Add workspaces, conversation sessions, app-managed computers and pictures

- Rail: Add icon with stacked form modals (bot, workspace, computer),
  coordinator, recent bots with "See all bots", Workspaces section, and
  a workspace mode listing only its crew
- Workspaces: page for context, bots (per-workspace instructions and
  memory), computers (default, link, unlink), models and delete;
  conversations scoped per bot per workspace
- Sessions: conversations split into searchable, reopenable sessions
  with carry-over summaries; sessions and new-session header icons
- Computers: created and provisioned over the docker socket, home dir
  kept at DATA_DIR/computers/<id> after delete; super admins only
- Models: workspace settings win over a bot's own, then the defaults
- Pictures for bots and workspaces; bots editable from the header
- Coordinator tools: update_workspace, set_bot_workspace_instructions

Co-Authored-By: Claude Opus 5.5 <[email protected]>

src/harness/text/generate-text.ts

@@ -33,6 +33,10 @@ export type GenerateTextParams = {
      * The bot the turn is for: its own models are used where it has them.
      */
     bot_id?: number | string;
+    /**
+     * The workspace the call is in: its models win over the bot's.
+     */
+    workspace_id?: number | string | null;
 };
 
 export type GenerateTextResult = HarnessChatResult & {
@@ -54,11 +58,12 @@ export default async function generateText({
     signal = new AbortController().signal,
     media_cache = new Map(),
     bot_id,
+    workspace_id,
 }: GenerateTextParams): Promise<GenerateTextResult> {
     const { result, candidate } = await withCandidates({
         harness: "text",
         candidates:
-            candidates || (await resolveHarnessCandidates({ harness: "text", bot_id })),
+            candidates || (await resolveHarnessCandidates({ harness: "text", bot_id, workspace_id })),
         prefer_key,
         run: async (candidate) => {
             const answer = await grabHarnessAdapter({
@@ -71,6 +76,7 @@ export default async function generateText({
                     cache: media_cache,
                     signal,
                     bot_id,
+                    workspace_id,
                 }),
                 tools,
                 max_tokens,

src/harness/text/prepare-messages-for-model.ts

@@ -21,6 +21,10 @@ type Params = {
      * Reads media with this bot's models when it has its own.
      */
     bot_id?: number | string;
+    /**
+     * The workspace the call is in: its models win over the bot's.
+     */
+    workspace_id?: number | string | null;
     read_image?: typeof readImage;
     transcribe?: typeof transcribeAudio;
 };
@@ -37,6 +41,7 @@ export default async function prepareMessagesForModel({
     cache,
     signal,
     bot_id,
+    workspace_id,
     read_image = readImage,
     transcribe = transcribeAudio,
 }: Params): Promise<HarnessMessage[]> {
@@ -56,7 +61,7 @@ export default async function prepareMessagesForModel({
                     label: `Image${part.name ? ` "${part.name}"` : ""}`,
                     cache,
                     signal,
-                    read: () => read_image({ url: part.url, signal, bot_id }),
+                    read: () => read_image({ url: part.url, signal, bot_id, workspace_id }),
                 }),
             };
         }
@@ -78,6 +83,7 @@ export default async function prepareMessagesForModel({
                             },
                             signal,
                             bot_id,
+                            workspace_id,
                         }),
                 }),
             };

src/harness/text/run-text-loop.ts

@@ -41,6 +41,10 @@ type Params = {
      * The bot the run is for: its own models are used where it has them.
      */
     bot_id?: number | string;
+    /**
+     * The workspace the call is in: its models win over the bot's.
+     */
+    workspace_id?: number | string | null;
     generate?: typeof generateText;
     resolveCandidates?: () => Promise<HarnessCandidate[]>;
 };
@@ -75,8 +79,9 @@ export default async function runTextLoop({
     signal = new AbortController().signal,
     onStep,
     bot_id,
+    workspace_id,
     generate = generateText,
-    resolveCandidates = () => resolveHarnessCandidates({ harness: "text", bot_id }),
+    resolveCandidates = () => resolveHarnessCandidates({ harness: "text", bot_id, workspace_id }),
 }: Params): Promise<TextLoopResult> {
     const candidates = await resolveCandidates();
     const definitions = tools.map((tool) => toolDefinition({ tool }));
@@ -120,6 +125,7 @@ export default async function runTextLoop({
             signal,
             media_cache,
             bot_id,
+            workspace_id,
         });
 
         prefer_key = answer.candidate.key;