Spaces:
Sleeping
Sleeping
Moving more things over into agent_server
Browse files- agent_server/std_tee.py +102 -0
- proxy.py +1 -98
agent_server/std_tee.py
ADDED
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@@ -0,0 +1,102 @@
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import asyncio
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import io
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import json
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import re
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import threading
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from agent_server.sanitizing_think_tags import scrub_think_tags
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class QueueWriter(io.TextIOBase):
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"""
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File-like object that pushes each write to an asyncio.Queue immediately.
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"""
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def __init__(self, q: "asyncio.Queue"):
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self.q = q
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self._lock = threading.Lock()
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self._buf = [] # accumulate until newline to reduce spam
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def write(self, s: str):
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if not s:
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return 0
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with self._lock:
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self._buf.append(s)
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# flush on newline to keep granularity reasonable
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if "\n" in s:
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chunk = "".join(self._buf)
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self._buf.clear()
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try:
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self.q.put_nowait({"__stdout__": chunk})
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except Exception:
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pass
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return len(s)
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def flush(self):
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with self._lock:
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if self._buf:
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chunk = "".join(self._buf)
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self._buf.clear()
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try:
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self.q.put_nowait({"__stdout__": chunk})
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except Exception:
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pass
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def _serialize_step(step) -> str:
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"""
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Best-effort pretty string for a smolagents MemoryStep / ActionStep.
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Works even if attributes are missing on some versions.
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"""
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parts = []
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sn = getattr(step, "step_number", None)
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if sn is not None:
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parts.append(f"Step {sn}")
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thought_val = getattr(step, "thought", None)
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if thought_val:
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parts.append(f"Thought: {scrub_think_tags(str(thought_val))}")
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tool_val = getattr(step, "tool", None)
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if tool_val:
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parts.append(f"Tool: {scrub_think_tags(str(tool_val))}")
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code_val = getattr(step, "code", None)
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if code_val:
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code_str = scrub_think_tags(str(code_val)).strip()
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parts.append("```python\n" + code_str + "\n```")
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args = getattr(step, "args", None)
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if args:
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try:
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parts.append(
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"Args: " + scrub_think_tags(json.dumps(args, ensure_ascii=False))
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)
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except Exception:
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parts.append("Args: " + scrub_think_tags(str(args)))
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error = getattr(step, "error", None)
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if error:
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parts.append(f"Error: {scrub_think_tags(str(error))}")
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obs = getattr(step, "observations", None)
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if obs is not None:
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if isinstance(obs, (list, tuple)):
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obs_str = "\n".join(map(str, obs))
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else:
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obs_str = str(obs)
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parts.append("Observation:\n" + scrub_think_tags(obs_str).strip())
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# If this looks like a FinalAnswer step object, surface a clean final answer
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try:
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tname = type(step).__name__
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except Exception:
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tname = ""
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if tname.lower().startswith("finalanswer"):
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out = getattr(step, "output", None)
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if out is not None:
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return f"Final answer: {scrub_think_tags(str(out)).strip()}"
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# Fallback: try to parse from string repr "FinalAnswerStep(output=...)"
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s = scrub_think_tags(str(step))
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m = re.search(r"FinalAnswer[^()]*\(\s*output\s*=\s*([^,)]+)", s)
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if m:
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return f"Final answer: {m.group(1).strip()}"
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# If the only content would be an object repr like FinalAnswerStep(...), drop it;
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# a cleaner "Final answer: ..." will come from the rule above or stdout.
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joined = "\n".join(parts).strip()
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if re.match(r"^FinalAnswer[^\n]+\)$", joined):
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return ""
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return joined or scrub_think_tags(str(step))
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proxy.py
CHANGED
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@@ -3,7 +3,6 @@ OpenAI-compatible FastAPI proxy that wraps a smolagents CodeAgent
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"""
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import os # For dealing with env vars
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-
import re # For tag stripping
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import json # For JSON handling
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import time # For timestamps and sleeps
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import asyncio # For async operations
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@@ -13,7 +12,6 @@ import threading # For threading operations
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import fastapi
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import fastapi.responses
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import io
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import contextlib
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# Upstream pass-through
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@@ -24,6 +22,7 @@ from agent_server.formatting_reasoning import _format_reasoning_chunk, _extract_
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from agent_server.helpers import normalize_content_to_text, _messages_to_task, _openai_response, _sse_headers
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from agent_server.openai_schemas import ChatMessage, ChatCompletionRequest
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from agent_server.sanitizing_think_tags import scrub_think_tags
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from agents.code_writing_agents import (
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generate_code_writing_agent_without_tools,
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generate_code_writing_agent_with_search,
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@@ -59,102 +58,6 @@ app = fastapi.FastAPI()
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async def healthz():
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return {"ok": True}
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# ---------- Live stdout/stderr tee ----------
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class QueueWriter(io.TextIOBase):
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-
"""
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-
File-like object that pushes each write to an asyncio.Queue immediately.
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-
"""
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-
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-
def __init__(self, q: "asyncio.Queue"):
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-
self.q = q
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-
self._lock = threading.Lock()
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-
self._buf = [] # accumulate until newline to reduce spam
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-
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def write(self, s: str):
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if not s:
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return 0
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with self._lock:
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self._buf.append(s)
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-
# flush on newline to keep granularity reasonable
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-
if "\n" in s:
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-
chunk = "".join(self._buf)
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-
self._buf.clear()
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-
try:
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self.q.put_nowait({"__stdout__": chunk})
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except Exception:
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pass
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return len(s)
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-
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-
def flush(self):
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with self._lock:
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-
if self._buf:
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chunk = "".join(self._buf)
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self._buf.clear()
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try:
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self.q.put_nowait({"__stdout__": chunk})
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except Exception:
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pass
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-
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-
def _serialize_step(step) -> str:
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-
"""
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-
Best-effort pretty string for a smolagents MemoryStep / ActionStep.
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| 102 |
-
Works even if attributes are missing on some versions.
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-
"""
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-
parts = []
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-
sn = getattr(step, "step_number", None)
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-
if sn is not None:
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-
parts.append(f"Step {sn}")
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-
thought_val = getattr(step, "thought", None)
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-
if thought_val:
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parts.append(f"Thought: {scrub_think_tags(str(thought_val))}")
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-
tool_val = getattr(step, "tool", None)
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-
if tool_val:
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parts.append(f"Tool: {scrub_think_tags(str(tool_val))}")
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-
code_val = getattr(step, "code", None)
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-
if code_val:
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code_str = scrub_think_tags(str(code_val)).strip()
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parts.append("```python\n" + code_str + "\n```")
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-
args = getattr(step, "args", None)
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-
if args:
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try:
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parts.append(
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"Args: " + scrub_think_tags(json.dumps(args, ensure_ascii=False))
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)
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except Exception:
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parts.append("Args: " + scrub_think_tags(str(args)))
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error = getattr(step, "error", None)
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if error:
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parts.append(f"Error: {scrub_think_tags(str(error))}")
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-
obs = getattr(step, "observations", None)
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if obs is not None:
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if isinstance(obs, (list, tuple)):
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obs_str = "\n".join(map(str, obs))
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else:
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obs_str = str(obs)
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parts.append("Observation:\n" + scrub_think_tags(obs_str).strip())
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# If this looks like a FinalAnswer step object, surface a clean final answer
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try:
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tname = type(step).__name__
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except Exception:
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tname = ""
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if tname.lower().startswith("finalanswer"):
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out = getattr(step, "output", None)
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if out is not None:
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return f"Final answer: {scrub_think_tags(str(out)).strip()}"
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# Fallback: try to parse from string repr "FinalAnswerStep(output=...)"
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s = scrub_think_tags(str(step))
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m = re.search(r"FinalAnswer[^()]*\(\s*output\s*=\s*([^,)]+)", s)
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if m:
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return f"Final answer: {m.group(1).strip()}"
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# If the only content would be an object repr like FinalAnswerStep(...), drop it;
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# a cleaner "Final answer: ..." will come from the rule above or stdout.
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joined = "\n".join(parts).strip()
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if re.match(r"^FinalAnswer[^\n]+\)$", joined):
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return ""
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return joined or scrub_think_tags(str(step))
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# ---------- Agent streaming bridge (truly live) ----------
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async def run_agent_stream(task: str, agent_obj: typing.Optional[typing.Any] = None):
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"""
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"""
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import os # For dealing with env vars
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import json # For JSON handling
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import time # For timestamps and sleeps
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import asyncio # For async operations
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import fastapi
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import fastapi.responses
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import contextlib
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# Upstream pass-through
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from agent_server.helpers import normalize_content_to_text, _messages_to_task, _openai_response, _sse_headers
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from agent_server.openai_schemas import ChatMessage, ChatCompletionRequest
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from agent_server.sanitizing_think_tags import scrub_think_tags
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from agent_server.std_tee import QueueWriter, _serialize_step
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from agents.code_writing_agents import (
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generate_code_writing_agent_without_tools,
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generate_code_writing_agent_with_search,
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async def healthz():
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return {"ok": True}
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# ---------- Agent streaming bridge (truly live) ----------
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async def run_agent_stream(task: str, agent_obj: typing.Optional[typing.Any] = None):
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"""
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