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Update agent.py
Browse files
agent.py
CHANGED
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@@ -7,10 +7,14 @@ using LangGraph, ChatMistralAI, and MemorySaver.
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from __future__ import annotations
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import json
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import re
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from pathlib import Path
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from typing import Any, Generator
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from langchain_mistralai import ChatMistralAI
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from langgraph.checkpoint.memory import MemorySaver
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from langgraph.prebuilt import create_react_agent
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@@ -41,6 +45,25 @@ _TAXONOMY = str(ARTIFACTS_DIR / "taxonomy_mapping.json")
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_COMPARISON_CSV = str(ARTIFACTS_DIR / "abstract_vs_title_comparison.csv")
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_NARRATIVE = str(ARTIFACTS_DIR / "section7_narrative.txt")
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# System Prompt
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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@@ -509,51 +532,105 @@ class BERTopicAgent:
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stream: Any,
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history: list,
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user_msg: str,
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) -> Generator[tuple, None, None]:
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"""
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Consume a LangGraph stream, yielding Gradio 5-tuples incrementally.
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"""
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accumulated = ""
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yield (
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self.phase,
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dict(self._charts),
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list(self._downloads),
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)
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def _latest_review_rows(self) -> list[list]:
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"""Return review rows from the most recently produced artefact."""
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@@ -624,37 +701,81 @@ class BERTopicAgent:
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f"Please continue to the next B&C phase now."
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)
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accumulated = ""
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for chunk in stream:
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node_output = chunk.get("agent") or chunk.get("tools") or {}
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messages = node_output.get("messages", [])
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text_delta = "".join(list(map(
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lambda m: getattr(m, "content", "") if hasattr(m, "content") else "",
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messages,
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)))
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accumulated += text_delta
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self._update_charts(accumulated)
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self._update_downloads(accumulated)
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self.phase = _detect_phase(accumulated)
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yield (
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history + [["[Review submitted]", accumulated]],
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self.phase,
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dict(self._charts),
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list(self._downloads),
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)
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from __future__ import annotations
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import json
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import logging
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import re
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import time
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from pathlib import Path
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from typing import Any, Generator
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logger = logging.getLogger(__name__)
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from langchain_mistralai import ChatMistralAI
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from langgraph.checkpoint.memory import MemorySaver
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from langgraph.prebuilt import create_react_agent
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_COMPARISON_CSV = str(ARTIFACTS_DIR / "abstract_vs_title_comparison.csv")
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_NARRATIVE = str(ARTIFACTS_DIR / "section7_narrative.txt")
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# Rate-limit retry config
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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_RL_MAX_RETRIES = 4 # max automatic retries on 429
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_RL_BACKOFF_SECS = [15, 30, 60, 120] # wait before each retry attempt
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def _is_rate_limit(exc: Exception) -> bool:
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"""Return True when *exc* is an HTTP 429 rate-limit error from any client."""
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# httpx.HTTPStatusError carries a .response attribute
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resp = getattr(exc, "response", None)
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if resp is not None and getattr(resp, "status_code", None) == 429:
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return True
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# Fallback: inspect the string representation (handles wrapped exceptions)
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s = str(exc).lower()
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return "429" in s and ("rate limit" in s or "rate_limit" in s or "rate_limited" in s)
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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# System Prompt
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# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
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stream: Any,
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history: list,
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user_msg: str,
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_attempt: int = 0,
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) -> Generator[tuple, None, None]:
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"""
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Consume a LangGraph stream, yielding Gradio 5-tuples incrementally.
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Automatically retries on HTTP 429 (rate-limit) errors with exponential
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back-off up to _RL_MAX_RETRIES times. All other exceptions surface a
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friendly error message in the chat rather than crashing the generator.
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"""
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accumulated = ""
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try:
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for chunk in stream:
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# LangGraph yields dicts keyed by node name
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node_output = (
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chunk.get("agent") or
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chunk.get("tools") or
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{}
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)
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messages = node_output.get("messages", [])
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text_delta = "".join(list(map(
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lambda m: getattr(m, "content", "") if hasattr(m, "content") else "",
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messages,
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)))
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accumulated += text_delta
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self._update_charts(accumulated)
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self._update_downloads(accumulated)
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self.phase = _detect_phase(accumulated)
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updated_history = history + [[user_msg, accumulated]] if accumulated else history
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yield (
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updated_history,
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self.phase,
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dict(self._charts),
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list(self._downloads),
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[], # topic_rows populated in final yield
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)
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# ββ Success: final yield with review-table rows βββββββββββββββββββ
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topic_rows = self._latest_review_rows()
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yield (
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history + [[user_msg, accumulated]],
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self.phase,
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dict(self._charts),
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list(self._downloads),
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topic_rows,
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except Exception as exc: # noqa: BLE001
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if _is_rate_limit(exc) and _attempt < _RL_MAX_RETRIES:
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# ββ Rate-limit: back off then restart the stream ββββββββββββββ
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wait = _RL_BACKOFF_SECS[_attempt]
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notice = (
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f"\n\nβ³ **Mistral rate limit hit** β waiting **{wait}s** "
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f"then retrying automatically "
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f"(attempt {_attempt + 1}/{_RL_MAX_RETRIES})β¦"
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)
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logger.warning("Rate limit 429 on attempt %d; sleeping %ds", _attempt, wait)
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yield (
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history + [[user_msg, accumulated + notice]],
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"idle",
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dict(self._charts),
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list(self._downloads),
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[],
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time.sleep(wait)
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# Rebuild the stream β MemorySaver resumes from last checkpoint
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new_stream = self._graph.stream(
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{"messages": [{"role": "user", "content": user_msg}]},
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config=self._config(),
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stream_mode="updates",
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)
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yield from self._accumulate_stream(
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new_stream, history, user_msg, _attempt=_attempt + 1
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else:
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# ββ Non-retryable error: surface gracefully in chat βββββββββββ
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if _is_rate_limit(exc):
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err_header = (
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f"β **Rate limit persists after {_RL_MAX_RETRIES} retries.**\n"
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"Please wait a few minutes before sending another message."
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)
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else:
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err_header = f"β **API / tool error:** `{type(exc).__name__}: {exc}`"
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logger.exception("Unhandled error in _accumulate_stream (attempt %d)", _attempt)
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self.phase = "idle"
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yield (
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history + [[user_msg, accumulated + f"\n\n{err_header}"]],
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"idle",
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dict(self._charts),
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list(self._downloads),
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self._latest_review_rows(), # keep existing table intact
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)
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def _latest_review_rows(self) -> list[list]:
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"""Return review rows from the most recently produced artefact."""
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f"Please continue to the next B&C phase now."
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def _make_review_stream() -> Any:
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return self._graph.stream(
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{"messages": [{"role": "user", "content": review_message}]},
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config=self._config(),
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stream_mode="updates",
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accumulated = ""
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attempt = 0
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while True:
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current_stream = _make_review_stream()
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try:
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for chunk in current_stream:
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node_output = chunk.get("agent") or chunk.get("tools") or {}
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messages = node_output.get("messages", [])
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text_delta = "".join(list(map(
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lambda m: getattr(m, "content", "") if hasattr(m, "content") else "",
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messages,
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)))
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accumulated += text_delta
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self._update_charts(accumulated)
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self._update_downloads(accumulated)
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self.phase = _detect_phase(accumulated)
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yield (
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history + [["[Review submitted]", accumulated]],
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self.phase,
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dict(self._charts),
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list(self._downloads),
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# ββ Success βββββββββββββββββββββββββββββββββββββββββββββββββββ
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yield (
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history + [["[Review submitted]", accumulated]],
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self.phase,
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dict(self._charts),
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list(self._downloads),
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break # exit retry loop
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except Exception as exc: # noqa: BLE001
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if _is_rate_limit(exc) and attempt < _RL_MAX_RETRIES:
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wait = _RL_BACKOFF_SECS[attempt]
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notice = (
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f"\n\nβ³ **Rate limit hit** β waiting **{wait}s** "
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f"then retrying (attempt {attempt + 1}/{_RL_MAX_RETRIES})β¦"
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logger.warning("Rate limit 429 in handle_review attempt %d; sleeping %ds", attempt, wait)
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yield (
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history + [["[Review submitted]", accumulated + notice]],
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"idle",
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dict(self._charts),
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list(self._downloads),
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time.sleep(wait)
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attempt += 1
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# Loop re-creates the stream via _make_review_stream()
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else:
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if _is_rate_limit(exc):
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err = (
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f"β **Rate limit persists after {_RL_MAX_RETRIES} retries.**\n"
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"Please wait a few minutes before trying again."
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else:
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err = f"β **Error processing review:** `{type(exc).__name__}: {exc}`"
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logger.exception("Unhandled error in handle_review (attempt %d)", attempt)
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self.phase = "idle"
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yield (
|
| 776 |
+
history + [["[Review submitted]", accumulated + f"\n\n{err}"]],
|
| 777 |
+
"idle",
|
| 778 |
+
dict(self._charts),
|
| 779 |
+
list(self._downloads),
|
| 780 |
+
)
|
| 781 |
+
break
|