|
|
@@ -10,6 +10,7 @@ import AgentRegistry, {
|
|
|
} from '@deepseek-ai/dsh-agent'
|
|
|
import { createUserMessage,
|
|
|
createToolResultMessage,
|
|
|
+ LlmError,
|
|
|
ReasoningEffortId,
|
|
|
type LlmCallConfig,
|
|
|
type LlmModelReasoningInfo,
|
|
|
@@ -3630,6 +3631,71 @@ describe('pi-tui chat lifecycle and transcript', () => {
|
|
|
await dispose(reasoningFailed)
|
|
|
})
|
|
|
|
|
|
+ it('defers a NO_ADAPTER context resolution until the provider registers instead of surfacing an error', async () => {
|
|
|
+ // Loader activation order is service-driven: the TUI can mount before a
|
|
|
+ // configured adapter plugin activates, so the initial resolveModelInfo
|
|
|
+ // fails with NO_ADAPTER. That transient state must not print an error;
|
|
|
+ // the resolution retries on llm/adapters-updated.
|
|
|
+ const adapters = new Set<string>()
|
|
|
+ const result = await setup({
|
|
|
+ agentOptions: { provider: 'openai-codex', model: 'gpt-x' },
|
|
|
+ contextTokens: 50_000,
|
|
|
+ catalog: {
|
|
|
+ providers: [],
|
|
|
+ models: [],
|
|
|
+ resolveModelInfo: () => adapters.has('openai-codex')
|
|
|
+ ? Promise.resolve({ context: { contextWindow: 100_000 } })
|
|
|
+ : Promise.reject(new LlmError('no adapter registered for provider "openai-codex"', 'NO_ADAPTER')),
|
|
|
+ },
|
|
|
+ })
|
|
|
+ await tick()
|
|
|
+ expect(result.terminal.output).not.toContain('Could not resolve model context')
|
|
|
+
|
|
|
+ // A topology commit that still lacks the route parks the wait again.
|
|
|
+ result.ctx.emit('llm/adapters-updated')
|
|
|
+ await tick()
|
|
|
+ expect(result.terminal.output).not.toContain('% context')
|
|
|
+ expect(result.terminal.output).not.toContain('Could not resolve model context')
|
|
|
+
|
|
|
+ adapters.add('openai-codex')
|
|
|
+ result.ctx.emit('llm/adapters-updated')
|
|
|
+ await vi.waitFor(() => {
|
|
|
+ expect(result.terminal.output).toContain('% context')
|
|
|
+ })
|
|
|
+ expect(result.terminal.output).not.toContain('Could not resolve model context')
|
|
|
+
|
|
|
+ // A commit after satisfaction is a no-op for the resolved value.
|
|
|
+ result.ctx.emit('llm/adapters-updated')
|
|
|
+ await tick()
|
|
|
+ expect(result.terminal.output).not.toContain('Could not resolve model context')
|
|
|
+ await dispose(result)
|
|
|
+ })
|
|
|
+
|
|
|
+ it('drops a deferred NO_ADAPTER resolution when the target moved before the adapter registered', async () => {
|
|
|
+ const result = await setup({
|
|
|
+ agentOptions: { provider: 'openai-codex', model: 'gpt-x' },
|
|
|
+ catalog: {
|
|
|
+ providers: [{ id: 'alpha', name: 'Alpha' }],
|
|
|
+ models: [{ provider: 'alpha', id: 'a1', name: 'Alpha One' }],
|
|
|
+ resolveModelInfo: provider => provider === 'alpha'
|
|
|
+ ? Promise.resolve({ context: { contextWindow: 64_000 } })
|
|
|
+ : Promise.reject(new LlmError('no adapter registered for provider "openai-codex"', 'NO_ADAPTER')),
|
|
|
+ },
|
|
|
+ })
|
|
|
+ await tick()
|
|
|
+ // Switching the model re-resolves and clears the deferred wait, so the
|
|
|
+ // stale route's adapter arriving afterwards must be a no-op.
|
|
|
+ result.terminal.send('/model alpha/a1')
|
|
|
+ result.terminal.send('\r')
|
|
|
+ await vi.waitFor(() => {
|
|
|
+ expect(result.terminal.output).toContain('Model selected: alpha/a1')
|
|
|
+ })
|
|
|
+ result.ctx.emit('llm/adapters-updated')
|
|
|
+ await tick()
|
|
|
+ expect(result.terminal.output).not.toContain('Could not resolve model context')
|
|
|
+ await dispose(result)
|
|
|
+ })
|
|
|
+
|
|
|
it('does not render a model catalog that resolves after TUI disposal', async () => {
|
|
|
const deferred = Promise.withResolvers<never[]>()
|
|
|
const result = await setup({
|
Turtle