Files
bDS2/lib/bds/ai.ex
2026-04-28 20:38:26 +02:00

1491 lines
47 KiB
Elixir

defmodule BDS.AI do
@moduledoc false
import Ecto.Query
alias BDS.AI.CatalogMeta
alias BDS.AI.CatalogProvider
alias BDS.AI.ChatConversation
alias BDS.AI.ChatMessage
alias BDS.AI.InFlight
alias BDS.AI.Model
alias BDS.AI.ModelModality
alias BDS.AI.OpenAICompatibleRuntime
alias BDS.AI.SecretBackend
alias BDS.Media.Media
alias BDS.Persistence
alias BDS.Posts.Post
alias BDS.Projects.Project
alias BDS.Repo
alias BDS.Settings.Setting
@catalog_url "https://models.dev/api.json"
@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
@chat_max_tool_rounds 10
@default_context_window 128_000
@model_preference_keys %{
default: "ai.model.default",
chat: "ai.model.chat",
title: "ai.model.title",
image_analysis: "ai.model.image_analysis",
airplane_chat: "ai.airplane.model.chat",
airplane_title: "ai.airplane.model.title",
airplane_image_analysis: "ai.airplane.model.image_analysis"
}
def put_endpoint(kind, attrs, opts \\ []) when is_atom(kind) and is_map(attrs) and is_list(opts) do
backend = Keyword.get(opts, :secret_backend, SecretBackend)
kind_key = Atom.to_string(kind)
url = Map.get(attrs, :url) || Map.get(attrs, "url")
model = Map.get(attrs, :model) || Map.get(attrs, "model")
api_key = Map.get(attrs, :api_key) || Map.get(attrs, "api_key")
with :ok <- put_setting("ai.#{kind_key}.url", url),
:ok <- put_setting("ai.#{kind_key}.model", model),
:ok <- put_secret("ai.#{kind_key}.api_key", api_key, backend) do
{:ok, %{kind: kind, url: url, api_key: api_key, model: model}}
end
end
def get_endpoint(kind, opts \\ []) when is_atom(kind) and is_list(opts) do
backend = Keyword.get(opts, :secret_backend, SecretBackend)
kind_key = Atom.to_string(kind)
url = get_setting("ai.#{kind_key}.url")
model = get_setting("ai.#{kind_key}.model")
encrypted_api_key = get_setting(encrypted_key("ai.#{kind_key}.api_key"))
cond do
is_nil(url) and is_nil(model) and is_nil(encrypted_api_key) ->
{:ok, nil}
true ->
with {:ok, api_key} <- get_secret(encrypted_api_key, backend) do
{:ok, %{kind: kind, url: url, api_key: api_key, model: model}}
end
end
end
def delete_endpoint(kind) when is_atom(kind) do
kind_key = Atom.to_string(kind)
delete_setting("ai.#{kind_key}.url")
delete_setting("ai.#{kind_key}.model")
delete_setting(encrypted_key("ai.#{kind_key}.api_key"))
:ok
end
def list_endpoint_models(endpoint, opts \\ []) when is_map(endpoint) and is_list(opts) do
http_client = Keyword.get(opts, :http_client, Application.get_env(:bds, :ai_http_client, BDS.AI.HttpClient))
OpenAICompatibleRuntime.list_models(endpoint, http_client: http_client)
end
def refresh_model_catalog(opts \\ []) when is_list(opts) do
http_client = Keyword.get(opts, :http_client, BDS.AI.HttpClient)
headers =
%{"accept" => "application/json"}
|> maybe_put_header("if-none-match", get_catalog_meta_value("etag"))
with {:ok, response} <- http_get(http_client, @catalog_url, headers) do
case response.status do
304 ->
:ok = put_catalog_meta("last_fetched_at", DateTime.utc_now() |> DateTime.to_iso8601())
{:ok, %{success: true, models_updated: 0, not_modified: true}}
200 ->
payload = Jason.decode!(response.body)
models_updated = persist_catalog(payload)
if etag = response.headers["etag"] do
:ok = put_catalog_meta("etag", etag)
end
:ok = put_catalog_meta("last_fetched_at", DateTime.utc_now() |> DateTime.to_iso8601())
{:ok, %{success: true, models_updated: models_updated, not_modified: false}}
status ->
{:error, %{kind: :http_error, status: status}}
end
end
end
def list_catalog_providers do
Repo.all(from provider in CatalogProvider, order_by: [asc: provider.id])
|> Enum.map(fn provider ->
%{
id: provider.id,
name: provider.name,
env_keys: decode_json_list(provider.env_keys),
package_ref: provider.package_ref,
api_url: provider.api_url,
doc_url: provider.doc_url,
updated_at: provider.updated_at
}
end)
end
def get_catalog_model(model_id, provider_id \\ nil) when is_binary(model_id) do
query =
from model in Model,
where: model.model_id == ^model_id,
order_by: [asc: model.provider]
query =
case provider_id do
nil -> query
provider -> from model in query, where: model.provider == ^provider
end
case Repo.one(query) do
nil -> {:error, :not_found}
model -> {:ok, format_model(model)}
end
end
def catalog_meta(key) when is_binary(key) do
{:ok, get_catalog_meta_value(key)}
end
def set_airplane_mode(enabled) when is_boolean(enabled) do
put_setting("ai.airplane_mode_enabled", Atom.to_string(enabled))
end
def airplane_mode?(default \\ false) when is_boolean(default) do
case get_setting("ai.airplane_mode_enabled") do
nil -> default
"false" -> false
_other -> true
end
end
def put_model_preference(key, model) when is_atom(key) and is_binary(model) do
case Map.fetch(@model_preference_keys, key) do
{:ok, setting_key} -> put_setting(setting_key, model)
:error -> {:error, :unknown_model_preference}
end
end
def get_model_preference(key) when is_atom(key) do
case Map.fetch(@model_preference_keys, key) do
{:ok, setting_key} -> {:ok, get_setting(setting_key)}
:error -> {:error, :unknown_model_preference}
end
end
def put_model_capabilities(model_id, attrs) when is_binary(model_id) and is_map(attrs) do
capabilities = %{
supports_attachment: truthy?(Map.get(attrs, :supports_attachment) || Map.get(attrs, "supports_attachment")),
supports_tool_calls: truthy?(Map.get(attrs, :supports_tool_calls) || Map.get(attrs, "supports_tool_calls"))
}
put_setting("ai.model_capabilities.#{model_id}", Jason.encode!(capabilities))
end
def detect_language(text, opts \\ []) when is_binary(text) and is_list(opts) do
run_one_shot(
:detect_language,
%{text: text},
opts,
fn json, usage ->
{:ok, %{language_code: json["language_code"], usage: usage}}
end
)
end
def analyze_taxonomy(post_input, opts \\ []) when is_list(opts) do
with {:ok, post} <- normalize_post_input(post_input) do
run_one_shot(
:analyze_taxonomy,
post,
opts,
fn json, usage ->
{:ok,
%{
tags: json["tags"] || [],
categories: json["categories"] || [],
usage: usage
}}
end
)
end
end
def analyze_post(post_input, opts \\ []) when is_list(opts) do
with {:ok, post} <- normalize_post_input(post_input) do
run_one_shot(
:analyze_post,
post,
opts,
fn json, usage ->
{:ok,
%{
title: json["title"],
excerpt: json["excerpt"],
slug: json["slug"],
usage: usage
}}
end
)
end
end
def translate_post(post_input, target_language, opts \\ [])
when is_binary(target_language) and is_list(opts) do
with {:ok, post} <- normalize_post_input(post_input) do
run_one_shot(
:translate_post,
Map.put(post, :target_language, target_language),
opts,
fn json, usage ->
{:ok,
%{
title: json["title"],
excerpt: json["excerpt"],
content: json["content"],
usage: usage
}}
end
)
end
end
def analyze_image(media_input, opts \\ []) when is_list(opts) do
with {:ok, media} <- normalize_media_input(media_input),
:ok <- ensure_image_media(media) do
run_one_shot(
:analyze_image,
media,
opts,
fn json, usage ->
{:ok,
%{
title: json["title"],
alt: json["alt"],
caption: json["caption"],
usage: usage
}}
end
)
end
end
def translate_media(media_input, target_language, opts \\ [])
when is_binary(target_language) and is_list(opts) do
with {:ok, media} <- normalize_media_input(media_input) do
run_one_shot(
:translate_media,
Map.put(media, :target_language, target_language),
opts,
fn json, usage ->
{:ok,
%{
title: json["title"],
alt: json["alt"],
caption: json["caption"],
usage: usage
}}
end
)
end
end
def start_chat(attrs \\ %{}) when is_map(attrs) do
now = Persistence.now_ms()
model = Map.get(attrs, :model) || Map.get(attrs, "model")
title = Map.get(attrs, :title) || Map.get(attrs, "title") || generated_chat_title(model)
%ChatConversation{}
|> ChatConversation.changeset(%{
id: Ecto.UUID.generate(),
title: title,
model: model,
copilot_session_id: Map.get(attrs, :copilot_session_id) || Map.get(attrs, "copilot_session_id"),
created_at: now,
updated_at: now
})
|> Repo.insert()
|> case do
{:ok, conversation} -> {:ok, format_conversation(conversation)}
error -> error
end
end
def list_chat_conversations do
Repo.all(from conversation in ChatConversation, order_by: [desc: conversation.updated_at])
|> Enum.map(&format_conversation/1)
end
def available_chat_models(current_model \\ nil) do
endpoint_models =
[:online, :airplane]
|> Enum.flat_map(fn kind ->
case get_endpoint(kind) do
{:ok, %{model: model}} when is_binary(model) and model != "" -> [model]
_other -> []
end
end)
preference_models =
[:chat, :airplane_chat]
|> Enum.flat_map(fn key ->
case get_model_preference(key) do
{:ok, model} when is_binary(model) and model != "" -> [model]
_other -> []
end
end)
[current_model | endpoint_models ++ preference_models]
|> Enum.filter(&(is_binary(&1) and String.trim(&1) != ""))
|> Enum.uniq()
|> Enum.map(&%{id: &1, name: &1})
end
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
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
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
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
defp format_model(model) do
modalities =
Repo.all(
from modality in ModelModality,
where: modality.provider == ^model.provider and modality.model_id == ^model.model_id
)
%{
provider: model.provider,
model_id: model.model_id,
name: model.name,
family: model.family,
supports_attachment: model.supports_attachment,
supports_reasoning: model.supports_reasoning,
supports_tool_calls: model.supports_tool_calls,
supports_structured_output: model.supports_structured_output,
supports_temperature: model.supports_temperature,
knowledge: model.knowledge,
release_date: model.release_date,
last_updated_date: model.last_updated_date,
open_weights: model.open_weights,
input_price: model.input_price,
output_price: model.output_price,
cache_read_price: model.cache_read_price,
cache_write_price: model.cache_write_price,
context_window: model.context_window,
max_input_tokens: model.max_input_tokens,
max_output_tokens: model.max_output_tokens,
interleaved: model.interleaved,
status: model.status,
updated_at: model.updated_at,
input_modalities:
modalities
|> Enum.filter(&(&1.direction == :input))
|> Enum.map(&Atom.to_string(&1.modality)),
output_modalities:
modalities
|> Enum.filter(&(&1.direction == :output))
|> Enum.map(&Atom.to_string(&1.modality))
}
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: 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 run_one_shot(operation, payload, opts, formatter) do
runtime = Keyword.get(opts, :runtime, OpenAICompatibleRuntime)
with {:ok, endpoint, model, mode} <- resolve_runtime_target(operation, secret_backend: Keyword.get(opts, :secret_backend, SecretBackend)),
:ok <- validate_runtime_target(operation, model, mode),
request <- build_one_shot_request(operation, payload, model),
{:ok, response} <- runtime.generate(endpoint_with_model(endpoint, model), request, opts),
{:ok, json} <- extract_json_response(response),
usage <- normalize_usage(response.usage),
{:ok, result} <- formatter.(json, usage) do
{:ok, result}
end
end
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} <-
resolve_runtime_target(
:chat,
conversation: conversation,
secret_backend: Keyword.get(opts, :secret_backend, SecretBackend)
),
:ok <- validate_runtime_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) do
{:ok, reply}
end
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(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 = execute_tool(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 execute_tool("blog_stats", _arguments, project_id) do
project_id = project_id || active_project_id()
%{
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)
}
end
defp execute_tool("list_posts", arguments, project_id) do
limit = normalize_limit(arguments["limit"])
Repo.all(
from post in Post,
where: post.project_id == ^project_id,
order_by: [desc: post.updated_at],
limit: ^limit,
select: %{id: post.id, title: post.title, slug: post.slug, status: post.status}
)
end
defp execute_tool("list_media", arguments, project_id) do
limit = normalize_limit(arguments["limit"])
Repo.all(
from media in Media,
where: media.project_id == ^project_id,
order_by: [desc: media.updated_at],
limit: ^limit,
select: %{id: media.id, title: media.title, mime_type: media.mime_type, filename: media.filename}
)
end
defp execute_tool("render_table", arguments, _project_id) do
%{
type: "table",
title: arguments["title"],
columns: arguments["columns"] || [],
rows: arguments["rows"] || []
}
end
defp execute_tool("render_chart", arguments, _project_id) do
%{
type: "chart",
title: arguments["title"],
chart_type: arguments["chart_type"] || "bar",
series: arguments["series"] || []
}
end
defp execute_tool("render_form", arguments, _project_id) do
%{
type: "form",
title: arguments["title"],
fields: arguments["fields"] || [],
submit_label: arguments["submit_label"] || arguments["submitLabel"],
submit_action: arguments["submit_action"] || arguments["submitAction"]
}
end
defp execute_tool("render_card", arguments, _project_id) do
%{
type: "card",
title: arguments["title"],
subtitle: arguments["subtitle"],
body: arguments["body"],
actions: arguments["actions"] || []
}
end
defp execute_tool("render_metric", arguments, _project_id) do
%{
type: "metric",
label: arguments["label"],
value: arguments["value"]
}
end
defp execute_tool("render_list", arguments, _project_id) do
%{
type: "list",
title: arguments["title"],
items: arguments["items"] || []
}
end
defp execute_tool("render_tabs", arguments, _project_id) do
%{
type: "tabs",
title: arguments["title"],
tabs: arguments["tabs"] || []
}
end
defp execute_tool("render_mindmap", arguments, _project_id) do
%{
type: "mindmap",
title: arguments["title"],
nodes: arguments["nodes"] || []
}
end
defp execute_tool(name, _arguments, _project_id) do
%{error: "unknown_tool", name: name}
end
defp build_one_shot_request(operation, payload, model) do
%{
operation: operation,
model: model,
max_output_tokens: @default_max_output_tokens,
messages: [
%{"role" => "system", "content" => one_shot_system_prompt(operation)},
%{"role" => "user", "content" => one_shot_user_content(operation, payload)}
]
}
end
defp build_chat_request(conversation, messages, model, project_id, tools) do
system_message = %{"role" => "system", "content" => chat_system_prompt(project_id)}
%{
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 decode_nullable_json(message.tool_calls) do
nil -> base
tool_calls -> Map.put(base, "tool_calls", tool_calls)
end
end
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
if model_capabilities(model).supports_tool_calls do
project_tools =
if is_binary(project_id) do
[
%{name: "blog_stats", spec: tool_spec("blog_stats", "Return aggregate blog statistics", %{"type" => "object", "properties" => %{}})},
%{name: "list_posts", spec: tool_spec("list_posts", "List recent posts in the active project", limit_schema())},
%{name: "list_media", spec: tool_spec("list_media", "List recent media items in the active project", limit_schema())}
]
else
[]
end
project_tools ++
[
%{name: "render_card", spec: tool_spec("render_card", "Return a structured card payload", render_card_schema())},
%{name: "render_table", spec: tool_spec("render_table", "Return a structured table payload", render_table_schema())},
%{name: "render_chart", spec: tool_spec("render_chart", "Return a structured chart payload", render_chart_schema())},
%{name: "render_form", spec: tool_spec("render_form", "Return a structured form payload", render_form_schema())},
%{name: "render_metric", spec: tool_spec("render_metric", "Return a structured metric payload", render_metric_schema())},
%{name: "render_list", spec: tool_spec("render_list", "Return a structured list payload", render_list_schema())},
%{name: "render_tabs", spec: tool_spec("render_tabs", "Return a structured tabs payload", render_tabs_schema())},
%{name: "render_mindmap", spec: tool_spec("render_mindmap", "Return a structured mindmap payload", render_mindmap_schema())}
]
else
[]
end
end
defp resolve_runtime_target(operation, extra) do
mode = if airplane_mode?(), do: :airplane, else: :online
secret_backend = Keyword.get(extra, :secret_backend, SecretBackend)
with {:ok, endpoint} <- fetch_endpoint_for_mode(mode, secret_backend),
{:ok, model} <- resolve_model_for_operation(operation, mode, endpoint, extra) do
{:ok, endpoint, model, mode}
end
end
defp resolve_model_for_operation(:chat, :airplane, endpoint, _extra) do
{:ok, get_model_preference_value(:airplane_chat) || endpoint.model}
end
defp resolve_model_for_operation(:chat, :online, endpoint, conversation: conversation) do
{:ok, conversation.model || get_model_preference_value(:chat) || endpoint.model}
end
defp resolve_model_for_operation(:chat, :online, endpoint, _extra) do
{:ok, get_model_preference_value(:chat) || endpoint.model}
end
defp resolve_model_for_operation(:analyze_image, :airplane, endpoint, _extra) do
{:ok, get_model_preference_value(:airplane_image_analysis) || endpoint.model}
end
defp resolve_model_for_operation(:analyze_image, :online, endpoint, _extra) do
{:ok, get_model_preference_value(:image_analysis) || endpoint.model}
end
defp resolve_model_for_operation(_operation, :airplane, endpoint, _extra) do
{:ok, get_model_preference_value(:airplane_title) || endpoint.model}
end
defp resolve_model_for_operation(_operation, :online, endpoint, _extra) do
{:ok, get_model_preference_value(:title) || endpoint.model}
end
defp validate_runtime_target(:analyze_image, model, _mode) do
if model_capabilities(model).supports_attachment do
:ok
else
{:error, %{kind: :model_capability_missing, capability: :supports_attachment, model: model}}
end
end
defp validate_runtime_target(_operation, _model, _mode), do: :ok
defp fetch_endpoint_for_mode(mode, secret_backend) do
with {:ok, endpoint} <- get_endpoint(mode, secret_backend: secret_backend) do
case endpoint do
%{url: url, model: model} = loaded when is_binary(url) and url != "" and is_binary(model) and model != "" ->
if mode == :online and blank?(loaded.api_key) do
{:error, %{kind: :endpoint_not_configured, endpoint: mode}}
else
{:ok, loaded}
end
_other ->
{:error, %{kind: :endpoint_not_configured, endpoint: mode}}
end
end
end
defp endpoint_with_model(endpoint, model), do: Map.put(endpoint, :model, model)
defp get_model_preference_value(key) do
case get_model_preference(key) do
{:ok, value} -> value
_other -> nil
end
end
defp chat_system_prompt(project_id) do
base = get_setting("ai.system_prompt") || @default_system_prompt
case project_stats_summary(project_id) do
nil -> base
summary -> base <> "\n\nCurrent blog statistics:\n" <> summary
end
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 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
defp one_shot_system_prompt(:detect_language) do
"Return JSON with exactly one key: language_code."
end
defp one_shot_system_prompt(:analyze_taxonomy) do
"Return JSON with keys tags and categories, each an array of short strings."
end
defp one_shot_system_prompt(:analyze_post) do
"Return JSON with keys title, excerpt, and slug."
end
defp one_shot_system_prompt(:translate_post) do
"Return JSON with keys title, excerpt, and content. Preserve Markdown structure."
end
defp one_shot_system_prompt(:analyze_image) do
"Return JSON with keys title, alt, and caption for the provided image."
end
defp one_shot_system_prompt(:translate_media) do
"Return JSON with keys title, alt, and caption translated to the requested language."
end
defp one_shot_user_content(:detect_language, %{text: text}) do
"Detect the language of this text: #{text}"
end
defp one_shot_user_content(:analyze_taxonomy, post) do
"Suggest categories and tags for the following post.\nTitle: #{post.title}\nExcerpt: #{post.excerpt}\nContent: #{truncate_text(post.content, 2000)}"
end
defp one_shot_user_content(:analyze_post, post) do
"Suggest an improved title, excerpt, and slug.\nTitle: #{post.title}\nExcerpt: #{post.excerpt}\nContent: #{truncate_text(post.content, 2000)}"
end
defp one_shot_user_content(:translate_post, post) do
"Translate this post to #{post.target_language}.\nTitle: #{post.title}\nExcerpt: #{post.excerpt}\nContent: #{post.content}"
end
defp one_shot_user_content(:analyze_image, media) do
[
%{"type" => "text", "text" => "Analyze this image and return title, alt text, and caption."},
%{"type" => "image_url", "image_url" => %{"url" => media.image_url}}
]
end
defp one_shot_user_content(:translate_media, media) do
"Translate this media metadata to #{media.target_language}.\nTitle: #{media.title}\nAlt: #{media.alt}\nCaption: #{media.caption}"
end
defp extract_json_response(%{json: json}) when is_map(json), do: {:ok, json}
defp extract_json_response(%{content: content}) when is_binary(content) do
case Jason.decode(content) do
{:ok, json} when is_map(json) -> {:ok, json}
_other -> {:error, %{kind: :invalid_json_response}}
end
end
defp extract_json_response(_response), do: {:error, %{kind: :invalid_json_response}}
defp normalize_post_input(%Post{} = post) do
{:ok, %{title: post.title || "", excerpt: post.excerpt || "", content: post.content || ""}}
end
defp normalize_post_input(post_id) when is_binary(post_id) do
case Repo.get(Post, post_id) do
nil -> {:error, :not_found}
post -> normalize_post_input(post)
end
end
defp normalize_post_input(attrs) when is_map(attrs) do
{:ok,
%{
title: Map.get(attrs, :title) || Map.get(attrs, "title") || "",
excerpt: Map.get(attrs, :excerpt) || Map.get(attrs, "excerpt") || "",
content: Map.get(attrs, :content) || Map.get(attrs, "content") || ""
}}
end
defp normalize_media_input(%Media{} = media) do
{:ok,
%{
mime_type: media.mime_type,
title: media.title || "",
alt: media.alt || "",
caption: media.caption || "",
image_url: Map.get(media, :image_url) || media_path_to_file_url(media.file_path)
}}
end
defp normalize_media_input(media_id) when is_binary(media_id) do
case Repo.get(Media, media_id) do
nil -> {:error, :not_found}
media -> normalize_media_input(media)
end
end
defp normalize_media_input(attrs) when is_map(attrs) do
{:ok,
%{
mime_type: Map.get(attrs, :mime_type) || Map.get(attrs, "mime_type"),
title: Map.get(attrs, :title) || Map.get(attrs, "title") || "",
alt: Map.get(attrs, :alt) || Map.get(attrs, "alt") || "",
caption: Map.get(attrs, :caption) || Map.get(attrs, "caption") || "",
image_url: Map.get(attrs, :image_url) || Map.get(attrs, "image_url")
}}
end
defp ensure_image_media(%{mime_type: "image/" <> _rest}), do: :ok
defp ensure_image_media(_media), do: {:error, %{kind: :invalid_media_type}}
defp media_path_to_file_url(nil), do: nil
defp media_path_to_file_url(path), do: "file://" <> path
defp model_capabilities(model_id) do
overrides = decode_model_capabilities_override(model_id)
from_catalog =
case get_catalog_model(model_id) do
{:ok, model} ->
%{
supports_attachment: model.supports_attachment or ("image" in model.input_modalities),
supports_tool_calls: model.supports_tool_calls
}
_other ->
inferred_model_capabilities(model_id)
end
Map.merge(from_catalog, overrides)
end
defp inferred_model_capabilities(model_id) do
normalized = String.downcase(model_id)
%{
supports_attachment:
String.contains?(normalized, "4o") or String.contains?(normalized, "vision") or
String.contains?(normalized, "llava"),
supports_tool_calls:
String.contains?(normalized, "gpt") or String.contains?(normalized, "claude") or
String.contains?(normalized, "tool")
}
end
defp decode_model_capabilities_override(model_id) do
case get_setting("ai.model_capabilities.#{model_id}") do
nil -> %{}
value -> Jason.decode!(value) |> atomize_map_keys()
end
end
defp atomize_map_keys(map) do
Enum.into(map, %{}, fn {key, value} -> {String.to_atom(key), value} end)
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 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 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
defp normalize_usage(_usage) do
%{
input_tokens: nil,
output_tokens: nil,
cache_read_tokens: nil,
cache_write_tokens: nil
}
end
defp tool_spec(name, description, parameters) do
%{
"type" => "function",
"function" => %{
"name" => name,
"description" => description,
"parameters" => parameters
}
}
end
defp limit_schema do
%{
"type" => "object",
"properties" => %{
"limit" => %{"type" => "integer", "minimum" => 1, "maximum" => 50}
}
}
end
defp render_table_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"columns" => %{"type" => "array"},
"rows" => %{"type" => "array"}
}
}
end
defp render_chart_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"chart_type" => %{"type" => "string"},
"series" => %{"type" => "array"}
}
}
end
defp render_form_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"fields" => %{"type" => "array"},
"submitLabel" => %{"type" => "string"},
"submitAction" => %{"type" => "string"}
}
}
end
defp render_card_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"subtitle" => %{"type" => "string"},
"body" => %{"type" => "string"},
"actions" => %{"type" => "array"}
}
}
end
defp render_metric_schema do
%{
"type" => "object",
"properties" => %{
"label" => %{"type" => "string"},
"value" => %{"type" => "string"}
}
}
end
defp render_list_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"items" => %{"type" => "array"}
}
}
end
defp render_tabs_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"tabs" => %{"type" => "array"}
}
}
end
defp render_mindmap_schema do
%{
"type" => "object",
"properties" => %{
"title" => %{"type" => "string"},
"nodes" => %{"type" => "array"}
}
}
end
defp normalize_limit(value) when is_integer(value) and value > 0 and value <= 50, do: value
defp normalize_limit(_value), do: 10
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 truncate_text(nil, _max_length), do: ""
defp truncate_text(text, max_length) when is_binary(text) do
if String.length(text) <= max_length do
text
else
String.slice(text, 0, max_length)
end
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 persist_catalog(payload) do
now = Persistence.now_ms()
Repo.transaction(fn ->
Repo.delete_all(ModelModality)
Repo.delete_all(Model)
Repo.delete_all(CatalogProvider)
Enum.reduce(payload, 0, fn {provider_id, provider_data}, count ->
provider_attrs = %{
id: provider_id,
name: Map.get(provider_data, "name", provider_id),
env_keys: Jason.encode!(Map.get(provider_data, "env", [])),
package_ref: Map.get(provider_data, "npm"),
api_url: Map.get(provider_data, "api"),
doc_url: Map.get(provider_data, "doc"),
updated_at: now
}
%CatalogProvider{}
|> CatalogProvider.changeset(provider_attrs)
|> Repo.insert!()
models = Map.get(provider_data, "models", %{})
Enum.reduce(models, count, fn {model_id, model_data}, inner_count ->
model_attrs = %{
provider: provider_id,
model_id: model_id,
name: Map.get(model_data, "name", model_id),
family: Map.get(model_data, "family"),
supports_attachment: Map.get(model_data, "attachment", false),
supports_reasoning: Map.get(model_data, "reasoning", false),
supports_tool_calls: Map.get(model_data, "tool_call", false),
supports_structured_output: Map.get(model_data, "structured_output", false),
supports_temperature: Map.get(model_data, "temperature", false),
knowledge: Map.get(model_data, "knowledge"),
release_date: Map.get(model_data, "release_date"),
last_updated_date: Map.get(model_data, "last_updated"),
open_weights: Map.get(model_data, "open_weights", false),
input_price: get_in(model_data, ["cost", "input"]),
output_price: get_in(model_data, ["cost", "output"]),
cache_read_price: get_in(model_data, ["cost", "cache_read"]),
cache_write_price: get_in(model_data, ["cost", "cache_write"]),
context_window: get_in(model_data, ["limit", "context"]) || 0,
max_input_tokens: get_in(model_data, ["limit", "input"]) || 0,
max_output_tokens: get_in(model_data, ["limit", "output"]) || 0,
interleaved: encode_nullable(Map.get(model_data, "interleaved")),
status: Map.get(model_data, "status"),
updated_at: now
}
%Model{}
|> Model.changeset(model_attrs)
|> Repo.insert!()
insert_modalities(provider_id, model_id, Map.get(model_data, "input_modalities", []), :input)
insert_modalities(provider_id, model_id, Map.get(model_data, "output_modalities", []), :output)
inner_count + 1
end)
end)
end)
|> case do
{:ok, count} -> count
{:error, reason} -> raise reason
end
end
defp insert_modalities(provider_id, model_id, modalities, direction) do
Enum.each(modalities, fn modality ->
%ModelModality{}
|> ModelModality.changeset(%{
provider: provider_id,
model_id: model_id,
direction: direction,
modality: parse_modality(modality)
})
|> Repo.insert!()
end)
end
defp parse_modality("text"), do: :text
defp parse_modality("image"), do: :image
defp parse_modality("audio"), do: :audio
defp parse_modality("file"), do: :file
defp parse_modality("tool"), do: :tool
defp parse_modality(other) when is_binary(other), do: String.to_atom(other)
defp encode_nullable(nil), do: nil
defp encode_nullable(value), do: Jason.encode!(value)
defp decode_nullable_json(nil), do: nil
defp decode_nullable_json(value) when is_binary(value), do: Jason.decode!(value)
defp http_get(client, url, headers) when is_atom(client), do: client.get(url, headers)
defp http_get(client, url, headers) when is_function(client, 2), do: client.(url, headers)
defp put_secret(_key, nil, _backend), do: :ok
defp put_secret(key, value, backend) do
with {:ok, encrypted_value} <- backend.encrypt(value) do
put_setting(encrypted_key(key), encrypted_value)
end
end
defp get_secret(nil, _backend), do: {:ok, nil}
defp get_secret(value, backend) do
backend.decrypt(value)
end
defp encrypted_key(key), do: "__encrypted_#{key}"
defp get_catalog_meta_value(key) do
case Repo.get(CatalogMeta, key) do
nil -> get_setting("ai.catalog.#{key}")
meta -> meta.value
end
end
defp put_catalog_meta(key, value) do
%CatalogMeta{}
|> CatalogMeta.changeset(%{key: key, value: value})
|> Repo.insert(
on_conflict: [set: [value: value]],
conflict_target: [:key]
)
:ok
end
defp get_setting(key) do
case Repo.get(Setting, key) do
nil -> nil
setting -> setting.value
end
end
defp put_setting(key, value) when is_binary(key) and is_binary(value) do
now = Persistence.now_ms()
(%Setting{}
|> Setting.changeset(%{key: key, value: value, updated_at: now}))
|> Repo.insert(
on_conflict: [set: [value: value, updated_at: now]],
conflict_target: [:key]
)
:ok
end
defp delete_setting(key) do
Repo.delete_all(from setting in Setting, where: setting.key == ^key)
:ok
end
defp blank?(value), do: value in [nil, ""]
defp truthy?(value), do: value in [true, "true", 1, "1"]
defp maybe_put_header(headers, _key, nil), do: headers
defp maybe_put_header(headers, key, value), do: Map.put(headers, key, value)
defp decode_json_list(nil), do: []
defp decode_json_list(value), do: Jason.decode!(value)
end