From 2ee96ec8c71c9f0bfde5291e6235582832ebf988 Mon Sep 17 00:00:00 2001 From: lorenzejay Date: Mon, 9 Feb 2026 12:29:11 -0800 Subject: [PATCH] cassette gen --- ...ionVCR.test_parallel_summarize_openai.yaml | 435 ++++++++++++++++++ ...st_parallel_summarize_preserves_files.yaml | 435 ++++++++++++++++++ 2 files changed, 870 insertions(+) create mode 100644 lib/crewai/tests/cassettes/utilities/TestParallelSummarizationVCR.test_parallel_summarize_openai.yaml create mode 100644 lib/crewai/tests/cassettes/utilities/TestParallelSummarizationVCR.test_parallel_summarize_preserves_files.yaml diff --git a/lib/crewai/tests/cassettes/utilities/TestParallelSummarizationVCR.test_parallel_summarize_openai.yaml b/lib/crewai/tests/cassettes/utilities/TestParallelSummarizationVCR.test_parallel_summarize_openai.yaml new file mode 100644 index 000000000..58c59ce3f --- /dev/null +++ b/lib/crewai/tests/cassettes/utilities/TestParallelSummarizationVCR.test_parallel_summarize_openai.yaml @@ -0,0 +1,435 @@ +interactions: +- request: + body: '{"messages":[{"role":"system","content":"You are a precise assistant that + creates structured summaries of agent conversations. You preserve critical context + needed for seamless task continuation."},{"role":"user","content":"Analyze the + following conversation and create a structured summary that preserves all information + needed to continue the task seamlessly.\n\n\n[USER]: Explain the + Python package ecosystem. How does pip work, what is PyPI, and what are virtual + environments? Compare pip with conda and uv.\n\n[ASSISTANT]: PyPI (Python Package + Index) is the official repository hosting 400k+ packages. pip is the standard + package installer that downloads from PyPI. Virtual environments (venv) create + isolated Python installations to avoid dependency conflicts between projects. + conda is a cross-language package manager popular in data science that can manage + non-Python dependencies. uv is a new Rust-based tool that is 10-100x faster + than pip and aims to replace pip, pip-tools, and virtualenv with a single unified + tool.\n\n\nCreate a summary with these sections:\n1. **Task Overview**: + What is the agent trying to accomplish?\n2. **Current State**: What has been + completed so far? What step is the agent on?\n3. **Important Discoveries**: + Key facts, data, tool results, or findings that must not be lost.\n4. **Next + Steps**: What should the agent do next based on the conversation?\n5. **Context + to Preserve**: Any specific values, names, URLs, code snippets, or details referenced + in the conversation.\n\nWrap your entire summary in tags.\n\n\n[Your + structured summary here]\n"}],"model":"gpt-4o-mini","temperature":0}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1687' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - async:asyncio + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7S93xpUu9d5twM82uJOZpurQTD5u\",\n \"object\": + \"chat.completion\",\n \"created\": 1770668857,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"\\n1. **Task Overview**: The + user is seeking an explanation of the Python package ecosystem, specifically + focusing on how pip works, the role of PyPI, the concept of virtual environments, + and a comparison between pip, conda, and uv.\\n\\n2. **Current State**: The + assistant has provided a comprehensive overview of the Python package ecosystem, + including definitions and comparisons of pip, PyPI, virtual environments, + conda, and uv.\\n\\n3. **Important Discoveries**:\\n - PyPI (Python Package + Index) is the official repository with over 400,000 packages.\\n - pip is + the standard package installer that downloads packages from PyPI.\\n - Virtual + environments (venv) allow for isolated Python installations to prevent dependency + conflicts.\\n - conda is a cross-language package manager, particularly + popular in data science, that can manage non-Python dependencies.\\n - uv + is a new Rust-based tool that is significantly faster than pip (10-100x) and + aims to unify the functionalities of pip, pip-tools, and virtualenv.\\n\\n4. + **Next Steps**: The agent should consider providing further details on how + to use pip, conda, and uv, including installation commands, examples of creating + virtual environments, and any specific use cases for each tool.\\n\\n5. **Context + to Preserve**: \\n - PyPI: Python Package Index, hosting 400k+ packages.\\n + \ - pip: Standard package installer for Python.\\n - Virtual environments + (venv): Isolated Python installations.\\n - conda: Cross-language package + manager for data science.\\n - uv: Rust-based tool, 10-100x faster than + pip, aims to replace pip, pip-tools, and virtualenv.\\n\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 333,\n \"completion_tokens\": 354,\n \"total_tokens\": 687,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Mon, 09 Feb 2026 20:27:42 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '4879' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are a precise assistant that + creates structured summaries of agent conversations. You preserve critical context + needed for seamless task continuation."},{"role":"user","content":"Analyze the + following conversation and create a structured summary that preserves all information + needed to continue the task seamlessly.\n\n\n[USER]: Tell me about + the history of the Python programming language. Who created it, when was it + first released, and what were the main design goals? Please provide a detailed + overview covering the major milestones from its inception through Python 3.\n\n[ASSISTANT]: + Python was created by Guido van Rossum and first released in 1991. The main + design goals were code readability and simplicity. Key milestones: Python 1.0 + (1994) introduced functional programming tools like lambda and map. Python 2.0 + (2000) added list comprehensions and garbage collection. Python 3.0 (2008) was + a major backward-incompatible release that fixed fundamental design flaws. Python + 2 reached end-of-life in January 2020.\n\n\nCreate a summary + with these sections:\n1. **Task Overview**: What is the agent trying to accomplish?\n2. + **Current State**: What has been completed so far? What step is the agent on?\n3. + **Important Discoveries**: Key facts, data, tool results, or findings that must + not be lost.\n4. **Next Steps**: What should the agent do next based on the + conversation?\n5. **Context to Preserve**: Any specific values, names, URLs, + code snippets, or details referenced in the conversation.\n\nWrap your entire + summary in tags.\n\n\n[Your structured summary here]\n"}],"model":"gpt-4o-mini","temperature":0}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1726' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - async:asyncio + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7S93rBUMAtEdwdI6Y2ga0s50IFtv\",\n \"object\": + \"chat.completion\",\n \"created\": 1770668857,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"\\n1. **Task Overview**: The + user is seeking a detailed overview of the history of the Python programming + language, including its creator, initial release date, main design goals, + and major milestones up to Python 3.\\n\\n2. **Current State**: The assistant + has provided a comprehensive response detailing the history of Python, including + its creator (Guido van Rossum), first release (1991), main design goals (code + readability and simplicity), and key milestones (Python 1.0 in 1994, Python + 2.0 in 2000, and Python 3.0 in 2008).\\n\\n3. **Important Discoveries**: \\n + \ - Python was created by Guido van Rossum.\\n - First released in 1991.\\n + \ - Main design goals: code readability and simplicity.\\n - Key milestones:\\n + \ - Python 1.0 (1994): Introduced functional programming tools like lambda + and map.\\n - Python 2.0 (2000): Added list comprehensions and garbage + collection.\\n - Python 3.0 (2008): Major backward-incompatible release + that fixed fundamental design flaws.\\n - Python 2 reached end-of-life in + January 2020.\\n\\n4. **Next Steps**: The agent should be prepared to provide + additional details or answer follow-up questions regarding Python's features, + community, or specific use cases if the user requests more information.\\n\\n5. + **Context to Preserve**: \\n - Creator: Guido van Rossum\\n - Initial + release: 1991\\n - Milestones: \\n - Python 1.0 (1994)\\n - Python + 2.0 (2000)\\n - Python 3.0 (2008)\\n - End-of-life for Python 2: January + 2020\\n\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 346,\n \"completion_tokens\": + 372,\n \"total_tokens\": 718,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_7e4bf6ad56\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Mon, 09 Feb 2026 20:27:42 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '5097' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are a precise assistant that + creates structured summaries of agent conversations. You preserve critical context + needed for seamless task continuation."},{"role":"user","content":"Analyze the + following conversation and create a structured summary that preserves all information + needed to continue the task seamlessly.\n\n\n[USER]: What about + the async/await features? When were they introduced and how do they compare + to similar features in JavaScript and C#? Also explain the Global Interpreter + Lock and its implications.\n\n[ASSISTANT]: Async/await was introduced in Python + 3.5 (PEP 492, 2015). Unlike JavaScript which is single-threaded by design, Python''s + asyncio is an opt-in framework. C# introduced async/await in 2012 (C# 5.0) and + was a major inspiration for Python''s implementation. The GIL (Global Interpreter + Lock) is a mutex that protects access to Python objects, preventing multiple + threads from executing Python bytecodes simultaneously. This means CPU-bound + multithreaded programs don''t benefit from multiple cores. PEP 703 proposes + making the GIL optional in CPython.\n\n\nCreate a summary with + these sections:\n1. **Task Overview**: What is the agent trying to accomplish?\n2. + **Current State**: What has been completed so far? What step is the agent on?\n3. + **Important Discoveries**: Key facts, data, tool results, or findings that must + not be lost.\n4. **Next Steps**: What should the agent do next based on the + conversation?\n5. **Context to Preserve**: Any specific values, names, URLs, + code snippets, or details referenced in the conversation.\n\nWrap your entire + summary in tags.\n\n\n[Your structured summary here]\n"}],"model":"gpt-4o-mini","temperature":0}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1786' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - async:asyncio + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7S94auQYOLDTKfRzdluGiWAomSqd\",\n \"object\": + \"chat.completion\",\n \"created\": 1770668858,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"\\n1. **Task Overview**: The + user is seeking information about the async/await features in Python, their + introduction timeline, comparisons with similar features in JavaScript and + C#, and an explanation of the Global Interpreter Lock (GIL) and its implications.\\n\\n2. + **Current State**: The assistant has provided information regarding the introduction + of async/await in Python (version 3.5, PEP 492 in 2015), comparisons with + JavaScript and C# (C# introduced async/await in 2012), and an explanation + of the GIL.\\n\\n3. **Important Discoveries**: \\n - Async/await was introduced + in Python 3.5 (PEP 492, 2015).\\n - JavaScript is single-threaded, while + Python's asyncio is an opt-in framework.\\n - C# introduced async/await + in 2012 (C# 5.0) and influenced Python's implementation.\\n - The GIL (Global + Interpreter Lock) is a mutex that prevents multiple threads from executing + Python bytecodes simultaneously, affecting CPU-bound multithreaded programs.\\n + \ - PEP 703 proposes making the GIL optional in CPython.\\n\\n4. **Next Steps**: + The agent should consider providing more detailed comparisons of async/await + features between Python, JavaScript, and C#, as well as further implications + of the GIL and PEP 703.\\n\\n5. **Context to Preserve**: \\n - Python async/await + introduction: 3.5 (PEP 492, 2015)\\n - C# async/await introduction: 2012 + (C# 5.0)\\n - GIL (Global Interpreter Lock) explanation and implications.\\n + \ - Reference to PEP 703 regarding the GIL.\\n\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 364,\n \"completion_tokens\": 368,\n \"total_tokens\": 732,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Mon, 09 Feb 2026 20:27:44 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; 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You preserve critical context + needed for seamless task continuation."},{"role":"user","content":"Analyze the + following conversation and create a structured summary that preserves all information + needed to continue the task seamlessly.\n\n\n[USER]: Explain the + Python package ecosystem. How does pip work, what is PyPI, and what are virtual + environments? Compare pip with conda and uv.\n\n[ASSISTANT]: PyPI (Python Package + Index) is the official repository hosting 400k+ packages. pip is the standard + package installer that downloads from PyPI. Virtual environments (venv) create + isolated Python installations to avoid dependency conflicts between projects. + conda is a cross-language package manager popular in data science that can manage + non-Python dependencies. uv is a new Rust-based tool that is 10-100x faster + than pip and aims to replace pip, pip-tools, and virtualenv with a single unified + tool.\n\n\nCreate a summary with these sections:\n1. **Task Overview**: + What is the agent trying to accomplish?\n2. **Current State**: What has been + completed so far? What step is the agent on?\n3. **Important Discoveries**: + Key facts, data, tool results, or findings that must not be lost.\n4. **Next + Steps**: What should the agent do next based on the conversation?\n5. **Context + to Preserve**: Any specific values, names, URLs, code snippets, or details referenced + in the conversation.\n\nWrap your entire summary in tags.\n\n\n[Your + structured summary here]\n"}],"model":"gpt-4o-mini","temperature":0}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1687' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - async:asyncio + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7S9PnjkuCMHqU912kcH8G5zIIxQU\",\n \"object\": + \"chat.completion\",\n \"created\": 1770668879,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"\\n1. **Task Overview**: The + user is seeking an explanation of the Python package ecosystem, specifically + focusing on how pip works, the role of PyPI, the concept of virtual environments, + and a comparison between pip, conda, and uv.\\n\\n2. **Current State**: The + assistant has provided a comprehensive overview of the Python package ecosystem, + including definitions and comparisons of pip, PyPI, virtual environments, + conda, and uv.\\n\\n3. **Important Discoveries**:\\n - PyPI (Python Package + Index) is the official repository with over 400,000 packages.\\n - pip is + the standard package installer that downloads packages from PyPI.\\n - Virtual + environments (venv) allow for isolated Python installations to prevent dependency + conflicts.\\n - conda is a cross-language package manager, particularly + popular in data science, that can manage non-Python dependencies.\\n - uv + is a new Rust-based tool that is significantly faster than pip (10-100x) and + aims to unify the functionalities of pip, pip-tools, and virtualenv.\\n\\n4. + **Next Steps**: The agent should consider providing further details or examples + on how to use pip, conda, and uv, as well as practical applications of virtual + environments in Python projects.\\n\\n5. **Context to Preserve**: \\n - + PyPI: Python Package Index, hosting 400k+ packages.\\n - pip: Standard package + installer for Python.\\n - Virtual environments (venv): Isolated Python + installations.\\n - conda: Cross-language package manager for data science.\\n + \ - uv: Rust-based tool, 10-100x faster than pip, aims to replace pip, pip-tools, + and virtualenv.\\n\",\n \"refusal\": null,\n \"annotations\": + []\n },\n \"logprobs\": null,\n \"finish_reason\": \"stop\"\n + \ }\n ],\n \"usage\": {\n \"prompt_tokens\": 333,\n \"completion_tokens\": + 349,\n \"total_tokens\": 682,\n \"prompt_tokens_details\": {\n \"cached_tokens\": + 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Mon, 09 Feb 2026 20:28:04 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '4979' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are a precise assistant that + creates structured summaries of agent conversations. You preserve critical context + needed for seamless task continuation."},{"role":"user","content":"Analyze the + following conversation and create a structured summary that preserves all information + needed to continue the task seamlessly.\n\n\n[USER]: Tell me about + the history of the Python programming language. Who created it, when was it + first released, and what were the main design goals? Please provide a detailed + overview covering the major milestones from its inception through Python 3.\n\n[ASSISTANT]: + Python was created by Guido van Rossum and first released in 1991. The main + design goals were code readability and simplicity. Key milestones: Python 1.0 + (1994) introduced functional programming tools like lambda and map. Python 2.0 + (2000) added list comprehensions and garbage collection. Python 3.0 (2008) was + a major backward-incompatible release that fixed fundamental design flaws. Python + 2 reached end-of-life in January 2020.\n\n\nCreate a summary + with these sections:\n1. **Task Overview**: What is the agent trying to accomplish?\n2. + **Current State**: What has been completed so far? What step is the agent on?\n3. + **Important Discoveries**: Key facts, data, tool results, or findings that must + not be lost.\n4. **Next Steps**: What should the agent do next based on the + conversation?\n5. **Context to Preserve**: Any specific values, names, URLs, + code snippets, or details referenced in the conversation.\n\nWrap your entire + summary in tags.\n\n\n[Your structured summary here]\n"}],"model":"gpt-4o-mini","temperature":0}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1726' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - async:asyncio + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7S9PqglWRu0PEoMRHyOiRnpn3yqU\",\n \"object\": + \"chat.completion\",\n \"created\": 1770668879,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"\\n1. **Task Overview**: The + user is seeking a detailed overview of the history of the Python programming + language, including its creator, initial release date, main design goals, + and major milestones up to Python 3.\\n\\n2. **Current State**: The assistant + has provided a comprehensive response detailing the history of Python, including + its creator (Guido van Rossum), first release (1991), main design goals (code + readability and simplicity), and key milestones (Python 1.0 in 1994, Python + 2.0 in 2000, and Python 3.0 in 2008).\\n\\n3. **Important Discoveries**: \\n + \ - Python was created by Guido van Rossum.\\n - First released in 1991.\\n + \ - Main design goals: code readability and simplicity.\\n - Key milestones:\\n + \ - Python 1.0 (1994): Introduced functional programming tools like lambda + and map.\\n - Python 2.0 (2000): Added list comprehensions and garbage + collection.\\n - Python 3.0 (2008): Major backward-incompatible release + that fixed fundamental design flaws.\\n - Python 2 reached end-of-life in + January 2020.\\n\\n4. **Next Steps**: The agent should be prepared to provide + further details or answer any follow-up questions the user may have regarding + Python's history or its features.\\n\\n5. **Context to Preserve**: \\n - + Creator: Guido van Rossum\\n - First release: 1991\\n - Milestones: \\n + \ - Python 1.0 (1994)\\n - Python 2.0 (2000)\\n - Python 3.0 (2008)\\n + \ - End-of-life for Python 2: January 2020\\n\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 346,\n \"completion_tokens\": 367,\n \"total_tokens\": 713,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_7e4bf6ad56\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Mon, 09 Feb 2026 20:28:04 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '5368' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +- request: + body: '{"messages":[{"role":"system","content":"You are a precise assistant that + creates structured summaries of agent conversations. You preserve critical context + needed for seamless task continuation."},{"role":"user","content":"Analyze the + following conversation and create a structured summary that preserves all information + needed to continue the task seamlessly.\n\n\n[USER]: What about + the async/await features? When were they introduced and how do they compare + to similar features in JavaScript and C#? Also explain the Global Interpreter + Lock and its implications.\n\n[ASSISTANT]: Async/await was introduced in Python + 3.5 (PEP 492, 2015). Unlike JavaScript which is single-threaded by design, Python''s + asyncio is an opt-in framework. C# introduced async/await in 2012 (C# 5.0) and + was a major inspiration for Python''s implementation. The GIL (Global Interpreter + Lock) is a mutex that protects access to Python objects, preventing multiple + threads from executing Python bytecodes simultaneously. This means CPU-bound + multithreaded programs don''t benefit from multiple cores. PEP 703 proposes + making the GIL optional in CPython.\n\n\nCreate a summary with + these sections:\n1. **Task Overview**: What is the agent trying to accomplish?\n2. + **Current State**: What has been completed so far? What step is the agent on?\n3. + **Important Discoveries**: Key facts, data, tool results, or findings that must + not be lost.\n4. **Next Steps**: What should the agent do next based on the + conversation?\n5. **Context to Preserve**: Any specific values, names, URLs, + code snippets, or details referenced in the conversation.\n\nWrap your entire + summary in tags.\n\n\n[Your structured summary here]\n"}],"model":"gpt-4o-mini","temperature":0}' + headers: + User-Agent: + - X-USER-AGENT-XXX + accept: + - application/json + accept-encoding: + - ACCEPT-ENCODING-XXX + authorization: + - AUTHORIZATION-XXX + connection: + - keep-alive + content-length: + - '1786' + content-type: + - application/json + host: + - api.openai.com + x-stainless-arch: + - X-STAINLESS-ARCH-XXX + x-stainless-async: + - async:asyncio + x-stainless-lang: + - python + x-stainless-os: + - X-STAINLESS-OS-XXX + x-stainless-package-version: + - 1.83.0 + x-stainless-read-timeout: + - X-STAINLESS-READ-TIMEOUT-XXX + x-stainless-retry-count: + - '0' + x-stainless-runtime: + - CPython + x-stainless-runtime-version: + - 3.13.3 + method: POST + uri: https://api.openai.com/v1/chat/completions + response: + body: + string: "{\n \"id\": \"chatcmpl-D7S9Pcl5ybKLH8cSEZ6hgPuvj5iCv\",\n \"object\": + \"chat.completion\",\n \"created\": 1770668879,\n \"model\": \"gpt-4o-mini-2024-07-18\",\n + \ \"choices\": [\n {\n \"index\": 0,\n \"message\": {\n \"role\": + \"assistant\",\n \"content\": \"\\n1. **Task Overview**: The + user is seeking information about the async/await features in Python, their + introduction timeline, comparisons with similar features in JavaScript and + C#, and an explanation of the Global Interpreter Lock (GIL) and its implications.\\n\\n2. + **Current State**: The assistant has provided information regarding the introduction + of async/await in Python (version 3.5, PEP 492 in 2015), comparisons with + JavaScript and C# (C# introduced async/await in 2012), and an explanation + of the GIL.\\n\\n3. **Important Discoveries**: \\n - Async/await was introduced + in Python 3.5 (PEP 492, 2015).\\n - JavaScript is single-threaded, while + Python's asyncio is an opt-in framework.\\n - C# introduced async/await + in 2012 (C# 5.0) and influenced Python's implementation.\\n - The GIL (Global + Interpreter Lock) is a mutex that prevents multiple threads from executing + Python bytecodes simultaneously, affecting CPU-bound multithreaded programs.\\n + \ - PEP 703 proposes making the GIL optional in CPython.\\n\\n4. **Next Steps**: + The agent should consider providing further details on how async/await is + implemented in Python, JavaScript, and C#, and explore the implications of + the GIL in more depth, including potential alternatives or workarounds.\\n\\n5. + **Context to Preserve**: \\n - Python async/await introduction: version + 3.5, PEP 492, 2015.\\n - C# async/await introduction: 2012, C# 5.0.\\n - + GIL (Global Interpreter Lock) and its implications on multithreading in Python.\\n + \ - Reference to PEP 703 regarding the GIL.\\n\",\n \"refusal\": + null,\n \"annotations\": []\n },\n \"logprobs\": null,\n + \ \"finish_reason\": \"stop\"\n }\n ],\n \"usage\": {\n \"prompt_tokens\": + 364,\n \"completion_tokens\": 381,\n \"total_tokens\": 745,\n \"prompt_tokens_details\": + {\n \"cached_tokens\": 0,\n \"audio_tokens\": 0\n },\n \"completion_tokens_details\": + {\n \"reasoning_tokens\": 0,\n \"audio_tokens\": 0,\n \"accepted_prediction_tokens\": + 0,\n \"rejected_prediction_tokens\": 0\n }\n },\n \"service_tier\": + \"default\",\n \"system_fingerprint\": \"fp_f4ae844694\"\n}\n" + headers: + CF-RAY: + - CF-RAY-XXX + Connection: + - keep-alive + Content-Type: + - application/json + Date: + - Mon, 09 Feb 2026 20:28:04 GMT + Server: + - cloudflare + Strict-Transport-Security: + - STS-XXX + Transfer-Encoding: + - chunked + X-Content-Type-Options: + - X-CONTENT-TYPE-XXX + access-control-expose-headers: + - ACCESS-CONTROL-XXX + alt-svc: + - h3=":443"; ma=86400 + cf-cache-status: + - DYNAMIC + openai-organization: + - OPENAI-ORG-XXX + openai-processing-ms: + - '5489' + openai-project: + - OPENAI-PROJECT-XXX + openai-version: + - '2020-10-01' + set-cookie: + - SET-COOKIE-XXX + x-openai-proxy-wasm: + - v0.1 + x-ratelimit-limit-requests: + - X-RATELIMIT-LIMIT-REQUESTS-XXX + x-ratelimit-limit-tokens: + - X-RATELIMIT-LIMIT-TOKENS-XXX + x-ratelimit-remaining-requests: + - X-RATELIMIT-REMAINING-REQUESTS-XXX + x-ratelimit-remaining-tokens: + - X-RATELIMIT-REMAINING-TOKENS-XXX + x-ratelimit-reset-requests: + - X-RATELIMIT-RESET-REQUESTS-XXX + x-ratelimit-reset-tokens: + - X-RATELIMIT-RESET-TOKENS-XXX + x-request-id: + - X-REQUEST-ID-XXX + status: + code: 200 + message: OK +version: 1