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Clarify introduction wording and Ollama context guidance

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Alex Schapiro
2026-08-14 18:01:10 +00:00
parent b79483c6b7
commit 067597cfdb
2 changed files with 2 additions and 2 deletions
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docs/index.mdx
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@@ -3,7 +3,7 @@ title: "Introduction"
description: "Open-source AI hackers to secure your apps"
---
Strix agents are autonomous AI agents that act like real hackers. They run your code dynamically, find vulnerabilities, and validate each vulnerability with a proof of concept. Strix helps developers and security teams that need fast and accurate security testing. They avoid the overhead of a manual pentest and the false positives of a static analysis tool.
Strix agents are autonomous and act like real hackers. They run your code dynamically, find vulnerabilities, and validate each vulnerability with a proof of concept. Strix helps developers and security teams that need fast and accurate security testing. Strix does not have the overhead of a manual pentest or the false positives of a static analysis tool.
<Frame>
<img src="/images/screenshot.png" alt="Strix Demo" />
docs/llm-providers/local.mdx
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@@ -94,7 +94,7 @@ Configure the inference server to parse tool tokens into structured `tool_calls`
**Ollama**
- Use a recent Ollama version and a model whose template supports tools. Ollama returns `tools param requires --jinja flag` when the template lacks tool support.
- For reasoning models such as qwen3, disable **thinking** mode. Thinking mode can move tool calls into `content` instead of `tool_calls`. Disable it in Ollama with a non-thinking model or `think: false` in the model parameters or `Modelfile`.
- Raise **`num_ctx`** to at least 16k to 32k. Strix sends a large system prompt and many tool schemas. A small context can truncate the tool definitions and stop valid calls. A short test prompt can look fine while a real scan fails.
- Raise **`num_ctx`** to a value between 16k and 32k, or higher. Strix sends a large system prompt and many tool schemas. A small context can truncate the tool definitions and stop valid calls. A short test prompt can look fine while a real scan fails.
**vLLM**
- Start with `--enable-auto-tool-choice`, a matching `--tool-call-parser` (`hermes`, `qwen3_xml`, or `llama3_json`), and a matching `--reasoning-parser` for reasoning models.