diff --git a/packages/ai/src/models.generated.ts b/packages/ai/src/models.generated.ts
index 62584252..048c43ac 100644
--- a/packages/ai/src/models.generated.ts
+++ b/packages/ai/src/models.generated.ts
@@ -6359,6 +6359,23 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 16384,
 		} satisfies Model<"openai-completions">,
+		"meta-llama/llama-3.1-70b-instruct": {
+			id: "meta-llama/llama-3.1-70b-instruct",
+			name: "Meta: Llama 3.1 70B Instruct",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text"],
+			cost: {
+				input: 0.39999999999999997,
+				output: 0.39999999999999997,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 131072,
+			maxTokens: 4096,
+		} satisfies Model<"openai-completions">,
 		"meta-llama/llama-3.1-8b-instruct": {
 			id: "meta-llama/llama-3.1-8b-instruct",
 			name: "Meta: Llama 3.1 8B Instruct",
@@ -6393,23 +6410,6 @@ export const MODELS = {
 			contextWindow: 10000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"meta-llama/llama-3.1-70b-instruct": {
-			id: "meta-llama/llama-3.1-70b-instruct",
-			name: "Meta: Llama 3.1 70B Instruct",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text"],
-			cost: {
-				input: 0.39999999999999997,
-				output: 0.39999999999999997,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 131072,
-			maxTokens: 4096,
-		} satisfies Model<"openai-completions">,
 		"mistralai/mistral-nemo": {
 			id: "mistralai/mistral-nemo",
 			name: "Mistral: Mistral Nemo",
@@ -6546,23 +6546,6 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-4o-2024-05-13": {
-			id: "openai/gpt-4o-2024-05-13",
-			name: "OpenAI: GPT-4o (2024-05-13)",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text", "image"],
-			cost: {
-				input: 5,
-				output: 15,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 128000,
-			maxTokens: 4096,
-		} satisfies Model<"openai-completions">,
 		"openai/gpt-4o": {
 			id: "openai/gpt-4o",
 			name: "OpenAI: GPT-4o",
@@ -6597,6 +6580,23 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 64000,
 		} satisfies Model<"openai-completions">,
+		"openai/gpt-4o-2024-05-13": {
+			id: "openai/gpt-4o-2024-05-13",
+			name: "OpenAI: GPT-4o (2024-05-13)",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text", "image"],
+			cost: {
+				input: 5,
+				output: 15,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 128000,
+			maxTokens: 4096,
+		} satisfies Model<"openai-completions">,
 		"meta-llama/llama-3-70b-instruct": {
 			id: "meta-llama/llama-3-70b-instruct",
 			name: "Meta: Llama 3 70B Instruct",
@@ -6716,23 +6716,6 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-3.5-turbo-0613": {
-			id: "openai/gpt-3.5-turbo-0613",
-			name: "OpenAI: GPT-3.5 Turbo (older v0613)",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text"],
-			cost: {
-				input: 1,
-				output: 2,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 4095,
-			maxTokens: 4096,
-		} satisfies Model<"openai-completions">,
 		"openai/gpt-4-turbo-preview": {
 			id: "openai/gpt-4-turbo-preview",
 			name: "OpenAI: GPT-4 Turbo Preview",
@@ -6750,6 +6733,23 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
+		"openai/gpt-3.5-turbo-0613": {
+			id: "openai/gpt-3.5-turbo-0613",
+			name: "OpenAI: GPT-3.5 Turbo (older v0613)",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text"],
+			cost: {
+				input: 1,
+				output: 2,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 4095,
+			maxTokens: 4096,
+		} satisfies Model<"openai-completions">,
 		"mistralai/mistral-tiny": {
 			id: "mistralai/mistral-tiny",
 			name: "Mistral Tiny",
diff --git a/packages/coding-agent/examples/hooks/README.md b/packages/coding-agent/examples/hooks/README.md
index 79e2a6a7..37701083 100644
--- a/packages/coding-agent/examples/hooks/README.md
+++ b/packages/coding-agent/examples/hooks/README.md
@@ -25,6 +25,9 @@ Prevents session changes when there are uncommitted git changes. Blocks clear/sw
 ### auto-commit-on-exit.ts
 Automatically commits changes when the agent exits (shutdown event). Uses the last assistant message to generate a commit message.
 
+### full-compaction.ts
+Custom context compaction that summarizes the entire conversation instead of keeping recent turns. Uses the `before_compact` hook event to intercept compaction and generate a comprehensive summary using `complete()` from the AI package. Useful when you want maximum context window space at the cost of losing exact conversation history.
+
 ## Usage
 
 ```bash
diff --git a/packages/coding-agent/examples/hooks/full-compaction.ts b/packages/coding-agent/examples/hooks/full-compaction.ts
new file mode 100644
index 00000000..52e2f970
--- /dev/null
+++ b/packages/coding-agent/examples/hooks/full-compaction.ts
@@ -0,0 +1,89 @@
+/**
+ * Full Context Compaction Hook
+ *
+ * Replaces the default compaction behavior with a full summary of the entire context.
+ * Instead of keeping the last 20k tokens of conversation turns, this hook:
+ * 1. Summarizes ALL messages being compacted into a single comprehensive summary
+ * 2. Discards all old turns completely
+ *
+ * This is useful when you want maximum context window space for new work
+ * at the cost of losing exact conversation history.
+ *
+ * Usage:
+ *   pi --hook examples/hooks/full-compaction.ts
+ */
+
+import { complete } from "@mariozechner/pi-ai";
+import { messageTransformer } from "@mariozechner/pi-coding-agent";
+import type { HookAPI } from "@mariozechner/pi-coding-agent/hooks";
+
+export default function (pi: HookAPI) {
+	pi.on("session", async (event, ctx) => {
+		if (event.reason !== "before_compact") return;
+
+		const { messagesToSummarize, tokensBefore, model, apiKey, cutPoint } = event;
+
+		ctx.ui.notify(`Compacting ${tokensBefore.toLocaleString()} tokens with full summary...`, "info");
+
+		// Transform app messages to LLM-compatible format
+		const transformedMessages = messageTransformer(messagesToSummarize);
+
+		// Build messages that ask for a comprehensive summary
+		const summaryMessages = [
+			...transformedMessages,
+			{
+				role: "user" as const,
+				content: [
+					{
+						type: "text" as const,
+						text: `You are a conversation summarizer. Create a comprehensive summary of this conversation that captures:
+
+1. The main goals and objectives discussed
+2. Key decisions made and their rationale
+3. Important code changes, file modifications, or technical details
+4. Current state of any ongoing work
+5. Any blockers, issues, or open questions
+6. Next steps that were planned or suggested
+
+Be thorough but concise. The summary will replace the entire conversation history, so include all information needed to continue the work effectively.
+
+Format the summary as structured markdown with clear sections.`,
+					},
+				],
+				timestamp: Date.now(),
+			},
+		];
+
+		try {
+			// Use the same model and API key that would be used for compaction
+			const response = await complete(model, { messages: summaryMessages }, { apiKey, maxTokens: 8192 });
+
+			const summary = response.content
+				.filter((c): c is { type: "text"; text: string } => c.type === "text")
+				.map((c) => c.text)
+				.join("\n");
+
+			if (!summary.trim()) {
+				ctx.ui.notify("Compaction summary was empty, using default compaction", "warning");
+				return; // Fall back to default compaction
+			}
+
+			// Return a compaction entry that discards ALL old messages
+			// firstKeptEntryIndex points to after all summarized content
+			return {
+				compactionEntry: {
+					type: "compaction" as const,
+					timestamp: new Date().toISOString(),
+					summary,
+					firstKeptEntryIndex: cutPoint.firstKeptEntryIndex,
+					tokensBefore,
+				},
+			};
+		} catch (error) {
+			const message = error instanceof Error ? error.message : String(error);
+			ctx.ui.notify(`Compaction failed: ${message}`, "error");
+			// Fall back to default compaction on error
+			return;
+		}
+	});
+}