GptAgent is an Elixir-based service that provides a conversational agent interface using the OpenAI GPT models. It allows for the integration of GPT-powered conversations within various platforms and services.
If available in Hex, the package can be installed
by adding gpt_agent
to your list of dependencies in mix.exs
:
def deps do
[
{:gpt_agent, "~> 2.0"}
]
end
Documentation can be generated with ExDoc and published on HexDocs. Once published, the docs can be found at https://hexdocs.pm/gpt_agent.
To configure the GptAgent, you need to set the following environment variables
in your project's runtime config file (usually config/runtime.exs
):
config :open_ai_client, :base_url, System.get_env("OPENAI_BASE_URL") || "https://api.openai.com"
config :open_ai_client, :openai_api_key, System.get_env("OPENAI_API_KEY") || raise("OPENAI_API_KEY is not set")
config :open_ai_client, :openai_organization_id, System.get_env("OPENAI_ORGANIZATION_ID")
config :gpt_agent, :heartbeat_interval_ms, if(config_env() == :test, do: 1, else: 1000)
config :gpt_agent, :timeout_ms, get_env("GPT_AGENT_RECEIVE_TIMEOUT_MS", 120_000, :int)
# if this is set to a number larger than the `:timeout_ms` above, the above value will be used instead
config :gpt_agent, :receive_timeout_ms, get_env("GPT_AGENT_RECEIVE_TIMEOUT_MS", 30_000, :int)
Make sure you have the OPENAI_API_KEY
and (optionally) OPENAI_ORGANIZATION_ID
system environment variable set to the correct values for your API key and OpenAI
organization.
You can also configure the logger level in the config file:
config :gpt_agent, :log_level, :warning
This will set the logging level to :warning
, which is the recommended level
for production. You can change it to :debug
for more verbose logging during
development.
First, ensure the supervisor is running in your applications supervision tree. For example:
children = [
{GptAgent.Supervisor, []}
]
opts = [strategy: :one_for_one, name: MyApp.Supervisor]
Supervisor.start_link(children, opts)
Before you can start an agent, you need to have both a thread_id and an assistant_id from the OpenAI assistants API.
To create an example assistant, you can run OpenAiClient.post("/v1/assistants", json: GptAgent.Assistants.MemGpt.schema())
and note the id returned in the
request body.
OpenAiClient.post("/v1/assistants", json: GptAgent.Assistants.MemGpt.schema())
#=> {:ok, %Req.Response{ body: %{ "id" => "asst_1Ut1Wxnw0MQAF5G3qWcoMRIQ", ...}, ...}
You can create a new thread with:
{:ok, thread_id} = GptAgent.create_thread()
Then you can start the agent with:
{:ok, pid} = GptAgent.connect(thread_id: thread_id, assistant_id: assistant_id)`
This will start the agent process if one is not already running for the thread.
We use a process registry to ensure that there is only one agent process running
for a given thread_id. It will also use Phoenix.PubSub
to subscribe the
current process to messages published by the thread's process. Expect to receive
the following messages:
%GptAgent.Events.UserMessageAdded{}
: Triggered when a user message is added to the thread.%GptAgent.Events.RunStarted{}
: Indicates that a run has been started for the thread.%GptAgent.Events.ToolCallRequested{}
: Occurs when a tool call is requested.%GptAgent.Events.ToolCallOutputRecorded{}
: Recorded when the output of a tool call is captured.%GptAgent.Events.RunCompleted{}
: Signifies that a run has been completed.%GptAgent.Events.AssistantMessageAdded{}
: Triggered when an assistant message is added to the thread.
To add a user message to the thread and run it with the default assistant: :ok = GptAgent.add_user_message(pid, "Hello, world!")
You must at the very least monitor for the ToolCallRequested
events (if your
assistant uses tool calls), so that you can submit the results back to the run.
To submit the results, use GptAgent.submit_tool_output(pid, tool_call_id, tool_call_result_as_json)
.
The GptAgent processes will, by default, stay running for 2 minutes, after
which, if no additional activity has taken place, the process will shutdown
normally. If you would like to set a different timeout value, you can pass the
timeout_ms
option to GptAgent.connect/1
:
# Shut down the process if it has not received any activity within 200ms
{:ok, pid} = GptAgent.connect(thread_id: thread_id, assistant_id: assistant_id, timeout_ms: 200)
There is also a receive timeout value for the HTTP requests to OpenAI. This is
specified via the :receive_timeout_ms
configuration value in your application
config, however if the agent timeout is set to a smaller value, the agent
timeout will also be used as the receive timeout. This is to prevent situations
where the Agent will hang due to OpenAI taking too long to respond.