mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-11-29 08:33:20 +00:00
feat: template-based prompt rendering with dynamic namespace injection (#2091)
* feat: template-based prompt rendering with dynamic namespace injection * refactor: improve template engine initialization with clearer formatting * refactor: streamline ReActAgent methods and improve content extraction logic feat: enhance error handling in NamespaceManager and TemplateEngine fix: update NewAgent component to ensure consistent form data submission test: modify tests for ReActAgent and prompt renderer to reflect method changes and improve coverage * feat: tools namespace + three-tier token budget * refactor: remove unused variable assignment in message building tests * Enhance prompt customization and tool pre-fetching functionality * ruff lint fix * refactor: cleaner error handling and reduce code clutter --------- Co-authored-by: Alex <a@tushynski.me>
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@@ -200,13 +200,19 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
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if (agent.limited_token_mode && agent.token_limit) {
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formData.append('limited_token_mode', 'True');
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formData.append('token_limit', JSON.stringify(agent.token_limit));
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} else formData.append('token_limit', '0');
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formData.append('token_limit', agent.token_limit.toString());
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} else {
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formData.append('limited_token_mode', 'False');
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formData.append('token_limit', '0');
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}
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if (agent.limited_request_mode && agent.request_limit) {
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formData.append('limited_request_mode', 'True');
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formData.append('request_limit', JSON.stringify(agent.request_limit));
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} else formData.append('request_limit', '0');
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formData.append('request_limit', agent.request_limit.toString());
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} else {
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formData.append('limited_request_mode', 'False');
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formData.append('request_limit', '0');
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}
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if (imageFile) formData.append('image', imageFile);
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@@ -297,15 +303,22 @@ export default function NewAgent({ mode }: { mode: 'new' | 'edit' | 'draft' }) {
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formData.append('json_schema', JSON.stringify(agent.json_schema));
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}
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// Always send the limited mode fields
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if (agent.limited_token_mode && agent.token_limit) {
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formData.append('limited_token_mode', 'True');
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formData.append('token_limit', JSON.stringify(agent.token_limit));
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} else formData.append('token_limit', '0');
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formData.append('token_limit', agent.token_limit.toString());
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} else {
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formData.append('limited_token_mode', 'False');
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formData.append('token_limit', '0');
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}
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if (agent.limited_request_mode && agent.request_limit) {
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formData.append('limited_request_mode', 'True');
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formData.append('request_limit', JSON.stringify(agent.request_limit));
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} else formData.append('request_limit', '0');
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formData.append('request_limit', agent.request_limit.toString());
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} else {
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formData.append('limited_request_mode', 'False');
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formData.append('request_limit', '0');
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}
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try {
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setPublishLoading(true);
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@@ -130,7 +130,7 @@ export default function Conversation() {
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}),
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);
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handleQuestion({
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question: queries[queries.length - 1].prompt,
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question: question,
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isRetry: true,
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});
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} else {
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@@ -90,15 +90,20 @@ export default function ConversationMessages({
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setHasScrolledToLast(isAtBottom);
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}, [setHasScrolledToLast]);
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const lastQuery = queries[queries.length - 1];
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const lastQueryResponse = lastQuery?.response;
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const lastQueryError = lastQuery?.error;
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const lastQueryThought = lastQuery?.thought;
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useEffect(() => {
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if (!userInterruptedScroll) {
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scrollConversationToBottom();
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}
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}, [
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queries.length,
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queries[queries.length - 1]?.response,
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queries[queries.length - 1]?.error,
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queries[queries.length - 1]?.thought,
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lastQueryResponse,
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lastQueryError,
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lastQueryThought,
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userInterruptedScroll,
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scrollConversationToBottom,
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]);
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@@ -370,7 +370,10 @@ export const conversationSlice = createSlice({
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return state;
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}
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state.status = 'failed';
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state.queries[state.queries.length - 1].error = 'Something went wrong';
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if (state.queries.length > 0) {
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state.queries[state.queries.length - 1].error =
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'Something went wrong';
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}
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});
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},
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});
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