docs: add in ollama (#82)
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@@ -101,14 +101,16 @@ default:
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You can edit this configuration file to use different LLMs and toolkits in `goose`. `goose can also be extended to support any LLM or combination of LLMs
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You can edit this configuration file to use different LLMs and toolkits in `goose`. `goose can also be extended to support any LLM or combination of LLMs
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#### provider
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#### provider
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Provider of LLM. LLM providers that currently are supported by `goose`:
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Provider of LLM. LLM providers that currently are supported by `goose` (more can be supported by plugins):
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| Provider | Required environment variable(s) to access provider |
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| Provider | Required environment variable(s) to access provider |
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| :----- | :------------------------------ |
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| :----- | :------------------------------ |
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| openai | `OPENAI_API_KEY` |
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| openai | `OPENAI_API_KEY` |
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| anthropic | `ANTHROPIC_API_KEY` |
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| anthropic | `ANTHROPIC_API_KEY` |
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| databricks | `DATABRICKS_HOST` and `DATABRICKS_TOKEN` |
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| databricks | `DATABRICKS_HOST` and `DATABRICKS_TOKEN` |
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| ollama * | `OLLAMA_HOST` and ollama running |
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* ollama is for local LLMs, and is limited by the tool calling model you can choose and run on local hardware, considered experimental.
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#### processor
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#### processor
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Model for complex, multi-step tasks such as writing code and executing commands. Example: `gpt-4o`. You should choose the model based the provider you configured.
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Model for complex, multi-step tasks such as writing code and executing commands. Example: `gpt-4o`. You should choose the model based the provider you configured.
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