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Steve Androulakis
2025-01-24 17:07:19 -08:00
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@@ -21,7 +21,7 @@ The agent can use OpenAI's GPT-4o, Google Gemini, Anthropic Claude, or a local L
- `LLM_PROVIDER=openai` for OpenAI's GPT-4o - `LLM_PROVIDER=openai` for OpenAI's GPT-4o
- `LLM_PROVIDER=google` for Google Gemini - `LLM_PROVIDER=google` for Google Gemini
- `LLM_PROVIDER=anthropic` for Anthropic - `LLM_PROVIDER=anthropic` for Anthropic
- `LLM_PROVIDER=ollama` for the local LLM via Ollama (not recommended for this use case) - `LLM_PROVIDER=ollama` for running LLMs via [Ollama](https://ollama.ai) (not recommended for this use case)
### Option 1: OpenAI ### Option 1: OpenAI
@@ -51,7 +51,7 @@ To use a local LLM with Ollama:
2. Set `LLM_PROVIDER=ollama` in your `.env` file and `OLLAMA_MODEL_NAME` to the name of the model you installed. 2. Set `LLM_PROVIDER=ollama` in your `.env` file and `OLLAMA_MODEL_NAME` to the name of the model you installed.
Note: The local LLM is disabled by default as ChatGPT 4o was found to be MUCH more reliable for this use case. However, you can switch to Ollama if desired. Note: I found the other (hosted) LLMs to be MUCH more reliable for this use case. However, you can switch to Ollama if desired, and choose a suitably large model if your computer has the resources.
## Agent Tools ## Agent Tools
* Requires a Rapidapi key for sky-scrapper (how we find flights). Set this in the `RAPIDAPI_KEY` environment variable in .env * Requires a Rapidapi key for sky-scrapper (how we find flights). Set this in the `RAPIDAPI_KEY` environment variable in .env