Add hexai config to dotfiles (Linux only)

Manage ~/.config/hexai/config.toml from the dotfiles repo, mirroring how
helix, lazygit, and opencode are handled. The home_hexai task is
gated to Linux because hexai is currently only used on the Linux
workstation.

The deployed config sets Ollama Cloud (kimi-k2.6 at https://ollama.com)
as the default provider and uses gemma4:31b for in-code completion.
The API key is read from $HEXAI_OLLAMA_API_KEY (or $OLLAMA_API_KEY).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

2 files changed, 39 insertions, 0 deletions

diff --git a/Rexfile b/Rexfile
index f512415..a9c1c5e 100644
--- a/Rexfile
+++ b/Rexfile
@@ -146,6 +146,16 @@ task 'home_helix', sub { ensure "$DOT/helix/*" => "$HOME/.config/helix/" };
 desc 'Install ~/.config/ghostty';
 task 'home_ghostty', sub { ensure "$DOT/ghostty/*" => "$HOME/.config/ghostty/" };
 
+desc 'Install ~/.config/hexai (Linux only)';
+task 'home_hexai', sub {
+    if ( $^O eq 'linux' ) {
+        ensure "$DOT/hexai/*" => "$HOME/.config/hexai/";
+    }
+    else {
+        Rex::Logger::info( 'Skipping hexai configuration (not on Linux)', 'warn' );
+    }
+};
+
 desc 'Install ~/.config/lazygit';
 task 'home_lazygit', sub { ensure "$DOT/lazygit/*" => "$HOME/.config/lazygit/" };
 
diff --git a/hexai/config.toml b/hexai/config.toml
new file mode 100644
index 0000000..388faf2
--- /dev/null
+++ b/hexai/config.toml
@@ -0,0 +1,29 @@
+# Hexai Configuration File
+
+[mcp]
+# Directory where MCP prompts are stored
+prompts_dir = "~/.local/hexai/data/prompts"
+
+# Enable automatic syncing of MCP prompts to slash command files
+slashcommand_sync = true
+
+# Directory where slash command files will be written
+slashcommand_dir = "~/.cursor/commands"
+
+# Default LLM provider for chat / CLI / code actions. The API key is read from
+# the environment (HEXAI_OLLAMA_API_KEY, falling back to OLLAMA_API_KEY).
+[provider]
+name = "ollama"
+
+[ollama]
+model       = "kimi-k2.6"
+base_url    = "https://ollama.com"
+temperature = 0.2
+
+# In-code auto-completion uses gemma4:31b (the dense larger Gemma 4 on Ollama
+# Cloud). It's faster and tighter than kimi-k2.6 for short, latency-sensitive
+# completions while everything else still defaults to kimi-k2.6 above.
+[[models.completion]]
+provider    = "ollama"
+model       = "gemma4:31b"
+temperature = 0.2