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SimpleChatTCRV: Update/Cleanup the new readme

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hanishkvc 2025-11-24 21:09:02 +05:30
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tools/server/public_simplechat/readme.md
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@ -2,6 +2,9 @@
by Humans for All.
A lightweight simple minded ai chat client with a web front-end that supports multiple chat sessions, vision, reasoning and tool calling.
## Quickstart
### Server
@ -18,6 +21,7 @@ build/bin/llama-server -m <path/to/model.gguf> \
- `--jinja` enables tool‑calling support
- `--mmproj <path/to/mmproj.gguf>` enables vision support
- `--port <port number>` use if a custom port is needed
- default is 8080 wrt llama-server
If one needs web related access / tool calls dont forget to run
@ -25,18 +29,20 @@ If one needs web related access / tool calls dont forget to run
cd tools/server/public_simplechat/local.tools; python3 ./simpleproxy.py --config simpleproxy.json
```
- `--debug True` enables debug mode which captures internet handshake data.
- `--debug True` enables debug mode which captures internet handshake data
- port defaults to 3128, can be changed from simpleproxy.json, if needed
### Client
1. Open `http://127.0.0.1:PORT/index.html` in a browser
1. Open `http://127.0.0.1:8080/index.html` in a browser
- assuming one is running the llama-server locally with its default port
2. Select / Create a chat session
- set a suitable system prompt, if needed
- modify **settings**, if needed
- **Restore** loads last autosaved session with same name
3. Enter the query, press **Enter**
3. Enter query/response into user input area at the bottom, press **Enter**
- use **Shift‑Enter** for newline
- include images if required (ai vision models)
@ -45,25 +51,26 @@ cd tools/server/public_simplechat/local.tools; python3 ./simpleproxy.py --config
5. If a tool call is requested
- verify / edit the tool call details before triggering the same
- one can even ask ai to rethink on the tool call requested,
by sending a appropriate user response instead of a tool call response.
- tool call is executed using browser's web worker or simpleproxy
- tool call response is placed in user input area (with color coding)
by sending a appropriate user response instead of a tool call response
- tool call is executed using Browser's web worker or included SimpleProxy.py
- tool call response is placed in user input area
- the user input area is color coded to distinguish between user and tool responses
- verify / edit the tool call response, before submit same back to ai
- tool response initially assigned `TOOL-TEMP` role, promoted to `TOOL` upon submit
- based on got response, if needed one can rerun tool call with modified arguments
- *at any time there can be one pending tool call wrt a chat session*
- at any time there can be one pending tool call wrt a chat session
6. **Delete / Copy** available via popover menu for each message
6. **Delete & Copy** available via popover menu for each message
7. **Clear** / **+ New** chat with provided buttons, as needed
7. **Clear / + New** chat with provided buttons, as needed
## Overview
A lightweight ai chat client with a web front-end that supports multiple chat sessions, vision, reasoning and tool calling.
A lightweight simple minded ai chat client with a web front-end that supports multiple chat sessions, vision, reasoning and tool calling.
- Supports multiple independent chat sessions with
- One‑shot or streamed (default) responses
- One‑shot or Streamed (default) responses
- Custom settings and system prompts per session
- Automatic local autosave (restorable on next load)
- can handshake with `/completions` or `/chat/completions` (default) endpoints
@ -75,29 +82,30 @@ A lightweight ai chat client with a web front-end that supports multiple chat se
- Supports vision / image / multimodal ai models
- attach image files as part of user chat messages
- handshaked as `image_url`s in chat message content array along with text
- supports multi-image uploads per message
- supports multiple image uploads per message
- images displayed inline in the chat history
- specify `mmproj` file via `-mmproj` or using `-hf`
- specify `-batch-size` and `-ubatch-size` if needed
- Built-in support for GenAI models that expose tool calling
- Built-in support for GenAI/LLM models that support tool calling
- includes a bunch of useful builtin tool calls, without needing any additional setup
- direct browser based tool calls include
- building on modern browsers' flexibility, following tool calls are directly supported by default
- `sys_date_time`, `simple_calculator`, `run_javascript_function_code`, `data_store_*`, `external_ai`
- except for external_ai, these are run from within a web worker context to isolate main context from them
- data_store brings in browser IndexedDB based persistant key/value storage across sessions
- along with included python based simpleproxy.py
- in collaboration with included python based simpleproxy.py, these additional tool calls are supported
- `search_web_text`, `fetch_web_url_raw`, `fetch_html_text`, `fetch_pdf_as_text`, `fetch_xml_filtered`
- these built‑in tool calls (via SimpleProxy) help fetch PDFs, HTML, XML or perform web search
- PDF tool also returns an outline with numbering
- PDF tool also returns an outline with numbering, if available
- result is truncated to `iResultMaxDataLength` (default 128 kB)
- helps isolate these functionality into a separate vm running locally or otherwise, if needed
- helps isolate core of these functionality into a separate vm running locally or otherwise, if needed
- supports whitelisting of `allowed.schemes` and `allowed.domains` through `simpleproxy.json`
- supports a bearer token shared between server and client for auth
- needs https support, for better security wrt this flow, avoided now given mostly local use
and need for user to setup corresponding pki key pairs.
- follows a safety first design and lets the user
- verify and optionally edit the tool call requests, before executing the same
@ -105,8 +113,8 @@ A lightweight ai chat client with a web front-end that supports multiple chat se
- user can update the settings for auto executing these actions, if needed
- external_ai allows invoking a separate fresh ai instance
- ai could run self modified targeted versions of itself/... with custom system prompts and user messages as needed
- user can bring in an ai instance with additional compute access, which should be used only if needed
- ai could run self modified targeted versions of itself/... using custom system prompts and user messages as needed
- user can setup an ai instance with additional compute access, which should be used only if needed
- tool calling is currently kept disabled in such a instance
- Client side Sliding window Context control, using `iRecentUserMsgCnt`, helps limit context sent to ai model
@ -116,8 +124,8 @@ A lightweight ai chat client with a web front-end that supports multiple chat se
- Follows responsive design to try adapt to any screen size
- built using plain html + css + javascript and python
- no additional dependencies that one needs to keep track of
- except for pypdf, if pdf support needed. automaticaly drops pdf tool call if pypdf missing
- no additional dependencies that one needs to worry about and inturn keep track of
- except for pypdf, if pdf support needed. automaticaly drops pdf tool call support, if pypdf missing
- fits within ~260KB even in uncompressed source form (including simpleproxy.py)
- easily extend with additional tool calls using either javascript or python, for additional functionality
@ -141,7 +149,10 @@ One can modify the session configuration using Settings UI. All the settings and
- **Ai Server** (`baseURL`)
- ai server (llama-server) address
- default is `http://127.0.0.1:PORT`
- default is `http://127.0.0.1:8080`
- **SimpleProxy Server** (`proxyUrl`)
- the simpleproxy.py server address
- default is `http://127.0.0.1:3128`
- **Stream** (`stream`)
- `true` for live streaming, `false` for oneshot
- **Client side Sliding Window** (`iRecentUserMsgCnt`)
@ -149,14 +160,14 @@ One can modify the session configuration using Settings UI. All the settings and
- `0` : only system prompt
- `>0` : last N user messages after the most recent system prompt
- **Cache Prompt** (`cache_prompt`)
- enables server‑side caching of system prompt and history
- enables server‑side caching of system prompt and history to an extent
- **Tool Call Timeout** (`toolCallResponseTimeoutMS`)
- 200s by default
- **Tool call Auto** (`autoSecs`)
- seconds to wait before auto-triggering tool calls and auto-submitting tool responses
- default is 0 ie manual
- **Trim Garbage** (`bTrimGarbage`)
- Removes repeated trailing text
- tries to remove repeating trailing text
## Debugging Tips