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116524e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 | """Browser-use integration — execute step, result type, and trace converter."""
from __future__ import annotations
import logging
from dataclasses import dataclass, field
from typing import Any, List, Optional
from ..core.context import ACEStepContext
from ..implementations.prompts import wrap_skillbook_for_external_agent
logger = logging.getLogger(__name__)
try:
from browser_use import Agent, Browser
BROWSER_USE_AVAILABLE = True
except ImportError:
BROWSER_USE_AVAILABLE = False
Agent = None # type: ignore[misc,assignment]
Browser = None # type: ignore[misc,assignment]
# ---------------------------------------------------------------------------
# Input / Output types
# ---------------------------------------------------------------------------
@dataclass
class BrowserResult:
"""Output from a browser-use execution.
This is the integration-specific result — not yet in ACE trace format.
Use ``BrowserToTrace`` to convert to a standardised trace dict.
"""
task: str
success: bool
output: str = ""
error: Optional[str] = None
steps_count: int = 0
duration_seconds: Optional[float] = None
cited_skill_ids: List[str] = field(default_factory=list)
chronological_steps: List[dict] = field(default_factory=list)
raw_history: Any = None
# ---------------------------------------------------------------------------
# Execute step
# ---------------------------------------------------------------------------
class BrowserExecuteStep:
"""INJECT skillbook context and EXECUTE via browser-use Agent.
Reads a task string from ``ctx.sample``, writes a ``BrowserResult``
to ``ctx.trace``.
This is an **async** step — ``__call__`` is a coroutine because
browser-use is an async framework.
"""
requires = frozenset({"sample", "skillbook"})
provides = frozenset({"trace"})
def __init__(
self, browser_llm: Any, browser: Any = None, **agent_kwargs: Any
) -> None:
if not BROWSER_USE_AVAILABLE:
raise ImportError(
"browser-use is not installed. Install with: " "pip install browser-use"
)
self.browser_llm = browser_llm
self.browser = browser
self.agent_kwargs = agent_kwargs
async def __call__(self, ctx: ACEStepContext) -> ACEStepContext:
task: str = ctx.sample
# -- INJECT --
enhanced_task = self._inject(task, ctx.skillbook)
# -- EXECUTE --
agent_params: dict[str, Any] = {
**self.agent_kwargs,
"task": enhanced_task,
"llm": self.browser_llm,
}
if self.browser is not None:
agent_params["browser"] = self.browser
success = False
error: Optional[str] = None
history: Any = None
try:
agent = Agent(**agent_params)
history = await agent.run()
success = True
except Exception as exc:
error = str(exc)
result = self._build_result(task, history, success, error)
return ctx.replace(trace=result)
# ------------------------------------------------------------------
# Helpers
# ------------------------------------------------------------------
@staticmethod
def _inject(task: str, skillbook: Any) -> str:
if skillbook is None:
return task
context = wrap_skillbook_for_external_agent(skillbook)
if not context:
return task
return f"{task}\n\n{context}"
@staticmethod
def _build_result(
task: str,
history: Any,
success: bool,
error: Optional[str],
) -> BrowserResult:
if history is None:
return BrowserResult(task=task, success=success, error=error)
# Extract basic info
try:
output = (
history.final_result() if hasattr(history, "final_result") else ""
) or ""
except Exception:
output = ""
try:
steps_count = (
history.number_of_steps() if hasattr(history, "number_of_steps") else 0
)
except Exception:
steps_count = 0
duration: Optional[float] = None
try:
if hasattr(history, "total_duration_seconds"):
duration = round(history.total_duration_seconds(), 2)
except Exception:
pass
# Extract chronological step data
chronological: list[dict] = []
try:
if hasattr(history, "history"):
for step_idx, step in enumerate(history.history, 1):
step_data: dict[str, Any] = {"step_number": step_idx}
if step.model_output:
step_data["thought"] = {
"thinking": step.model_output.thinking,
"evaluation": step.model_output.evaluation_previous_goal,
"memory": step.model_output.memory,
"next_goal": step.model_output.next_goal,
}
if step.model_output.action:
step_data["actions"] = [
{k: v for k, v in a.model_dump().items()}
for a in step.model_output.action
]
if step.result:
step_data["results"] = [
{
"is_done": r.is_done,
"success": r.success,
"error": r.error,
"extracted_content": r.extracted_content,
}
for r in step.result
]
if step.state:
step_data["url"] = step.state.url
chronological.append(step_data)
except Exception as exc:
logger.debug("Trace extraction error: %s", exc)
# Extract cited skill IDs from agent thoughts
cited_ids: list[str] = []
try:
if hasattr(history, "model_thoughts"):
thoughts = history.model_thoughts()
thoughts_text = "\n".join(
t.thinking
for t in thoughts
if hasattr(t, "thinking") and t.thinking
)
from ..implementations.helpers import extract_cited_skill_ids
cited_ids = extract_cited_skill_ids(thoughts_text)
except Exception:
pass
return BrowserResult(
task=task,
success=success,
output=output,
error=error,
steps_count=steps_count,
duration_seconds=duration,
cited_skill_ids=cited_ids,
chronological_steps=chronological,
raw_history=history,
)
# ---------------------------------------------------------------------------
# Convert step — BrowserResult → standardised trace dict
# ---------------------------------------------------------------------------
class BrowserToTrace:
"""Convert a ``BrowserResult`` on ``ctx.trace`` to the standardised
trace dict that the learning tail (``ReflectStep``) expects.
"""
requires = frozenset({"trace"})
provides = frozenset({"trace"})
def __call__(self, ctx: ACEStepContext) -> ACEStepContext:
r: BrowserResult = ctx.trace # type: ignore[assignment]
# Build human-readable reasoning from chronological steps
parts: list[str] = []
status = "succeeded" if r.success else "failed"
parts.append(f"Browser task {status} in {r.steps_count} steps")
if r.duration_seconds is not None:
parts.append(f"Duration: {r.duration_seconds}s")
if r.output:
preview = r.output[:150] + ("..." if len(r.output) > 150 else "")
parts.append(f"\nFinal output: {preview}")
if r.error:
parts.append(f"\nFailure reason: {r.error}")
if r.chronological_steps:
parts.append("\n\n=== BROWSER EXECUTION TRACE (Chronological) ===")
for step in r.chronological_steps:
step_num = step["step_number"]
parts.append(f"\n--- Step {step_num} ---")
if "thought" in step:
thought = step["thought"]
if thought.get("thinking"):
parts.append(f"Thinking: {thought['thinking']}")
if thought.get("evaluation"):
parts.append(f" Evaluation: {thought['evaluation']}")
if thought.get("next_goal"):
parts.append(f" Next Goal: {thought['next_goal']}")
if "actions" in step:
for action in step["actions"]:
name = next(iter(action), "unknown")
parts.append(f"Action: {name}({action.get(name, {})})")
if "results" in step:
for res in step["results"]:
res_parts = []
if res.get("success") is not None:
res_parts.append(f"success={res['success']}")
if res.get("error"):
res_parts.append(f"error={res['error']}")
if res.get("extracted_content"):
res_parts.append(
f"content={str(res['extracted_content'])[:200]}"
)
parts.append(f"Result: {', '.join(res_parts)}")
if "url" in step:
parts.append(f"URL: {step['url']}")
parts.append("\n=== END EXECUTION TRACE ===")
reasoning = "\n".join(parts)
feedback = f"Browser task {status} in {r.steps_count} steps"
if r.duration_seconds is not None:
feedback += f" ({r.duration_seconds}s)"
if r.error:
feedback += f"\nError: {r.error}"
trace: dict = {
"question": r.task,
"reasoning": reasoning,
"answer": r.output,
"skill_ids": r.cited_skill_ids,
"feedback": feedback,
"ground_truth": None,
}
return ctx.replace(trace=trace)
__all__ = [
"BrowserExecuteStep",
"BrowserResult",
"BrowserToTrace",
]
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