- _mark_finish_seen helper on the local _diag; also set on the Anthropic path when message_delta carries stop_reason - emit_stream_drop status: 'attempt N/M dropped, reconnecting' - clean-EOF log wording: server or proxy closed the stream cleanly - truncated_unreported copy drops the raw finish_reason placeholder - turn_tool_validation compares against FINISH_REASON_LENGTH
223 lines
10 KiB
Python
223 lines
10 KiB
Python
"""Tool-call validation for the conversation turn loop: unknown tool names (with
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auto-repair and the 3-strike partial exit) and malformed JSON arguments (retry, then
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recovery tool results).
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Role alternation is preserved on every path: an invalid batch is answered with tool-role
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error results (never a user message), and the exits close any open tool-result tail
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(#48879). Nothing here imports ``agent.conversation_loop`` at module level (cycle).
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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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from dataclasses import dataclass
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from typing import Any, Dict, List, Optional
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from agent.message_metadata import append_message
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from agent.message_sanitization import close_interrupted_tool_sequence, coalesce_tool_call_id
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from agent.turn_failure_copy import site_copy, stamp_failure
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from hermes_constants import FINISH_REASON_LENGTH
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logger = logging.getLogger("agent.conversation_loop")
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@dataclass
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class ToolValidationVerdict:
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"""Outcome of ``validate_tool_calls``.
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``action``: ``"ok"`` (dispatch the calls), ``"continue"`` (re-issue the API call —
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error results / retry state were recorded) or ``"return"`` (terminal partial
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result in ``result``). ``mixed_invalid_batch`` is True when the batch contains BOTH
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valid and unknown tool names: only the invalid calls get error results, the valid
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ones run."""
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action: str
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result: Optional[Dict[str, Any]]
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mixed_invalid_batch: bool
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def _preview_name(name: str) -> str:
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return name[:80] + "..." if len(name) > 80 else name
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def _append_tool_error_results(messages, tool_calls, content_for) -> None:
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"""One tool-role result per call so every tool_call keeps a matching result."""
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for tc in tool_calls:
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append_message(messages, {
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"role": "tool",
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"name": tc.function.name,
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"tool_call_id": coalesce_tool_call_id(tc),
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"content": content_for(tc),
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})
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def _partial_exit(agent, messages, conversation_history, api_call_count, final_response: str) -> Dict[str, Any]:
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"""Terminal partial result. Prior retries or an earlier tool batch leave a tool-result
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tail; close it as interrupt aborts do so the next turn is not tool→user (#48879).
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This path never reaches finalize_turn, so persist here."""
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close_interrupted_tool_sequence(messages, final_response)
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agent._persist_session(messages, conversation_history)
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return stamp_failure({
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"final_response": final_response,
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"messages": messages,
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"api_calls": api_call_count,
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"completed": False,
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"partial": True,
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"error": final_response,
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}, "truncated", True)
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def validate_tool_calls(
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agent: Any, assistant_message: Any, finish_reason: str, *, messages: List[Dict[str, Any]],
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conversation_history: Any, api_call_count: int, effective_task_id: Any,
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) -> ToolValidationVerdict:
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"""Validate ``assistant_message.tool_calls`` in place (ids uniquified, names
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repaired, dict/empty args normalized to JSON strings). Strikes for invalid names
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advance only when a turn has NO valid call, so a degenerate model still halts at
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3; args cut off mid-stream (routers rewrite ``length`` → ``tool_calls``) are refused
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outright rather than retried."""
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from agent.conversation_loop import _invalid_tool_name_error_content
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tool_calls = assistant_message.tool_calls
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valid_names = agent.valid_tool_names
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def _verdict(action: str, result: Optional[Dict[str, Any]] = None) -> ToolValidationVerdict:
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return ToolValidationVerdict(action=action, result=result, mixed_invalid_batch=_mixed_invalid_batch)
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# Uniquify duplicate tool-call ids BEFORE any downstream consumer: the
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# pre-API sanitizer keeps only the first call/result per id.
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agent._uniquify_tool_call_ids(tool_calls)
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# Repair mismatched tool names before validating (model hallucinations).
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for tc in tool_calls:
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if tc.function.name not in valid_names:
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repaired = agent._repair_tool_call(tc.function.name)
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if repaired:
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agent._vprint(f"{agent.log_prefix}🔧 Auto-repaired tool name: '{tc.function.name}' -> '{repaired}'",
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force=True, diagnostic=True)
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tc.function.name = repaired
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invalid_tool_calls = [tc.function.name for tc in tool_calls if tc.function.name not in valid_names]
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# Mixed batch: error-result ONLY the invalid calls and run the valid
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# ones; voiding the turn discards real work. Strikes advance only when a
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# turn has NO valid call, so a degenerate model still halts at 3.
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_mixed_invalid_batch = bool(invalid_tool_calls) and any(
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tc.function.name in valid_names for tc in tool_calls
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)
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if _mixed_invalid_batch:
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agent._invalid_tool_retries = 0
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_n_valid = sum(1 for tc in tool_calls if tc.function.name in valid_names)
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agent._buffer_vprint(
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f"⚠️ Unknown tool '{_preview_name(invalid_tool_calls[0])}' in batch — erroring that call, "
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f"executing {_n_valid} valid call(s)"
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)
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elif invalid_tool_calls:
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agent._invalid_tool_retries += 1
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# Return helpful error to model — model can agent-correct next turn
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invalid_preview = _preview_name(invalid_tool_calls[0])
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agent._buffer_vprint(f"⚠️ Unknown tool '{invalid_preview}' — sending error to model for agent-correction ({agent._invalid_tool_retries}/3)")
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if agent._invalid_tool_retries >= 3:
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agent._flush_status_buffer()
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agent._vprint(f"{agent.log_prefix}❌ Max retries (3) for invalid tool calls exceeded. Stopping as partial.", force=True, diagnostic=True)
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agent._invalid_tool_retries = 0
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return _verdict("return", _partial_exit(
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agent, messages, conversation_history, api_call_count,
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f"Model generated invalid tool call: {invalid_preview}",
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))
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append_message(messages, agent._build_assistant_message(assistant_message, finish_reason))
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# See _invalid_tool_name_error_content for the blank-name anti-priming rationale (#47967).
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_append_tool_error_results(
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messages, tool_calls,
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lambda tc: (
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_invalid_tool_name_error_content(tc.function.name, valid_names)
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if tc.function.name not in valid_names
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else "Skipped: another tool call in this turn used an invalid name. Please retry this tool call."
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),
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)
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return _verdict("continue")
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# Reset retry counter on successful tool call validation
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agent._invalid_tool_retries = 0
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# Validate tool call arguments are valid JSON; empty strings become empty
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# objects (common model quirk).
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invalid_json_args = []
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for tc in tool_calls:
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args = tc.function.arguments
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if isinstance(args, (dict, list)):
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tc.function.arguments = json.dumps(args)
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continue
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if args is not None and not isinstance(args, str):
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tc.function.arguments = args = str(args)
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if not args or not args.strip():
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tc.function.arguments = "{}"
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continue
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try:
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json.loads(args)
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except json.JSONDecodeError as e:
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# A mixed-batch invalid-name call never executes (error result later);
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# don't let its broken args trigger the whole-turn JSON retry.
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if not (_mixed_invalid_batch and tc.function.name not in valid_names):
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invalid_json_args.append((tc.function.name, str(e)))
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if invalid_json_args:
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invalid_names = {n for n, _ in invalid_json_args}
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# Routers may rewrite finish_reason "length" → "tool_calls", hiding
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# truncation; args not ending in } or ] (stripped) were cut off
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# mid-stream.
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_truncated = any(
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not (tc.function.arguments or "").rstrip().endswith(("}", "]"))
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for tc in tool_calls if tc.function.name in invalid_names
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)
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if _truncated:
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agent._vprint(
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f"{agent.log_prefix}⚠️ Truncated tool call arguments detected "
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f"(finish_reason={finish_reason!r}) — refusing to execute.",
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force=True, diagnostic=True,
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)
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agent._invalid_json_retries = 0
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agent._cleanup_task_resources(effective_task_id)
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# Blame the output cap only when the model reported one; otherwise the args
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# were cut by a stream break or a router rewriting finish_reason (#91717).
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_copy = (
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site_copy("truncated") if finish_reason == FINISH_REASON_LENGTH
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else site_copy("truncated_unreported")
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)
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return _verdict("return", _partial_exit(
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agent, messages, conversation_history, api_call_count, _copy,
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))
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agent._invalid_json_retries += 1
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tool_name, error_msg = invalid_json_args[0]
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agent._buffer_vprint(f"⚠️ Invalid JSON in tool call arguments for '{tool_name}': {error_msg}")
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if agent._invalid_json_retries < 3:
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agent._buffer_vprint(f"🔄 Retrying API call ({agent._invalid_json_retries}/3)...")
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# Don't add anything to messages, just retry the API call
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return _verdict("continue")
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# Instead of returning partial, inject tool error results so the model can recover.
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# Using tool results (not user messages) preserves role alternation.
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agent._buffer_vprint("⚠️ Injecting recovery tool results for invalid JSON...")
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agent._invalid_json_retries = 0 # Reset for next attempt
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# Append the assistant message with its (broken) tool_calls, then one
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# error result per call.
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append_message(messages, agent._build_assistant_message(assistant_message, finish_reason))
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def _json_error_result(tc) -> str:
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if tc.function.name not in invalid_names:
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return "Skipped: other tool call in this response had invalid JSON."
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err = next(e for n, e in invalid_json_args if n == tc.function.name)
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return (
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f"Error: Invalid JSON arguments. {err}. "
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f"For tools with no required parameters, use an empty object: {{}}. "
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f"Please retry with valid JSON."
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)
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_append_tool_error_results(messages, tool_calls, _json_error_result)
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return _verdict("continue")
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# Reset retry counter on successful JSON validation
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agent._invalid_json_retries = 0
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return _verdict("ok")
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