pip install"camel-ai[all]==0.2.11"pip install agentops

importosimportagentopsfromcamel.agentsimportChatAgentfromcamel.messagesimportBaseMessagefromcamel.modelsimportModelFactoryfromcamel.typesimportModelPlatformType,ModelType# Initialize AgentOpsagentops.init(os.getenv("AGENTOPS_API_KEY"),tags=["CAMEL Example"])# Import toolkits after AgentOps init for trackingfromcamel.toolkitsimportSearchToolkit# Set up the agent with search toolssys_msg=BaseMessage.make_assistant_message(role_name='Tools calling operator',content='You are a helpful assistant')# Configure tools and modeltools= [*SearchToolkit().get_tools()]model=ModelFactory.create(model_platform=ModelPlatformType.OPENAI,model_type=ModelType.GPT_4O_MINI,)# Create and run the agentcamel_agent=ChatAgent(system_message=sys_msg,model=model,tools=tools,)response=camel_agent.step("What is AgentOps?")print(response)agentops.end_session("Success")

pip install agentops[langchain]

importosfromlangchain.chat_modelsimportChatOpenAIfromlangchain.agentsimportinitialize_agent,AgentTypefromagentops.partners.langchain_callback_handlerimportLangchainCallbackHandlerAGENTOPS_API_KEY=os.environ['AGENTOPS_API_KEY']handler=LangchainCallbackHandler(api_key=AGENTOPS_API_KEY,tags=['Langchain Example'])llm=ChatOpenAI(openai_api_key=OPENAI_API_KEY,callbacks=[handler],model='gpt-3.5-turbo')agent=initialize_agent(tools,llm,agent=AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,verbose=True,callbacks=[handler],# You must pass in a callback handler to record your agenthandle_parsing_errors=True)

pip install cohere

importcohereimportagentops# Beginning of program's code (i.e. main.py, __init__.py)agentops.init(<INSERTYOURAPIKEYHERE>)co=cohere.Client()chat=co.chat(message="Is it pronounced ceaux-hear or co-hehray?")print(chat)agentops.end_session('Success')

importcohereimportagentops# Beginning of program's code (i.e. main.py, __init__.py)agentops.init(<INSERTYOURAPIKEYHERE>)co=cohere.Client()stream=co.chat_stream(message="Write me a haiku about the synergies between Cohere and AgentOps")foreventinstream:ifevent.event_type=="text-generation":print(event.text,end='')agentops.end_session('Success')

pip install anthropic

importanthropicimportagentops# Beginning of program's code (i.e. main.py, __init__.py)agentops.init(<INSERTYOURAPIKEYHERE>)client=anthropic.Anthropic(# This is the default and can be omittedapi_key=os.environ.get("ANTHROPIC_API_KEY"),)message=client.messages.create(max_tokens=1024,messages=[            {"role":"user","content":"Tell me a cool fact about AgentOps",            }        ],model="claude-3-opus-20240229",    )print(message.content)agentops.end_session('Success')

importanthropicimportagentops# Beginning of program's code (i.e. main.py, __init__.py)agentops.init(<INSERTYOURAPIKEYHERE>)client=anthropic.Anthropic(# This is the default and can be omittedapi_key=os.environ.get("ANTHROPIC_API_KEY"),)stream=client.messages.create(max_tokens=1024,model="claude-3-opus-20240229",messages=[        {"role":"user","content":"Tell me something cool about streaming agents",        }    ],stream=True,)response=""foreventinstream:ifevent.type=="content_block_delta":response+=event.delta.textelifevent.type=="message_stop":print("\n")print(response)print("\n")

importasynciofromanthropicimportAsyncAnthropicclient=AsyncAnthropic(# This is the default and can be omittedapi_key=os.environ.get("ANTHROPIC_API_KEY"),)asyncdefmain()->None:message=awaitclient.messages.create(max_tokens=1024,messages=[            {"role":"user","content":"Tell me something interesting about async agents",            }        ],model="claude-3-opus-20240229",    )print(message.content)awaitmain()

pip install mistralai

frommistralaiimportMistralimportagentops# Beginning of program's code (i.e. main.py, __init__.py)agentops.init(<INSERTYOURAPIKEYHERE>)client=Mistral(# This is the default and can be omittedapi_key=os.environ.get("MISTRAL_API_KEY"),)message=client.chat.complete(messages=[            {"role":"user","content":"Tell me a cool fact about AgentOps",            }        ],model="open-mistral-nemo",    )print(message.choices[0].message.content)agentops.end_session('Success')

frommistralaiimportMistralimportagentops# Beginning of program's code (i.e. main.py, __init__.py)agentops.init(<INSERTYOURAPIKEYHERE>)client=Mistral(# This is the default and can be omittedapi_key=os.environ.get("MISTRAL_API_KEY"),)message=client.chat.stream(messages=[            {"role":"user","content":"Tell me something cool about streaming agents",            }        ],model="open-mistral-nemo",    )response=""foreventinmessage:ifevent.data.choices[0].finish_reason=="stop":print("\n")print(response)print("\n")else:response+=event.textagentops.end_session('Success')

importasynciofrommistralaiimportMistralclient=Mistral(# This is the default and can be omittedapi_key=os.environ.get("MISTRAL_API_KEY"),)asyncdefmain()->None:message=awaitclient.chat.complete_async(messages=[            {"role":"user","content":"Tell me something interesting about async agents",            }        ],model="open-mistral-nemo",    )print(message.choices[0].message.content)awaitmain()

importasynciofrommistralaiimportMistralclient=Mistral(# This is the default and can be omittedapi_key=os.environ.get("MISTRAL_API_KEY"),)asyncdefmain()->None:message=awaitclient.chat.stream_async(messages=[            {"role":"user","content":"Tell me something interesting about async streaming agents",            }        ],model="open-mistral-nemo",    )response=""asyncforeventinmessage:ifevent.data.choices[0].finish_reason=="stop":print("\n")print(response)print("\n")else:response+=event.textawaitmain()

pip install camel-ai[all]pip install agentops

#Import Dependenciesimportagentopsimportosfromgetpassimportgetpassfromdotenvimportload_dotenv#Set Keysload_dotenv()openai_api_key=os.getenv("OPENAI_API_KEY")or"<your openai key here>"agentops_api_key=os.getenv("AGENTOPS_API_KEY")or"<your agentops key here>"

pip install litellm

# Do not use LiteLLM like this# from litellm import completion# ...# response = completion(model="claude-3", messages=messages)# Use LiteLLM like thisimportlitellm...response=litellm.completion(model="claude-3",messages=messages)# orresponse=awaitlitellm.acompletion(model="claude-3",messages=messages)

pip install llama-index-instrumentation-agentops

fromllama_index.coreimportset_global_handler# NOTE: Feel free to set your AgentOps environment variables (e.g., 'AGENTOPS_API_KEY')# as outlined in the AgentOps documentation, or pass the equivalent keyword arguments# anticipated by AgentOps' AOClient as **eval_params in set_global_handler.set_global_handler("agentops")

pip install swarmzeropip install agentops

fromdotenvimportload_dotenvload_dotenv()importagentopsagentops.init(<INSERTYOURAPIKEYHERE>)fromswarmzeroimportAgent,Swarm# ...