summaryrefslogtreecommitdiff
path: root/lib/plugins/gpt.ex
blob: 8ee8c10fa269a55a6f98dec86ab7a7990fd8456d (plain) (blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
defmodule Nola.Plugins.Gpt do
  require Logger
  import Nola.Plugins.TempRefHelper

  def irc_doc() do
    """
    # OpenAI GPT

    Uses OpenAI's GPT-3 API to bring natural language prompts to your IRC channel.

    _prompts_ are pre-defined prompts and parameters defined in the bot' CouchDB.

    _Runs_ (results of the inference of a _prompt_) are also stored in CouchDB and
    may be resumed.

    * **!gpt** list GPT prompts
    * **!gpt `[prompt]` `<prompt or args>`** run a prompt
    * **+gpt `[short ref|run id]` `<prompt or args>`** continue a prompt
    * **?gpt offensive `<content>`** is content offensive ?
    * **?gpt show `[short ref|run id]`** run information and web link
    * **?gpt `[prompt]`** prompt information and web link
    """
  end

  @couch_db "bot-plugin-openai-prompts"
  @couch_run_db "bot-plugin-gpt-history"
  @trigger "gpt"

  def start_link() do
    GenServer.start_link(__MODULE__, [], name: __MODULE__)
  end

  defstruct [:temprefs]

  def get_result(id) do
    Couch.get(@couch_run_db, id)
  end

  def get_prompt(id) do
    Couch.get(@couch_db, id)
  end

  def init(_) do
    regopts = [plugin: __MODULE__]
    {:ok, _} = Registry.register(Nola.PubSub, "trigger:#{@trigger}", regopts)
    {:ok, %__MODULE__{temprefs: new_temp_refs()}}
  end

  def handle_info({:irc, :trigger, @trigger, m = %Nola.Message{trigger: %Nola.Trigger{type: :bang, args: [prompt | args]}}}, state) do
    case Couch.get(@couch_db, prompt) do
      {:ok, prompt} -> {:noreply, prompt(m, prompt, Enum.join(args, " "), state)}
      {:error, :not_found} ->
        m.replyfun.("gpt: prompt '#{prompt}' does not exists")
        {:noreply, state}
      error ->
        Logger.info("gpt: prompt load error: #{inspect error}")
        m.replyfun.("gpt: database error")
        {:noreply, state}
    end
  end

  def handle_info({:irc, :trigger, @trigger, m = %Nola.Message{trigger: %Nola.Trigger{type: :bang, args: []}}}, state) do
    case Couch.get(@couch_db, "_all_docs") do
      {:ok, %{"rows" => []}} -> m.replyfun.("gpt: no prompts available")
      {:ok, %{"rows" => prompts}} ->
        prompts = prompts |> Enum.map(fn(prompt) -> Map.get(prompt, "id") end) |> Enum.join(", ")
        m.replyfun.("gpt: prompts: #{prompts}")
      error ->
        Logger.info("gpt: prompt load error: #{inspect error}")
        m.replyfun.("gpt: database error")
    end
    {:noreply, state}
  end

  def handle_info({:irc, :trigger, @trigger, m = %Nola.Message{trigger: %Nola.Trigger{type: :plus, args: [ref_or_id | args]}}}, state) do
    id = lookup_temp_ref(ref_or_id, state.temprefs, ref_or_id)
    case Couch.get(@couch_run_db, id) do
      {:ok, run} ->
        Logger.debug("+gpt run: #{inspect run}")
        {:noreply, continue_prompt(m, run, Enum.join(args, " "), state)}
      {:error, :not_found} ->
        m.replyfun.("gpt: ref or id not found or expired: #{inspect ref_or_id} (if using short ref, try using full id)")
        {:noreply, state}
      error ->
        Logger.info("+gpt: run load error: #{inspect error}")
        m.replyfun.("gpt: database error")
        {:noreply, state}
    end
  end

  def handle_info({:irc, :trigger, @trigger, m = %Nola.Message{trigger: %Nola.Trigger{type: :query, args: ["offensive" | text]}}}, state) do
    text = Enum.join(text, " ")
    {moderate?, moderation} = moderation(text, m.account.id)
    reply = cond do
      moderate? -> "⚠️ #{Enum.join(moderation, ", ")}"
      !moderate? && moderation -> "👍"
      !moderate? -> "☠️ error"
    end
    m.replyfun.(reply)
    {:noreply, state}
  end

  def handle_info({:irc, :trigger, @trigger, m = %Nola.Message{trigger: %Nola.Trigger{type: :query, args: ["show", ref_or_id]}}}, state) do
    id = lookup_temp_ref(ref_or_id, state.temprefs, ref_or_id)
    url = if m.channel do
      NolaWeb.Router.Helpers.gpt_url(NolaWeb.Endpoint, :result, m.network, NolaWeb.format_chan(m.channel), id)
    else
      NolaWeb.Router.Helpers.gpt_url(NolaWeb.Endpoint, :result, id)
    end
    m.replyfun.("→ #{url}")
    {:noreply, state}
  end

  def handle_info({:irc, :trigger, @trigger, m = %Nola.Message{trigger: %Nola.Trigger{type: :query, args: [prompt]}}}, state) do
    url = if m.channel do
      NolaWeb.Router.Helpers.gpt_url(NolaWeb.Endpoint, :prompt, m.network, NolaWeb.format_chan(m.channel), prompt)
    else
      NolaWeb.Router.Helpers.gpt_url(NolaWeb.Endpoint, :prompt, prompt)
    end
    m.replyfun.("→ #{url}")
    {:noreply, state}
  end

  def handle_info(info, state) do
    Logger.debug("gpt: unhandled info: #{inspect info}")
    {:noreply, state}
  end

  defp continue_prompt(msg, run, content, state) do
    prompt_id = Map.get(run, "prompt_id")
    prompt_rev = Map.get(run, "prompt_rev")

    original_prompt = case Couch.get(@couch_db, prompt_id, rev: prompt_rev) do
      {:ok, prompt} -> prompt
      _ -> nil
    end

    if original_prompt do
      continue_prompt = %{"_id" => prompt_id,
             "_rev" => prompt_rev,
             "type" => Map.get(original_prompt, "type"),
             "parent_run_id" => Map.get(run, "_id"),
             "openai_params" => Map.get(run, "request") |> Map.delete("prompt")}

      continue_prompt = case original_prompt do
        %{"continue_prompt" => prompt_string} when is_binary(prompt_string) ->
          full_text = get_in(run, ~w(request prompt)) <> "\n" <> Map.get(run, "response")
          continue_prompt
          |> Map.put("prompt", prompt_string)
          |> Map.put("prompt_format", "liquid")
          |> Map.put("prompt_liquid_variables", %{"previous" => full_text})
        %{"messages" => _} ->
          continue_prompt
          |> Map.put("prompt", "{{content}}")
          |> Map.put("prompt_format", "liquid")
          |> Map.put("messages", Map.get(run, "messages"))
        _ ->
        prompt_content_tag = if content != "", do: " {{content}}", else: ""
        string = get_in(run, ~w(request prompt)) <> "\n" <> Map.get(run, "response") <> prompt_content_tag
        continue_prompt
        |> Map.put("prompt", string)
        |> Map.put("prompt_format", "liquid")
      end

      prompt(msg, continue_prompt, content, state)
    else
      msg.replyfun.("gpt: cannot continue this prompt: original prompt not found #{prompt_id}@v#{prompt_rev}")
      state
    end
  end

  # Chat prompt
  # "prompt" is the template for the initial user message
  # "messages" is original messages to be put before the initial user one
  defp prompt(msg, prompt = %{"type" => "chat", "prompt" => prompt_template, "messages" => messages}, content, state) do
    Logger.debug("gpt_plugin:prompt/4 (chat) #{inspect prompt}")
    prompt_text = case Map.get(prompt, "prompt_format", "liquid") do
      "liquid" -> Tmpl.render(prompt_template, msg, Map.merge(Map.get(prompt, "prompt_liquid_variables", %{}), %{"content" => content}))
      "norender" -> prompt_template
    end

    messages = Enum.map(messages, fn(%{"role" => role, "content" => text}) ->
      text = case Map.get(prompt, "prompt_format", "liquid") do
        "liquid" -> Tmpl.render(text, msg, Map.get(prompt, "prompt_liquid_variables", %{}))
        "norender" -> text
      end
      %{"role" => role, "content" => text}
    end) ++ [%{"role" => "user", "content" => prompt_text}]

    args = Map.get(prompt, "openai_params")
    |> Map.put_new("model", "gpt-3.5-turbo")
    |> Map.put("messages", messages)
    |> Map.put("user", msg.account.id)

    {moderate?, moderation} = moderation(content, msg.account.id)
    if moderate?, do: msg.replyfun.("⚠️ offensive input: #{Enum.join(moderation, ", ")}")

    Logger.debug("GPT: request #{inspect args}")
    case OpenAi.post("/v1/chat/completions", args) do
      {:ok, %{"choices" => [%{"message" => %{"content" => text}, "finish_reason" => finish_reason} | _], "usage" => usage, "id" => gpt_id, "created" => created}} ->
        text = String.trim(text)
        {o_moderate?, o_moderation} = moderation(text, msg.account.id)
        if o_moderate?, do: msg.replyfun.("🚨 offensive output: #{Enum.join(o_moderation, ", ")}")
        msg.replyfun.(text)
        doc = %{"id" => FlakeId.get(),
                "prompt_id" => Map.get(prompt, "_id"),
                "prompt_rev" => Map.get(prompt, "_rev"),
                "network" => msg.network,
                "channel" => msg.channel,
                "nick" => msg.sender.nick,
                "account_id" => (if msg.account, do: msg.account.id),
                "request" => args,
                "messages" => messages ++ [%{"role" => "assistant", "content" => text}],
                "message_at" => msg.at,
                "reply_at" => DateTime.utc_now(),
                "gpt_id" => gpt_id,
                "gpt_at" => created,
                "gpt_usage" => usage,
                "type" => "chat",
                "parent_run_id" => Map.get(prompt, "parent_run_id"),
                "moderation" => %{"input" => %{flagged: moderate?, categories: moderation},
                                  "output" => %{flagged: o_moderate?, categories: o_moderation}
                }
        }
        Logger.debug("Saving result to couch: #{inspect doc}")
        {id, ref, temprefs} = case Couch.post(@couch_run_db, doc) do
          {:ok, id, _rev} ->
            {ref, temprefs} = put_temp_ref(id, state.temprefs)
            {id, ref, temprefs}
          error ->
            Logger.error("Failed to save to Couch: #{inspect error}")
            {nil, nil, state.temprefs}
        end
        stop = cond do
          finish_reason == "stop" -> ""
          finish_reason == "length" -> " — truncated"
          true -> " — #{finish_reason}"
        end
        ref_and_prefix = if Map.get(usage, "completion_tokens", 0) == 0 do
          "GPT had nothing else to say :( ↪ #{ref || "✗"}"
        else
          "   ↪ #{ref || "✗"}"
        end
        msg.replyfun.(ref_and_prefix <>
           stop <>
           " — #{Map.get(usage, "total_tokens", 0)}" <>
           " (#{Map.get(usage, "prompt_tokens", 0)}/#{Map.get(usage, "completion_tokens", 0)}) tokens" <>
           " — #{id || "save failed"}")
        %__MODULE__{state | temprefs: temprefs}
      {:error, atom} when is_atom(atom) ->
        Logger.error("gpt error: #{inspect atom}")
        msg.replyfun.("gpt: ☠️  #{to_string(atom)}")
        state
      error ->
        Logger.error("gpt error: #{inspect error}")
        msg.replyfun.("gpt: ☠️ ")
        state
    end
  end


  defp prompt(msg, prompt = %{"type" => "completions", "prompt" => prompt_template}, content, state) do
    Logger.debug("gpt:prompt/4 #{inspect prompt}")
    prompt_text = case Map.get(prompt, "prompt_format", "liquid") do
      "liquid" -> Tmpl.render(prompt_template, msg, Map.merge(Map.get(prompt, "prompt_liquid_variables", %{}), %{"content" => content}))
      "norender" -> prompt_template
    end

    args = Map.get(prompt, "openai_params")
    |> Map.put("prompt", prompt_text)
    |> Map.put("user", msg.account.id)

    {moderate?, moderation} = moderation(content, msg.account.id)
    if moderate?, do: msg.replyfun.("⚠️ offensive input: #{Enum.join(moderation, ", ")}")

    Logger.debug("GPT: request #{inspect args}")
    case OpenAi.post("/v1/completions", args) do
      {:ok, %{"choices" => [%{"text" => text, "finish_reason" => finish_reason} | _], "usage" => usage, "id" => gpt_id, "created" => created}} ->
        text = String.trim(text)
        {o_moderate?, o_moderation} = moderation(text, msg.account.id)
        if o_moderate?, do: msg.replyfun.("🚨 offensive output: #{Enum.join(o_moderation, ", ")}")
        msg.replyfun.(text)
        doc = %{"id" => FlakeId.get(),
                "prompt_id" => Map.get(prompt, "_id"),
                "prompt_rev" => Map.get(prompt, "_rev"),
                "network" => msg.network,
                "channel" => msg.channel,
                "nick" => msg.sender.nick,
                "account_id" => (if msg.account, do: msg.account.id),
                "request" => args,
                "response" => text,
                "message_at" => msg.at,
                "reply_at" => DateTime.utc_now(),
                "gpt_id" => gpt_id,
                "gpt_at" => created,
                "gpt_usage" => usage,
                "type" => "completions",
                "parent_run_id" => Map.get(prompt, "parent_run_id"),
                "moderation" => %{"input" => %{flagged: moderate?, categories: moderation},
                                  "output" => %{flagged: o_moderate?, categories: o_moderation}
                }
        }
        Logger.debug("Saving result to couch: #{inspect doc}")
        {id, ref, temprefs} = case Couch.post(@couch_run_db, doc) do
          {:ok, id, _rev} ->
            {ref, temprefs} = put_temp_ref(id, state.temprefs)
            {id, ref, temprefs}
          error ->
            Logger.error("Failed to save to Couch: #{inspect error}")
            {nil, nil, state.temprefs}
        end
        stop = cond do
          finish_reason == "stop" -> ""
          finish_reason == "length" -> " — truncated"
          true -> " — #{finish_reason}"
        end
        ref_and_prefix = if Map.get(usage, "completion_tokens", 0) == 0 do
          "GPT had nothing else to say :( ↪ #{ref || "✗"}"
        else
          "   ↪ #{ref || "✗"}"
        end
        msg.replyfun.(ref_and_prefix <>
           stop <>
           " — #{Map.get(usage, "total_tokens", 0)}" <>
           " (#{Map.get(usage, "prompt_tokens", 0)}/#{Map.get(usage, "completion_tokens", 0)}) tokens" <>
           " — #{id || "save failed"}")
        %__MODULE__{state | temprefs: temprefs}
      {:error, atom} when is_atom(atom) ->
        Logger.error("gpt error: #{inspect atom}")
        msg.replyfun.("gpt: ☠️  #{to_string(atom)}")
        state
      error ->
        Logger.error("gpt error: #{inspect error}")
        msg.replyfun.("gpt: ☠️ ")
        state
    end
  end

  defp moderation(content, user_id) do
    case OpenAi.post("/v1/moderations", %{"input" => content, "user" => user_id}) do
      {:ok, %{"results" => [%{"flagged" => true, "categories" => categories} | _]}} ->
        cat = categories
        |> Enum.filter(fn({_key, value}) -> value end)
        |> Enum.map(fn({key, _}) -> key end)
        {true, cat}
      {:ok, moderation} ->
        Logger.debug("gpt: moderation: not flagged, #{inspect moderation}")
        {false, true}
      error ->
        Logger.error("gpt: moderation error: #{inspect error}")
        {false, false}
    end
  end

end