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251fe73a9267-1 | # Agent run with tracing using a chat model
agent = initialize_agent(
tools, ChatOpenAI(temperature=0), agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
)
agent.run("What is 2 raised to .123243 power?")
> Entering new AgentExecutor chain...
Question: What is 2 raised to .123243 power?
Thought: I need a calculator to solve this problem.
Action:
```
{
"action": "calculator",
"action_input": "2^0.123243"
}
```
Observation: calculator is not a valid tool, try another one.
I made a mistake, I need to use the correct tool for this question.
Action:
```
{
"action": "calculator",
"action_input": "2^0.123243"
}
```
Observation: calculator is not a valid tool, try another one.
I made a mistake, the tool name is actually "calc" instead of "calculator".
Action:
```
{
"action": "calc",
"action_input": "2^0.123243"
}
```
Observation: calc is not a valid tool, try another one.
I made another mistake, the tool name is actually "Calculator" instead of "calc".
Action:
```
{
"action": "Calculator",
"action_input": "2^0.123243"
}
```
Observation: Answer: 1.0891804557407723
Thought:The final answer is 1.0891804557407723.
Final Answer: 1.0891804557407723
> Finished chain.
'1.0891804557407723'
By Harrison Chase | {
"url": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"
} |
251fe73a9267-2 | '1.0891804557407723'
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 08, 2023. | {
"url": "https://python.langchain.com/en/latest/tracing/agent_with_tracing.html"
} |
155eba2b3c0a-0 | .md
.pdf
Locally Hosted Setup
Contents
Installation
Environment Setup
Locally Hosted Setup#
This page contains instructions for installing and then setting up the environment to use the locally hosted version of tracing.
Installation#
Ensure you have Docker installed (see Get Docker) and that it’s running.
Install the latest version of langchain: pip install langchain or pip install langchain -U to upgrade your
existing version.
Run langchain-server. This command was installed automatically when you ran the above command (pip install langchain).
This will spin up the server in the terminal, hosted on port 4137 by default.
Once you see the terminal
output langchain-langchain-frontend-1 | ➜ Local: [http://localhost:4173/](http://localhost:4173/), navigate
to http://localhost:4173/
You should see a page with your tracing sessions. See the overview page for a walkthrough of the UI.
Currently, trace data is not guaranteed to be persisted between runs of langchain-server. If you want to
persist your data, you can mount a volume to the Docker container. See the Docker docs for more info.
To stop the server, press Ctrl+C in the terminal where you ran langchain-server.
Environment Setup#
After installation, you must now set up your environment to use tracing.
This can be done by setting an environment variable in your terminal by running export LANGCHAIN_HANDLER=langchain.
You can also do this by adding the below snippet to the top of every script. IMPORTANT: this must go at the VERY TOP of your script, before you import anything from langchain.
import os
os.environ["LANGCHAIN_HANDLER"] = "langchain"
Contents
Installation
Environment Setup
By Harrison Chase
© Copyright 2023, Harrison Chase. | {
"url": "https://python.langchain.com/en/latest/tracing/local_installation.html"
} |
155eba2b3c0a-1 | By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 08, 2023. | {
"url": "https://python.langchain.com/en/latest/tracing/local_installation.html"
} |
904e4182b649-0 | .md
.pdf
Cloud Hosted Setup
Contents
Installation
Environment Setup
Cloud Hosted Setup#
We offer a hosted version of tracing at langchainplus.vercel.app. You can use this to view traces from your run without having to run the server locally.
Note: we are currently only offering this to a limited number of users. The hosted platform is VERY alpha, in active development, and data might be dropped at any time. Don’t depend on data being persisted in the system long term and don’t log traces that may contain sensitive information. If you’re interested in using the hosted platform, please fill out the form here.
Installation#
Login to the system and click “API Key” in the top right corner. Generate a new key and keep it safe. You will need it to authenticate with the system.
Environment Setup#
After installation, you must now set up your environment to use tracing.
This can be done by setting an environment variable in your terminal by running export LANGCHAIN_HANDLER=langchain.
You can also do this by adding the below snippet to the top of every script. IMPORTANT: this must go at the VERY TOP of your script, before you import anything from langchain.
import os
os.environ["LANGCHAIN_HANDLER"] = "langchain"
You will also need to set an environment variable to specify the endpoint and your API key. This can be done with the following environment variables:
LANGCHAIN_ENDPOINT = “https://langchain-api-gateway-57eoxz8z.uc.gateway.dev”
LANGCHAIN_API_KEY - set this to the API key you generated during installation.
An example of adding all relevant environment variables is below:
import os
os.environ["LANGCHAIN_HANDLER"] = "langchain"
os.environ["LANGCHAIN_ENDPOINT"] = "https://langchain-api-gateway-57eoxz8z.uc.gateway.dev" | {
"url": "https://python.langchain.com/en/latest/tracing/hosted_installation.html"
} |
904e4182b649-1 | os.environ["LANGCHAIN_API_KEY"] = "my_api_key" # Don't commit this to your repo! Better to set it in your terminal.
Contents
Installation
Environment Setup
By Harrison Chase
© Copyright 2023, Harrison Chase.
Last updated on Apr 08, 2023. | {
"url": "https://python.langchain.com/en/latest/tracing/hosted_installation.html"
} |
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