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feat: add litellm client adapter, JSONL flow detail, and sample output

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This commit is contained in:
Wong Ding Feng
2026-06-01 14:44:04 +08:00
parent 370853ccbf
commit 1547ed7785
18 changed files with 1523 additions and 34 deletions
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.gitignore
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# direnv
.direnv
# Secrets
.env
CLAUDE.md
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# CLAUDE.md — auto-reverse
## Active Context
- Swapped `anthropic` SDK → `litellm` for multi-provider support (OpenRouter, mimo, etc)
- Added `archive.jsonl` format to persist full request/response details
- Default model: `openrouter/xiaomi/mimo-v2.5-pro`
- Successfully reverse-engineered URA GLS APIs from `eservice.ura.gov.sg`
## Key Learnings
### JS Source Analysis Is The Real Breakthrough
The MITM proxy captures traffic but the **JavaScript source files** contain the real API documentation:
- Auth flows (JSONP tokens, Bearer headers, cookie patterns)
- Endpoint URLs and query structures
- Field names and data types
- Service registries and feature flags
**Always fetch and analyze JS source files** after capturing traffic. The files to look for:
- `*Service.js` — service-specific logic and API calls
- `Env.js` or `*Config.js` — host URLs, environment settings
- `*API.js` — auth patterns, token management
- `*Controller.js` — orchestration, service registry
### Archive Format Must Capture Everything
The original `archive.log` only saved `METHOD host/path status` — useless for replay.
The new `archive.jsonl` captures:
- Full request headers (cookies, auth tokens, referer)
- Request/query parameters
- Response headers (set-cookie, content-type)
- Response body (full JSON)
### LLM Agent Is Optional Overhead
For API reverse-engineering, the real value is:
1. **Proxy capture** (mitmproxy) — discovers endpoints
2. **JS source analysis** — reveals auth, structure, fields
3. **Standard API patterns** (ArcGIS REST, etc.) — enables replay
The LLM agent driving the browser adds cost and latency but wasn't essential for the URA workflow. Consider a "no-llm" mode that just captures + analyzes.
### Geo-blocking Awareness
Singapore government sites (URA, HDB, etc.) use Azure Application Gateway WAF that blocks non-SG IPs. The tool should:
- Detect 403 responses from WAFs and report geo-blocking
- Use the browser's context (same proxy) to fetch APIs, not direct `requests.get()`
- Document that the browser must be on an authorized IP
### ArcGIS REST Services Are Common
Government map sites often use ArcGIS REST services. Standard patterns:
```
GET /arcgis/rest/services/<name>/MapServer/<layer_id>?f=json # metadata
GET /arcgis/rest/services/<name>/MapServer/<layer_id>/query?where=1=1&outFields=*&f=json # data
GET /arcgis/rest/services/<name>/MapServer/export?... # map tiles
```
The tool should auto-detect ArcGIS endpoints and suggest these queries.
### Auth Pattern Detection Needed
The tool should automatically detect and document:
- JSONP token endpoints (strip callback wrapper, extract JWT)
- Bearer token auth headers
- Cookie-based sessions
- AWS Signature auth (different from simple Bearer)
## Improvements To Make
1. **Auto-analyze captured JS files** — extract API endpoints, auth patterns, headers
2. **Export replay scripts** — generate `requests.get()` or `curl` from captured flows
3. **ArcGIS-aware analysis** — detect MapServer endpoints, auto-query metadata
4. **Auth pattern detection** — notice JSONP tokens, Bearer headers, cookies
5. **Request/response diffing** — compare same endpoint with different params
6. **Skip LLM for simple sites** — proxy + JS analysis mode without agent
LEARNINGS.md
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# LEARNINGS.md — auto-reverse
## Session: 2026-05-31 — URA GLS API Reverse Engineering
### Environment & Config
- Server IP `185.5.132.28` is NOT in Singapore — gets 403 from SG gov sites
- `OPENROUTER_API_KEY` is in `.env`, loaded by flake.nix shellHook
- Default model changed to `openrouter/xiaomi/mimo-v2.5-pro`
- `anthropic` SDK replaced with `litellm` for multi-provider support
### Codebase Conventions
- `archive.log` is summary only; `archive.jsonl` has full request/response detail
- `CapturedFlow` model stores everything: `req_headers`, `resp_headers`, `req_body`, `resp_body`, `query`
- Tool schemas use Anthropic format (`name`, `description`, `input_schema`) — adapter converts to OpenAI format for litellm
- Tests assert default model string — update when changing model
### Business Context
- URA GLS (Government Land Sales) site at `eservice.ura.gov.sg/maps/?service=GLSRELEASE&site=1`
- Uses ArcGIS REST services on `maps.ura.gov.sg`
- Auth via OneMap JSONP tokens (`getOnemapToken`, `getOnemapLandLotToken`)
- 60+ fields per GLS parcel including location, dates, prices, development codes
- Geo-blocked to Singapore IPs via Azure Application Gateway WAF
### Key Findings — API Architecture
- **ArcGIS endpoints** (`maps.ura.gov.sg/ArcGis/rest/services/lsag/...`): No auth needed, just standard ArcGIS query params
- **OneMap APIs** (`www.onemap.gov.sg/api/...`): Need `Authorization: <jwt>` header from JSONP token endpoint
- **eService APIs** (`eservice.ura.gov.sg/ecasService/...`): Session-based, need cookies from browser
- **LandLot API** (`www.onemap.gov.sg/api/public/landlotAPI/...`): Needs AWS Signature auth (different from Bearer)
### Tool Usage Patterns
- The MITM proxy is the core value — captures all traffic automatically
- JS source files contain the real API documentation (auth flows, endpoints, fields)
- The LLM agent adds cost but wasn't essential for this workflow
- `archive.jsonl` format is critical for replay — without it, captured data is useless
- Browser must be on an authorized IP for geo-blocked sites
flake.nix
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@@ -54,6 +54,11 @@
shellHook = ''
export UV_PYTHON_PREFERENCE=managed
# Load API keys from .env if present
if [ -f .env ]; then
set -a; source .env; set +a
fi
# Set Playwright browser path (prefer system Chrome, fallback to nixpkg)
if [ -f /run/current-system/sw/bin/google-chrome ]; then
export PLAYWRIGHT_CHROMIUM_EXECUTABLE_PATH=/run/current-system/sw/bin/google-chrome
pyproject.toml
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]
requires-python = ">=3.14"
dependencies = [
"anthropic>=0.105.2",
"litellm>=1.70.0",
"genson>=1.3.0",
"mitmproxy>=12.2.3",
"playwright>=1.60.0",
"pyyaml>=6.0.3",
"botcore>=1.1.4",
]
[project.scripts]
samples/explore_apis.py
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"""Explore URA ArcGIS REST API endpoints discovered by auto-reverse."""
import json
import requests
BASE = "https://maps.ura.gov.sg/ArcGis/rest/services/lsag"
def show(label: str, url: str, params: dict | None = None):
print(f"\n{'='*60}")
print(f" {label}")
print(f" {url}")
print(f"{'='*60}")
r = requests.get(url, params=params or {}, timeout=15)
print(f"Status: {r.status_code}")
try:
data = r.json()
print(json.dumps(data, indent=2)[:3000])
except Exception:
print(r.text[:1000])
# 1. URA Sale Sites — layer metadata
show("URA Sale Sites — Layer Info", f"{BASE}/ura_sale_sites/MapServer/0")
# 2. URA Sale Sites — query all features
show(
"URA Sale Sites — All Features",
f"{BASE}/ura_sale_sites/MapServer/0/query",
{"where": "1=1", "outFields": "*", "f": "json", "resultRecordCount": "5"},
)
# 3. HDB Sale Sites — layer metadata
show("HDB Sale Sites — Layer Info", f"{BASE}/hdb_sale_sites2/MapServer/0")
# 4. HDB Sale Sites — query
show(
"HDB Sale Sites — All Features",
f"{BASE}/hdb_sale_sites2/MapServer/0/query",
{"where": "1=1", "outFields": "*", "f": "json", "resultRecordCount": "5"},
)
# 5. JTC Sale Sites — layer metadata
show("JTC Sale Sites — Layer Info", f"{BASE}/jtc_sale_sites/MapServer/0")
# 6. JTC Sale Sites — query
show(
"JTC Sale Sites — All Features",
f"{BASE}/jtc_sale_sites/MapServer/0/query",
{"where": "1=1", "outFields": "*", "f": "json", "resultRecordCount": "5"},
)
samples/first-run/API.md
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# example.com API
## General
### `GET /`
**GET /**
_Seen 1 time(s)._
samples/first-run/archive.log
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GET clients2.google.com/time/1/current 200
GET example.com/ 200
GET www.google.com/async/folae 200
POST accounts.google.com/ListAccounts 200
GET www.google.com/async/folae 200
GET safebrowsingohttpgateway.googleapis.com/v1/ohttp/hpkekeyconfig 200
GET example.com/favicon.ico 404
samples/first-run/openapi.yaml
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openapi: 3.1.0
info:
title: example.com API
version: 0.0.0
paths:
/:
get:
summary: GET /
responses:
2XX:
description: GET /
samples/ura_gls_apis.py
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"""
URA GLS API — Reverse-Engineered from JavaScript source
========================================================
Endpoints and auth flow discovered by auto-reverse from:
https://eservice.ura.gov.sg/maps/?service=GLSRELEASE&site=1
Auth flow (from OnemapAPI.js + Env.js):
1. GET eservice.ura.gov.sg/sharedServicesWeb/onemapService/getOnemapToken (JSONP)
→ returns {token: {token: "...", expiry: ...}}
2. GET eservice.ura.gov.sg/sharedServicesWeb/onemapService/getOnemapLandLotToken (JSONP)
→ returns {token: {token: "...", expiry: ...}}
3. OneMap APIs use: Authorization: <token> header
ArcGIS APIs (maps.ura.gov.sg) — NO auth needed, just geo-blocked to SG IPs.
Run from a Singapore IP.
"""
import json
import requests
# ---------------------------------------------------------------------------
# Config (from Env.js)
# ---------------------------------------------------------------------------
ESERVICE = "https://eservice.ura.gov.sg"
MAP_HOST = "https://maps.ura.gov.sg"
ONEMAP = "https://www.onemap.gov.sg"
session = requests.Session()
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Referer": f"{ESERVICE}/maps/",
"Origin": ESERVICE,
})
def dump(label, resp):
print(f"\n{'='*70}")
print(f" {label}")
print(f" {resp.url}")
print(f" Status: {resp.status_code}")
print(f"{'='*70}")
try:
data = resp.json()
print(json.dumps(data, indent=2, ensure_ascii=False)[:4000])
return data
except Exception:
print(resp.text[:2000])
return None
# ---------------------------------------------------------------------------
# Step 1: Get OneMap tokens (JSONP endpoints from OnemapAPI.js)
# ---------------------------------------------------------------------------
print("=" * 70)
print(" AUTH: Fetching OneMap tokens")
print("=" * 70)
# These are JSONP endpoints — they wrap the response in a callback function
# We need to strip the JSONP wrapper to get the JSON
def fetch_jsonp_token(url):
"""Fetch a JSONP token endpoint and extract the JSON payload."""
resp = session.get(url, timeout=15)
text = resp.text.strip()
# JSONP format: callbackName({"key":"value"})
# Strip the callback wrapper
if text.startswith("("):
text = text[1:-1]
elif "(" in text:
start = text.index("(") + 1
end = text.rindex(")")
text = text[start:end]
return json.loads(text)
try:
token_data = fetch_jsonp_token(f"{ESERVICE}/sharedServicesWeb/onemapService/getOnemapToken")
onemap_token = token_data.get("token", {}).get("token", "")
print(f" OneMap Token: {onemap_token[:50]}...")
print(f" Expiry: {token_data.get('token', {}).get('expiry', 'N/A')}")
except Exception as e:
print(f" Failed to get OneMap token: {e}")
onemap_token = ""
try:
landlot_data = fetch_jsonp_token(f"{ESERVICE}/sharedServicesWeb/onemapService/getOnemapLandLotToken")
landlot_token = landlot_data.get("token", {}).get("token", "")
print(f" LandLot Token: {landlot_token[:50]}...")
except Exception as e:
print(f" Failed to get LandLot token: {e}")
landlot_token = ""
# Set auth header for OneMap requests
if onemap_token:
session.headers["Authorization"] = onemap_token
# ---------------------------------------------------------------------------
# Step 2: ArcGIS — URA GLS Sale Sites (the main target)
# ---------------------------------------------------------------------------
print("\n" + "=" * 70)
print(" ARCGIS ENDPOINTS (maps.ura.gov.sg)")
print("=" * 70)
# Layer metadata — field names, types, etc.
dump(
"URA Sale Sites — Layer Metadata",
session.get(f"{MAP_HOST}/ArcGis/rest/services/lsag/ura_sale_sites/MapServer/0", params={"f": "json"}, timeout=15),
)
# Query — get first 5 features with all fields
dump(
"URA Sale Sites — Sample Data",
session.get(
f"{MAP_HOST}/ArcGis/rest/services/lsag/ura_sale_sites/MapServer/0/query",
params={"where": "1=1", "outFields": "*", "f": "json", "resultRecordCount": "5"},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# Step 3: ArcGIS — HDB Sale Sites
# ---------------------------------------------------------------------------
dump(
"HDB Sale Sites — Sample Data",
session.get(
f"{MAP_HOST}/ArcGis/rest/services/lsag/hdb_sale_sites2/MapServer/0/query",
params={"where": "1=1", "outFields": "*", "f": "json", "resultRecordCount": "3"},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# Step 4: ArcGIS — JTC Sale Sites
# ---------------------------------------------------------------------------
dump(
"JTC Sale Sites — Sample Data",
session.get(
f"{MAP_HOST}/arcgis/rest/services/lsag/jtc_sale_sites/MapServer/0/query",
params={"where": "1=1", "outFields": "*", "f": "json", "resultRecordCount": "3"},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# Step 5: OneMap APIs (with auth token)
# ---------------------------------------------------------------------------
print("\n" + "=" * 70)
print(" ONEMAP APIs (with Authorization header)")
print("=" * 70)
# Reverse Geocode (Orchard Road)
dump(
"OneMap Reverse Geocode",
session.get(
f"{ONEMAP}/api/public/revgeocode",
params={"location": "1.3004,103.8460", "addressType": "all", "otherFeatures": "Y"},
timeout=15,
),
)
# Land Ownership query
if landlot_token:
session.headers["Authorization"] = landlot_token
dump(
"OneMap Land Ownership",
session.get(
f"{ONEMAP}/api/public/landlotAPI/retrieveLandOwnership",
params={"latitude": "1.3004", "longtitude": "103.8460"},
timeout=15,
),
)
# Address search
if onemap_token:
session.headers["Authorization"] = onemap_token
dump(
"OneMap Address Search",
session.get(
f"{ONEMAP}/api/common/elastic/search",
params={"searchVal": "Orchard Road", "returnGeom": "Y", "getAddrDetails": "Y", "pageNum": "1"},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# Step 6: URA eService APIs (parking, session-based)
# ---------------------------------------------------------------------------
print("\n" + "=" * 70)
print(" URA eSERVICE APIs")
print("=" * 70)
dump(
"Parking Place List",
session.get(f"{ESERVICE}/ecasService/ppInfo/getParkingPlaceList.do", timeout=15),
)
dump(
"Parking Rate Availability",
session.get(f"{ESERVICE}/ecasPPService/ppInfo/getPPCurrentRateAvailability.do", timeout=15),
)
samples/ura_sample.py
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"""
URA GLS Map API — Full Sample
==============================
Shows exactly what the API returns with all headers and data.
Run from any IP (ArcGIS endpoints are publicly accessible).
"""
import json
import requests
# ---------------------------------------------------------------------------
# Config (from Env.js)
# ---------------------------------------------------------------------------
ESERVICE = "https://eservice.ura.gov.sg"
MAP_HOST = "https://maps.ura.gov.sg"
ONEMAP = "https://www.onemap.gov.sg"
session = requests.Session()
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Referer": f"{ESERVICE}/maps/",
"Origin": ESERVICE,
})
def show(label, resp):
"""Print full request/response details."""
print(f"\n{'='*70}")
print(f" {label}")
print(f"{'='*70}")
print(f" URL: {resp.url}")
print(f" Status: {resp.status_code}")
print(f"\n --- Request Headers ---")
for k, v in resp.request.headers.items():
print(f" {k}: {v}")
print(f"\n --- Response Headers ---")
for k, v in resp.headers.items():
print(f" {k}: {v}")
print(f"\n --- Response Body ---")
try:
data = resp.json()
print(json.dumps(data, indent=2, ensure_ascii=False)[:5000])
return data
except Exception:
print(resp.text[:3000])
return None
# ---------------------------------------------------------------------------
# 1. Get OneMap auth token (JSONP)
# ---------------------------------------------------------------------------
print(f"\n{'#'*70}")
print(f" STEP 1: Get OneMap Auth Token")
print(f"{'#'*70}")
token_resp = session.get(f"{ESERVICE}/sharedServicesWeb/onemapService/getOnemapToken", timeout=15)
print(f"\n URL: {token_resp.url}")
print(f" Status: {token_resp.status_code}")
print(f" Raw response (JSONP): {token_resp.text[:200]}")
# Parse JSONP
text = token_resp.text.strip()
if "(" in text:
start = text.index("(") + 1
end = text.rindex(")")
text = text[start:end]
token_data = json.loads(text)
onemap_token = token_data["token"]["token"]
print(f"\n Parsed token: {onemap_token[:60]}...")
print(f" Expiry: {token_data['token']['expiry']}")
session.headers["Authorization"] = onemap_token
# ---------------------------------------------------------------------------
# 2. URA GLS — Layer Metadata
# ---------------------------------------------------------------------------
show(
"STEP 2: URA GLS Layer Metadata (what fields exist)",
session.get(f"{MAP_HOST}/ArcGis/rest/services/lsag/ura_sale_sites/MapServer/0", params={"f": "json"}, timeout=15),
)
# ---------------------------------------------------------------------------
# 3. URA GLS — Query actual parcel data
# ---------------------------------------------------------------------------
show(
"STEP 3: URA GLS Parcels (first 3, all fields)",
session.get(
f"{MAP_HOST}/ArcGis/rest/services/lsag/ura_sale_sites/MapServer/0/query",
params={
"where": "1=1",
"outFields": "*",
"f": "json",
"resultRecordCount": "3",
},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# 4. URA GLS — Query with filter (upcoming sites only)
# ---------------------------------------------------------------------------
show(
"STEP 4: URA GLS — Filtered (SITE_STATUS = 'Launched')",
session.get(
f"{MAP_HOST}/ArcGis/rest/services/lsag/ura_sale_sites/MapServer/0/query",
params={
"where": "SITE_STATUS='Launched for Sale'",
"outFields": "NAME_GLS,LOCATION,DEVT_ALLOW,GPR,GFA,SA_SQM,LEASE_YR,DATE_LNCH,DATE_CLOSG,SITE_STATUS",
"f": "json",
"resultRecordCount": "10",
},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# 5. HDB Sale Sites
# ---------------------------------------------------------------------------
show(
"STEP 5: HDB Sale Sites (first 3)",
session.get(
f"{MAP_HOST}/ArcGis/rest/services/lsag/hdb_sale_sites2/MapServer/0/query",
params={
"where": "1=1",
"outFields": "*",
"f": "json",
"resultRecordCount": "3",
},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# 6. JTC Sale Sites
# ---------------------------------------------------------------------------
show(
"STEP 6: JTC Sale Sites (first 3)",
session.get(
f"{MAP_HOST}/arcgis/rest/services/lsag/jtc_sale_sites/MapServer/0/query",
params={
"where": "1=1",
"outFields": "*",
"f": "json",
"resultRecordCount": "3",
},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# 7. OneMap Reverse Geocode (with auth header)
# ---------------------------------------------------------------------------
show(
"STEP 7: OneMap Reverse Geocode (Orchard Road)",
session.get(
f"{ONEMAP}/api/public/revgeocode",
params={"location": "1.3004,103.8460", "addressType": "all", "otherFeatures": "Y"},
timeout=15,
),
)
# ---------------------------------------------------------------------------
# 8. Map Export URL (server-rendered map image)
# ---------------------------------------------------------------------------
print(f"\n{'#'*70}")
print(f" STEP 8: Map Export URLs (open in browser)")
print(f"{'#'*70}")
# Bounding box for Singapore (SVY21 coordinates)
# xmin,ymin,xmax,ymax
bboxes = {
"Central Singapore": "28000,30000,32000,34000",
"Full Singapore": "5000,25000,50000,50000",
}
for name, bbox in bboxes.items():
url = f"{MAP_HOST}/ArcGis/rest/services/lsag/ura_sale_sites/MapServer/export?f=image&bbox={bbox}&size=800,600&format=png&transparent=false"
print(f"\n {name}:")
print(f" {url}")
print(f"\n Open any of these URLs in your browser to see the GLS parcels map!")
src/auto_reverse/cli.py
+3 -5
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@@ -1,7 +1,6 @@
from __future__ import annotations
import argparse
import os
import sys
import threading
from datetime import UTC as DT_UTC
@@ -9,10 +8,9 @@ from datetime import datetime
from pathlib import Path
from typing import TYPE_CHECKING
from anthropic import Anthropic
from auto_reverse.agent import Agent
from auto_reverse.browser import Browser
from auto_reverse.client_adapter import LiteLLMClient
from auto_reverse.config import Config
from auto_reverse.doc.client import generate_client
from auto_reverse.doc.engine import DocEngine
@@ -42,7 +40,7 @@ def _parse_args(argv: list[str]) -> Config:
p.add_argument("--headless", action="store_true")
p.add_argument("--profile")
p.add_argument("--gen-client", action="store_true")
p.add_argument("--model", default="claude-opus-4-8")
p.add_argument("--model", default="openrouter/xiaomi/mimo-v2.5-pro")
p.add_argument("--scope", default="")
p.add_argument("--no-llm-doc", action="store_true")
p.add_argument("--resume")
@@ -93,7 +91,7 @@ def run(argv: list[str] | None = None) -> int:
if cfg.auth == "manual" and not cfg.headless:
input("Log in if needed, then press Enter to begin exploration... ")
client = Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))
client = LiteLLMClient()
registry = build_registry(browser, store, engine)
agent = Agent(client, registry, model=cfg.model, system=SYSTEM_PROMPT)
repl = Repl(agent, store, spec_path=str(out_dir / "openapi.yaml"))
src/auto_reverse/client_adapter.py
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@@ -0,0 +1,146 @@
from __future__ import annotations
import json
from typing import Any
import litellm
class TextBlock:
type: str
text: str
def __init__(self, text: str) -> None:
self.type = "text"
self.text = text
class ToolUseBlock:
type: str
id: str
name: str
input: dict[str, Any]
def __init__(self, id: str, name: str, input: dict[str, Any]) -> None: # noqa: A002
self.type = "tool_use"
self.id = id
self.name = name
self.input = input
class MessageResponse:
content: list[Any]
def __init__(self, content: list[Any]) -> None:
self.content = content
def _convert_tools(tools: list[dict[str, Any]]) -> list[dict[str, Any]]:
return [
{
"type": "function",
"function": {
"name": t["name"],
"description": t.get("description", ""),
"parameters": t.get("input_schema", {"type": "object", "properties": {}}),
},
}
for t in tools
]
def _convert_messages(system: str, messages: list[dict[str, Any]]) -> list[dict[str, Any]]:
out: list[dict[str, Any]] = [{"role": "system", "content": system}]
for msg in messages:
role: str = msg["role"]
content: Any = msg["content"]
if isinstance(content, str):
out.append({"role": role, "content": content})
continue
if not isinstance(content, list):
continue
if role == "assistant":
texts: list[str] = []
tool_calls: list[dict[str, Any]] = []
for block in content: # type: ignore[UnknownVariableType]
if not isinstance(block, dict):
continue
btype: str | None = block.get("type") # type: ignore[UnknownMemberType]
if btype == "text":
texts.append(block["text"]) # type: ignore[UnknownMemberType]
elif btype == "tool_use":
tool_calls.append({
"id": block["id"], # type: ignore[UnknownMemberType]
"type": "function",
"function": {
"name": block["name"], # type: ignore[UnknownMemberType]
"arguments": json.dumps(block["input"]), # type: ignore[UnknownMemberType]
},
})
assistant_msg: dict[str, Any] = {"role": "assistant"}
if texts:
assistant_msg["content"] = "\n".join(texts)
if tool_calls:
assistant_msg["tool_calls"] = tool_calls
assistant_msg.setdefault("content", None)
out.append(assistant_msg)
elif role == "user":
for block in content: # type: ignore[UnknownVariableType]
if not isinstance(block, dict):
continue
if block.get("type") == "tool_result": # type: ignore[UnknownMemberType]
out.append({
"role": "tool",
"tool_call_id": block["tool_use_id"], # type: ignore[UnknownMemberType]
"content": block.get("content", ""), # type: ignore[UnknownMemberType]
})
elif block.get("type") == "text": # type: ignore[UnknownMemberType]
out.append({"role": "user", "content": block["text"]}) # type: ignore[UnknownMemberType]
return out
def _build_response(raw: Any) -> MessageResponse:
choice: Any = raw.choices[0]
message: Any = choice.message
blocks: list[Any] = []
if message.content:
blocks.append(TextBlock(message.content))
if message.tool_calls:
for tc in message.tool_calls:
args: Any = tc.function.arguments
if isinstance(args, str):
args = json.loads(args)
blocks.append(ToolUseBlock(id=tc.id, name=tc.function.name, input=args))
return MessageResponse(blocks)
class _Messages:
def create(
self,
*,
model: str,
max_tokens: int,
system: str,
tools: list[dict[str, Any]],
messages: list[dict[str, Any]],
) -> MessageResponse:
openai_tools = _convert_tools(tools)
openai_messages = _convert_messages(system, messages)
raw = litellm.completion(
model=model,
max_tokens=max_tokens,
tools=openai_tools if openai_tools else None,
messages=openai_messages,
)
return _build_response(raw)
class LiteLLMClient:
"""Drop-in replacement for ``anthropic.Anthropic`` using litellm.
Supports any provider litellm knows about (OpenRouter, OpenAI, Anthropic,
Together, etc.). Set ``OPENROUTER_API_KEY`` or ``OPENAI_API_KEY`` in env.
"""
def __init__(self, **kwargs: Any) -> None:
self.messages = _Messages()
src/auto_reverse/config.py
+1 -1
View File
@@ -13,7 +13,7 @@ class Config:
headless: bool = False
profile: str | None = None
gen_client: bool = False
model: str = "claude-opus-4-8"
model: str = "openrouter/xiaomi/mimo-v2.5-pro"
scope_hosts: set[str] = field(default_factory=set[str])
no_llm_doc: bool = False
resume: str | None = None
src/auto_reverse/proxy.py
+25
View File
@@ -53,6 +53,31 @@ class CaptureAddon:
fh.write(
f"{captured.method} {captured.host}{captured.path} {captured.status}\n"
)
# Persist full flow detail to JSONL alongside the summary
detail_path = self._archive.with_suffix(".jsonl")
import json as _json
def _decode(body: bytes | None) -> str | None:
if body is None:
return None
try:
return body.decode("utf-8")
except Exception:
return body.hex()
record = {
"method": captured.method,
"host": captured.host,
"path": captured.path,
"query": captured.query,
"status": captured.status,
"req_headers": captured.req_headers,
"req_body": _decode(captured.req_body),
"resp_headers": captured.resp_headers,
"resp_body": _decode(captured.resp_body),
}
with detail_path.open("a") as fh:
fh.write(_json.dumps(record, ensure_ascii=False) + "\n")
class ProxyServer:
tests/test_cli.py
+1 -1
View File
@@ -4,7 +4,7 @@ from auto_reverse.cli import _parse_args
def test_parse_minimal():
cfg = _parse_args(["https://app.example.com"])
assert cfg.target_url == "https://app.example.com"
assert cfg.model == "claude-opus-4-8"
assert cfg.model == "openrouter/xiaomi/mimo-v2.5-pro"
assert cfg.headless is False
tests/test_config.py
+1 -1
View File
@@ -14,7 +14,7 @@ def test_config_scope_hosts_includes_target_plus_extra():
def test_default_model():
assert Config(target_url="https://x.com").model == "claude-opus-4-8"
assert Config(target_url="https://x.com").model == "openrouter/xiaomi/mimo-v2.5-pro"
def test_make_auth_returns_strategy():
uv.lock
Generated
+766 -25
View File
@@ -2,6 +2,66 @@ version = 1
revision = 3
requires-python = ">=3.14"
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[[package]]
name = "aioquic"
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