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https://github.com/blakeblackshear/frigate.git
synced 2026-06-21 03:41:55 +03:00
Include system message to not break cache
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parent
7d66d063aa
commit
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@ -1138,19 +1138,23 @@ async def chat_completion(
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)
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conversation = []
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system_prompt = build_chat_system_prompt(
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config=config,
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allowed_cameras=allowed_cameras,
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semantic_search_enabled=semantic_search_enabled,
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attribute_classifications=attribute_classifications,
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)
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conversation.append(
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{
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"role": "system",
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"content": system_prompt,
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}
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)
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# Build the system message only when the client hasn't already pinned one.
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# The first turn has no system message; we generate it (with the current
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# timestamp) and return the whole chain so the client persists it. Later
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# turns send it back verbatim, freezing the timestamp so the prompt prefix
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# stays byte-identical and the model server's prompt cache keeps hitting.
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if not body.messages or body.messages[0].role != "system":
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conversation.append(
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{
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"role": "system",
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"content": build_chat_system_prompt(
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config=config,
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allowed_cameras=allowed_cameras,
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semantic_search_enabled=semantic_search_enabled,
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attribute_classifications=attribute_classifications,
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),
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}
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)
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for msg in body.messages:
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msg_dict = {
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@ -1166,9 +1170,6 @@ async def chat_completion(
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conversation.append(msg_dict)
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# Messages appended past this point form this turn's replay record.
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turn_start_len = len(conversation)
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tool_iterations = 0
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tool_calls: list[ToolCall] = []
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max_iterations = body.max_tool_iterations
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@ -1185,12 +1186,12 @@ async def chat_completion(
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async def stream_body_llm():
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nonlocal conversation, stream_iterations
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def _emit_replay_messages(extra: Optional[list[dict[str, Any]]] = None):
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turn_messages = conversation[turn_start_len:] + (extra or [])
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def _emit_chain(extra: Optional[list[dict[str, Any]]] = None):
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# Return the full conversation (including the system message) so
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# the client persists and replays it verbatim next turn.
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chain = conversation + (extra or [])
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return (
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json.dumps({"type": "messages", "messages": turn_messages}).encode(
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"utf-8"
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)
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json.dumps({"type": "messages", "messages": chain}).encode("utf-8")
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+ b"\n"
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)
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@ -1266,14 +1267,14 @@ async def chat_completion(
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)
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conversation.extend(tool_results)
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conversation.extend(extra_msgs)
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# Running turn slice: lets the client render tool
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# Emit the running chain so the client can render tool
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# calls live and replay them verbatim next turn.
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yield _emit_replay_messages()
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yield _emit_chain()
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break
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else:
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# Streaming never appends the final assistant message
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# to the conversation, so add it to the replay slice.
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yield _emit_replay_messages(
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# to the conversation, so add it to the chain.
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yield _emit_chain(
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extra=[
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{
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"role": "assistant",
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@ -1284,7 +1285,7 @@ async def chat_completion(
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yield (json.dumps({"type": "done"}).encode("utf-8") + b"\n")
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return
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else:
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yield _emit_replay_messages()
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yield _emit_chain()
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yield json.dumps({"type": "done"}).encode("utf-8") + b"\n"
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return StreamingResponse(
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@ -1331,12 +1332,12 @@ async def chat_completion(
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if body.stream:
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final_reasoning = response.get("reasoning")
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turn_messages = conversation[turn_start_len:]
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chain = list(conversation)
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async def stream_body() -> Any:
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yield (
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json.dumps(
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{"type": "messages", "messages": turn_messages}
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{"type": "messages", "messages": chain}
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).encode("utf-8")
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+ b"\n"
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)
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@ -1375,7 +1376,7 @@ async def chat_completion(
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finish_reason=response.get("finish_reason", "stop"),
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tool_iterations=tool_iterations,
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tool_calls=tool_calls,
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messages=conversation[turn_start_len:],
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messages=list(conversation),
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).model_dump(),
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)
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@ -1408,7 +1409,7 @@ async def chat_completion(
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finish_reason="length",
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tool_iterations=tool_iterations,
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tool_calls=tool_calls,
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messages=conversation[turn_start_len:],
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messages=list(conversation),
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).model_dump(),
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)
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@ -59,9 +59,9 @@ class ChatCompletionResponse(BaseModel):
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messages: list[dict[str, Any]] = Field(
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default_factory=list,
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description=(
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"The exact conversation messages appended for this assistant turn "
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"(assistant tool-call turns, tool results, and the final assistant "
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"message). Replay these verbatim as conversation history on the next "
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"request to keep the model server's prompt cache prefix intact."
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"The full conversation chain, including the system message. Persist "
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"and replay this verbatim on the next request so the prompt prefix "
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"stays byte-identical and the model server's prompt cache keeps "
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"hitting."
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),
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)
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@ -30,7 +30,7 @@ import {
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type StreamingTurn = {
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content: string;
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reasoning: string;
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turn: ChatMessage[];
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chain: ChatMessage[];
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stats?: ChatStats;
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};
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@ -99,7 +99,7 @@ export default function ChatPage() {
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setError(null);
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setMessages(messagesToSend);
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setStreaming({ content: "", reasoning: "", turn: [] });
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setStreaming({ content: "", reasoning: "", chain: [] });
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setIsLoading(true);
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const baseURL = axios.defaults.baseURL ?? "";
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@ -112,7 +112,7 @@ export default function ChatPage() {
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const controller = new AbortController();
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abortRef.current = controller;
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let turn: ChatMessage[] = [];
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let chain: ChatMessage[] = [];
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let stats: ChatStats | undefined;
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let reasoning = "";
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let hadError = false;
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@ -130,9 +130,9 @@ export default function ChatPage() {
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s ? { ...s, reasoning: s.reasoning + delta } : s,
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);
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},
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onTurnMessages: (turnMessages) => {
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turn = turnMessages;
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setStreaming((s) => (s ? { ...s, turn: turnMessages } : s));
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onChain: (fullChain) => {
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chain = fullChain;
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setStreaming((s) => (s ? { ...s, chain: fullChain } : s));
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},
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onStats: (s) => {
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stats = s;
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@ -146,14 +146,15 @@ export default function ChatPage() {
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abortRef.current = null;
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setIsLoading(false);
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setStreaming(null);
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const lastMsg = turn[turn.length - 1];
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const lastMsg = chain[chain.length - 1];
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if (!hadError && lastMsg?.role === "assistant") {
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const committed = turn.map((m, i) =>
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i === turn.length - 1
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? { ...m, reasoning: reasoning || undefined, stats }
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: m,
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setMessages(
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chain.map((m, i) =>
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i === chain.length - 1
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? { ...m, reasoning: reasoning || undefined, stats }
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: m,
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),
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);
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setMessages((prev) => [...prev, ...committed]);
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}
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},
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defaultErrorMessage: t("error"),
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@ -228,15 +229,17 @@ export default function ChatPage() {
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const hasStarted = messages.length > 0 || streaming != null;
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// The conversation plus any in-flight turn, rendered as one flat list.
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const renderList = streaming ? [...messages, ...streaming.turn] : messages;
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// While streaming, the backend's in-flight chain is the source of truth;
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// otherwise the committed conversation is.
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const renderList =
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streaming && streaming.chain.length ? streaming.chain : messages;
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const responses = toolResponsesById(renderList);
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const streamingTail = streaming?.turn[streaming.turn.length - 1];
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const renderTail = renderList[renderList.length - 1];
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const finalShown =
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streamingTail?.role === "assistant" && hasText(streamingTail.content);
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renderTail?.role === "assistant" && hasText(renderTail.content);
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const renderMessage = (msg: ChatMessage, i: number) => {
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if (msg.role === "tool") return null;
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if (msg.role === "system" || msg.role === "tool") return null;
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if (msg.role === "user") {
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if (!hasText(msg.content)) return null;
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@ -10,7 +10,7 @@ export type WireToolCall = {
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};
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export type ChatMessage = {
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role: "user" | "assistant" | "tool";
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role: "system" | "user" | "assistant" | "tool";
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content: unknown;
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tool_call_id?: string;
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name?: string;
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@ -5,9 +5,10 @@ export type StreamChatCallbacks = {
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onContentDelta: (delta: string) => void;
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/** Streamed delta of the assistant's reasoning trace. */
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onReasoningDelta: (delta: string) => void;
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/** The exact wire messages appended for this turn so far (tool-call turns,
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* tool results, and — on the final emission — the final assistant message). */
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onTurnMessages: (messages: ChatMessage[]) => void;
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/** The full conversation chain so far (system message, history, this turn's
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* tool-call turns, tool results, and — on the final emission — the final
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* assistant message). */
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onChain: (chain: ChatMessage[]) => void;
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/** Token/timing stats for the turn. */
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onStats: (stats: ChatStats) => void;
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/** Called when the stream sends an error or fetch fails. */
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@ -52,7 +53,7 @@ export async function streamChatCompletion(
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const {
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onContentDelta,
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onReasoningDelta,
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onTurnMessages,
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onChain,
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onStats,
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onError,
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onDone,
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@ -99,7 +100,7 @@ export async function streamChatCompletion(
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return "break";
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}
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if (data.type === "messages") {
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onTurnMessages(data.messages ?? []);
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onChain(data.messages ?? []);
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return "continue";
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}
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if (data.type === "content" && data.delta !== undefined) {
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