v2.0.4

# Big-AGI 2.0.4 - Hyper Params

### Precision matters.

This release is about getting models right: accurate parameter ranges for reasoning effort, verbosity, and temperature across providers and through 3rd parties such as OpenRouter and AWS. Plus the latest frontier models, a new cloud platform, and Anthropic going deeper.

A huge shout-out goes to @Slava-256, for making Big-AGI's model support the best-in-class with this release. From filing detailed issues for accurate reasoning effort ranges ([#940](https://github.com/enricoros/big-AGI/issues/940), [#944](https://github.com/enricoros/big-AGI/issues/944)), verbosity accuracy ([#947](https://github.com/enricoros/big-AGI/issues/947), [#948](https://github.com/enricoros/big-AGI/issues/948)), temperature support ([#953](https://github.com/enricoros/big-AGI/issues/953)), to pushing for Opus 4.6 support ([#962](https://github.com/enricoros/big-AGI/issues/962)), and [many more (31 closed tickets!)](https://github.com/enricoros/big-AGI/issues?q=state%3Aclosed%20author%3ASlava-256). Slava's thorough testing, precise reports, findings, and reference code are the reason why 2.0.4 was focused on precise parameters support.

<img width="1792" height="1024" alt="0 - A2 - High-key_white_scene_with_impeccable_cleanliness__employing_heroic_framing _A_detailed_close-up_view_of_a_capybara__compellingly_crafted_from_crystal_glass _The_capybara_poses_with_flair__sporting_sleek_black_sunglasses_and_securely_positio" src="https://github.com/user-attachments/assets/257df06f-d365-4bf6-a81a-a9e74f97c0fe" />
 
### Models & Parameters
- Anthropic **Opus 4.6** with adaptive thinking and 1M tokens, **Sonnet 4.6** and new features
- Google **Gemini 3.1 Pro**, **Nano Banana 2**
- OpenAI **GPT-5.4** family with 1M context and reasoning controls
- xAI **Grok 4.20**
- New **Z.ai** GLM models support, with configurable thinking
- **API-validated parameters**: reasoning effort, budget, verbosity, temperature, tools, are tested on live APIs
- **Model-specific controls**: each model exposes only the parameter values it actually supports
- **Automated sweep testing** across native APIs keeps parameter definitions current

### Anthropic API mastery
- Configurable web search and web fetch depth, and dynamic search
- API controls such as **US-based inference** and **Fast mode for Opus** (2.5x speed, at 6x cost)
- Continuation for long outputs (pause_turn support)

### AWS Bedrock support (New)
- Authentication via both IAM credentials, or using a single AWS Bedrock token
- Native support for 3 native AWS Bedrock protocols: Anthropic models via Invoke, Amazon Nova models via Converse, and other models via OpenAI-compatible ChatCompletions

### Also New
- Attachments on any message, lossless images option (warning: can be very large on Gemini models)
- Rich text copy, reasoning trace controls
- System theme mode follow
- [Mobile focus mode](https://github.com/enricoros/big-AGI/issues/894)

## New Contributors
* @Blacksuan19 made their first contribution (SSR guard, system theme mode) in https://github.com/enricoros/big-AGI/pull/1011
* @dLo999 made their first contribution (local time for backup exports) in https://github.com/enricoros/big-AGI/pull/1041
* **Full Changelog**: https://github.com/enricoros/big-AGI/compare/v2.0.3...v2.0.4

## Get Started
Available now at [big-agi.com](https://big-agi.com), via Docker, or self-host from source.