mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-04-14 23:12:37 +00:00
2ed0c2c043
Some checks failed
* imp compaction * fix lint * cassette gen * cassette gen * improve assert * adding azure * fix global docstring
436 lines
20 KiB
YAML
436 lines
20 KiB
YAML
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<conversation>\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</conversation>\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 <summary> tags.\n\n<summary>\n[Your
|
|
structured summary here]\n</summary>"}],"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\": \"<summary>\\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</summary>\",\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<conversation>\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</conversation>\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 <summary> tags.\n\n<summary>\n[Your structured summary here]\n</summary>"}],"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\": \"<summary>\\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</summary>\",\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<conversation>\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</conversation>\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 <summary> tags.\n\n<summary>\n[Your structured summary here]\n</summary>"}],"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\": \"<summary>\\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</summary>\",\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"; ma=86400
|
|
cf-cache-status:
|
|
- DYNAMIC
|
|
openai-organization:
|
|
- OPENAI-ORG-XXX
|
|
openai-processing-ms:
|
|
- '6339'
|
|
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
|