Modified the readme to be more friendly to new users#16
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README.md
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| **Q:** Why did I get error message of "The model `gpt-4o` does not exist or you do not have access to it.` when I talked goose? | ||
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| (goose can be extended to support any LLM or combination of LLMs). | ||
| **A:** You can find out the LLM provider and models in the configuration file `~/.config/goose/sessions` here to check whether your LLM provider account has access to the models. For example, after you have made a successful payment of $5 or more (usage tier 1), you'll be able to access the GPT-4, GPT-4 Turbo, GPT-4o models via the OpenAI API. [How can I access GPT-4, GPT-4 Turbo, GPT-4o, and GPT-4o mini?](https://help.openai.com/en/articles/7102672-how-can-i-access-gpt-4-gpt-4-turbo-gpt-4o-and-gpt-4o-mini). |
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did you mean ~/.config/goose/profile.yaml?
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oh! yes, I used the wrong file
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…l-commit-title-pr * origin/main: feat: show available toolkits (#37) adding in ability to provide per repo hints (#32) Apply ruff and add to CI (#40) added some regex based checks for dangerous commands (#38) chore: Update publish github workflow to check package versions before publishing (#19) chore: upgrade ai-exchange dependency (#36) fix: resuming sessions (#35) feat: upgrade `ai-exchange` to version `0.8.3` and fix tests (#34) fix: export metadata.plugins export should have valid module (#30) fix (#24) link to vs code extension (#20) Enable cli options for plugin (#22) Modified the readme to be more friendly to new users (#16) chore: gitignore generated lockfile (#15) add prompts (#11) conditionally publish only when config changes (#9)
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* modified README to be friendly to new users
lukealvoeiro
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* main: fix: typo in exchange method `rewind` (#54) fix: remove unsafe pop of messages (#47) chore: Update LICENSE (#53) chore(docs): update is_dangerous_command method description (#48) refactor: improve safety rails speed and prompt (#45) feat: make goosehints jinja templated (#43) ci: enforce PR title follows conventional commit (#14) feat: show available toolkits (#37) adding in ability to provide per repo hints (#32) Apply ruff and add to CI (#40) added some regex based checks for dangerous commands (#38) chore: Update publish github workflow to check package versions before publishing (#19) chore: upgrade ai-exchange dependency (#36) fix: resuming sessions (#35) feat: upgrade `ai-exchange` to version `0.8.3` and fix tests (#34) fix: export metadata.plugins export should have valid module (#30) fix (#24) link to vs code extension (#20) Enable cli options for plugin (#22) Modified the readme to be more friendly to new users (#16)
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* modified README to be friendly to new users
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* modified README to be friendly to new users
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* modified README to be friendly to new users
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nkuhn-vmw
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Feb 10, 2026
Implement a first-class provider for Tanzu AI Services, enabling enterprise-managed LLM access through Cloud Foundry service bindings with an OpenAI-compatible API. - Add TanzuAIServicesProvider using OpenAiCompatibleProvider - Support single-model and multi-model credential formats - Support VCAP_SERVICES auto-detection for Cloud Foundry - Implement config_url model discovery and capability filtering - Register as Builtin provider in init.rs - Add 14 unit tests and 10 integration tests (wiremock) - Update providers.md documentation Closes block#1, block#2, block#3, block#4, block#5, block#6, block#7, block#8, block#12, block#16 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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