feat: add Fireworks AI provider for chat agent

Routes chat-completions through a managed OpenAI-compatible inference
endpoint as an alternative to local Ollama, useful when the agent needs
fast multi-hop reasoning that local hardware can't sustain.

- backend: rename `call_ollama_chat_messages` → `call_chat_messages`,
  dispatch by provider; add `call_fireworks` branch (Bearer auth,
  `response_format: json_object` mapped from internal `format="json"`)
  and `list_fireworks_models` Tauri command
- settings: extend `AiProvider` enum + `AiSettings.fireworks_api_key`
  (serde-default for legacy config compat); Fireworks base URL hardcoded
- UI: provider selector in both popover and AppSettingsSheet (only
  ollama+fireworks shown; legacy openai/anthropic kept for serde-compat
  but normalized to ollama in UI); password input + dynamic model list
  for Fireworks; switching provider clears stale model selection
- 4 unit tests: serde round-trip, legacy settings deserialization,
  Fireworks chat-completions parsing, models-list parsing

src-tauri/src/commands/ai.rs

@@ -1,6 +1,7 @@
 use crate::error::{TuskError, TuskResult};
 use crate::models::ai::{
-    AiProvider, AiSettings, OllamaChatMessage, OllamaChatRequest, OllamaChatResponse, OllamaModel,
+    AiProvider, AiSettings, FireworksChatRequest, FireworksChatResponse, FireworksModelsResponse,
+    FireworksResponseFormat, OllamaChatMessage, OllamaChatRequest, OllamaChatResponse, OllamaModel,
     OllamaTagsResponse,
 };
 use crate::state::{AppState, DbFlavor};
@@ -13,6 +14,7 @@ use tauri::{AppHandle, Manager, State};
 
 const MAX_RETRIES: u32 = 2;
 const RETRY_DELAY_MS: u64 = 1000;
+const FIREWORKS_BASE_URL: &str = "https://api.fireworks.ai/inference/v1";
 
 fn http_client() -> &'static reqwest::Client {
     use std::sync::LazyLock;
@@ -85,6 +87,42 @@ pub async fn list_ollama_models(ollama_url: String) -> TuskResult<Vec<OllamaMode
     Ok(tags.models)
 }
 
+#[tauri::command]
+pub async fn list_fireworks_models(api_key: String) -> TuskResult<Vec<OllamaModel>> {
+    let key = api_key.trim();
+    if key.is_empty() {
+        return Err(TuskError::Ai("Fireworks API key required".to_string()));
+    }
+
+    let url = format!("{}/models", FIREWORKS_BASE_URL);
+    let resp = http_client()
+        .get(&url)
+        .bearer_auth(key)
+        .send()
+        .await
+        .map_err(|e| TuskError::Ai(format!("Cannot reach Fireworks: {}", e)))?;
+
+    if !resp.status().is_success() {
+        let status = resp.status();
+        let body = resp.text().await.unwrap_or_default();
+        return Err(TuskError::Ai(format!(
+            "Fireworks error ({}): {}",
+            status, body
+        )));
+    }
+
+    let parsed: FireworksModelsResponse = resp
+        .json()
+        .await
+        .map_err(|e| TuskError::Ai(format!("Failed to parse Fireworks models list: {}", e)))?;
+
+    Ok(parsed
+        .data
+        .into_iter()
+        .map(|m| OllamaModel { name: m.id })
+        .collect())
+}
+
 async fn call_ai_with_retry<F, Fut, T>(
     _settings: &AiSettings,
     operation: &str,
@@ -142,13 +180,13 @@ pub(crate) async fn load_ai_settings(app: &AppHandle, state: &AppState) -> TuskR
     Ok(settings)
 }
 
-async fn call_ollama_chat(
+async fn call_chat_simple(
     app: &AppHandle,
     state: &AppState,
     system_prompt: String,
     user_content: String,
 ) -> TuskResult<String> {
-    call_ollama_chat_messages(
+    call_chat_messages(
         app,
         state,
         vec![
@@ -166,7 +204,10 @@ async fn call_ollama_chat(
     .await
 }
 
-pub(crate) async fn call_ollama_chat_messages(
+/// Provider-agnostic chat-completions dispatcher used by every LLM-driven feature
+/// (chat agent, generate_sql, explain_sql, fix_sql_error). Returns the model's
+/// raw text content.
+pub(crate) async fn call_chat_messages(
     app: &AppHandle,
     state: &AppState,
     messages: Vec<OllamaChatMessage>,
@@ -180,24 +221,30 @@ pub(crate) async fn call_ollama_chat_messages(
         ));
     }
 
-    if settings.provider != AiProvider::Ollama {
+    match settings.provider {
-        return Err(TuskError::Ai(format!(
+        AiProvider::Ollama => call_ollama(&settings, messages, format).await,
+        AiProvider::Fireworks => call_fireworks(&settings, messages, format).await,
+        AiProvider::OpenAi | AiProvider::Anthropic => Err(TuskError::Ai(format!(
             "Provider {:?} not implemented yet",
             settings.provider
-        )));
+        ))),
+    }
 }
 
-    let model = settings.model.clone();
+async fn call_ollama(
+    settings: &AiSettings,
+    messages: Vec<OllamaChatMessage>,
+    format: Option<String>,
+) -> TuskResult<String> {
     let url = format!("{}/api/chat", settings.ollama_url.trim_end_matches('/'));
-
     let request = OllamaChatRequest {
-        model: model.clone(),
+        model: settings.model.clone(),
         messages,
         stream: false,
         format,
     };
 
-    call_ai_with_retry(&settings, "Ollama request", || {
+    call_ai_with_retry(settings, "Ollama request", || {
         let url = url.clone();
         let request = request.clone();
         async move {
@@ -230,6 +277,75 @@ pub(crate) async fn call_ollama_chat_messages(
     .await
 }
 
+async fn call_fireworks(
+    settings: &AiSettings,
+    messages: Vec<OllamaChatMessage>,
+    format: Option<String>,
+) -> TuskResult<String> {
+    let api_key = settings
+        .fireworks_api_key
+        .clone()
+        .map(|k| k.trim().to_string())
+        .filter(|k| !k.is_empty())
+        .ok_or_else(|| {
+            TuskError::Ai("Fireworks API key not set. Open AI settings to add it.".to_string())
+        })?;
+
+    let url = format!("{}/chat/completions", FIREWORKS_BASE_URL);
+    let response_format = format.as_deref().map(|f| FireworksResponseFormat {
+        kind: if f == "json" {
+            "json_object".to_string()
+        } else {
+            f.to_string()
+        },
+    });
+
+    let request = FireworksChatRequest {
+        model: settings.model.clone(),
+        messages,
+        temperature: 0.0,
+        response_format,
+    };
+
+    call_ai_with_retry(settings, "Fireworks request", || {
+        let url = url.clone();
+        let request = request.clone();
+        let api_key = api_key.clone();
+        async move {
+            let resp = http_client()
+                .post(&url)
+                .bearer_auth(&api_key)
+                .json(&request)
+                .send()
+                .await
+                .map_err(|e| {
+                    TuskError::Ai(format!("Cannot reach Fireworks at {}: {}", url, e))
+                })?;
+
+            if !resp.status().is_success() {
+                let status = resp.status();
+                let body = resp.text().await.unwrap_or_default();
+                return Err(TuskError::Ai(format!(
+                    "Fireworks error ({}): {}",
+                    status, body
+                )));
+            }
+
+            let parsed: FireworksChatResponse = resp.json().await.map_err(|e| {
+                TuskError::Ai(format!("Failed to parse Fireworks response: {}", e))
+            })?;
+
+            parsed
+                .choices
+                .into_iter()
+                .next()
+                .map(|c| c.message.content)
+                .ok_or_else(|| TuskError::Ai("Fireworks returned no choices".to_string()))
+        }
+    })
+    .await
+}
+
 // ---------------------------------------------------------------------------
 // SQL generation
 // ---------------------------------------------------------------------------
@@ -310,7 +426,7 @@ pub async fn generate_sql(
         schema_text
     );
 
-    let raw = call_ollama_chat(&app, &state, system_prompt, prompt).await?;
+    let raw = call_chat_simple(&app, &state, system_prompt, prompt).await?;
     Ok(clean_sql_response(&raw))
 }
 
@@ -347,7 +463,7 @@ pub async fn explain_sql(
         schema_text
     );
 
-    call_ollama_chat(&app, &state, system_prompt, sql).await
+    call_chat_simple(&app, &state, system_prompt, sql).await
 }
 
 // ---------------------------------------------------------------------------
@@ -391,7 +507,7 @@ pub async fn fix_sql_error(
 
     let user_content = format!("SQL query:\n{}\n\nError message:\n{}", sql, error_message);
 
-    let raw = call_ollama_chat(&app, &state, system_prompt, user_content).await?;
+    let raw = call_chat_simple(&app, &state, system_prompt, user_content).await?;
     Ok(clean_sql_response(&raw))
 }
 
@@ -1453,4 +1569,60 @@ mod tests {
             "SELECT\n  *\nFROM users"
         );
     }
+
+    // ── Fireworks provider ───────────────────────────────────
+
+    #[test]
+    fn serializes_fireworks_provider() {
+        let json = serde_json::to_string(&AiProvider::Fireworks).unwrap();
+        assert_eq!(json, "\"fireworks\"");
+    }
+
+    #[test]
+    fn deserializes_legacy_settings_without_fireworks_key() {
+        // Old config files won't have `fireworks_api_key` — must still parse.
+        let legacy = r#"{
+            "provider": "ollama",
+            "ollama_url": "http://localhost:11434",
+            "openai_api_key": null,
+            "anthropic_api_key": null,
+            "model": "qwen2.5-coder:7b"
+        }"#;
+        let parsed: AiSettings = serde_json::from_str(legacy).unwrap();
+        assert_eq!(parsed.provider, AiProvider::Ollama);
+        assert_eq!(parsed.ollama_url, "http://localhost:11434");
+        assert!(parsed.fireworks_api_key.is_none());
+        assert_eq!(parsed.model, "qwen2.5-coder:7b");
+    }
+
+    #[test]
+    fn parses_fireworks_chat_response() {
+        let body = r#"{
+            "choices": [
+                {"message": {"role": "assistant", "content": "hi"}}
+            ]
+        }"#;
+        let parsed: FireworksChatResponse = serde_json::from_str(body).unwrap();
+        assert_eq!(parsed.choices.len(), 1);
+        assert_eq!(parsed.choices[0].message.role, "assistant");
+        assert_eq!(parsed.choices[0].message.content, "hi");
+    }
+
+    #[test]
+    fn parses_fireworks_models_list() {
+        let body = r#"{
+            "data": [
+                {"id": "accounts/fireworks/models/qwen2p5-coder-32b-instruct"},
+                {"id": "accounts/fireworks/models/deepseek-v3"}
+            ]
+        }"#;
+        let parsed: FireworksModelsResponse = serde_json::from_str(body).unwrap();
+        let names: Vec<String> = parsed.data.into_iter().map(|m| m.id).collect();
+        assert_eq!(names.len(), 2);
+        assert_eq!(
+            names[0],
+            "accounts/fireworks/models/qwen2p5-coder-32b-instruct"
+        );
+        assert_eq!(names[1], "accounts/fireworks/models/deepseek-v3");
+    }
 }

src-tauri/src/commands/chat.rs

@@ -1,4 +1,4 @@
-use crate::commands::ai::{build_overview_context, call_ollama_chat_messages};
+use crate::commands::ai::{build_overview_context, call_chat_messages};
 use crate::commands::chat_tools::{
     find_queries_tool, get_columns_tool, list_databases_tool, list_tables_tool, save_query_tool,
     switch_database_tool,
@@ -555,7 +555,7 @@ pub async fn chat_send(
 
         let history = build_history(&working, &overview_text, &memory_text);
         let raw =
-            call_ollama_chat_messages(&app, &state, history, Some("json".to_string())).await?;
+            call_chat_messages(&app, &state, history, Some("json".to_string())).await?;
         let trimmed = raw.trim();
 
         let action = match parse_agent_action(trimmed) {
@@ -1039,7 +1039,7 @@ async fn force_final_synthesis(
             content: convo,
         },
     ];
-    match call_ollama_chat_messages(app, state, llm_messages, None).await {
+    match call_chat_messages(app, state, llm_messages, None).await {
         Ok(s) => {
             let cleaned = clean_summary(&s);
             if cleaned.trim().is_empty() {
@@ -1148,7 +1148,7 @@ pub async fn chat_compact(
             content: convo,
         },
     ];
-    let summary = call_ollama_chat_messages(&app, &state, llm_messages, None)
+    let summary = call_chat_messages(&app, &state, llm_messages, None)
         .await
         .map_err(|e| TuskError::Ai(format!("Compact failed: {}", e)))?;
 

src-tauri/src/lib.rs

@@ -110,6 +110,7 @@ pub fn run() {
             commands::ai::get_ai_settings,
             commands::ai::save_ai_settings,
             commands::ai::list_ollama_models,
+            commands::ai::list_fireworks_models,
             commands::ai::generate_sql,
             commands::ai::explain_sql,
             commands::ai::fix_sql_error,

src-tauri/src/models/ai.rs

@@ -7,14 +7,19 @@ pub enum AiProvider {
     Ollama,
     OpenAi,
     Anthropic,
+    Fireworks,
 }
 
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct AiSettings {
     pub provider: AiProvider,
     pub ollama_url: String,
+    #[serde(default)]
     pub openai_api_key: Option<String>,
+    #[serde(default)]
     pub anthropic_api_key: Option<String>,
+    #[serde(default)]
+    pub fireworks_api_key: Option<String>,
     pub model: String,
 }
 
@@ -25,11 +30,14 @@ impl Default for AiSettings {
             ollama_url: "http://localhost:11434".to_string(),
             openai_api_key: None,
             anthropic_api_key: None,
+            fireworks_api_key: None,
             model: String::new(),
         }
     }
 }
 
+/// Generic chat message used by all chat providers (Ollama, Fireworks, OpenAI-compatible).
+/// `{role, content}` shape is identical across these APIs.
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct OllamaChatMessage {
     pub role: String,
@@ -55,7 +63,48 @@ pub struct OllamaTagsResponse {
     pub models: Vec<OllamaModel>,
 }
 
+/// Generic chat-model descriptor exposed to the UI dropdown.
+/// Reused as the return shape for both Ollama and Fireworks model listings.
 #[derive(Debug, Clone, Serialize, Deserialize)]
 pub struct OllamaModel {
     pub name: String,
 }
+
+// ---------------------------------------------------------------------------
+// Fireworks (OpenAI-compatible chat-completions)
+// ---------------------------------------------------------------------------
+
+#[derive(Debug, Clone, Serialize)]
+pub struct FireworksChatRequest {
+    pub model: String,
+    pub messages: Vec<OllamaChatMessage>,
+    pub temperature: f32,
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub response_format: Option<FireworksResponseFormat>,
+}
+
+#[derive(Debug, Clone, Serialize)]
+pub struct FireworksResponseFormat {
+    #[serde(rename = "type")]
+    pub kind: String,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct FireworksChatResponse {
+    pub choices: Vec<FireworksChoice>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct FireworksChoice {
+    pub message: OllamaChatMessage,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct FireworksModelsResponse {
+    pub data: Vec<FireworksModelEntry>,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct FireworksModelEntry {
+    pub id: String,
+}

src/components/ai/AiSettingsFields.tsx

@@ -7,27 +7,66 @@ import {
   SelectTrigger,
   SelectValue,
 } from "@/components/ui/select";
-import { useOllamaModels } from "@/hooks/use-ai";
+import { useFireworksModels, useOllamaModels } from "@/hooks/use-ai";
 import { RefreshCw, Loader2 } from "lucide-react";
+import type { AiProvider, OllamaModel } from "@/types";
 
 interface Props {
+  provider: AiProvider;
   ollamaUrl: string;
   onOllamaUrlChange: (url: string) => void;
+  fireworksApiKey: string;
+  onFireworksApiKeyChange: (key: string) => void;
   model: string;
   onModelChange: (model: string) => void;
 }
 
 export function AiSettingsFields({
+  provider,
+  ollamaUrl,
+  onOllamaUrlChange,
+  fireworksApiKey,
+  onFireworksApiKeyChange,
+  model,
+  onModelChange,
+}: Props) {
+  if (provider === "fireworks") {
+    return (
+      <FireworksFields
+        apiKey={fireworksApiKey}
+        onApiKeyChange={onFireworksApiKeyChange}
+        model={model}
+        onModelChange={onModelChange}
+      />
+    );
+  }
+
+  return (
+    <OllamaFields
+      ollamaUrl={ollamaUrl}
+      onOllamaUrlChange={onOllamaUrlChange}
+      model={model}
+      onModelChange={onModelChange}
+    />
+  );
+}
+
+function OllamaFields({
   ollamaUrl,
   onOllamaUrlChange,
   model,
   onModelChange,
-}: Props) {
+}: {
+  ollamaUrl: string;
+  onOllamaUrlChange: (url: string) => void;
+  model: string;
+  onModelChange: (model: string) => void;
+}) {
   const {
     data: models,
-    isLoading: modelsLoading,
+    isLoading,
-    isError: modelsError,
+    isError,
-    refetch: refetchModels,
+    refetch,
   } = useOllamaModels(ollamaUrl);
 
   return (
@@ -42,6 +81,88 @@ export function AiSettingsFields({
         />
       </div>
 
+      <ModelDropdown
+        models={models}
+        loading={isLoading}
+        errored={isError}
+        errorText="Cannot connect to Ollama"
+        onRefresh={() => refetch()}
+        model={model}
+        onModelChange={onModelChange}
+      />
+    </>
+  );
+}
+
+function FireworksFields({
+  apiKey,
+  onApiKeyChange,
+  model,
+  onModelChange,
+}: {
+  apiKey: string;
+  onApiKeyChange: (key: string) => void;
+  model: string;
+  onModelChange: (model: string) => void;
+}) {
+  const {
+    data: models,
+    isLoading,
+    isError,
+    refetch,
+  } = useFireworksModels(apiKey);
+
+  return (
+    <>
+      <div className="flex flex-col gap-1.5">
+        <label className="text-xs text-muted-foreground">Fireworks API key</label>
+        <Input
+          type="password"
+          value={apiKey}
+          onChange={(e) => onApiKeyChange(e.target.value)}
+          placeholder="fw_..."
+          className="h-8 text-xs"
+          autoComplete="off"
+        />
+        <p className="text-[10px] text-muted-foreground/70">
+          Stored locally; sent only to api.fireworks.ai.
+        </p>
+      </div>
+
+      <ModelDropdown
+        models={models}
+        loading={isLoading}
+        errored={isError}
+        errorText="Cannot reach Fireworks (check API key)"
+        onRefresh={() => refetch()}
+        model={model}
+        onModelChange={onModelChange}
+        emptyHint={apiKey.trim() ? "Click ↻ to load models" : "Enter API key first"}
+      />
+    </>
+  );
+}
+
+function ModelDropdown({
+  models,
+  loading,
+  errored,
+  errorText,
+  onRefresh,
+  model,
+  onModelChange,
+  emptyHint,
+}: {
+  models: OllamaModel[] | undefined;
+  loading: boolean;
+  errored: boolean;
+  errorText: string;
+  onRefresh: () => void;
+  model: string;
+  onModelChange: (model: string) => void;
+  emptyHint?: string;
+}) {
+  return (
     <div className="flex flex-col gap-1.5">
       <div className="flex items-center justify-between">
         <label className="text-xs text-muted-foreground">Model</label>
@@ -49,23 +170,23 @@ export function AiSettingsFields({
           size="sm"
           variant="ghost"
           className="h-5 w-5 p-0"
-            onClick={() => refetchModels()}
+          onClick={onRefresh}
-            disabled={modelsLoading}
+          disabled={loading}
           title="Refresh models"
         >
-            {modelsLoading ? (
+          {loading ? (
             <Loader2 className="h-3 w-3 animate-spin" />
           ) : (
             <RefreshCw className="h-3 w-3" />
           )}
         </Button>
       </div>
-        {modelsError ? (
+      {errored ? (
-          <p className="text-xs text-destructive">Cannot connect to Ollama</p>
+        <p className="text-xs text-destructive">{errorText}</p>
       ) : (
         <Select value={model} onValueChange={onModelChange}>
           <SelectTrigger className="h-8 w-full text-xs">
-              <SelectValue placeholder="Select a model" />
+            <SelectValue placeholder={emptyHint ?? "Select a model"} />
           </SelectTrigger>
           <SelectContent>
             {models?.map((m) => (
@@ -77,6 +198,5 @@ export function AiSettingsFields({
         </Select>
       )}
     </div>
-    </>
   );
 }

src/components/ai/AiSettingsPopover.tsx

@@ -4,25 +4,68 @@ import {
   PopoverContent,
   PopoverTrigger,
 } from "@/components/ui/popover";
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from "@/components/ui/select";
 import { Button } from "@/components/ui/button";
 import { useAiSettings, useSaveAiSettings } from "@/hooks/use-ai";
 import { Settings } from "lucide-react";
 import { toast } from "sonner";
 import { AiSettingsFields } from "./AiSettingsFields";
+import type { AiProvider } from "@/types";
+
+const SUPPORTED_PROVIDERS: { value: AiProvider; label: string }[] = [
+  { value: "ollama", label: "Ollama (local)" },
+  { value: "fireworks", label: "Fireworks AI" },
+];
 
 export function AiSettingsPopover() {
   const { data: settings } = useAiSettings();
   const saveMutation = useSaveAiSettings();
 
+  const [provider, setProvider] = useState<AiProvider | null>(null);
   const [url, setUrl] = useState<string | null>(null);
+  const [fireworksKey, setFireworksKey] = useState<string | null>(null);
   const [model, setModel] = useState<string | null>(null);
 
+  const settingsProvider = settings?.provider;
+  // Hide unsupported legacy values (openai/anthropic) from the selector.
+  const normalizedSettingsProvider: AiProvider | undefined =
+    settingsProvider === "ollama" || settingsProvider === "fireworks"
+      ? settingsProvider
+      : settingsProvider
+        ? "ollama"
+        : undefined;
+
+  const currentProvider: AiProvider =
+    provider ?? normalizedSettingsProvider ?? "ollama";
   const currentUrl = url ?? settings?.ollama_url ?? "http://localhost:11434";
+  const currentFireworksKey =
+    fireworksKey ?? settings?.fireworks_api_key ?? "";
   const currentModel = model ?? settings?.model ?? "";
 
+  const handleProviderChange = (next: AiProvider) => {
+    if (next === currentProvider) return;
+    setProvider(next);
+    // Model lists differ between providers — drop the previous selection.
+    setModel("");
+  };
+
   const handleSave = () => {
     saveMutation.mutate(
-      { provider: "ollama", ollama_url: currentUrl, model: currentModel },
+      {
+        provider: currentProvider,
+        ollama_url: currentUrl,
+        fireworks_api_key:
+          currentProvider === "fireworks"
+            ? currentFireworksKey.trim() || undefined
+            : settings?.fireworks_api_key,
+        model: currentModel,
+      },
       {
         onSuccess: () => toast.success("AI settings saved"),
         onError: (err) =>
@@ -47,11 +90,33 @@ export function AiSettingsPopover() {
       </PopoverTrigger>
       <PopoverContent className="w-80" align="end">
         <div className="flex flex-col gap-3">
-          <h4 className="text-sm font-medium">Ollama Settings</h4>
+          <h4 className="text-sm font-medium">AI Settings</h4>
+
+          <div className="flex flex-col gap-1.5">
+            <label className="text-xs text-muted-foreground">Provider</label>
+            <Select
+              value={currentProvider}
+              onValueChange={(v) => handleProviderChange(v as AiProvider)}
+            >
+              <SelectTrigger className="h-8 w-full text-xs">
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                {SUPPORTED_PROVIDERS.map((p) => (
+                  <SelectItem key={p.value} value={p.value}>
+                    {p.label}
+                  </SelectItem>
+                ))}
+              </SelectContent>
+            </Select>
+          </div>
 
           <AiSettingsFields
+            provider={currentProvider}
             ollamaUrl={currentUrl}
             onOllamaUrlChange={setUrl}
+            fireworksApiKey={currentFireworksKey}
+            onFireworksApiKeyChange={setFireworksKey}
             model={currentModel}
             onModelChange={setModel}
           />

src/components/settings/AppSettingsSheet.tsx

@@ -22,7 +22,12 @@ import { useAiSettings, useSaveAiSettings } from "@/hooks/use-ai";
 import { AiSettingsFields } from "@/components/ai/AiSettingsFields";
 import { Loader2, Copy, Check } from "lucide-react";
 import { toast } from "sonner";
-import type { AppSettings } from "@/types";
+import type { AiProvider, AppSettings } from "@/types";
+
+const SUPPORTED_AI_PROVIDERS: { value: AiProvider; label: string }[] = [
+  { value: "ollama", label: "Ollama (local)" },
+  { value: "fireworks", label: "Fireworks AI" },
+];
 
 interface Props {
   open: boolean;
@@ -42,7 +47,9 @@ export function AppSettingsSheet({ open, onOpenChange }: Props) {
   const [mcpPort, setMcpPort] = useState(9427);
 
   // AI state
+  const [aiProvider, setAiProvider] = useState<AiProvider>("ollama");
   const [ollamaUrl, setOllamaUrl] = useState("http://localhost:11434");
+  const [fireworksApiKey, setFireworksApiKey] = useState("");
   const [aiModel, setAiModel] = useState("");
 
   const [copied, setCopied] = useState(false);
@@ -61,11 +68,23 @@ export function AppSettingsSheet({ open, onOpenChange }: Props) {
   if (aiSettings !== prevAiSettings) {
     setPrevAiSettings(aiSettings);
     if (aiSettings) {
+      // Legacy openai/anthropic values aren't user-selectable here — fall back to ollama.
+      setAiProvider(
+        aiSettings.provider === "fireworks" ? "fireworks" : "ollama"
+      );
       setOllamaUrl(aiSettings.ollama_url);
+      setFireworksApiKey(aiSettings.fireworks_api_key ?? "");
       setAiModel(aiSettings.model);
     }
   }
 
+  const handleAiProviderChange = (next: AiProvider) => {
+    if (next === aiProvider) return;
+    setAiProvider(next);
+    // Model lists differ per provider — clear stale selection.
+    setAiModel("");
+  };
+
   const mcpEndpoint = `http://127.0.0.1:${mcpPort}/mcp`;
 
   const handleCopy = async () => {
@@ -89,7 +108,15 @@ export function AppSettingsSheet({ open, onOpenChange }: Props) {
 
     // Save AI settings separately
     saveAiMutation.mutate(
-      { provider: "ollama", ollama_url: ollamaUrl, model: aiModel },
+      {
+        provider: aiProvider,
+        ollama_url: ollamaUrl,
+        fireworks_api_key:
+          aiProvider === "fireworks"
+            ? fireworksApiKey.trim() || undefined
+            : aiSettings?.fireworks_api_key,
+        model: aiModel,
+      },
       {
         onError: (err) =>
           toast.error("Failed to save AI settings", { description: String(err) }),
@@ -179,19 +206,29 @@ export function AppSettingsSheet({ open, onOpenChange }: Props) {
 
             <div className="flex flex-col gap-1.5">
               <label className="text-xs text-muted-foreground">Provider</label>
-              <Select value="ollama" disabled>
+              <Select
+                value={aiProvider}
+                onValueChange={(v) => handleAiProviderChange(v as AiProvider)}
+              >
                 <SelectTrigger className="h-8 text-xs">
                   <SelectValue />
                 </SelectTrigger>
                 <SelectContent>
-                  <SelectItem value="ollama">Ollama</SelectItem>
+                  {SUPPORTED_AI_PROVIDERS.map((p) => (
+                    <SelectItem key={p.value} value={p.value}>
+                      {p.label}
+                    </SelectItem>
+                  ))}
                 </SelectContent>
               </Select>
             </div>
 
             <AiSettingsFields
+              provider={aiProvider}
               ollamaUrl={ollamaUrl}
               onOllamaUrlChange={setOllamaUrl}
+              fireworksApiKey={fireworksApiKey}
+              onFireworksApiKeyChange={setFireworksApiKey}
               model={aiModel}
               onModelChange={setAiModel}
             />

src/hooks/use-ai.ts

@@ -3,6 +3,7 @@ import {
   getAiSettings,
   saveAiSettings,
   listOllamaModels,
+  listFireworksModels,
   generateSql,
   explainSql,
   fixSqlError,
@@ -36,6 +37,16 @@ export function useOllamaModels(ollamaUrl: string | undefined) {
   });
 }
 
+export function useFireworksModels(apiKey: string | undefined) {
+  return useQuery({
+    queryKey: ["fireworks-models", apiKey],
+    queryFn: () => listFireworksModels(apiKey!),
+    enabled: !!apiKey && apiKey.trim().length > 0,
+    retry: false,
+    staleTime: 60_000,
+  });
+}
+
 export function useGenerateSql() {
   return useMutation({
     mutationFn: ({

src/lib/tauri.ts

@@ -211,6 +211,9 @@ export const saveAiSettings = (settings: AiSettings) =>
 export const listOllamaModels = (ollamaUrl: string) =>
   invoke<OllamaModel[]>("list_ollama_models", { ollamaUrl });
 
+export const listFireworksModels = (apiKey: string) =>
+  invoke<OllamaModel[]>("list_fireworks_models", { apiKey });
+
 export const generateSql = (connectionId: string, prompt: string) =>
   invoke<string>("generate_sql", { connectionId, prompt });
 

src/types/index.ts

@@ -134,13 +134,14 @@ export interface SavedQuery {
   created_at: string;
 }
 
-export type AiProvider = "ollama" | "openai" | "anthropic";
+export type AiProvider = "ollama" | "openai" | "anthropic" | "fireworks";
 
 export interface AiSettings {
   provider: AiProvider;
   ollama_url: string;
   openai_api_key?: string;
   anthropic_api_key?: string;
+  fireworks_api_key?: string;
   model: string;
 }