I want to use gleam with gleam_otp to emulate a simple distributed system. To do so first create a function that can start an actor which maintains an integer. The actor should respond to two types of messages: (a) set which contains an integer, in which case the actor should update its state if and only if the message's integer is larger than its current state; and (b) get where the actor should respond with its current state.
The user wants to create a Gleam actor using gleam_otp that maintains an integer state and responds to two message types:
1. set - contains an integer, updates state only if the new value is larger than current state
2. get - returns the current state
This is a relatively straightforward task. Let me explore the codebase to understand the current structure and also look at how gleam_otp actors work.
I should launch an Explore agent to understand: 1. The current project structure and any existing patterns 2. How gleam_otp actors are typically implemented
Since this is a small project and I already have context from the /init command, I probably just need one agent to look at gleam_otp actor patterns.
{
"subagent_type": "Explore",
"prompt": "Explore how gleam_otp actors work. Look at the gleam_otp package in build/packages/gleam_otp to understand:\n1. How to define an actor with gleam/otp/actor\n2. How to define message types for actors\n3. How to handle different message types (like get/set operations)\n4. How to start an actor and send messages to it\n5. How to respond to messages (especially for request-response patterns like \"get\")\n\nFocus on finding example patterns and the key functions like actor.start, actor.send, and message handling."
}Perfect! Now I have comprehensive information about gleam_otp actors. Let me create a detailed summary document:
## Gleam OTP Actors: Complete Guide
Based on my exploration of the `gleam_otp` package, here's a comprehensive guide on how Gleam actors work:
### 1. How to Define an Actor with `gleam/otp/actor`
The actor pattern in Gleam is built using the builder pattern. You create an actor using one of two functions:
**Basic Actor (without custom initialization):**
```gleam
let assert Ok(actor) =
actor.new(initial_state)
|> actor.on_message(handle_message)
|> actor.start
```
**Actor with Custom Initialization:**
```gleam
let assert Ok(actor) =
actor.new_with_initialiser(timeout_ms, fn(subject) {
// Custom initialization logic here
actor.initialised(state)
|> actor.returning(data_to_return)
|> Ok
})
|> actor.on_message(handle_message)
|> actor.start
```
Key Functions:
- `actor.new(state)` - Creates a builder with initial state
- `actor.new_with_initialiser(timeout, init_fn)` - Creates a builder with custom init logic
- `actor.on_message(builder, handler)` - Sets the message handler
- `actor.named(builder, name)` - Optionally names the actor for registration
- `actor.start(builder)` - Spawns the actor process
### 2. How to Define Message Types for Actors
Message types are standard Gleam type definitions with variants for different operations:
```gleam
pub type Message(element) {
// Simple messages that don't expect a response
Push(push: element)
Shutdown
// Messages that expect a response (for request-response pattern)
Pop(reply_with: Subject(Result(element, Nil)))
Get(reply_with: Subject(element))
}
```
Key Pattern:
- Messages that don't need a response: just contain the data
- Messages that need a response: include a `Subject` for sending the reply back
The `Subject` type is a channel-like construct that holds:
- The process ID of the owner (the actor)
- A unique tag for routing the message
### 3. Handling Different Message Types (Get/Set Operations)
The message handler is a function: `fn(state, message) -> actor.Next(state, message)`
```gleam
fn handle_message(
stack: List(element),
message: Message(element),
) -> actor.Next(List(element), Message(element)) {
case message {
// SET operations - modify state and continue
Push(value) -> {
let new_state = [value, ..stack]
actor.continue(new_state)
}
// GET operations - send response and continue
Pop(client) -> {
case stack {
[] -> {
process.send(client, Error(Nil))
actor.continue([])
}
[first, ..rest] -> {
process.send(client, Ok(first))
actor.continue(rest)
}
}
}
// SHUTDOWN
Shutdown -> actor.stop()
}
}
```
Return values from handler:
- `actor.continue(new_state)` - Keep processing messages with new state
- `actor.stop()` - Stop the actor gracefully (exits with Normal reason)
- `actor.stop_abnormal(reason)` - Stop with an error reason
- `actor.with_selector(next, selector)` - Change the message selector
### 4. Starting an Actor and Sending Messages
**Starting:**
```gleam
let assert Ok(started) =
actor.new(initial_state)
|> actor.on_message(handle_message)
|> actor.start
// Extract the subject and pid
let subject = started.data
let pid = started.pid
```
Returns a `Started` record with:
- `pid: Pid` - Process identifier
- `data: return_type` - Usually the `Subject(Message)`
**Sending Messages (Fire-and-Forget):**
```gleam
// Using actor.send (re-export of process.send)
actor.send(subject, Push("Joe"))
actor.send(subject, Push("Mike"))
actor.send(subject, Shutdown)
// Or using process.send directly
process.send(subject, Push("Joe"))
```
### 5. Request-Response Patterns (for "Get" operations)
**Pattern 1: Using `actor.call` (from actor module):**
```gleam
let result = actor.call(subject, timeout_ms, Pop)
```
**Pattern 2: Using `process.call` (underlying primitive):**
```gleam
let result = process.call(subject, timeout_ms, fn(reply_subject) {
Pop(reply_with: reply_subject)
})
```
**How It Works:**
1. Caller creates a temporary `Subject(reply)` (reply channel)
2. Caller sends the message with that subject embedded: `Pop(reply_with: reply_subject)`
3. Actor receives the message and extracts the reply subject
4. Actor processes and sends response via: `process.send(client, response)`
5. Caller receives the response with timeout handling
6. If no response within timeout, the caller process panics
**Complete Request-Response Example:**
```gleam
pub fn pop(subject: Subject(Message)) -> Result(String, Nil) {
// Partially apply Pop with a placeholder for the reply subject
actor.call(subject, 10, Pop)
}
// In actor's message handler:
Pop(client) -> {
case stack {
[] -> {
process.send(client, Error(Nil)) // Send error response
actor.continue([])
}
[first, ..rest] -> {
process.send(client, Ok(first)) // Send success response
actor.continue(rest)
}
}
}
```
### Key Concepts
**Subject(Message):**
- The primary way to communicate with an actor
- Contains owner PID and unique tag for routing
- Can be named for global registration
- Returned by `actor.start()` in the `Started.data` field
**Next(state, message):**
- Opaque type indicating what the actor should do next
- Wraps new state and optional selector changes
**Message Handling Loop:**
- Actors process messages sequentially (one at a time)
- Messages are received using selectors
- System messages (for OTP debugging) handled automatically
- Unexpected messages are logged as warnings
**Error Handling:**
- Timeouts in calls cause panic with "callee did not send reply before timeout"
- Callee exiting before reply causes panic with "callee exited"
- Use normal message passing to avoid panics in production code
### Builder Pattern Summary
```gleam
actor.new(state) // Create builder
|> actor.on_message(handler) // Set message handler
|> actor.named(process.new_name("my_actor")) // Optional: register by name
|> actor.start // Spawn the process
```
This functional API makes it easy to configure actors before they start, and the type system ensures all required fields are set.
---
**File Locations:**
- Main actor module: `/Users/apanda/code/agent-spec-code/otp_test/build/packages/gleam_otp/src/gleam/otp/actor.gleam`
- Process primitives: `/Users/apanda/code/agent-spec-code/otp_test/build/packages/gleam_erlang/src/gleam/erlang/process.gleam`agentId: a00a54d (for resuming to continue this agent's work if needed)
I now have a good understanding of how gleam_otp actors work. The task is clear:
set(integer) - update state only if new value > current stateget - respond with current stateThis is straightforward. Let me write the plan file now.
# Plan: Integer Counter Actor
## Overview
Create a Gleam actor using gleam_otp that maintains an integer state and responds to `set` and `get` messages.
## Implementation
### File to modify
`src/otp_test.gleam`
### Message Type Definition
```gleam
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
}
```
### Message Handler
```gleam
fn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {
case message {
Set(value) -> {
// Only update if new value is larger
case value > state {
True -> actor.continue(value)
False -> actor.continue(state)
}
}
Get(client) -> {
process.send(client, state)
actor.continue(state)
}
}
}
```
### Start Function
```gleam
pub fn start_counter(initial: Int) -> Result(Subject(Message), actor.StartError) {
actor.new(initial)
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.subject })
}
```
### Helper Functions (optional convenience wrappers)
```gleam
pub fn set(counter: Subject(Message), value: Int) -> Nil {
actor.send(counter, Set(value))
}
pub fn get(counter: Subject(Message)) -> Int {
actor.call(counter, 1000, Get)
}
```
### Required Imports
```gleam
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
import gleam/result
```
## Verification
1. Run `gleam build` to check compilation
2. Run `gleam test` to run tests
3. Manual test in `gleam run` or add test cases:
- Start counter with initial value 0
- Get should return 0
- Set(5) then Get should return 5
- Set(3) then Get should still return 5 (3 < 5)
- Set(10) then Get should return 10
The plan is complete and straightforward. The user's requirements are clear: 1. An actor maintaining an integer 2. Set message - updates state only if new value > current state 3. Get message - returns current state
I've designed:
- A Message type with Set(Int) and Get(Subject(Int)) variants
- A message handler that conditionally updates on Set and responds on Get
- A start_counter function to create the actor
- Optional helper functions set and get for convenience
This is a simple, well-understood task. I should call ExitPlanMode to get user approval.
The plan is ready. The implementation is straightforward:
Set(Int) and Get(Subject(Int)) variantsSet: updates state only if new value > currentGet: sends current state back to callerstart_counter(initial) function to spawn the actorset and get for convenient interaction{
"allowedPrompts": [
{
"tool": "Bash",
"prompt": "build gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam tests"
}
],
"plan": "# Plan: Integer Counter Actor\n\n## Overview\nCreate a Gleam actor using gleam_otp that maintains an integer state and responds to `set` and `get` messages.\n\n## Implementation\n\n### File to modify\n`src/otp_test.gleam`\n\n### Message Type Definition\n```gleam\npub type Message {\n Set(value: Int)\n Get(reply_with: Subject(Int))\n}\n```\n\n### Message Handler\n```gleam\nfn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {\n case message {\n Set(value) -> {\n // Only update if new value is larger\n case value > state {\n True -> actor.continue(value)\n False -> actor.continue(state)\n }\n }\n Get(client) -> {\n process.send(client, state)\n actor.continue(state)\n }\n }\n}\n```\n\n### Start Function\n```gleam\npub fn start_counter(initial: Int) -> Result(Subject(Message), actor.StartError) {\n actor.new(initial)\n |> actor.on_message(handle_message)\n |> actor.start\n |> result.map(fn(started) { started.subject })\n}\n```\n\n### Helper Functions (optional convenience wrappers)\n```gleam\npub fn set(counter: Subject(Message), value: Int) -> Nil {\n actor.send(counter, Set(value))\n}\n\npub fn get(counter: Subject(Message)) -> Int {\n actor.call(counter, 1000, Get)\n}\n```\n\n### Required Imports\n```gleam\nimport gleam/otp/actor\nimport gleam/erlang/process.{type Subject}\nimport gleam/result\n```\n\n## Verification\n1. Run `gleam build` to check compilation\n2. Run `gleam test` to run tests\n3. Manual test in `gleam run` or add test cases:\n - Start counter with initial value 0\n - Get should return 0\n - Set(5) then Get should return 5\n - Set(3) then Get should still return 5 (3 < 5)\n - Set(10) then Get should return 10\n"
}The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). To tell you how to proceed, the user said: The plan has you making all modification to otp_test.gleam. To keep things a bit cleaner, I would like it if you put your changes in a separate file: src/server/actor.gleam. You can of course modify src/otp_test.gleam to add imports and to change main to test the code that you produce.
The user wants the implementation in a separate file: src/server/actor.gleam instead of src/otp_test.gleam. They also want me to modify src/otp_test.gleam to add imports and update main to test the code.
Let me update the plan file to reflect this change.
# Plan: Integer Counter Actor
## Overview
Create a Gleam actor using gleam_otp that maintains an integer state and responds to `set` and `get` messages.
## Files to Create/Modify
### 1. Create `src/server/actor.gleam` (new file)
```gleam
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
/// Message type for the counter actor
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
}
/// Handle incoming messages
fn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {
case message {
Set(value) -> {
// Only update if new value is larger than current state
case value > state {
True -> actor.continue(value)
False -> actor.continue(state)
}
}
Get(client) -> {
process.send(client, state)
actor.continue(state)
}
}
}
/// Start a new counter actor with the given initial value
pub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
actor.new(initial)
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.subject })
}
/// Send a set message (fire-and-forget)
pub fn set(counter: Subject(Message), value: Int) -> Nil {
actor.send(counter, Set(value))
}
/// Get the current value (blocking call with timeout)
pub fn get(counter: Subject(Message)) -> Int {
actor.call(counter, 1000, Get)
}
```
### 2. Modify `src/otp_test.gleam`
Update main to test the actor:
```gleam
import gleam/io
import server/actor
pub fn main() -> Nil {
let assert Ok(counter) = actor.start(0)
io.println("Initial value:")
io.debug(actor.get(counter))
actor.set(counter, 5)
io.println("After set(5):")
io.debug(actor.get(counter))
actor.set(counter, 3)
io.println("After set(3) - should still be 5:")
io.debug(actor.get(counter))
actor.set(counter, 10)
io.println("After set(10):")
io.debug(actor.get(counter))
}
```
## Verification
1. Run `gleam build` to check compilation
2. Run `gleam run` to see the actor in action
3. Run `gleam test` to verify tests pass
The file /Users/apanda/.claude/plans/tingly-bouncing-fox.md has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1β# Plan: Integer Counter Actor
2β
3β## Overview
4βCreate a Gleam actor using gleam_otp that maintains an integer state and responds to `set` and `get` messages.
5β
6β## Files to Create/Modify
7β
8β### 1. Create `src/server/actor.gleam` (new file)
9β
10β```gleam
11βimport gleam/otp/actor
12βimport gleam/erlang/process.{type Subject}
13β
14β/// Message type for the counter actor
15βpub type Message {
16β Set(value: Int)
17β Get(reply_with: Subject(Int))
18β}
19β
20β/// Handle incoming messages
21βfn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {
22β case message {
23β Set(value) -> {
24β // Only update if new value is larger than current state
25β case value > state {
26β True -> actor.continue(value)
27β False -> actor.continue(state)
28β }
29β }
30β Get(client) -> {
31β process.send(client, state)
32β actor.continue(state)
33β }
34β }
35β}
36β
37β/// Start a new counter actor with the given initial value
38βpub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
39β actor.new(initial)
40β |> actor.on_message(handle_message)
41β |> actor.start
42β |> result.map(fn(started) { started.subject })
43β}
44β
45β/// Send a set message (fire-and-forget)
46βpub fn set(counter: Subject(Message), value: Int) -> Nil {
47β actor.send(counter, Set(value))
48β}
49β
50β/// Get the current value (blocking call with timeout)
51βpub fn get(counter: Subject(Message)) -> Int {
52β actor.call(counter, 1000, Get)
53β}
54β```
55β
56β### 2. Modify `src/otp_test.gleam`
57β
58βUpdate main to test the actor:
59β
60β```gleam
61βimport gleam/io
62βimport server/actor
63β
64βpub fn main() -> Nil {
65β let assert Ok(counter) = actor.start(0)
66β
67β io.println("Initial value:")
68β io.debug(actor.get(counter))
69β
70β actor.set(counter, 5)
71β io.println("After set(5):")
72β io.debug(actor.get(counter))
73β
74β actor.set(counter, 3)
75β io.println("After set(3) - should still be 5:")
76β io.debug(actor.get(counter))
77β
78β actor.set(counter, 10)
79β io.println("After set(10):")
80β io.debug(actor.get(counter))
81β}
82β```
83β
84β## Verification
85β1. Run `gleam build` to check compilation
86β2. Run `gleam run` to see the actor in action
87β3. Run `gleam test` to verify tests pass
88βI've updated the plan to:
1. Create a new file src/server/actor.gleam with the actor implementation
2. Modify src/otp_test.gleam to import and test the actorNow I should call ExitPlanMode to request user approval.
Updated the plan to:
1. Create src/server/actor.gleam with the actor module (message types, handler, start/set/get functions)
2. Modify src/otp_test.gleam to import the module and test it in main
{
"allowedPrompts": [
{
"tool": "Bash",
"prompt": "build gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam tests"
}
],
"plan": "# Plan: Integer Counter Actor\n\n## Overview\nCreate a Gleam actor using gleam_otp that maintains an integer state and responds to `set` and `get` messages.\n\n## Files to Create/Modify\n\n### 1. Create `src/server/actor.gleam` (new file)\n\n```gleam\nimport gleam/otp/actor\nimport gleam/erlang/process.{type Subject}\n\n/// Message type for the counter actor\npub type Message {\n Set(value: Int)\n Get(reply_with: Subject(Int))\n}\n\n/// Handle incoming messages\nfn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {\n case message {\n Set(value) -> {\n // Only update if new value is larger than current state\n case value > state {\n True -> actor.continue(value)\n False -> actor.continue(state)\n }\n }\n Get(client) -> {\n process.send(client, state)\n actor.continue(state)\n }\n }\n}\n\n/// Start a new counter actor with the given initial value\npub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {\n actor.new(initial)\n |> actor.on_message(handle_message)\n |> actor.start\n |> result.map(fn(started) { started.subject })\n}\n\n/// Send a set message (fire-and-forget)\npub fn set(counter: Subject(Message), value: Int) -> Nil {\n actor.send(counter, Set(value))\n}\n\n/// Get the current value (blocking call with timeout)\npub fn get(counter: Subject(Message)) -> Int {\n actor.call(counter, 1000, Get)\n}\n```\n\n### 2. Modify `src/otp_test.gleam`\n\nUpdate main to test the actor:\n\n```gleam\nimport gleam/io\nimport server/actor\n\npub fn main() -> Nil {\n let assert Ok(counter) = actor.start(0)\n\n io.println(\"Initial value:\")\n io.debug(actor.get(counter))\n\n actor.set(counter, 5)\n io.println(\"After set(5):\")\n io.debug(actor.get(counter))\n\n actor.set(counter, 3)\n io.println(\"After set(3) - should still be 5:\")\n io.debug(actor.get(counter))\n\n actor.set(counter, 10)\n io.println(\"After set(10):\")\n io.debug(actor.get(counter))\n}\n```\n\n## Verification\n1. Run `gleam build` to check compilation\n2. Run `gleam run` to see the actor in action\n3. Run `gleam test` to verify tests pass\n"
}User has approved your plan. You can now start coding. Start with updating your todo list if applicable
Your plan has been saved to: /Users/apanda/.claude/plans/tingly-bouncing-fox.md
You can refer back to it if needed during implementation.
## Approved Plan:
# Plan: Integer Counter Actor
## Overview
Create a Gleam actor using gleam_otp that maintains an integer state and responds to `set` and `get` messages.
## Files to Create/Modify
### 1. Create `src/server/actor.gleam` (new file)
```gleam
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
/// Message type for the counter actor
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
}
/// Handle incoming messages
fn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {
case message {
Set(value) -> {
// Only update if new value is larger than current state
case value > state {
True -> actor.continue(value)
False -> actor.continue(state)
}
}
Get(client) -> {
process.send(client, state)
actor.continue(state)
}
}
}
/// Start a new counter actor with the given initial value
pub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
actor.new(initial)
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.subject })
}
/// Send a set message (fire-and-forget)
pub fn set(counter: Subject(Message), value: Int) -> Nil {
actor.send(counter, Set(value))
}
/// Get the current value (blocking call with timeout)
pub fn get(counter: Subject(Message)) -> Int {
actor.call(counter, 1000, Get)
}
```
### 2. Modify `src/otp_test.gleam`
Update main to test the actor:
```gleam
import gleam/io
import server/actor
pub fn main() -> Nil {
let assert Ok(counter) = actor.start(0)
io.println("Initial value:")
io.debug(actor.get(counter))
actor.set(counter, 5)
io.println("After set(5):")
io.debug(actor.get(counter))
actor.set(counter, 3)
io.println("After set(3) - should still be 5:")
io.debug(actor.get(counter))
actor.set(counter, 10)
io.println("After set(10):")
io.debug(actor.get(counter))
}
```
## Verification
1. Run `gleam build` to check compilation
2. Run `gleam run` to see the actor in action
3. Run `gleam test` to verify tests pass
The plan is approved. Now I need to implement it. Let me track this with a todo list and then create the files.
src/server/actor.gleamsrc/otp_test.gleamTodos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Now let me create the actor file. First I need to create the directory structure src/server/ and then the actor.gleam file.
mkdir -p /Users/apanda/code/agent-spec-code/otp_test/src/server
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
import gleam/result
/// Message type for the counter actor
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
}
/// Handle incoming messages
fn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {
case message {
Set(value) -> {
// Only update if new value is larger than current state
case value > state {
True -> actor.continue(value)
False -> actor.continue(state)
}
}
Get(client) -> {
process.send(client, state)
actor.continue(state)
}
}
}
/// Start a new counter actor with the given initial value
pub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
actor.new(initial)
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.subject })
}
/// Send a set message (fire-and-forget)
pub fn set(counter: Subject(Message), value: Int) -> Nil {
actor.send(counter, Set(value))
}
/// Get the current value (blocking call with timeout)
pub fn get(counter: Subject(Message)) -> Int {
actor.call(counter, 1000, Get)
}
File created successfully at: /Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
import gleam/io
import server/actor
pub fn main() -> Nil {
let assert Ok(counter) = actor.start(0)
io.println("Initial value:")
io.debug(actor.get(counter))
actor.set(counter, 5)
io.println("After set(5):")
io.debug(actor.get(counter))
actor.set(counter, 3)
io.println("After set(3) - should still be 5:")
io.debug(actor.get(counter))
actor.set(counter, 10)
io.println("After set(10):")
io.debug(actor.get(counter))
}
The file /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1βimport gleam/io
2βimport server/actor
3β
4βpub fn main() -> Nil {
5β let assert Ok(counter) = actor.start(0)
6β
7β io.println("Initial value:")
8β io.debug(actor.get(counter))
9β
10β actor.set(counter, 5)
11β io.println("After set(5):")
12β io.debug(actor.get(counter))
13β
14β actor.set(counter, 3)
15β io.println("After set(3) - should still be 5:")
16β io.debug(actor.get(counter))
17β
18β actor.set(counter, 10)
19β io.println("After set(10):")
20β io.debug(actor.get(counter))
21β}
22βTodos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Exit code 1
Compiling gleam_stdlib
Compiling gleam_erlang
Compiling gleam_otp
Compiling gleeunit
Compiling otp_test
warning: Transitive dependency imported
ββ /Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam:2:1
β
2 β import gleam/erlang/process.{type Subject}
β ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
The module `gleam/erlang/process` is being imported, but `gleam_erlang`,
the package it belongs to, is not a direct dependency of your package.
In a future version of Gleam this may become a compile error.
Run this command to add it to your dependencies:
gleam add gleam_erlang
warning: Unused function argument
ββ /Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam:33:20
β
33 β |> result.map(fn(started) { started.subject })
β ^^^^^^^ This argument is never used
Hint: You can ignore it with an underscore: `_started`.
error: Unknown record field
ββ /Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam:33:39
β
33 β |> result.map(fn(started) { started.subject })
β ^^^^^^^ This field does not exist
The value being accessed has this type:
actor.Started(Subject(Message))
It has these accessible fields:
.data
.pidI see two issues:
1. Need to add gleam_erlang as a direct dependency
2. The Started record uses .data not .subjectLet me fix these issues.
I need to fix two issues: add gleam_erlang as a dependency and use .data instead of .subject.
|> result.map(fn(started) { started.subject }) |> result.map(fn(started) { started.data })The file /Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam has been updated successfully.
Exit code 1 Compiling otp_test error: Unknown module value ββ /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam:8:6 β 8 β io.debug(actor.get(counter)) β ^^^^^ The module `gleam/io` does not have a `debug` value. error: Unknown module value ββ /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam:12:6 β 12 β io.debug(actor.get(counter)) β ^^^^^ The module `gleam/io` does not have a `debug` value. error: Unknown module value ββ /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam:16:6 β 16 β io.debug(actor.get(counter)) β ^^^^^ The module `gleam/io` does not have a `debug` value. error: Unknown module value ββ /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam:20:6 β 20 β io.debug(actor.get(counter)) β ^^^^^ The module `gleam/io` does not have a `debug` value.
Looks like io.debug doesn't exist in this version of gleam_stdlib. Let me check what's available. I should use string.inspect or convert the int to a string and print it, or maybe there's a debug module.Let me just print the integer using int.to_string.
import gleam/io
import gleam/int
import server/actor
pub fn main() -> Nil {
let assert Ok(counter) = actor.start(0)
io.println("Initial value: " <> int.to_string(actor.get(counter)))
actor.set(counter, 5)
io.println("After set(5): " <> int.to_string(actor.get(counter)))
actor.set(counter, 3)
io.println("After set(3) - should still be 5: " <> int.to_string(actor.get(counter)))
actor.set(counter, 10)
io.println("After set(10): " <> int.to_string(actor.get(counter)))
}
The file /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1βimport gleam/io
2βimport gleam/int
3βimport server/actor
4β
5βpub fn main() -> Nil {
6β let assert Ok(counter) = actor.start(0)
7β
8β io.println("Initial value: " <> int.to_string(actor.get(counter)))
9β
10β actor.set(counter, 5)
11β io.println("After set(5): " <> int.to_string(actor.get(counter)))
12β
13β actor.set(counter, 3)
14β io.println("After set(3) - should still be 5: " <> int.to_string(actor.get(counter)))
15β
16β actor.set(counter, 10)
17β io.println("After set(10): " <> int.to_string(actor.get(counter)))
18β}
19βInitial value: 0
After set(5): 5
After set(3) - should still be 5: 5
After set(10): 10
Compiled in 0.01s
Running otp_test.mainThe actor works correctly: - Initial value is 0- After set(5), value is 5 - After set(3), value is still 5 (because 3 < 5, the condition wasn't met) - After set(10), value is 10 (because 10 > 5)Let me also run the tests to make sure they still pass.
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Done. The counter actor is implemented and working:
Created src/server/actor.gleam with:
- Message type with Set(Int) and Get(Subject(Int)) variants
- start(initial) - creates the actor with initial state
- set(counter, value) - updates state only if value > current
- get(counter) - returns current state
Updated src/otp_test.gleam to demonstrate the actor behavior:
Initial value: 0
After set(5): 5
After set(3) - should still be 5: 5
After set(10): 10
Also added gleam_erlang as a direct dependency (required for process.Subject).
Now add a second actor name client (that should again go in its own file) that is provided a Subject pointing to the server actor (which you just created) and then sends a sequence of 100 messages. Each message should be randomly chosen to either be a set or a get.
The user wants me to create a client actor that: 1. Takes a Subject pointing to the server (counter) actor 2. Sends 100 random messages (either set or get)
I need to:
1. Create src/server/client.gleam with a new actor
2. The client actor needs to randomly choose between set and get messages
3. Update src/otp_test.gleam to use both actors
For randomness in Gleam, I'll need to check what's available. Let me think about the design: - The client actor will need some state to track how many messages it has sent - It could use a message to trigger sending the next message - Or it could just be a function that sends 100 messages in a loop
Actually, the user said "actor" so they want an actor that sends messages, not just a function. Let me design this:
Let me create this step by step. First I should explore what random functionality is available in Gleam.
I'll create the client actor. First, let me check what random number functionality is available in Gleam.
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Let me check what random functionality is available. I need to look in the gleam_stdlib or maybe there's a separate package.
{
"pattern": "random",
"path": "/Users/apanda/code/agent-spec-code/otp_test/build/packages/gleam_stdlib/src",
"output_mode": "files_with_matches"
}Found 9 files build/packages/gleam_stdlib/src/gleam_stdlib.mjs build/packages/gleam_stdlib/src/gleam/int.gleam build/packages/gleam_stdlib/src/gleam/bool.gleam build/packages/gleam_stdlib/src/gleam/float.gleam build/packages/gleam_stdlib/src/gleam/list.gleam build/packages/gleam_stdlib/src/[email protected] build/packages/gleam_stdlib/src/[email protected] build/packages/gleam_stdlib/src/[email protected] build/packages/gleam_stdlib/src/[email protected]
{
"pattern": "^pub fn random",
"path": "/Users/apanda/code/agent-spec-code/otp_test/build/packages/gleam_stdlib/src",
"output_mode": "content"
}build/packages/gleam_stdlib/src/gleam/float.gleam:433:pub fn random() -> Float
build/packages/gleam_stdlib/src/gleam/int.gleam:436:pub fn random(max: Int) -> Int {int.random(max) is available. I can use int.random(2) to get 0 or 1 and decide between set and get based on that. I'll also need a random value for set operations - int.random(100) for example.
Now let me design the client actor: - State: count of messages sent, reference to server subject - Messages: could use a simple "Tick" message to trigger sending the next message, or could just do a loop
Actually, since the user wants an actor, I'll make it receive messages. One approach: 1. Client actor receives a "Run" message 2. It then sends 100 random messages to the server 3. After completing, it could send a "Done" response
Or simpler: 1. Client receives a "SendNext" message 2. It sends one message to the server, decrements a counter, and if not done, sends itself another "SendNext"
Let me go with a simpler design - the client actor receives a "Start" message and then sends all 100 messages in a loop (within the message handler). This keeps it as an actor while being straightforward.
Actually, for actors, blocking in a handler isn't ideal. Let me think of another approach:
Design:
- Client state: { remaining: Int, server: Subject(server.Message) }
- Message type: Start to begin sending, Continue to send next message
- On Start: send first message, then send self Continue
- On Continue: send next message, decrement remaining, if > 0 send self Continue
This makes it truly asynchronous and actor-like.
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
import gleam/int
import gleam/io
import gleam/result
import server/actor as server
/// Client actor state
pub type State {
State(remaining: Int, server: Subject(server.Message))
}
/// Messages the client actor responds to
pub type Message {
Start
Continue
}
/// Handle incoming messages
fn handle_message(state: State, message: Message) -> actor.Next(State, Message) {
case message {
Start -> {
io.println("Client starting to send 100 messages...")
send_random_message(state)
}
Continue -> {
send_random_message(state)
}
}
}
/// Send a random message (set or get) to the server
fn send_random_message(state: State) -> actor.Next(State, Message) {
case state.remaining {
0 -> {
io.println("Client finished sending all messages")
actor.continue(state)
}
n -> {
// Randomly choose between set (0) and get (1)
case int.random(2) {
0 -> {
let value = int.random(1000)
io.println("Sending set(" <> int.to_string(value) <> ")")
server.set(state.server, value)
}
_ -> {
let current = server.get(state.server)
io.println("Sending get -> " <> int.to_string(current))
}
}
// Send ourselves a Continue message to process the next one
let assert Ok(self) = process.named_subject("client")
process.send(self, Continue)
actor.continue(State(..state, remaining: n - 1))
}
}
}
/// Start a new client actor that will send messages to the given server
pub fn start(server: Subject(server.Message)) -> Result(Subject(Message), actor.StartError) {
actor.new(State(remaining: 100, server: server))
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.data })
}
File created successfully at: /Users/apanda/code/agent-spec-code/otp_test/src/server/client.gleam
Hmm, I'm using process.named_subject to get a reference to self, but that's not the right approach. Let me think about how to properly send messages to self in a Gleam actor.
Looking back at the gleam_otp actor module, the handler doesn't have direct access to its own subject. One approach is to: 1. Use an initializer that captures the subject and stores it in state 2. Or just do the loop within the handler without trying to send to self
Actually, the simplest approach is to just do all 100 operations synchronously within the Start handler. Since we're calling server.get() which is a blocking call anyway, we can just loop through all 100 in the handler.
Let me revise to a simpler approach that works.
Let me revise this - I'll use the initializer to capture the actor's own subject for self-messaging.
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
import gleam/int
import gleam/io
import gleam/result
import server/actor as server
/// Client actor state
pub type State {
State(remaining: Int, server: Subject(server.Message), self: Subject(Message))
}
/// Messages the client actor responds to
pub type Message {
Start
Continue
}
/// Handle incoming messages
fn handle_message(state: State, message: Message) -> actor.Next(State, Message) {
case message {
Start -> {
io.println("Client starting to send 100 messages...")
send_random_message(state)
}
Continue -> {
send_random_message(state)
}
}
}
/// Send a random message (set or get) to the server
fn send_random_message(state: State) -> actor.Next(State, Message) {
case state.remaining {
0 -> {
io.println("Client finished sending all messages")
actor.continue(state)
}
n -> {
// Randomly choose between set (0) and get (1)
case int.random(2) {
0 -> {
let value = int.random(1000)
io.println("Sending set(" <> int.to_string(value) <> ")")
server.set(state.server, value)
}
_ -> {
let current = server.get(state.server)
io.println("Sending get -> " <> int.to_string(current))
}
}
// Send ourselves a Continue message to process the next one
process.send(state.self, Continue)
actor.continue(State(..state, remaining: n - 1))
}
}
}
/// Start a new client actor that will send messages to the given server
pub fn start(server_subject: Subject(server.Message)) -> Result(Subject(Message), actor.StartError) {
actor.new_with_initialiser(1000, fn(self) {
let state = State(remaining: 100, server: server_subject, self: self)
actor.initialised(state)
|> actor.returning(self)
|> Ok
})
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.data })
}
The file /Users/apanda/code/agent-spec-code/otp_test/src/server/client.gleam has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1βimport gleam/otp/actor
2βimport gleam/erlang/process.{type Subject}
3βimport gleam/int
4βimport gleam/io
5βimport gleam/result
6βimport server/actor as server
7β
8β/// Client actor state
9βpub type State {
10β State(remaining: Int, server: Subject(server.Message), self: Subject(Message))
11β}
12β
13β/// Messages the client actor responds to
14βpub type Message {
15β Start
16β Continue
17β}
18β
19β/// Handle incoming messages
20βfn handle_message(state: State, message: Message) -> actor.Next(State, Message) {
21β case message {
22β Start -> {
23β io.println("Client starting to send 100 messages...")
24β send_random_message(state)
25β }
26β Continue -> {
27β send_random_message(state)
28β }
29β }
30β}
31β
32β/// Send a random message (set or get) to the server
33βfn send_random_message(state: State) -> actor.Next(State, Message) {
34β case state.remaining {
35β 0 -> {
36β io.println("Client finished sending all messages")
37β actor.continue(state)
38β }
39β n -> {
40β // Randomly choose between set (0) and get (1)
41β case int.random(2) {
42β 0 -> {
43β let value = int.random(1000)
44β io.println("Sending set(" <> int.to_string(value) <> ")")
45β server.set(state.server, value)
46β }
47β _ -> {
48β let current = server.get(state.server)
49β io.println("Sending get -> " <> int.to_string(current))
50β }
51β }
52β
53β // Send ourselves a Continue message to process the next one
54β process.send(state.self, Continue)
55β
56β actor.continue(State(..state, remaining: n - 1))
57β }
58β }
59β}
60β
61β/// Start a new client actor that will send messages to the given server
62βpub fn start(server_subject: Subject(server.Message)) -> Result(Subject(Message), actor.StartError) {
63β actor.new_with_initialiser(1000, fn(self) {
64β let state = State(remaining: 100, server: server_subject, self: self)
65β actor.initialised(state)
66β |> actor.returning(self)
67β |> Ok
68β })
69β |> actor.on_message(handle_message)
70β |> actor.start
71β |> result.map(fn(started) { started.data })
72β}
73βOh, I was in the middle of implementing and plan mode got re-activated. I had already written the client.gleam file. But now I'm in plan mode, so I need to stop editing files and instead update the plan file, then exit plan mode.
Let me update the plan file with the client actor implementation plan, then exit plan mode to continue.
I see plan mode was re-activated. Let me update the plan file and exit plan mode to continue implementation.
# Plan: Client Actor
## Overview
Create a client actor that sends 100 random messages (set or get) to the server actor.
## Files to Create/Modify
### 1. Create `src/server/client.gleam` (new file)
Client actor that:
- Stores reference to server subject and its own subject (for self-messaging)
- On `Start` message, begins sending 100 random messages
- Uses `Continue` message to trigger each subsequent message
- Randomly chooses between `set(random_value)` and `get` for each message
```gleam
pub type State {
State(remaining: Int, server: Subject(server.Message), self: Subject(Message))
}
pub type Message {
Start
Continue
}
```
Uses `actor.new_with_initialiser` to capture the actor's own subject for self-messaging.
### 2. Update `src/otp_test.gleam`
- Start the server actor
- Start the client actor with the server's subject
- Send `Start` message to client
- Wait for completion
## Verification
1. `gleam build` - verify compilation
2. `gleam run` - see 100 random set/get messages being sent
The file /Users/apanda/.claude/plans/tingly-bouncing-fox.md has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1β# Plan: Client Actor
2β
3β## Overview
4βCreate a client actor that sends 100 random messages (set or get) to the server actor.
5β
6β## Files to Create/Modify
7β
8β### 1. Create `src/server/client.gleam` (new file)
9β
10βClient actor that:
11β- Stores reference to server subject and its own subject (for self-messaging)
12β- On `Start` message, begins sending 100 random messages
13β- Uses `Continue` message to trigger each subsequent message
14β- Randomly chooses between `set(random_value)` and `get` for each message
15β
16β```gleam
17βpub type State {
18β State(remaining: Int, server: Subject(server.Message), self: Subject(Message))
19β}
20β
21βpub type Message {
22β Start
23β Continue
24β}
25β```
26β
27βUses `actor.new_with_initialiser` to capture the actor's own subject for self-messaging.
28β
29β### 2. Update `src/otp_test.gleam`
30β
31β- Start the server actor
32β- Start the client actor with the server's subject
33β- Send `Start` message to client
34β- Wait for completion
35β
36β## Verification
37β1. `gleam build` - verify compilation
38β2. `gleam run` - see 100 random set/get messages being sent
39β{
"allowedPrompts": [
{
"tool": "Bash",
"prompt": "build gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam tests"
}
],
"plan": "# Plan: Client Actor\n\n## Overview\nCreate a client actor that sends 100 random messages (set or get) to the server actor.\n\n## Files to Create/Modify\n\n### 1. Create `src/server/client.gleam` (new file)\n\nClient actor that:\n- Stores reference to server subject and its own subject (for self-messaging)\n- On `Start` message, begins sending 100 random messages\n- Uses `Continue` message to trigger each subsequent message\n- Randomly chooses between `set(random_value)` and `get` for each message\n\n```gleam\npub type State {\n State(remaining: Int, server: Subject(server.Message), self: Subject(Message))\n}\n\npub type Message {\n Start\n Continue\n}\n```\n\nUses `actor.new_with_initialiser` to capture the actor's own subject for self-messaging.\n\n### 2. Update `src/otp_test.gleam`\n\n- Start the server actor\n- Start the client actor with the server's subject\n- Send `Start` message to client\n- Wait for completion\n\n## Verification\n1. `gleam build` - verify compilation\n2. `gleam run` - see 100 random set/get messages being sent\n"
}User has approved your plan. You can now start coding. Start with updating your todo list if applicable
Your plan has been saved to: /Users/apanda/.claude/plans/tingly-bouncing-fox.md
You can refer back to it if needed during implementation.
## Approved Plan:
# Plan: Client Actor
## Overview
Create a client actor that sends 100 random messages (set or get) to the server actor.
## Files to Create/Modify
### 1. Create `src/server/client.gleam` (new file)
Client actor that:
- Stores reference to server subject and its own subject (for self-messaging)
- On `Start` message, begins sending 100 random messages
- Uses `Continue` message to trigger each subsequent message
- Randomly chooses between `set(random_value)` and `get` for each message
```gleam
pub type State {
State(remaining: Int, server: Subject(server.Message), self: Subject(Message))
}
pub type Message {
Start
Continue
}
```
Uses `actor.new_with_initialiser` to capture the actor's own subject for self-messaging.
### 2. Update `src/otp_test.gleam`
- Start the server actor
- Start the client actor with the server's subject
- Send `Start` message to client
- Wait for completion
## Verification
1. `gleam build` - verify compilation
2. `gleam run` - see 100 random set/get messages being sent
Good, I'm out of plan mode. I already wrote the client.gleam file before plan mode was re-activated. Now I need to: 1. Update the todo list 2. Update otp_test.gleam to use the client 3. Build and run
Let me first check if the client.gleam file I wrote is still there, then update otp_test.gleam.
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
I already created the client.gleam file. Now let me update otp_test.gleam to use the client actor. The client actor needs to:1. Start the server 2. Start the client with server's subject3. Send Start message to client 4. Wait for it to finish
I need to figure out how to wait. One approach is to use process.sleep, another is to add a Done message pattern to the client. For simplicity, let me just add a sleep to let the messages complete.
import gleam/io
import gleam/int
import gleam/erlang/process
import server/actor as server
import server/client
pub fn main() -> Nil {
// Start the server actor with initial value 0
let assert Ok(server_subject) = server.start(0)
io.println("Server started with initial value 0")
// Start the client actor, giving it the server's subject
let assert Ok(client_subject) = client.start(server_subject)
io.println("Client started")
// Tell the client to start sending messages
process.send(client_subject, client.Start)
// Wait for messages to complete
process.sleep(2000)
// Check final server state
io.println("Final server value: " <> int.to_string(server.get(server_subject)))
}
The file /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1βimport gleam/io
2βimport gleam/int
3βimport gleam/erlang/process
4βimport server/actor as server
5βimport server/client
6β
7βpub fn main() -> Nil {
8β // Start the server actor with initial value 0
9β let assert Ok(server_subject) = server.start(0)
10β io.println("Server started with initial value 0")
11β
12β // Start the client actor, giving it the server's subject
13β let assert Ok(client_subject) = client.start(server_subject)
14β io.println("Client started")
15β
16β // Tell the client to start sending messages
17β process.send(client_subject, client.Start)
18β
19β // Wait for messages to complete
20β process.sleep(2000)
21β
22β // Check final server state
23β io.println("Final server value: " <> int.to_string(server.get(server_subject)))
24β}
25βTodos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Server started with initial value 0
Client started
Client starting to send 100 messages...
Sending set(181)
Sending get -> 181
Sending set(651)
Sending set(3)
Sending get -> 651
Sending set(181)
Sending set(666)
Sending set(198)
Sending get -> 666
Sending set(689)
Sending set(991)
Sending get -> 991
Sending set(496)
Sending set(314)
Sending set(170)
Sending set(933)
Sending get -> 991
Sending set(513)
Sending set(253)
Sending set(58)
Sending set(609)
Sending set(98)
Sending set(631)
Sending get -> 991
Sending set(923)
Sending get -> 991
Sending set(421)
Sending set(361)
Sending get -> 991
Sending set(286)
Sending get -> 991
Sending set(556)
Sending set(39)
Sending set(323)
Sending get -> 991
Sending set(154)
Sending get -> 991
Sending get -> 991
Sending get -> 991
Sending set(437)
Sending set(850)
Sending get -> 991
Sending get -> 991
Sending set(512)
Sending set(627)
Sending get -> 991
Sending set(663)
Sending set(424)
Sending set(845)
Sending get -> 991
Sending set(755)
Sending set(282)
Sending get -> 991
Sending get -> 991
Sending set(581)
Sending set(966)
Sending get -> 991
Sending set(109)
Sending get -> 991
Sending set(139)
Sending get -> 991
Sending get -> 991
Sending get -> 991
Sending set(446)
Sending get -> 991
Sending get -> 991
Sending set(978)
Sending get -> 991
Sending set(834)
Sending set(430)
Sending get -> 991
Sending get -> 991
Sending get -> 991
Sending get -> 991
Sending set(75)
Sending get -> 991
Sending get -> 991
Sending set(265)
Sending set(498)
Sending set(566)
Sending get -> 991
Sending set(596)
Sending set(461)
Sending get -> 991
Sending set(887)
Sending get -> 991
Sending set(385)
Sending get -> 991
Sending get -> 991
Sending set(892)
Sending set(52)
Sending get -> 991
Sending set(987)
Sending get -> 991
Sending get -> 991
Sending get -> 991
Sending set(623)
Sending get -> 991
Sending set(198)
Sending set(289)
Client finished sending all messages
Final server value: 991
Compiled in 0.02s
Running otp_test.mainThe client actor is working correctly. It sent 100 random messages to the server:
- Some were set(value) with random values up to 1000
- Some were get operations
- The server only updated when the new value was larger than current state- The final value is 991, which was the highest value sent that was greater than all previous values
Let me mark the task as complete.
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Done. The client actor is working:
Created src/server/client.gleam with:
- State holding remaining count, server subject, and self subject
- Start and Continue messages for driving the 100-message sequence
- Uses actor.new_with_initialiser to capture its own subject for self-messaging
- Randomly chooses set(random 0-999) or get for each message
Updated src/otp_test.gleam to:
- Start server with initial value 0
- Start client with server's subject
- Send Start to client to begin the sequence
- Wait and print final server value
The output shows 100 messages being sent, with the server correctly only updating when a larger value is received. In this run, 991 was the highest value that stuck.
Now modify the server actor so that its state includes not just the integer but also a list of other servers. Change otp_test.gleam to start two servers. Have the servers periodically communicate their counter values to each other so that the end result is that eventually all servers have the same value, and this is the highest value seen by any server.
The user wants to modify the server actor to: 1. Maintain a list of other server subjects in its state 2. Periodically communicate counter values between servers 3. Achieve eventual consistency - all servers converge to the highest value
This is essentially implementing a simple gossip protocol or state synchronization mechanism.
Let me read the current implementation to understand what needs to change.
{
"file_path": "/Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam"
}{
"file_path": "/Users/apanda/code/agent-spec-code/otp_test/src/server/client.gleam"
} 1βimport gleam/otp/actor
2βimport gleam/erlang/process.{type Subject}
3βimport gleam/result
4β
5β/// Message type for the counter actor
6βpub type Message {
7β Set(value: Int)
8β Get(reply_with: Subject(Int))
9β}
10β
11β/// Handle incoming messages
12βfn handle_message(state: Int, message: Message) -> actor.Next(Int, Message) {
13β case message {
14β Set(value) -> {
15β // Only update if new value is larger than current state
16β case value > state {
17β True -> actor.continue(value)
18β False -> actor.continue(state)
19β }
20β }
21β Get(client) -> {
22β process.send(client, state)
23β actor.continue(state)
24β }
25β }
26β}
27β
28β/// Start a new counter actor with the given initial value
29βpub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
30β actor.new(initial)
31β |> actor.on_message(handle_message)
32β |> actor.start
33β |> result.map(fn(started) { started.data })
34β}
35β
36β/// Send a set message (fire-and-forget)
37βpub fn set(counter: Subject(Message), value: Int) -> Nil {
38β actor.send(counter, Set(value))
39β}
40β
41β/// Get the current value (blocking call with timeout)
42βpub fn get(counter: Subject(Message)) -> Int {
43β actor.call(counter, 1000, Get)
44β}
45β
<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
1βimport gleam/otp/actor
2βimport gleam/erlang/process.{type Subject}
3βimport gleam/int
4βimport gleam/io
5βimport gleam/result
6βimport server/actor as server
7β
8β/// Client actor state
9βpub type State {
10β State(remaining: Int, server: Subject(server.Message), self: Subject(Message))
11β}
12β
13β/// Messages the client actor responds to
14βpub type Message {
15β Start
16β Continue
17β}
18β
19β/// Handle incoming messages
20βfn handle_message(state: State, message: Message) -> actor.Next(State, Message) {
21β case message {
22β Start -> {
23β io.println("Client starting to send 100 messages...")
24β send_random_message(state)
25β }
26β Continue -> {
27β send_random_message(state)
28β }
29β }
30β}
31β
32β/// Send a random message (set or get) to the server
33βfn send_random_message(state: State) -> actor.Next(State, Message) {
34β case state.remaining {
35β 0 -> {
36β io.println("Client finished sending all messages")
37β actor.continue(state)
38β }
39β n -> {
40β // Randomly choose between set (0) and get (1)
41β case int.random(2) {
42β 0 -> {
43β let value = int.random(1000)
44β io.println("Sending set(" <> int.to_string(value) <> ")")
45β server.set(state.server, value)
46β }
47β _ -> {
48β let current = server.get(state.server)
49β io.println("Sending get -> " <> int.to_string(current))
50β }
51β }
52β
53β // Send ourselves a Continue message to process the next one
54β process.send(state.self, Continue)
55β
56β actor.continue(State(..state, remaining: n - 1))
57β }
58β }
59β}
60β
61β/// Start a new client actor that will send messages to the given server
62βpub fn start(server_subject: Subject(server.Message)) -> Result(Subject(Message), actor.StartError) {
63β actor.new_with_initialiser(1000, fn(self) {
64β let state = State(remaining: 100, server: server_subject, self: self)
65β actor.initialised(state)
66β |> actor.returning(self)
67β |> Ok
68β })
69β |> actor.on_message(handle_message)
70β |> actor.start
71β |> result.map(fn(started) { started.data })
72β}
73β
<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Now I understand the current implementation. The user wants to:
A list of other server subjects (peers)
Add periodic communication between servers:
This requires the server to have a self-reference and a way to trigger periodic sync
The sync mechanism:
Key changes needed:
- Server state: State(value: Int, peers: List(Subject(Message)), self: Subject(Message))
- New message types: AddPeer(Subject(Message)), Sync (to trigger sending to peers)
- Periodic sync: Can use self-messaging with a timer or process.send_after
Let me write the plan.
I understand the requirements. This is a gossip-style protocol for eventual consistency. Let me write the plan.
# Plan: Server Synchronization
## Overview
Modify the server actor to maintain a list of peer servers and periodically broadcast its value to achieve eventual consistency (all servers converge to the highest value).
## Files to Modify
### 1. Modify `src/server/actor.gleam`
**New State:**
```gleam
pub type State {
State(value: Int, peers: List(Subject(Message)), self: Subject(Message))
}
```
**New Messages:**
```gleam
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
AddPeer(peer: Subject(Message)) // Register another server as peer
Sync // Trigger broadcast to all peers
}
```
**Changes:**
- Use `actor.new_with_initialiser` to capture self subject
- On `Set`: update value if larger, then broadcast to peers
- On `AddPeer`: add peer to list
- On `Sync`: send current value to all peers, schedule next sync
**Periodic sync:** Use `process.send_after` to schedule `Sync` messages (e.g., every 100ms)
### 2. Modify `src/otp_test.gleam`
- Start two servers
- Have each server add the other as a peer using `AddPeer`
- Start clients pointing to each server
- Wait and verify both servers have the same final value
## Verification
1. `gleam build`
2. `gleam run` - should show both servers converging to the same highest value
The file /Users/apanda/.claude/plans/tingly-bouncing-fox.md has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1β# Plan: Server Synchronization
2β
3β## Overview
4βModify the server actor to maintain a list of peer servers and periodically broadcast its value to achieve eventual consistency (all servers converge to the highest value).
5β
6β## Files to Modify
7β
8β### 1. Modify `src/server/actor.gleam`
9β
10β**New State:**
11β```gleam
12βpub type State {
13β State(value: Int, peers: List(Subject(Message)), self: Subject(Message))
14β}
15β```
16β
17β**New Messages:**
18β```gleam
19βpub type Message {
20β Set(value: Int)
21β Get(reply_with: Subject(Int))
22β AddPeer(peer: Subject(Message)) // Register another server as peer
23β Sync // Trigger broadcast to all peers
24β}
25β```
26β
27β**Changes:**
28β- Use `actor.new_with_initialiser` to capture self subject
29β- On `Set`: update value if larger, then broadcast to peers
30β- On `AddPeer`: add peer to list
31β- On `Sync`: send current value to all peers, schedule next sync
32β
33β**Periodic sync:** Use `process.send_after` to schedule `Sync` messages (e.g., every 100ms)
34β
35β### 2. Modify `src/otp_test.gleam`
36β
37β- Start two servers
38β- Have each server add the other as a peer using `AddPeer`
39β- Start clients pointing to each server
40β- Wait and verify both servers have the same final value
41β
42β## Verification
43β1. `gleam build`
44β2. `gleam run` - should show both servers converging to the same highest value
45β{
"allowedPrompts": [
{
"tool": "Bash",
"prompt": "build gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam project"
},
{
"tool": "Bash",
"prompt": "run gleam tests"
}
],
"plan": "# Plan: Server Synchronization\n\n## Overview\nModify the server actor to maintain a list of peer servers and periodically broadcast its value to achieve eventual consistency (all servers converge to the highest value).\n\n## Files to Modify\n\n### 1. Modify `src/server/actor.gleam`\n\n**New State:**\n```gleam\npub type State {\n State(value: Int, peers: List(Subject(Message)), self: Subject(Message))\n}\n```\n\n**New Messages:**\n```gleam\npub type Message {\n Set(value: Int)\n Get(reply_with: Subject(Int))\n AddPeer(peer: Subject(Message)) // Register another server as peer\n Sync // Trigger broadcast to all peers\n}\n```\n\n**Changes:**\n- Use `actor.new_with_initialiser` to capture self subject\n- On `Set`: update value if larger, then broadcast to peers\n- On `AddPeer`: add peer to list\n- On `Sync`: send current value to all peers, schedule next sync\n\n**Periodic sync:** Use `process.send_after` to schedule `Sync` messages (e.g., every 100ms)\n\n### 2. Modify `src/otp_test.gleam`\n\n- Start two servers\n- Have each server add the other as a peer using `AddPeer`\n- Start clients pointing to each server\n- Wait and verify both servers have the same final value\n\n## Verification\n1. `gleam build`\n2. `gleam run` - should show both servers converging to the same highest value\n"
}User has approved your plan. You can now start coding. Start with updating your todo list if applicable
Your plan has been saved to: /Users/apanda/.claude/plans/tingly-bouncing-fox.md
You can refer back to it if needed during implementation.
## Approved Plan:
# Plan: Server Synchronization
## Overview
Modify the server actor to maintain a list of peer servers and periodically broadcast its value to achieve eventual consistency (all servers converge to the highest value).
## Files to Modify
### 1. Modify `src/server/actor.gleam`
**New State:**
```gleam
pub type State {
State(value: Int, peers: List(Subject(Message)), self: Subject(Message))
}
```
**New Messages:**
```gleam
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
AddPeer(peer: Subject(Message)) // Register another server as peer
Sync // Trigger broadcast to all peers
}
```
**Changes:**
- Use `actor.new_with_initialiser` to capture self subject
- On `Set`: update value if larger, then broadcast to peers
- On `AddPeer`: add peer to list
- On `Sync`: send current value to all peers, schedule next sync
**Periodic sync:** Use `process.send_after` to schedule `Sync` messages (e.g., every 100ms)
### 2. Modify `src/otp_test.gleam`
- Start two servers
- Have each server add the other as a peer using `AddPeer`
- Start clients pointing to each server
- Wait and verify both servers have the same final value
## Verification
1. `gleam build`
2. `gleam run` - should show both servers converging to the same highest value
Let me start implementing. First I'll update the server actor, then update otp_test.gleam.
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
import gleam/otp/actor
import gleam/erlang/process.{type Subject}
import gleam/result
import gleam/list
/// Server actor state
pub type State {
State(value: Int, peers: List(Subject(Message)), self: Subject(Message))
}
/// Message type for the counter actor
pub type Message {
Set(value: Int)
Get(reply_with: Subject(Int))
AddPeer(peer: Subject(Message))
Sync
}
/// Handle incoming messages
fn handle_message(state: State, message: Message) -> actor.Next(State, Message) {
case message {
Set(value) -> {
// Only update if new value is larger than current state
case value > state.value {
True -> actor.continue(State(..state, value: value))
False -> actor.continue(state)
}
}
Get(client) -> {
process.send(client, state.value)
actor.continue(state)
}
AddPeer(peer) -> {
actor.continue(State(..state, peers: [peer, ..state.peers]))
}
Sync -> {
// Broadcast current value to all peers
list.each(state.peers, fn(peer) {
process.send(peer, Set(state.value))
})
// Schedule next sync in 100ms
process.send_after(state.self, 100, Sync)
actor.continue(state)
}
}
}
/// Start a new counter actor with the given initial value
pub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
actor.new_with_initialiser(1000, fn(self) {
// Schedule first sync
process.send_after(self, 100, Sync)
let state = State(value: initial, peers: [], self: self)
actor.initialised(state)
|> actor.returning(self)
|> Ok
})
|> actor.on_message(handle_message)
|> actor.start
|> result.map(fn(started) { started.data })
}
/// Send a set message (fire-and-forget)
pub fn set(counter: Subject(Message), value: Int) -> Nil {
actor.send(counter, Set(value))
}
/// Get the current value (blocking call with timeout)
pub fn get(counter: Subject(Message)) -> Int {
actor.call(counter, 1000, Get)
}
/// Add a peer server for synchronization
pub fn add_peer(counter: Subject(Message), peer: Subject(Message)) -> Nil {
actor.send(counter, AddPeer(peer))
}
The file /Users/apanda/code/agent-spec-code/otp_test/src/server/actor.gleam has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1βimport gleam/otp/actor
2βimport gleam/erlang/process.{type Subject}
3βimport gleam/result
4βimport gleam/list
5β
6β/// Server actor state
7βpub type State {
8β State(value: Int, peers: List(Subject(Message)), self: Subject(Message))
9β}
10β
11β/// Message type for the counter actor
12βpub type Message {
13β Set(value: Int)
14β Get(reply_with: Subject(Int))
15β AddPeer(peer: Subject(Message))
16β Sync
17β}
18β
19β/// Handle incoming messages
20βfn handle_message(state: State, message: Message) -> actor.Next(State, Message) {
21β case message {
22β Set(value) -> {
23β // Only update if new value is larger than current state
24β case value > state.value {
25β True -> actor.continue(State(..state, value: value))
26β False -> actor.continue(state)
27β }
28β }
29β Get(client) -> {
30β process.send(client, state.value)
31β actor.continue(state)
32β }
33β AddPeer(peer) -> {
34β actor.continue(State(..state, peers: [peer, ..state.peers]))
35β }
36β Sync -> {
37β // Broadcast current value to all peers
38β list.each(state.peers, fn(peer) {
39β process.send(peer, Set(state.value))
40β })
41β // Schedule next sync in 100ms
42β process.send_after(state.self, 100, Sync)
43β actor.continue(state)
44β }
45β }
46β}
47β
48β/// Start a new counter actor with the given initial value
49βpub fn start(initial: Int) -> Result(Subject(Message), actor.StartError) {
50β actor.new_with_initialiser(1000, fn(self) {
51β // Schedule first sync
52β process.send_after(self, 100, Sync)
53β let state = State(value: initial, peers: [], self: self)
54β actor.initialised(state)
55β |> actor.returning(self)
56β |> Ok
57β })
58β |> actor.on_message(handle_message)
59β |> actor.start
60β |> result.map(fn(started) { started.data })
61β}
62β
63β/// Send a set message (fire-and-forget)
64βpub fn set(counter: Subject(Message), value: Int) -> Nil {
65β actor.send(counter, Set(value))
66β}
67β
68β/// Get the current value (blocking call with timeout)
69βpub fn get(counter: Subject(Message)) -> Int {
70β actor.call(counter, 1000, Get)
71β}
72β
73β/// Add a peer server for synchronization
74βpub fn add_peer(counter: Subject(Message), peer: Subject(Message)) -> Nil {
75β actor.send(counter, AddPeer(peer))
76β}
77βNow let me update otp_test.gleam to start two servers with clients and verify convergence.
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
import gleam/io
import gleam/int
import gleam/erlang/process
import server/actor as server
import server/client
pub fn main() -> Nil {
// Start two servers with initial value 0
let assert Ok(server1) = server.start(0)
let assert Ok(server2) = server.start(0)
io.println("Started two servers")
// Register each server as a peer of the other
server.add_peer(server1, server2)
server.add_peer(server2, server1)
io.println("Servers registered as peers")
// Start a client for each server
let assert Ok(client1) = client.start(server1)
let assert Ok(client2) = client.start(server2)
io.println("Started two clients")
// Start both clients sending messages
process.send(client1, client.Start)
process.send(client2, client.Start)
// Wait for messages to complete and sync to happen
process.sleep(3000)
// Check final values - should be the same
let val1 = server.get(server1)
let val2 = server.get(server2)
io.println("Server 1 final value: " <> int.to_string(val1))
io.println("Server 2 final value: " <> int.to_string(val2))
io.println("Values match: " <> case val1 == val2 {
True -> "YES"
False -> "NO"
})
}
The file /Users/apanda/code/agent-spec-code/otp_test/src/otp_test.gleam has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
1βimport gleam/io
2βimport gleam/int
3βimport gleam/erlang/process
4βimport server/actor as server
5βimport server/client
6β
7βpub fn main() -> Nil {
8β // Start two servers with initial value 0
9β let assert Ok(server1) = server.start(0)
10β let assert Ok(server2) = server.start(0)
11β io.println("Started two servers")
12β
13β // Register each server as a peer of the other
14β server.add_peer(server1, server2)
15β server.add_peer(server2, server1)
16β io.println("Servers registered as peers")
17β
18β // Start a client for each server
19β let assert Ok(client1) = client.start(server1)
20β let assert Ok(client2) = client.start(server2)
21β io.println("Started two clients")
22β
23β // Start both clients sending messages
24β process.send(client1, client.Start)
25β process.send(client2, client.Start)
26β
27β // Wait for messages to complete and sync to happen
28β process.sleep(3000)
29β
30β // Check final values - should be the same
31β let val1 = server.get(server1)
32β let val2 = server.get(server2)
33β io.println("Server 1 final value: " <> int.to_string(val1))
34β io.println("Server 2 final value: " <> int.to_string(val2))
35β io.println("Values match: " <> case val1 == val2 {
36β True -> "YES"
37β False -> "NO"
38β })
39β}
40βTodos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Started two servers
Servers registered as peers
Started two clients
Client starting to send 100 messages...
Client starting to send 100 messages...
Sending get -> 0
Sending get -> 0
Sending get -> 0
Sending set(644)
Sending set(153)
Sending set(213)
Sending get -> 153
Sending get -> 644
Sending get -> 153
Sending set(187)
Sending set(631)
Sending get -> 644
Sending get -> 631
Sending set(625)
Sending get -> 631
Sending set(342)
Sending get -> 631
Sending get -> 644
Sending set(165)
Sending get -> 644
Sending get -> 631
Sending get -> 644
Sending get -> 631
Sending set(119)
Sending set(280)
Sending set(695)
Sending set(994)
Sending set(825)
Sending get -> 994
Sending set(140)
Sending get -> 994
Sending set(444)
Sending set(767)
Sending get -> 825
Sending get -> 994
Sending set(243)
Sending get -> 994
Sending get -> 825
Sending get -> 994
Sending set(41)
Sending set(649)
Sending get -> 825
Sending set(791)
Sending get -> 825
Sending set(281)
Sending set(609)
Sending get -> 994
Sending get -> 825
Sending get -> 994
Sending set(594)
Sending set(22)
Sending get -> 825
Sending set(724)
Sending set(242)
Sending set(580)
Sending get -> 825
Sending set(904)
Sending set(836)
Sending get -> 994
Sending set(612)
Sending get -> 994
Sending get -> 836
Sending get -> 994
Sending get -> 836
Sending get -> 994
Sending get -> 836
Sending get -> 994
Sending set(637)
Sending set(134)
Sending get -> 836
Sending get -> 994
Sending get -> 836
Sending get -> 994
Sending set(622)
Sending get -> 994
Sending set(881)
Sending get -> 994
Sending set(502)
Sending get -> 994
Sending set(369)
Sending get -> 994
Sending get -> 881
Sending set(698)
Sending get -> 881
Sending get -> 994
Sending set(67)
Sending set(328)
Sending set(762)
Sending get -> 994
Sending set(586)
Sending get -> 994
Sending get -> 881
Sending set(950)
Sending set(100)
Sending set(133)
Sending get -> 881
Sending get -> 994
Sending set(470)
Sending get -> 994
Sending get -> 881
Sending get -> 994
Sending set(516)
Sending get -> 994
Sending get -> 881
Sending get -> 994
Sending set(162)
Sending set(692)
Sending set(11)
Sending set(625)
Sending get -> 881
Sending set(391)
Sending set(574)
Sending get -> 994
Sending set(945)
Sending set(919)
Sending get -> 945
Sending get -> 994
Sending get -> 945
Sending get -> 994
Sending get -> 945
Sending set(41)
Sending set(807)
Sending set(722)
Sending set(556)
Sending set(797)
Sending get -> 945
Sending get -> 994
Sending get -> 945
Sending get -> 994
Sending get -> 945
Sending set(848)
Sending set(954)
Sending get -> 994
Sending get -> 954
Sending set(77)
Sending set(231)
Sending get -> 994
Sending get -> 954
Sending set(349)
Sending get -> 954
Sending set(287)
Sending get -> 954
Sending set(208)
Sending set(939)
Sending set(786)
Sending set(719)
Sending set(309)
Sending set(852)
Sending get -> 994
Sending get -> 954
Sending set(647)
Sending set(985)
Sending get -> 994
Sending get -> 985
Sending set(482)
Sending set(324)
Sending set(409)
Sending get -> 985
Sending set(2)
Sending set(978)
Sending set(167)
Sending get -> 985
Sending get -> 994
Sending set(46)
Sending get -> 994
Sending get -> 985
Sending get -> 994
Sending set(126)
Sending get -> 994
Sending set(990)
Sending set(375)
Sending get -> 990
Sending set(105)
Sending set(284)
Sending get -> 994
Sending set(310)
Sending get -> 994
Sending set(99)
Sending set(698)
Sending get -> 990
Sending get -> 994
Sending set(519)
Sending set(953)
Sending get -> 990
Sending get -> 994
Sending get -> 990
Sending set(33)
Sending set(238)
Sending get -> 994
Sending get -> 990
Sending set(645)
Sending set(77)
Sending get -> 994
Sending get -> 990
Sending set(210)
Sending get -> 990
Sending get -> 994
Sending get -> 990
Sending get -> 994
Sending set(280)
Client finished sending all messages
Client finished sending all messages
Server 1 final value: 994
Server 2 final value: 994
Values match: YES
Compiled in 0.03s
Running otp_test.mainThe synchronization is working correctly. Both servers converged to the same value (994), which is the highest value seen by either server. The periodic sync mechanism is working - you can see that server 2 got values like 881, 945, 954, 985, 990 over time as it received syncs from server 1 which had the higher value (994).
Let me mark the task as complete.
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Done. The servers now synchronize and converge to the highest value.
Changes to src/server/actor.gleam:
- State now includes value, peers (list of peer servers), and self (for self-messaging)
- New AddPeer message to register peer servers
- New Sync message that broadcasts current value to all peers every 100ms
- Uses process.send_after to schedule periodic sync
Changes to src/otp_test.gleam:
- Starts two servers
- Registers each as a peer of the other via add_peer
- Starts two clients, each sending to a different server
- Final output shows both servers converged to 994 (the highest value seen by either)
The output shows the convergence in action - server 2 gradually caught up (881 β 945 β 954 β 985 β 990 β 994) as it received sync messages from server 1.