From 0dd181356e448ff1fa93be3b912414115819c6ec Mon Sep 17 00:00:00 2001 From: Yiorgis Gozadinos Date: Fri, 6 Feb 2026 16:44:59 +0100 Subject: [PATCH] Update vcr --- .../test_chat_agent_ask_emits_qa_state.yaml | 1665 ----------------- ...lExecution.test_get_document_by_title.yaml | 82 + ...oolExecution.test_get_document_by_uri.yaml | 82 + ...Execution.test_get_document_not_found.yaml | 82 + ...ion.test_get_document_tracks_in_state.yaml | 82 + ...cution.test_list_documents_pagination.yaml | 82 + ...t_documents_returns_paginated_results.yaml | 82 + ....test_list_documents_with_base_filter.yaml | 82 + ...ment_toolset_returns_function_toolset.yaml | 82 + ...t_document_toolset_has_expected_tools.yaml | 82 + ...test_document_toolset_registers_state.yaml | 82 + ...tion.test_search_accumulates_in_state.yaml | 122 ++ ...tion.test_search_multiple_accumulates.yaml | 162 ++ ...test_search_returns_formatted_results.yaml | 122 ++ ...xecution.test_search_with_base_filter.yaml | 122 ++ ...ToolExecution.test_search_with_filter.yaml | 122 ++ ...Execution.test_search_with_no_results.yaml | 42 + ...Execution.test_search_without_context.yaml | 122 ++ ...arch_toolset_returns_function_toolset.yaml | 82 + ...t.test_search_toolset_has_search_tool.yaml | 82 + ...t.test_search_toolset_registers_state.yaml | 82 + ...st_search_toolset_uses_existing_state.yaml | 82 + tests/tools/test_document.py | 2 + tests/tools/test_search.py | 2 + 24 files changed, 1966 insertions(+), 1665 deletions(-) delete mode 100644 tests/cassettes/test_chat_agent/test_chat_agent_ask_emits_qa_state.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_title.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_uri.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_not_found.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_tracks_in_state.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_pagination.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_returns_paginated_results.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_with_base_filter.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolset.test_create_document_toolset_returns_function_toolset.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_has_expected_tools.yaml create mode 100644 tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_registers_state.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_accumulates_in_state.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_multiple_accumulates.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_returns_formatted_results.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_base_filter.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_filter.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_no_results.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_without_context.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolset.test_create_search_toolset_returns_function_toolset.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_has_search_tool.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_registers_state.yaml create mode 100644 tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_uses_existing_state.yaml diff --git a/tests/cassettes/test_chat_agent/test_chat_agent_ask_emits_qa_state.yaml b/tests/cassettes/test_chat_agent/test_chat_agent_ask_emits_qa_state.yaml deleted file mode 100644 index 90f4f30f..00000000 --- a/tests/cassettes/test_chat_agent/test_chat_agent_ask_emits_qa_state.yaml +++ /dev/null @@ -1,1665 +0,0 @@ -interactions: -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '730' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - encoding_format: base64 - input: - - |- - DocLayNet Dataset - Class Labels - DocLayNet defines 11 distinct class labels for document layout analysis: - 1. Caption - Text describing figures or tables - 2. Footnote - Notes at the bottom of pages - 3. Formula - Mathematical expressions - 4. List-item - Items in bulleted or numbered lists - 5. Page-footer - Footer content on pages - 6. Page-header - Header content on pages - 7. Picture - Images and diagrams - 8. Section-header - Headings for document sections - 9. Table - Tabular data - 10. Text - Regular paragraph text (highest count: 510,377 instances) - 11. Title - Document titles - The Text class has the highest count with 510,377 instances in the dataset. - model: qwen3-embedding:4b - uri: http://localhost:11434/v1/embeddings - response: - headers: - content-type: - - application/json - transfer-encoding: - - chunked - parsed_body: - data: - - embedding: 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 - index: 0 - object: embedding - model: qwen3-embedding:4b - object: list - usage: - prompt_tokens: 166 - total_tokens: 166 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '5237' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a helpful research assistant powered by haiku.rag, a knowledge base system. - - You have access to a knowledge base of documents. Use your tools to search and answer questions. - - CRITICAL RULES: - 1. For greetings or casual chat: respond directly WITHOUT using any tools - 2. For questions: Use the "ask" tool EXACTLY ONCE - it automatically uses prior conversation context - 3. For searches: Use the "search" tool EXACTLY ONCE - it handles multi-query expansion internally - 4. NEVER call the same tool multiple times for a single user message - 5. NEVER make up information - always use tools to get facts from the knowledge base - - How to decide which tool to use: - - "list_documents" - Use when the user wants to browse or see what documents are available (e.g., "what documents are available?", "show me the documents", "list available docs"). - - "summarize_document" - Use when the user wants an overview or summary of a specific document (e.g., "summarize document X", "what does Y cover?", "give me an overview of Z"). - - "get_document" - Use when the user wants the FULL content of a specific document (e.g., "get the paper about Y", "fetch 2412.00566", "show me the full document"). - - "ask" - Use for questions about topics in the knowledge base. It automatically finds relevant prior answers from conversation history and searches across documents to return answers with citations. - - "search" - Use when the user explicitly asks to search/find/explore documents. Call it ONCE. After calling search, copy the ENTIRE tool response to your output INCLUDING the content snippets. Do NOT shorten, summarize, or omit any part of the results. - - IMPORTANT - When user mentions a document in search/ask: - - If user says "search in ", "find in ", "answer from ", or " in ": - - Extract the TOPIC as `query`/`question` - - Extract the DOCUMENT NAME as `document_name` - - Examples for search: - - "search for embeddings in the ML paper" → query="embeddings", document_name="ML paper" - - "find transformer architecture in 2412.00566" → query="transformer architecture", document_name="2412.00566" - - Examples for ask: - - "what does the ML paper say about embeddings?" → question="what are the embedding methods?", document_name="ML paper" - - "answer from 2412.00566 about model training" → question="how is the model trained?", document_name="2412.00566" - - Be friendly and conversational. When you use the "ask" tool, summarize the key findings for the user. - role: system - - content: What is the highest count class in the DocLayNet dataset? - role: user - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: |- - Search the knowledge base for relevant documents. - - Use this when you need to find documents or explore the knowledge base. - Results are displayed to the user - just list the titles found. - name: search - parameters: - additionalProperties: false - properties: - document_name: - anyOf: - - type: string - - type: 'null' - default: null - description: Optional document name/title to search within - limit: - anyOf: - - type: integer - - type: 'null' - default: null - description: 'Number of results to return (default: 5)' - query: - description: The search query (what to search for) - type: string - required: - - query - type: object - type: function - - function: - description: |- - Answer a specific question using the knowledge base. - - Use this for direct questions that need a focused answer with citations. - Uses a research graph for planning, searching, and synthesis. - name: ask - parameters: - additionalProperties: false - properties: - document_name: - anyOf: - - type: string - - type: 'null' - default: null - description: Optional document name/title to search within (e.g., "tbmed593", "army manual") - question: - description: The question to answer - type: string - required: - - question - type: object - type: function - - function: - description: |- - List available documents in the knowledge base. - - Use this when the user wants to browse or see what documents are available. - name: list_documents - parameters: - additionalProperties: false - properties: - page: - default: 1 - description: 'Page number (default: 1, 50 documents per page)' - type: integer - type: object - type: function - - function: - description: |- - Retrieve a specific document by title or URI. - - Use this when the user wants to fetch/get/retrieve a specific document. - name: get_document - parameters: - additionalProperties: false - properties: - query: - description: The document title or URI to look up - type: string - required: - - query - type: object - strict: true - type: function - - function: - description: |- - Generate a summary of a specific document. - - Use this when the user wants an overview or summary of a document's content. - name: summarize_document - parameters: - additionalProperties: false - properties: - query: - description: The document title or URI to summarize - type: string - required: - - query - type: object - strict: true - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '522' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: tool_calls - index: 0 - message: - content: '' - reasoning: Need ask. - role: assistant - tool_calls: - - function: - arguments: '{"document_name":null,"question":"What is the highest count class in the DocLayNet dataset?"}' - name: ask - id: call_eolhkv9k - index: 0 - type: function - created: 1769804649 - id: chatcmpl-937 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 43 - prompt_tokens: 1033 - total_tokens: 1076 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '1766' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are the research orchestrator planning the investigation. - - If a section is provided, use it to understand the conversation context. - - Your task: - 1. Analyze the original question - 2. Propose the first question to investigate - - For simple questions, investigate them directly. For composite or complex questions, - you may decompose into a focused sub-question. For example: - - "What are the benefits and drawbacks of X?" → Start with "What are the benefits of X?" - - Ambiguous references should be resolved using background context if available - - Output requirements: - - Set is_complete=False (you are just starting the investigation) - - Set next_question to the question to investigate - - Provide brief reasoning explaining your choice - - The question must be standalone and self-contained: - - Include concrete entities, scope, and any qualifiers - - Avoid ambiguous pronouns (it/they/this/that) - role: system - - content: |- - Plan the research investigation. - - - What is the highest count class in the DocLayNet dataset? - - role: user - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: Output from iterative planning step. - name: final_result - parameters: - additionalProperties: false - properties: - is_complete: - description: Whether research is complete and can be synthesized - type: boolean - next_question: - anyOf: - - type: string - - type: 'null' - default: null - description: Next question to investigate, if not complete - reasoning: - description: Brief explanation of the decision - type: string - required: - - is_complete - - reasoning - type: object - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '1032' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: tool_calls - index: 0 - message: - content: '' - reasoning: 'Need first sub-question: what are class definitions? highest count means class with most examples. Ask: - "What are the class labels and their example counts in DocLayNet?" That gives data.' - role: assistant - tool_calls: - - function: - arguments: '{"is_complete":false,"next_question":"Provide the list of all class labels in the DocLayNet dataset - along with the number of examples for each class.","reasoning":"The user asks for the highest count class; - we need the class counts first. The next question should gather class distributions from the DocLayNet dataset. - This is a concise, self‑contained query that directly addresses the missing information."}' - name: final_result - id: call_wubtp1az - index: 0 - type: function - created: 1769804655 - id: chatcmpl-168 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 140 - prompt_tokens: 374 - total_tokens: 514 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '2901' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a search and question-answering specialist. - - Process: - 1. Call search_and_answer with relevant keywords from the question. - 2. Review the results ordered by relevance. - 3. If needed, perform follow-up searches with different keywords (max 3 total). - 4. Provide a concise answer based strictly on the retrieved content. - - The search tool returns results like: - [9bde5847-44c9-400a-8997-0e6b65babf92] [rank 1 of 5] - Source: "Document Title" > Section > Subsection - Type: paragraph - Content: - The actual text content here... - - [d5a63c82-cb40-439f-9b2e-de7d177829b7] [rank 2 of 5] - Source: "Another Document" - Type: table - Content: - | Column 1 | Column 2 | - ... - - Each result includes: - - chunk_id in brackets and rank position (rank 1 = most relevant) - - Source: document title and section hierarchy (when available) - - Type: content type like paragraph, table, code, list_item (when available) - - Content: the actual text - - Output format: - - query: Echo the question you are answering - - answer: Your concise answer based on the retrieved content - - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects) - - confidence: A score from 0.0 to 1.0 indicating answer confidence - - IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs. - - Guidelines: - - Base answers strictly on retrieved content - do not use external knowledge. - - Use the Source and Type metadata to understand context. - - If multiple results are relevant, synthesize them coherently. - - If information is insufficient, say so clearly. - - Be concise and direct; avoid meta commentary about the process. - - Results are ordered by relevance, with rank 1 being most relevant. - role: system - - content: Provide the list of all class labels in the DocLayNet dataset along with the number of examples for each - class. - role: user - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: Search the knowledge base for relevant documents. - name: search_and_answer - parameters: - additionalProperties: false - properties: - limit: - anyOf: - - type: integer - - type: 'null' - default: null - query: - type: string - required: - - query - type: object - type: function - - function: - description: Answer to a search query with chunk references. - name: final_result - parameters: - additionalProperties: false - properties: - answer: - description: The answer to the question - type: string - cited_chunks: - description: IDs of chunks used to form the answer - items: - type: string - type: array - confidence: - default: 1.0 - description: Confidence score for this answer (0-1) - maximum: 1.0 - minimum: 0.0 - type: number - query: - description: The question that was answered - type: string - required: - - query - - answer - type: object - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '507' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: tool_calls - index: 0 - message: - content: '' - reasoning: Need search. - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet class labels number of examples"}' - name: search_and_answer - id: call_z9248skz - index: 0 - type: function - created: 1769804658 - id: chatcmpl-497 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 39 - prompt_tokens: 638 - total_tokens: 677 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '111' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - encoding_format: base64 - input: - - DocLayNet class labels number of examples - model: qwen3-embedding:4b - uri: http://localhost:11434/v1/embeddings - response: - headers: - content-type: - - application/json - transfer-encoding: - - chunked - parsed_body: - data: - - embedding: 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sDuTwCg87g9lvEOqEbxxX8U8s2XDPOawzjwuT3g8ktZ2uvRqkDwAWem6Wc6vO7OoWb3cBME71NlpO4YWhbw+RpG7bsN2vK6NCryPlSK7h8nfu1D4cjzvy606RhgDPKHeZzxDcDm9qtlUPCKNnzyAFoC79euIPObnj7zsala7/S38OxPX+bvEXYq8Ko+nu2efGbybd5S7NVwnPJUj9LuCLd48OC+OOgJGSLmM5aO8SjPSuzuMhjz/Lr87g+heOsTIQL1lN5Y68ZhXPCLoKTwWAjQ7YExlvFbpgzuiG4851v4EuV7nxTxiBFs9O3TFPCZVkDxdj5A7QDIiPOG7S721L948t39SuzvNvLtr4Uu8XocPvQR03zw7s+e7P3eBPMGI07wR/YG8VR+Qu2Slj7tkqko8GXvZvPx2zryyqGI81WQDPaXdMbytQ/w8EA7MOxlcoLtQObC7JtxWPJXmmjzCjJ451mQUPSF30TxmRGm7Fjg5PaHofDs2hOc8a4M7vQCK+zg5Kkw8FbgMPKtNRbzIfiS8Z8B4u0Bl87wXwAy7apjaPO/9HTwyuKW8RPp6vDbkrzsRxsk7ugiTvLdwV7v4Tum7zhKXO0NjnTyDCj470CC7PAGn+rx+j4S8MZlOPGxT/Tv+tDq87na/PKCXnrpT4K+753HMPGcpGr3/2oq74rlMvdTwhrsgPSE8Ao2Au6GNADyGg7G85EQcPR/ZSrzwZN67GpvPO8WqGr1nd7S8zugGvQpRg7xVItW7WZUjvIAY5jtZPGK81Iadu6PukrtX9pU8dzgkPIzABztvlzM6YIOGPFv9uzzaORs8qVqsPPRfL7zCKgM9Sk02vEnh2Lz37YS8+WOYvPKSg7zBOC28o6xwu9/FLbxNhs+7LEYZvVNjW7zALag8TxhrOjY6TjxnrMg8AVA5vX/YsjwBxDS86fwtPBdbH7zy1468S8AFvcw2Fb16oo+8IKD3vE6BWTw7z0I8S1qCvEbeFj3zfH06SQ+Iu8zqjjyzWTi71+4MvD+RyTyOgjG9VnQCPDpncDyYsJy8a7WLPFmAtzsMknK8qw9IPB4qVjxeY8W8XKetvKJKZrzWdHA8YuXqvHtVmTxnl4w89O4cu7v+4zywQa08clmpuZU9BL3fZ3g7Btx1PAeOjzw+fYu7swjHOweIKjzzN3c8bYMQPQLaajzzfH+8O0qwugDwpLpnayG8wnPGvNxZTjxuDRy74K/qu75wiTv26R+7uw09O6GTr7wpdrw8v4PePHw+OzshOco60PFyPIh0NrzlBhK81mfmvKhqzbtO2EK6r9NEPYQTxrtuC/u8YNc1PeZX2Dult948h46LvCPj5TwIWBQ9B+Y/u1l/hTx0JAy9qgdgPAShX7w3oB283Wn2u7Pqgr0Wrru8qT05u/NWEr0yLW6727IFvVwvSDs4MS263I/cvH3NjbuDCUa8lVE+PRHn5zq8Ng27acm3vFl7tTvf1r67utICPH/HDz1MjKe80FpbPGNm5LydXka8gtFmvM+UwDwqOQa81KS0vIbjpLwpQrU8u7YfPURO1zwfX/46ZnwJPQ/g6jw404c8uTLNO1cF57wLxUQ8ynvzuzR4kDuvEc081jT+uwJnvbrtU6A7fDwZPbeCpLz+TD09X/2luzi9ELvWyX88ToOHvEYJx7sxame95PmiPPlK37ybFAu8GWeQuENTVrxBbc86Rw4JvClEVbucvks9STiqvBZZljsWxum8BuZBPDMhyDwdLbm6UbvlPGY9irw+s+m8jYsCOiAk7Dwuq+C86FTcPP6N8zwl3xu83e/svEnVDTw5zga8LvNouxKPLL1sTHo8ih+xu8ebEDzCcV67qB1Jul2LgrsveN28mjKpPGj5BrwwX/+892aVPBHrODvT9k69lJ5ovIZDIL2Kjbw7tNJBPA3fljvi4zY8WEZMvHkBzbx51HU8vnIZuq/tdTvFAHA8VVcVveljxDy6PMq7hwwxvJBccTxBMWQ8vMr8vONkWbhsnYW7m6O7PC8VGr2oyN68BxL3vF65Br12gZC8+hLOugo/KzzlXgM8VXbHuhEqU7tkr6q7IiOFOx/ckjsi7si8/gWru8FWATzb+R48/CEvOzSaIz1R/au8Avw7PPopCT10WCs882g3Pb3ujrztJCq9LioJvKe18LwTKqo82G+JvEgbFDxq6Vy9Ni2QPANGHLyqueC8M/Y1PKG8ODwFxo87ZrybPA1PyTyzD748wIPUO43pvzvuBhO8O7LiOtx5TzygeYK8g3eSPNSLm7ukFks8mGIgO34FvzxsGkM8YxOxvIHmRrqcgcs8nwlJO5vV8rxLtJ28hupTvBcSKzyGHmC8QbsDPX/uE716IKy80Nq8Osf7sDvEqIE8dG2vOwirazy9FTQ9elhNvSq65DybZ927tmk2PI6vaLsyV6C7GA/LvDtfGT1D3uY8rCwkvf13/TybTCQ80jyOvNA1mztD9iU8/9gCOydAA71vwu48SWDSO6X0ObwI1wQ90zsIPSZR17xiP0S8ambmvJ9iHD21hR69jCtHvFFn2ruu7sa8obXmPPHqMrxsOzm8z/Xhu2sIGzyBlSq98mLNvJEkVLwCOS489bxOvK7fTzwQcQ+8W6a8O5nglDp3wUy8rbiCvIne27y5Xkq8Ku3rO6SWKDyF4H07dhCcO4j9qzxwwqs7lEqKvDp8rLzyhAE92zTMu+R+pbzA5E68WfScOxhngbtr3cI8y+1ZPEFVwry06Ra6vpMsPad6Ozy6Nky838exPEw5Dr3pvLS8MD6RPK5YULuWzbS7pkFAPMyQfrwxpXK7FggkPfXDmry93c68JbHRvE2eCbxnXKC8Og6zvNn6wzyZPjA80HTTu8vyDLwIhoc85+T/OwG4nbyD8pI72jPevFDSdzw4AyC8Ms/tPBgfQLx3StK81DgKPaMUDjqmDhw8oEuDPKKydTzFwHG8JUIOO5u/OTzowJa8lSevPBXCzbx3vY+8fQENvWD+kjvefCK9VgRTPKDgUbtyKEq8QfzIu34GobyXGbS8KZDqOhqX4zuDVUI80uHFO/M4Yby+HLi8pOXGPKMErDxO8Xq8ZMzgu3uslDs1cpC5cTjeu+B8Drzbtnw67J7KvOkLRju5sNy8tkd1OhBnTTsjmQk9NcX+uTj0EbzHzHg8KDqIPIzpNbz/XjK7+hDfvHMNZbw1RqS8NgXFu7pJiDyB1SE9uOumu4yatjwx7qc7mhVNOyozhztizAW8k9CMvKTFijwBJI889FhgPIyDBTsAMpw6iPvCvOOoIT08bkM7lfJYvS05ZTzoZ6c8kHuHu/igtDwm9ZQ8F7glvA2/az3KGhe9xopyvFVZbLxVdY46dbKXvGoHCzx/Tv66rlipO00U37zAghY8yY6kOwiibbvTrxc8REfCPF4jjTqm43w7mWuwPPguxjukMQg9GfJ5u8B5tLvqoby7S3w8uwTLIDw6NbE8PrgpPBR/37z3opy53cTYOzygkLhmrwy7kddYPH7MhTyi+W68Q+2vul4OLDziaCw9gzb7PKb+ibw2M7+8hdgIvIIxYD0Q8g29culLvPYiTzw/1Q290T3KvJwe+7uIjKE7lNQFu7ooszrPxSQ9kluJvOsYfLydCla7Im1kPBEYBD1a7q087upXPUP4cjxZp1S8D37IvKnDkDwvaR89W8qBuwcKqzu01tw8AOZLO4ilIz05r4W8c/xOvKkyJ7z/gxq8RiTTucaqsrzycA49IoPSu0B9fLx/cJo87nQvvDwOnjwfvTK9dZOfvATrSL0pCWC7ky62PBUmODz5efQ6QwfnPLGJYDxrVuY8R92UPBZxLzx3IYE8BVEwvCDwoTxfWQY7cLfGOxUJLbvZ/N+7/OHEPI4UZjyq2Lq8v46EPG+NLjzdpAq77X6LvOPY+LtRcay8lIgevaZR1DwAaLY8jCSkPJ3tFTlV5OS80o7zu9uIc7wJGjy8pcaYOgIHHb2lS3a8Mk24PLMhpbx15lG8VBUevCYLQrwYMVa7L9k3PJiWvTy6+/886r8wO0Q5YzwtQQI8O90LPUMYiTy7Hwy9sDUfPHfkELzmo5y8Ibi0PARJY7tLrd28UO+xO+dEKLxfKva7nvSWvALVFrwUKTy7MDQXvJ2DnTwJ5oC8H26vvEmPnLu+xuQ86TOUvLvM5zs2ASI8S12WO/gcEj2QInQ8n3JJvDuZkTklKQM7QnmIPIrERj0VLEo8VL5au26EOTycVM87V4CcvF21hzwxBIK7GKnMPAgurryDY4W8M5gtvDpW1byw7ya8hUuKvNk7KjsLXmK8BvGFu0hTNTwDaLe8YmLBO4Bj2zxHQuo8mphEPLhe5ruLNas7BpvvO42DUjxCWPq8TnQ6PAxrV7tASS28XSDOu47AvDsKaAO6S2O6vH/RM73EEne8z6WWu+kHtryszS296KA8Oyx+VrnBFJi8ptHnu0ayyjzNP6O8p1ckPZMUUTw1pCy7RGCdPBBF/rqWEI28YsLAvFl0AbzqqKO8pAEsvZoEtjvYHKI7RhJmO6+sOLyqoq67Uo8tu60BbbxYT1C9CihrPE18tjzuqQC9AIq4vGyKzTzUbQ+9yf/4OwlSA72F+5A8ejuBvLVIjLyl5gw7b+S6vNKMyDzdnxQ9C2wsu2v3B72fvTk8dNa9O3y9pDwpSJc8De8IvKkS/btoR7o6iYEVPKz5LL2WTSI8xOrxO8rODLyiQU+8RYBhvMqgP71NlaI694gdvXS48Tt7ubG8XSY8PPGmR7zDTR+68X6svOGpWTqQM2C8J5wqvZEP3bszMO+87FKAPKoyJr2fAtY8fRnSu4PgxDxSnKm8B5BfvHBIlzwAm8+7G5MNOzg04boXigA80X/SvMF9ZDy9l7U81YP8u9cBarvItUQ8sa+mPLTKcDsuVde6Ut6NPPJtfrzo29i8mRqzvAHf7LyIn8K7TTiDPASqojz0GpK7EB7lO+sSt7zcabW895+/vOFgt7xNL0s8SlqbPLYN+bx9JZI89AHPPAP3ZTzYWTk7Mv3bPD2bxju4v4k824bZO66Uh7qp0A49wlB2PPIVqTxy7bo89xkcPaIzszzSvha9dMTPu/bGKjymGaY8haQOPIuDb7zA0ya8sef+O3x8mDxCWRu8e+ChPD5i/7tN9NK8jpNmvQHxLTy/Iwy83r4YPGh4VzwGqKe6Q+Y/PFCpPLyvXFY8qb3kvHpvTzy2uJ27A6cKvM87ojyl3D08LPepPAdrHzwkc9y8J0VnvCy6QjxPgR08LTWTPCRXdrznUr+7X+SzuutombwwkjM8YIm7u4AJjzuXEkq8Q6eDus3BCDzsulO7ATgYPC9/S7y2rQg9RqfIO/PtgruSr0y8EV2bPOLzJLzxGRM5Y60FPEhVhbz6vBu8fICTPGzkgjyXnPc7KufEuq5IBrw6b8a7khEvPfSmwbnCasa7dWvMO8YvI73gOPC77PmTPL63LDwUoZ+7cbnLvO3XY70Tjga8gR0TPMIRPT0D2N28Z/NRO3rBkLzxjhS8/wVbvGsQVjvCtVa80SDnPA/HDTpM1Rq7hXWgPCcMhLyFxWy9S0iyPA75+Lr7mHg86KStPK4sijy1N++7E7wDPZrdCL1J4RK9ruiiPCybgDwMpCE67DxVO3/eIb24TVM8zhveOzasGz3PvJY8KpeLO+Zpg7uyoBa8NvhxvOqIFT1FMvq6U+DRO9bQiLy9cKW8pnmGuf6fSb3FHpq8TtZ5vASMOr3s5QO87P/oOCzQBr0e1ry8yL/hO7iFRjxwf1q72H07vJS8yDxbdoO8/sORO7hTuTyBZto7YYqFvIxr8zvuOwQ8gItcu/RBKDx3a628jWSiO3tRX72Rcgo971gHPYx3wTu/tES92ZUyOvd10zwROJO8D+3HO/f06zz37/c7Y349O3Bwkjtt34+7PwjzO3d1sby97vO59fluPEOkJrzaCKI82/9ZvJGkYLwJJG+91snVvETV2zx7ba45ID4wu9G+DDy6C8y81YSKPGow9LtCI8S88CtuPGXqKb0hwGW8FA3GPPMJ0jzMBBW8hbOavJb1gjx5rMu8RGAfPE2z7zl89yI8sTH9vAYuuLvPXye8fvp4vGgDW7uvle86E2Kmu5aQRj0Kp7Y5do59vOjsGLsrhAQ8CcsVu+rBHr2PcB+8kZIXPMbeF7wfo288BT0gPRUL7jzZlQ68XMQAvLV3Crso7R67Z+wsvElEtrsx/Ge8qSGfPGOX5rx8SKk5CTXGPCyTFLynf3A8OGfDO4uRwrxy3Jy8LC0HvFsiW7sbqYQ6YerxO3nIVTtRbTW8/ZUuPJLMy7su8a48IEhaPF6Cg7xMSpY8SFlCPHkrQrw3q+q8mQvbun4mpLzw3LK8aA2DvKkg9bpTTNo7rV4ZvKMdYztnLyK9Rv2vPHzPDj0IWYQ8sq1xPGK5mzvP+oi8goOVPCKiLTvqHFu8srBTPFfo7DvfIuA7cNycPKCsozvCkFQ7YWFxPC0fyryUPwC8n5G5vBaevLy/QAw9a9WPvMi3Jr30+588xx79PEwRdzy9Uqg7TWtyvHNhmzwPM3u8rtn9vDhXKb0H1/67P6M8vPGvLLquXp688OIivDnMObvAwPU7MubLvG/KojwiFMg75wbBO1iT1jtOn027LNvbOs0W97wdRa88AmUEvMCpR7xkyz+8aoIUPABy7zxfChE9VWKsPNjGTLx5ASg9uvQvvR79RDsK7B687Zi3PEqdSb2OaFa8hR9lvHgOBb2hx9c8TheDvOEdCDwjlda8zB1EvP9eUD2OnJW8dbcEPbYSqTwzlwa9ZSUzO+p/DL2M2aQ8bn7UvP9TNz274n085urEuzBIwzr4l8O5+4wePan907psr5K7t6c0vD7VHzwy0JY8b6idPCPiUjyd/5E8x16JvM+m5zt9Atk7Ar4/O4qvFzvmMxo9Xnm5u2u2Ab2kJCw8whW7u7yYgTxesuy8RMxevHl9Qb2cf0A8f9ZqvI2crbxneKu8X5uJPE7NuDu82pM8bAfHvOxzlbxh7Ve6i1NQPDQO5zwzysM7XBbgvAY7mDyyzCw7NGYhuw1o2zxuaXi8mgUAO1qP/Tx1Qmq8mr9Rux/2Oj13jxS8HbXMO09BSLtyZC+8HF2ZO3D5rbzMUOK6lCDXPFuCOLwUoX28hN2iPFttPzwF9Bo9k27APFonWrzXEBY8R6hzvJw3GLxmSg299TQUvQTkiLyCjw08U+fqPE63sLwAKVU9hldnPN3dYTxF82U8UZWgvJApLj1ATRO9onVRO+ejhjzxEZy6xQIyu5LEaLxAQDW9JH+bPKz95DyUqXi87peKu1z7l7zB9Uw8/0rjO2HG9jqpVGO8j2EWvc/bz7w5wia8A21UPKZO9zyFb1Y8NneKPI9Wn7vwkc48HJcgvMi/aLo2N428SxOdvFQv8rvRn4Y8q6K0vIGSCjmJziC96HFXvKraLbyWafy6hUIyPPvQXjxagwc8lV6dvKGyIj3f7tS7NCIYvHfDxjvnpaa7z/PvO5QCc7vGGsM6Dt53vFsSELx5QC29c+3QuouXI7x+owY8RE2OPGOl+ruyNNu81FX1uywWErq+MHK8WV+vPHr4jjsfSaS8jKpEPHk+5zwvYr67oFrCOwhsZ7zyzVu8vyCCPA2YnLuwCQ27n9WBPOWS/DwdM7e8wxPsPO7BArwmPos8BP8JPazcAbwYyBc9WwfePNK4MzwjiNA8Y2UdPCrGSDwqNq+8WjcrvPyBJT013mW8uM7nu6fGnzuwJDU9tYkWPD90TLy2JLE8k0IePbuKYjwXDAg9PhrJumQCAbwNJpo6+U7ZPJ8cPDmsXcM7UaYAu3IHPruP75A7AisMvDDMmzxDsjo8DaC4vLrrfDqXmkW89yyfvMRUCjxGp8q8UFrWu+qxTDwdt7k8srWwvBmVJzut2de7oSucvFpySrwpfhU9s9zbuyljEr3/OyK8UX8ju61KN7w194e8JYa5uxnGtrws2N88NmktveFlaTw2/gq9NScKPB2+UbzuPXI76k3rPN63pDyV9yi7lFv0O8r/SDvvOMq66ybPO8LFmLxdNGQ8P1jYvCfGLTwXYgm46cM6PZSncLxALZG8UOoTvNfZmTsOwEM8GyKSvOqr1TywPJy768qXPNHXjLqFof48ikWBPMeiiLyF6Og8ZYJCOsXw5jvHVc86Q6maO/VCsjuSbRE8bohNvbAUEbtf/qm8SHeQvG6VADwp1Iu8PZsevXv1kzwdMQI8sb5aPEijNDuaDoa8HXQ1O7XynrymD7O8LK0KvLnzgzyuIza9ILqDu5SoB70T3kE9CTc+uzBhzTuvk4u66AXQvEavIrw4/wK8TzwLPdVkbLwmEWw8jEMqvOD8zbuonQO8/R9+u8qNn7tkfQS9+jXsPOSQjDyfqw68fcbGPP63HbtZxhM7y2MUvaHHlzxDwBE81yn2vNb2gLyrS+a7xJ+DO/eaiLxgQKG77PIgvLfcQjyy24g8qxQCOU1TjjwlsX48avK+u2887ruv8YE8y3iFu5CSBLx9/zO8NOAbvHX4AryJgko8O9aKvE4UG7xANZS8ukhfvAeRMzwkfCS7uBU4vDUnWrsKfYG88c5Wu9uU1buuG4q8Q8K+ulCKjzwlTes7H71PvOU/MjzQrkA8TIqmO9E/r7wV9oy8GO4Kuw== - index: 0 - object: embedding - model: qwen3-embedding:4b - object: list - usage: - prompt_tokens: 10 - total_tokens: 10 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '3764' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a search and question-answering specialist. - - Process: - 1. Call search_and_answer with relevant keywords from the question. - 2. Review the results ordered by relevance. - 3. If needed, perform follow-up searches with different keywords (max 3 total). - 4. Provide a concise answer based strictly on the retrieved content. - - The search tool returns results like: - [9bde5847-44c9-400a-8997-0e6b65babf92] [rank 1 of 5] - Source: "Document Title" > Section > Subsection - Type: paragraph - Content: - The actual text content here... - - [d5a63c82-cb40-439f-9b2e-de7d177829b7] [rank 2 of 5] - Source: "Another Document" - Type: table - Content: - | Column 1 | Column 2 | - ... - - Each result includes: - - chunk_id in brackets and rank position (rank 1 = most relevant) - - Source: document title and section hierarchy (when available) - - Type: content type like paragraph, table, code, list_item (when available) - - Content: the actual text - - Output format: - - query: Echo the question you are answering - - answer: Your concise answer based on the retrieved content - - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects) - - confidence: A score from 0.0 to 1.0 indicating answer confidence - - IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs. - - Guidelines: - - Base answers strictly on retrieved content - do not use external knowledge. - - Use the Source and Type metadata to understand context. - - If multiple results are relevant, synthesize them coherently. - - If information is insufficient, say so clearly. - - Be concise and direct; avoid meta commentary about the process. - - Results are ordered by relevance, with rank 1 being most relevant. - role: system - - content: Provide the list of all class labels in the DocLayNet dataset along with the number of examples for each - class. - role: user - - content: |- - - Need search. - - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet class labels number of examples"}' - name: search_and_answer - id: call_z9248skz - type: function - - content: |- - [387dce4d-4568-4471-9078-5b92788627fa] [rank 1 of 1] - Source: "DocLayNet Class Labels" - Type: list_item - Content: - DocLayNet defines 11 distinct class labels for document layout analysis: - - Caption - Text describing figures or tables - - Footnote - Notes at the bottom of pages - - Formula - Mathematical expressions - - List-item - Items in bulleted or numbered lists - - Page-footer - Footer content on pages - - Page-header - Header content on pages - - Picture - Images and diagrams - - Section-header - Headings for document sections - - Table - Tabular data - role: tool - tool_call_id: call_z9248skz - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: Search the knowledge base for relevant documents. - name: search_and_answer - parameters: - additionalProperties: false - properties: - limit: - anyOf: - - type: integer - - type: 'null' - default: null - query: - type: string - required: - - query - type: object - type: function - - function: - description: Answer to a search query with chunk references. - name: final_result - parameters: - additionalProperties: false - properties: - answer: - description: The answer to the question - type: string - cited_chunks: - description: IDs of chunks used to form the answer - items: - type: string - type: array - confidence: - default: 1.0 - description: Confidence score for this answer (0-1) - maximum: 1.0 - minimum: 0.0 - type: number - query: - description: The question that was answered - type: string - required: - - query - - answer - type: object - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '507' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: tool_calls - index: 0 - message: - content: '' - reasoning: Need counts. try. - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet dataset examples per class"}' - name: search_and_answer - id: call_0r2kc49s - index: 0 - type: function - created: 1769804661 - id: chatcmpl-201 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 40 - prompt_tokens: 826 - total_tokens: 866 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '106' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - encoding_format: base64 - input: - - DocLayNet dataset examples per class - model: qwen3-embedding:4b - uri: http://localhost:11434/v1/embeddings - response: - headers: - content-type: - - application/json - transfer-encoding: - - chunked - parsed_body: - data: - - embedding: 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 - index: 0 - object: embedding - model: qwen3-embedding:4b - object: list - usage: - prompt_tokens: 9 - total_tokens: 9 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '4627' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a search and question-answering specialist. - - Process: - 1. Call search_and_answer with relevant keywords from the question. - 2. Review the results ordered by relevance. - 3. If needed, perform follow-up searches with different keywords (max 3 total). - 4. Provide a concise answer based strictly on the retrieved content. - - The search tool returns results like: - [9bde5847-44c9-400a-8997-0e6b65babf92] [rank 1 of 5] - Source: "Document Title" > Section > Subsection - Type: paragraph - Content: - The actual text content here... - - [d5a63c82-cb40-439f-9b2e-de7d177829b7] [rank 2 of 5] - Source: "Another Document" - Type: table - Content: - | Column 1 | Column 2 | - ... - - Each result includes: - - chunk_id in brackets and rank position (rank 1 = most relevant) - - Source: document title and section hierarchy (when available) - - Type: content type like paragraph, table, code, list_item (when available) - - Content: the actual text - - Output format: - - query: Echo the question you are answering - - answer: Your concise answer based on the retrieved content - - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects) - - confidence: A score from 0.0 to 1.0 indicating answer confidence - - IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs. - - Guidelines: - - Base answers strictly on retrieved content - do not use external knowledge. - - Use the Source and Type metadata to understand context. - - If multiple results are relevant, synthesize them coherently. - - If information is insufficient, say so clearly. - - Be concise and direct; avoid meta commentary about the process. - - Results are ordered by relevance, with rank 1 being most relevant. - role: system - - content: Provide the list of all class labels in the DocLayNet dataset along with the number of examples for each - class. - role: user - - content: |- - - Need search. - - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet class labels number of examples"}' - name: search_and_answer - id: call_z9248skz - type: function - - content: |- - [387dce4d-4568-4471-9078-5b92788627fa] [rank 1 of 1] - Source: "DocLayNet Class Labels" - Type: list_item - Content: - DocLayNet defines 11 distinct class labels for document layout analysis: - - Caption - Text describing figures or tables - - Footnote - Notes at the bottom of pages - - Formula - Mathematical expressions - - List-item - Items in bulleted or numbered lists - - Page-footer - Footer content on pages - - Page-header - Header content on pages - - Picture - Images and diagrams - - Section-header - Headings for document sections - - Table - Tabular data - role: tool - tool_call_id: call_z9248skz - - content: |- - - Need counts. try. - - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet dataset examples per class"}' - name: search_and_answer - id: call_0r2kc49s - type: function - - content: |- - [387dce4d-4568-4471-9078-5b92788627fa] [rank 1 of 1] - Source: "DocLayNet Class Labels" - Type: list_item - Content: - DocLayNet defines 11 distinct class labels for document layout analysis: - - Caption - Text describing figures or tables - - Footnote - Notes at the bottom of pages - - Formula - Mathematical expressions - - List-item - Items in bulleted or numbered lists - - Page-footer - Footer content on pages - - Page-header - Header content on pages - - Picture - Images and diagrams - - Section-header - Headings for document sections - - Table - Tabular data - role: tool - tool_call_id: call_0r2kc49s - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: Search the knowledge base for relevant documents. - name: search_and_answer - parameters: - additionalProperties: false - properties: - limit: - anyOf: - - type: integer - - type: 'null' - default: null - query: - type: string - required: - - query - type: object - type: function - - function: - description: Answer to a search query with chunk references. - name: final_result - parameters: - additionalProperties: false - properties: - answer: - description: The answer to the question - type: string - cited_chunks: - description: IDs of chunks used to form the answer - items: - type: string - type: array - confidence: - default: 1.0 - description: Confidence score for this answer (0-1) - maximum: 1.0 - minimum: 0.0 - type: number - query: - description: The question that was answered - type: string - required: - - query - - answer - type: object - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '412' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: stop - index: 0 - message: - content: I’m sorry, but I couldn’t find the requested information on the number of examples for each class in the - DocLayNet dataset. - role: assistant - created: 1769804663 - id: chatcmpl-39 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 31 - prompt_tokens: 1015 - total_tokens: 1046 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '4916' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a search and question-answering specialist. - - Process: - 1. Call search_and_answer with relevant keywords from the question. - 2. Review the results ordered by relevance. - 3. If needed, perform follow-up searches with different keywords (max 3 total). - 4. Provide a concise answer based strictly on the retrieved content. - - The search tool returns results like: - [9bde5847-44c9-400a-8997-0e6b65babf92] [rank 1 of 5] - Source: "Document Title" > Section > Subsection - Type: paragraph - Content: - The actual text content here... - - [d5a63c82-cb40-439f-9b2e-de7d177829b7] [rank 2 of 5] - Source: "Another Document" - Type: table - Content: - | Column 1 | Column 2 | - ... - - Each result includes: - - chunk_id in brackets and rank position (rank 1 = most relevant) - - Source: document title and section hierarchy (when available) - - Type: content type like paragraph, table, code, list_item (when available) - - Content: the actual text - - Output format: - - query: Echo the question you are answering - - answer: Your concise answer based on the retrieved content - - cited_chunks: List of plain strings containing only the chunk UUIDs (not objects) - - confidence: A score from 0.0 to 1.0 indicating answer confidence - - IMPORTANT: Use the EXACT, COMPLETE chunk ID (full UUID). Do NOT truncate IDs. - - Guidelines: - - Base answers strictly on retrieved content - do not use external knowledge. - - Use the Source and Type metadata to understand context. - - If multiple results are relevant, synthesize them coherently. - - If information is insufficient, say so clearly. - - Be concise and direct; avoid meta commentary about the process. - - Results are ordered by relevance, with rank 1 being most relevant. - role: system - - content: Provide the list of all class labels in the DocLayNet dataset along with the number of examples for each - class. - role: user - - content: |- - - Need search. - - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet class labels number of examples"}' - name: search_and_answer - id: call_z9248skz - type: function - - content: |- - [387dce4d-4568-4471-9078-5b92788627fa] [rank 1 of 1] - Source: "DocLayNet Class Labels" - Type: list_item - Content: - DocLayNet defines 11 distinct class labels for document layout analysis: - - Caption - Text describing figures or tables - - Footnote - Notes at the bottom of pages - - Formula - Mathematical expressions - - List-item - Items in bulleted or numbered lists - - Page-footer - Footer content on pages - - Page-header - Header content on pages - - Picture - Images and diagrams - - Section-header - Headings for document sections - - Table - Tabular data - role: tool - tool_call_id: call_z9248skz - - content: |- - - Need counts. try. - - role: assistant - tool_calls: - - function: - arguments: '{"limit":5,"query":"DocLayNet dataset examples per class"}' - name: search_and_answer - id: call_0r2kc49s - type: function - - content: |- - [387dce4d-4568-4471-9078-5b92788627fa] [rank 1 of 1] - Source: "DocLayNet Class Labels" - Type: list_item - Content: - DocLayNet defines 11 distinct class labels for document layout analysis: - - Caption - Text describing figures or tables - - Footnote - Notes at the bottom of pages - - Formula - Mathematical expressions - - List-item - Items in bulleted or numbered lists - - Page-footer - Footer content on pages - - Page-header - Header content on pages - - Picture - Images and diagrams - - Section-header - Headings for document sections - - Table - Tabular data - role: tool - tool_call_id: call_0r2kc49s - - content: I’m sorry, but I couldn’t find the requested information on the number of examples for each class in the - DocLayNet dataset. - role: assistant - - content: |- - Validation feedback: - Please include your response in a tool call. - - Fix the errors and try again. - role: user - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: Search the knowledge base for relevant documents. - name: search_and_answer - parameters: - additionalProperties: false - properties: - limit: - anyOf: - - type: integer - - type: 'null' - default: null - query: - type: string - required: - - query - type: object - type: function - - function: - description: Answer to a search query with chunk references. - name: final_result - parameters: - additionalProperties: false - properties: - answer: - description: The answer to the question - type: string - cited_chunks: - description: IDs of chunks used to form the answer - items: - type: string - type: array - confidence: - default: 1.0 - description: Confidence score for this answer (0-1) - maximum: 1.0 - minimum: 0.0 - type: number - query: - description: The question that was answered - type: string - required: - - query - - answer - type: object - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '768' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: tool_calls - index: 0 - message: - content: '' - reasoning: Need to call functions.final_result. - role: assistant - tool_calls: - - function: - arguments: '{"answer":"I’m sorry, but I couldn’t find the requested information on the number of examples for - each class in the DocLayNet dataset.","cited_chunks":[],"confidence":0.3,"query":"Provide the list of all - class labels in the DocLayNet dataset along with the number of examples for each class."}' - name: final_result - id: call_plq2bo5u - index: 0 - type: function - created: 1769804667 - id: chatcmpl-519 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 93 - prompt_tokens: 1071 - total_tokens: 1164 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '2905' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - Generate a direct, conversational answer - to the question based on the gathered evidence. - - Output: - - answer: Direct, comprehensive answer with a natural, helpful tone. - Write the actual answer, not a description of what you found. - Use as many sentences as needed to fully address the question. - - confidence: Score from 0.0 to 1.0 indicating answer quality. - - Guidelines: - - Base your answer solely on the evidence provided in the context. - - If a section is provided, use it to frame your answer appropriately. - - Be thorough - include all relevant information from the evidence. - - Use formatting (bullet points, numbered lists) when it improves clarity. - - Do NOT use meta-commentary like "Based on the research..." or "The evidence shows..." - Instead, directly state the information. - - If the evidence is incomplete, acknowledge limitations briefly. - role: system - - content: |- - Answer the question based on the gathered evidence. - - - What is the highest count class in the DocLayNet dataset? - - - Provide the list of all class labels in the DocLayNet dataset along with the number of examples for each class. - I’m sorry, but I couldn’t find the requested information on the number of examples for each class in the DocLayNet dataset. - 0.3 - null - - - - role: user - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: Conversational answer for chat context. - name: final_result - parameters: - $defs: - Citation: - additionalProperties: false - description: |- - Resolved citation with full metadata for display/visual grounding. - - Used by both research graph and chat agent. The optional index field - supports UI display ordering in chat contexts. - properties: - chunk_id: - type: string - content: - type: string - document_id: - type: string - document_title: - anyOf: - - type: string - - type: 'null' - default: null - document_uri: - type: string - headings: - anyOf: - - items: - type: string - type: array - - type: 'null' - default: null - index: - anyOf: - - type: integer - - type: 'null' - default: null - page_numbers: - items: - type: integer - type: array - required: - - document_id - - chunk_id - - document_uri - - content - type: object - additionalProperties: false - properties: - answer: - description: Direct answer to the question - type: string - citations: - description: Citations supporting the answer - items: - $ref: '#/$defs/Citation' - type: array - confidence: - default: 1.0 - description: Confidence score (0-1) - maximum: 1.0 - minimum: 0.0 - type: number - required: - - answer - type: object - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '748' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: tool_calls - index: 0 - message: - content: '' - reasoning: 'Need answer: highest count class in DocLayNet dataset. We need evidence. No evidence given. Likely can''t - answer. Provide acknowledgement.' - role: assistant - tool_calls: - - function: - arguments: '{"answer":"I’m sorry, but I couldn’t find the information on which class has the highest count in - the DocLayNet dataset based on the information available to me.","confidence":0.2}' - name: final_result - id: call_mb10jcub - index: 0 - type: function - created: 1769804670 - id: chatcmpl-788 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 88 - prompt_tokens: 466 - total_tokens: 554 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '1665' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a session summarizer. Given a conversation history of Q&A pairs (and optionally existing context), produce a structured summary that captures key information for future context. - - If a "Current Context" section is provided at the start of the input, incorporate that context into your summary. This might be initial background context from the user or a previous summary - build upon it rather than discard it. - - Your summary should be concise (aim for 500-1500 tokens) and include: - - 1. **Key Facts Established** - Specific facts, data, or conclusions learned during the conversation - 2. **Documents Referenced** - Documents or sources that were cited, with brief notes on what they contain - 3. **Current Focus** - What topic or question thread the user is currently exploring - - Rules: - - Extract only high-signal information that would help answer follow-up questions - - When building on existing context, merge new information with prior context - - Omit small talk, greetings, or low-confidence answers - - Use bullet points for clarity - - Keep technical details but compress verbose explanations - - Preserve document names/titles when mentioned in sources - - Output the summary directly in markdown format. Do not include meta-commentary about the summary itself. - role: system - - content: | - ## Q1: What is the highest count class in the DocLayNet dataset? - **Answer** (confidence: 20%): - I’m sorry, but I couldn’t find the information on which class has the highest count in the DocLayNet dataset based on the information available to me. - role: user - model: gpt-oss - reasoning_effort: low - stream: false - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '719' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: stop - index: 0 - message: - content: |- - ### Key Facts Established - - The user inquired about the **highest count class** in the **DocLayNet** dataset. - - The assistant was unable to locate or provide this information, citing a lack of available data. - - ### Documents Referenced - - None mentioned or cited. - - ### Current Focus - - Determining the class with the highest frequency/count within the DocLayNet dataset. - reasoning: We need summarize conversation. just one Q/A. - role: assistant - created: 1769804674 - id: chatcmpl-573 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 97 - prompt_tokens: 381 - total_tokens: 478 - status: - code: 200 - message: OK -- request: - headers: - accept: - - application/json - accept-encoding: - - gzip, deflate, zstd - connection: - - keep-alive - content-length: - - '5709' - content-type: - - application/json - host: - - localhost:11434 - method: POST - parsed_body: - messages: - - content: |- - You are a helpful research assistant powered by haiku.rag, a knowledge base system. - - You have access to a knowledge base of documents. Use your tools to search and answer questions. - - CRITICAL RULES: - 1. For greetings or casual chat: respond directly WITHOUT using any tools - 2. For questions: Use the "ask" tool EXACTLY ONCE - it automatically uses prior conversation context - 3. For searches: Use the "search" tool EXACTLY ONCE - it handles multi-query expansion internally - 4. NEVER call the same tool multiple times for a single user message - 5. NEVER make up information - always use tools to get facts from the knowledge base - - How to decide which tool to use: - - "list_documents" - Use when the user wants to browse or see what documents are available (e.g., "what documents are available?", "show me the documents", "list available docs"). - - "summarize_document" - Use when the user wants an overview or summary of a specific document (e.g., "summarize document X", "what does Y cover?", "give me an overview of Z"). - - "get_document" - Use when the user wants the FULL content of a specific document (e.g., "get the paper about Y", "fetch 2412.00566", "show me the full document"). - - "ask" - Use for questions about topics in the knowledge base. It automatically finds relevant prior answers from conversation history and searches across documents to return answers with citations. - - "search" - Use when the user explicitly asks to search/find/explore documents. Call it ONCE. After calling search, copy the ENTIRE tool response to your output INCLUDING the content snippets. Do NOT shorten, summarize, or omit any part of the results. - - IMPORTANT - When user mentions a document in search/ask: - - If user says "search in ", "find in ", "answer from ", or " in ": - - Extract the TOPIC as `query`/`question` - - Extract the DOCUMENT NAME as `document_name` - - Examples for search: - - "search for embeddings in the ML paper" → query="embeddings", document_name="ML paper" - - "find transformer architecture in 2412.00566" → query="transformer architecture", document_name="2412.00566" - - Examples for ask: - - "what does the ML paper say about embeddings?" → question="what are the embedding methods?", document_name="ML paper" - - "answer from 2412.00566 about model training" → question="how is the model trained?", document_name="2412.00566" - - Be friendly and conversational. When you use the "ask" tool, summarize the key findings for the user. - role: system - - content: What is the highest count class in the DocLayNet dataset? - role: user - - content: |- - - Need ask. - - role: assistant - tool_calls: - - function: - arguments: '{"document_name":null,"question":"What is the highest count class in the DocLayNet dataset?"}' - name: ask - id: call_eolhkv9k - type: function - - content: I’m sorry, but I couldn’t find the information on which class has the highest count in the DocLayNet dataset - based on the information available to me. - role: tool - tool_call_id: call_eolhkv9k - model: gpt-oss - reasoning_effort: low - stream: false - tool_choice: auto - tools: - - function: - description: |- - Search the knowledge base for relevant documents. - - Use this when you need to find documents or explore the knowledge base. - Results are displayed to the user - just list the titles found. - name: search - parameters: - additionalProperties: false - properties: - document_name: - anyOf: - - type: string - - type: 'null' - default: null - description: Optional document name/title to search within - limit: - anyOf: - - type: integer - - type: 'null' - default: null - description: 'Number of results to return (default: 5)' - query: - description: The search query (what to search for) - type: string - required: - - query - type: object - type: function - - function: - description: |- - Answer a specific question using the knowledge base. - - Use this for direct questions that need a focused answer with citations. - Uses a research graph for planning, searching, and synthesis. - name: ask - parameters: - additionalProperties: false - properties: - document_name: - anyOf: - - type: string - - type: 'null' - default: null - description: Optional document name/title to search within (e.g., "tbmed593", "army manual") - question: - description: The question to answer - type: string - required: - - question - type: object - type: function - - function: - description: |- - List available documents in the knowledge base. - - Use this when the user wants to browse or see what documents are available. - name: list_documents - parameters: - additionalProperties: false - properties: - page: - default: 1 - description: 'Page number (default: 1, 50 documents per page)' - type: integer - type: object - type: function - - function: - description: |- - Retrieve a specific document by title or URI. - - Use this when the user wants to fetch/get/retrieve a specific document. - name: get_document - parameters: - additionalProperties: false - properties: - query: - description: The document title or URI to look up - type: string - required: - - query - type: object - strict: true - type: function - - function: - description: |- - Generate a summary of a specific document. - - Use this when the user wants an overview or summary of a document's content. - name: summarize_document - parameters: - additionalProperties: false - properties: - query: - description: The document title or URI to summarize - type: string - required: - - query - type: object - strict: true - type: function - uri: http://localhost:11434/v1/chat/completions - response: - headers: - content-length: - - '399' - content-type: - - application/json - parsed_body: - choices: - - finish_reason: stop - index: 0 - message: - content: I’m sorry, but I couldn’t find the information on which class has the highest count in the DocLayNet dataset. - role: assistant - created: 1769804678 - id: chatcmpl-740 - model: gpt-oss - object: chat.completion - system_fingerprint: fp_ollama - usage: - completion_tokens: 29 - prompt_tokens: 1124 - total_tokens: 1153 - status: - code: 200 - message: OK -version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_title.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_title.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_title.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_uri.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_uri.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_by_uri.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_not_found.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_not_found.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_not_found.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_tracks_in_state.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_tracks_in_state.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_get_document_tracks_in_state.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_pagination.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_pagination.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_pagination.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_returns_paginated_results.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_returns_paginated_results.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_returns_paginated_results.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_with_base_filter.yaml b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_with_base_filter.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolExecution.test_list_documents_with_base_filter.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolset.test_create_document_toolset_returns_function_toolset.yaml b/tests/tools/cassettes/test_document/TestDocumentToolset.test_create_document_toolset_returns_function_toolset.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolset.test_create_document_toolset_returns_function_toolset.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: fBiAuV0A37x9cpu8MldhvIUktrrMji48KD6OPfOBDj0Lc7Y6WPwBvSlEkT3KlU08+UnWueLDDrxz8nA8U+YsPI0eejyjjmq9X0mavPDKEjk+94a7VK3RvNBIOT1dW248mtCCvKn4/zy5HpG8LXOlvOoWCbvTNGg9N6jMPDAgXDw7Cxi6rN5/PCun6TnyX8e83LsIvG54bro0T3o73z15uyx3UDv5b7Q7SZQ7O2Jl7jzFsCy8aJ9FvY17zjvWNsY8QkWQOVIzAL2hfc66lO7Wu1bdzDyvpK+8zCfhPC/dPD2vEUo8l6abu2ObnjtMWLi8tI25u/LZgbrnnAm8x/DTu4eJzrtSDaO7gnAgvKuvdzrdsRg80tmNO6erlrwDShc9PvXxu47uszxefMk7xAcivKhJKrw5gxU9CLywvN3VdDt6yom8AGiCOftU+TtfT1Q90VpEO4n+wDtEwuQ7imCUumizIruXFBK8IpevuvQQXTydluA69z+zPGLS4jpsDZU7cl9EvJ+2BLxMko+7ck2HOtDlAjyxNU28G23mvPyAYrsUBpu8a3pxPG2TLbwLhnM8/yK8PNaEvDuhGZQ7VSgpu4FUWzszPpU71nyBuoYyJzw9NBm8ykrcPLycwjuBjlI9SaaUu2KNjTze8MU7TlkNvc1R8DuMGwy99YZXPOz1rDwbZ0+8kOUhu0QM7jtP/v+7ho+nOpjYXrwD0Sw8z/JIvGa2EjteJpa8D11Tu2/msTwylCQ8QlL+OzaBEjrJSd08LNUiPCa+fL0st6u8mRMMPQUPVzxjuQA8ivqwPF+LrbxCMo471nrQO4TVCzyf/JI8gjbsu7UTrjwgSba6FCVLu/8n1TuGrOq7xX6rPIKkFj1+oW28tyNbPNVINr3npzi8issFO1GiB7xatkA84cEYu+VCWrxK+x08yENSPFQcFzxsQ527ZPJCOv8Fwzmhtle7mBXcOytakjyZpQm9uyYqO4kBajujsj08cZIcvLMP7jzDjgA8HK/3Om0sjLxbI7e8y6nLutr+PTwffci7cnhMvD962LxWD+O89/iWuwHmszxxVNI8NWYLvKCH57s9Ywm8dbxJO83DOzxgKOO5kASYu/5V8DpyaOA5G0ljPJOp2bvangm76bWqvU2JGLx0Xe27VACKvIeco7w+bjw7rE8qPb6r8TrqnxQ8n4Bvu3MDZjoHCBG8D9eVPAHMWrung3o8warhO4f+F7wfqxs9YzzqusrDVztNiaO8RoeKuw5RbDz8YoE6BJmau+khEzzN+v+7KO4PvIAL5rwslo474TsiPFmDhzzYZfW7mjX9u42KLry8N4E8oxORvHMTLzzTBzQ7rw6XPJWdM7zw/pU7ukcTvBVR6rvwW608MkU2vFkeMDwh/ea5nt9tPBPPtroe5uq6mCmhPHcFKr1y26083J/lurJamjxqzwm8maKsPJKqsDtKQTs7VW4mvCdhAL0GImy8FxqVPKFa4zvA5Oc6aMdAPN5uA7yPsmi7GSTMO0zIVTzl1IO7vLuoO1NjHD1P08g6enp/vBBO1Ty694u6RU56vdeSsDxK6zG7eEPzvPyAGj24E7U80ZSvukA7Dr3LD7K8y/rjOlrTHzyj0Hy8PVjEOy4YWjwMniA8yD+luxhgODx4L2Y8QTFRvJHStbwWNW+8XKr2O+heHLt6H9w7vK0MuiSDuLtj1UG8wYPpuxtlVTqcfpw8lPA+vceTYry4MjG7J/wvvfUwrLzBANY7GWEovJbdbbxsKGS8YiQpPSSrxTxLGti803K0u2+LoDw7Iq+77ToAvJUhCT3YrgC7vTt3vEiGIDyWqfw7f+C2vC3oo7x4XOQ6rYJYvBdkQzxbO5282RxRvNHc5bzz+D+9bzbju73Cab1tqTe87W2dvGdNg7zfN4m8NWTxvPWQhrt0+rC7OcigObgqujyXdcI77NO1PPzAAzzkNgi6/LTovJEwWLyh19I7Emm4uu0DejsAKEu8r+GJPPc2MzxXmQo7hzyZvCxL2LxiGni8euUZPH7ozTuL6G46oeDouwTciLztV7U7cWuKOn9IADzojYW8xAcxPCQfkboGmZY8C2+Hu8o11ruYSBk8l62xPFnkTr0icGc8+fmMO1L3tTx4lBW9QO/DvFtc97yyDA+8WbT4vNfEsTzhNt08efW5vNyNYjzH5zE9yoHUO/sGTbwSgK88Cy6nu+jPXjwR4ag8K+ibPAnHlDzkkuQ8ly1KvAXafL02BkU6MWMIvMuyH7tH4wg83d7jO0UbmTyY5Cg8/FePvMZ7VTxcUWi8Ow54PM3hkTusQAq8aF4XPcbtqjx/TbC8OFp9PP2Lar0qXAw9Iiuou1CCoju8HnK5Z+E8vCRiEz1KpgS7DSYivTslxDvTUFw8KM0VvBy8Zzmtz1a9D+73uJW4U7uj3aY7yGU7vT+/Or1F/t88WTjQO64hVbzWFKS8vLXOOhZUVL2fd648xcSkvAUKLzzUkge8cwmIvDDfA70PzZ08hwRLOjGvpTwTkZe8cqZou0OBubz1Ef472zREPCVPMTsn/Qk7dNelOjh6jrzbOca7NI/buxLwNTyGYX28RVnBu98OIrwEdbi7JabUPLQhIz2k2TI5/XgoPObvKTrlGY+84R4FPBJ4j7yn3U283Z7hOguWhDxyF568foBzO1WS2jpYQrc8iIYbPDqTVzvBdR68cnvkvJONDDywags934lXvPQMtjvV7F081WuCvBD5FDy7QqI8f2T/vBAFlbsytS67TOhcPY9nwzuLNbw7xfTEOxiRwDx9QSm9XQz4PO3iD7wrHKC8dEwDPOKL8TxK44m9K0grvETh1Lw0Axq9YPv3PPfyDr37Id47Or68vMbDNzws9+05k7uRPKOBK7t5D5M8mFNRvMTWeDw4Wp68ZsRpPKNXgLs5/Hm8xWcPPEVpIrs7AYA8a9NpOtJffjzH4FO89ZpJusriCr1C7LG7mLHDPAWYETyClqs8RMAFPbJZAT1eBgE91ynnPALEmbvQtjC8hEeOu8Q/irx5pD68ASQTu2y1T7x0DAs5ujZGvFczTbyBTHg8xuSpOyBlOb03Eow8q7MLvYHHBDvQ/RM86ceTPM7NIrz1pDY8yBBnO+5kybwHqco8bAekOblzFL1H/2g74mdlO8a+D70IFQS9kcOtPNDy67sdjU08oHbVPOMQXbvh0gS9kxpEOZ5AkLw6gkc72JAhPTNNELw+wBY7i5qWPIYp5rsldBM8uqPJvCmKljz/5Qc70wN2uhE1C704Sxy7eRqQvIxO4DyhzTA9fJIzPJAsnzrb4Z68W6XWu8PM47o3xMk6Whl3vNQ9mLxYnqq9B94wPeYYqLyGWEe8+NcPu0yORb3oIna8YjgKvHADtLzZh1I8OwUnu8QmLrylwQA8gzjXvJ/ZILwiaCe9FQ3uu7PbgDwk3c0807SuPMtUdLus9eI84V/xO0NZgLx6zvC8hiQuvYOeADxn//66P2GCvNnSg7wCQxG8zuqeu4wlz7zO8xg9ara1PK7dML3eE+E8+Ft/PPUM0TtrAt48iUVfPE5k6zpJP/M5QRFevewCgryvjmg9ry8WPPoWsjzWdfa8WiFUO9pZa7r20sQ6K/u4u+eOLz1hOx49twawPDXej7v8Mdw8IJTxO6f8ebzbGAO80e/fPHyNEj3Hs5K94xdFPOeL4bsT8865w8oavB1GIz1fOww8QEGzO90hATt52pq8BrPrPHmMyjymuPG76cbju8qNEbwd6EK6xwtrvDe2HbxFdaG8sJSBPbfti7wO6Jo8KHAnOwv5ILtm5ae8OlcAOq8LD73Tens8vxgeunag4DyOHZK8FZthvExk0bzjbDS78e5kPOuDAj23Lcu8N+gFvAxrpTuEzqO8jv3QPEVPkrzLKNa6tEAdPVOAtjyiJxi6IbZAvOA5rDwTQKa8jJuGPK/0ljtjtqI77YtoPPnGTLyGZSA82wK4vAVgqzxyf8Q8KuafPE01/7mXJ9u7tooGvIDC8juHmak8zt2vvNyBuzyen4q8AYcavKWt1DyV2CA8tLaWOj4iDTxQn4039q2zPPZdlbxvNR+8U7zoPNGN8btOPqy8BShVvDD6Oz3JeQQ87X/PvM+yRTw5ye28HlK5PB2EjTtTkya7RHzEuwnLcjxsIEI8sUFPvG0lBz0EElO7SnPAOawQBL184Lm8xqoTvV9JtLsWEa67iyeKvOZwIb1+zOm89o6nvEoc2TxycY08sUggvaVCCr2McCo9hKCcuBGFtztIkGi85hRGvUYHmLuv+4k82z6HvMUWCzzcp8m6V7xvu0SEqjy0Lws8BInEvAWipjp0HAM8NhwEPP+DBLzISoK65Hx3O4nQED0i2s48d/LqPF+l5bxmgYW8ERNyPZuZQTwfPDA8KITRul6cm7vIBj28nZU7vOEG0Dxu/Tu8QNGgPMyjt7uAta074fMhu9zw7zn/a3c5UrB4vJoPobyf6Hq77s1HvWA7KL0Vi1q8vKOtPOtrSDzxjXq85povvErLIzz7sya8VDcOu6W5lTytrKw8afkVuzsMSLwQklw9lPGKuxJY5DpCjYg8B3yaPA+OzTz2B/S750qpPPwy4DwYddU4POY4vTkF5Lx0Xfy6CiF5PFAPJ7w9IR88i4GXu+0B0LxasJk69hiwu4UeHD0RldS8v+JhuhN7CTxrAaI8nyYOPNofh7vgVBc9xPMNvHEiEr0hKq28hPYGPSX8fbwwrZm81VQAPAs8+jwb1BA8b+bFvHxeHz1Y6RK8mce1PB/aOjykBge8Uzt5O1InSzzj/Ma8opuIPOI1wbsGCLi7cwSsPLBlEDzy7DQ88YCQPCREGD2q3Is8n4Klu0E1qLyY1A67TKOXPARj1LsdxMQ8PXKtPHF947yCP268U4iZu7z6ILxTg3E9VOZ/PC7SUb19oxE8U8hWvAkHEbxolyO7EUMYPb3g37s2yy697LGAPLwJXr2cD4q8k2zFOyR2YbvDz5a86rQCvEO9f7wu/m+8ZHynPM2rrTvA6ac8lrMGvXW+rLzc65q8DTZ+PLS4Yjw9q8A81vCWvMEBuLjV+AU9jByJPCWGdz2Jdv87C/dnPL41VjwLh8M8B0UQuzcFjDzDJlu71elEvFdiCjw2IDs8pr3LvNiwury2PxU9S24HussCDrzsqx28uwMRvJMKzTw1SwM8RraTusIv7rtVsJ88PSZGvT5eQ7ysNSu8dD2UPI2SkrtcCNM8ikMxPQAoFjziagK9Ak2fPI8VIbzkvF48VJBjvHN0+bylrpk8oemyvDc3cDyN/9e8AZUlPXovyLwUIgY61D3iu6N0Rzx7lDc8Bgs2vaXJmjy5NaI8ZnVWO+tL9rzCOvk8jY+ePCsJObtSWcA8hmzSvPBCDj0voDk8xa+aPL96ZzyjqbE5cDC+O+hMbLzVIG47wghjuwJD3bxmwla6hIk0vPtcGLuPbdO8y+uJvMlkBLzjIqy8lkhkvJXRGz2raQC9s3ppPM5OszzhyHM8NXvvvH1/irsVlMG8so+rvEgyJ7znydm6ufd3vJN5Bb03NYy8h8bkvF/jmTsEFI68DccCu9ZvGj3CgwC77VS8vAr22LyOo3s65HNqvO6ZAjy4PE49OvofuhhHaz2M5+g6q9GVvAm1iLvGYJU8IC/FPCglDTzD+Lm8lWjXumAjLbpWnG87ERYoPX2I2DstFVe8+iwGvTTZsbu5Lrw8fBJYvFiRHDp9VNE8tP3lvJq+IjsDAL48gWWdPBpv+bxpBi2837ubO1kyAryhH9M7gPU6vfAPI7xFzkm7jG8NPL68HrwK4Fc8qVzzPGwH3rsrAnW83CpfvCKDkjxgpZg8PnNuvMMJcTzxUQQ938AQvZwWkLxPirM8/6RnvJvP/7viWYY7fi9svJAozzz65KY8bkSoOoPRzTzB2SQ7fFU/PMQTx7x+P1i7QQ+Cu9dXlzvfTgC7VhS+O76YWLy6F4g8XjE2u0nwTzzjq/+8KOn1vHXxxDr6RDQ8N3yDvGz8mTw1ZQy8NisevPdtM7x3P0+8+VmUvM/EVTsI5/y6mBzOu6/1jjxvo9i8ERm4PEPQMD0blc079kORPJJc0zs9z708OhJOPGWX0juqxfg76eCcvNJw4Ly8bUA9ZcwDvcGp9jzIRg47ImncPPxpbTvPoZW86dIHPBgHYLwxzCi80H5MPNTeJzz+E9e74df+O2v/PT33XeG8WVSFOv7ujjyCIo488NTkvNVQuDw3m4o7JiNBPMTCyjyKCUq8s/cLvZNYzLzL/1c8G7nWO4lBJLzUJgw8gQC7PM1jbTzrvJ086LQqvCebLTt0iH+8KI1JvPncKjvPlPq8yzHaPO01hTsFfAc8ixrMvFSZ07rZbb06JbNrPEAEkrzuFQ48XVqlPOTmmjxl58c7npZCvUrsHL1m6KK8WkMYvPjgBL0aXiC8fmpyPNmqiDwaNam8hcBHvVROvrv2Ere8+vtgPJ0TQbze19Q8p/YPO1d0yjz9yKW806nfOkCFdDtRJWe8ca7FPOvyLLxCCx89vODKO30YTrxHVgK9FFo1vKmHHzwzXZ68O8+7O3aTh7xINlY8LGmDO+95NbwKwws9BbMuO+9v1rqJP1082p+pvBCbQbwofh08E509PSApLDy1MME607dNu8L2pzw59dk754aDPFCJZ7yBwk48eyhsPCeBN7zE9gC96FPGuxNd8zzorgs98OS0O2p+K7uGg9I7gzNBvIPzfjveExw9H7uevAzbG71ZZMo7mluHO9DVr7z/YK+82vkIvb3SzbpyC9U7A05nOjTq9zzU++c8CUr7PFzK0juQR727ccwMvV+T87z4a4S8x21zO9hGSbt8Zs68kVpXuwv7DTvZE2u8Roc4PDnaLr2Cxgq8eDzOu2UrH7ui0we9d0CvvK8SJzwEH4o8R4EhvLggELw6S8i7TbyTPPAjezyNAji86jyBPJd7j7q88Sq8s4YGPWhs6rsvYTY84ssQvUlCxTwxAhu8hanju0hAUj3rN648L8i0u6jsALwSCkA8TysOPQaSMryzdVi883UVvVQP3rw49hO7BUAvPYJ3o7vTBx09K6c8PEocGTz7Eaq7fh2OvIvd2rslabI8TiUAu9c2X7y1YFE8fx4qvFSirTwgf5o793ITPImTqDujh0y6PX+pOT/9Hr266n27X/MdPZPHWryLuoy6CJnVO4iM1rzkfaA8ToSjPHVmb7weJyo8BMnRvEj+8zyQpMA8JuybPL1bHz1HEKo6F8u6vGWbiTwH6Ra8hDhVvPtxbbw+jxO9jpKNPOS0BzzeA2a8JPPQO6ofJjwdW6I8D9m6vL7qCD0b8K86LXhqPZCPxbx5ini8zTtDPZ4GAD2H9r+7IX67PJewxLssjr+8bvj5O/nMBLwc+P47ufS2uxMwrjxdqiU7xvZLvHhSR7uQs0s8eCk1PDs/G7zbJIU8UxKJPHKvKTxU3LE8XVFXPH1Wq7sCft86kmbpO+1m8jz38Oy87m/jvKdnUDo9phM9YBFdPMA9kjvasEg8+lT3Ox2S/LwM4be8VG+PO9ZaNT0nMR29xqJ0vHI0XDwjRYk8NZ0/PBXr2bwbWG47GEkrvCQC3LqFSz88HVHpuVwh+TuQKGS8ZTqfvEJsCTwpufA8VZR4O0w4mDycfo06fVcCPc81ALyY27u82zZPvArCIDzcbsk8Z4/pPOaQpDzpQ4I8st4DPH1PMrt2spU8NrznO4c12zudfXA71iGqvJ1shzuPJAE9Q708PQZAvjuoOwg7GfkiPHRETbordoY8NZfuPACWZDwNPBo7IWPnvIFmM70z19e8fNS0PH+6RryC4Xs8lQ1mPHQ3nLx5qY67vVAWvJYjsjgVMMq7+d0gvQqftzyVyDo87BULvMOiP73pseo8xiltvP2p1LzfOxk7fsODvJIKM7ore9u6ieefu6diDbz/5ES9KpZ+vH9v1byfJIO8Vi88ODnmezs7LG8853upvDbKmzuYmb88HOOFO/O8WLyMITk8XDwkvWS6Wj20n8O8R/xwuwkFxzz/yVo7L8a0uz40oLz5N6+8vfQ/vGebZ7vtfKE7LKEFvGgQizx9B8s7HAMRPOn8tju7+iS8gbW2vHrUmzxD+Ym7vfXovBZ3hbwEmhE823DYvJYrLLttQR28uUS0PIr5u7uxdVc7ZiZLvCeWeLzO82+7zlUQPWYYL71gjQ280sKrPH99p7zN4jc8LpIgvKf1bbtORj+7TrAAvCb7oDupKc28gmMyPafEvbyGxac8pkWOvL5icTxJ7wQ9dyVPPM6uLruA8p48xb01vV7iZDysLIm7oH3IvGiYxjxeo/E8xgIIufb6YDxpIAM9VZG/vCIRoTzufjK9F6ZMuyS3Or353eO8M5DjOsKyzTyQrhS9zYd0vFZDyLyYV4A8gcZcu9ylwbstZ1W8mcjNO48vkrx63AC9tcZSuWqwPLyjuDg7ttLavDEJJDyy9Jy707TKO0nVOD0rfWO77SA1PN0cDrxLECK9isV4vDSbvDy98Jy8KluUu8p/urzTuiC9K+qNPG5uGD0OUeU8dk+rPObVADxI4tU8xuCevM4mEj3nFjM80jDRvJoGkzvtaaK8ENyrPIdUhzx0JQS8PpLcPOPmNzxFqLY88x6JPP8dLTx6v4E7UKSuPN/lDLu17uO824cmParcTLupjZO8Yb3IvJHLhDsBFio8soMEPC+knTty3ly8+NCEPM8jijyrZmK8qYX2PKIkPbvQ5oK8U8IEOyybF7xwLCA9cqRpvDTWobxbBy48fx+BPJsYlLtxYDq9HqxbPII0IDtPWOU6Bx7Gu8kSRjwp5oE7oEHCOhDlHL3UrU87zj5EvAWfBz0PJ1C8sf4TvNkU8bvl0Jy75w7oupjuIjz36lu9zfiaPO5ec7x8WJO8dE8pvMJtUzluZ5C7mg7dvPrcmjsjSVo8gdBdPBwpwrgEBsu8GlAuuxdcRrqgzkS98uEsvPhIOLyUcS67SjffvC7H5bxOmBA6JG8TPOBeFbxVOVg8nNp4vLl7hDwWSwI9PS7OPGGg0LynRyk8arJ6u6G8XzxVGrY8ZqReu1X/lTxojGa8hYrLu+YkLTy15y28k7ABO/q+eDzAES+8BNlWOyXMujz6B6O8EJIRvXBBUr1+q5M8lMo4u6cLmDygyD09qC8bu0cIKDwN7xY80SNjOzFakDyj4bE71OlwPMsRWLx34sG8S4f+vAM0KLvIJ9S7094pO0AzID3f0kw72K76Nr6iJjzSpyg6YtMJPBpKCz2WK9i7Jud3vHYaRDwMlkS8EWwFvPD0krtDzUU8+EUYPNA+KzxLCVg5rXObu+F40Dsunhk6+MBovMvxLz1gTa48SB5+u+Ix6Dx96GK85TCVvF3197umzw87FC17PFP+H7xB3iU8oP/IvL3PgTskWfm7JIQWvVKP2Lw/hO+7jq2YvDdA5jtEmHE613OZu7TJjrulmt481wH5vFsbo7z2E4k8kW6LvD0najyMRWe85DkhPG2v8DoGjiC8gisyvPmCYjvx6+47zgruPHs5JDw584s8pO90vESGpLumSO88k50cPfHJhbvKkM+8lxuau/LyPzzKI5C8IQmSu3OMhLwsLNm8lwg1Pd+ZkTsyMqQ8htcEvNiopbyA/X88gGoOvWxegzyfjlU6edvVu93FDjw0mqa8CBL8O/BN/rgKG4U5pvN6vEra27yFaxI7NOIFuYrOHbuytQc81NUkvFyj8bpfv+q8ehyLu3eh4DsixEA77QicvHPT7Lxm+F26S2CmvJ1e7rsm7V28inICPD7dHj1qmAo8hlsGPEK9ZTw5SuY8xaozPA8407wT9Oq7s7XTvFbg4juH9Z+4ofRzOxnZuTtuY5E8u4Q7vK7ctbw0Ew+8LQ6kvIiDMjz52Wk8VnXFuyYWnryDuTu82bFxvO7Nrzwbeo68c/UGPJYms7wmRsy6qEJgO92vJr0WP2U8VBX8PGJafDuOUhM8vS0hvDAfNDxg/TA8IkQbvezFU7v4Ake8ue7EPC7+Ibp5B6882qgqvLn3ULwnHBw9zknKOiGEPL2hwsU82qDbO0FJabxMDmi7WaW2PPQVpjy/3Gu6ZIXKPJDaf7weDCW8u+v3PIiIIT2A8ZI6DaLSPBoV4jxN7qE7PEhvPAydErxJgTy7sdCVPP9iRDwIYoE8RmEmPMcqnbyb0hW6LrTtvJlU4zreL6a8ehafvD+XhTv+VcQ8zAN0OhAkgjsTD5g823IwvIR9FT17W7M8OpYsvAE2SDwZMJe8LJOpOhPpc7ucOIM8QYgNvbbB7rtnMiw996fpOqS/DTxBjfI86Q2rPDrRF7sJY5K7+m4RPfWVzTwn6+06W+OHvMpyeTyRaoo8V7vAumT1jzt53dO8coA9PGlgo7yZoQ09uEhmO8mukDvTWhY7m2+nvE26Fj0FYVs8QHfevICwNbuZUok8JuimPKW4FDyNnR09lhZPPDEzkbog0Yc7AzpTO3/bnDzPiDg8V02JPAMb+7wz6Aq9ToqEuwUuAL1Awsm8mGQWPcxDi7zlipG8SzIgvLjQ4bw7fzq8du3IPEWF6bszzJw8RVMquu27nbwsUtG8e3EAvM1rLTwUffO8x1YvPJ/kQjvKj7+7WPe9PI5ChbxFlSG8+zLBO7foID0hG2W8htbEOzorEjqr8Je7B30KvX2MeLz2wUc8753oO4jJ2jvLF4S8TwrIPDqEIz1Akxs7EkfCPBGPj7zV7BG8wMojPO5yPTzzfMu7jNzZPJeF+LyzXJO8hwCpOYLQZbzoGfC7eendvOXugjvbaDk8xGkbvVYNkbrFdz279q+YPLxzD7vHCjs8LfoGvVwPYTw9v2w7AEWPO8Zd0bvZaZI6tvKTvMgtMrxtpLm8KXH5PK6tZjxLegi8FBcfvPJ4Zrwvs/a7FU+qPNdPl7we+D88wpEiPdZllDxLCps8xhmSPE9W7bxF+ka80HCCPJEhrrt8mCA887Rzu3Q10TyoIqq8pC/0O0ApmTyO2cG8Gh92uzhsC7xtnNG8sgEIPX0/Fb1zdPS8J18NvE+zjbwPXGA8KYCZvNiGEDw7a4w8+WLQvJs2GTonY7u8sKsZvfSTnzz9Lt+8fvTTvKfejrm5Tw299VJ1vGicxri8SQE7Z/ayum4XWzzmRJu8XCiUPL/mR7zFNOc8Qld9vJebwzovQDm6JwPLPAduRTw6x2M866W/PAJXjLsBV1i8pwHHPCkkOrxyTXs6EMNEPLKYkzsT0HQ6qCQIubplejz+HCw8bksUPGOJHTw3+9i8jtjKOtD++Lxz3Hg8AdWFu7DQgLxBWp+8yhEwPPBAVLtibuS8sIWNvDJ6G70+5dg8eODDu5/aJ72mh3Q8Q/HVPCni2LybDYU8tEm8u4wK3TxooGc7NfWhvHO+ZLxGeBu9CQmLvPiJwzseeJ66M1VDOySlnjz+KJG6Q36DO82thzsJjKC79tpTPK33eTx4YKQ8wp2yOr2IBzsih+67f56/PMFQwDxdbMY8uzSAO4aiArzxPmU8ga0bvEDyWbxO3jS8EhgGO+JznTwQsXA82Y7Ou90gyDuW7EW8oNOnOlss2bw+oe67J3APPfINDb0AcGS8nQ7dvE+gmLwn0tm8Vc+6POdjoTv5RwY8ktfdvEbC/Dtqwxq9L2O4POh5yTq7mp88wRv/uyDYSbwwcp87VQlAPXyTkDuAoti6QbZNPd0gpjwZdt884aiQPM/eFDwBjpi64DrUOv0HSTxc1ZW8lf6JvC0ybDo+MT+9jss9OzwSQ71jd0w8c01RvDmnBjypyme8jSlku9hwgbwea2C95bc+uxMPALsLqb47CHnhu3s41byPEsY8hBaKuuOlzjw8wi28oRoWvTan6jzrXSi9pqcrPDz7ZLw+tuw7uieqO2ztejp+lwW8RAUVPZLT5rsB3uG8PR4cvONZRDwSPgi606TcPKlay7tQMkQ8i/GrPIBxP7tFAOE8wNxdPKkgfzyGdIu8bKOWPNDa1bvJxdG88FkFvIReobp6LKO8KkamPFiqMDuPjqk7JM/NvKqkebyGoP+7j3+nOXiRmjz7gbQ85/TLvGNDojqBqfC7vvqkvJ09xDvWnii8D8vpOov3/rumz7Y790TUu1CS5bwPMUK9e28gvBQgBDwZYyS7ZZn0ugqD6rwH8oG86C9Uu9CkNbsPKoq8Av0qPN4KorykSiI8OPBWPAROEb0vG0I90OfBvOSWs7yGY768gTQ7PDr7y7tK6mE8szSQPLkrcrwKA40703LNvEB4xDvoiP+7VpKZvDehSjw6uva7iajrPKsbuzzbpFc5u9WROiNZlTxX3K67VuahvMu6YrtloNa7v3NBPKlOjryT22O8LnvVuyEegruN0z88ecjXuwn6cb0DCNo86jMPPXdqIbyhgJs7l46dvPdDoDoGSEY5m2s5u0ato7tg3YE87NsCvbW8abwbHea7Y9qFu+LJxjz7zey7o0pUuwjLObxNfjW8+7hzu1+kIjyetMA8QclPPNbaNztP38Q8/AjbvO5fdbzBY0y6gZFPvDNg7Tr2zLo6ufbXPL3smzxC5eW8ThCEvAgDED19k+Q8XJulvOUwvjtydPa8aDdtvJ0RBTqb4ke8qBiIvLJqSTx0SK87/dTDvM3xwDtyiqU8tvRfOtcE8rzX0hE8LkJDu8X1hDo5vqO8C9mTvJmLEDzCtoW7bjWKO5wA6rwr1/K7RluFuhqYODw2qq08va+fPLd3yjwGA3E8sO/hvCWtyLudP/m7WsnzvGIWqbtZgw69mlYZukAjCL1PeeY60Iv3PBdOl7sniZq7u/0ZPSf0JbwrY6Q8yeAAPJXOCDyMW7u74f6tPG8f7rwXd+i7sjUhPBln3rupsj28puf8umECLLyCH5O8ns7PPFJUxzyHnZW8auE3vUeRKbtRjIW8aCwkOyjolbygUAG8tmFIvKm3CD3ChHw8KoHEuri5pjsP+wE95/4APVz/5byhQss7OQynPOUbnTxkSSC9uwa4POhndLyum/m6jfCvPB2UiTq3Cdm8EuHzOo1c8jtWX1I8HX07vKuFobxpMIq8K9MkPdOMHTxtsk+8xOklvMJoOr3wvk06vMRiPLiXNrxuqOq7PGtKvMuqmjzdQgO7YFU8PaoEArzmvxi8tGM0u9A34TwGrQY8Qu6CvMOSo7v3bUY8/KQ7PeCrvTyjI0s8boibvJWYGb2an0W8Mgu6vOpQKzzsMvo8ocgKvJ4j7TzmTQ68LTt4PE5S/TvB1LS8aTsEvBa1AbyzH+E7mxAEOtvLYLw0ecQ5LdiFuxGzS7sqIYi842ioPDn3mryqWp28UwD/O/ixyLsFlQ89ooeUPP5eorq/Eg88z5Ylu9jwibyjlkA42dnYOzfznbxCMGk8soM4PGOXrryYZmu8wk7YvEgj8juxIQQ8TTPjOhFrnrzpYtW8TzS0PJW5gzyNhoE79MVUuvgMkzyNO587/X/MPL9osjwhK0+6L0XAPBw1ujwNzee5T1L5PJNnjjpu6QK7kNWkPIg+ubzPC8o8fD03vGMryDsp60w8JXwnOYLBW7yBR8A7T2goPZOGCrz+odQ8fdL4uBeShbzAArq8WXdyvLcE+ToW4As8ZX4IvBdNw7wf8tC88mgZvc5Ygry5QJk6kFvHvDXaojwX3gg99Dj/O6kKoLx1BLi8+60qPOr5obwYxGA8RD+Iug== + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_has_expected_tools.yaml b/tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_has_expected_tools.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_has_expected_tools.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_registers_state.yaml b/tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_registers_state.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_document/TestDocumentToolset.test_document_toolset_registers_state.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_accumulates_in_state.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_accumulates_in_state.yaml new file mode 100644 index 00000000..fc529b6c --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_accumulates_in_state.yaml @@ -0,0 +1,122 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: tQhruW85IjwZwts6qP3LvKol2bpy00c9FtedPaDporxCNWo8yd/HvIBoSD3ZItg8Uh5VO6nPDL0uZWU7C7a2O532H7x4qHi9v6UkPMvzzrp5XkK8MDNjPA4d8TtunO68Dv6RvJNKILx3Q+O8AQ5LvQEEC73KvJk89uLiPFfllbobYi467myXPLftnzubPI68MT4PvAq3DbswCcu7i16aPMq/LTybth88NNi1PNFcIDwJ6qQ8LDSBvVHVODyCziI9eeuLOrnDFL0ZG4U7G4TDusuOyzyQfMK88EaIvBrIyzyYjie9oBNsu/hwOr3k7CW954YFPAixxzxZ1lW8EcvjulUtx7swnCy8LK5Zu8gjLbxXxgQ8KUyXua72SruDbY09gQehuyjBczzUbNe8k5yFvCJ5I7ytcrk8nkf3PAIodzwdkQO8hlCFOyClEzsTNGY9uyS6O0hUaLyYPrU5CEW7u3l3hrvowem7HUUbO89uLjxc4au7jJ9JvNwVADrulBw8rjZWuwjZr7zodFS8kQk0O04HJzspkQq8mGHlu7fHVzzowbu8snCFuUEcPrxuFIK5v4tyPNEcOjxgU9K71vJKO1mzkTxhRgw7sKIpvLFCS7xrovW8Q8y/PEEeVjySSTg9F2Q3vJzVrTxLRfy7akcwvR//5bszTuS8pGAdPPvnnDvWhYa8W7W4O/7FNzytDqg64Ehku7Ynlzu9KGK7V5UOPK+YqDoACoW82LSCus4kZDv0yMI7g/ogO9sLFzwJt4s8aXFdvHtRDjtBRiS9RRc3PKqktzyuDtE7Wm7ROxzS67t+BnG8A66CPIrEMTwLSwU9xTLUOzxeXzzmbYA89Ij+u2nViDzoTYC7BmmHPLnDcD0dM7c7TZs5PCZJEr0TTmu8Grw+u9AvrLxs6Qk6aO3PvK7wQLz9XCw8hDHmu7spRDz8FY+8963Su3vZZrvsmai8t0hPO7DIzDx8P5G81E3VOxNmbDz96sg8wGopvNbGmDw7IGc8gD5kPNsGULyLOFo6vPZtO4AZJDx71Mk743SGu8vQ1ruHFqg7AcmmO1OJgzz3dtU8tTMMvE79qTsnuJG8/eBDu+RIgjwxLWo8HZbPu7StELnPPPm7qLh1PBlW7Tsf4ye8a538vHEXjLp2NHE8zpaKvDaRbLyvah08+7wgPfamw7wiue081JL9uhIOkToxGoW8YK3JO5XhjTxWNog7iR4SvL3juLuuNyw8hZIiPI4rUbxfTMG8TackvB6agDzbcgA7vbxlu8sEIzz9m028MKbCPEeGzLySZIE8U2N4PIPhTjyGgcO8iAc2OiZXiLxoewM5hprvvN0KjDrWY9+6KR8kPD7Ok7xBix47S3ZEuxfZt7y63s48bCaHO4V4w7sP0Yk654hdPVapHTsVGBo8ACGHPMxb97w30+i7rGCIPA5TkjsyUgA7C871PCMZLLyQck88A2UFvN4wm7ysnz+9x+HmPAQOqzx83588AiTMuuEaV7wsxiI89GeRPH9Zkbvq8TC8vREBPezZAby9QMY66kpwvO+2gDwLcac7sbdWvSkhhzxFzSi7QE85u09Vgz2i5748CMmqvBQtD7zANVC7Vf9Yu0u+ET0M5bG83yY0vG66uDylpLw8h7t0vIvHezwRNSG7kRC6vIpI/rtuzq+7NDJbPBaBgjwua5U8/XgEvcbRZzuMNec5t4IfvPDoOr3a/Gc8e45VvcevhDyFYzO8sN1qvddhrrsZCuw6mqlqur3nar3LSXW7OWilO/eODz0d2IC9rtTzu73K2Tz8UH+8pcP5O2bILTwgGRo9lOxoOy8WnDsAgKy7WaDlOzcEbzs5PIi8B85kPG0kuDxXBE+6qVDLuxrC4bxLp3W8pGVevD9GGr0fx4m8148tvHH5jDulAwK9soLDvK6YvjpVAR69oGIOuxZgaDxk8S086LVyPM1OGLymDxw8JhTmvB/X3roSUyu917puvArv5bvUCSK8fKZ/PFeeHrzT1x08D1MMvMQYLLwM8bK83xKvO3nsgTwCSYs84JaTvMkXwLxeyN+76VXBOsWAnTsEBfa7PqggvNzRrTxQ/Eg883gpvNnqJL0++Jo7LowcvFNwGb2g/lw9GJOEugIDQzzoh1O7Bj3fvHnr9ryFW9q86MD/vPPGxzwcsAw97EZZvPaJtLo+GDE9Bnc1PB0CFjtqOyo7urigOIA3tbtDLt27t8BMPHuvC7ooMuQ8en2jPCLogr1PyEy8/UAfvIaIMLznNAA7pVeMvGxXyTznSUE8/O4pvFVy0jy5E4q8i6jvui0QlbzLP6K7QnkRPWtSjTwHX9m7LHJkPKz+AL1z7Tm8RDXQu/PeTDtdrpO63hOmvJqxkDyT9/47OcfOvDRaYbxoxGU8tDsMu+cb5zxgm4S9LdP5vFVVY7wSG8a7uGnvvBDEPLzJcig9p/4nu39Q1jyXiPu8Flonu6D3y72G5sQ8rL6FPCg48DqXaG+8PjVdvMSpAr36Vbe7kBGYPOshLTyp7KC8e6+QPIPfqTw3W4y7jAy4vDbYzrtenzo8YByMOwBdjzw0YH+8gqG+urkia7xKI/u7ErcjPHRAcznVAhI8v5XCPO/X7DyrYCs84YGDvGRsTzyEabC8SF26PAwp47xWor06BmOcO4rVKjzJtme8voiGPA2zSTyiNEk8yUKmPMstm7vn0/q7Jf4Avey4ILxc6Ak9cs/dvFfvUDt6sao88Z//u2YZmzxL0eo6W3Q7vcWJwjzC+tC79qmTOZ3zmzxLyS06UBsdvDIaXbtKnCm8xQ8DPUGefbzqfC+9lFmPO5y9CD0v1wO8wFMFPCuJTrya0QC9tWKmPHt+mrwuQtE7+1wgvfcZ7TvpiXW8Xh7pPFqoGjzIHyw8eqv6O6PxpjyVcpi6R3MsPER0oDsdCn+83qqvPKGZn7zbwfU7iL+Ouo0wGjwx11S74DnIvFJNf7zT1sw7BOeLPAsPjzyduSI97M+BPHsODT1vIKG7IMGqPHBnxjuwCYm8tWOzPI2VxryPDp267tokvPHkBDsyTAK8B4NYvKjFq7q79tQ7rLMRPKxPx7xdhTq89XsYvU7v8jsCgyq85glPOrI6yTsYWwM8tUYNvAxAjr1+7Kw8U1ICvfJeo7xMDcw85vcLvJqcvDuDrg69e5vlu6k4OjycpR08/0W3PEFUlLtNxpK8TwN7PLvcXbwrCdA7pxmQPPC6NzqDNrs7l0tGPCz7sjq+MMu71L6MPH+jyTxl0ri8eMGhu2HOn7xQCxm9wL+iu6HK1TzczJw8k4CVO80EkzugkBW7R2IhvIDgPTxC8Py761aCvMBasjoQgJi8S+p/ujYMKTvM6Be8DSOIvP11krxsz1U6MfXqO+jQDjyPH7Y7n2MGvAauWTv+lD+8dHE7ve8RJrmDAtK8AT3JOztJ1Twr7pc8E8owPY+XxTl6yhs9+F22u1dQ0bwKHYK8rhIrveFEmDvBJ/a7JlQBvGQ6kLwnUne88SJjOx1Sar3DJcE82QwrvU+Y87uK0Eg8/x6QPJPQIzpu0Xs7ot45PDWMpDwFlFu9sEgGvRXf6jy/REU9WGTePAzo87z7o2Q88mQAu8ABlbwdPTg7A94CvfOQQ7l3R3w7LmSvPPrrRr2CKOY8LcZnu3ig2jvHm7q7UKELPfIiCT06Oee8nIedPFSOaTu7AJM8Nx8rvMOuyzybr4I7u2Alu+Gz0TzoF807X3wUPCqKqDzD2/u8fYLIvKikALs3oi888QJUO5zfSLyG3Aa9rpoCPY44nrzjS508dMvVu0prUDzGhgq8zLqSvEL0ZL1ErXK8hEGxPK20hTwiNni8/CM5vL3PyrwutZo8dd2PPDW3ajxjRbi8AbS/uxKHgrzDXHU8x4CPPAeIxLq6CQa7g+8GPdGGqzxJ9DC8e8ccO3Oe7jzd7Q47YAcCvG1roDt35I48Oj1ovN+noTy/Gei88EjDvKhi9TvFm+S7Iaz/vLzOljxICKy7jTpcPLD4Nz3oMxA74VYKvWBP4jys9WG7/0ETvAYKXzwrDcw81PzoPPf9mjzkz5E8gQ4tPX+8xrw38668tB4MPIw7d7w12528LPMbusZPMj19JAE8bc3LvNNJqjwaxI28DZ8hPeuIDjw1qIa8MynyPAgPNDwBVuc7olaovK8dADxYf5I8jz0HvMNNHL2vhLe8zkjMvK6UQL1NQ1o7udSPOe/+Qr0BmyC9Ywy3PGLgkTwBOi09/HkGvET7Ar2Nrig9cK2rus+K5zxIRIq8CrPLvGq1Yjz+TE67qm9evGv8zrvaZJW5PpuAupopCjy8OWg8gmrnvOD+fTxH89Q8JWD3O4nUkLzGzZe6DsyCvC8n7zk8U966JvASPJI4wrzivCY7lW8cPdg2qDyVvzw7HVHtu2BHMTwr4t87nUa2vK0zuztdEfW7Gp96u5Q6gTzViPS6XVchuzMuYzzuIAw7Tp6+vIv2irx1XBU8G6G/vCIuIb3Xifc7Sm+BPHfamjwLlxK828ZjvPz/OjwYw6484cfAu0NxGLtS6EO7OBUXvAJ2GjzsR/084ueYvLleHbxINSc8y1y6PA7jCD0t39i8TLkVPYWiITzo2Ds8/ytNveGgEL1ChwU84GYAPeE4IryXUi896DGZvBbeh7zOVYq7tjt0OiTQqTwCYw885ImKPJMAFDv28mw77Bi+PF9xFLwV/bc7yLzau4cTUjpkchG9og3SPL3sejzvhcy8N8gHvFKhbTz1CCu7WkgwveufTLrQd6m6JJeQPNkPp7s0pAM8KDDYPEKGHjtohKC7vBvKOjEiHD2Da9O7QBMrvBFn9DxRj4k8MLd9PH5+/zwI/kk8mOU8u8ljLzurT367xRq7PILhhbx8HPy7Iq0WPWdX1bxcJhe97OeRPMZSQTy8r5w9ww2AOsHpCL23tbU8Th7fu6eLfjvbSbQ828U+PWakQjxHDCC9K6n2O2RHSL21Frm7m13IvOKzAb2LsYG8067FvC9Od7uQwFa8zypxPDivqDxEDcE8gEXVvEwFibz+kY+8ISe/PAGkBj3zzY47SqFZuxpK0zwsAwk87/HuPAIDJD0qBSi8n6gLvCa3o7zfo0I8AeIRuq73jjtUCR88YNFkvM9UmDuvCLk8DaMCvT05E7wq5wQ9O8wtPMflW7zNsfQ7UB5xOjOsaTzL1T06yrfxuhLLvrw43aM8bLWSvD+6Bzu5avq86jm5PAK4fTyOW3M8eEo1PY8jyjzelbm8xClmPJSpbLx8hI66BFyBvGnBMr03odq7ygyxvB2a7DxzGcK7YpXLO8Y3nDu4Qa+5ds4kvLNY3zy+Mxk9GC0pvQIjjjwEW7M8zyZePBtGC72z6/Q7AM5XPB6OBLz8YpS7n/FIvGrINzzennO59x2OPZVBDLxmcb88xhKAu4Xk47wO9do7d+ehvBn4rLvIZV08897UvJqb4ruWMmK9ywxZvRbRTrz4Eqi8MeykvHZQHD1Sds686P0+PSSTlTzImaY8KP+GusrXzjqPnsi829qMvKionbqIM6O7fJPQuy6gLrw/wyS61LgevMdAlbu7sS27YcaZu8Px4jzbguE6hqgwvPRIJ7zx7uo7hXtpvME98zyA97c8HHX+O8sjPz0r1M08cp4LvG5XrLo1uUG7Bb+xPLImsLrLeKQ8yu/kPD+2yjwkaYE7EZoLPckUp7zA0wi9xj8yvZMn8ztO9Q08Oy2SvK/GyDzLDKG6TwtlvLPPkLqgwJw8fyCWPFEK7rpjQdm8o3jNvJ0qtzoxlZ+821l1vU3nGTzwXxC7uuUovHX3gzuFPue8AT3WPMtj3Dvkjzu95GaIPNfQy7tf/Bm7/8ujvA8CTTwHMYY873ETva+VFr03AhE8LxIIu85oiLs8vFI6t9xAPPF0+rtuPoY8kbEkO4DW7DxsNJ676YW+u5kKV7wPOso7k0tuOj5ue7q8C4O82spoPG6ddLzVloi7S5wbPfdTuDxK5iq9QcYLvcHUqLzFNoc7BBpZvNNeYjzk2oA84rOfvJJa1zswzR48Mxkuu5SpU7uuhdC8FdA3PNPlvDz9aZy8mC/1PIiv+DwXKvG3PLgHvF0eTzs7Lx06Ho8gvJu7Rj2TQd+6aOqsvEdJprsa9nU9UgbkvIwfIj2LH888gLLJPPLBmbueeig6ebE1vG+ug7ynhQU83OyyO5YuUT0aFR87NS3TujObJD2Scuq71757PBlamjzuQpw8aZNOvf4ZJDz4ViK6n1VGPK8cyLuSMXm8dsbRvPOIl7xDRbw6wsonPA9vyDthhxY96HtpPd3wMTz89Jg77asevN9vhjy9+Z28R/aSvGa1j7w03Si9ifyoPIl65jtETCe7RfMkPLW9CjzEeLK6JyFyOsvwqDsezaM8ebkhPG8yPLwcUqE7WU4avcckyrwafE+8ENYUvGw9Cb0cL9W8z5bCPCOTzjvm01i8nhJavXtb0bxLVRY8NcktPW0rNzz0PyM8ZEyhPOH5yDxMNsG6nLUmvHU4bTy1na68/83rO8FdY7zrRhQ994KsO632mrzi++y89HEbvQN7JDwXIbG8LQQvPNZ1Bb1xZ/I7jzKiPIU5QzrRiiU9U4DCPM82D7z8API7CPdqvD+JVb1fn7s8KBQIPKdcTDzB8F28k0j5vMBCxzvb8ow8w+wlPNn9C7uRh5K6BPrUO3Ud8rwXEeS84ZePvHGrgDklwae8tK6Ru8K0XzyMLRQ87Y+KvICjuLwfaeQ8gHQ/PC3lu7xZh1w8s6AqvFqHvrzIkqW6OsKxOgENPDxi6Yk8q2CnOlIAWTxH9CE9RHPkO6cesTtfsua7pxWmvAlkjbxjHMS8goRQvHu76juMZjK8peKxPPGFq7sj2pa85sgSOvvKEL1OFtK7tOXhuJW7mLs4Z8C805qFvJeoRj1de8S76BKNO75prLrwhEY6szCAPAQO1zy+2zq89Kudu/pc/bulUZm7Evb6O59LFjtWrPk8wJIAvTtKpzwBjLa7AhRnvEJlTDx+v+c7yfyqvMN26LxuYSo8DYemPPEV9bwCEoa8Oi3GvBd0Gb1jsWq86WifPIKrAzuJ2JM8zMRSvKj8ary5pQm8vWEFvTU9+busb9O8RcSXvLkiBr3e+S08WJ78Onh7dDt5Hoo6F6QavM2mgLzcOZs8LOkRPVvozbztI548ke6zPNG1rbwCPO27Sb/EvIF/nLuSKVm8smwvPfoWDDxqnYM7vhm9vCtqkLoRrQA9UIfDPMnVUjtVMAG8f+INvY+pCjyxQTw7qRUJPCRu27v9fra8XM4WPY9shLyDmkI8yovNuUzwDD2CraA6ViC+vJ+mDz1cQR07AdMGPSwu8rtneDy7KUV0PamIOD0UXnC8s/rpPAK0lDzAAfG8hO64vDxXTrzy8Ng61yCGPDC7Aj24GwI9/VZ8vE3skzrJefe769h/POvTXDyErS09pfhNusdHqjulU0c90M6+u5FM7zx/uYO8iCruuYZNwjxe8rC6FXzjvKreArz061c8VPDKO+xFAjt3KQc8/T2KPI+cAr1xhw28laI/Owoi5DzyD4q8RIkhvSchlDxm+5m8wTIRPV82ZLyJfYs7VryEvNvW4Ts1MtK7NFQLO6zeCrwi9GC8NPGcvJJlHj0TrOQ7KQP7OzRoiTtOoIK8gXIvPEHYdTqqLai8bqgYvf+0lzwfGqY8p84NPbYBOT0/SBI8FAbdOitJlzzdHLs6MaaPvB2rMDyy3NE7YPrPuvnbB73gc3g8XXD+O/hGIbw4+Ck7+lRrPIk0g7yT7gk8GWwJPRsIBT10FJC8XkQAvfK36rzWaEC7Gb28PBkZbbyokwI96P4FPWEKqztBs7283ceGO2xPOrw5TG28uovtvK6igDzPtjy7jNCHO+4VlLxZh/08JWr0Oy9rD715b7I7aD2Wu7xo7Dv1R5C8oIL5O13qjzsaWnW9Q4AkOk6spLxMM/O8WwI+uzZ7+Tt3XKM8lEAxOvu6njwHmnA8QmQIPW2YdbyZUwM9pGWru1MAnDsXrBC9YHLgu4cBrDwo65462D55POIUEzsiXgG8Ru7oudRCsrthFLc8MzCPPPfWQTwHROs6DV0pPGFI8zxWkAk879mlPLgDdTw9ZHY8F67MvLGP6byHm3Q7OZxJvNG4lTtjX7k8d18FPLo+T7wD+co8MFEOOz2m4zuSwEa7aMIJPSKasrwHNG+7yj3iPKTntDsVocg8hjSeu6nywbo383G7Rzb1O/QgITyEBeK8HY/VPBELOrrnSlw89+MKPCxk+Tx50ok8fJbYvMdGIDyWDSS7dZh8vE5Crju2Pam7uDyOvJbn+DwqATs95mJGumHShbztNjQ8HoGIvEr4lTwK5A29Zl0YvFPmnbvrRtq7BmqfuQtEcTsurwK9Gw8CO9Ydy7wUoZi8VGeDvEKB2jyYV/K5+fIXvQtrFbzA2Oo7QkNbus6g5TsXFaW5vtyavByVxjwThqK7EMIcOycGnzx/qnE800eEPNBobjwDn5K88IaZOwkDzTuezNg7F7OJPDSoWbyxWta8XJcEPKzXET2PrLE899OdPOExizz6RQk8+wO+vGUrgDwYaiY8TyNVvG6Ttby83SG9++sBPWGZ8btpW9g5V1iUPFDvMjwcQ4e7hzqjO1ctmTz3LTG8ub2PPAYMNbwrkP68jhwaPWJDjbxfsSY8hC+RvGHkzDt25xw8NaKOvFxADrypwru6Qq0NvExChzxlZXe8jBn6PGtLGDs08F283tZSPPYVwLxePDM99cDRvPScm7wnWJA75hqwPHaEEjzIoEm9dN0XPG9v1brRzT86FjMhvPQVJLxwyw+7kYKAOUCJ4Lz6opc8hczNO53pAz1KVUk8ypiKPCSZ4rlgxZG7ovBlO4V0ETytwYK85NOKPIf4i7zyoLS8lQNhuywlzTvguEW8dV9svBGXpbvQ0Ys8xgMwvBYqzDyfqr07Wtz8uzqA5jiQSYq7EZjAPDxnkLy96+G59bIpvFuQw7wGzWQ7yJOmPCXJ1btncLm8Uf6RvCr0Ezthl4k8x7NpO1bMCLzJF3i7eeNwPFoYALylaJ88BqOdPECcTbtW7gY72pcGPBistTwwFRG8qpU9O02nPT0YaAO8yGgLOsEiDDxrl1G8GPEevQcyAr0H/D48Uf5cOrjaErtSbcQ87B+8vBax4Dt7dVE87k21O5p0Jzsq/x28CcS3vGdkHTwMWPc8EGJMvI/zhjzTIDM84CmpPJL36TzbiSU8VcqWPLKIpTxnQk+8CiuFu24cGT0MJtG8YcjBvGHBgrrFq0a6WGAmvI5SgDp6cgg8yHALPAe9Bj2HYIY8Q5tZvMcRNTxGTNC8SlDPu89zPD2fsIg8eug0OtzUhjwpjzE8R+qcO604irx/Erg7h2J9OxHfQTyhR4E8uKFGupzynLu9QEO8QquCvON3iLxg6NC8rTEivN2x+7uOH9O8PdKWPH0KSjydH4Y8Pi/GOn6sYDtv8KY6R+PwPJ5gwTz3VA+6UEKMPH9bqzx5vYu8BMihOFDYUzxy+3276/SSPKSUy7v4aaw82Yq9O2iVgryNnAs8uwwCPPcavbz+aBO8W5qLuufwBzy17uO89fCDO36Z9bkMSAe9B5oePcb5vLsFxEo8LJZmvH4fh7wFq508ZoEJvXMDfTwgsxk96Dk+vO7UFzwbCXs8SogovO8LAT3dxLe7HsvavN/GmrwymOA8vCFjOsLOibv84Ai5pdGrO4AZTLyfDbq89nYQvDiVnLw086Y82U1lvI5RQTy20N670G8jvCjtGjoZeYA8kcwjObU3zTyzsQy9bTEEPFN3aTyum308D7e1POW3wLz8hyu7tyjUvLgilbplkTk8+YybvISeEjzdpoo8DrTBvITlBTvYRhK9YV8TvTGjWDp0QlY8P/orvAufGL2MR5g8JJHMu97SGTyz8wi9y32GPPbzpjvGhKO8O3oQPa8GOb3/Ab27Wc+pPEs6mjwIJQQ8jqSZuYdqubud4ts7hInvvLWKOjwroiI8ic9XvH3Kqbu/uiA8495LvKpyqLw4Ly890n65PFsrOr3FQFQ86hxCPFkcI7zlk+Q7ggScPG5LizxAKyW7IRWuPIWR87vaQ4y8jzF9vOPadTxfxEg841wpPM3Kqbt7AYK8VJBoO/P447t3zF07/+AJvBmqELuEUig8U7cNPOlXgbtQZqE7evV3vLWE+7sfMN2530RFvVvbzbwIiHM8rc5WvFSYITyL4Ko8pp7hOhwaAD3smro7EBwUPE6CVjvJ5mO7xVM+vMWMZjyiSKs88ENRPKOEtTrvP6o6/qyKu0UXBzz4Rqs8iRgvO6xJODwU6dS8/4R4PIK23zym/d+7vgZfvGfn/jszF7e8gVmtOzgGfDuve/g70nuHPJpmlLwBXLA8LjQ1O9JVVbsEfEs73WJouz/+3jxm+9I7t8IDvSCsSryfmAS8h+Vhu90GNDsuRJU8spYsvOrXRbwZnrG7KH0OPXeFyTmdY207rQI1u+Bn3LxiEhK89O8Gu8m9JDynu8C8Cs4MPQqgybkO/y68tK2qPPSR17ywbsG7vcGPPDL6gzzxhZq7adiMvCuZE7y2wiC9/L/8uppGbTxcnZO82BuAPL3aijuOgRS87SrWPFVEKL22KpG7T0UBPXqbjjx68JS82j2UvAiBTDo2XHc81ThQvAUhq7pVib88YgRRuyWUbDyi9O+5413IPHP+JD0C6DK8oxWhPOvly7ys5ha84tCnufjQRrwuPkO81mcAvNP0Hb3gjww5+i2DvG8GFb1byAG8tRHDu4A8Cbus1Ou85cz9vJT5GbuO23W8nA9KvC77qjsYlyS8x6N9vKtDjzoYNme8mhVFPOsEdLxNVB04lt2wvJY1Ib2C2w49AJkHPc9sVjyC34i8wQVJvKyydjylpmG8FstIvGb6OLzYGC28bBn1PJToFTwGqSe8Ms4pvF9ek7x/pja8TOibPMO0LDs7xtY8QG29O6ojvjz5Q868IN0ZPBP6SDxU8rS8bZaAvGUpgLxZ6V69KM22PHj90DtLGu+8ET9Au5L0h7xjpCU87S0WO93Tjjz8MQS8s/tFvM1rFLyVVB29rv45PESq9LtirTA7p1bOvK2Nwjx/1wq9YYMmvOLldrzK87q8bqaWvCbokDz029C87dITu7JTDL0MvwW7JL0TvAxeeLxsh1C7M/nEPB/BDjza+BM99QHCPBNWzDtqg7C8SKAkPEDMubqz6TO8FI1mu/ZjCDqU8NM82jBDOkfoGrzwTb48tOXrPI1MXrwL/em8ZjpePGQjR7yRiJg7XktSPL28gzxO9lg7mwnWvG3ddzvnIsO8RbdDvNo0M7xOIZa6a90IPHGlEL0F19E8mqK4PKcOubsJgUc8X/70u9U53TtmbMS4q0zHvD9IibyXsFa73f7FugY0OjwHrx+8Nv2PvETssjySIwW9vuOHOwAtrjz9ikc6lL7WPK0u8zwgsEk5U3dRu2Nr+zscAii8qGKjPIye8DyTxyC7KKhWvE5RwDsDNrs8G4l0vJNAiDraeNw88PS0OxfP0zya3qg8i738O6DTlDxCefm663RJPNa+5rsJuRO8mX0CPGhcZL0vxHq7ukQivQd//rzF1Ym8Ka6BvKkfoDs79hq8yR82vfZDCrxWKSK81BOgvFpivLp2gT06rHcLPPw8h7x63lg7FISwPFp6rLxRYI885AkHPSs9rjxnI8876ZTVPKADDrqFVSQ8RlRAPN+Knzq6J2i8llJzvFKvPjxY3hW9+dSyu1SBZ72/gjc86FKMvCNmgDwTxvS7K4kHvGtzJr0LaCC9EVMLPKtsPLu/GO27M/rEu73cd7wO4gQ9NoZdPBz43TtAj/k8mm1KvA23WjzRnTm70Z5DPdCOsjzSpes8j2ylvBVHfDzlPC+8PJtNPeX91TzUxQ28b1ySPA+VA7wFTjY8rr2oPPn4jbyr8xM8UV+AOw7TMzuSISk9fj/wPOrKBD0Gb6u7XMomPGTyurxgR7+8R8rHvHe24Tx9CVK8JmOhOnA+mTyqP828Z9nQvPYIxbuDvJs8OZiFOlIhBjzgPYo8nemEvHfYF7wcR1Y8JnAevcmBDrx5eZW8UhrZO98NPLsWwaW68F1rvB5ohL16WRy9mx/Cu+8zaTt+xny8q0wCvB0W6bzlt0E70r2PuscgMjyDg5y7jnh3PC2cQzy9q7651rsIvG5Kz7zUcYE8d+2bOzWo1bwE+k+9UaOXu/QGgDzujKW7riGQPH5JjLsvS3086OiquhS7Ers2bHK8PZDSvD73q7vX/WQ8bPegO2gnSzwM6gO7WqwOO/3krTwmNmo8GKW8OlO8PTwpIhW92K2evF9N2bzZmxI8ZmcCvNm01TwKy5u5GmCYvK3wDr3Q+y27wRZLO4hlgLs/AI48Xx02vEWbJDx2bpW7wA/zO2JYrDzFBli8mWikvFPZITwkZoq8XhQ7vPjWHDx56q+7vIQ2vDsuMrwc0Ve87sLAOxsFpDzageU8cokgPKPRaTzzdgE92QJFPMFO8jpXkfO8jy7KO/lnEjyH4RC9OZY3PC8CHjx8GJm8Ow1XOxfWDz0seiE8J52FPBiFAL31eou8QCmLvHWERrx+bW+7XrChvDTxsTxuvvm8lab5ufuuVjy5ojM9gOnKOyZjm7wKA+a8AnE4uRvgarzSV068+xMru+PtN7xo1jI63CwFPO7e2rxmqDS788YJvMgXb7uWHye8UpjmPKg1TTwf6Y08qO35vMrR2zqyVl45cj7mvCo+gDwaEuG7t/yiPA0AqrzGs1o8b7TOPOJWqbwD3ZG68rgtPf9ZUTx4kKk8/eA5OYqu1btQ0ne8xLaWOf2EIr0S7pe7Ztaru/4b47tk8mA87NmSPGd0cLw+Rt68J6QZPV5XlTxbEpE73mPdvLfCYbw5KTO8RostvNk4njz0wci7XTtCvLTD7jqyw4c8sNqdugVGHzz99xE9Bu95u6uNAb37Fys8+S18umh8HzyY5uy8EVh6PDF/dDzMvyc8+IT8O1lAAj2eBRq9opu5OtumtLxL+u070O7FOphQH7x7RbG8l56DPLtQRrvo/CC9JsBwu8Nu0rx9pFA86X3KuNMQdbuMgvk6ZnRfPNRJzzxgqBI86jTXPDnPfbyoOdu8hZCVul2bAzzXJ2M8iAyrO4QCTrwNTN08Vqy8PE7hmTxZ9tI8WE+YvGKghrycC6C8F77OutGKEzyp7cQ8fhIhPGFWxDz10M27tAwPvPvo5DryiNG8VzemPHvmprwhZXw8+TmuvKra17td2oA8/MeevII3gLwGnWM8EDe1u8orOLziKO26yBs2PNAIcTyJJTo9AbuoPOTRJjx3d0e7gjDzvKLkE73cYg87JDrsO3U61rp1Ng497bm3POUS8Dv0LDO8e7GCvOUKvDzinxs9p5iQPMwZTrxMHW28dRKZPEQNiDxZR5079gNWvGIMobvBIGe8IQdTPBDuFTzf4JW85HwsPaRY8zvZtJq6HJboPHm7DTqiOc27QQotO4hpdjshX7s6nYC0O5BNlDwZ6pO8wexdO2HNKTzBBss7mhpfPOrxuzoAhuc8D6kdvP9NDDyPXDY8FMifOakT3jzWlmQ8Ka9TPOw7OLwihpC8cToavXlyEbph1eG8VxqwvPGgGbzsQN+7UYeHufNqkbvlNyM77VxcPKpfRbxt8nw8zj+bOw== + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '76' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_multiple_accumulates.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_multiple_accumulates.yaml new file mode 100644 index 00000000..20321446 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_multiple_accumulates.yaml @@ -0,0 +1,162 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '76' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '80' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_returns_formatted_results.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_returns_formatted_results.yaml new file mode 100644 index 00000000..fc529b6c --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_returns_formatted_results.yaml @@ -0,0 +1,122 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '76' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_base_filter.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_base_filter.yaml new file mode 100644 index 00000000..0eee57f0 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_base_filter.yaml @@ -0,0 +1,122 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '81' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - programming + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_filter.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_filter.yaml new file mode 100644 index 00000000..0eee57f0 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_filter.yaml @@ -0,0 +1,122 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '81' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - programming + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_no_results.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_no_results.yaml new file mode 100644 index 00000000..2e38d4c6 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_with_no_results.yaml @@ -0,0 +1,42 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '78' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - anything + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_without_context.yaml b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_without_context.yaml new file mode 100644 index 00000000..fc529b6c --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolExecution.test_search_without_context.yaml @@ -0,0 +1,122 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '76' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 2 + total_tokens: 2 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolset.test_create_search_toolset_returns_function_toolset.yaml b/tests/tools/cassettes/test_search/TestSearchToolset.test_create_search_toolset_returns_function_toolset.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolset.test_create_search_toolset_returns_function_toolset.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: tQhruW85IjwZwts6qP3LvKol2bpy00c9FtedPaDporxCNWo8yd/HvIBoSD3ZItg8Uh5VO6nPDL0uZWU7C7a2O532H7x4qHi9v6UkPMvzzrp5XkK8MDNjPA4d8TtunO68Dv6RvJNKILx3Q+O8AQ5LvQEEC73KvJk89uLiPFfllbobYi467myXPLftnzubPI68MT4PvAq3DbswCcu7i16aPMq/LTybth88NNi1PNFcIDwJ6qQ8LDSBvVHVODyCziI9eeuLOrnDFL0ZG4U7G4TDusuOyzyQfMK88EaIvBrIyzyYjie9oBNsu/hwOr3k7CW954YFPAixxzxZ1lW8EcvjulUtx7swnCy8LK5Zu8gjLbxXxgQ8KUyXua72SruDbY09gQehuyjBczzUbNe8k5yFvCJ5I7ytcrk8nkf3PAIodzwdkQO8hlCFOyClEzsTNGY9uyS6O0hUaLyYPrU5CEW7u3l3hrvowem7HUUbO89uLjxc4au7jJ9JvNwVADrulBw8rjZWuwjZr7zodFS8kQk0O04HJzspkQq8mGHlu7fHVzzowbu8snCFuUEcPrxuFIK5v4tyPNEcOjxgU9K71vJKO1mzkTxhRgw7sKIpvLFCS7xrovW8Q8y/PEEeVjySSTg9F2Q3vJzVrTxLRfy7akcwvR//5bszTuS8pGAdPPvnnDvWhYa8W7W4O/7FNzytDqg64Ehku7Ynlzu9KGK7V5UOPK+YqDoACoW82LSCus4kZDv0yMI7g/ogO9sLFzwJt4s8aXFdvHtRDjtBRiS9RRc3PKqktzyuDtE7Wm7ROxzS67t+BnG8A66CPIrEMTwLSwU9xTLUOzxeXzzmbYA89Ij+u2nViDzoTYC7BmmHPLnDcD0dM7c7TZs5PCZJEr0TTmu8Grw+u9AvrLxs6Qk6aO3PvK7wQLz9XCw8hDHmu7spRDz8FY+8963Su3vZZrvsmai8t0hPO7DIzDx8P5G81E3VOxNmbDz96sg8wGopvNbGmDw7IGc8gD5kPNsGULyLOFo6vPZtO4AZJDx71Mk743SGu8vQ1ruHFqg7AcmmO1OJgzz3dtU8tTMMvE79qTsnuJG8/eBDu+RIgjwxLWo8HZbPu7StELnPPPm7qLh1PBlW7Tsf4ye8a538vHEXjLp2NHE8zpaKvDaRbLyvah08+7wgPfamw7wiue081JL9uhIOkToxGoW8YK3JO5XhjTxWNog7iR4SvL3juLuuNyw8hZIiPI4rUbxfTMG8TackvB6agDzbcgA7vbxlu8sEIzz9m028MKbCPEeGzLySZIE8U2N4PIPhTjyGgcO8iAc2OiZXiLxoewM5hprvvN0KjDrWY9+6KR8kPD7Ok7xBix47S3ZEuxfZt7y63s48bCaHO4V4w7sP0Yk654hdPVapHTsVGBo8ACGHPMxb97w30+i7rGCIPA5TkjsyUgA7C871PCMZLLyQck88A2UFvN4wm7ysnz+9x+HmPAQOqzx83588AiTMuuEaV7wsxiI89GeRPH9Zkbvq8TC8vREBPezZAby9QMY66kpwvO+2gDwLcac7sbdWvSkhhzxFzSi7QE85u09Vgz2i5748CMmqvBQtD7zANVC7Vf9Yu0u+ET0M5bG83yY0vG66uDylpLw8h7t0vIvHezwRNSG7kRC6vIpI/rtuzq+7NDJbPBaBgjwua5U8/XgEvcbRZzuMNec5t4IfvPDoOr3a/Gc8e45VvcevhDyFYzO8sN1qvddhrrsZCuw6mqlqur3nar3LSXW7OWilO/eODz0d2IC9rtTzu73K2Tz8UH+8pcP5O2bILTwgGRo9lOxoOy8WnDsAgKy7WaDlOzcEbzs5PIi8B85kPG0kuDxXBE+6qVDLuxrC4bxLp3W8pGVevD9GGr0fx4m8148tvHH5jDulAwK9soLDvK6YvjpVAR69oGIOuxZgaDxk8S086LVyPM1OGLymDxw8JhTmvB/X3roSUyu917puvArv5bvUCSK8fKZ/PFeeHrzT1x08D1MMvMQYLLwM8bK83xKvO3nsgTwCSYs84JaTvMkXwLxeyN+76VXBOsWAnTsEBfa7PqggvNzRrTxQ/Eg883gpvNnqJL0++Jo7LowcvFNwGb2g/lw9GJOEugIDQzzoh1O7Bj3fvHnr9ryFW9q86MD/vPPGxzwcsAw97EZZvPaJtLo+GDE9Bnc1PB0CFjtqOyo7urigOIA3tbtDLt27t8BMPHuvC7ooMuQ8en2jPCLogr1PyEy8/UAfvIaIMLznNAA7pVeMvGxXyTznSUE8/O4pvFVy0jy5E4q8i6jvui0QlbzLP6K7QnkRPWtSjTwHX9m7LHJkPKz+AL1z7Tm8RDXQu/PeTDtdrpO63hOmvJqxkDyT9/47OcfOvDRaYbxoxGU8tDsMu+cb5zxgm4S9LdP5vFVVY7wSG8a7uGnvvBDEPLzJcig9p/4nu39Q1jyXiPu8Flonu6D3y72G5sQ8rL6FPCg48DqXaG+8PjVdvMSpAr36Vbe7kBGYPOshLTyp7KC8e6+QPIPfqTw3W4y7jAy4vDbYzrtenzo8YByMOwBdjzw0YH+8gqG+urkia7xKI/u7ErcjPHRAcznVAhI8v5XCPO/X7DyrYCs84YGDvGRsTzyEabC8SF26PAwp47xWor06BmOcO4rVKjzJtme8voiGPA2zSTyiNEk8yUKmPMstm7vn0/q7Jf4Avey4ILxc6Ak9cs/dvFfvUDt6sao88Z//u2YZmzxL0eo6W3Q7vcWJwjzC+tC79qmTOZ3zmzxLyS06UBsdvDIaXbtKnCm8xQ8DPUGefbzqfC+9lFmPO5y9CD0v1wO8wFMFPCuJTrya0QC9tWKmPHt+mrwuQtE7+1wgvfcZ7TvpiXW8Xh7pPFqoGjzIHyw8eqv6O6PxpjyVcpi6R3MsPER0oDsdCn+83qqvPKGZn7zbwfU7iL+Ouo0wGjwx11S74DnIvFJNf7zT1sw7BOeLPAsPjzyduSI97M+BPHsODT1vIKG7IMGqPHBnxjuwCYm8tWOzPI2VxryPDp267tokvPHkBDsyTAK8B4NYvKjFq7q79tQ7rLMRPKxPx7xdhTq89XsYvU7v8jsCgyq85glPOrI6yTsYWwM8tUYNvAxAjr1+7Kw8U1ICvfJeo7xMDcw85vcLvJqcvDuDrg69e5vlu6k4OjycpR08/0W3PEFUlLtNxpK8TwN7PLvcXbwrCdA7pxmQPPC6NzqDNrs7l0tGPCz7sjq+MMu71L6MPH+jyTxl0ri8eMGhu2HOn7xQCxm9wL+iu6HK1TzczJw8k4CVO80EkzugkBW7R2IhvIDgPTxC8Py761aCvMBasjoQgJi8S+p/ujYMKTvM6Be8DSOIvP11krxsz1U6MfXqO+jQDjyPH7Y7n2MGvAauWTv+lD+8dHE7ve8RJrmDAtK8AT3JOztJ1Twr7pc8E8owPY+XxTl6yhs9+F22u1dQ0bwKHYK8rhIrveFEmDvBJ/a7JlQBvGQ6kLwnUne88SJjOx1Sar3DJcE82QwrvU+Y87uK0Eg8/x6QPJPQIzpu0Xs7ot45PDWMpDwFlFu9sEgGvRXf6jy/REU9WGTePAzo87z7o2Q88mQAu8ABlbwdPTg7A94CvfOQQ7l3R3w7LmSvPPrrRr2CKOY8LcZnu3ig2jvHm7q7UKELPfIiCT06Oee8nIedPFSOaTu7AJM8Nx8rvMOuyzybr4I7u2Alu+Gz0TzoF807X3wUPCqKqDzD2/u8fYLIvKikALs3oi888QJUO5zfSLyG3Aa9rpoCPY44nrzjS508dMvVu0prUDzGhgq8zLqSvEL0ZL1ErXK8hEGxPK20hTwiNni8/CM5vL3PyrwutZo8dd2PPDW3ajxjRbi8AbS/uxKHgrzDXHU8x4CPPAeIxLq6CQa7g+8GPdGGqzxJ9DC8e8ccO3Oe7jzd7Q47YAcCvG1roDt35I48Oj1ovN+noTy/Gei88EjDvKhi9TvFm+S7Iaz/vLzOljxICKy7jTpcPLD4Nz3oMxA74VYKvWBP4jys9WG7/0ETvAYKXzwrDcw81PzoPPf9mjzkz5E8gQ4tPX+8xrw38668tB4MPIw7d7w12528LPMbusZPMj19JAE8bc3LvNNJqjwaxI28DZ8hPeuIDjw1qIa8MynyPAgPNDwBVuc7olaovK8dADxYf5I8jz0HvMNNHL2vhLe8zkjMvK6UQL1NQ1o7udSPOe/+Qr0BmyC9Ywy3PGLgkTwBOi09/HkGvET7Ar2Nrig9cK2rus+K5zxIRIq8CrPLvGq1Yjz+TE67qm9evGv8zrvaZJW5PpuAupopCjy8OWg8gmrnvOD+fTxH89Q8JWD3O4nUkLzGzZe6DsyCvC8n7zk8U966JvASPJI4wrzivCY7lW8cPdg2qDyVvzw7HVHtu2BHMTwr4t87nUa2vK0zuztdEfW7Gp96u5Q6gTzViPS6XVchuzMuYzzuIAw7Tp6+vIv2irx1XBU8G6G/vCIuIb3Xifc7Sm+BPHfamjwLlxK828ZjvPz/OjwYw6484cfAu0NxGLtS6EO7OBUXvAJ2GjzsR/084ueYvLleHbxINSc8y1y6PA7jCD0t39i8TLkVPYWiITzo2Ds8/ytNveGgEL1ChwU84GYAPeE4IryXUi896DGZvBbeh7zOVYq7tjt0OiTQqTwCYw885ImKPJMAFDv28mw77Bi+PF9xFLwV/bc7yLzau4cTUjpkchG9og3SPL3sejzvhcy8N8gHvFKhbTz1CCu7WkgwveufTLrQd6m6JJeQPNkPp7s0pAM8KDDYPEKGHjtohKC7vBvKOjEiHD2Da9O7QBMrvBFn9DxRj4k8MLd9PH5+/zwI/kk8mOU8u8ljLzurT367xRq7PILhhbx8HPy7Iq0WPWdX1bxcJhe97OeRPMZSQTy8r5w9ww2AOsHpCL23tbU8Th7fu6eLfjvbSbQ828U+PWakQjxHDCC9K6n2O2RHSL21Frm7m13IvOKzAb2LsYG8067FvC9Od7uQwFa8zypxPDivqDxEDcE8gEXVvEwFibz+kY+8ISe/PAGkBj3zzY47SqFZuxpK0zwsAwk87/HuPAIDJD0qBSi8n6gLvCa3o7zfo0I8AeIRuq73jjtUCR88YNFkvM9UmDuvCLk8DaMCvT05E7wq5wQ9O8wtPMflW7zNsfQ7UB5xOjOsaTzL1T06yrfxuhLLvrw43aM8bLWSvD+6Bzu5avq86jm5PAK4fTyOW3M8eEo1PY8jyjzelbm8xClmPJSpbLx8hI66BFyBvGnBMr03odq7ygyxvB2a7DxzGcK7YpXLO8Y3nDu4Qa+5ds4kvLNY3zy+Mxk9GC0pvQIjjjwEW7M8zyZePBtGC72z6/Q7AM5XPB6OBLz8YpS7n/FIvGrINzzennO59x2OPZVBDLxmcb88xhKAu4Xk47wO9do7d+ehvBn4rLvIZV08897UvJqb4ruWMmK9ywxZvRbRTrz4Eqi8MeykvHZQHD1Sds686P0+PSSTlTzImaY8KP+GusrXzjqPnsi829qMvKionbqIM6O7fJPQuy6gLrw/wyS61LgevMdAlbu7sS27YcaZu8Px4jzbguE6hqgwvPRIJ7zx7uo7hXtpvME98zyA97c8HHX+O8sjPz0r1M08cp4LvG5XrLo1uUG7Bb+xPLImsLrLeKQ8yu/kPD+2yjwkaYE7EZoLPckUp7zA0wi9xj8yvZMn8ztO9Q08Oy2SvK/GyDzLDKG6TwtlvLPPkLqgwJw8fyCWPFEK7rpjQdm8o3jNvJ0qtzoxlZ+821l1vU3nGTzwXxC7uuUovHX3gzuFPue8AT3WPMtj3Dvkjzu95GaIPNfQy7tf/Bm7/8ujvA8CTTwHMYY873ETva+VFr03AhE8LxIIu85oiLs8vFI6t9xAPPF0+rtuPoY8kbEkO4DW7DxsNJ676YW+u5kKV7wPOso7k0tuOj5ue7q8C4O82spoPG6ddLzVloi7S5wbPfdTuDxK5iq9QcYLvcHUqLzFNoc7BBpZvNNeYjzk2oA84rOfvJJa1zswzR48Mxkuu5SpU7uuhdC8FdA3PNPlvDz9aZy8mC/1PIiv+DwXKvG3PLgHvF0eTzs7Lx06Ho8gvJu7Rj2TQd+6aOqsvEdJprsa9nU9UgbkvIwfIj2LH888gLLJPPLBmbueeig6ebE1vG+ug7ynhQU83OyyO5YuUT0aFR87NS3TujObJD2Scuq71757PBlamjzuQpw8aZNOvf4ZJDz4ViK6n1VGPK8cyLuSMXm8dsbRvPOIl7xDRbw6wsonPA9vyDthhxY96HtpPd3wMTz89Jg77asevN9vhjy9+Z28R/aSvGa1j7w03Si9ifyoPIl65jtETCe7RfMkPLW9CjzEeLK6JyFyOsvwqDsezaM8ebkhPG8yPLwcUqE7WU4avcckyrwafE+8ENYUvGw9Cb0cL9W8z5bCPCOTzjvm01i8nhJavXtb0bxLVRY8NcktPW0rNzz0PyM8ZEyhPOH5yDxMNsG6nLUmvHU4bTy1na68/83rO8FdY7zrRhQ994KsO632mrzi++y89HEbvQN7JDwXIbG8LQQvPNZ1Bb1xZ/I7jzKiPIU5QzrRiiU9U4DCPM82D7z8API7CPdqvD+JVb1fn7s8KBQIPKdcTDzB8F28k0j5vMBCxzvb8ow8w+wlPNn9C7uRh5K6BPrUO3Ud8rwXEeS84ZePvHGrgDklwae8tK6Ru8K0XzyMLRQ87Y+KvICjuLwfaeQ8gHQ/PC3lu7xZh1w8s6AqvFqHvrzIkqW6OsKxOgENPDxi6Yk8q2CnOlIAWTxH9CE9RHPkO6cesTtfsua7pxWmvAlkjbxjHMS8goRQvHu76juMZjK8peKxPPGFq7sj2pa85sgSOvvKEL1OFtK7tOXhuJW7mLs4Z8C805qFvJeoRj1de8S76BKNO75prLrwhEY6szCAPAQO1zy+2zq89Kudu/pc/bulUZm7Evb6O59LFjtWrPk8wJIAvTtKpzwBjLa7AhRnvEJlTDx+v+c7yfyqvMN26LxuYSo8DYemPPEV9bwCEoa8Oi3GvBd0Gb1jsWq86WifPIKrAzuJ2JM8zMRSvKj8ary5pQm8vWEFvTU9+busb9O8RcSXvLkiBr3e+S08WJ78Onh7dDt5Hoo6F6QavM2mgLzcOZs8LOkRPVvozbztI548ke6zPNG1rbwCPO27Sb/EvIF/nLuSKVm8smwvPfoWDDxqnYM7vhm9vCtqkLoRrQA9UIfDPMnVUjtVMAG8f+INvY+pCjyxQTw7qRUJPCRu27v9fra8XM4WPY9shLyDmkI8yovNuUzwDD2CraA6ViC+vJ+mDz1cQR07AdMGPSwu8rtneDy7KUV0PamIOD0UXnC8s/rpPAK0lDzAAfG8hO64vDxXTrzy8Ng61yCGPDC7Aj24GwI9/VZ8vE3skzrJefe769h/POvTXDyErS09pfhNusdHqjulU0c90M6+u5FM7zx/uYO8iCruuYZNwjxe8rC6FXzjvKreArz061c8VPDKO+xFAjt3KQc8/T2KPI+cAr1xhw28laI/Owoi5DzyD4q8RIkhvSchlDxm+5m8wTIRPV82ZLyJfYs7VryEvNvW4Ts1MtK7NFQLO6zeCrwi9GC8NPGcvJJlHj0TrOQ7KQP7OzRoiTtOoIK8gXIvPEHYdTqqLai8bqgYvf+0lzwfGqY8p84NPbYBOT0/SBI8FAbdOitJlzzdHLs6MaaPvB2rMDyy3NE7YPrPuvnbB73gc3g8XXD+O/hGIbw4+Ck7+lRrPIk0g7yT7gk8GWwJPRsIBT10FJC8XkQAvfK36rzWaEC7Gb28PBkZbbyokwI96P4FPWEKqztBs7283ceGO2xPOrw5TG28uovtvK6igDzPtjy7jNCHO+4VlLxZh/08JWr0Oy9rD715b7I7aD2Wu7xo7Dv1R5C8oIL5O13qjzsaWnW9Q4AkOk6spLxMM/O8WwI+uzZ7+Tt3XKM8lEAxOvu6njwHmnA8QmQIPW2YdbyZUwM9pGWru1MAnDsXrBC9YHLgu4cBrDwo65462D55POIUEzsiXgG8Ru7oudRCsrthFLc8MzCPPPfWQTwHROs6DV0pPGFI8zxWkAk879mlPLgDdTw9ZHY8F67MvLGP6byHm3Q7OZxJvNG4lTtjX7k8d18FPLo+T7wD+co8MFEOOz2m4zuSwEa7aMIJPSKasrwHNG+7yj3iPKTntDsVocg8hjSeu6nywbo383G7Rzb1O/QgITyEBeK8HY/VPBELOrrnSlw89+MKPCxk+Tx50ok8fJbYvMdGIDyWDSS7dZh8vE5Crju2Pam7uDyOvJbn+DwqATs95mJGumHShbztNjQ8HoGIvEr4lTwK5A29Zl0YvFPmnbvrRtq7BmqfuQtEcTsurwK9Gw8CO9Ydy7wUoZi8VGeDvEKB2jyYV/K5+fIXvQtrFbzA2Oo7QkNbus6g5TsXFaW5vtyavByVxjwThqK7EMIcOycGnzx/qnE800eEPNBobjwDn5K88IaZOwkDzTuezNg7F7OJPDSoWbyxWta8XJcEPKzXET2PrLE899OdPOExizz6RQk8+wO+vGUrgDwYaiY8TyNVvG6Ttby83SG9++sBPWGZ8btpW9g5V1iUPFDvMjwcQ4e7hzqjO1ctmTz3LTG8ub2PPAYMNbwrkP68jhwaPWJDjbxfsSY8hC+RvGHkzDt25xw8NaKOvFxADrypwru6Qq0NvExChzxlZXe8jBn6PGtLGDs08F283tZSPPYVwLxePDM99cDRvPScm7wnWJA75hqwPHaEEjzIoEm9dN0XPG9v1brRzT86FjMhvPQVJLxwyw+7kYKAOUCJ4Lz6opc8hczNO53pAz1KVUk8ypiKPCSZ4rlgxZG7ovBlO4V0ETytwYK85NOKPIf4i7zyoLS8lQNhuywlzTvguEW8dV9svBGXpbvQ0Ys8xgMwvBYqzDyfqr07Wtz8uzqA5jiQSYq7EZjAPDxnkLy96+G59bIpvFuQw7wGzWQ7yJOmPCXJ1btncLm8Uf6RvCr0Ezthl4k8x7NpO1bMCLzJF3i7eeNwPFoYALylaJ88BqOdPECcTbtW7gY72pcGPBistTwwFRG8qpU9O02nPT0YaAO8yGgLOsEiDDxrl1G8GPEevQcyAr0H/D48Uf5cOrjaErtSbcQ87B+8vBax4Dt7dVE87k21O5p0Jzsq/x28CcS3vGdkHTwMWPc8EGJMvI/zhjzTIDM84CmpPJL36TzbiSU8VcqWPLKIpTxnQk+8CiuFu24cGT0MJtG8YcjBvGHBgrrFq0a6WGAmvI5SgDp6cgg8yHALPAe9Bj2HYIY8Q5tZvMcRNTxGTNC8SlDPu89zPD2fsIg8eug0OtzUhjwpjzE8R+qcO604irx/Erg7h2J9OxHfQTyhR4E8uKFGupzynLu9QEO8QquCvON3iLxg6NC8rTEivN2x+7uOH9O8PdKWPH0KSjydH4Y8Pi/GOn6sYDtv8KY6R+PwPJ5gwTz3VA+6UEKMPH9bqzx5vYu8BMihOFDYUzxy+3276/SSPKSUy7v4aaw82Yq9O2iVgryNnAs8uwwCPPcavbz+aBO8W5qLuufwBzy17uO89fCDO36Z9bkMSAe9B5oePcb5vLsFxEo8LJZmvH4fh7wFq508ZoEJvXMDfTwgsxk96Dk+vO7UFzwbCXs8SogovO8LAT3dxLe7HsvavN/GmrwymOA8vCFjOsLOibv84Ai5pdGrO4AZTLyfDbq89nYQvDiVnLw086Y82U1lvI5RQTy20N670G8jvCjtGjoZeYA8kcwjObU3zTyzsQy9bTEEPFN3aTyum308D7e1POW3wLz8hyu7tyjUvLgilbplkTk8+YybvISeEjzdpoo8DrTBvITlBTvYRhK9YV8TvTGjWDp0QlY8P/orvAufGL2MR5g8JJHMu97SGTyz8wi9y32GPPbzpjvGhKO8O3oQPa8GOb3/Ab27Wc+pPEs6mjwIJQQ8jqSZuYdqubud4ts7hInvvLWKOjwroiI8ic9XvH3Kqbu/uiA8495LvKpyqLw4Ly890n65PFsrOr3FQFQ86hxCPFkcI7zlk+Q7ggScPG5LizxAKyW7IRWuPIWR87vaQ4y8jzF9vOPadTxfxEg841wpPM3Kqbt7AYK8VJBoO/P447t3zF07/+AJvBmqELuEUig8U7cNPOlXgbtQZqE7evV3vLWE+7sfMN2530RFvVvbzbwIiHM8rc5WvFSYITyL4Ko8pp7hOhwaAD3smro7EBwUPE6CVjvJ5mO7xVM+vMWMZjyiSKs88ENRPKOEtTrvP6o6/qyKu0UXBzz4Rqs8iRgvO6xJODwU6dS8/4R4PIK23zym/d+7vgZfvGfn/jszF7e8gVmtOzgGfDuve/g70nuHPJpmlLwBXLA8LjQ1O9JVVbsEfEs73WJouz/+3jxm+9I7t8IDvSCsSryfmAS8h+Vhu90GNDsuRJU8spYsvOrXRbwZnrG7KH0OPXeFyTmdY207rQI1u+Bn3LxiEhK89O8Gu8m9JDynu8C8Cs4MPQqgybkO/y68tK2qPPSR17ywbsG7vcGPPDL6gzzxhZq7adiMvCuZE7y2wiC9/L/8uppGbTxcnZO82BuAPL3aijuOgRS87SrWPFVEKL22KpG7T0UBPXqbjjx68JS82j2UvAiBTDo2XHc81ThQvAUhq7pVib88YgRRuyWUbDyi9O+5413IPHP+JD0C6DK8oxWhPOvly7ys5ha84tCnufjQRrwuPkO81mcAvNP0Hb3gjww5+i2DvG8GFb1byAG8tRHDu4A8Cbus1Ou85cz9vJT5GbuO23W8nA9KvC77qjsYlyS8x6N9vKtDjzoYNme8mhVFPOsEdLxNVB04lt2wvJY1Ib2C2w49AJkHPc9sVjyC34i8wQVJvKyydjylpmG8FstIvGb6OLzYGC28bBn1PJToFTwGqSe8Ms4pvF9ek7x/pja8TOibPMO0LDs7xtY8QG29O6ojvjz5Q868IN0ZPBP6SDxU8rS8bZaAvGUpgLxZ6V69KM22PHj90DtLGu+8ET9Au5L0h7xjpCU87S0WO93Tjjz8MQS8s/tFvM1rFLyVVB29rv45PESq9LtirTA7p1bOvK2Nwjx/1wq9YYMmvOLldrzK87q8bqaWvCbokDz029C87dITu7JTDL0MvwW7JL0TvAxeeLxsh1C7M/nEPB/BDjza+BM99QHCPBNWzDtqg7C8SKAkPEDMubqz6TO8FI1mu/ZjCDqU8NM82jBDOkfoGrzwTb48tOXrPI1MXrwL/em8ZjpePGQjR7yRiJg7XktSPL28gzxO9lg7mwnWvG3ddzvnIsO8RbdDvNo0M7xOIZa6a90IPHGlEL0F19E8mqK4PKcOubsJgUc8X/70u9U53TtmbMS4q0zHvD9IibyXsFa73f7FugY0OjwHrx+8Nv2PvETssjySIwW9vuOHOwAtrjz9ikc6lL7WPK0u8zwgsEk5U3dRu2Nr+zscAii8qGKjPIye8DyTxyC7KKhWvE5RwDsDNrs8G4l0vJNAiDraeNw88PS0OxfP0zya3qg8i738O6DTlDxCefm663RJPNa+5rsJuRO8mX0CPGhcZL0vxHq7ukQivQd//rzF1Ym8Ka6BvKkfoDs79hq8yR82vfZDCrxWKSK81BOgvFpivLp2gT06rHcLPPw8h7x63lg7FISwPFp6rLxRYI885AkHPSs9rjxnI8876ZTVPKADDrqFVSQ8RlRAPN+Knzq6J2i8llJzvFKvPjxY3hW9+dSyu1SBZ72/gjc86FKMvCNmgDwTxvS7K4kHvGtzJr0LaCC9EVMLPKtsPLu/GO27M/rEu73cd7wO4gQ9NoZdPBz43TtAj/k8mm1KvA23WjzRnTm70Z5DPdCOsjzSpes8j2ylvBVHfDzlPC+8PJtNPeX91TzUxQ28b1ySPA+VA7wFTjY8rr2oPPn4jbyr8xM8UV+AOw7TMzuSISk9fj/wPOrKBD0Gb6u7XMomPGTyurxgR7+8R8rHvHe24Tx9CVK8JmOhOnA+mTyqP828Z9nQvPYIxbuDvJs8OZiFOlIhBjzgPYo8nemEvHfYF7wcR1Y8JnAevcmBDrx5eZW8UhrZO98NPLsWwaW68F1rvB5ohL16WRy9mx/Cu+8zaTt+xny8q0wCvB0W6bzlt0E70r2PuscgMjyDg5y7jnh3PC2cQzy9q7651rsIvG5Kz7zUcYE8d+2bOzWo1bwE+k+9UaOXu/QGgDzujKW7riGQPH5JjLsvS3086OiquhS7Ers2bHK8PZDSvD73q7vX/WQ8bPegO2gnSzwM6gO7WqwOO/3krTwmNmo8GKW8OlO8PTwpIhW92K2evF9N2bzZmxI8ZmcCvNm01TwKy5u5GmCYvK3wDr3Q+y27wRZLO4hlgLs/AI48Xx02vEWbJDx2bpW7wA/zO2JYrDzFBli8mWikvFPZITwkZoq8XhQ7vPjWHDx56q+7vIQ2vDsuMrwc0Ve87sLAOxsFpDzageU8cokgPKPRaTzzdgE92QJFPMFO8jpXkfO8jy7KO/lnEjyH4RC9OZY3PC8CHjx8GJm8Ow1XOxfWDz0seiE8J52FPBiFAL31eou8QCmLvHWERrx+bW+7XrChvDTxsTxuvvm8lab5ufuuVjy5ojM9gOnKOyZjm7wKA+a8AnE4uRvgarzSV068+xMru+PtN7xo1jI63CwFPO7e2rxmqDS788YJvMgXb7uWHye8UpjmPKg1TTwf6Y08qO35vMrR2zqyVl45cj7mvCo+gDwaEuG7t/yiPA0AqrzGs1o8b7TOPOJWqbwD3ZG68rgtPf9ZUTx4kKk8/eA5OYqu1btQ0ne8xLaWOf2EIr0S7pe7Ztaru/4b47tk8mA87NmSPGd0cLw+Rt68J6QZPV5XlTxbEpE73mPdvLfCYbw5KTO8RostvNk4njz0wci7XTtCvLTD7jqyw4c8sNqdugVGHzz99xE9Bu95u6uNAb37Fys8+S18umh8HzyY5uy8EVh6PDF/dDzMvyc8+IT8O1lAAj2eBRq9opu5OtumtLxL+u070O7FOphQH7x7RbG8l56DPLtQRrvo/CC9JsBwu8Nu0rx9pFA86X3KuNMQdbuMgvk6ZnRfPNRJzzxgqBI86jTXPDnPfbyoOdu8hZCVul2bAzzXJ2M8iAyrO4QCTrwNTN08Vqy8PE7hmTxZ9tI8WE+YvGKghrycC6C8F77OutGKEzyp7cQ8fhIhPGFWxDz10M27tAwPvPvo5DryiNG8VzemPHvmprwhZXw8+TmuvKra17td2oA8/MeevII3gLwGnWM8EDe1u8orOLziKO26yBs2PNAIcTyJJTo9AbuoPOTRJjx3d0e7gjDzvKLkE73cYg87JDrsO3U61rp1Ng497bm3POUS8Dv0LDO8e7GCvOUKvDzinxs9p5iQPMwZTrxMHW28dRKZPEQNiDxZR5079gNWvGIMobvBIGe8IQdTPBDuFTzf4JW85HwsPaRY8zvZtJq6HJboPHm7DTqiOc27QQotO4hpdjshX7s6nYC0O5BNlDwZ6pO8wexdO2HNKTzBBss7mhpfPOrxuzoAhuc8D6kdvP9NDDyPXDY8FMifOakT3jzWlmQ8Ka9TPOw7OLwihpC8cToavXlyEbph1eG8VxqwvPGgGbzsQN+7UYeHufNqkbvlNyM77VxcPKpfRbxt8nw8zj+bOw== + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_has_search_tool.yaml b/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_has_search_tool.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_has_search_tool.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_registers_state.yaml b/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_registers_state.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_registers_state.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_uses_existing_state.yaml b/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_uses_existing_state.yaml new file mode 100644 index 00000000..08355d01 --- /dev/null +++ b/tests/tools/cassettes/test_search/TestSearchToolset.test_search_toolset_uses_existing_state.yaml @@ -0,0 +1,82 @@ +interactions: +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '142' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - Python is a programming language. It is widely used for web development. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 15 + total_tokens: 15 + status: + code: 200 + message: OK +- request: + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate, zstd + connection: + - keep-alive + content-length: + - '134' + content-type: + - application/json + host: + - localhost:11434 + method: POST + parsed_body: + encoding_format: base64 + input: + - JavaScript runs in the browser. It powers interactive web pages. + model: qwen3-embedding:4b + uri: http://localhost:11434/v1/embeddings + response: + headers: + content-type: + - application/json + transfer-encoding: + - chunked + parsed_body: + data: + - embedding: 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 + index: 0 + object: embedding + model: qwen3-embedding:4b + object: list + usage: + prompt_tokens: 13 + total_tokens: 13 + status: + code: 200 + message: OK +version: 1 diff --git a/tests/tools/test_document.py b/tests/tools/test_document.py index 817204db..1aaeadee 100644 --- a/tests/tools/test_document.py +++ b/tests/tools/test_document.py @@ -42,6 +42,7 @@ class TestDocumentModels: assert state.accessed_documents == [] +@pytest.mark.vcr() class TestDocumentToolset: """Tests for create_document_toolset.""" @@ -72,6 +73,7 @@ class TestDocumentToolset: assert isinstance(state, DocumentState) +@pytest.mark.vcr() class TestDocumentToolExecution: """Tests for document tool execution.""" diff --git a/tests/tools/test_search.py b/tests/tools/test_search.py index d3d8a5a6..569f3736 100644 --- a/tests/tools/test_search.py +++ b/tests/tools/test_search.py @@ -47,6 +47,7 @@ class TestSearchState: assert restored.results[0].chunk_id == "c1" +@pytest.mark.vcr() class TestSearchToolset: """Tests for create_search_toolset.""" @@ -96,6 +97,7 @@ class TestSearchToolset: assert state.results[0].chunk_id == "pre1" +@pytest.mark.vcr() class TestSearchToolExecution: """Tests for search tool execution."""