Files
bDS2/lib/bds/ai/chat.ex

957 lines
32 KiB
Elixir

defmodule BDS.AI.Chat do
@moduledoc false
import Ecto.Query
require Logger
alias BDS.AI
alias BDS.AI.Catalog
alias BDS.AI.CatalogProvider
alias BDS.AI.ChatConversation
alias BDS.AI.ChatMessage
alias BDS.AI.ChatTools
alias BDS.AI.InFlight
alias BDS.AI.OpenAICompatibleRuntime
alias BDS.AI.Runtime
alias BDS.AI.SecretBackend
alias BDS.MapUtils
import BDS.AI.SettingsStore, only: [get_setting: 1]
alias BDS.Media.Media
alias BDS.Persistence
alias BDS.Posts.Post
alias BDS.Projects.Project
alias BDS.Repo
@default_system_prompt "You are the bDS AI backend. Be precise, prefer structured JSON when asked, and avoid inventing blog facts."
@default_max_output_tokens 16_384
@title_max_output_tokens 256
@chat_title_max_length 30
@chat_max_tool_rounds 10
@default_context_window 128_000
@spec start_chat(map()) :: {:ok, map()} | {:error, Ecto.Changeset.t()}
def start_chat(attrs \\ %{}) when is_map(attrs) do
now = Persistence.now_ms()
model = MapUtils.attr(attrs, :model)
title = MapUtils.attr(attrs, :title) || generated_chat_title(model)
%ChatConversation{}
|> ChatConversation.changeset(%{
id: Ecto.UUID.generate(),
title: title,
model: model,
copilot_session_id: MapUtils.attr(attrs, :copilot_session_id),
created_at: now,
updated_at: now
})
|> Repo.insert()
|> case do
{:ok, conversation} -> {:ok, format_conversation(conversation)}
error -> error
end
end
@spec list_chat_conversations() :: [map()]
def list_chat_conversations do
Repo.all(from conversation in ChatConversation, order_by: [desc: conversation.updated_at])
|> Enum.map(&format_conversation/1)
end
@spec get_chat_conversation(String.t()) :: ChatConversation.t() | nil
def get_chat_conversation(conversation_id) when is_binary(conversation_id) do
Repo.get(ChatConversation, conversation_id)
end
@spec get_surface_state(String.t()) :: map()
def get_surface_state(conversation_id) when is_binary(conversation_id) do
case Repo.get(ChatConversation, conversation_id) do
%ChatConversation{surface_state: state} when is_map(state) -> state
_other -> %{}
end
end
@spec put_surface_state(String.t(), map(), map(), MapSet.t()) ::
{:ok, map()} | {:error, term()}
def put_surface_state(conversation_id, surface_data, surface_tabs, dismissed_surfaces)
when is_binary(conversation_id) do
case Repo.get(ChatConversation, conversation_id) do
nil ->
{:error, :not_found}
%ChatConversation{} = conversation ->
state = %{
"surface_data" => surface_data,
"surface_tabs" => surface_tabs,
"dismissed_surfaces" => MapSet.to_list(dismissed_surfaces)
}
conversation
|> ChatConversation.changeset(%{
surface_state: state,
updated_at: Persistence.now_ms()
})
|> Repo.update()
|> case do
{:ok, _updated} -> {:ok, state}
error -> error
end
end
end
@spec delete_chat_conversation(String.t()) :: {:ok, :deleted} | {:error, :not_found | term()}
def delete_chat_conversation(conversation_id) when is_binary(conversation_id) do
case Repo.get(ChatConversation, conversation_id) do
nil ->
{:error, :not_found}
%ChatConversation{} = conversation ->
Repo.delete_all(
from message in ChatMessage, where: message.conversation_id == ^conversation_id
)
case Repo.delete(conversation) do
{:ok, _conversation} -> {:ok, :deleted}
{:error, reason} -> {:error, reason}
end
end
end
@spec available_chat_models(String.t() | nil) :: [map()]
def available_chat_models(current_model \\ nil) do
endpoint_models = configured_chat_models()
preference_models =
[:chat, :airplane_chat]
|> Enum.flat_map(fn key ->
case AI.get_model_preference(key) do
{:ok, model} when is_binary(model) and model != "" -> [model]
_other -> []
end
end)
provider_names = catalog_provider_name_map()
endpoint_provider_map = Map.new(endpoint_models, &{&1.id, &1.provider})
[current_model | Enum.map(endpoint_models, & &1.id) ++ preference_models]
|> Enum.filter(&(is_binary(&1) and String.trim(&1) != ""))
|> Enum.uniq()
|> Enum.map(&build_available_chat_model(&1, endpoint_provider_map, provider_names))
|> Enum.sort_by(fn model ->
{
String.downcase(to_string(model.provider_name || model.provider || "")),
String.downcase(to_string(model.name || model.id))
}
end)
end
@spec effective_chat_model(ChatConversation.t() | map() | nil) :: String.t() | nil
def effective_chat_model(%ChatConversation{} = conversation) do
resolve_effective_chat_model(conversation.model)
end
def effective_chat_model(%{model: model}), do: resolve_effective_chat_model(model)
def effective_chat_model(%{"model" => model}), do: resolve_effective_chat_model(model)
def effective_chat_model(_conversation), do: resolve_effective_chat_model(nil)
@spec set_conversation_model(String.t(), String.t()) ::
{:ok, map()} | {:error, :not_found | Ecto.Changeset.t()}
def set_conversation_model(conversation_id, model_id)
when is_binary(conversation_id) and is_binary(model_id) do
case Repo.get(ChatConversation, conversation_id) do
nil ->
{:error, :not_found}
%ChatConversation{} = conversation ->
conversation
|> ChatConversation.changeset(%{model: model_id, updated_at: Persistence.now_ms()})
|> Repo.update()
|> case do
{:ok, updated_conversation} -> {:ok, format_conversation(updated_conversation)}
error -> error
end
end
end
@spec list_chat_messages(String.t()) :: [map()]
def list_chat_messages(conversation_id) when is_binary(conversation_id) do
Repo.all(
from message in ChatMessage,
where: message.conversation_id == ^conversation_id,
order_by: [asc: message.created_at, asc: message.id]
)
|> Enum.map(&format_chat_message/1)
end
@spec send_chat_message(String.t(), String.t(), keyword()) ::
{:ok, map()} | {:error, :not_found | term()}
def send_chat_message(conversation_id, content, opts \\ [])
when is_binary(conversation_id) and is_binary(content) and is_list(opts) do
with %ChatConversation{} = conversation <- Repo.get(ChatConversation, conversation_id),
{:ok, user_message} <-
persist_chat_message(%{
conversation_id: conversation.id,
role: :user,
content: content,
created_at: Persistence.now_ms()
}) do
task =
Task.Supervisor.async_nolink(BDS.Tasks.TaskSupervisor, fn ->
receive do
:sandbox_ready -> :ok
end
do_send_chat_message(conversation, user_message, opts)
end)
InFlight.register(conversation.id, task.pid)
:ok = allow_repo_sandbox(task.pid)
send(task.pid, :sandbox_ready)
try do
await_chat_task(task)
after
InFlight.unregister(conversation.id)
end
else
nil -> {:error, :not_found}
error -> error
end
end
@spec cancel_chat(String.t()) :: :ok
def cancel_chat(conversation_id) when is_binary(conversation_id) do
case InFlight.lookup(conversation_id) do
nil ->
:ok
pid ->
_ = Task.Supervisor.terminate_child(BDS.Tasks.TaskSupervisor, pid)
:ok
end
end
@doc false
def count_distinct_string_list(schema, field, project_id) do
Repo.all(
from record in schema,
where: field(record, :project_id) == ^project_id,
select: field(record, ^field)
)
|> List.flatten()
|> Enum.reject(&blank?/1)
|> MapSet.new()
|> MapSet.size()
end
@doc false
def normalize_usage(usage) when is_map(usage) do
%{
input_tokens: usage[:input_tokens] || usage["input_tokens"],
output_tokens: usage[:output_tokens] || usage["output_tokens"],
cache_read_tokens: usage[:cache_read_tokens] || usage["cache_read_tokens"],
cache_write_tokens: usage[:cache_write_tokens] || usage["cache_write_tokens"]
}
end
def normalize_usage(_usage) do
%{
input_tokens: nil,
output_tokens: nil,
cache_read_tokens: nil,
cache_write_tokens: nil
}
end
defp format_conversation(conversation) do
%{
id: conversation.id,
title: conversation.title,
model: conversation.model,
copilot_session_id: conversation.copilot_session_id,
created_at: conversation.created_at,
updated_at: conversation.updated_at
}
end
defp format_chat_message(message) do
%{
id: message.id,
conversation_id: message.conversation_id,
role: message.role,
content: message.content,
tool_call_id: message.tool_call_id,
tool_calls: Catalog.decode_nullable_json(message.tool_calls),
token_usage_input: message.token_usage_input,
token_usage_output: message.token_usage_output,
cache_read_tokens: message.cache_read_tokens,
cache_write_tokens: message.cache_write_tokens,
created_at: message.created_at
}
end
defp configured_chat_models do
[:online, :airplane]
|> Enum.flat_map(fn kind ->
case AI.get_endpoint(kind) do
{:ok, %{model: model, url: url}} when is_binary(model) and model != "" ->
[%{id: model, provider: infer_endpoint_provider(kind, url)}]
_other ->
[]
end
end)
end
defp build_available_chat_model(model_id, endpoint_provider_map, provider_names) do
case Catalog.get_catalog_model(model_id) do
{:ok, model} ->
provider = model.provider || Map.get(endpoint_provider_map, model_id, "other")
%{
id: model.model_id,
name: model.name || model.model_id,
provider: provider,
provider_name: Map.get(provider_names, provider, fallback_provider_name(provider)),
context_window: model.context_window,
max_output_tokens: model.max_output_tokens
}
{:error, :not_found} ->
provider = Map.get(endpoint_provider_map, model_id, "other")
%{
id: model_id,
name: model_id,
provider: provider,
provider_name: Map.get(provider_names, provider, fallback_provider_name(provider)),
context_window: nil,
max_output_tokens: nil
}
end
end
defp resolve_effective_chat_model(model) when is_binary(model) and model != "", do: model
defp resolve_effective_chat_model(_model) do
mode = if AI.airplane_mode?(), do: :airplane, else: :online
preference_key = if mode == :airplane, do: :airplane_chat, else: :chat
case Runtime.model_preference_value(preference_key) do
model when is_binary(model) and model != "" ->
model
_other ->
case AI.get_endpoint(mode) do
{:ok, %{model: model}} when is_binary(model) and model != "" -> model
_other -> nil
end
end
end
defp catalog_provider_name_map do
Repo.all(from provider in CatalogProvider, select: {provider.id, provider.name})
|> Map.new()
end
defp infer_endpoint_provider(:online, _url), do: "generic-openai"
defp infer_endpoint_provider(:airplane, url) when is_binary(url) do
normalized_url = String.downcase(url)
cond do
String.contains?(normalized_url, "11434") or String.contains?(normalized_url, "ollama") ->
"ollama"
String.contains?(normalized_url, "1234") or String.contains?(normalized_url, "lmstudio") ->
"lmstudio"
true ->
"generic-openai"
end
end
defp infer_endpoint_provider(:airplane, _url), do: "generic-openai"
defp fallback_provider_name("generic-openai"), do: "Generic OpenAI"
defp fallback_provider_name("lmstudio"), do: "LM Studio"
defp fallback_provider_name("mistral"), do: "Mistral"
defp fallback_provider_name("ollama"), do: "Ollama"
defp fallback_provider_name("openai"), do: "OpenAI"
defp fallback_provider_name(provider) when is_binary(provider) and provider != "" do
provider
|> String.split(["-", "_"], trim: true)
|> Enum.map(&String.capitalize/1)
|> Enum.join(" ")
end
defp fallback_provider_name(_provider), do: "Other"
defp do_send_chat_message(conversation, user_message, opts) do
runtime = Keyword.get(opts, :runtime, OpenAICompatibleRuntime)
project_id = Keyword.get(opts, :project_id, active_project_id())
with {:ok, endpoint, model, mode} <-
Runtime.resolve_target(
:chat,
conversation: conversation,
secret_backend: Keyword.get(opts, :secret_backend, SecretBackend)
),
:ok <- Runtime.validate_target(:chat, model, mode),
messages <- load_chat_messages(conversation.id),
tools <- available_chat_tools(project_id, model),
{:ok, reply} <-
chat_round(
conversation,
messages,
endpoint,
model,
project_id,
tools,
runtime,
opts,
chat_max_tool_rounds()
),
{:ok, reply} <-
maybe_generate_chat_title(conversation.id, user_message.content, reply, opts) do
{:ok, reply}
end
end
defp maybe_generate_chat_title(conversation_id, user_content, reply, opts) do
conversation = Repo.get!(ChatConversation, conversation_id)
cond do
chat_user_message_count(conversation_id) < 1 ->
Logger.debug("Chat title generation skipped reason=:no_user_messages")
{:ok, reply}
not generated_chat_title?(conversation.title, conversation.model) ->
Logger.debug(
"Chat title generation skipped reason=:conversation_already_titled title=#{inspect(conversation.title)}"
)
{:ok, reply}
true ->
Logger.debug("Chat title generation requested conversation_id=#{conversation_id}")
case generate_chat_title(user_content, opts) do
{:ok, title} when is_binary(title) and title != "" ->
now = Persistence.now_ms()
conversation
|> ChatConversation.changeset(%{title: title, updated_at: now})
|> Repo.update()
|> case do
{:ok, updated_conversation} ->
{:ok, %{reply | conversation: format_conversation(updated_conversation)}}
{:error, _reason} ->
{:ok, reply}
end
_other ->
{:ok, reply}
end
end
end
defp generate_chat_title(user_content, opts) when is_binary(user_content) do
runtime = Keyword.get(opts, :runtime, OpenAICompatibleRuntime)
with {:ok, endpoint, model, mode} <- Runtime.resolve_target(:chat_title, opts),
:ok <- Runtime.validate_target(:chat_title, model, mode),
request <- build_chat_title_request(user_content, model),
{:ok, response} <-
runtime.generate(Runtime.endpoint_with_model(endpoint, model), request, opts) do
title = sanitize_chat_title(Map.get(response, :content))
if title == "" do
Logger.warning("Chat title generation returned an empty title",
model: model,
content: inspect(Map.get(response, :content)),
usage: inspect(Map.get(response, :usage))
)
end
{:ok, title}
else
{:error, reason} = error ->
Logger.warning("Chat title generation failed", reason: inspect(reason))
error
other ->
Logger.warning("Chat title generation failed", reason: inspect(other))
other
end
end
defp build_chat_title_request(user_content, model) do
%{
operation: :chat_title,
model: model,
max_output_tokens: @title_max_output_tokens,
messages: [
%{
"role" => "system",
"content" =>
"Generate an ultra-short title (2-3 words, max 25 characters) for this conversation. Focus ONLY on the topic. Ignore any capability disclaimers. Do not include reasoning. Output ONLY the title text."
},
%{"role" => "user", "content" => "Topic: #{String.slice(user_content, 0, 100)}"}
]
}
end
defp sanitize_chat_title(title) when is_binary(title) do
title =
title
|> String.trim()
|> String.trim_leading("\"")
|> String.trim_leading("'")
|> String.trim_trailing("\"")
|> String.trim_trailing("'")
|> String.trim_trailing(".")
|> String.trim_trailing("!")
|> String.trim_trailing("?")
if String.length(title) > @chat_title_max_length do
String.slice(title, 0, @chat_title_max_length - 3) <> "..."
else
title
end
end
defp sanitize_chat_title(_title), do: ""
defp chat_user_message_count(conversation_id) do
Repo.aggregate(
from(message in ChatMessage,
where: message.conversation_id == ^conversation_id and message.role == :user
),
:count,
:id
)
end
defp generated_chat_title?(title, model) do
title in [generated_chat_title(nil), generated_chat_title(model)]
end
defp chat_round(
_conversation,
_messages,
_endpoint,
_model,
_project_id,
_tools,
_runtime,
_opts,
0
) do
{:error, %{kind: :tool_loop_exhausted}}
end
defp chat_round(
conversation,
messages,
endpoint,
model,
project_id,
tools,
runtime,
opts,
rounds_left
) do
request = build_chat_request(conversation, messages, model, project_id, tools)
with {:ok, response} <-
runtime.generate(Runtime.endpoint_with_model(endpoint, model), request, opts),
{:ok, assistant_message} <- persist_assistant_response(conversation.id, response),
:ok <- touch_conversation(conversation.id) do
if is_binary(Map.get(response, :content)) and String.trim(Map.get(response, :content)) != "" do
notify_chat_event(
opts,
{:chat_streaming_content, conversation.id, Map.get(response, :content)}
)
end
tool_calls = decode_tool_calls(Map.get(response, :tool_calls))
Enum.each(tool_calls, fn tool_call ->
notify_chat_event(opts, {:chat_tool_call, conversation.id, tool_call})
end)
cond do
tool_calls != [] and tools != [] ->
with {:ok, tool_messages} <-
execute_tool_calls(conversation.id, tool_calls, project_id, opts),
updated_messages <- load_chat_messages(conversation.id),
{:ok, reply} <-
chat_round(
Repo.get!(ChatConversation, conversation.id),
updated_messages,
endpoint,
model,
project_id,
tools,
runtime,
opts,
rounds_left - 1
) do
{:ok, Map.put(reply, :tool_messages, tool_messages)}
end
true ->
{:ok,
%{
conversation: format_conversation(Repo.get!(ChatConversation, conversation.id)),
assistant_message: format_chat_message(assistant_message),
tool_messages: []
}}
end
end
end
defp persist_assistant_response(conversation_id, response) do
usage = normalize_usage(response.usage)
content =
case Map.get(response, :content) do
nil -> encode_nullable(Map.get(response, :json))
value -> value
end
persist_chat_message(%{
conversation_id: conversation_id,
role: :assistant,
content: content,
tool_calls: encode_nullable(Map.get(response, :tool_calls)),
token_usage_input: usage.input_tokens,
token_usage_output: usage.output_tokens,
cache_read_tokens: usage.cache_read_tokens,
cache_write_tokens: usage.cache_write_tokens,
created_at: Persistence.now_ms()
})
end
defp execute_tool_calls(conversation_id, tool_calls, project_id, opts) do
tool_messages =
Enum.map(tool_calls, fn tool_call ->
result = ChatTools.execute(tool_call.name, tool_call.arguments || %{}, project_id)
{:ok, message} =
persist_chat_message(%{
conversation_id: conversation_id,
role: :tool,
content: Jason.encode!(result),
tool_call_id: tool_call.id,
created_at: Persistence.now_ms()
})
notify_chat_event(opts, {:chat_tool_result, conversation_id, tool_call.name})
format_chat_message(message)
end)
{:ok, tool_messages}
end
defp build_chat_request(conversation, messages, model, project_id, tools) do
system_message = %{"role" => "system", "content" => chat_system_prompt(project_id, tools)}
%{
operation: :chat,
conversation_id: conversation.id,
model: model,
max_output_tokens: @default_max_output_tokens,
tools: Enum.map(tools, & &1.spec),
messages:
[system_message | Enum.map(messages, &message_for_runtime/1)]
|> truncate_chat_messages(model, tools)
}
end
defp message_for_runtime(%ChatMessage{} = message) do
base = %{"role" => Atom.to_string(message.role)}
base =
if is_binary(message.content), do: Map.put(base, "content", message.content), else: base
base =
if is_binary(message.tool_call_id),
do: Map.put(base, "tool_call_id", message.tool_call_id),
else: base
case Catalog.decode_nullable_json(message.tool_calls) do
nil -> base
tool_calls -> Map.put(base, "tool_calls", tool_calls_for_runtime(tool_calls))
end
end
defp tool_calls_for_runtime(tool_calls) when is_list(tool_calls) do
Enum.map(tool_calls, &tool_call_for_runtime/1)
end
defp tool_calls_for_runtime(tool_calls), do: tool_calls
defp tool_call_for_runtime(%{"type" => "function", "function" => %{} = _function} = tool_call) do
tool_call
end
defp tool_call_for_runtime(%{"id" => id, "name" => name} = tool_call) do
%{
"id" => id,
"type" => "function",
"function" => %{
"name" => name,
"arguments" => Jason.encode!(tool_call["arguments"] || %{})
}
}
end
defp tool_call_for_runtime(%{id: id, name: name} = tool_call) do
%{
"id" => id,
"type" => "function",
"function" => %{
"name" => name,
"arguments" => Jason.encode!(Map.get(tool_call, :arguments) || %{})
}
}
end
defp tool_call_for_runtime(tool_call), do: tool_call
defp truncate_chat_messages(messages, model, tools) do
context_window = model_context_window(model)
reserve = min(@default_max_output_tokens, max(div(context_window, 4), 512))
tool_budget = length(tools) * 120
max_budget = max(context_window - reserve - tool_budget, 512)
[system | remainder] = messages
{kept, _tokens} =
Enum.reduce(Enum.reverse(remainder), {[], approximate_message_tokens(system)}, fn message,
{acc,
used} ->
message_tokens = approximate_message_tokens(message)
if used + message_tokens <= max_budget do
{[message | acc], used + message_tokens}
else
{acc, used}
end
end)
[system | kept]
end
defp available_chat_tools(project_id, model) do
ChatTools.available_specs(project_id, Catalog.model_capabilities(model))
end
# BoundedToolLoop: the tool-calling round count is capped by
# config.chat_max_tool_rounds (falling back to the built-in default).
defp chat_max_tool_rounds do
:bds
|> Application.get_env(:chat, [])
|> Keyword.get(:max_tool_rounds, @chat_max_tool_rounds)
end
defp chat_system_prompt(project_id, tools) do
base = get_setting("ai.system_prompt") || @default_system_prompt
with true <- tools != [],
summary when is_binary(summary) <- project_stats_summary(project_id) do
base <> "\n\nCurrent blog statistics:\n" <> summary <> "\n\n" <> blog_tool_guidance()
else
_other -> base
end
end
defp blog_tool_guidance do
Enum.join(
[
"Available blog data tools:",
"- Use get_blog_stats for aggregate counts of posts, media, tags, and categories.",
"- Use search_posts for full-text blog search and filtered post lookup by category, tag, language, year, month, or status.",
"- Use read_post to read a post by ID, or read_post_by_slug to read a post by slug.",
"- Use read_post_by_slug to read full post content and metadata when a slug is known.",
"- Use list_posts when asked for post titles, slugs, URLs, statuses, backlinks, or recent/top/latest post lists. This is allowed project data access.",
"- Use get_media for one media item by ID, list_media for media titles, filenames, MIME types, or recent media lists, and view_image for visual image inspection.",
"- Use update_post_metadata and update_media_metadata when asked to change titles, excerpts, tags, categories, alt text, or captions.",
"- Use get_post_backlinks, get_post_outlinks, get_post_media, and get_media_posts for relationship questions.",
"- Use list_tags, list_categories, and count_posts for taxonomy and grouped analytics questions.",
"If a requested blog fact is available through these tools, call the tool instead of saying you cannot access the data.",
"",
"Available UI Render Tools (use these to show rich interactive elements):",
"- render_chart: Show data as a bar, stacked-bar, line, area, pie, donut, or heatmap chart. Use when presenting statistics or comparisons. Use stacked-bar when each bar has multiple segments (e.g., published vs draft posts per year). Use area for cumulative or trend data where the filled region emphasizes volume. Use donut for proportional breakdowns with a total displayed in the center. Use heatmap for grid/matrix visualizations where color intensity shows magnitude — e.g., posts per month across years (each series entry is a row like a year, each segment is a column like a month), or a calendar view where rows are weekdays and columns are week numbers. ALWAYS prefer heatmap over a table with emojis or color indicators when showing intensity grids or calendar-style activity views. IMPORTANT: a heatmap needs structured data — each entry in 'series' is a ROW and must include a 'segments' array whose entries are the COLUMNS (every segment needs a 'label' and a numeric 'value'); the row's own 'value' is ignored. Plan what the rows and columns represent before fetching data (e.g. rows = years, columns = months). A heatmap sent without segments renders empty.",
"- render_table: Show data in a structured table. Use for tabular comparisons and listings.",
"- render_form: Show an interactive form to collect user input (e.g., metadata edits, settings).",
"- render_card: Show an information card with title, body, and action buttons.",
"- render_metric: Show a single KPI or statistic prominently.",
"- render_list: Show a bulleted list of items.",
"- render_tabs: Organize information into switchable tabs. Tab content supports all content types: text, metrics, lists, charts, and tables.",
"",
"When presenting data, statistics, or comparisons, prefer using render tools (render_chart, render_table, render_metric) to show rich interactive UI instead of plain text. When you need user input for a multi-field operation, use render_form to present a structured form. Use render_card with action buttons when presenting items the user might want to navigate to (e.g., posts, media). When comparing data across multiple dimensions (e.g., statistics per year), use render_tabs with embedded charts or tables in each tab. When building any visualization, render it as soon as you have enough data."
],
"\n"
)
end
defp project_stats_summary(nil), do: nil
defp project_stats_summary(project_id) do
post_count =
Repo.aggregate(from(post in Post, where: post.project_id == ^project_id), :count, :id)
media_count =
Repo.aggregate(from(media in Media, where: media.project_id == ^project_id), :count, :id)
tag_count = count_distinct_string_list(Post, :tags, project_id)
category_count = count_distinct_string_list(Post, :categories, project_id)
Enum.join(
[
"Posts: #{post_count}",
"Media: #{media_count}",
"Tags: #{tag_count}",
"Categories: #{category_count}"
],
"\n"
)
end
defp generated_chat_title(nil), do: "New Chat"
defp generated_chat_title(model), do: "Chat with #{model}"
defp load_chat_messages(conversation_id) do
Repo.all(
from message in ChatMessage,
where: message.conversation_id == ^conversation_id,
order_by: [asc: message.created_at, asc: message.id]
)
end
defp persist_chat_message(attrs) do
%ChatMessage{}
|> ChatMessage.changeset(attrs)
|> Repo.insert()
end
defp touch_conversation(conversation_id) do
now = Persistence.now_ms()
Repo.update_all(
from(conversation in ChatConversation, where: conversation.id == ^conversation_id),
set: [updated_at: now]
)
:ok
end
defp await_chat_task(task) do
ref = task.ref
receive do
{^ref, result} ->
Process.demonitor(task.ref, [:flush])
result
{:DOWN, ^ref, :process, _pid, reason} ->
case reason do
:normal ->
receive do
{^ref, result} -> result
after
10 -> {:error, :cancelled}
end
:shutdown ->
{:error, :cancelled}
{:shutdown, _detail} ->
{:error, :cancelled}
_other ->
{:error, :cancelled}
end
end
end
defp decode_tool_calls(nil), do: []
defp decode_tool_calls(tool_calls) when is_list(tool_calls) do
Enum.map(tool_calls, fn tool_call ->
%{
id: tool_call[:id] || tool_call["id"],
name: tool_call[:name] || tool_call["name"],
arguments: tool_call[:arguments] || tool_call["arguments"] || %{}
}
end)
end
defp approximate_message_tokens(message) when is_map(message) do
message
|> Map.values()
|> Enum.map(&approximate_value_tokens/1)
|> Enum.sum()
|> Kernel.+(4)
end
defp approximate_value_tokens(value) when is_binary(value), do: div(String.length(value), 4) + 1
defp approximate_value_tokens(value) when is_list(value),
do: Enum.map(value, &approximate_value_tokens/1) |> Enum.sum()
defp approximate_value_tokens(value) when is_map(value),
do: Jason.encode!(value) |> approximate_value_tokens()
defp approximate_value_tokens(_value), do: 1
defp model_context_window(model_id) do
case Catalog.get_catalog_model(model_id) do
{:ok, model} when is_integer(model.context_window) and model.context_window > 0 ->
model.context_window
_other ->
@default_context_window
end
end
defp notify_chat_event(opts, event) do
case Keyword.get(opts, :event_target) do
pid when is_pid(pid) -> send(pid, event)
callback when is_function(callback, 1) -> callback.(event)
_other -> :ok
end
:ok
end
defp active_project_id do
Repo.one(from project in Project, where: project.is_active == true, select: project.id)
end
defp allow_repo_sandbox(pid) when is_pid(pid) do
if Code.ensure_loaded?(Ecto.Adapters.SQL.Sandbox) do
try do
Ecto.Adapters.SQL.Sandbox.allow(BDS.Repo, self(), pid)
rescue
_error -> :ok
end
else
:ok
end
:ok
end
defp encode_nullable(nil), do: nil
defp encode_nullable(value), do: Jason.encode!(value)
defp blank?(value), do: value in [nil, ""]
end