abstract_toolserver
The abstract_* ecosystem exposed as an API-callable AI toolset — every tool
is a plain Python function turned into a self-describing HTTP endpoint by
abstract_flask. A portable
tool layer any model (Claude, hugpy, …) can drive over HTTP instead of being
bound to one runtime's tool harness.
Run it
pip install abstract_toolserver # + the extras you want to expose
python -m abstract_toolserver # HOST/PORT/DEBUG from TOOLSERVER_* env
from abstract_toolserver import get_toolserver_app
app = get_toolserver_app() # a normal Flask/WSGI app
Self-describing surface
The app auto-mounts introspection endpoints (from abstract_flask):
| Endpoint | What it gives an LLM |
|---|---|
GET /prefixes |
the tool categories (/fs, /db, /ui, …) |
GET /endpoints |
every tool as {endpoint, url, methods} |
GET /<cat>/<tool>?help=true |
that tool's signature/help |
Call a tool with JSON; unknown keys are pruned to the function signature, and the
reply is {"result": ...} (or {"error": ...}). Discover-and-dispatch from a
client is already provided by abstract_apis.make_endpoint_call.
curl -s localhost:5000/fs/count_tokens -d '{"text":"hello world"}'
# {"result": 2}
curl -s localhost:5000/db/schema # {"result": {table: [cols...]}}
curl -s 'localhost:5000/db/query?help=true'
Tool categories
| Prefix | Tools | Backend |
|---|---|---|
/fs |
search, read_span, extract, read_file, write_file, read_json, find_keys, find_paths, glob, imports, find_content | abstract_search, abstract_utilities, abstract_paths |
/text |
count_tokens, chunk, detect_language | abstract_utilities |
/web |
text, links, attributes | abstract_webtools |
/media |
ocr_image, pdf_text, summarize, keywords, transcribe | abstract_ocr, abstract_pandas, media_intelligence |
/ai |
query | abstract_ai |
/db |
tables, schema, columns, fetch, query | abstract_database |
/sys |
run_cmd | stdlib (gated) |
/ui |
capture, monitors, ocr, windows, click_verify | abstract_clicks, abstract_windows |
Safety gates
Backends load lazily, so the server boots on a headless box and a missing backend errors only when its tool is called. Beyond that:
/db/query— read-only gate: rejects anything that isn't a singleSELECT/WITH, blocks stacked statements and data-modifying keywords. Use/db/fetch(identifier-composed, params-not-SQL) as the default read path./sys/run_cmd— disabled unlessTOOLSERVER_CMD_ALLOWLIST=ls,grep,…is set; only allowlisted binaries run./fs/read_file·/fs/write_file— local-only; the underlying SSH/remote kwargs are never exposed at the boundary./ui/click_verify— the click→observe→verify loop: locate (text or image template) → click → re-capture → report whether the screen (or aregion) changed. The half most tool APIs lack.
Configuration
| Env var | Purpose |
|---|---|
TOOLSERVER_HOST / TOOLSERVER_PORT / TOOLSERVER_DEBUG |
bind + debug |
TOOLSERVER_CMD_ALLOWLIST |
comma-separated binaries /sys/run_cmd may run |
SOLCATCHER_POSTGRESQL_* |
DB connection (via abstract_database) |
1 maintainer
Metadata
1 maintainer
Release files for abstract-toolserver 0.0.23
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abstract_toolserver-0.0.23-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 91.4 kB
Release files / abstract_toolserver-0.0.23.tar.gz
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