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ai-g3sb-backman2.0/backend/utils/__pycache__/fewshot_selector.cpython-312.pyc
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first commit
2026-04-10 16:52:07 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
efd „Zed k(�réddlZej,d
¬«Zej1dd¬«ej1dd¬«ej1ded¬«ej1ded¬«ej1ddd¬«ej5«Zeej8«Zej<rƒej?«Ze d«e ded ›�«e d!ed"d#›�«e d$ed%›�«e d&«e!ed'jE«d(„¬)«dd*Z#e#D]\Z$Z%e d+e$›d,e%›�«ŒyejLrªejOejLejPejR¬-«Z*e d.ejL›d/�«e*D]\Z+e d0e+jX›d1e+jZ›d2e+j\›�«e d3e+j^›�«e d4e+j`›d5�«Œ^ye d6«yy)7u²
Refactor embedding configuration to remove local model support, transitioning to a unified remote API approach. Update environment variables and documentation accordingly. Enhance error handling in the orchestrator and related modules to reflect these changes. This update simplifies the embedding process and improves overall system reliability.
2026-04-15 09:49:18 +08:00
Few-shot示例选择器 - 基于�验数�集动�选择相关示例
first commit
2026-04-10 16:52:07 +08:00
与 Schema ��检索一致，使用 utils.embedding.get_embedder()（远程 OpenAI 兼容 API；
由 OPENAI_* / MODELSCOPE_* / DASHSCOPE_* 等环境��决定）。
用法：
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
from utils.fewshot_selector import FewShotSelector
# Chroma 模�（FEWSHOT_USE_CHROMA=true）：��传 JSONL，路径传 None 或 ""
first commit
2026-04-10 16:52:07 +08:00
selector = FewShotSelector(None)
# 或传统：FewShotSelector("data/experiences/all_samples.jsonl")
examples = selector.select(question="查询2024年1月的销售�", top_k=3)
# 在Prompt中使用
prompt = f"{examples}
Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
当�问题：{question}
first commit
2026-04-10 16:52:07 +08:00
Schema：{schema}"
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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fd„Zy)ÚExperienceSampleuç»�验数æ�®æ ·æœ¬ÚqidÚ question_zhÚ question_enÚsqlÚ explanationÚratingÚtagsÚ
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Refactor embedding configuration to remove local model support, transitioning to a unified remote API approach. Update environment variables and documentation accordingly. Enhance error handling in the orchestrator and related modules to reflect these changes. This update simplifies the embedding process and improves overall system reliability.
2026-04-15 09:49:18 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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Refactor embedding configuration to remove local model support, transitioning to a unified remote API approach. Update environment variables and documentation accordingly. Enhance error handling in the orchestrator and related modules to reflect these changes. This update simplifies the embedding process and improves overall system reliability.
2026-04-15 09:49:18 +08:00
Few-shot示例选择器
Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
根�用户问题，从�验数�集中检索最相似的示例，
用于增强Prompt，��LLM生�质�。
Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
NÚ samples_pathÚ use_cacheÚ
use_chromaÚchroma_persist_dircóŽ—|xsdj«}|r t|«nd|_g|_d|_d|_||_d|_d|_|�|n%tjdd«j«dv|_ ||_
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Args:
samples_path: 样本 JSONL 路径；**空字符串**表示�读文件（仅当 ``FEWSHOT_USE_CHROMA=true``
且 Chroma 中已有数�时�用）。构建索引�请用 ``scripts/build_fewshot_chroma_index.py --samples``。
use_cache: 是�缓存样本��（按��维度分文件，�模型会自动�建）
use_chroma: 是�使用 Chroma �久化��库；None 时读环境�� FEWSHOT_USE_CHROMA
chroma_persist_dir: Chroma 目录；None 时用 FEWSHOT_CHROMA_PATH 或默认 chroma_fewshot
rNÚFEWSHOT_USE_CHROMAÚfalse)Ú1ÚtrueÚyes)Ústriprr5ÚsamplesÚ _embedderÚ
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|j j««y )u@Chroma 模å¼�：先连å�‘é‡�库；库é�žç©ºåˆ™ä¸�å†�读 JSONL。r©Ú get_embedder)ÚFewShotChromaStore)Ú persist_diru8[Few-shot] 已从å�‘é‡�库加载（Chroma %s æ�¡ï¼Œ%s）u?Few-shot Chroma 库为空，正从 JSONL 写入å�‘é‡�索引: %sF)Ú
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
force_rebuildNu{[Few-shot] Chroma 库为空且未é…�ç½® JSONL；请è¿�è¡Œ scripts/build_fewshot_chroma_index.py 或设置 FEWSHOT_DATA_PATHuA[Few-shot] Chroma 库为空且 JSONL ä¸�存在: %s；请先ç�Œåº“u8[Few-shot] Chroma 库为空且 JSONL 无有效样本: %su'[OK] Few-shot 使用 Chroma（%s æ�¡ï¼‰)Úutils.embeddingrPÚutils.fewshot_chroma_storerQrArHrDÚcountÚloggerÚinforRrJr@r5Úbuild_from_samplesÚwarningÚexistsrBrC)r!rPrQÚns rrIz!FewShotSelector._init_chroma_modetsK€å0ÝAá%›ˆŒÙ/Ø �N‰NØ×0Ñ0ô
Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
ˆŒØˆŒÜ� ‰ Ð=¸t×?QÑ?Q×?WÑ?WÓ?YÕZrcó—|jduS)uM是å�¦ä½¿ç”¨ Chroma æŒ�久化库（`data/embeddings/chroma_fewshot` 等）。N)rDr&s rÚis_chroma_backendz!FewShotSelector.is_chroma_backend¡s€ð×!Ñ!¨Ð-Ð-rÚsampler
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required_tagsÚmax_difficultyÚ exclude_qidscó懗|r‰j|vry|r‰j�‰j|kry|dk(r‰jdk7ry|dk(r‰jdk(ry|rtˆfd„|D««syy)NFÚeasyrÚhardc3ó:•K—|]}|‰jv–—Œy­w©N©r©Ú.0Útagr_s €rÚ <genexpr>z2FewShotSelector._passes_filters.<locals>.<genexpr>¶søèø€Ð$QÁ=¸C S¨F¯K©KÔ%7Á=ùóƒT)r rrÚall)r!r_r`rarbrcs ` rÚ_passes_filterszFewShotSelector._passes_filters¦svø€ñ ˜FŸJ™J¨,Ñ6ØÙ ˜&Ÿ-™-Ð3¸¿
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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2026-04-10 16:52:07 +08:00
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返回通过筛选的**相似度最高**一�样本�分数 ``[0,1]``（与��余弦一致：1 - distance）。
无命中时返回 ``None``。
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over_fetchÚrowsÚscoreÚmetaÚdocÚsÚq_embÚscoresÚbestÚidxr_s rÚselect_best_with_scorez&FewShotSelector.select_best_with_scoreºsã€ð × Ñ Ð )Ý NàˆJØ×%Ñ%×0Ñ0°ÀÐ0ÓLˆDÛ$(Ñ ��t˜SÙ/°°cÓ:�Ø×+Ñ+Ø�z =°.À,ôðÜ— ‘ ØNØ—E‘Eܘ%“LØ—]‘]Ò( b¨$¨3Ð/ô ð œ5 ›<Ð(Ò(ð%)ðà �>‰>Ð ! T§_¡_Ð%<ÄÀDÇLÁLÓ@QÐUVÒ@VØà—‘×%Ñ%Ø
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
 M°>À<ôðÜ�e“ ˆA؈|˜q 4¨¡7›{ؘ6�{‘ð%Ið ˆ<ØÜ� ‰ Ø MØ �‰G�K‰KØ �‰GØ
first commit
2026-04-10 16:52:07 +08:00
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ð �Q‘˜˜a™Ð!Ð!rcóÜ—|j€-|jrtjd«yt d«‚|jj «sE|jr!tj
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t!|j««y#1swYŒ3xYw) ud从 JSONL 加载样本到内存（é�ž Chroma 模å¼�必需；Chroma 空库时用于首次ç�Œåº“）。NuA[Few-shot] 未é…�ç½® JSONL 路径，è¿�行时仅从 Chroma 检索uG未指定样本 JSONL 路径且未å�¯ç”¨ Chroma（FEWSHOT_USE_CHROMA）uI[Few-shot] JSONL ä¸�存在 %s，跳过文件加载，仅从 Chroma 检索u样本文件ä¸�存在: u从 JSONL 加载样本: %sÚrzutf-8)Úencodingu"[OK] 自 JSONL 加载 %s 个样本)r5r7rWrXÚ
Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
ValueErrorr[rZÚFileNotFoundErrorÚopenÚjsonÚloadsr?r@Úappendr
first commit
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rr)r!ÚfÚliners rrJzFewShotSelector._load_samples÷s€à × Ñ Ð $Ø�ŠÜ— ‘ Ð_Ô`ØÜÐfÓgÐ gà× Ñ ×'Ñ'Ô)Ø�ŠÜ—‘Ø_Ø×%Ñ%ôðÜ#Ð&=¸d×>OÑ>OÐ=PÐ$QÓRÐ Rä� ‰ Ð0°$×2CÑ2CÔDØ
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
ÃAE"Å"E+cóH—ddlm}|«|_|j«y)u9é�ž Chroma：åˆ�始化 Embedder 与内存 numpy 索引。rrON)rTrPrAÚ_build_numpy_index)r!rPs rrKz/FewShotSelector._init_embedder_and_vector_indexs€å0á%›ˆŒØ ×ÑÕ!rc ó*—|j€J‚|jjdgddd¬«}t|jd«}|jj
first commit
2026-04-10 16:52:07 +08:00
|jj ›d|›d�z |_|jr­|jj«r“ tj|j«|_ |jjd t|j«k(r?|jjd|k(r#tj!d
Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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Enhance dialog context handling for Text2SQL queries by integrating session history. Introduce new methods for summarizing previous assistant messages and determining if the last interaction was a data query. Update environment configuration for embedding options and improve error handling in SQL generation. Add user-facing delivery messages for successful SQL execution. This update supports more coherent follow-up questions and improves user experience in conversational interactions.
2026-04-14 18:02:12 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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Refactor embedding configuration to remove local model support, transitioning to a unified remote API approach. Update environment variables and documentation accordingly. Enhance error handling in the orchestrator and related modules to reflect these changes. This update simplifies the embedding process and improves overall system reliability.
2026-04-15 09:49:18 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Refine SQL output formatting in prompts to enforce pure text SQL without Markdown code fences. Allow inline comments using -- and update few-shot selector to reflect these changes in output presentation. Enhance clarity on SQL output requirements for better adherence to standards.
2026-04-16 16:40:22 +08:00
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first commit
2026-04-10 16:52:07 +08:00
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Enhance SQL generation and streaming capabilities in the API server. Introduce optional parameters for streaming throttle and SQL stream granularity in NLChatRequest. Implement new functions for iterating SQL generation content pieces and adjusting streaming behavior based on user-defined settings. Update prompts for few-shot SQL adaptation and improve logging for SQL generation processes. Refactor orchestrator methods to support streaming responses and integrate few-shot SQL conditions. Update impact analysis documentation to reflect these changes.
2026-04-16 13:48:44 +08:00
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