* feat: add to readme new keys
* feat: shoutout strix models, docs
* fix: mypy error
* fix: base api
* docs: update quickstart and models
* fixes: changes to docs
uniform api_key variable naming
* test: git commit hook
* nevermind it was nothing
* docs: Update default model to claude-sonnet-4.6 and improve Strix Router docs
- Replace gpt-5 and opus-4.6 defaults with claude-sonnet-4.6 across all docs and code
- Rewrite Strix Router (models.mdx) page with clearer structure and messaging
- Add Strix Router as recommended option in overview.mdx and quickstart prerequisites
- Update stale Claude 4.5 references to 4.6 in anthropic.mdx, openrouter.mdx, bug_report.md
- Fix install.sh links to point to models.strix.ai and correct docs URLs
- Update error message examples in main.py to use claude-sonnet-4-6
---------
Co-authored-by: 0xallam <ahmed39652003@gmail.com>
The memory compressor was calling litellm.completion() without passing
the api_key and api_base parameters, causing authentication errors when
LLM_API_KEY is set but provider-specific env vars (OPENAI_API_KEY, etc.)
are not. This matches the pattern used in dedupe.py.
- Add Config class with all env var defaults in one place
- Auto-load saved config on startup (env vars take precedence)
- Auto-save config after successful LLM warm-up
- Replace scattered os.getenv() calls with Config.get()
- Add configurable reasoning effort via environment variable
- Default to "high", but use "medium" for quick scan mode
- Document in README and interface error panel
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add dedupe.py with XML-based LLM deduplication using direct litellm calls
- Integrate deduplication check in create_vulnerability_report tool
- Add get_existing_vulnerabilities() method to tracer for fetching reports
- Update schema and system prompt with deduplication guidelines
- Retry failed streams up to 3 times with exp backoff (8s min, 64s max)
- Reset chunks on failure and retry full request
- Use litellm._should_retry() for retryable error detection
- Switch to async acompletion() for streaming
- Refactor generate() into smaller focused methods
- Convert LiteLLM requests to streaming mode with stream_request()
- Add streaming parser to handle live LLM output segments
- Update TUI for real-time streaming content rendering
- Add tracer methods for streaming content tracking
- Clean function tags from streamed content to prevent display
- Remove all truncation from tool renderers for full content visibility
Introduces scan mode selection to control testing depth and methodology:
- quick: optimized for CI/CD, focuses on recent changes and high-impact vulns
- standard: balanced coverage with systematic methodology
- deep: exhaustive testing with hierarchical agent swarm (now default)
Each mode has dedicated prompt modules with detailed pentesting guidelines
covering reconnaissance, mapping, business logic analysis, exploitation,
and vulnerability chaining strategies.
Closes#152
0xallam