mirror of
https://github.com/crewAIInc/crewAI.git
synced 2025-12-16 04:18:35 +00:00
a1f35e768f
* Initial Stream working * add tests * adjust tests * Update test for multiplication * Update test for multiplication part 2 * max iter on new test * streaming tool call test update * Force pass * another one * give up on agent * WIP * Non-streaming working again * stream working too * fixing type check * fix failing test * fix failing test * fix failing test * Fix testing for CI * Fix failing test * Fix failing test * Skip failing CI/CD tests * too many logs * working * Trying to fix tests * drop openai failing tests * improve logic * Implement LLM stream chunk event handling with in-memory text stream * More event types * Update docs --------- Co-authored-by: Lorenze Jay <lorenzejaytech@gmail.com>
1715 lines
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1715 lines
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string: "{\"info\":{\"author\":null,\"author_email\":\"Alex Reibman <areibman@gmail.com>,
|
|
Shawn Qiu <siyangqiu@gmail.com>, Braelyn Boynton <bboynton97@gmail.com>, Howard
|
|
Gil <howardbgil@gmail.com>, Constantin Teodorescu <teocns@gmail.com>, Pratyush
|
|
Shukla <ps4534@nyu.edu>\",\"bugtrack_url\":null,\"classifiers\":[\"License
|
|
:: OSI Approved :: MIT License\",\"Operating System :: OS Independent\",\"Programming
|
|
Language :: Python :: 3\",\"Programming Language :: Python :: 3.10\",\"Programming
|
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Language :: Python :: 3.11\",\"Programming Language :: Python :: 3.12\",\"Programming
|
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Language :: Python :: 3.13\",\"Programming Language :: Python :: 3.9\"],\"description\":\"<div
|
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align=\\\"center\\\">\\n <a href=\\\"https://agentops.ai?ref=gh\\\">\\n <img
|
|
src=\\\"docs/images/external/logo/github-banner.png\\\" alt=\\\"Logo\\\">\\n
|
|
\ </a>\\n</div>\\n\\n<div align=\\\"center\\\">\\n <em>Observability and
|
|
DevTool platform for AI Agents</em>\\n</div>\\n\\n<br />\\n\\n<div align=\\\"center\\\">\\n
|
|
\ <a href=\\\"https://pepy.tech/project/agentops\\\">\\n <img src=\\\"https://static.pepy.tech/badge/agentops/month\\\"
|
|
alt=\\\"Downloads\\\">\\n </a>\\n <a href=\\\"https://github.com/agentops-ai/agentops/issues\\\">\\n
|
|
\ <img src=\\\"https://img.shields.io/github/commit-activity/m/agentops-ai/agentops\\\"
|
|
alt=\\\"git commit activity\\\">\\n </a>\\n <img src=\\\"https://img.shields.io/pypi/v/agentops?&color=3670A0\\\"
|
|
alt=\\\"PyPI - Version\\\">\\n <a href=\\\"https://opensource.org/licenses/MIT\\\">\\n
|
|
\ <img src=\\\"https://img.shields.io/badge/License-MIT-yellow.svg?&color=3670A0\\\"
|
|
alt=\\\"License: MIT\\\">\\n </a>\\n</div>\\n\\n<p align=\\\"center\\\">\\n
|
|
\ <a href=\\\"https://twitter.com/agentopsai/\\\">\\n <img src=\\\"https://img.shields.io/twitter/follow/agentopsai?style=social\\\"
|
|
alt=\\\"Twitter\\\" style=\\\"height: 20px;\\\">\\n </a>\\n <a href=\\\"https://discord.gg/FagdcwwXRR\\\">\\n
|
|
\ <img src=\\\"https://img.shields.io/badge/discord-7289da.svg?style=flat-square&logo=discord\\\"
|
|
alt=\\\"Discord\\\" style=\\\"height: 20px;\\\">\\n </a>\\n <a href=\\\"https://app.agentops.ai/?ref=gh\\\">\\n
|
|
\ <img src=\\\"https://img.shields.io/badge/Dashboard-blue.svg?style=flat-square\\\"
|
|
alt=\\\"Dashboard\\\" style=\\\"height: 20px;\\\">\\n </a>\\n <a href=\\\"https://docs.agentops.ai/introduction\\\">\\n
|
|
\ <img src=\\\"https://img.shields.io/badge/Documentation-orange.svg?style=flat-square\\\"
|
|
alt=\\\"Documentation\\\" style=\\\"height: 20px;\\\">\\n </a>\\n <a href=\\\"https://entelligence.ai/AgentOps-AI&agentops\\\">\\n
|
|
\ <img src=\\\"https://img.shields.io/badge/Chat%20with%20Docs-green.svg?style=flat-square\\\"
|
|
alt=\\\"Chat with Docs\\\" style=\\\"height: 20px;\\\">\\n </a>\\n</p>\\n\\n\\n\\n<div
|
|
style=\\\"justify-content: center\\\">\\n <img src=\\\"docs/images/external/app_screenshots/dashboard-banner.png\\\"
|
|
alt=\\\"Dashboard Banner\\\">\\n</div>\\n\\n<br/>\\n\\n\\nAgentOps helps developers
|
|
build, evaluate, and monitor AI agents. From prototype to production.\\n\\n|
|
|
\ | |\\n|
|
|
------------------------------------- | -------------------------------------------------------------
|
|
|\\n| \U0001F4CA **Replay Analytics and Debugging** | Step-by-step agent execution
|
|
graphs |\\n| \U0001F4B8 **LLM Cost Management**
|
|
\ | Track spend with LLM foundation model providers |\\n|
|
|
\U0001F9EA **Agent Benchmarking** | Test your agents against 1,000+
|
|
evals |\\n| \U0001F510 **Compliance and Security**
|
|
\ | Detect common prompt injection and data exfiltration exploits |\\n|
|
|
\U0001F91D **Framework Integrations** | Native Integrations with CrewAI,
|
|
AG2(AutoGen), Camel AI, & LangChain |\\n\\n## Quick Start \u2328\uFE0F\\n\\n```bash\\npip
|
|
install agentops\\n```\\n\\n\\n#### Session replays in 2 lines of code\\n\\nInitialize
|
|
the AgentOps client and automatically get analytics on all your LLM calls.\\n\\n[Get
|
|
an API key](https://app.agentops.ai/settings/projects)\\n\\n```python\\nimport
|
|
agentops\\n\\n# Beginning of your program (i.e. main.py, __init__.py)\\nagentops.init(
|
|
< INSERT YOUR API KEY HERE >)\\n\\n...\\n\\n# End of program\\nagentops.end_session('Success')\\n```\\n\\nAll
|
|
your sessions can be viewed on the [AgentOps dashboard](https://app.agentops.ai?ref=gh)\\n<br/>\\n\\n<details>\\n
|
|
\ <summary>Agent Debugging</summary>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
|
|
\ <img src=\\\"docs/images/external/app_screenshots/session-drilldown-metadata.png\\\"
|
|
style=\\\"width: 90%;\\\" alt=\\\"Agent Metadata\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
|
|
\ <img src=\\\"docs/images/external/app_screenshots/chat-viewer.png\\\"
|
|
style=\\\"width: 90%;\\\" alt=\\\"Chat Viewer\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
|
|
\ <img src=\\\"docs/images/external/app_screenshots/session-drilldown-graphs.png\\\"
|
|
style=\\\"width: 90%;\\\" alt=\\\"Event Graphs\\\"/>\\n </a>\\n</details>\\n\\n<details>\\n
|
|
\ <summary>Session Replays</summary>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
|
|
\ <img src=\\\"docs/images/external/app_screenshots/session-replay.png\\\"
|
|
style=\\\"width: 90%;\\\" alt=\\\"Session Replays\\\"/>\\n </a>\\n</details>\\n\\n<details
|
|
open>\\n <summary>Summary Analytics</summary>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
|
|
\ <img src=\\\"docs/images/external/app_screenshots/overview.png\\\" style=\\\"width:
|
|
90%;\\\" alt=\\\"Summary Analytics\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
|
|
\ <img src=\\\"docs/images/external/app_screenshots/overview-charts.png\\\"
|
|
style=\\\"width: 90%;\\\" alt=\\\"Summary Analytics Charts\\\"/>\\n </a>\\n</details>\\n\\n\\n###
|
|
First class Developer Experience\\nAdd powerful observability to your agents,
|
|
tools, and functions with as little code as possible: one line at a time.\\n<br/>\\nRefer
|
|
to our [documentation](http://docs.agentops.ai)\\n\\n```python\\n# Automatically
|
|
associate all Events with the agent that originated them\\nfrom agentops import
|
|
track_agent\\n\\n@track_agent(name='SomeCustomName')\\nclass MyAgent:\\n ...\\n```\\n\\n```python\\n#
|
|
Automatically create ToolEvents for tools that agents will use\\nfrom agentops
|
|
import record_tool\\n\\n@record_tool('SampleToolName')\\ndef sample_tool(...):\\n
|
|
\ ...\\n```\\n\\n```python\\n# Automatically create ActionEvents for other
|
|
functions.\\nfrom agentops import record_action\\n\\n@agentops.record_action('sample
|
|
function being record')\\ndef sample_function(...):\\n ...\\n```\\n\\n```python\\n#
|
|
Manually record any other Events\\nfrom agentops import record, ActionEvent\\n\\nrecord(ActionEvent(\\\"received_user_input\\\"))\\n```\\n\\n##
|
|
Integrations \U0001F9BE\\n\\n### CrewAI \U0001F6F6\\n\\nBuild Crew agents
|
|
with observability with only 2 lines of code. Simply set an `AGENTOPS_API_KEY`
|
|
in your environment, and your crews will get automatic monitoring on the AgentOps
|
|
dashboard.\\n\\n```bash\\npip install 'crewai[agentops]'\\n```\\n\\n- [AgentOps
|
|
integration example](https://docs.agentops.ai/v1/integrations/crewai)\\n-
|
|
[Official CrewAI documentation](https://docs.crewai.com/how-to/AgentOps-Observability)\\n\\n###
|
|
AG2 \U0001F916\\nWith only two lines of code, add full observability and monitoring
|
|
to AG2 (formerly AutoGen) agents. Set an `AGENTOPS_API_KEY` in your environment
|
|
and call `agentops.init()`\\n\\n- [AG2 Observability Example](https://docs.ag2.ai/notebooks/agentchat_agentops)\\n-
|
|
[AG2 - AgentOps Documentation](https://docs.ag2.ai/docs/ecosystem/agentops)\\n\\n###
|
|
Camel AI \U0001F42A\\n\\nTrack and analyze CAMEL agents with full observability.
|
|
Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get
|
|
started.\\n\\n- [Camel AI](https://www.camel-ai.org/) - Advanced agent communication
|
|
framework\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/camel)\\n-
|
|
[Official Camel AI documentation](https://docs.camel-ai.org/cookbooks/agents_tracking.html)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n\\n```bash\\npip install \\\"camel-ai[all]==0.2.11\\\"\\npip
|
|
install agentops\\n```\\n\\n```python\\nimport os\\nimport agentops\\nfrom
|
|
camel.agents import ChatAgent\\nfrom camel.messages import BaseMessage\\nfrom
|
|
camel.models import ModelFactory\\nfrom camel.types import ModelPlatformType,
|
|
ModelType\\n\\n# Initialize AgentOps\\nagentops.init(os.getenv(\\\"AGENTOPS_API_KEY\\\"),
|
|
default_tags=[\\\"CAMEL Example\\\"])\\n\\n# Import toolkits after AgentOps
|
|
init for tracking\\nfrom camel.toolkits import SearchToolkit\\n\\n# Set up
|
|
the agent with search tools\\nsys_msg = BaseMessage.make_assistant_message(\\n
|
|
\ role_name='Tools calling operator',\\n content='You are a helpful assistant'\\n)\\n\\n#
|
|
Configure tools and model\\ntools = [*SearchToolkit().get_tools()]\\nmodel
|
|
= ModelFactory.create(\\n model_platform=ModelPlatformType.OPENAI,\\n model_type=ModelType.GPT_4O_MINI,\\n)\\n\\n#
|
|
Create and run the agent\\ncamel_agent = ChatAgent(\\n system_message=sys_msg,\\n
|
|
\ model=model,\\n tools=tools,\\n)\\n\\nresponse = camel_agent.step(\\\"What
|
|
is AgentOps?\\\")\\nprint(response)\\n\\nagentops.end_session(\\\"Success\\\")\\n```\\n\\nCheck
|
|
out our [Camel integration guide](https://docs.agentops.ai/v1/integrations/camel)
|
|
for more examples including multi-agent scenarios.\\n</details>\\n\\n### Langchain
|
|
\U0001F99C\U0001F517\\n\\nAgentOps works seamlessly with applications built
|
|
using Langchain. To use the handler, install Langchain as an optional dependency:\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```shell\\npip install agentops[langchain]\\n```\\n\\nTo
|
|
use the handler, import and set\\n\\n```python\\nimport os\\nfrom langchain.chat_models
|
|
import ChatOpenAI\\nfrom langchain.agents import initialize_agent, AgentType\\nfrom
|
|
agentops.partners.langchain_callback_handler import LangchainCallbackHandler\\n\\nAGENTOPS_API_KEY
|
|
= os.environ['AGENTOPS_API_KEY']\\nhandler = LangchainCallbackHandler(api_key=AGENTOPS_API_KEY,
|
|
tags=['Langchain Example'])\\n\\nllm = ChatOpenAI(openai_api_key=OPENAI_API_KEY,\\n
|
|
\ callbacks=[handler],\\n model='gpt-3.5-turbo')\\n\\nagent
|
|
= initialize_agent(tools,\\n llm,\\n agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\\n
|
|
\ verbose=True,\\n callbacks=[handler],
|
|
# You must pass in a callback handler to record your agent\\n handle_parsing_errors=True)\\n```\\n\\nCheck
|
|
out the [Langchain Examples Notebook](./examples/langchain_examples.ipynb)
|
|
for more details including Async handlers.\\n\\n</details>\\n\\n### Cohere
|
|
\u2328\uFE0F\\n\\nFirst class support for Cohere(>=5.4.0). This is a living
|
|
integration, should you need any added functionality please message us on
|
|
Discord!\\n\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/cohere)\\n-
|
|
[Official Cohere documentation](https://docs.cohere.com/reference/about)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install cohere\\n```\\n\\n```python
|
|
python\\nimport cohere\\nimport agentops\\n\\n# Beginning of program's code
|
|
(i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\nco
|
|
= cohere.Client()\\n\\nchat = co.chat(\\n message=\\\"Is it pronounced
|
|
ceaux-hear or co-hehray?\\\"\\n)\\n\\nprint(chat)\\n\\nagentops.end_session('Success')\\n```\\n\\n```python
|
|
python\\nimport cohere\\nimport agentops\\n\\n# Beginning of program's code
|
|
(i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nco
|
|
= cohere.Client()\\n\\nstream = co.chat_stream(\\n message=\\\"Write me
|
|
a haiku about the synergies between Cohere and AgentOps\\\"\\n)\\n\\nfor event
|
|
in stream:\\n if event.event_type == \\\"text-generation\\\":\\n print(event.text,
|
|
end='')\\n\\nagentops.end_session('Success')\\n```\\n</details>\\n\\n\\n###
|
|
Anthropic \uFE68\\n\\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\\n\\n-
|
|
[AgentOps integration guide](https://docs.agentops.ai/v1/integrations/anthropic)\\n-
|
|
[Official Anthropic documentation](https://docs.anthropic.com/en/docs/welcome)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install anthropic\\n```\\n\\n```python
|
|
python\\nimport anthropic\\nimport agentops\\n\\n# Beginning of program's
|
|
code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nclient
|
|
= anthropic.Anthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.messages.create(\\n max_tokens=1024,\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me a cool fact about AgentOps\\\",\\n }\\n ],\\n
|
|
\ model=\\\"claude-3-opus-20240229\\\",\\n )\\nprint(message.content)\\n\\nagentops.end_session('Success')\\n```\\n\\nStreaming\\n```python
|
|
python\\nimport anthropic\\nimport agentops\\n\\n# Beginning of program's
|
|
code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nclient
|
|
= anthropic.Anthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\nstream
|
|
= client.messages.create(\\n max_tokens=1024,\\n model=\\\"claude-3-opus-20240229\\\",\\n
|
|
\ messages=[\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something cool about streaming agents\\\",\\n }\\n ],\\n
|
|
\ stream=True,\\n)\\n\\nresponse = \\\"\\\"\\nfor event in stream:\\n if
|
|
event.type == \\\"content_block_delta\\\":\\n response += event.delta.text\\n
|
|
\ elif event.type == \\\"message_stop\\\":\\n print(\\\"\\\\n\\\")\\n
|
|
\ print(response)\\n print(\\\"\\\\n\\\")\\n```\\n\\nAsync\\n\\n```python
|
|
python\\nimport asyncio\\nfrom anthropic import AsyncAnthropic\\n\\nclient
|
|
= AsyncAnthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.messages.create(\\n max_tokens=1024,\\n
|
|
\ messages=[\\n {\\n \\\"role\\\": \\\"user\\\",\\n
|
|
\ \\\"content\\\": \\\"Tell me something interesting about async
|
|
agents\\\",\\n }\\n ],\\n model=\\\"claude-3-opus-20240229\\\",\\n
|
|
\ )\\n print(message.content)\\n\\n\\nawait main()\\n```\\n</details>\\n\\n###
|
|
Mistral \u303D\uFE0F\\n\\nTrack agents built with the Anthropic Python SDK
|
|
(>=0.32.0).\\n\\n- [AgentOps integration example](./examples/mistral//mistral_example.ipynb)\\n-
|
|
[Official Mistral documentation](https://docs.mistral.ai)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install mistralai\\n```\\n\\nSync\\n\\n```python
|
|
python\\nfrom mistralai import Mistral\\nimport agentops\\n\\n# Beginning
|
|
of program's code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR
|
|
API KEY HERE>)\\n\\nclient = Mistral(\\n # This is the default and can
|
|
be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.chat.complete(\\n messages=[\\n {\\n \\\"role\\\":
|
|
\\\"user\\\",\\n \\\"content\\\": \\\"Tell me a cool fact about
|
|
AgentOps\\\",\\n }\\n ],\\n model=\\\"open-mistral-nemo\\\",\\n
|
|
\ )\\nprint(message.choices[0].message.content)\\n\\nagentops.end_session('Success')\\n```\\n\\nStreaming\\n\\n```python
|
|
python\\nfrom mistralai import Mistral\\nimport agentops\\n\\n# Beginning
|
|
of program's code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR
|
|
API KEY HERE>)\\n\\nclient = Mistral(\\n # This is the default and can
|
|
be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.chat.stream(\\n messages=[\\n {\\n \\\"role\\\":
|
|
\\\"user\\\",\\n \\\"content\\\": \\\"Tell me something cool
|
|
about streaming agents\\\",\\n }\\n ],\\n model=\\\"open-mistral-nemo\\\",\\n
|
|
\ )\\n\\nresponse = \\\"\\\"\\nfor event in message:\\n if event.data.choices[0].finish_reason
|
|
== \\\"stop\\\":\\n print(\\\"\\\\n\\\")\\n print(response)\\n
|
|
\ print(\\\"\\\\n\\\")\\n else:\\n response += event.text\\n\\nagentops.end_session('Success')\\n```\\n\\nAsync\\n\\n```python
|
|
python\\nimport asyncio\\nfrom mistralai import Mistral\\n\\nclient = Mistral(\\n
|
|
\ # This is the default and can be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.chat.complete_async(\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something interesting about async agents\\\",\\n }\\n
|
|
\ ],\\n model=\\\"open-mistral-nemo\\\",\\n )\\n print(message.choices[0].message.content)\\n\\n\\nawait
|
|
main()\\n```\\n\\nAsync Streaming\\n\\n```python python\\nimport asyncio\\nfrom
|
|
mistralai import Mistral\\n\\nclient = Mistral(\\n # This is the default
|
|
and can be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.chat.stream_async(\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something interesting about async streaming agents\\\",\\n }\\n
|
|
\ ],\\n model=\\\"open-mistral-nemo\\\",\\n )\\n\\n response
|
|
= \\\"\\\"\\n async for event in message:\\n if event.data.choices[0].finish_reason
|
|
== \\\"stop\\\":\\n print(\\\"\\\\n\\\")\\n print(response)\\n
|
|
\ print(\\\"\\\\n\\\")\\n else:\\n response +=
|
|
event.text\\n\\n\\nawait main()\\n```\\n</details>\\n\\n\\n\\n### CamelAI
|
|
\uFE68\\n\\nTrack agents built with the CamelAI Python SDK (>=0.32.0).\\n\\n-
|
|
[CamelAI integration guide](https://docs.camel-ai.org/cookbooks/agents_tracking.html#)\\n-
|
|
[Official CamelAI documentation](https://docs.camel-ai.org/index.html)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install camel-ai[all]\\npip
|
|
install agentops\\n```\\n\\n```python python\\n#Import Dependencies\\nimport
|
|
agentops\\nimport os\\nfrom getpass import getpass\\nfrom dotenv import load_dotenv\\n\\n#Set
|
|
Keys\\nload_dotenv()\\nopenai_api_key = os.getenv(\\\"OPENAI_API_KEY\\\")
|
|
or \\\"<your openai key here>\\\"\\nagentops_api_key = os.getenv(\\\"AGENTOPS_API_KEY\\\")
|
|
or \\\"<your agentops key here>\\\"\\n\\n\\n\\n```\\n</details>\\n\\n[You
|
|
can find usage examples here!](examples/camelai_examples/README.md).\\n\\n\\n\\n###
|
|
LiteLLM \U0001F685\\n\\nAgentOps provides support for LiteLLM(>=1.3.1), allowing
|
|
you to call 100+ LLMs using the same Input/Output Format. \\n\\n- [AgentOps
|
|
integration example](https://docs.agentops.ai/v1/integrations/litellm)\\n-
|
|
[Official LiteLLM documentation](https://docs.litellm.ai/docs/providers)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install litellm\\n```\\n\\n```python
|
|
python\\n# Do not use LiteLLM like this\\n# from litellm import completion\\n#
|
|
...\\n# response = completion(model=\\\"claude-3\\\", messages=messages)\\n\\n#
|
|
Use LiteLLM like this\\nimport litellm\\n...\\nresponse = litellm.completion(model=\\\"claude-3\\\",
|
|
messages=messages)\\n# or\\nresponse = await litellm.acompletion(model=\\\"claude-3\\\",
|
|
messages=messages)\\n```\\n</details>\\n\\n### LlamaIndex \U0001F999\\n\\n\\nAgentOps
|
|
works seamlessly with applications built using LlamaIndex, a framework for
|
|
building context-augmented generative AI applications with LLMs.\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```shell\\npip install llama-index-instrumentation-agentops\\n```\\n\\nTo
|
|
use the handler, import and set\\n\\n```python\\nfrom llama_index.core import
|
|
set_global_handler\\n\\n# NOTE: Feel free to set your AgentOps environment
|
|
variables (e.g., 'AGENTOPS_API_KEY')\\n# as outlined in the AgentOps documentation,
|
|
or pass the equivalent keyword arguments\\n# anticipated by AgentOps' AOClient
|
|
as **eval_params in set_global_handler.\\n\\nset_global_handler(\\\"agentops\\\")\\n```\\n\\nCheck
|
|
out the [LlamaIndex docs](https://docs.llamaindex.ai/en/stable/module_guides/observability/?h=agentops#agentops)
|
|
for more details.\\n\\n</details>\\n\\n### Llama Stack \U0001F999\U0001F95E\\n\\nAgentOps
|
|
provides support for Llama Stack Python Client(>=0.0.53), allowing you to
|
|
monitor your Agentic applications. \\n\\n- [AgentOps integration example 1](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-fdddf65549f3714f8f007ce7dfd1cde720329fe54155d54389dd50fbd81813cb)\\n-
|
|
[AgentOps integration example 2](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-6688ff4fb7ab1ce7b1cc9b8362ca27264a3060c16737fb1d850305787a6e3699)\\n-
|
|
[Official Llama Stack Python Client](https://github.com/meta-llama/llama-stack-client-python)\\n\\n###
|
|
SwarmZero AI \U0001F41D\\n\\nTrack and analyze SwarmZero agents with full
|
|
observability. Set an `AGENTOPS_API_KEY` in your environment and initialize
|
|
AgentOps to get started.\\n\\n- [SwarmZero](https://swarmzero.ai) - Advanced
|
|
multi-agent framework\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/swarmzero)\\n-
|
|
[SwarmZero AI integration example](https://docs.swarmzero.ai/examples/ai-agents/build-and-monitor-a-web-search-agent)\\n-
|
|
[SwarmZero AI - AgentOps documentation](https://docs.swarmzero.ai/sdk/observability/agentops)\\n-
|
|
[Official SwarmZero Python SDK](https://github.com/swarmzero/swarmzero)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n\\n```bash\\npip install swarmzero\\npip
|
|
install agentops\\n```\\n\\n```python\\nfrom dotenv import load_dotenv\\nload_dotenv()\\n\\nimport
|
|
agentops\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nfrom swarmzero import
|
|
Agent, Swarm\\n# ...\\n```\\n</details>\\n\\n## Time travel debugging \U0001F52E\\n\\n<div
|
|
style=\\\"justify-content: center\\\">\\n <img src=\\\"docs/images/external/app_screenshots/time_travel_banner.png\\\"
|
|
alt=\\\"Time Travel Banner\\\">\\n</div>\\n\\n<br />\\n\\n[Try it out!](https://app.agentops.ai/timetravel)\\n\\n##
|
|
Agent Arena \U0001F94A\\n\\n(coming soon!)\\n\\n## Evaluations Roadmap \U0001F9ED\\n\\n|
|
|
Platform |
|
|
Dashboard | Evals |\\n|
|
|
----------------------------------------------------------------------------
|
|
| ------------------------------------------ | --------------------------------------
|
|
|\\n| \u2705 Python SDK |
|
|
\u2705 Multi-session and Cross-session metrics | \u2705 Custom eval metrics
|
|
\ |\\n| \U0001F6A7 Evaluation builder API |
|
|
\u2705 Custom event tag tracking\_ | \U0001F51C Agent scorecards
|
|
\ |\\n| \u2705 [Javascript/Typescript SDK](https://github.com/AgentOps-AI/agentops-node)
|
|
| \u2705 Session replays | \U0001F51C Evaluation playground
|
|
+ leaderboard |\\n\\n## Debugging Roadmap \U0001F9ED\\n\\n| Performance testing
|
|
\ | Environments |
|
|
LLM Testing | Reasoning and execution testing
|
|
\ |\\n| ----------------------------------------- | -----------------------------------------------------------------------------------
|
|
| ------------------------------------------- | -------------------------------------------------
|
|
|\\n| \u2705 Event latency analysis | \U0001F51C Non-stationary
|
|
environment testing | \U0001F51C
|
|
LLM non-deterministic function detection | \U0001F6A7 Infinite loops and recursive
|
|
thought detection |\\n| \u2705 Agent workflow execution pricing | \U0001F51C
|
|
Multi-modal environments |
|
|
\U0001F6A7 Token limit overflow flags | \U0001F51C Faulty reasoning
|
|
detection |\\n| \U0001F6A7 Success validators (external)
|
|
\ | \U0001F51C Execution containers |
|
|
\U0001F51C Context limit overflow flags | \U0001F51C Generative
|
|
code validators |\\n| \U0001F51C Agent controllers/skill
|
|
tests | \u2705 Honeypot and prompt injection detection ([PromptArmor](https://promptarmor.com))
|
|
| \U0001F51C API bill tracking | \U0001F51C Error breakpoint
|
|
analysis |\\n| \U0001F51C Information context constraint
|
|
testing | \U0001F51C Anti-agent roadblocks (i.e. Captchas) |
|
|
\U0001F51C CI/CD integration checks | |\\n|
|
|
\U0001F51C Regression testing | \U0001F51C Multi-agent
|
|
framework visualization | |
|
|
\ |\\n\\n### Why AgentOps?
|
|
\U0001F914\\n\\nWithout the right tools, AI agents are slow, expensive, and
|
|
unreliable. Our mission is to bring your agent from prototype to production.
|
|
Here's why AgentOps stands out:\\n\\n- **Comprehensive Observability**: Track
|
|
your AI agents' performance, user interactions, and API usage.\\n- **Real-Time
|
|
Monitoring**: Get instant insights with session replays, metrics, and live
|
|
monitoring tools.\\n- **Cost Control**: Monitor and manage your spend on LLM
|
|
and API calls.\\n- **Failure Detection**: Quickly identify and respond to
|
|
agent failures and multi-agent interaction issues.\\n- **Tool Usage Statistics**:
|
|
Understand how your agents utilize external tools with detailed analytics.\\n-
|
|
**Session-Wide Metrics**: Gain a holistic view of your agents' sessions with
|
|
comprehensive statistics.\\n\\nAgentOps is designed to make agent observability,
|
|
testing, and monitoring easy.\\n\\n\\n## Star History\\n\\nCheck out our growth
|
|
in the community:\\n\\n<img src=\\\"https://api.star-history.com/svg?repos=AgentOps-AI/agentops&type=Date\\\"
|
|
style=\\\"max-width: 500px\\\" width=\\\"50%\\\" alt=\\\"Logo\\\">\\n\\n##
|
|
Popular projects using AgentOps\\n\\n\\n| Repository | Stars |\\n| :--------
|
|
\ | -----: |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/2707039?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [geekan](https://github.com/geekan)
|
|
/ [MetaGPT](https://github.com/geekan/MetaGPT) | 42787 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/130722866?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [run-llama](https://github.com/run-llama)
|
|
/ [llama_index](https://github.com/run-llama/llama_index) | 34446 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/170677839?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [crewAIInc](https://github.com/crewAIInc)
|
|
/ [crewAI](https://github.com/crewAIInc/crewAI) | 18287 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/134388954?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [camel-ai](https://github.com/camel-ai)
|
|
/ [camel](https://github.com/camel-ai/camel) | 5166 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/152537519?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [superagent-ai](https://github.com/superagent-ai)
|
|
/ [superagent](https://github.com/superagent-ai/superagent) | 5050 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/30197649?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [iyaja](https://github.com/iyaja)
|
|
/ [llama-fs](https://github.com/iyaja/llama-fs) | 4713 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/162546372?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [BasedHardware](https://github.com/BasedHardware)
|
|
/ [Omi](https://github.com/BasedHardware/Omi) | 2723 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/454862?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [MervinPraison](https://github.com/MervinPraison)
|
|
/ [PraisonAI](https://github.com/MervinPraison/PraisonAI) | 2007 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/140554352?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [AgentOps-AI](https://github.com/AgentOps-AI)
|
|
/ [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) | 272 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/173542722?s=48&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [swarmzero](https://github.com/swarmzero)
|
|
/ [swarmzero](https://github.com/swarmzero/swarmzero) | 195 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/3074263?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [strnad](https://github.com/strnad)
|
|
/ [CrewAI-Studio](https://github.com/strnad/CrewAI-Studio) | 134 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/18406448?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [alejandro-ao](https://github.com/alejandro-ao)
|
|
/ [exa-crewai](https://github.com/alejandro-ao/exa-crewai) | 55 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/64493665?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [tonykipkemboi](https://github.com/tonykipkemboi)
|
|
/ [youtube_yapper_trapper](https://github.com/tonykipkemboi/youtube_yapper_trapper)
|
|
| 47 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/17598928?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [sethcoast](https://github.com/sethcoast)
|
|
/ [cover-letter-builder](https://github.com/sethcoast/cover-letter-builder)
|
|
| 27 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/109994880?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [bhancockio](https://github.com/bhancockio)
|
|
/ [chatgpt4o-analysis](https://github.com/bhancockio/chatgpt4o-analysis) |
|
|
19 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/14105911?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [breakstring](https://github.com/breakstring)
|
|
/ [Agentic_Story_Book_Workflow](https://github.com/breakstring/Agentic_Story_Book_Workflow)
|
|
| 14 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/124134656?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [MULTI-ON](https://github.com/MULTI-ON)
|
|
/ [multion-python](https://github.com/MULTI-ON/multion-python) | 13 |\\n\\n\\n_Generated
|
|
using [github-dependents-info](https://github.com/nvuillam/github-dependents-info),
|
|
by [Nicolas Vuillamy](https://github.com/nvuillam)_\\n\",\"description_content_type\":\"text/markdown\",\"docs_url\":null,\"download_url\":null,\"downloads\":{\"last_day\":-1,\"last_month\":-1,\"last_week\":-1},\"dynamic\":null,\"home_page\":null,\"keywords\":null,\"license\":null,\"license_expression\":null,\"license_files\":[\"LICENSE\"],\"maintainer\":null,\"maintainer_email\":null,\"name\":\"agentops\",\"package_url\":\"https://pypi.org/project/agentops/\",\"platform\":null,\"project_url\":\"https://pypi.org/project/agentops/\",\"project_urls\":{\"Homepage\":\"https://github.com/AgentOps-AI/agentops\",\"Issues\":\"https://github.com/AgentOps-AI/agentops/issues\"},\"provides_extra\":null,\"release_url\":\"https://pypi.org/project/agentops/0.3.26/\",\"requires_dist\":[\"opentelemetry-api==1.22.0;
|
|
python_version < \\\"3.10\\\"\",\"opentelemetry-api>=1.27.0; python_version
|
|
>= \\\"3.10\\\"\",\"opentelemetry-exporter-otlp-proto-http==1.22.0; python_version
|
|
< \\\"3.10\\\"\",\"opentelemetry-exporter-otlp-proto-http>=1.27.0; python_version
|
|
>= \\\"3.10\\\"\",\"opentelemetry-sdk==1.22.0; python_version < \\\"3.10\\\"\",\"opentelemetry-sdk>=1.27.0;
|
|
python_version >= \\\"3.10\\\"\",\"packaging<25.0,>=21.0\",\"psutil<6.1.0,>=5.9.8\",\"pyyaml<7.0,>=5.3\",\"requests<3.0.0,>=2.0.0\",\"termcolor<2.5.0,>=2.3.0\"],\"requires_python\":\"<3.14,>=3.9\",\"summary\":\"Observability
|
|
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style=\\\"justify-content: center\\\">\\n <img src=\\\"docs/images/external/app_screenshots/dashboard-banner.png\\\"
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\ | |\\n|
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------------------------------------- | -------------------------------------------------------------
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|\\n| \U0001F4CA **Replay Analytics and Debugging** | Step-by-step agent execution
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graphs |\\n| \U0001F4B8 **LLM Cost Management**
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\ | Track spend with LLM foundation model providers |\\n|
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\U0001F9EA **Agent Benchmarking** | Test your agents against 1,000+
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\U0001F91D **Framework Integrations** | Native Integrations with CrewAI,
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AG2(AutoGen), Camel AI, & LangChain |\\n\\n## Quick Start \u2328\uFE0F\\n\\n```bash\\npip
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< INSERT YOUR API KEY HERE >)\\n\\n...\\n\\n# End of program\\nagentops.end_session('Success')\\n```\\n\\nAll
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your sessions can be viewed on the [AgentOps dashboard](https://app.agentops.ai?ref=gh)\\n<br/>\\n\\n<details>\\n
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\ <img src=\\\"docs/images/external/app_screenshots/session-drilldown-metadata.png\\\"
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style=\\\"width: 90%;\\\" alt=\\\"Agent Metadata\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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\ <img src=\\\"docs/images/external/app_screenshots/chat-viewer.png\\\"
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style=\\\"width: 90%;\\\" alt=\\\"Chat Viewer\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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style=\\\"width: 90%;\\\" alt=\\\"Event Graphs\\\"/>\\n </a>\\n</details>\\n\\n<details>\\n
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style=\\\"width: 90%;\\\" alt=\\\"Session Replays\\\"/>\\n </a>\\n</details>\\n\\n<details
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\ <img src=\\\"docs/images/external/app_screenshots/overview.png\\\" style=\\\"width:
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90%;\\\" alt=\\\"Summary Analytics\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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style=\\\"width: 90%;\\\" alt=\\\"Summary Analytics Charts\\\"/>\\n </a>\\n</details>\\n\\n\\n###
|
|
First class Developer Experience\\nAdd powerful observability to your agents,
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|
tools, and functions with as little code as possible: one line at a time.\\n<br/>\\nRefer
|
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to our [documentation](http://docs.agentops.ai)\\n\\n```python\\n# Automatically
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associate all Events with the agent that originated them\\nfrom agentops import
|
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track_agent\\n\\n@track_agent(name='SomeCustomName')\\nclass MyAgent:\\n ...\\n```\\n\\n```python\\n#
|
|
Automatically create ToolEvents for tools that agents will use\\nfrom agentops
|
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import record_tool\\n\\n@record_tool('SampleToolName')\\ndef sample_tool(...):\\n
|
|
\ ...\\n```\\n\\n```python\\n# Automatically create ActionEvents for other
|
|
functions.\\nfrom agentops import record_action\\n\\n@agentops.record_action('sample
|
|
function being record')\\ndef sample_function(...):\\n ...\\n```\\n\\n```python\\n#
|
|
Manually record any other Events\\nfrom agentops import record, ActionEvent\\n\\nrecord(ActionEvent(\\\"received_user_input\\\"))\\n```\\n\\n##
|
|
Integrations \U0001F9BE\\n\\n### CrewAI \U0001F6F6\\n\\nBuild Crew agents
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with observability with only 2 lines of code. Simply set an `AGENTOPS_API_KEY`
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in your environment, and your crews will get automatic monitoring on the AgentOps
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dashboard.\\n\\n```bash\\npip install 'crewai[agentops]'\\n```\\n\\n- [AgentOps
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integration example](https://docs.agentops.ai/v1/integrations/crewai)\\n-
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[Official CrewAI documentation](https://docs.crewai.com/how-to/AgentOps-Observability)\\n\\n###
|
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AG2 \U0001F916\\nWith only two lines of code, add full observability and monitoring
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to AG2 (formerly AutoGen) agents. Set an `AGENTOPS_API_KEY` in your environment
|
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and call `agentops.init()`\\n\\n- [AG2 Observability Example](https://docs.ag2.ai/notebooks/agentchat_agentops)\\n-
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[AG2 - AgentOps Documentation](https://docs.ag2.ai/docs/ecosystem/agentops)\\n\\n###
|
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Camel AI \U0001F42A\\n\\nTrack and analyze CAMEL agents with full observability.
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Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get
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started.\\n\\n- [Camel AI](https://www.camel-ai.org/) - Advanced agent communication
|
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framework\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/camel)\\n-
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[Official Camel AI documentation](https://docs.camel-ai.org/cookbooks/agents_tracking.html)\\n\\n<details>\\n
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\ <summary>Installation</summary>\\n\\n```bash\\npip install \\\"camel-ai[all]==0.2.11\\\"\\npip
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ModelType\\n\\n# Initialize AgentOps\\nagentops.init(os.getenv(\\\"AGENTOPS_API_KEY\\\"),
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\ role_name='Tools calling operator',\\n content='You are a helpful assistant'\\n)\\n\\n#
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for more examples including multi-agent scenarios.\\n</details>\\n\\n### Langchain
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\U0001F99C\U0001F517\\n\\nAgentOps works seamlessly with applications built
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|
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\ <summary>Installation</summary>\\n \\n```shell\\npip install agentops[langchain]\\n```\\n\\nTo
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|
tags=['Langchain Example'])\\n\\nllm = ChatOpenAI(openai_api_key=OPENAI_API_KEY,\\n
|
|
\ callbacks=[handler],\\n model='gpt-3.5-turbo')\\n\\nagent
|
|
= initialize_agent(tools,\\n llm,\\n agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,\\n
|
|
\ verbose=True,\\n callbacks=[handler],
|
|
# You must pass in a callback handler to record your agent\\n handle_parsing_errors=True)\\n```\\n\\nCheck
|
|
out the [Langchain Examples Notebook](./examples/langchain_examples.ipynb)
|
|
for more details including Async handlers.\\n\\n</details>\\n\\n### Cohere
|
|
\u2328\uFE0F\\n\\nFirst class support for Cohere(>=5.4.0). This is a living
|
|
integration, should you need any added functionality please message us on
|
|
Discord!\\n\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/cohere)\\n-
|
|
[Official Cohere documentation](https://docs.cohere.com/reference/about)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install cohere\\n```\\n\\n```python
|
|
python\\nimport cohere\\nimport agentops\\n\\n# Beginning of program's code
|
|
(i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\nco
|
|
= cohere.Client()\\n\\nchat = co.chat(\\n message=\\\"Is it pronounced
|
|
ceaux-hear or co-hehray?\\\"\\n)\\n\\nprint(chat)\\n\\nagentops.end_session('Success')\\n```\\n\\n```python
|
|
python\\nimport cohere\\nimport agentops\\n\\n# Beginning of program's code
|
|
(i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nco
|
|
= cohere.Client()\\n\\nstream = co.chat_stream(\\n message=\\\"Write me
|
|
a haiku about the synergies between Cohere and AgentOps\\\"\\n)\\n\\nfor event
|
|
in stream:\\n if event.event_type == \\\"text-generation\\\":\\n print(event.text,
|
|
end='')\\n\\nagentops.end_session('Success')\\n```\\n</details>\\n\\n\\n###
|
|
Anthropic \uFE68\\n\\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\\n\\n-
|
|
[AgentOps integration guide](https://docs.agentops.ai/v1/integrations/anthropic)\\n-
|
|
[Official Anthropic documentation](https://docs.anthropic.com/en/docs/welcome)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install anthropic\\n```\\n\\n```python
|
|
python\\nimport anthropic\\nimport agentops\\n\\n# Beginning of program's
|
|
code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nclient
|
|
= anthropic.Anthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.messages.create(\\n max_tokens=1024,\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me a cool fact about AgentOps\\\",\\n }\\n ],\\n
|
|
\ model=\\\"claude-3-opus-20240229\\\",\\n )\\nprint(message.content)\\n\\nagentops.end_session('Success')\\n```\\n\\nStreaming\\n```python
|
|
python\\nimport anthropic\\nimport agentops\\n\\n# Beginning of program's
|
|
code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nclient
|
|
= anthropic.Anthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\nstream
|
|
= client.messages.create(\\n max_tokens=1024,\\n model=\\\"claude-3-opus-20240229\\\",\\n
|
|
\ messages=[\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something cool about streaming agents\\\",\\n }\\n ],\\n
|
|
\ stream=True,\\n)\\n\\nresponse = \\\"\\\"\\nfor event in stream:\\n if
|
|
event.type == \\\"content_block_delta\\\":\\n response += event.delta.text\\n
|
|
\ elif event.type == \\\"message_stop\\\":\\n print(\\\"\\\\n\\\")\\n
|
|
\ print(response)\\n print(\\\"\\\\n\\\")\\n```\\n\\nAsync\\n\\n```python
|
|
python\\nimport asyncio\\nfrom anthropic import AsyncAnthropic\\n\\nclient
|
|
= AsyncAnthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.messages.create(\\n max_tokens=1024,\\n
|
|
\ messages=[\\n {\\n \\\"role\\\": \\\"user\\\",\\n
|
|
\ \\\"content\\\": \\\"Tell me something interesting about async
|
|
agents\\\",\\n }\\n ],\\n model=\\\"claude-3-opus-20240229\\\",\\n
|
|
\ )\\n print(message.content)\\n\\n\\nawait main()\\n```\\n</details>\\n\\n###
|
|
Mistral \u303D\uFE0F\\n\\nTrack agents built with the Anthropic Python SDK
|
|
(>=0.32.0).\\n\\n- [AgentOps integration example](./examples/mistral//mistral_example.ipynb)\\n-
|
|
[Official Mistral documentation](https://docs.mistral.ai)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install mistralai\\n```\\n\\nSync\\n\\n```python
|
|
python\\nfrom mistralai import Mistral\\nimport agentops\\n\\n# Beginning
|
|
of program's code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR
|
|
API KEY HERE>)\\n\\nclient = Mistral(\\n # This is the default and can
|
|
be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.chat.complete(\\n messages=[\\n {\\n \\\"role\\\":
|
|
\\\"user\\\",\\n \\\"content\\\": \\\"Tell me a cool fact about
|
|
AgentOps\\\",\\n }\\n ],\\n model=\\\"open-mistral-nemo\\\",\\n
|
|
\ )\\nprint(message.choices[0].message.content)\\n\\nagentops.end_session('Success')\\n```\\n\\nStreaming\\n\\n```python
|
|
python\\nfrom mistralai import Mistral\\nimport agentops\\n\\n# Beginning
|
|
of program's code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR
|
|
API KEY HERE>)\\n\\nclient = Mistral(\\n # This is the default and can
|
|
be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.chat.stream(\\n messages=[\\n {\\n \\\"role\\\":
|
|
\\\"user\\\",\\n \\\"content\\\": \\\"Tell me something cool
|
|
about streaming agents\\\",\\n }\\n ],\\n model=\\\"open-mistral-nemo\\\",\\n
|
|
\ )\\n\\nresponse = \\\"\\\"\\nfor event in message:\\n if event.data.choices[0].finish_reason
|
|
== \\\"stop\\\":\\n print(\\\"\\\\n\\\")\\n print(response)\\n
|
|
\ print(\\\"\\\\n\\\")\\n else:\\n response += event.text\\n\\nagentops.end_session('Success')\\n```\\n\\nAsync\\n\\n```python
|
|
python\\nimport asyncio\\nfrom mistralai import Mistral\\n\\nclient = Mistral(\\n
|
|
\ # This is the default and can be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.chat.complete_async(\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something interesting about async agents\\\",\\n }\\n
|
|
\ ],\\n model=\\\"open-mistral-nemo\\\",\\n )\\n print(message.choices[0].message.content)\\n\\n\\nawait
|
|
main()\\n```\\n\\nAsync Streaming\\n\\n```python python\\nimport asyncio\\nfrom
|
|
mistralai import Mistral\\n\\nclient = Mistral(\\n # This is the default
|
|
and can be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.chat.stream_async(\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something interesting about async streaming agents\\\",\\n }\\n
|
|
\ ],\\n model=\\\"open-mistral-nemo\\\",\\n )\\n\\n response
|
|
= \\\"\\\"\\n async for event in message:\\n if event.data.choices[0].finish_reason
|
|
== \\\"stop\\\":\\n print(\\\"\\\\n\\\")\\n print(response)\\n
|
|
\ print(\\\"\\\\n\\\")\\n else:\\n response +=
|
|
event.text\\n\\n\\nawait main()\\n```\\n</details>\\n\\n\\n\\n### CamelAI
|
|
\uFE68\\n\\nTrack agents built with the CamelAI Python SDK (>=0.32.0).\\n\\n-
|
|
[CamelAI integration guide](https://docs.camel-ai.org/cookbooks/agents_tracking.html#)\\n-
|
|
[Official CamelAI documentation](https://docs.camel-ai.org/index.html)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install camel-ai[all]\\npip
|
|
install agentops\\n```\\n\\n```python python\\n#Import Dependencies\\nimport
|
|
agentops\\nimport os\\nfrom getpass import getpass\\nfrom dotenv import load_dotenv\\n\\n#Set
|
|
Keys\\nload_dotenv()\\nopenai_api_key = os.getenv(\\\"OPENAI_API_KEY\\\")
|
|
or \\\"<your openai key here>\\\"\\nagentops_api_key = os.getenv(\\\"AGENTOPS_API_KEY\\\")
|
|
or \\\"<your agentops key here>\\\"\\n\\n\\n\\n```\\n</details>\\n\\n[You
|
|
can find usage examples here!](examples/camelai_examples/README.md).\\n\\n\\n\\n###
|
|
LiteLLM \U0001F685\\n\\nAgentOps provides support for LiteLLM(>=1.3.1), allowing
|
|
you to call 100+ LLMs using the same Input/Output Format. \\n\\n- [AgentOps
|
|
integration example](https://docs.agentops.ai/v1/integrations/litellm)\\n-
|
|
[Official LiteLLM documentation](https://docs.litellm.ai/docs/providers)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install litellm\\n```\\n\\n```python
|
|
python\\n# Do not use LiteLLM like this\\n# from litellm import completion\\n#
|
|
...\\n# response = completion(model=\\\"claude-3\\\", messages=messages)\\n\\n#
|
|
Use LiteLLM like this\\nimport litellm\\n...\\nresponse = litellm.completion(model=\\\"claude-3\\\",
|
|
messages=messages)\\n# or\\nresponse = await litellm.acompletion(model=\\\"claude-3\\\",
|
|
messages=messages)\\n```\\n</details>\\n\\n### LlamaIndex \U0001F999\\n\\n\\nAgentOps
|
|
works seamlessly with applications built using LlamaIndex, a framework for
|
|
building context-augmented generative AI applications with LLMs.\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```shell\\npip install llama-index-instrumentation-agentops\\n```\\n\\nTo
|
|
use the handler, import and set\\n\\n```python\\nfrom llama_index.core import
|
|
set_global_handler\\n\\n# NOTE: Feel free to set your AgentOps environment
|
|
variables (e.g., 'AGENTOPS_API_KEY')\\n# as outlined in the AgentOps documentation,
|
|
or pass the equivalent keyword arguments\\n# anticipated by AgentOps' AOClient
|
|
as **eval_params in set_global_handler.\\n\\nset_global_handler(\\\"agentops\\\")\\n```\\n\\nCheck
|
|
out the [LlamaIndex docs](https://docs.llamaindex.ai/en/stable/module_guides/observability/?h=agentops#agentops)
|
|
for more details.\\n\\n</details>\\n\\n### Llama Stack \U0001F999\U0001F95E\\n\\nAgentOps
|
|
provides support for Llama Stack Python Client(>=0.0.53), allowing you to
|
|
monitor your Agentic applications. \\n\\n- [AgentOps integration example 1](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-fdddf65549f3714f8f007ce7dfd1cde720329fe54155d54389dd50fbd81813cb)\\n-
|
|
[AgentOps integration example 2](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-6688ff4fb7ab1ce7b1cc9b8362ca27264a3060c16737fb1d850305787a6e3699)\\n-
|
|
[Official Llama Stack Python Client](https://github.com/meta-llama/llama-stack-client-python)\\n\\n###
|
|
SwarmZero AI \U0001F41D\\n\\nTrack and analyze SwarmZero agents with full
|
|
observability. Set an `AGENTOPS_API_KEY` in your environment and initialize
|
|
AgentOps to get started.\\n\\n- [SwarmZero](https://swarmzero.ai) - Advanced
|
|
multi-agent framework\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/swarmzero)\\n-
|
|
[SwarmZero AI integration example](https://docs.swarmzero.ai/examples/ai-agents/build-and-monitor-a-web-search-agent)\\n-
|
|
[SwarmZero AI - AgentOps documentation](https://docs.swarmzero.ai/sdk/observability/agentops)\\n-
|
|
[Official SwarmZero Python SDK](https://github.com/swarmzero/swarmzero)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n\\n```bash\\npip install swarmzero\\npip
|
|
install agentops\\n```\\n\\n```python\\nfrom dotenv import load_dotenv\\nload_dotenv()\\n\\nimport
|
|
agentops\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nfrom swarmzero import
|
|
Agent, Swarm\\n# ...\\n```\\n</details>\\n\\n## Time travel debugging \U0001F52E\\n\\n<div
|
|
style=\\\"justify-content: center\\\">\\n <img src=\\\"docs/images/external/app_screenshots/time_travel_banner.png\\\"
|
|
alt=\\\"Time Travel Banner\\\">\\n</div>\\n\\n<br />\\n\\n[Try it out!](https://app.agentops.ai/timetravel)\\n\\n##
|
|
Agent Arena \U0001F94A\\n\\n(coming soon!)\\n\\n## Evaluations Roadmap \U0001F9ED\\n\\n|
|
|
Platform |
|
|
Dashboard | Evals |\\n|
|
|
----------------------------------------------------------------------------
|
|
| ------------------------------------------ | --------------------------------------
|
|
|\\n| \u2705 Python SDK |
|
|
\u2705 Multi-session and Cross-session metrics | \u2705 Custom eval metrics
|
|
\ |\\n| \U0001F6A7 Evaluation builder API |
|
|
\u2705 Custom event tag tracking\_ | \U0001F51C Agent scorecards
|
|
\ |\\n| \u2705 [Javascript/Typescript SDK](https://github.com/AgentOps-AI/agentops-node)
|
|
| \u2705 Session replays | \U0001F51C Evaluation playground
|
|
+ leaderboard |\\n\\n## Debugging Roadmap \U0001F9ED\\n\\n| Performance testing
|
|
\ | Environments |
|
|
LLM Testing | Reasoning and execution testing
|
|
\ |\\n| ----------------------------------------- | -----------------------------------------------------------------------------------
|
|
| ------------------------------------------- | -------------------------------------------------
|
|
|\\n| \u2705 Event latency analysis | \U0001F51C Non-stationary
|
|
environment testing | \U0001F51C
|
|
LLM non-deterministic function detection | \U0001F6A7 Infinite loops and recursive
|
|
thought detection |\\n| \u2705 Agent workflow execution pricing | \U0001F51C
|
|
Multi-modal environments |
|
|
\U0001F6A7 Token limit overflow flags | \U0001F51C Faulty reasoning
|
|
detection |\\n| \U0001F6A7 Success validators (external)
|
|
\ | \U0001F51C Execution containers |
|
|
\U0001F51C Context limit overflow flags | \U0001F51C Generative
|
|
code validators |\\n| \U0001F51C Agent controllers/skill
|
|
tests | \u2705 Honeypot and prompt injection detection ([PromptArmor](https://promptarmor.com))
|
|
| \U0001F51C API bill tracking | \U0001F51C Error breakpoint
|
|
analysis |\\n| \U0001F51C Information context constraint
|
|
testing | \U0001F51C Anti-agent roadblocks (i.e. Captchas) |
|
|
\U0001F51C CI/CD integration checks | |\\n|
|
|
\U0001F51C Regression testing | \U0001F51C Multi-agent
|
|
framework visualization | |
|
|
\ |\\n\\n### Why AgentOps?
|
|
\U0001F914\\n\\nWithout the right tools, AI agents are slow, expensive, and
|
|
unreliable. Our mission is to bring your agent from prototype to production.
|
|
Here's why AgentOps stands out:\\n\\n- **Comprehensive Observability**: Track
|
|
your AI agents' performance, user interactions, and API usage.\\n- **Real-Time
|
|
Monitoring**: Get instant insights with session replays, metrics, and live
|
|
monitoring tools.\\n- **Cost Control**: Monitor and manage your spend on LLM
|
|
and API calls.\\n- **Failure Detection**: Quickly identify and respond to
|
|
agent failures and multi-agent interaction issues.\\n- **Tool Usage Statistics**:
|
|
Understand how your agents utilize external tools with detailed analytics.\\n-
|
|
**Session-Wide Metrics**: Gain a holistic view of your agents' sessions with
|
|
comprehensive statistics.\\n\\nAgentOps is designed to make agent observability,
|
|
testing, and monitoring easy.\\n\\n\\n## Star History\\n\\nCheck out our growth
|
|
in the community:\\n\\n<img src=\\\"https://api.star-history.com/svg?repos=AgentOps-AI/agentops&type=Date\\\"
|
|
style=\\\"max-width: 500px\\\" width=\\\"50%\\\" alt=\\\"Logo\\\">\\n\\n##
|
|
Popular projects using AgentOps\\n\\n\\n| Repository | Stars |\\n| :--------
|
|
\ | -----: |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/2707039?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [geekan](https://github.com/geekan)
|
|
/ [MetaGPT](https://github.com/geekan/MetaGPT) | 42787 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/130722866?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [run-llama](https://github.com/run-llama)
|
|
/ [llama_index](https://github.com/run-llama/llama_index) | 34446 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/170677839?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [crewAIInc](https://github.com/crewAIInc)
|
|
/ [crewAI](https://github.com/crewAIInc/crewAI) | 18287 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/134388954?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [camel-ai](https://github.com/camel-ai)
|
|
/ [camel](https://github.com/camel-ai/camel) | 5166 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/152537519?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [superagent-ai](https://github.com/superagent-ai)
|
|
/ [superagent](https://github.com/superagent-ai/superagent) | 5050 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/30197649?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [iyaja](https://github.com/iyaja)
|
|
/ [llama-fs](https://github.com/iyaja/llama-fs) | 4713 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/162546372?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [BasedHardware](https://github.com/BasedHardware)
|
|
/ [Omi](https://github.com/BasedHardware/Omi) | 2723 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/454862?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [MervinPraison](https://github.com/MervinPraison)
|
|
/ [PraisonAI](https://github.com/MervinPraison/PraisonAI) | 2007 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/140554352?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [AgentOps-AI](https://github.com/AgentOps-AI)
|
|
/ [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) | 272 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/173542722?s=48&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [swarmzero](https://github.com/swarmzero)
|
|
/ [swarmzero](https://github.com/swarmzero/swarmzero) | 195 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/3074263?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [strnad](https://github.com/strnad)
|
|
/ [CrewAI-Studio](https://github.com/strnad/CrewAI-Studio) | 134 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/18406448?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [alejandro-ao](https://github.com/alejandro-ao)
|
|
/ [exa-crewai](https://github.com/alejandro-ao/exa-crewai) | 55 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/64493665?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [tonykipkemboi](https://github.com/tonykipkemboi)
|
|
/ [youtube_yapper_trapper](https://github.com/tonykipkemboi/youtube_yapper_trapper)
|
|
| 47 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/17598928?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [sethcoast](https://github.com/sethcoast)
|
|
/ [cover-letter-builder](https://github.com/sethcoast/cover-letter-builder)
|
|
| 27 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/109994880?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [bhancockio](https://github.com/bhancockio)
|
|
/ [chatgpt4o-analysis](https://github.com/bhancockio/chatgpt4o-analysis) |
|
|
19 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/14105911?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [breakstring](https://github.com/breakstring)
|
|
/ [Agentic_Story_Book_Workflow](https://github.com/breakstring/Agentic_Story_Book_Workflow)
|
|
| 14 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/124134656?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [MULTI-ON](https://github.com/MULTI-ON)
|
|
/ [multion-python](https://github.com/MULTI-ON/multion-python) | 13 |\\n\\n\\n_Generated
|
|
using [github-dependents-info](https://github.com/nvuillam/github-dependents-info),
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\ | |\\n|
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------------------------------------- | -------------------------------------------------------------
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|\\n| \U0001F4CA **Replay Analytics and Debugging** | Step-by-step agent execution
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graphs |\\n| \U0001F4B8 **LLM Cost Management**
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\ | Track spend with LLM foundation model providers |\\n|
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\U0001F9EA **Agent Benchmarking** | Test your agents against 1,000+
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\ | Detect common prompt injection and data exfiltration exploits |\\n|
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\U0001F91D **Framework Integrations** | Native Integrations with CrewAI,
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AG2(AutoGen), Camel AI, & LangChain |\\n\\n## Quick Start \u2328\uFE0F\\n\\n```bash\\npip
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the AgentOps client and automatically get analytics on all your LLM calls.\\n\\n[Get
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< INSERT YOUR API KEY HERE >)\\n\\n...\\n\\n# End of program\\nagentops.end_session('Success')\\n```\\n\\nAll
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your sessions can be viewed on the [AgentOps dashboard](https://app.agentops.ai?ref=gh)\\n<br/>\\n\\n<details>\\n
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style=\\\"width: 90%;\\\" alt=\\\"Agent Metadata\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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style=\\\"width: 90%;\\\" alt=\\\"Chat Viewer\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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style=\\\"width: 90%;\\\" alt=\\\"Event Graphs\\\"/>\\n </a>\\n</details>\\n\\n<details>\\n
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style=\\\"width: 90%;\\\" alt=\\\"Session Replays\\\"/>\\n </a>\\n</details>\\n\\n<details
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open>\\n <summary>Summary Analytics</summary>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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\ <img src=\\\"docs/images/external/app_screenshots/overview.png\\\" style=\\\"width:
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90%;\\\" alt=\\\"Summary Analytics\\\"/>\\n </a>\\n <a href=\\\"https://app.agentops.ai?ref=gh\\\">\\n
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style=\\\"width: 90%;\\\" alt=\\\"Summary Analytics Charts\\\"/>\\n </a>\\n</details>\\n\\n\\n###
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First class Developer Experience\\nAdd powerful observability to your agents,
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tools, and functions with as little code as possible: one line at a time.\\n<br/>\\nRefer
|
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to our [documentation](http://docs.agentops.ai)\\n\\n```python\\n# Automatically
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associate all Events with the agent that originated them\\nfrom agentops import
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track_agent\\n\\n@track_agent(name='SomeCustomName')\\nclass MyAgent:\\n ...\\n```\\n\\n```python\\n#
|
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Automatically create ToolEvents for tools that agents will use\\nfrom agentops
|
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import record_tool\\n\\n@record_tool('SampleToolName')\\ndef sample_tool(...):\\n
|
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\ ...\\n```\\n\\n```python\\n# Automatically create ActionEvents for other
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functions.\\nfrom agentops import record_action\\n\\n@agentops.record_action('sample
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function being record')\\ndef sample_function(...):\\n ...\\n```\\n\\n```python\\n#
|
|
Manually record any other Events\\nfrom agentops import record, ActionEvent\\n\\nrecord(ActionEvent(\\\"received_user_input\\\"))\\n```\\n\\n##
|
|
Integrations \U0001F9BE\\n\\n### CrewAI \U0001F6F6\\n\\nBuild Crew agents
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with observability with only 2 lines of code. Simply set an `AGENTOPS_API_KEY`
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in your environment, and your crews will get automatic monitoring on the AgentOps
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dashboard.\\n\\n```bash\\npip install 'crewai[agentops]'\\n```\\n\\n- [AgentOps
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integration example](https://docs.agentops.ai/v1/integrations/crewai)\\n-
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[Official CrewAI documentation](https://docs.crewai.com/how-to/AgentOps-Observability)\\n\\n###
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AG2 \U0001F916\\nWith only two lines of code, add full observability and monitoring
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to AG2 (formerly AutoGen) agents. Set an `AGENTOPS_API_KEY` in your environment
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and call `agentops.init()`\\n\\n- [AG2 Observability Example](https://docs.ag2.ai/notebooks/agentchat_agentops)\\n-
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[AG2 - AgentOps Documentation](https://docs.ag2.ai/docs/ecosystem/agentops)\\n\\n###
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Camel AI \U0001F42A\\n\\nTrack and analyze CAMEL agents with full observability.
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Set an `AGENTOPS_API_KEY` in your environment and initialize AgentOps to get
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started.\\n\\n- [Camel AI](https://www.camel-ai.org/) - Advanced agent communication
|
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framework\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/camel)\\n-
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[Official Camel AI documentation](https://docs.camel-ai.org/cookbooks/agents_tracking.html)\\n\\n<details>\\n
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\ <summary>Installation</summary>\\n\\n```bash\\npip install \\\"camel-ai[all]==0.2.11\\\"\\npip
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ModelType\\n\\n# Initialize AgentOps\\nagentops.init(os.getenv(\\\"AGENTOPS_API_KEY\\\"),
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default_tags=[\\\"CAMEL Example\\\"])\\n\\n# Import toolkits after AgentOps
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for more examples including multi-agent scenarios.\\n</details>\\n\\n### Langchain
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\U0001F99C\U0001F517\\n\\nAgentOps works seamlessly with applications built
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\ <summary>Installation</summary>\\n \\n```shell\\npip install agentops[langchain]\\n```\\n\\nTo
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tags=['Langchain Example'])\\n\\nllm = ChatOpenAI(openai_api_key=OPENAI_API_KEY,\\n
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|
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|
|
out the [Langchain Examples Notebook](./examples/langchain_examples.ipynb)
|
|
for more details including Async handlers.\\n\\n</details>\\n\\n### Cohere
|
|
\u2328\uFE0F\\n\\nFirst class support for Cohere(>=5.4.0). This is a living
|
|
integration, should you need any added functionality please message us on
|
|
Discord!\\n\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/cohere)\\n-
|
|
[Official Cohere documentation](https://docs.cohere.com/reference/about)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install cohere\\n```\\n\\n```python
|
|
python\\nimport cohere\\nimport agentops\\n\\n# Beginning of program's code
|
|
(i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\nco
|
|
= cohere.Client()\\n\\nchat = co.chat(\\n message=\\\"Is it pronounced
|
|
ceaux-hear or co-hehray?\\\"\\n)\\n\\nprint(chat)\\n\\nagentops.end_session('Success')\\n```\\n\\n```python
|
|
python\\nimport cohere\\nimport agentops\\n\\n# Beginning of program's code
|
|
(i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nco
|
|
= cohere.Client()\\n\\nstream = co.chat_stream(\\n message=\\\"Write me
|
|
a haiku about the synergies between Cohere and AgentOps\\\"\\n)\\n\\nfor event
|
|
in stream:\\n if event.event_type == \\\"text-generation\\\":\\n print(event.text,
|
|
end='')\\n\\nagentops.end_session('Success')\\n```\\n</details>\\n\\n\\n###
|
|
Anthropic \uFE68\\n\\nTrack agents built with the Anthropic Python SDK (>=0.32.0).\\n\\n-
|
|
[AgentOps integration guide](https://docs.agentops.ai/v1/integrations/anthropic)\\n-
|
|
[Official Anthropic documentation](https://docs.anthropic.com/en/docs/welcome)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install anthropic\\n```\\n\\n```python
|
|
python\\nimport anthropic\\nimport agentops\\n\\n# Beginning of program's
|
|
code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nclient
|
|
= anthropic.Anthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.messages.create(\\n max_tokens=1024,\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me a cool fact about AgentOps\\\",\\n }\\n ],\\n
|
|
\ model=\\\"claude-3-opus-20240229\\\",\\n )\\nprint(message.content)\\n\\nagentops.end_session('Success')\\n```\\n\\nStreaming\\n```python
|
|
python\\nimport anthropic\\nimport agentops\\n\\n# Beginning of program's
|
|
code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nclient
|
|
= anthropic.Anthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\nstream
|
|
= client.messages.create(\\n max_tokens=1024,\\n model=\\\"claude-3-opus-20240229\\\",\\n
|
|
\ messages=[\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something cool about streaming agents\\\",\\n }\\n ],\\n
|
|
\ stream=True,\\n)\\n\\nresponse = \\\"\\\"\\nfor event in stream:\\n if
|
|
event.type == \\\"content_block_delta\\\":\\n response += event.delta.text\\n
|
|
\ elif event.type == \\\"message_stop\\\":\\n print(\\\"\\\\n\\\")\\n
|
|
\ print(response)\\n print(\\\"\\\\n\\\")\\n```\\n\\nAsync\\n\\n```python
|
|
python\\nimport asyncio\\nfrom anthropic import AsyncAnthropic\\n\\nclient
|
|
= AsyncAnthropic(\\n # This is the default and can be omitted\\n api_key=os.environ.get(\\\"ANTHROPIC_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.messages.create(\\n max_tokens=1024,\\n
|
|
\ messages=[\\n {\\n \\\"role\\\": \\\"user\\\",\\n
|
|
\ \\\"content\\\": \\\"Tell me something interesting about async
|
|
agents\\\",\\n }\\n ],\\n model=\\\"claude-3-opus-20240229\\\",\\n
|
|
\ )\\n print(message.content)\\n\\n\\nawait main()\\n```\\n</details>\\n\\n###
|
|
Mistral \u303D\uFE0F\\n\\nTrack agents built with the Anthropic Python SDK
|
|
(>=0.32.0).\\n\\n- [AgentOps integration example](./examples/mistral//mistral_example.ipynb)\\n-
|
|
[Official Mistral documentation](https://docs.mistral.ai)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install mistralai\\n```\\n\\nSync\\n\\n```python
|
|
python\\nfrom mistralai import Mistral\\nimport agentops\\n\\n# Beginning
|
|
of program's code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR
|
|
API KEY HERE>)\\n\\nclient = Mistral(\\n # This is the default and can
|
|
be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.chat.complete(\\n messages=[\\n {\\n \\\"role\\\":
|
|
\\\"user\\\",\\n \\\"content\\\": \\\"Tell me a cool fact about
|
|
AgentOps\\\",\\n }\\n ],\\n model=\\\"open-mistral-nemo\\\",\\n
|
|
\ )\\nprint(message.choices[0].message.content)\\n\\nagentops.end_session('Success')\\n```\\n\\nStreaming\\n\\n```python
|
|
python\\nfrom mistralai import Mistral\\nimport agentops\\n\\n# Beginning
|
|
of program's code (i.e. main.py, __init__.py)\\nagentops.init(<INSERT YOUR
|
|
API KEY HERE>)\\n\\nclient = Mistral(\\n # This is the default and can
|
|
be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\nmessage
|
|
= client.chat.stream(\\n messages=[\\n {\\n \\\"role\\\":
|
|
\\\"user\\\",\\n \\\"content\\\": \\\"Tell me something cool
|
|
about streaming agents\\\",\\n }\\n ],\\n model=\\\"open-mistral-nemo\\\",\\n
|
|
\ )\\n\\nresponse = \\\"\\\"\\nfor event in message:\\n if event.data.choices[0].finish_reason
|
|
== \\\"stop\\\":\\n print(\\\"\\\\n\\\")\\n print(response)\\n
|
|
\ print(\\\"\\\\n\\\")\\n else:\\n response += event.text\\n\\nagentops.end_session('Success')\\n```\\n\\nAsync\\n\\n```python
|
|
python\\nimport asyncio\\nfrom mistralai import Mistral\\n\\nclient = Mistral(\\n
|
|
\ # This is the default and can be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.chat.complete_async(\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something interesting about async agents\\\",\\n }\\n
|
|
\ ],\\n model=\\\"open-mistral-nemo\\\",\\n )\\n print(message.choices[0].message.content)\\n\\n\\nawait
|
|
main()\\n```\\n\\nAsync Streaming\\n\\n```python python\\nimport asyncio\\nfrom
|
|
mistralai import Mistral\\n\\nclient = Mistral(\\n # This is the default
|
|
and can be omitted\\n api_key=os.environ.get(\\\"MISTRAL_API_KEY\\\"),\\n)\\n\\n\\nasync
|
|
def main() -> None:\\n message = await client.chat.stream_async(\\n messages=[\\n
|
|
\ {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\":
|
|
\\\"Tell me something interesting about async streaming agents\\\",\\n }\\n
|
|
\ ],\\n model=\\\"open-mistral-nemo\\\",\\n )\\n\\n response
|
|
= \\\"\\\"\\n async for event in message:\\n if event.data.choices[0].finish_reason
|
|
== \\\"stop\\\":\\n print(\\\"\\\\n\\\")\\n print(response)\\n
|
|
\ print(\\\"\\\\n\\\")\\n else:\\n response +=
|
|
event.text\\n\\n\\nawait main()\\n```\\n</details>\\n\\n\\n\\n### CamelAI
|
|
\uFE68\\n\\nTrack agents built with the CamelAI Python SDK (>=0.32.0).\\n\\n-
|
|
[CamelAI integration guide](https://docs.camel-ai.org/cookbooks/agents_tracking.html#)\\n-
|
|
[Official CamelAI documentation](https://docs.camel-ai.org/index.html)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install camel-ai[all]\\npip
|
|
install agentops\\n```\\n\\n```python python\\n#Import Dependencies\\nimport
|
|
agentops\\nimport os\\nfrom getpass import getpass\\nfrom dotenv import load_dotenv\\n\\n#Set
|
|
Keys\\nload_dotenv()\\nopenai_api_key = os.getenv(\\\"OPENAI_API_KEY\\\")
|
|
or \\\"<your openai key here>\\\"\\nagentops_api_key = os.getenv(\\\"AGENTOPS_API_KEY\\\")
|
|
or \\\"<your agentops key here>\\\"\\n\\n\\n\\n```\\n</details>\\n\\n[You
|
|
can find usage examples here!](examples/camelai_examples/README.md).\\n\\n\\n\\n###
|
|
LiteLLM \U0001F685\\n\\nAgentOps provides support for LiteLLM(>=1.3.1), allowing
|
|
you to call 100+ LLMs using the same Input/Output Format. \\n\\n- [AgentOps
|
|
integration example](https://docs.agentops.ai/v1/integrations/litellm)\\n-
|
|
[Official LiteLLM documentation](https://docs.litellm.ai/docs/providers)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```bash\\npip install litellm\\n```\\n\\n```python
|
|
python\\n# Do not use LiteLLM like this\\n# from litellm import completion\\n#
|
|
...\\n# response = completion(model=\\\"claude-3\\\", messages=messages)\\n\\n#
|
|
Use LiteLLM like this\\nimport litellm\\n...\\nresponse = litellm.completion(model=\\\"claude-3\\\",
|
|
messages=messages)\\n# or\\nresponse = await litellm.acompletion(model=\\\"claude-3\\\",
|
|
messages=messages)\\n```\\n</details>\\n\\n### LlamaIndex \U0001F999\\n\\n\\nAgentOps
|
|
works seamlessly with applications built using LlamaIndex, a framework for
|
|
building context-augmented generative AI applications with LLMs.\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n \\n```shell\\npip install llama-index-instrumentation-agentops\\n```\\n\\nTo
|
|
use the handler, import and set\\n\\n```python\\nfrom llama_index.core import
|
|
set_global_handler\\n\\n# NOTE: Feel free to set your AgentOps environment
|
|
variables (e.g., 'AGENTOPS_API_KEY')\\n# as outlined in the AgentOps documentation,
|
|
or pass the equivalent keyword arguments\\n# anticipated by AgentOps' AOClient
|
|
as **eval_params in set_global_handler.\\n\\nset_global_handler(\\\"agentops\\\")\\n```\\n\\nCheck
|
|
out the [LlamaIndex docs](https://docs.llamaindex.ai/en/stable/module_guides/observability/?h=agentops#agentops)
|
|
for more details.\\n\\n</details>\\n\\n### Llama Stack \U0001F999\U0001F95E\\n\\nAgentOps
|
|
provides support for Llama Stack Python Client(>=0.0.53), allowing you to
|
|
monitor your Agentic applications. \\n\\n- [AgentOps integration example 1](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-fdddf65549f3714f8f007ce7dfd1cde720329fe54155d54389dd50fbd81813cb)\\n-
|
|
[AgentOps integration example 2](https://github.com/AgentOps-AI/agentops/pull/530/files/65a5ab4fdcf310326f191d4b870d4f553591e3ea#diff-6688ff4fb7ab1ce7b1cc9b8362ca27264a3060c16737fb1d850305787a6e3699)\\n-
|
|
[Official Llama Stack Python Client](https://github.com/meta-llama/llama-stack-client-python)\\n\\n###
|
|
SwarmZero AI \U0001F41D\\n\\nTrack and analyze SwarmZero agents with full
|
|
observability. Set an `AGENTOPS_API_KEY` in your environment and initialize
|
|
AgentOps to get started.\\n\\n- [SwarmZero](https://swarmzero.ai) - Advanced
|
|
multi-agent framework\\n- [AgentOps integration example](https://docs.agentops.ai/v1/integrations/swarmzero)\\n-
|
|
[SwarmZero AI integration example](https://docs.swarmzero.ai/examples/ai-agents/build-and-monitor-a-web-search-agent)\\n-
|
|
[SwarmZero AI - AgentOps documentation](https://docs.swarmzero.ai/sdk/observability/agentops)\\n-
|
|
[Official SwarmZero Python SDK](https://github.com/swarmzero/swarmzero)\\n\\n<details>\\n
|
|
\ <summary>Installation</summary>\\n\\n```bash\\npip install swarmzero\\npip
|
|
install agentops\\n```\\n\\n```python\\nfrom dotenv import load_dotenv\\nload_dotenv()\\n\\nimport
|
|
agentops\\nagentops.init(<INSERT YOUR API KEY HERE>)\\n\\nfrom swarmzero import
|
|
Agent, Swarm\\n# ...\\n```\\n</details>\\n\\n## Time travel debugging \U0001F52E\\n\\n<div
|
|
style=\\\"justify-content: center\\\">\\n <img src=\\\"docs/images/external/app_screenshots/time_travel_banner.png\\\"
|
|
alt=\\\"Time Travel Banner\\\">\\n</div>\\n\\n<br />\\n\\n[Try it out!](https://app.agentops.ai/timetravel)\\n\\n##
|
|
Agent Arena \U0001F94A\\n\\n(coming soon!)\\n\\n## Evaluations Roadmap \U0001F9ED\\n\\n|
|
|
Platform |
|
|
Dashboard | Evals |\\n|
|
|
----------------------------------------------------------------------------
|
|
| ------------------------------------------ | --------------------------------------
|
|
|\\n| \u2705 Python SDK |
|
|
\u2705 Multi-session and Cross-session metrics | \u2705 Custom eval metrics
|
|
\ |\\n| \U0001F6A7 Evaluation builder API |
|
|
\u2705 Custom event tag tracking\_ | \U0001F51C Agent scorecards
|
|
\ |\\n| \u2705 [Javascript/Typescript SDK](https://github.com/AgentOps-AI/agentops-node)
|
|
| \u2705 Session replays | \U0001F51C Evaluation playground
|
|
+ leaderboard |\\n\\n## Debugging Roadmap \U0001F9ED\\n\\n| Performance testing
|
|
\ | Environments |
|
|
LLM Testing | Reasoning and execution testing
|
|
\ |\\n| ----------------------------------------- | -----------------------------------------------------------------------------------
|
|
| ------------------------------------------- | -------------------------------------------------
|
|
|\\n| \u2705 Event latency analysis | \U0001F51C Non-stationary
|
|
environment testing | \U0001F51C
|
|
LLM non-deterministic function detection | \U0001F6A7 Infinite loops and recursive
|
|
thought detection |\\n| \u2705 Agent workflow execution pricing | \U0001F51C
|
|
Multi-modal environments |
|
|
\U0001F6A7 Token limit overflow flags | \U0001F51C Faulty reasoning
|
|
detection |\\n| \U0001F6A7 Success validators (external)
|
|
\ | \U0001F51C Execution containers |
|
|
\U0001F51C Context limit overflow flags | \U0001F51C Generative
|
|
code validators |\\n| \U0001F51C Agent controllers/skill
|
|
tests | \u2705 Honeypot and prompt injection detection ([PromptArmor](https://promptarmor.com))
|
|
| \U0001F51C API bill tracking | \U0001F51C Error breakpoint
|
|
analysis |\\n| \U0001F51C Information context constraint
|
|
testing | \U0001F51C Anti-agent roadblocks (i.e. Captchas) |
|
|
\U0001F51C CI/CD integration checks | |\\n|
|
|
\U0001F51C Regression testing | \U0001F51C Multi-agent
|
|
framework visualization | |
|
|
\ |\\n\\n### Why AgentOps?
|
|
\U0001F914\\n\\nWithout the right tools, AI agents are slow, expensive, and
|
|
unreliable. Our mission is to bring your agent from prototype to production.
|
|
Here's why AgentOps stands out:\\n\\n- **Comprehensive Observability**: Track
|
|
your AI agents' performance, user interactions, and API usage.\\n- **Real-Time
|
|
Monitoring**: Get instant insights with session replays, metrics, and live
|
|
monitoring tools.\\n- **Cost Control**: Monitor and manage your spend on LLM
|
|
and API calls.\\n- **Failure Detection**: Quickly identify and respond to
|
|
agent failures and multi-agent interaction issues.\\n- **Tool Usage Statistics**:
|
|
Understand how your agents utilize external tools with detailed analytics.\\n-
|
|
**Session-Wide Metrics**: Gain a holistic view of your agents' sessions with
|
|
comprehensive statistics.\\n\\nAgentOps is designed to make agent observability,
|
|
testing, and monitoring easy.\\n\\n\\n## Star History\\n\\nCheck out our growth
|
|
in the community:\\n\\n<img src=\\\"https://api.star-history.com/svg?repos=AgentOps-AI/agentops&type=Date\\\"
|
|
style=\\\"max-width: 500px\\\" width=\\\"50%\\\" alt=\\\"Logo\\\">\\n\\n##
|
|
Popular projects using AgentOps\\n\\n\\n| Repository | Stars |\\n| :--------
|
|
\ | -----: |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/2707039?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [geekan](https://github.com/geekan)
|
|
/ [MetaGPT](https://github.com/geekan/MetaGPT) | 42787 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/130722866?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [run-llama](https://github.com/run-llama)
|
|
/ [llama_index](https://github.com/run-llama/llama_index) | 34446 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/170677839?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [crewAIInc](https://github.com/crewAIInc)
|
|
/ [crewAI](https://github.com/crewAIInc/crewAI) | 18287 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/134388954?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [camel-ai](https://github.com/camel-ai)
|
|
/ [camel](https://github.com/camel-ai/camel) | 5166 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/152537519?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [superagent-ai](https://github.com/superagent-ai)
|
|
/ [superagent](https://github.com/superagent-ai/superagent) | 5050 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/30197649?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [iyaja](https://github.com/iyaja)
|
|
/ [llama-fs](https://github.com/iyaja/llama-fs) | 4713 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/162546372?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [BasedHardware](https://github.com/BasedHardware)
|
|
/ [Omi](https://github.com/BasedHardware/Omi) | 2723 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/454862?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [MervinPraison](https://github.com/MervinPraison)
|
|
/ [PraisonAI](https://github.com/MervinPraison/PraisonAI) | 2007 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/140554352?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [AgentOps-AI](https://github.com/AgentOps-AI)
|
|
/ [Jaiqu](https://github.com/AgentOps-AI/Jaiqu) | 272 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/173542722?s=48&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [swarmzero](https://github.com/swarmzero)
|
|
/ [swarmzero](https://github.com/swarmzero/swarmzero) | 195 |\\n|<img class=\\\"avatar
|
|
mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/3074263?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [strnad](https://github.com/strnad)
|
|
/ [CrewAI-Studio](https://github.com/strnad/CrewAI-Studio) | 134 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/18406448?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [alejandro-ao](https://github.com/alejandro-ao)
|
|
/ [exa-crewai](https://github.com/alejandro-ao/exa-crewai) | 55 |\\n|<img
|
|
class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/64493665?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [tonykipkemboi](https://github.com/tonykipkemboi)
|
|
/ [youtube_yapper_trapper](https://github.com/tonykipkemboi/youtube_yapper_trapper)
|
|
| 47 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/17598928?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [sethcoast](https://github.com/sethcoast)
|
|
/ [cover-letter-builder](https://github.com/sethcoast/cover-letter-builder)
|
|
| 27 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/109994880?s=40&v=4\\\"
|
|
width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [bhancockio](https://github.com/bhancockio)
|
|
/ [chatgpt4o-analysis](https://github.com/bhancockio/chatgpt4o-analysis) |
|
|
19 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/14105911?s=40&v=4\\\"
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width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [breakstring](https://github.com/breakstring)
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/ [Agentic_Story_Book_Workflow](https://github.com/breakstring/Agentic_Story_Book_Workflow)
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| 14 |\\n|<img class=\\\"avatar mr-2\\\" src=\\\"https://avatars.githubusercontent.com/u/124134656?s=40&v=4\\\"
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width=\\\"20\\\" height=\\\"20\\\" alt=\\\"\\\"> [MULTI-ON](https://github.com/MULTI-ON)
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/ [multion-python](https://github.com/MULTI-ON/multion-python) | 13 |\\n\\n\\n_Generated
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