feat(llm): route adapters by provider

packages/llm/llm-pi-ai/src/context.ts

@@ -0,0 +1,85 @@
+/**
+ * Harness request-history conversion into pi-ai's Context vocabulary.
+ *
+ * @module dsh-llm-pi-ai/context
+ */
+
+import { CallId } from '@deepseek-ai/dsh-llm'
+import type { GenerateOptions, Message } from '@deepseek-ai/dsh-llm'
+import type { Context as PiContext, Message as PiMessage, Tool as PiTool } from '@earendil-works/pi-ai'
+import { toPiAssistant } from './replay.ts'
+
+/** Join the text blocks of a harness message. */
+function flattenText(message: Message): string {
+  return message.content
+    .filter(block => block.type === 'text')
+    .map(block => block.text)
+    .join('')
+}
+
+/**
+ * Convert harness history to a pi-ai Context. Tool results need the tool
+ * NAME (pi-ai's `toolName`), which the harness doesn't carry on the result
+ * block — it is recovered from the preceding assistant tool-call with the
+ * same id.
+ * @param options - the harness request; `options.system` maps to pi-ai's single `systemPrompt` slot.
+ * @returns the pi-ai context; `tools` is omitted entirely when the request declares none.
+ */
+export function toPiContext(options: GenerateOptions): PiContext {
+  const toolNames = new Map<CallId, string>()
+  const messages: PiMessage[] = []
+
+  for (const message of options.messages) {
+    if (message.role === 'system') {
+      // pi-ai has a single systemPrompt slot; in-history system messages are
+      // folded into user messages to preserve order (rare in practice — the
+      // harness sends the system prompt via options.system).
+      messages.push({ role: 'user', content: flattenText(message), timestamp: 0 })
+      continue
+    }
+    if (message.role === 'assistant') {
+      const assistant = toPiAssistant(message)
+      for (const block of assistant.content) {
+        if (block.type === 'toolCall') toolNames.set(CallId(block.id), block.name)
+      }
+      messages.push(assistant)
+      continue
+    }
+    // user role: text + tool results (each result becomes its own message).
+    const text = flattenText(message)
+    const results = message.content.filter(block => block.type === 'tool-result')
+    if (text.length > 0 || results.length === 0) {
+      messages.push({ role: 'user', content: text, timestamp: 0 })
+    }
+    for (const result of results) {
+      messages.push({
+        role: 'toolResult',
+        toolCallId: result.toolCallId,
+        toolName: toolNames.get(result.toolCallId) ?? 'unknown',
+        content: [{
+          type: 'text',
+          text: result.content
+            .filter(block => block.type === 'text')
+            .map(block => block.text)
+            .join('') || '(no output)',
+        }],
+        isError: result.isError ?? false,
+        timestamp: 0,
+      })
+    }
+  }
+
+  const tools: PiTool[] | undefined = options.tools?.map(tool => ({
+    name: tool.name,
+    description: tool.description,
+    // ToolSchema.parameters is a JSON Schema object; pi-ai's TSchema
+    // (TypeBox) is structurally JSON Schema, so it assigns directly.
+    parameters: tool.parameters,
+  }))
+
+  return {
+    ...options.system !== undefined ? { systemPrompt: options.system } : {},
+    messages,
+    ...tools !== undefined && tools.length > 0 ? { tools } : {},
+  }
+}