
No API key required—uses AWS credentials from environment.
@@ -36,10 +36,13 @@ Automatically uses instance role credentials.
| Model | Description |
|-------|-------------|
| `bedrock/anthropic.claude-4-5-sonnet-20251022-v1:0` | Claude 4.5 Sonnet |
| `bedrock/anthropic.claude-4-5-opus-20251022-v1:0` | Claude 4.5 Opus |
| `bedrock/anthropic.claude-4-5-haiku-20251022-v1:0` | Claude 4.5 Haiku |
| `bedrock/amazon.titan-text-premier-v2:0` | Amazon Titan Premier v2 |
| `bedrock/us.anthropic.claude-sonnet-5-5` | Claude Sonnet 5.5 |
| `bedrock/us.anthropic.claude-opus-5-5` | Claude Opus 5.5 |
| `bedrock/us.anthropic.claude-haiku-5-5` | Claude Haiku 5.5 |
<Note>
Security testing with Claude needs the [Cyber Verification Program](https://support.claude.com/en/articles/14604842-cyber-verification-program) (CVP), also on Bedrock.
</Note>
## Prerequisites
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@@ -8,7 +8,7 @@ description: "Configure Strix with Novita AI models"
## Setup
```bash
export STRIX_LLM="openai/moonshotai/kimi-k2.5"
export STRIX_LLM="openai/zai-org/glm-5.3"
export LLM_API_KEY="your-novita-api-key"
export LLM_API_BASE="https://api.novita.ai/openai"
```
@@ -18,11 +18,12 @@ export LLM_API_BASE="https://api.novita.ai/openai"
| Model | Configuration |
|-------|---------------|
| GLM-5.3 | `openai/zai-org/glm-5.3` |
| Kimi K3.1 Pro | `openai/moonshotai/kimi-k3.1-pro` |
| Kimi K3 | `openai/moonshotai/kimi-k3` |
| DeepSeek V4.1 Flash | `openai/deepseek/deepseek-v4.1-flash-1017` |
| DeepSeek V4 Pro | `openai/deepseek/deepseek-v4-pro` |
| Kimi K2.5 | `openai/moonshotai/kimi-k2.5` |
| GLM-5 | `openai/zai-org/glm-5` |
| MiniMax M2.5 | `openai/minimax/minimax-m2.5` |
| MiniMax M3.1 Flash | `openai/minimax/minimax-m3.1-flash` |
| GLM-5.3 Flash | `openai/zai-org/glm-5.3-flash` |
## Get API Key
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@@ -6,13 +6,23 @@ description: "Configure Strix with OpenAI models"
## Setup
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openai/gpt-6.1-sol"
export LLM_API_KEY="sk-..."
```
## Available Models
See [OpenAI Models Documentation](https://platform.openai.com/docs/models) for the full list of available models.
| Model | Description |
|-------|-------------|
| `openai/gpt-6.1-sol` | Best balance of capability and cost for agentic security work |
| `openai/gpt-6-astra` | Flagship, maximum capability |
| `openai/gpt-6-luna` | Fast and cheap |
See [OpenAI Models Documentation](https://platform.openai.com/docs/models) for the full list.
<Note>
Security testing with OpenAI models needs [Daybreak](https://openai.com/daybreak/) (Trusted Access for Cyber). Without it the models refuse most offensive tasks. [Request access](https://openai.com/form/enterprise-trusted-access-for-cyber/).
</Note>
## Get API Key
@@ -25,7 +35,7 @@ See [OpenAI Models Documentation](https://platform.openai.com/docs/models) for t
For OpenAI-compatible APIs:
```bash
export STRIX_LLM="openai/gpt-5.4"
export STRIX_LLM="openai/gpt-6.1-sol"
export LLM_API_KEY="your-key"
export LLM_API_BASE="https://your-proxy.com/v1"
```
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@@ -18,13 +18,19 @@ Access any model on OpenRouter using the format `openrouter/<provider>/<model>`:
| Model | Configuration |
|-------|---------------|
| GLM-5.3 (default) | `openrouter/z-ai/glm-5.3` |
| GPT-5.4 | `openrouter/openai/gpt-5.4` |
| Claude Sonnet 4.6 | `openrouter/anthropic/claude-sonnet-4.6` |
| Gemini 3 Pro | `openrouter/google/gemini-3-pro-preview` |
| GLM-5.3 (recommended) | `openrouter/z-ai/glm-5.3` |
| GPT-6.1 Sol | `openrouter/openai/gpt-6.1-sol` |
| GPT-6 Astra | `openrouter/openai/gpt-6-astra` |
| Claude Opus 5.5 | `openrouter/anthropic/claude-opus-5.5` |
| Claude Sonnet 5.5 | `openrouter/anthropic/claude-sonnet-5.5` |
| Gemini 4 Argon | `openrouter/google/gemini-4-argon` |
| Gemini 3.8 Flash | `openrouter/google/gemini-3.8-flash` |
| DeepSeek V4.1 Flash | `openrouter/deepseek/deepseek-v4.1-flash-1017` |
| DeepSeek V4 Pro | `openrouter/deepseek/deepseek-v4-pro` |
| Kimi K3 | `openrouter/moonshotai/kimi-k3` |
| GLM-4.7 | `openrouter/z-ai/glm-4.7` |
| Kimi K3.1 Pro | `openrouter/moonshotai/kimi-k3.1-pro` |
| GLM-5.3 Flash | `openrouter/z-ai/glm-5.3-flash` |
OpenAI, Anthropic and Gemini models keep their provider safeguards on OpenRouter. Security testing with them needs [Daybreak](https://openai.com/daybreak/), [CVP](https://support.claude.com/en/articles/14604842-cyber-verification-program) or [Fairwind](https://deepmind.google/fairwind-program/) access.
## Get API Key
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@@ -9,19 +9,33 @@ Strix uses [LiteLLM](https://docs.litellm.ai/docs/providers) for model compatibi
Set your model and API key:
| Model | Provider | Configuration |
| -------------------- | ----------------- | -------------------------------- |
| GLM-5.3 (default) | Z.ai (OpenRouter) | `openrouter/z-ai/glm-5.3` |
| GPT-5.4 | OpenAI | `openai/gpt-5.4` |
| Claude Sonnet 4.6 | Anthropic | `anthropic/claude-sonnet-4-6` |
| Gemini 3 Pro | Google Vertex | `vertex_ai/gemini-3-pro-preview` |
| DeepSeek V4 Pro | DeepSeek | `deepseek/deepseek-v4-pro` |
| Kimi K3 | Moonshot | `moonshot/kimi-k3` |
| Model | Provider | Configuration |
| --------------------- | ------------------------- | -------------------------------- |
| GLM-5.3 (recommended) | Vercel AI Gateway | `vercel_ai_gateway/zai/glm-5.3` |
| GLM-5.3 (recommended) | OpenRouter | `openrouter/z-ai/glm-5.3` |
| GPT-6.1 Sol | OpenAI | `openai/gpt-6.1-sol` |
| Claude Opus 5.5 | Anthropic | `anthropic/claude-opus-5-5` |
| Claude Sonnet 5.5 | Anthropic | `anthropic/claude-sonnet-5-5` |
| Gemini 4 Argon | Google Vertex | `vertex_ai/gemini-4-argon` |
| DeepSeek V4.1 Flash | DeepSeek | `deepseek/deepseek-flash` |
| DeepSeek V4 Pro | DeepSeek | `deepseek/deepseek-v4-pro` |
| Kimi K3.1 Pro | Moonshot | `moonshot/kimi-k3.1-pro` |
```bash
<Note>
Frontier OpenAI, Anthropic and Gemini models need a cyber access program for security testing: [Daybreak](https://openai.com/daybreak/) for OpenAI, the [Cyber Verification Program](https://support.claude.com/en/articles/14604842-cyber-verification-program) for Anthropic, and the [Fairwind Program](https://deepmind.google/fairwind-program/) for Gemini.
</Note>
<CodeGroup>
```bash Vercel AI Gateway
export STRIX_LLM="vercel_ai_gateway/zai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
```bash OpenRouter
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
</CodeGroup>
## Local Models
@@ -47,7 +61,7 @@ See the [Local Models guide](/llm-providers/local) for setup instructions and re
Access 100+ models through a single API.
</Card>
<Card title="Vercel AI Gateway" href="/llm-providers/vercel-ai-gateway">
Access models from multiple providers through one endpoint.
Access 100+ models through one OpenAI-compatible endpoint.
</Card>
<Card title="Google Vertex AI" href="/llm-providers/vertex">
Gemini 3 models via Google Cloud.
@@ -69,9 +83,9 @@ Use LiteLLM's `provider/model-name` format:
```
openrouter/z-ai/glm-5.3
openai/gpt-5.4
anthropic/claude-sonnet-4-6
vertex_ai/gemini-3-pro-preview
bedrock/anthropic.claude-4-5-sonnet-20251022-v1:0
openai/gpt-6.1-sol
anthropic/claude-sonnet-5-5
vertex_ai/gemini-4-argon
bedrock/us.anthropic.claude-sonnet-5-5
ollama/llama4
```
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@@ -1,32 +1,47 @@
---
title: "Vercel AI Gateway"
description: "Configure Strix with models via Vercel AI Gateway"
description: "Configure Strix with models through Vercel AI Gateway"
---
[Vercel AI Gateway](https://vercel.com/docs/ai-gateway) provides an OpenAI-compatible API for models from multiple providers.
[Vercel AI Gateway](https://vercel.com/docs/ai-gateway) provides access to 100+ models from multiple providers through one OpenAI-compatible API.
## Setup
Create an [AI Gateway API key](https://vercel.com/docs/ai-gateway/authentication-and-byok), then configure Strix:
```bash
export STRIX_LLM="openai/anthropic/claude-opus-5"
export STRIX_LLM="vercel_ai_gateway/zai/glm-5.3"
export LLM_API_KEY="your-ai-gateway-api-key"
export LLM_API_BASE="https://ai-gateway.vercel.sh/v1"
```
The first `openai/` segment tells Strix to use its OpenAI-compatible client. The remaining value is the [AI Gateway model ID](https://vercel.com/docs/ai-gateway/models-and-providers).
The `vercel_ai_gateway/` prefix selects the Gateway. The remaining value is the [AI Gateway model ID](https://vercel.com/docs/ai-gateway/models-and-providers).
## Available Models
Use any language model returned by the AI Gateway models endpoint:
Access any model on the Gateway using the format `vercel_ai_gateway/<provider>/<model>`:
| Model | Configuration |
|-------|---------------|
| GLM-5.3 (recommended) | `vercel_ai_gateway/zai/glm-5.3` |
| GPT-6.1 Sol | `vercel_ai_gateway/openai/gpt-6.1-sol` |
| GPT-6 Astra | `vercel_ai_gateway/openai/gpt-6-astra` |
| Claude Opus 5.5 | `vercel_ai_gateway/anthropic/claude-opus-5.5` |
| Claude Sonnet 5.5 | `vercel_ai_gateway/anthropic/claude-sonnet-5.5` |
| Gemini 4 Argon | `vercel_ai_gateway/google/gemini-4-argon` |
| Gemini 3.8 Flash | `vercel_ai_gateway/google/gemini-3.8-flash` |
| DeepSeek V4.1 Flash | `vercel_ai_gateway/deepseek/deepseek-v4.1-flash-1017` |
| DeepSeek V4 Pro | `vercel_ai_gateway/deepseek/deepseek-v4-pro` |
| Kimi K3.1 Pro | `vercel_ai_gateway/moonshotai/kimi-k3.1-pro` |
| GLM-5.3 Flash | `vercel_ai_gateway/zai/glm-5.3-flash` |
OpenAI, Anthropic and Gemini models keep their provider safeguards on the Gateway. Security testing with them needs [Daybreak](https://openai.com/daybreak/), [CVP](https://support.claude.com/en/articles/14604842-cyber-verification-program) or [Fairwind](https://deepmind.google/fairwind-program/) access.
The full list is at the [AI Gateway models page](https://vercel.com/ai-gateway/models) or the models endpoint:
```text
https://ai-gateway.vercel.sh/v1/models
```
Prefix its model ID with `openai/` when setting `STRIX_LLM`. For example, the Gateway model ID `anthropic/claude-opus-5` becomes `openai/anthropic/claude-opus-5` in Strix.
## Get API Key
1. Open the [AI Gateway API key settings](https://vercel.com/docs/ai-gateway/authentication-and-byok)
@@ -35,5 +50,6 @@ Prefix its model ID with `openai/` when setting `STRIX_LLM`. For example, the Ga
## Benefits
- Access models from multiple providers through one endpoint
- Track Gateway usage and cost in Vercel
- **Single API** — Access models from OpenAI, Anthropic, Google, Z.ai, and more
- **Bring your own keys** — Route through your own provider accounts when you want
- **Cost tracking** — Monitor Gateway usage and cost in Vercel
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@@ -6,7 +6,7 @@ description: "Configure Strix with Gemini models via Google Cloud"
## Setup
```bash
export STRIX_LLM="vertex_ai/gemini-3-pro-preview"
export STRIX_LLM="vertex_ai/gemini-4-argon"
```
No API key required—uses Google Cloud Application Default Credentials.
@@ -29,8 +29,12 @@ export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
| Model | Description |
|-------|-------------|
| `vertex_ai/gemini-3-pro-preview` | Best overall performance for security testing |
| `vertex_ai/gemini-3-flash-preview` | Faster and cheaper |
| `vertex_ai/gemini-4-argon` | Best overall performance for security testing |
| `vertex_ai/gemini-3.8-flash` | Faster and cheaper |
<Note>
Security testing with Gemini needs the [Fairwind Program](https://deepmind.google/fairwind-program/). Without it the cyber guardrails block most offensive tasks.
</Note>
## Project Configuration
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@@ -25,15 +25,22 @@ description: "Install Strix and run your first security scan"
## Configuration
Set your LLM provider:
Set your LLM provider. We recommend GLM-5.3 through [Vercel AI Gateway](/llm-providers/vercel-ai-gateway) or [OpenRouter](/llm-providers/openrouter):
```bash
export STRIX_LLM="openrouter/z-ai/glm-5.3"
<CodeGroup>
```bash Vercel AI Gateway
export STRIX_LLM="vercel_ai_gateway/zai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
```bash OpenRouter
export STRIX_LLM="openrouter/z-ai/glm-5.3"
export LLM_API_KEY="your-api-key"
```
</CodeGroup>
<Tip>
For best results, use `openrouter/z-ai/glm-5.3` (the default pick), `openai/gpt-5.4`, `anthropic/claude-opus-4-6`, or `openai/gpt-5.2`.
For best results, use `zai/glm-5.3`, `deepseek/deepseek-v4.1-flash-1017`, `anthropic/claude-opus-5-5` (needs [CVP](https://support.claude.com/en/articles/14604842-cyber-verification-program) access), or `openai/gpt-6.1-sol` (needs [Daybreak](https://openai.com/daybreak/) access).
</Tip>
## Run Your First Scan
@@ -63,7 +63,7 @@ jobs:
fi
```
Then tell the user to add two repository secrets: `STRIX_LLM` (model id, for example `openai/gpt-5.4`) and `LLM_API_KEY` (the provider key). Do not create these values yourself.
Then tell the user to add two repository secrets: `STRIX_LLM` (model id, for example `openrouter/z-ai/glm-5.3`) and `LLM_API_KEY` (the provider key). Do not create these values yourself.
Notes:
- In CI/headless runs Strix automatically scopes to the PR's changed files (`--scope-mode auto`). If diff resolution fails, keep `fetch-depth: 0` or set `--diff-base` to the PR's actual base branch — use `origin/${{ github.base_ref }}` in GitHub Actions rather than a hard-coded `origin/main`, since repos use different default branches.
@@ -47,7 +47,7 @@ If unsure and the user has (or will create) an app.strix.ai account, prefer **Cl
```
3. **LLM configured** — two environment variables:
```bash
export STRIX_LLM="openai/gpt-5.4" # any LiteLLM model id (openai/..., anthropic/..., openrouter/...)
export STRIX_LLM="openrouter/z-ai/glm-5.3" # any LiteLLM model id (openai/..., anthropic/..., openrouter/...)
export LLM_API_KEY="<provider api key>"
```
Ask the user for these if unset. Never hardcode or commit keys.
+7
View File
@@ -181,9 +181,12 @@ def _compose_root_instructions_override(
supports_images: bool,
report_tool: str,
coverage_tools: bool,
replace_scan_prompt: bool = False,
) -> str | None:
if root_instructions_override is None:
return None
if replace_scan_prompt:
return f"{root_instructions_override}\n\n{render_scope_prompt(system_prompt_context)}"
base_instructions = render_system_prompt(
skills=skills,
@@ -225,6 +228,7 @@ async def run_strix_scan(
cleanup_on_exit: bool = True,
event_sink: StreamEventSink | None = None,
root_instructions_override: str | None = None,
replace_root_scan_prompt: bool = False,
extra_system_prompt_context: dict[str, Any] | None = None,
status_sink: StatusSink | None = None,
mcp_connection_requests: list[McpConnectionRequest] | None = None,
@@ -238,6 +242,8 @@ async def run_strix_scan(
``root_instructions_override`` adds root scan instructions to the rendered
root prompt without replacing the system-verified scope block.
``replace_root_scan_prompt=True`` makes it the root's whole prompt, followed
by the scope, instead of adding it to the rendered scan prompt.
``extra_files`` entries (``{"workspace_path", "content"}``) are placed into
the sandbox workspace at session bring-up; see
:func:`strix.runtime.session_manager.create_or_reuse`.
@@ -521,6 +527,7 @@ async def run_strix_scan(
supports_images=supports_images,
report_tool=report_tool.name,
coverage_tools=coverage_tools,
replace_scan_prompt=replace_root_scan_prompt,
)
root_agent = build_strix_agent(
+31
View File
@@ -68,6 +68,7 @@ def _patch_engine_scaffold(
extra_body=None,
),
runtime=types.SimpleNamespace(max_context_images=3),
telemetry=types.SimpleNamespace(run_record_timings=False),
)
monkeypatch.setattr(runner, "load_settings", lambda: settings)
monkeypatch.setattr(runner, "configure_sdk_model_defaults", lambda _settings: None)
@@ -161,6 +162,36 @@ async def test_root_prompt_options_flow_into_root_agent(
}
@pytest.mark.asyncio
async def test_replace_root_scan_prompt_drops_the_scan_prompt(
monkeypatch: pytest.MonkeyPatch,
tmp_path: Any,
) -> None:
scope_context = {
"scope_source": "user_scan_config",
"authorized_targets": [
{"type": "web_application", "value": "https://example.com", "workspace_path": ""},
],
}
captured = _patch_engine_scaffold(monkeypatch, tmp_path, scope_context)
await runner.run_strix_scan(
scan_config={"targets": [], "scan_mode": "deep"},
scan_id="scan-replace",
image="img",
coordinator=AgentCoordinator(),
root_instructions_override="CUSTOM SCAN PROMPT",
replace_root_scan_prompt=True,
)
instructions_override = captured["kwargs"]["instructions_override"]
assert instructions_override.startswith("CUSTOM SCAN PROMPT")
assert instructions_override.count("SCOPE:") == 1
assert "https://example.com" in instructions_override
assert "<root_scan_instructions_override>" not in instructions_override
assert "application security validation agent" not in instructions_override
@pytest.mark.asyncio
async def test_extra_system_prompt_context_cannot_override_scope_context(
monkeypatch: pytest.MonkeyPatch,