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feat(models): refresh the recommended model list and docs examples
Add Claude Fable 5.1, Gemini 3.7 Flash, and Z.ai GLM-5.3 / GLM-5.3-Flash to RECOMMENDED_MODEL_NAMES, add a Z.ai GLM frontier family so GLM-5.x is accepted through OpenRouter and Novita routes, and drop the superseded GPT-5.4, GPT-5.3-codex, Opus 4.8, Sonnet 4.6, Gemini 3.6 Flash, and Qwen3.7 entries. Update the README, docs provider pages, quickstart, and CLI hint strings to the same current models, including DeepSeek V4, Kimi K3, and GLM-5.3.
This commit is contained in:
parent
c514f712f4
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20 changed files with 78 additions and 59 deletions
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@ -28,7 +28,7 @@ Target-specific workflows built on the same engine:
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- **Open-source CLI (self-hosted):** free, fully local, BYO LLM key, needs Docker. Best for local dev loops, air-gapped/offline, and full control.
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```bash
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curl -sSL https://strix.ai/install | bash # install
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export STRIX_LLM="openai/gpt-5.4" # any LiteLLM model id
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export STRIX_LLM="openai/gpt-5.6" # any LiteLLM model id
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export LLM_API_KEY="<key>"
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strix -n -t ./ --scan-mode quick --max-budget 10 # headless scan; always use -n
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```
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@ -31,7 +31,7 @@ Thank you for your interest in contributing to Strix! This guide will help you g
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3. **Configure your LLM provider**
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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```
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15
README.md
15
README.md
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@ -82,7 +82,7 @@ Strix are autonomous AI penetration testing agents that act just like real hacke
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curl -sSL https://strix.ai/install | bash
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# Configure your AI provider
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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# Run your first security assessment
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@ -294,7 +294,7 @@ jobs:
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### Configuration
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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# Optional
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@ -313,7 +313,7 @@ Instead of a metered API key, you can run Strix on your ChatGPT Plus/Pro subscri
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```bash
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strix auth login chatgpt # sign in with your ChatGPT account
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export STRIX_LLM="chatgpt/gpt-5.4" # chatgpt/<model> runs on the subscription
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export STRIX_LLM="chatgpt/gpt-5.6" # chatgpt/<model> runs on the subscription
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strix --target ./app-directory
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strix auth status # show the active sign-in
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@ -448,9 +448,12 @@ Each server's tools are namespaced by `name` (for example `local_fs_read_file`).
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**Recommended models for best results:**
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- [OpenAI GPT-5.4](https://openai.com/api/) - `openai/gpt-5.4`
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- [Anthropic Claude Sonnet 4.6](https://claude.com/platform/api) - `anthropic/claude-sonnet-4-6`
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- [Google Gemini 3 Pro Preview](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-3-pro-preview`
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- [OpenAI GPT-5.6](https://openai.com/api/) - `openai/gpt-5.6`
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- [Anthropic Claude Opus 5](https://claude.com/platform/api) - `anthropic/claude-opus-5`
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- [Google Gemini 3.1 Pro Preview](https://cloud.google.com/vertex-ai) - `vertex_ai/gemini-3.1-pro-preview`
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- [DeepSeek V4 Pro](https://platform.deepseek.com) - `deepseek/deepseek-v4-pro`
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- [Moonshot Kimi K3](https://platform.kimi.ai) - `moonshot/kimi-k3`
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- [Z.ai GLM-5.3](https://z.ai) - `zai/glm-5.3`
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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.
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## LLM Configuration
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<ParamField path="STRIX_LLM" type="string" required>
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Model name in LiteLLM format (e.g., `openai/gpt-5.4`, `anthropic/claude-sonnet-4-6`).
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Model name in LiteLLM format (e.g., `openai/gpt-5.6`, `anthropic/claude-sonnet-5`).
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</ParamField>
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<ParamField path="LLM_API_KEY" type="string">
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@ -145,7 +145,7 @@ strix --target ./app --config /path/to/config.json
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```json
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{
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"env": {
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"STRIX_LLM": "openai/gpt-5.4",
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"STRIX_LLM": "openai/gpt-5.6",
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"LLM_API_KEY": "sk-...",
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"STRIX_REASONING_EFFORT": "high"
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}
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@ -156,7 +156,7 @@ strix --target ./app --config /path/to/config.json
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```bash
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# Required
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="sk-..."
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# Optional: Enable web search
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@ -33,7 +33,7 @@ description: "Contribute to Strix development"
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</Step>
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<Step title="Configure LLM">
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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```
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</Step>
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@ -78,7 +78,7 @@ Strix uses a graph of specialized agents for comprehensive security testing:
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curl -sSL https://strix.ai/install | bash
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# Configure
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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# Scan
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@ -37,7 +37,7 @@ Add these secrets to your repository:
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| Secret | Description |
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|--------|-------------|
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| `STRIX_LLM` | Model name (e.g., `openai/gpt-5.4`) |
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| `STRIX_LLM` | Model name (e.g., `openai/gpt-5.6`) |
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| `LLM_API_KEY` | API key for your LLM provider |
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## Exit Codes
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@ -6,7 +6,7 @@ description: "Configure Strix with Claude models"
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## Setup
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```bash
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export STRIX_LLM="anthropic/claude-sonnet-4-6"
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export STRIX_LLM="anthropic/claude-sonnet-5"
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export LLM_API_KEY="sk-ant-..."
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```
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@ -14,8 +14,8 @@ export LLM_API_KEY="sk-ant-..."
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| Model | Description |
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|-------|-------------|
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| `anthropic/claude-sonnet-4-6` | Best balance of intelligence and speed |
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| `anthropic/claude-opus-4-6` | Maximum capability for deep analysis |
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| `anthropic/claude-sonnet-5` | Best balance of intelligence and speed |
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| `anthropic/claude-opus-5` | Maximum capability for deep analysis |
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## Get API Key
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@ -24,7 +24,7 @@ export AZURE_API_VERSION="2025-11-01-preview"
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## Example
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```bash
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export STRIX_LLM="azure/gpt-5.4-deployment"
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export STRIX_LLM="azure/gpt-5.6-deployment"
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export AZURE_API_KEY="abc123..."
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export AZURE_API_BASE="https://mycompany.openai.azure.com"
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export AZURE_API_VERSION="2025-11-01-preview"
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@ -33,5 +33,5 @@ export AZURE_API_VERSION="2025-11-01-preview"
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## Prerequisites
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1. Create an Azure OpenAI resource
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2. Deploy a model (e.g., GPT-5.4)
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2. Deploy a model (for example GPT-5.6)
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3. Get the endpoint URL and API key from the Azure portal
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@ -8,7 +8,7 @@ description: "Configure Strix with Novita AI models"
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## Setup
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```bash
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export STRIX_LLM="openai/moonshotai/kimi-k2.5"
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export STRIX_LLM="openai/moonshotai/kimi-k3"
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export LLM_API_KEY="your-novita-api-key"
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export LLM_API_BASE="https://api.novita.ai/openai"
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```
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| Model | Configuration |
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|-------|---------------|
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| Kimi K2.5 | `openai/moonshotai/kimi-k2.5` |
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| GLM-5 | `openai/zai-org/glm-5` |
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| Kimi K3 | `openai/moonshotai/kimi-k3` |
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| GLM-5.3 | `openai/zai-org/glm-5.3` |
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| DeepSeek V4 Pro | `openai/deepseek/deepseek-v4-pro` |
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| MiniMax M2.5 | `openai/minimax/minimax-m2.5` |
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## Get API Key
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@ -6,7 +6,7 @@ description: "Configure Strix with OpenAI models"
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## Setup
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="sk-..."
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```
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@ -25,7 +25,7 @@ See [OpenAI Models Documentation](https://platform.openai.com/docs/models) for t
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For OpenAI-compatible APIs:
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-key"
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export LLM_API_BASE="https://your-proxy.com/v1"
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```
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@ -8,7 +8,7 @@ description: "Configure Strix with models via OpenRouter"
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## Setup
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```bash
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export STRIX_LLM="openrouter/openai/gpt-5.4"
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export STRIX_LLM="openrouter/openai/gpt-5.6-sol"
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export LLM_API_KEY="sk-or-..."
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```
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@ -18,10 +18,12 @@ Access any model on OpenRouter using the format `openrouter/<provider>/<model>`:
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| Model | Configuration |
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|-------|---------------|
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| GPT-5.4 | `openrouter/openai/gpt-5.4` |
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| Claude Sonnet 4.6 | `openrouter/anthropic/claude-sonnet-4.6` |
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| Gemini 3 Pro | `openrouter/google/gemini-3-pro-preview` |
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| GLM-4.7 | `openrouter/z-ai/glm-4.7` |
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| GPT-5.6 Sol | `openrouter/openai/gpt-5.6-sol` |
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| Claude Opus 5 | `openrouter/anthropic/claude-opus-5` |
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| Gemini 3.1 Pro | `openrouter/google/gemini-3.1-pro-preview` |
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| DeepSeek V4 Pro | `openrouter/deepseek/deepseek-v4-pro` |
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| Kimi K3 | `openrouter/moonshotai/kimi-k3` |
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| GLM-5.3 | `openrouter/z-ai/glm-5.3` |
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## Get API Key
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@ -9,14 +9,17 @@ Strix uses [LiteLLM](https://docs.litellm.ai/docs/providers) for model compatibi
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Set your model and API key:
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| Model | Provider | Configuration |
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| ----------------- | ------------- | -------------------------------- |
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| GPT-5.4 | OpenAI | `openai/gpt-5.4` |
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| Claude Sonnet 4.6 | Anthropic | `anthropic/claude-sonnet-4-6` |
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| Gemini 3 Pro | Google Vertex | `vertex_ai/gemini-3-pro-preview` |
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| Model | Provider | Configuration |
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| -------------- | ------------- | ---------------------------------- |
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| GPT-5.6 | OpenAI | `openai/gpt-5.6` |
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| Claude Opus 5 | Anthropic | `anthropic/claude-opus-5` |
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| Gemini 3.1 Pro | Google Vertex | `vertex_ai/gemini-3.1-pro-preview` |
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| DeepSeek V4 | DeepSeek | `deepseek/deepseek-v4-pro` |
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| Kimi K3 | Moonshot | `moonshot/kimi-k3` |
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| GLM-5.3 | Z.ai | `zai/glm-5.3` |
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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```
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@ -35,7 +38,7 @@ See the [Local Models guide](/llm-providers/local) for setup instructions and re
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<CardGroup cols={2}>
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<Card title="OpenAI" href="/llm-providers/openai">
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GPT-5.4 models.
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GPT-5.6 models.
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</Card>
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<Card title="Anthropic" href="/llm-providers/anthropic">
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Claude Opus, Sonnet, and Haiku.
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@ -50,7 +53,7 @@ See the [Local Models guide](/llm-providers/local) for setup instructions and re
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Claude and Titan models via AWS.
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</Card>
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<Card title="Azure OpenAI" href="/llm-providers/azure">
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GPT-5.4 via Azure.
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GPT-5.6 through Azure.
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</Card>
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<Card title="Local Models" href="/llm-providers/local">
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Llama 4, Mistral, and self-hosted models.
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@ -62,9 +65,9 @@ See the [Local Models guide](/llm-providers/local) for setup instructions and re
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Use LiteLLM's `provider/model-name` format:
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```
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openai/gpt-5.4
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anthropic/claude-sonnet-4-6
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vertex_ai/gemini-3-pro-preview
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openai/gpt-5.6
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anthropic/claude-sonnet-5
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vertex_ai/gemini-3.1-pro-preview
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bedrock/anthropic.claude-4-5-sonnet-20251022-v1:0
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ollama/llama4
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```
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@ -14,7 +14,7 @@ pipx install "strix-agent[vertex]"
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## Setup
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```bash
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export STRIX_LLM="vertex_ai/gemini-3-pro-preview"
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export STRIX_LLM="vertex_ai/gemini-3.1-pro-preview"
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```
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No API key required—uses Google Cloud Application Default Credentials.
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@ -37,8 +37,8 @@ export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service-account.json"
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| Model | Description |
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|-------|-------------|
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| `vertex_ai/gemini-3-pro-preview` | Best overall performance for security testing |
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| `vertex_ai/gemini-3-flash-preview` | Faster and cheaper |
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| `vertex_ai/gemini-3.1-pro-preview` | Best overall performance for security testing |
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| `vertex_ai/gemini-3.7-flash` | Faster and cheaper |
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## Project Configuration
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@ -28,12 +28,12 @@ description: "Install Strix and run your first security scan"
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Set your LLM provider:
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```bash
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export STRIX_LLM="openai/gpt-5.4"
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export STRIX_LLM="openai/gpt-5.6"
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export LLM_API_KEY="your-api-key"
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```
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<Tip>
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For best results, use `openai/gpt-5.4`, `anthropic/claude-opus-4-6`, or `openai/gpt-5.2`.
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For best results, use `openai/gpt-5.6`, `anthropic/claude-opus-5`, or `deepseek/deepseek-v4-pro`.
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</Tip>
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## Run Your First Scan
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@ -568,22 +568,21 @@ RECOMMENDED_MODEL_NAMES = (
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"openai/gpt-5.6",
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"openai/gpt-5.5-pro",
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"openai/gpt-5.5",
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"openai/gpt-5.4",
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"openai/gpt-5.3-codex",
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"anthropic/claude-fable-5-1",
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"anthropic/claude-fable-5",
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"anthropic/claude-opus-5",
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"anthropic/claude-opus-4-8",
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"anthropic/claude-sonnet-5",
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"anthropic/claude-sonnet-4-6",
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"vertex_ai/gemini-3.1-pro-preview",
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"gemini/gemini-3.1-pro-preview",
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"gemini/gemini-3.6-flash",
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"vertex_ai/gemini-3.7-flash",
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"gemini/gemini-3.7-flash",
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"deepseek/deepseek-v4-pro",
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"deepseek/deepseek-v4-flash",
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"dashscope/qwen3.8-max",
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"dashscope/qwen3.7-max-2026-06-08",
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"moonshot/kimi-k3",
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"moonshot/kimi-k2.7-code",
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"zai/glm-5.3",
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"zai/glm-5.3-flash",
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)
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_RECOMMENDED_MODEL_NAME_SET = frozenset(name.lower() for name in RECOMMENDED_MODEL_NAMES)
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@ -598,6 +597,7 @@ FRONTIER_MODEL_FAMILIES = (
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(("deepseek",), ("deepseek-v4", "deepseek-r1", "deepseek-reasoner")),
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(("alibaba", "dashscope", "qwen"), ("qwen3.8", "qwen3.7", "qwen3-max")),
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(("moonshot", "moonshotai", "kimi"), ("kimi-k3", "kimi-k2.7", "kimi-k2.6")),
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(("zai", "z-ai", "zai-org", "zhipuai"), ("glm-5.3", "glm-5.2")),
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)
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@ -254,7 +254,7 @@ def _status(console: Console) -> int:
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console.print(f" Runs use the subscription (STRIX_LLM=[bold]{settings.llm.model}[/]).")
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else:
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||||
console.print(
|
||||
" [yellow]Note:[/] set [cyan]STRIX_LLM[/] to e.g. [cyan]chatgpt/gpt-5.4[/] "
|
||||
" [yellow]Note:[/] set [cyan]STRIX_LLM[/] to e.g. [cyan]chatgpt/gpt-5.6[/] "
|
||||
"to run on the subscription."
|
||||
)
|
||||
return 0
|
||||
|
|
@ -293,7 +293,7 @@ def _print_success(console: Console) -> None:
|
|||
text.append(" to a ", style="white")
|
||||
text.append("chatgpt/", style="bold cyan")
|
||||
text.append(" model (e.g. ", style="white")
|
||||
text.append("chatgpt/gpt-5.4", style="bold cyan")
|
||||
text.append("chatgpt/gpt-5.6", style="bold cyan")
|
||||
text.append(") — runs are billed to your ChatGPT plan.", style="white")
|
||||
text.append("\n\n", style="white")
|
||||
text.append("Run a scan as usual, e.g. ", style="white")
|
||||
|
|
|
|||
|
|
@ -70,8 +70,8 @@ def validate_environment() -> None:
|
|||
error_text.append("• ", style="white")
|
||||
error_text.append("STRIX_LLM", style="bold cyan")
|
||||
error_text.append(
|
||||
" - Model name to use (e.g., 'openai/gpt-5.4' or "
|
||||
"'anthropic/claude-opus-4-7')\n",
|
||||
" - Model name to use (for example 'openai/gpt-5.6' or "
|
||||
"'anthropic/claude-opus-5')\n",
|
||||
style="white",
|
||||
)
|
||||
|
||||
|
|
@ -102,7 +102,7 @@ def validate_environment() -> None:
|
|||
)
|
||||
|
||||
error_text.append("\nExample setup:\n", style="white")
|
||||
error_text.append("export STRIX_LLM='openai/gpt-5.4'\n", style="dim white")
|
||||
error_text.append("export STRIX_LLM='openai/gpt-5.6'\n", style="dim white")
|
||||
|
||||
if missing_optional_vars:
|
||||
for var in missing_optional_vars:
|
||||
|
|
|
|||
|
|
@ -118,8 +118,8 @@ def _subscription_error_hint(exc: BaseException) -> str | None:
|
|||
joined = " ".join(_exception_messages(exc)).lower()
|
||||
if "not supported when using codex with a chatgpt account" in joined:
|
||||
return (
|
||||
"This model isn't available on your ChatGPT subscription. "
|
||||
"Set STRIX_LLM to a model your plan includes (e.g. chatgpt/gpt-5.4)."
|
||||
"This model is not available on your ChatGPT subscription. "
|
||||
"Set STRIX_LLM to a model your plan includes (for example chatgpt/gpt-5.6)."
|
||||
)
|
||||
if (
|
||||
"error code: 401" in joined
|
||||
|
|
@ -171,7 +171,7 @@ async def warm_up_llm(show_model_warning: bool = True) -> None:
|
|||
)
|
||||
warn_text.append("<provider>/<model>", style="bold cyan")
|
||||
warn_text.append(
|
||||
"' form, e.g. 'anthropic/claude-opus-4-7', 'deepseek/deepseek-v4-pro'.",
|
||||
"' form, for example 'anthropic/claude-opus-5' or 'deepseek/deepseek-v4-pro'.",
|
||||
style="white",
|
||||
)
|
||||
console.print(
|
||||
|
|
|
|||
|
|
@ -72,6 +72,13 @@ def test_recommended_models_are_matched_case_insensitively() -> None:
|
|||
"moonshot/kimi-k2.6",
|
||||
"kimi-k2.7-code",
|
||||
"moonshot/kimi-k3",
|
||||
"anthropic/claude-fable-5-1",
|
||||
"vertex_ai/claude-fable-5-1@default",
|
||||
"gemini/gemini-3.7-flash",
|
||||
"glm-5.3",
|
||||
"zai/glm-5.3-flash",
|
||||
"openrouter/z-ai/glm-5.3",
|
||||
"novita/zai-org/glm-5.2",
|
||||
],
|
||||
)
|
||||
def test_frontier_model_families_are_accepted(model_name: str) -> None:
|
||||
|
|
@ -92,6 +99,9 @@ def test_frontier_model_families_are_accepted(model_name: str) -> None:
|
|||
"openrouter/x-ai/grok-4",
|
||||
"mistral/mistral-medium-3-5",
|
||||
"mistral/magistral-medium-latest",
|
||||
"zai/glm-4.7",
|
||||
"openrouter/z-ai/glm-5",
|
||||
"custom-provider/glm-5.3-local",
|
||||
],
|
||||
)
|
||||
def test_non_frontier_models_are_rejected(model_name: str) -> None:
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue