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feat(dedupe): add dedicated deduplication model (#823)

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Co-authored-by: oyasumi <oyasumi@kantilabs.xyz>
Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
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oyasumi
2026-07-25 06:29:39 -07:00
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co-authored by oyasumi Ahmed Allam
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docs/advanced/configuration.mdx
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@@ -35,6 +35,31 @@ Configure Strix using environment variables or a config file.
Timeout in seconds for memory compression operations (context summarization).
</ParamField>
### Dedicated deduplication model
Finding deduplication is a cheap, structured classification task. By default it
runs on the main model, but you can route it to a smaller/cheaper model without
affecting the agents that do the actual testing.
<ParamField path="STRIX_DEDUPE_MODEL" type="string">
Model used to judge whether a candidate finding duplicates an existing report.
Falls back to `STRIX_LLM` when unset.
</ParamField>
<ParamField path="DEDUPE_LLM_API_KEY" type="string">
Optional provider key for the deduplication model.
</ParamField>
<ParamField path="DEDUPE_LLM_API_BASE" type="string">
Optional custom API base URL for the deduplication model. Use when the dedupe
model runs on a different endpoint than the main model.
</ParamField>
<ParamField path="STRIX_DEDUPE_REASONING_EFFORT" type="string">
Reasoning effort for the deduplication model. Defaults to the model's own
baseline when unset.
</ParamField>
## Optional Features
<ParamField path="PERPLEXITY_API_KEY" type="string">