switched to openrouter/free as the default model
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@@ -40,7 +40,7 @@ All implementations read `model.cfg` (or `.bantam.cfg`, which takes priority if
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1. Configure `model.cfg` (or `.bantam.cfg`, which takes priority) with your API settings:
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```ini
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endpoint=https://api.kilo.ai/api/openrouter
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model=kilo-auto/free
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model=openrouter/free
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temperature=0.7
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api_key=your_api_key_here
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stream=true
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@@ -141,7 +141,7 @@ If the API rejects the request with an `Invalid assistant message: content or to
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(shared by all implementations; the config file — `.bantam.cfg` takes priority over `model.cfg` when both exist — is plain `key=value` with `#` comments)
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- `endpoint` (base OpenAI-compatible API URL, default `https://api.kilo.ai/api/openrouter`)
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- `model` (model name, default `kilo-auto/free`)
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- `model` (model name, default `openrouter/free`)
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- `temperature` (model temperature, default 0.7)
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- `api_key` (API key / Bearer token, optional; fall back to `OPENAI_API_KEY` env var)
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- `stream` (stream response tokens in real-time, default `true`)
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@@ -307,7 +307,7 @@ Set the `BANTAM_TOOLS_DIR` environment variable (or the `bantam_tools_dir` key i
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### Is there any common config place for Bantam?
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No, loading the config file (`.bantam.cfg` if present, else `model.cfg`) is deliberately only supported from the current working directory. This allows natural separation of configs per project. In case there's no config file inside the project, Bantam will use the `kilo-auto/free` model from Kilo Code with the temperature 0.7.
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No, loading the config file (`.bantam.cfg` if present, else `model.cfg`) is deliberately only supported from the current working directory. This allows natural separation of configs per project. In case there's no config file inside the project, Bantam will use the `openrouter/free` model from Kilo Code with the temperature 0.7.
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### Why no MCP support?
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