dongarandClaude Opus 5.5
e351d0a74e
A pure move; behaviour unchanged. - models (L9, L7): llm, catalog, probe, render, render_anthropic, context - log (L7, L6): canonical, views - state (L8): store (was state), reconcile, worker, cancel, dump - knowledge (L10, L6.4): vault, memory - conversation (L5): transport, matrix - execution (L13): ssh (was execution), testing - authority (P3, P4, L4): actions - gitea, oplog, envfile stay at the top until each gains a second module. Every import, monkeypatch target, script and doc reference rewritten. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
66 lines
2.8 KiB
Python
66 lines
2.8 KiB
Python
"""What a real model API insists on, for scripted test models.
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Both formats the agent sends require a tool call's result to come right
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after it: in Anthropic's, the next message is the user's and starts with a
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tool_result for every tool_use, before any text; in OpenAI's, the assistant
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message with tool_calls is followed directly by a tool message for each. A
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scripted model that doesn't check this lets a broken transcript pass the
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unit tests and be rejected live; this makes it fail here.
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"""
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from typing import Any
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from nisse_core.models.render import OpenAIChatRenderer
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from nisse_core.models.render_anthropic import AnthropicMessagesRenderer
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def assert_renderable(events: list[Any]) -> None:
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_anthropic(AnthropicMessagesRenderer().render(list(events), None, "m")["messages"])
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_openai(OpenAIChatRenderer().render(list(events), None, "m")["messages"])
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def _anthropic(messages: list[dict[str, Any]]) -> None:
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# A request ends on the user's side: current models refuse assistant
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# prefill ("The conversation must end with a user message"), found live
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# on 2026-10-07 when the driver's prose nudge left its own reply last.
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assert not messages or messages[-1]["role"] == "user", (
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f"anthropic messages.{len(messages) - 1}: the conversation ends with an "
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"assistant message (prefill), which the API refuses"
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)
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for index, message in enumerate(messages):
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if message["role"] != "assistant":
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continue
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used = [b["id"] for b in message["content"] if b.get("type") == "tool_use"]
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if not used:
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continue
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following = messages[index + 1] if index + 1 < len(messages) else None
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assert following is not None and following["role"] == "user", (
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f"anthropic messages.{index}: tool_use with no user message after it"
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)
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blocks = following["content"]
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leading = []
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for block in blocks:
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if block.get("type") != "tool_result":
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break
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leading.append(block["tool_use_id"])
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assert set(used) <= set(leading), (
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f"anthropic messages.{index}: tool_use ids {sorted(set(used) - set(leading))} "
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"lack a tool_result at the start of the next message"
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)
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def _openai(messages: list[dict[str, Any]]) -> None:
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for index, message in enumerate(messages):
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calls = [c["id"] for c in message.get("tool_calls") or []]
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if not calls:
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continue
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answered = []
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for after in messages[index + 1 :]:
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if after["role"] != "tool":
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break
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answered.append(after["tool_call_id"])
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assert set(calls) <= set(answered), (
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f"openai messages.{index}: tool_calls {sorted(set(calls) - set(answered))} "
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"are not answered by the tool messages right after them"
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)
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