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chore(aaif): rename a bunch of repository references (#8152)

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Signed-off-by: Michael Neale <michael.neale@gmail.com>
Co-authored-by: Michael Neale <michael.neale@gmail.com>

continuing migration to aaif
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Jack Amadeo
2026-04-07 01:34:48 -04:00
committed by GitHub
parent 0b080faad5
commit 583acd4335
236 changed files with 1097 additions and 962 deletions
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documentation/docs/getting-started/providers.md
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@@ -50,7 +50,7 @@ goose is compatible with a wide range of LLM providers, allowing you to choose a
| [xAI](https://x.ai/) | Access to xAI's Grok models including grok-3, grok-3-mini, and grok-3-fast with 131,072 token context window. | `XAI_API_KEY`, `XAI_HOST` (optional) |
:::tip Prompt Caching for Claude Models
goose automatically enables Anthropic's [prompt caching](https://platform.claude.com/docs/en/build-with-claude/prompt-caching) when using Claude models via Anthropic, Amazon Bedrock, Databricks, OpenRouter, and LiteLLM providers. This adds `cache_control` markers to requests, which can reduce costs for longer conversations by caching frequently-used context. See the [provider implementations](https://github.com/block/goose/tree/main/crates/goose/src/providers) for technical details.
goose automatically enables Anthropic's [prompt caching](https://platform.claude.com/docs/en/build-with-claude/prompt-caching) when using Claude models via Anthropic, Amazon Bedrock, Databricks, OpenRouter, and LiteLLM providers. This adds `cache_control` markers to requests, which can reduce costs for longer conversations by caching frequently-used context. See the [provider implementations](https://github.com/aaif-goose/goose/tree/main/crates/goose/src/providers) for technical details.
:::
### CLI Providers
@@ -664,7 +664,7 @@ Groq offers several open source models that support tool calling, including:
- **llama-3.3-70b-versatile** - Meta's Llama 3.3 model for versatile applications
- **llama-3.1-8b-instant** - Meta's Llama 3.1 model for fast inference
For the complete list of supported Groq models, see [groq.json](https://github.com/block/goose/blob/main/crates/goose/src/providers/declarative/groq.json).
For the complete list of supported Groq models, see [groq.json](https://github.com/aaif-goose/goose/blob/main/crates/goose/src/providers/declarative/groq.json).
To set up Groq with goose, follow these steps:
@@ -1283,7 +1283,7 @@ Reasoning output can be useful for understanding how the model arrived at its an
---
If you have any questions or need help with a specific provider, feel free to reach out to us on [Discord](https://discord.gg/goose-oss) or on the [goose repo](https://github.com/block/goose).
If you have any questions or need help with a specific provider, feel free to reach out to us on [Discord](https://discord.gg/goose-oss) or on the [goose repo](https://github.com/aaif-goose/goose).
[providers]: /docs/getting-started/providers