diff --git a/lib/instructor.ex b/lib/instructor.ex index 48d6d3d..9949518 100644 --- a/lib/instructor.ex +++ b/lib/instructor.ex @@ -32,6 +32,8 @@ defmodule Instructor do * `:mode` - The mode to use when parsing the response, :tools, :json, :md_json (defaults to `:tools`), generally speaking you don't need to change this unless you are not using OpenAI. * `:max_retries` - The maximum number of times to retry the LLM call if it fails, or does not pass validations. (defaults to `0`) + * `:before_request` - An optional callback function, to run just before passing a request to the LLM, useful for debugging. + * `:after_response` - An optional callback function to run after receiving a response from the LLM, and before processing the response, useful for debugging. ## Examples diff --git a/lib/instructor/adapters/llamacpp.ex b/lib/instructor/adapters/llamacpp.ex index 8c30214..0ddb4c9 100644 --- a/lib/instructor/adapters/llamacpp.ex +++ b/lib/instructor/adapters/llamacpp.ex @@ -34,6 +34,8 @@ defmodule Instructor.Adapters.Llamacpp do def chat_completion(params, _config \\ nil) do {response_model, _} = Keyword.pop!(params, :response_model) {messages, _} = Keyword.pop!(params, :messages) + {before_request, params} = Keyword.pop(params, :before_request) + {after_response, params} = Keyword.pop(params, :after_response) json_schema = JSONSchema.from_ecto_schema(response_model) grammar = GBNF.from_json_schema(json_schema) @@ -41,31 +43,42 @@ defmodule Instructor.Adapters.Llamacpp do stream = Keyword.get(params, :stream, false) if stream do - do_streaming_chat_completion(prompt, grammar) + do_streaming_chat_completion(prompt, grammar, before_request, after_response) else - do_chat_completion(prompt, grammar) + do_chat_completion(prompt, grammar, before_request, after_response) end end - defp do_streaming_chat_completion(prompt, grammar) do + defp do_streaming_chat_completion(prompt, grammar, before_request, after_response) do pid = self() Stream.resource( fn -> Task.async(fn -> - Req.post(url(), - json: %{ - grammar: grammar, - prompt: prompt, - stream: true - }, - receive_timeout: 60_000, - into: fn {:data, data}, {req, resp} -> - send(pid, data) - {:cont, {req, resp}} - end - ) - + req = + Req.new( + url: url(), + json: %{ + grammar: grammar, + prompt: prompt, + stream: true + }, + receive_timeout: 60_000, + into: fn {:data, data}, {req, resp} -> + if is_function(after_response) do + after_response.({{:data, data}, {req, resp}}) + end + + send(pid, data) + {:cont, {req, resp}} + end + ) + + if is_function(before_request) do + before_request.(req) + end + + Req.post(req) send(pid, :done) end) end, @@ -94,9 +107,10 @@ defmodule Instructor.Adapters.Llamacpp do } end - defp do_chat_completion(prompt, grammar) do - response = - Req.post(url(), + defp do_chat_completion(prompt, grammar, before_request, after_response) do + req = + Req.new( + url: url(), json: %{ grammar: grammar, prompt: prompt @@ -104,6 +118,16 @@ defmodule Instructor.Adapters.Llamacpp do receive_timeout: 60_000 ) + if is_function(before_request) do + before_request.(req) + end + + response = Req.post(req) + + if is_function(after_response) do + after_response.(response) + end + case response do {:ok, %{status: 200, body: %{"content" => params}}} -> {:ok, to_openai_response(params)} diff --git a/lib/instructor/adapters/openai.ex b/lib/instructor/adapters/openai.ex index c752e6d..9d82753 100644 --- a/lib/instructor/adapters/openai.ex +++ b/lib/instructor/adapters/openai.ex @@ -13,17 +13,19 @@ defmodule Instructor.Adapters.OpenAI do {_, params} = Keyword.pop(params, :validation_context) {_, params} = Keyword.pop(params, :max_retries) {_, params} = Keyword.pop(params, :mode) + {before_request, params} = Keyword.pop(params, :before_request) + {after_response, params} = Keyword.pop(params, :after_response) stream = Keyword.get(params, :stream, false) params = Enum.into(params, %{}) if stream do - do_streaming_chat_completion(params, config) + do_streaming_chat_completion(params, config, before_request, after_response) else - do_chat_completion(params, config) + do_chat_completion(params, config, before_request, after_response) end end - defp do_streaming_chat_completion(params, config) do + defp do_streaming_chat_completion(params, config, before_request, after_response) do pid = self() options = http_options(config) @@ -35,6 +37,10 @@ defmodule Instructor.Adapters.OpenAI do json: params, auth: {:bearer, api_key(config)}, into: fn {:data, data}, {req, resp} -> + if is_function(after_response) do + after_response.({{:data, data}, {req, resp}}) + end + chunks = data |> String.split("\n") @@ -55,7 +61,13 @@ defmodule Instructor.Adapters.OpenAI do end ) - Req.post(url(config), options) + req = Req.new([url: url(config)] ++ options) + + if is_function(before_request) do + before_request.(req) + end + + Req.post(req) send(pid, :done) end) end, @@ -75,10 +87,21 @@ defmodule Instructor.Adapters.OpenAI do ) end - defp do_chat_completion(params, config) do + defp do_chat_completion(params, config, before_request, after_response) do options = Keyword.merge(http_options(config), json: params, auth: {:bearer, api_key(config)}) + req = Req.new([url: url(config)] ++ options) + + if is_function(before_request) do + before_request.(req) + end + + response = Req.post(req) + + if is_function(after_response) do + after_response.(response) + end - case Req.post(url(config), options) do + case response do {:ok, %{status: 200, body: body}} -> {:ok, body} {:ok, %{status: status}} -> {:error, "Unexpected HTTP response code: #{status}"} {:error, reason} -> {:error, reason} diff --git a/pages/quickstart.livemd b/pages/quickstart.livemd index a9e9707..807d9a4 100644 --- a/pages/quickstart.livemd +++ b/pages/quickstart.livemd @@ -95,8 +95,8 @@ Instructor.chat_completion( last_name: "Biden", offices_held: [ %Politician.Office{office: :president, from_date: ~D[2021-01-20], to_date: nil}, - %Politician.Office{office: :vice_president, from_date: ~D[2009-01-20], to_date: ~D[2017-01-20]}, - %Politician.Office{office: :senate, from_date: ~D[1973-01-03], to_date: ~D[2009-01-15]} + %Politician.Office{office: :vice_president, from_date: ~D[2009-01-20], to_date: nil}, + %Politician.Office{office: :senate, from_date: ~D[1973-01-03], to_date: nil} ] }} ``` @@ -195,7 +195,6 @@ Instructor.chat_completion( ``` - 10:30:03.764 [debug] Retrying LLM call for NumberSeries: "series - The sum of the series must be even\nseries - should have at least 10 item(s)" @@ -203,7 +202,6 @@ Instructor.chat_completion( 10:30:04.794 [debug] Retrying LLM call for NumberSeries: "series - The sum of the series must be even" - ``` @@ -258,7 +256,7 @@ end #Ecto.Changeset< action: nil, changes: %{question: "What is the meaning of life?", answer: "Sex, drugs, and rock'n roll"}, - errors: [answer: {"is invalid, Do not say anything objectionable", []}], + errors: [answer: {"is invalid, Contains objectionable content", []}], data: #QuestionAnswer<>, valid?: false > @@ -511,4 +509,351 @@ Instructor.chat_completion( And just like that, you can extend Instructor to get the LLM to return whatever you want. - + + +## Debugging + +When you need more insight into what's happenning under the hood, you can specfy a callback to run just before a request is sent to an LLM, or just after receiving a response. This can be useful for debugging, or tracking token usage, etc. + +```elixir +Instructor.chat_completion( + model: "gpt-3.5-turbo", + response_model: Politician, + messages: [ + %{ + role: "user", + content: + "Who won the American 2020 election and what offices have they held over their career?" + } + ], + before_request: &IO.inspect/1, + after_response: &IO.inspect/1 +) +``` + + + +``` +%Req.Request{ + method: :get, + url: URI.parse("https://api.openai.com/v1/chat/completions"), + headers: %{}, + body: nil, + options: %{ + auth: {:bearer, "[redacted]"}, + receive_timeout: 60000, + json: %{ + messages: [ + %{ + content: "As a genius expert, your task is to understand the content and provide the parsed objects in json that match the following json_schema:\n\n{\"type\":\"object\",\"description\":\"A description of United States Politicians and the offices that they held,\\n\\n## Fields:\\n- first_name: Their first name\\n- last_name: Their last name\\n- offices_held:\\n - office: The branch and position in government they served in\\n - from_date: When they entered office or null\\n - until_date: The date they left office or null\\n\",\"title\":\"Politician\",\"required\":[\"first_name\",\"last_name\",\"offices_held\"],\"properties\":{\"first_name\":{\"type\":\"string\",\"title\":\"first_name\"},\"last_name\":{\"type\":\"string\",\"title\":\"last_name\"},\"offices_held\":{\"type\":\"array\",\"title\":\"Politician.Office\",\"items\":{\"$ref\":\"#/$defs/Politician.Office\"}}},\"$defs\":{\"Politician.Office\":{\"type\":\"object\",\"description\":\"\",\"title\":\"Politician.Office\",\"required\":[\"from_date\",\"office\",\"to_date\"],\"properties\":{\"office\":{\"type\":\"string\",\"enum\":[\"president\",\"vice_president\",\"governor\",\"congress\",\"senate\"],\"title\":\"office\"},\"from_date\":{\"type\":\"string\",\"format\":\"date\",\"title\":\"from_date\"},\"to_date\":{\"type\":\"string\",\"format\":\"date\",\"title\":\"to_date\"}}}}}\n\n\nHere are some more definitions to adhere too:\n{\"Politician.Office\":{\"description\":\"\",\"properties\":{\"from_date\":{\"format\":\"date\",\"title\":\"from_date\",\"type\":\"string\"},\"office\":{\"enum\":[\"president\",\"vice_president\",\"governor\",\"congress\",\"senate\"],\"title\":\"office\",\"type\":\"string\"},\"to_date\":{\"format\":\"date\",\"title\":\"to_date\",\"type\":\"string\"}},\"required\":[\"from_date\",\"office\",\"to_date\"],\"title\":\"Politician.Office\",\"type\":\"object\"}}\n", + role: "system" + }, + %{ + content: "Who won the American 2020 election and what offices have they held over their career?", + role: "user" + } + ], + tools: [ + %{ + function: %{ + "description" => "Correctly extracted `Schema` with all the required parameters with correct types", + "name" => "Schema", + "parameters" => %{ + "$defs" => %{ + "Politician.Office" => %{ + "description" => "", + "properties" => %{ + "from_date" => %{ + "format" => "date", + "title" => "from_date", + "type" => "string" + }, + "office" => %{ + "enum" => ["president", "vice_president", "governor", + "congress", "senate"], + "title" => "office", + "type" => "string" + }, + "to_date" => %{ + "format" => "date", + "title" => "to_date", + "type" => "string" + } + }, + "required" => ["from_date", "office", "to_date"], + "title" => "Politician.Office", + "type" => "object" + } + }, + "description" => "A description of United States Politicians and the offices that they held,\n\n## Fields:\n- first_name: Their first name\n- last_name: Their last name\n- offices_held:\n - office: The branch and position in government they served in\n - from_date: When they entered office or null\n - until_date: The date they left office or null\n", + "properties" => %{ + "first_name" => %{"title" => "first_name", "type" => "string"}, + "last_name" => %{"title" => "last_name", "type" => "string"}, + "offices_held" => %{ + "items" => %{"$ref" => "#/$defs/Politician.Office"}, + "title" => "Politician.Office", + "type" => "array" + } + }, + "required" => ["first_name", "last_name", "offices_held"], + "title" => "Politician", + "type" => "object" + } + }, + type: "function" + } + ], + model: "gpt-3.5-turbo", + tool_choice: %{function: %{name: "Schema"}, type: "function"} + } + }, + registered_options: MapSet.new([:finch_request, :json, :form, :compress_body, + :http_errors, :receive_timeout, :follow_redirects, :range, :pool_timeout, + :cache_dir, :compressed, :finch, :retry, :decode_json, :auth, :path_params, + :params, :connect_options, :max_retries, :redirect_log_level, :redact_auth, + :checksum, :decode_body, :finch_private, :cache, :inet6, :retry_log_level, + :redirect_trusted, :redirect, :retry_delay, :user_agent, :output, + :max_redirects, :plug, :raw, :base_url, :location_trusted, :unix_socket, + :aws_sigv4]), + halted: false, + adapter: &Req.Steps.run_finch/1, + request_steps: [ + put_user_agent: &Req.Steps.put_user_agent/1, + compressed: &Req.Steps.compressed/1, + encode_body: &Req.Steps.encode_body/1, + put_base_url: &Req.Steps.put_base_url/1, + auth: &Req.Steps.auth/1, + put_params: &Req.Steps.put_params/1, + put_path_params: &Req.Steps.put_path_params/1, + put_range: &Req.Steps.put_range/1, + cache: &Req.Steps.cache/1, + put_plug: &Req.Steps.put_plug/1, + compress_body: &Req.Steps.compress_body/1, + checksum: &Req.Steps.checksum/1, + put_aws_sigv4: &Req.Steps.put_aws_sigv4/1 + ], + response_steps: [ + retry: &Req.Steps.retry/1, + redirect: &Req.Steps.redirect/1, + verify_checksum: &Req.Steps.verify_checksum/1, + decompress_body: &Req.Steps.decompress_body/1, + decode_body: &Req.Steps.decode_body/1, + handle_http_errors: &Req.Steps.handle_http_errors/1, + output: &Req.Steps.output/1 + ], + error_steps: [retry: &Req.Steps.retry/1], + private: %{} +} +%Req.Response{ + status: 200, + headers: %{ + "access-control-allow-origin" => ["*"], + "alt-svc" => ["h3=\":443\"; ma=86400"], + "cache-control" => ["no-cache, must-revalidate"], + "cf-cache-status" => ["DYNAMIC"], + "cf-ray" => ["8783ef641bef3eb1-CPT"], + "connection" => ["keep-alive"], + "content-type" => ["application/json"], + "date" => ["Mon, 22 Apr 2024 07:35:08 GMT"], + "openai-model" => ["gpt-3.5-turbo-0125"], + "openai-organization" => ["swizzl-ai"], + "openai-processing-ms" => ["2094"], + "openai-version" => ["2020-10-01"], + "server" => ["cloudflare"], + "set-cookie" => ["__cf_bm=m8eagj16Fzia.h4ygE2iLe.kyLrhaUi_ZegnsYThd_k-1713771308-1.0.1.1-Do.pAoPZ9_GM2Ois_FAmoajAxbX_EIRESWZEkTtRO57r5jKXeJYqvmihfBz3nS2Ama0k9iSKkglow.SlpRhlVA; path=/; expires=Mon, 22-Apr-24 08:05:08 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None", + "_cfuvid=657ngl.MyXWfyLZiRVTtxLbcHRojlmRXCXWlo.GuUXo-1713771308020-0.0.1.1-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None"], + "strict-transport-security" => ["max-age=15724800; includeSubDomains"], + "transfer-encoding" => ["chunked"], + "x-ratelimit-limit-requests" => ["10000"], + "x-ratelimit-limit-tokens" => ["1000000"], + "x-ratelimit-remaining-requests" => ["9999"], + "x-ratelimit-remaining-tokens" => ["999552"], + "x-ratelimit-reset-requests" => ["6ms"], + "x-ratelimit-reset-tokens" => ["26ms"], + "x-request-id" => ["req_871fd82627d356a7663fd0621505fefb"] + }, + body: %{ + "choices" => [ + %{ + "finish_reason" => "stop", + "index" => 0, + "logprobs" => nil, + "message" => %{ + "content" => nil, + "role" => "assistant", + "tool_calls" => [ + %{ + "function" => %{ + "arguments" => "{\"first_name\":\"Joe\",\"last_name\":\"Biden\",\"offices_held\":[{\"office\":\"president\",\"from_date\":\"2021-01-20\",\"to_date\":null},{\"office\":\"vice_president\",\"from_date\":\"2009-01-20\",\"to_date\":\"2017-01-20\"},{\"office\":\"senate\",\"from_date\":\"1973-01-03\",\"to_date\":\"2009-01-15\"}]}", + "name" => "Schema" + }, + "id" => "call_5o7vrpjN7XhBHsNRQnlo4ShX", + "type" => "function" + } + ] + } + } + ], + "created" => 1713771306, + "id" => "chatcmpl-9GiUc6dwyfPiRmkRed79MTIuuVNnR", + "model" => "gpt-3.5-turbo-0125", + "object" => "chat.completion", + "system_fingerprint" => "fp_c2295e73ad", + "usage" => %{ + "completion_tokens" => 89, + "prompt_tokens" => 645, + "total_tokens" => 734 + } + }, + trailers: %{}, + private: %{} +} +``` + + + +``` +{:ok, + %Politician{ + first_name: "Joe", + last_name: "Biden", + offices_held: [ + %Politician.Office{office: :president, from_date: ~D[2021-01-20], to_date: nil}, + %Politician.Office{office: :vice_president, from_date: ~D[2009-01-20], to_date: ~D[2017-01-20]}, + %Politician.Office{office: :senate, from_date: ~D[1973-01-03], to_date: ~D[2009-01-15]} + ] + }} +``` + +These callbacks receive the request / response structs as a single argument, except when using streaming: then the `after_response` callback recieves the incoming data chunk, as well as the latest version of the request & response structs. + +```elixir +presidents_stream = + Instructor.chat_completion( + model: "gpt-3.5-turbo", + stream: true, + response_model: {:array, Politician}, + messages: [ + %{role: "user", content: "Who are the first 5 presidents of the United States?"} + ], + after_response: fn {{:data, data}, {_req, _resp}} -> IO.inspect(data) end + ) + |> Stream.run() +``` + + + +``` +"data: {\"id\":\"chatcmpl-9GibnRlQ8RCGvuEMwjru7BF6azBTx\",\"object\":\"chat.completion.chunk\",\"created\":1713771751,\"model\":\"gpt-3.5-turbo-0125\",\"system_fingerprint\":\"fp_c2295e73ad\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":null,\"tool_calls\":[{\"index\":0,\"id\":\"call_7Z4wUDv9k8EQrwccw5Swrvpx\",\"type\":\"function\",\"function\":{\"name\":\"Schema\",\"arguments\":\"\"}}]},\"logprobs\":null,\"finish_reason\":null}]}\n\n" +"data: 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{\"id\":\"chatcmpl-9GibnRlQ8RCGvuEMwjru7BF6azBTx\",\"object\":\"chat.completion.chunk\",\"created\":1713771751,\"model\":\"gpt-3.5-turbo-0125\",\"system_fingerprint\":\"fp_c2295e73ad\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"]}\"}}]},\"logprobs\":null,\"finish_reason\":null}]}\n\ndata: {\"id\":\"chatcmpl-9GibnRlQ8RCGvuEMwjru7BF6azBTx\",\"object\":\"chat.completion.chunk\",\"created\":1713771751,\"model\":\"gpt-3.5-turbo-0125\",\"system_fingerprint\":\"fp_c2295e73ad\",\"choices\":[{\"index\":0,\"delta\":{\"tool_calls\":[{\"index\":0,\"function\":{\"arguments\":\"]}\"}}]},\"logprobs\":null,\"finish_reason\":null}]}\n\n" +"data: {\"id\":\"chatcmpl-9GibnRlQ8RCGvuEMwjru7BF6azBTx\",\"object\":\"chat.completion.chunk\",\"created\":1713771751,\"model\":\"gpt-3.5-turbo-0125\",\"system_fingerprint\":\"fp_c2295e73ad\",\"choices\":[{\"index\":0,\"delta\":{},\"logprobs\":null,\"finish_reason\":\"stop\"}]}\n\ndata: [DONE]\n\n" +``` + + + +``` +:ok +``` + +