Class: LlmMetaClient::ServerQuery
- Inherits:
-
Object
- Object
- LlmMetaClient::ServerQuery
- Defined in:
- lib/llm_meta_client/server_query.rb
Instance Method Summary collapse
- #call(id_token, api_key_uuid, model_id, context, user_content, tool_ids: [], generation_settings: {}, document: nil, messages: nil) ⇒ Object
-
#stream(id_token, api_key_uuid, model_id, context, user_content, tool_ids: [], generation_settings: {}, image_context: nil, image: nil, images: nil, document: nil, messages: nil) ⇒ Object
Stream LLM responses incrementally.
Instance Method Details
#call(id_token, api_key_uuid, model_id, context, user_content, tool_ids: [], generation_settings: {}, document: nil, messages: nil) ⇒ Object
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# File 'lib/llm_meta_client/server_query.rb', line 74 def call(id_token, api_key_uuid, model_id, context, user_content, tool_ids: [], generation_settings: {}, document: nil, messages: nil) debug_log "Context: #{context}" if .present? prompt_text = user_content.is_a?(Hash) ? (user_content[:prompt] || user_content["prompt"]).to_s : user_content.to_s debug_log "Role-tagged request to LLM: \n===>\n#{prompt_text}\n(with #{.size} prior message(s))\n===>" payload = prompt_text else payload = "Context:#{context}, User Prompt: #{user_content}" debug_log "Request to LLM: \n===>\n#{payload}\n===>" end response = request(api_key_uuid, id_token, model_id, payload, tool_ids, generation_settings, document: document, messages: ) unless response.success? raise Exceptions::ServerError, (response.code.to_i, response.parsed_response) end response_body = response.parsed_response raise Exceptions::InvalidResponseError, "LLM server returned non-JSON response" unless response_body.is_a?(Hash) content = response_body.dig("response", "message") || "" tool_calls = response_body.dig("response", "tool_calls") content = combine_with_tool_calls(content, tool_calls) if tool_calls.is_a?(Array) && tool_calls.any? raise Exceptions::EmptyResponseError, "LLM server returned empty response" if content.blank? debug_log "Response from LLM: \n<===\n#{content}\n<==>" content end |
#stream(id_token, api_key_uuid, model_id, context, user_content, tool_ids: [], generation_settings: {}, image_context: nil, image: nil, images: nil, document: nil, messages: nil) ⇒ Object
Stream LLM responses incrementally. Yields each content delta event ({ event: "message", data: { "delta" => "..." } }) and any tool_calls event ({ event: "tool_calls", data: { "tool_calls" => [...] } }) to the caller's block. Upstream "done" markers are absorbed (end-of-stream is signaled by the block returning); upstream "error" events raise ServerError. Returns the final assistant content. If tool calls fired, the returned string mirrors the synchronous #call format (response + markdown "Tool calls" section appended) so persistence stays consistent.
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# File 'lib/llm_meta_client/server_query.rb', line 15 def stream(id_token, api_key_uuid, model_id, context, user_content, tool_ids: [], generation_settings: {}, image_context: nil, image: nil, images: nil, document: nil, messages: nil) if image_context.present? prompt_text = user_content.is_a?(Hash) ? (user_content[:prompt] || user_content["prompt"]).to_s : user_content.to_s debug_log "Streaming image request to LLM: \n===>\n#{prompt_text}\n(with #{image_context.size} prior turn(s))\n===>" body = { prompt: prompt_text, image_context: image_context } elsif .present? # New (v1.7+) role-tagged wire format. Prior turns travel as a # proper `messages:` array; the current user turn's text is sent as # `prompt`. Callers who use this form should NOT include the # current turn in `messages` — it stays in `prompt` so attachments # (image/document) can attach to it via the existing pipeline. prompt_text = user_content.is_a?(Hash) ? (user_content[:prompt] || user_content["prompt"]).to_s : user_content.to_s debug_log "Streaming role-tagged request to LLM: \n===>\n#{prompt_text}\n(with #{.size} prior message(s))\n===>" body = { prompt: prompt_text, messages: } else context_and_user_content = "Context:#{context}, User Prompt: #{user_content}" debug_log "Streaming request to LLM: \n===>\n#{context_and_user_content}\n===>" body = { prompt: context_and_user_content } end body[:tool_ids] = tool_ids if tool_ids.present? body[:generation_settings] = generation_settings if generation_settings.present? # images: ordered chronologically with the current turn's image last. # Legacy single `image:` is forwarded as a fallback for older callers. if images.present? body[:images] = images elsif image.present? body[:image] = image end # document: single-attachment PDF for the current turn. Server enforces # MIME (application/pdf) and a 10 MB cap; we just forward the payload. body[:document] = document if document.present? assembled = +"" collected_tool_calls = [] request_stream(api_key_uuid, id_token, model_id, body) do |event| case event[:event] when "message" assembled << event[:data]["delta"].to_s yield event if block_given? when "tool_calls" collected_tool_calls = event[:data]["tool_calls"] || [] yield event if block_given? when "thinking" # Thinking-mode deltas (Ollama hybrid models): forwarded to the # caller for live rendering, but NOT folded into `assembled` — # only the final content is persisted as the assistant message. yield event if block_given? when "done" # End-of-stream marker from upstream; no-op here. when "error" raise Exceptions::ServerError, format_stream_error(event[:data]) else yield event if block_given? end end collected_tool_calls.any? ? combine_with_tool_calls(assembled, collected_tool_calls) : assembled end |