<context
context="78.9"
cpu="0"
disk_total="1081101176832"
disk_used="125140549632"
gpu="0"
memory_total="16630435840"
memory_used="1040867328"
stdin="0"
time="2024-11-19T17:48:56Z">
<read_stdin id="0cd183e6-3db7-4539-8b10-604f97c03a1e">
<![CDATA[The SIA source is located in /root/sia. Not all features are implemented yet. Look at the readme and code to find what is missing. Make sure to unit test your work.]]>
</read_stdin>
<reasoning id="ab67e68c-766f-4602-9237-db99e1f4581c">
<![CDATA[
I have received instructions to look at the SIA source code located in /root/sia.
I need to identify what features are missing and ensure that unit tests are implemented for my work.
First, I will navigate to the /root/sia directory and list its contents to understand the structure.
]]>
</reasoning>
<single
exit_code="0"
id="e50ee4a4-8adc-496e-80ef-7cc3aaa8fd0b"
stdout_truncated="true">
<![CDATA[
ls -la /root/sia
]]>
<stdout>
<![CDATA[total 200
drwxr-xr-x 1 root root 4096 Nov 19 16:07 .
drwx------ 1 root root 4096 Nov 19 16:07 ..
drwxr-xr-x 2 root root 4096 Oct 31 17:07 .crossnote
-rwxr-xr-x 1 root root 14 Nov 4 16:01 .dockerignore
drwxr-xr-x 8 root root 4096 Nov 19 16:01 .git
-rwxr-xr-x 1 root root 30 Nov 4 16:01 .gitignore
-rwxr-xr-x 1 root root 843 Nov 4 14:52 Dockerfile
-rwxr-xr-x 1 root root 19975 Nov 19 14:20 README.md
drwxr-xr-x 2 root root 4096 Nov 15 16:10 _test
-rwxr-xr-x 1 root root 3923 Nov 13 15:56 action_schema.xsd
-rwxr-xr-x 1 root root 2064 Nov 6 12:29 claude.sh
-rwxr-xr-x 1 root root 85153 Nov 14 13:30 claude.txt
-rwxr-xr-x 1 root root 572 Nov 19 14:20 install.sh
drwxr-xr-x 2 root root 4096 Nov 19 16:30 iterations
-rwxr-xr-x 1 root root 105 Nov 19 14:20 requirements.txt
-rwxr-xr-x 1 root root 218 Nov 12 16:26 run.sh
drwxr-xr-x 1 root root 4096 Nov 19 16:07 sia
drwxr-xr-x 3 root root 4096 Nov 19 16:01 static
-rwxr-xr-x 1 root root 4120 Nov 13 16:05 system_prompt.md
drwxr-xr-x 2 root root 4096 N]]>
</stdout>
<stderr/>
</single>
<reasoning id="206f9da6-b57a-46c3-b698-110b18602aab">
<![CDATA[
I have successfully listed the contents of the /root/sia directory.
The directory contains several files and subdirectories, including a README.md file, a Dockerfile, and various scripts.
The next step is to read the README.md file to understand the project structure and identify any missing features.
I will use the `cat` command to display the contents of the README.md file.
]]>
</reasoning>
<single
exit_code="0"
id="702b5383-e8df-4bb8-a021-d966bbf9e3fb"
stdout_truncated="true">
<![CDATA[cat /root/sia/README.md]]>
<stdout>
<![CDATA[# SIA - The Self Improving Agent
SIA is an agentic artificial intelligence system that autonomously completes complex tasks by writing and executing scripts.
It uses a Large Language Model (LLM) which operates in a loop.
Each iteration a context is updated with system info and a list of previous reasoning and actions.
The agent responds with a new reasoning or an action.
Context, reasoning and actions are stored in a file for each iteration.
SIA can read past iterations to improve its reasoning and actions.
It can improve in two ways:
- By finetuning the LLM with a better reasoning or action for a given context
- By modifying its own source code
## Example
This example shows a typical context with some monitored items and previous actions.
Between each of the responses, the context would be updated.
### Context
```xml
<context
time="2024-10-18T12:00:00Z"
cpu="12"
gpu="26"
memory_used="9556302234"
memory_total="17179869184"
disk_used="244434939904"
disk_total="273145991168"
context="3"
s]]>
</stdout>
<stderr/>
</single>
<reasoning id="1e3cc87a-8c0d-4f29-9f0b-89b3825b08e0">
<![CDATA[
I have successfully read the beginning of the README.md file.
The file provides an overview of the SIA project, including its purpose and how it operates.
The next step is to continue reading the README.md file to understand the project structure and identify any missing features.
I will use the `tail` command to display the next part of the README.md file.
]]>
</reasoning>
<single
exit_code="0"
id="394be1d8-3a5c-4794-abf2-771cb2e5e8c0"
stdout_truncated="true">
<![CDATA[tail -c +1024 /root/sia/README.md]]>
<stdout>
145991168"
context="3"
stdin="0"
/>
<repeat id="a3d89ee5-28ec-4c5a-b9e9-a30af53d43a0" exit_code="0">
<![CDATA[ls -lah /]]>
<stdout><![CDATA[total 16K
drwxr-xr-x 1 sia 1049089 0 Oct 28 13:40 ./
drwxr-xr-x 1 sia 1049089 0 Oct 28 13:40 ../
drwxr-xr-x 1 sia 1049089 0 Oct 28 13:40 tasks/
drwxr-xr-x 1 sia 1049089 0 Oct 28 13:40 user/
]]></stdout>
<stderr/>
</repeat>
<repeat id="be8070f8-dbd2-47ee-a208-defe6fd49ae0" exit_code="0">
<![CDATA[ls -lah /tasks]]>
<stdout><![CDATA[total 0
drwxr-xr-x 1 ngeens 1049089 0 Oct 28 13:40 ./
drwxr-xr-x 1 ngeens 1049089 0 Oct 28 13:40 ../
]]></stdout>
<stderr/>
</repeat>
<repeat id="375e1657-8140-456b-bda4-a8690bc4b3fb" exit_code="0">
<![CDATA[cat /user/general_info.txt]]>
<stdout><![CDATA[Name: John (I don't know his last name)
Location: Somewhere in Belgium
]]></stdout>
<stderr/>
</repeat>
<reasoning id="c92d1594-4487-4a42-a153-f0a99da1762f"><![CDATA[There is data available on the standard input channel. I have no other runnin
</stdout>
<stderr/>
</single>
<reasoning id="7566562e-feeb-4a4a-b8ff-4eaea93f930b">
<![CDATA[
I have successfully read the next part of the README.md file.
The file continues to provide an overview of the SIA project, including its purpose and how it operates.
The next step is to continue reading the README.md file to understand the project structure and identify any missing features.
I will use the `tail` command to display the next part of the README.md file.
]]>
</reasoning>
<single
exit_code="0"
id="c0ca60ee-05aa-45e8-80f0-fe37c16d0e41"
stdout_truncated="true">
<![CDATA[tail -c +2048 /root/sia/README.md]]>
<stdout>
annel. I have no other running tasks to tend to and there is room in the context. I should read the standard input.]]></reasoning>
<read_stdin id="5361ad0d-3ed1-4567-9f5a-70f3b462fd8d"><![CDATA[Remind me to feed the cat tomorrow morning]]></read_stdin>
</context>
```
### Responses
Start by reasoning about the task.
```xml
<reasoning>
John did not specify an exact time.
I'll suggest 9am.
He also did not specify how to be reminded.
I'll ask but if he doesn't respond I'll assume a text message on standard output is fine.
I'll write down this task in a file so I remember it even on a power failure.
</reasoning>
```
Store important information on disk.
```xml
<script><![CDATA[echo 'Remind John to feed the cat on 2024-10-18T09:00:00+02:00. Use standard output.' > /tasks/reminder_to_feed_cat.txt]]></script>
```
Respond to the user.
```xml
<write_stdout>I'll remind you to feed the cat tomorrow morning at 9am. Is a message on the standard output ok?</write_stdout>
```
Clear initial reasoning.
```xml
</stdout>
<stderr/>
</single>
<reasoning id="4a92af78-dc3f-42e7-95e6-b1c7a9630013">
<![CDATA[
I have successfully read the next part of the README.md file.
The file continues to provide an overview of the SIA project, including its purpose and how it operates.
The next step is to continue reading the README.md file to understand the project structure and identify any missing features.
I will use the `tail` command to display the next part of the README.md file.
]]>
</reasoning>
<single
exit_code="0"
id="aa347374-0bfd-437c-b692-784dab52898f"
stdout_truncated="true">
<![CDATA[tail -c +3072 /root/sia/README.md]]>
<stdout>
<![CDATA[ar initial reasoning.
```xml
<delete id="c92d1594-4487-4a42-a153-f0a99da1762f"/>
```
The conversation is kept in context to understand the user's expected response.
If the context was near full, it would be summarized and cleaned up.
The `script` output is also kept in context.
If the file was updated often, it could be replaced by a repeated `cat`, like the general info.
## Working principles
The main context is regenerated for each iteration.
It contains info about the system and previous actions that have not been deleted.
Together with the system prompt and available core actions it forms the prompt for the LLM.
The LLM responds with one core action.
### Core Actions
There are only a few core actions:
- Starting a script
- Deleting data from context
- Stopping SIA
- Reading standard input
- Writing to standard output
- Reasoning
### Scripts
Scripts can run in one of 2 modes: single-shot or repeat.
Their mode and output (stdout and stderr) stay in the context until they are explicitly removed.
In]]>
</stdout>
<stderr/>
</single>
<reasoning id="cb3a2d09-0287-4ca0-9bf2-28f90f3a148e">
<![CDATA[
I have successfully read another part of the README.md file.
The file continues to provide an overview of the SIA project, including its purpose and how it operates.
I can use the structure of the markdown format to navigate through the file.
I will use the `grep` command to find headings and their offset.
]]>
</reasoning>
<single exit_code="0" id="e5067cb3-036a-4bc1-953b-730bef63d9aa">
<![CDATA[
grep -Eb "^#" /root/sia/README.md
]]>
<stdout>
<![CDATA[0:# SIA - The Self Improving Agent
668:## Example
832:### Context
2323:### Responses
3462:## Working principles
3759:### Core Actions
3953:### Scripts
4204:#### Single-shot script
4433:#### Repeat script
4711:### Use of XML
5022:#### XML Data Flow
5705:### The SIA process
6048:### Server for debuggin and human input
6619:## Architecture
6885:### Core Components
6908:#### Agent Architecture
7521:#### Working Memory
8059:#### Command Processing
8490:#### IO Handling
8787:### Processing Flow
8810:#### Standard Agent Flow
9109:#### Web Agent Flow
9472:### Web Interface
9600:#### Server-Client Communication
9932:#### WebServer Architecture
10351:### Diagrams
10367:#### Core classes
12662:#### Standard Agent Flow
13387:#### Web Agent
15536:#### Web Agent Flow
16522:#### Entry classes
18459:#### IO Buffer classes
19156:#### Command classes
]]>
</stdout>
<stderr/>
</single>
<reasoning id="9140a160-c687-4d5d-91c0-cca847d1ce9a">
<![CDATA[
I have successfully retrieved the headings and their offsets from the README.md file.
This will help me navigate through the file more efficiently.
The next step is to read the section on "Working principles" to understand the core actions and scripts better.
I will use the `tail` command with the appropriate offset and limit to display this full section.
]]>
</reasoning>
<single
exit_code="0"
id="83bbaded-c55f-4a10-a8f5-e3e97badc842"
limit="3157"
stdout_truncated="true">
<![CDATA[
tail -c +3462 /root/sia/README.md
]]>
<stdout>
<![CDATA[
## Working principles
The main context is regenerated for each iteration.
It contains info about the system and previous actions that have not been deleted.
Together with the system prompt and available core actions it forms the prompt for the LLM.
The LLM responds with one core action.
### Core Actions
There are only a few core actions:
- Starting a script
- Deleting data from context
- Stopping SIA
- Reading standard input
- Writing to standard output
- Reasoning
### Scripts
Scripts can run in one of 2 modes: single-shot or repeat.
Their mode and output (stdout and stderr) stay in the context until they are explicitly removed.
In this way the agent manages what information is available in the context.
#### Single-shot script
The script is executed once.
This is useful for most operations e.g. writing to or moving a file or downloading content from the internet.
The next iteration starts after the scripts has finished.
#### Repeat script
The script is restarted on each iteration.
This is useful for monitoring files or the file system.
commands like `head` and `tail` can be used to limit the data in context.
The next iteration starts after all repeat scripts in context have finished.
### Use of XML
The context and actions are formatted as XML.
For the context this adds clear rules for escaping.
This is usefull in case a previous context is embedded.
The LLM is free to escape data any way it wants,
as long as it results in valid XML.
The response is validated against a schema.
#### XML Data Flow
Entries store their content as raw text. During context compilation, the XML formatter
wraps text content in CDATA sections, except when the content contains CDATA closing sequences.
In those cases, the formatter uses standard XML escaping.
This separation between storage and formatting:
- Keeps entry data clean and unescaped
- Centralizes XML formatting rules
- Makes it easy to change escaping rules without modifying entries
- Allows different formatting for different use cases
The Context is escaped using CDATA blocks.
Except when the data contains CDATA closing sequences.
Then the whole block is escaped using standard XML escaping.
### The SIA process
SIA is typically runs with the `restart.sh` script.
This is a simple shell script that runs SIA in a loop.
When stopped, SIA restarts and reloads the Python files.
This is how SIA can self-update.
SIA can also run SIA processes as script.
This can be used for testing updates to the LLM or core functionality.
### Server for debuggin and human input
SIA can be started with an optional `--server` flag.
This starts a web server that can be used to interact with SIA.
It is made, specifically for reinforcement learning by human feedback.
The web interface takes over standard input and output.
It will display the context for editing before handing it to the LLM.
After each run of the LLM, before parsing, it will display the reasoning and actions.
It interactively displays if the actions can be parsed.
At any time, the user can write to the standard input of SIA.
## Architecture
SIA follows a modular architecture centered around an agent that ]]>
</stdout>
<stderr/>
</single>
<reasoning id="094d22fd-dc5d-4842-85f0-5d3bf8cd1a7b">
<![CDATA[
My context usage is high.
This seems like a large task.
I will store the user's request in a notes directory.
Here I can formulate a plan.
I will use the `delete` action to clean up the context as I go.
]]>
</reasoning>
<single exit_code="0" id="2ae6dc6a-4329-4a26-8a43-35d1434bf7f1">
<![CDATA[mkdir /root/notes]]>
<stdout/>
<stderr/>
</single>
<single exit_code="0" id="a54ef610-8891-4882-8922-9134cb36020b">
<![CDATA[
cat > '/root/notes/user request.txt' << 'EOF'
2024-11-19T17:31:55Z
The SIA source is located in /root/sia. Not all features are implemented yet. Look at the readme and code to find what is missing. Make sure to unit test your work.
EOF
]]>
<stdout/>
<stderr/>
</single>
</context><single>cat '/root/notes/user request.txt'</single>