diff --git a/.storage/assets/1767771534_1200.jpeg b/.storage/assets/1767771534_1200.jpeg new file mode 100644 index 0000000..4439b3e Binary files /dev/null and b/.storage/assets/1767771534_1200.jpeg differ diff --git a/.storage/config.json b/.storage/config.json index aae144c..bb995f7 100644 --- a/.storage/config.json +++ b/.storage/config.json @@ -1,6 +1,6 @@ { "provider": "DeepSeek", - "api_key": "", - "base_url": "https://aihubmix.com/v1", + "api_key": "sk-ca812c913baa474182f6d4e83e078302", + "base_url": "https://api.deepseek.com", "language": "Chinese" } \ No newline at end of file diff --git a/.storage/history/1767772490_council_轻小说.json b/.storage/history/1767772490_council_轻小说.json new file mode 100644 index 0000000..04ed30b --- /dev/null +++ b/.storage/history/1767772490_council_轻小说.json @@ -0,0 +1,16 @@ +{ + "id": "1767772490", + "timestamp": 1767772490, + "date": "2026-01-07 15:54:50", + "type": "council", + "topic": "轻小说", + "content": "\n\n[错误: Error code: 401 - {'error': {'message': 'Invalid token: ca812c913baa474182f6d4e83e078302 (tid: 2026010707545042546382958168401)', 'type': 'Aihubmix_api_error'}}]", + "metadata": { + "rounds": 1, + "experts": [ + "Expert 1", + "Expert 2" + ], + "language": "Chinese" + } +} \ No newline at end of file diff --git a/.storage/history/1767772724_council_轻小说.json b/.storage/history/1767772724_council_轻小说.json new file mode 100644 index 0000000..9df796a --- /dev/null +++ b/.storage/history/1767772724_council_轻小说.json @@ -0,0 +1,17 @@ +{ + "id": "1767772724", + "timestamp": 1767772724, + "date": "2026-01-07 15:58:44", + "type": "council", + "topic": "轻小说", + "content": "\n\n[错误: Error code: 400 - {'error': {'message': 'Model Not Exist', 'type': 'invalid_request_error', 'param': None, 'code': 'invalid_request_error'}}]", + "metadata": { + "rounds": 2, + "experts": [ + "Expert 1", + "Expert 2", + "Expert 3 (Synthesizer)" + ], + "language": "Chinese" + } +} \ No newline at end of file diff --git a/.storage/history/1767772840_council_轻小说.json b/.storage/history/1767772840_council_轻小说.json new file mode 100644 index 0000000..473340b --- /dev/null +++ b/.storage/history/1767772840_council_轻小说.json @@ -0,0 +1,16 @@ +{ + "id": "1767772840", + "timestamp": 1767772840, + "date": "2026-01-07 16:00:40", + "type": "council", + "topic": "轻小说", + "content": "好的。作为Expert 2，我将基于与Expert 1的讨论，整合我们双方的见解，形成一个关于构建可持续、有深度的“轻小说”生态系统的最终综合计划。\n\n### **关于“轻小说”与“玩乐关系”的综合分析与行动计划**\n\n经过讨论，我们（Expert 1 与 Expert 2）的核心共识在于：**“轻小说”的本质是一种以“玩乐关系”为核心驱动力的文化产品。** 这种关系超越了简单的阅读，构建了一个由 **“创作者-作品-读者社群-产业生态”** 共同参与的、动态的“叙事游乐场”。Expert 1 精准地指出了其“共玩”特性与边界模糊化，而我的补充则聚焦于这种关系背后的“玩家心态”与意义生产的“流动性”。\n\n我们共同认为，轻小说的挑战（如套路化、深度疑虑）与机遇（如强大的社群凝聚力、跨媒体潜力）皆根植于此。因此，我们的行动计划并非要否定或削弱这种“玩乐性”，而是旨在**引导、深化和结构化这种关系，使其朝着更健康、更具创造力与可持续性的方向发展。**\n\n以下是我们提出的三位一体具体行动计划：\n\n---\n\n### **行动计划：构建“共创式叙事游乐场”生态系统**\n\n本计划围绕三大核心参与方展开，由一个核心原则统御，旨在将松散的“玩乐关系”升级为有活力的“共创生态”。\n\n#### **核心原则：从“单向供给”到“有规则的共玩”**\n确立“作者拥有主叙事权，社群享有拓展权”的共识。官方作品提供坚实、自洽、富有弹性的“核心设定与初始剧情”（即主游戏），同时明确欢迎并预留空间给社群的二次创作与解读（即玩家自创模组）。这既保护了作品的原创引力，又激发了社群活力。\n\n#### **一、 对创作者：成为“世界架构师”与“游戏设计师”**\n1. **设计“开放世界”而非“线性赛道”**：\n * **行动**：在构思阶段，除了主线，需有意识地搭建具有扩展性的世界观底层规则（如魔力系统、社会结构）和留有“空白”的角色背景。这为读者的想象与二次创作提供了合法的“土壤”。\n * **目标**：将作品从封闭的故事，转变为可供探索的“世界”，", + "metadata": { + "rounds": 1, + "experts": [ + "Expert 1", + "Expert 2" + ], + "language": "Chinese" + } +} \ No newline at end of file diff --git a/__pycache__/app.cpython-312.pyc b/__pycache__/app.cpython-312.pyc index b73177c..e7ef545 100644 Binary files a/__pycache__/app.cpython-312.pyc and b/__pycache__/app.cpython-312.pyc differ diff --git a/app.py b/app.py index 553ef42..e424796 100644 --- a/app.py +++ b/app.py @@ -91,8 +91,9 @@ if "saved_config" not in st.session_state: def save_current_config(): cfg = { "provider": st.session_state.get("selected_provider", "AIHubMix"), - "api_key": st.session_state.get("api_key", ""), - "base_url": st.session_state.get("base_url", ""), + # read from widget keys to persist what user sees + "api_key": st.session_state.get("api_key_input", st.session_state.get("api_key", "")), + "base_url": st.session_state.get("base_url_input", st.session_state.get("base_url", "")), "language": st.session_state.get("output_language", "Chinese") } st.session_state.storage.save_config(cfg) @@ -140,35 +141,65 @@ with st.sidebar: except ValueError: prov_idx = 0 + def on_provider_change(): + # Update API key and base_url inputs when provider changes + sel = st.session_state.get("selected_provider") + if not sel: + return + prov_cfg = config.LLM_PROVIDERS.get(sel, {}) + saved_cfg = st.session_state.get("saved_config", {}) + # choose api_key from saved config if provider matches, otherwise from env + default_key = saved_cfg.get("api_key") if saved_cfg.get("provider") == sel else os.getenv(prov_cfg.get("api_key_var", ""), "") + # Always reset base_url_input to the provider's configured default when switching providers + default_base = prov_cfg.get("base_url", "") + # Set widget states + st.session_state["api_key_input"] = default_key + st.session_state["base_url_input"] = default_base + # Persist current selection + save_current_config() + selected_provider_label = st.selectbox( "选择 API 提供商", options=provider_options, index=prov_idx, key="selected_provider", - on_change=save_current_config + on_change=on_provider_change ) - - provider_config = config.LLM_PROVIDERS[selected_provider_label] - provider_id = selected_provider_label.lower() - + # Recompute provider config from current selection (use session_state to be robust) + current_provider = st.session_state.get("selected_provider", selected_provider_label) + provider_config = config.LLM_PROVIDERS.get(current_provider, {}) + provider_id = current_provider.lower() + # API Key Input - # If saved key exists for this provider, use it. Otherwise env var. - default_key = saved.get("api_key") if saved.get("provider") == selected_provider_label else os.getenv(provider_config["api_key_var"], "") - + # If widget already has a value in session_state (from previous interactions), prefer it. + default_key = ( + st.session_state.get("api_key_input") + if st.session_state.get("api_key_input") is not None and st.session_state.get("api_key_input") != "" + else (saved.get("api_key") if saved.get("provider") == current_provider else os.getenv(provider_config.get("api_key_var", ""), "")) + ) + api_key = st.text_input( - f"{selected_provider_label} API Key", - type="password", + f"{current_provider} API Key", + type="password", value=default_key, - help=f"环境变量: {provider_config['api_key_var']}", + help=f"环境变量: {provider_config.get('api_key_var', '')}", key="api_key_input" ) # Sync to session state for save callback st.session_state.api_key = api_key # Base URL - default_url = saved.get("base_url") if saved.get("provider") == selected_provider_label else provider_config["base_url"] + # Special-case: ensure DeepSeek shows its correct official base URL + if current_provider == "DeepSeek": + default_url = provider_config.get("base_url", "") + else: + default_url = ( + st.session_state.get("base_url_input") + if st.session_state.get("base_url_input") is not None and st.session_state.get("base_url_input") != "" + else (saved.get("base_url") if saved.get("provider") == current_provider else provider_config.get("base_url", "")) + ) base_url = st.text_input( - "API Base URL", + "API Base URL", value=default_url, key="base_url_input" ) @@ -446,6 +477,47 @@ if st.session_state.mode == "Deep Research": st.markdown(step['output']) st.divider() + # 追问模式（Deep Research） + st.divider() + st.subheader("🔎 追问模式 — 深入提问") + followup_q = st.text_area("输入你的追问（基于上面的综合方案）", key="research_followup_input", height=80) + if 'research_followups' not in st.session_state: + st.session_state.research_followups = [] + + if st.button("💬 追问", key="research_followup_btn") and followup_q: + # 创建客户端，优先使用最后一个专家的模型作为回复模型 + follow_model = None + try: + follow_model = experts_config[-1]['model'] if experts_config else None + except Exception: + follow_model = None + + llm = LLMClient(provider=provider_id, api_key=st.session_state.get('api_key'), base_url=st.session_state.get('base_url'), model=follow_model) + + sys_prompt = "你是一个基于先前生成的综合方案的助理，针对用户的追问进行简明、深入且行动导向的回答。" + user_prompt = f"已生成的综合方案:\n{st.session_state.research_output}\n\n用户追问:\n{followup_q}" + + placeholder = st.empty() + reply = "" + try: + for chunk in llm.chat_stream(system_prompt=sys_prompt, user_prompt=user_prompt, max_tokens=1024): + reply += chunk + placeholder.markdown(reply) + except Exception as e: + placeholder.markdown(f"错误: {e}") + + # 保存本次追问到 session（仅会话级） + st.session_state.research_followups.append({"q": followup_q, "a": reply}) + st.success("追问已得到回复") + + # 显示历史追问 + if st.session_state.research_followups: + with st.expander("查看追问历史"): + for idx, qa in enumerate(st.session_state.research_followups[::-1]): + st.markdown(f"**Q{len(st.session_state.research_followups)-idx}:** {qa['q']}") + st.markdown(f"**A:** {qa['a']}") + st.divider() + elif st.session_state.mode == "Debate Workshop": # ==================== 原始 Debate UI 逻辑 ==================== @@ -692,6 +764,38 @@ elif st.session_state.mode == "Debate Workshop": file_name="decision_report.md", mime="text/markdown" ) + + # 追问模式（Debate Workshop） + st.divider() + st.subheader("🔎 追问模式 — 基于报告的深入提问") + debate_followup_q = st.text_area("输入你的追问（基于上面的决策报告）", key="debate_followup_input", height=80) + if 'debate_followups' not in st.session_state: + st.session_state.debate_followups = [] + + if st.button("💬 追问", key="debate_followup_btn") and debate_followup_q: + # 使用生成报告时的 llm_client + llm_follow = llm_client + sys_prompt = "你是一个基于上面决策报告的助理，针对用户的追问进行简明且行动导向的回答。" + user_prompt = f"决策报告:\n{st.session_state.report}\n\n用户追问:\n{debate_followup_q}" + + ph = st.empty() + reply = "" + try: + for chunk in llm_follow.chat_stream(system_prompt=sys_prompt, user_prompt=user_prompt, max_tokens=1024): + reply += chunk + ph.markdown(reply) + except Exception as e: + ph.markdown(f"错误: {e}") + + st.session_state.debate_followups.append({"q": debate_followup_q, "a": reply}) + st.success("追问已得到回复") + + if st.session_state.debate_followups: + with st.expander("查看追问历史"): + for idx, qa in enumerate(st.session_state.debate_followups[::-1]): + st.markdown(f"**Q{len(st.session_state.debate_followups)-idx}:** {qa['q']}") + st.markdown(f"**A:** {qa['a']}") + st.divider() except Exception as e: st.error(f"发生错误: {str(e)}")