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docs: update advanced usage and configuration to include new GPT-5.1 models and enhance tool parameters

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Bjorn Melin
2025-11-14 01:09:40 -07:00
parent 4d3d177d91
commit 807c9df70e
14 changed files with 83 additions and 35 deletions
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docs/custom_models.md
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@@ -61,6 +61,9 @@ The curated defaults in `conf/openrouter_models.json` include popular entries su
| `llama3` | `meta-llama/llama-3-70b` | Large open-weight text model |
| `deepseek-r1` | `deepseek/deepseek-r1-0528` | DeepSeek reasoning model |
| `perplexity` | `perplexity/llama-3-sonar-large-32k-online` | Search-augmented model |
| `gpt5.1`, `gpt-5.1`, `5.1` | `openai/gpt-5.1` | Flagship GPT-5.1 with reasoning and vision |
| `gpt5.1-codex`, `codex-5.1` | `openai/gpt-5.1-codex` | Agentic coding specialization (Responses API) |
| `codex-mini`, `gpt5.1-codex-mini` | `openai/gpt-5.1-codex-mini` | Cost-efficient Codex variant with streaming |
Consult the JSON file for the full list, aliases, and capability flags. Add new entries as OpenRouter releases additional models.
@@ -78,6 +81,18 @@ Native catalogues (`conf/openai_models.json`, `conf/gemini_models.json`, `conf/x
- Advertise support for JSON mode or vision if the upstream provider adds it
- Adjust token limits when providers increase context windows
### Latest OpenAI releases
OpenAI's November 13, 2025 drop introduced `gpt-5.1`, `gpt-5.1-codex`, and `gpt-5.1-codex-mini`, all of which now ship in `conf/openai_models.json`:
| Model | Highlights | Notes |
|-------|------------|-------|
| `gpt-5.1` | 400K context, 128K output, multimodal IO, configurable reasoning effort | Streaming enabled; use for balanced agent/coding flows |
| `gpt-5.1-codex` | Responses-only agentic coding version of GPT-5.1 | Streaming disabled; `use_openai_response_api=true`; `allow_code_generation=true` |
| `gpt-5.1-codex-mini` | Cost-efficient Codex variant | Streaming enabled, retains 400K context and code-generation flag |
These entries include pricing-friendly aliases (`gpt5.1`, `codex-5.1`, `codex-mini`) plus updated capability flags (`supports_extended_thinking`, `allow_code_generation`). Copy the manifest if you operate custom deployment names so downstream providers inherit the same metadata.
Because providers load the manifests on import, you can tweak capabilities without touching Python. Restart the server after editing the JSON files so changes are picked up.
To control ordering in auto mode or the `listmodels` summary, adjust the