From fd6dd269441613c803b6cb3207b27168f7f9ffb0 Mon Sep 17 00:00:00 2001 From: Ken Jiang Date: Thu, 5 Feb 2026 21:04:55 -0500 Subject: [PATCH] support anthropic for user content array input --- .../src/requests_expected_differences.json | 14 + .../lingua/src/providers/anthropic/adapter.rs | 20 +- payloads/cases/advanced.ts | 69 + .../anthropic/followup-request.json | 29 + .../followup-response-streaming.json | 798 +++ .../anthropic/followup-response.json | 26 + .../anthropic/request.json | 16 + .../anthropic/response-streaming.json | 702 ++ .../anthropic/response.json | 26 + .../chat-completions/followup-request.json | 29 + .../followup-response-streaming.json | 5740 +++++++++++++++++ .../chat-completions/followup-response.json | 36 + .../chat-completions/request.json | 19 + .../chat-completions/response-streaming.json | 3175 +++++++++ .../chat-completions/response.json | 36 + .../google/followup-request.json | 38 + .../google/followup-response-streaming.json | 179 + .../google/followup-response.json | 45 + .../google/request.json | 22 + .../google/response-streaming.json | 47 + .../google/response.json | 45 + .../responses/request.json | 11 + .../responses/response-streaming.json | 181 + .../responses/response.json | 65 + 24 files changed, 11363 insertions(+), 5 deletions(-) create mode 100644 payloads/snapshots/systemMessageArrayContent/anthropic/followup-request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/anthropic/followup-response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/anthropic/followup-response.json create mode 100644 payloads/snapshots/systemMessageArrayContent/anthropic/request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/anthropic/response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/anthropic/response.json create mode 100644 payloads/snapshots/systemMessageArrayContent/chat-completions/followup-request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/chat-completions/followup-response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/chat-completions/followup-response.json create mode 100644 payloads/snapshots/systemMessageArrayContent/chat-completions/request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/chat-completions/response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/chat-completions/response.json create mode 100644 payloads/snapshots/systemMessageArrayContent/google/followup-request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/google/followup-response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/google/followup-response.json create mode 100644 payloads/snapshots/systemMessageArrayContent/google/request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/google/response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/google/response.json create mode 100644 payloads/snapshots/systemMessageArrayContent/responses/request.json create mode 100644 payloads/snapshots/systemMessageArrayContent/responses/response-streaming.json create mode 100644 payloads/snapshots/systemMessageArrayContent/responses/response.json diff --git a/crates/coverage-report/src/requests_expected_differences.json b/crates/coverage-report/src/requests_expected_differences.json index b45c30fb..7b59ca22 100644 --- a/crates/coverage-report/src/requests_expected_differences.json +++ b/crates/coverage-report/src/requests_expected_differences.json @@ -218,6 +218,20 @@ "skip": true, "reason": "Anthropic extracts system messages to separate system parameter" }, + { + "testCase": "systemMessageArrayContent", + "source": "ChatCompletions", + "target": "Anthropic", + "skip": true, + "reason": "Anthropic extracts system messages to separate system parameter" + }, + { + "testCase": "systemMessageArrayContent", + "source": "Responses", + "target": "Anthropic", + "skip": true, + "reason": "Anthropic extracts system messages to separate system parameter" + }, { "testCase": "multimodalRequest", "source": "Responses", diff --git a/crates/lingua/src/providers/anthropic/adapter.rs b/crates/lingua/src/providers/anthropic/adapter.rs index 1c5cb87e..4e8de28b 100644 --- a/crates/lingua/src/providers/anthropic/adapter.rs +++ b/crates/lingua/src/providers/anthropic/adapter.rs @@ -17,7 +17,7 @@ use crate::providers::anthropic::params::AnthropicParams; use crate::providers::anthropic::try_parse_anthropic; use crate::serde_json::{self, Map, Value}; use crate::universal::convert::TryFromLLM; -use crate::universal::message::{Message, UserContent}; +use crate::universal::message::{Message, UserContent, UserContentPart}; use crate::universal::tools::{tools_to_anthropic_value, UniversalTool}; use crate::universal::transform::extract_system_messages; use crate::universal::{ @@ -147,10 +147,20 @@ impl ProviderAdapter for AnthropicAdapter { // Add system message if present if !system_contents.is_empty() { let system_text: String = system_contents - .iter() - .filter_map(|c| match c { - UserContent::String(s) => Some(s.as_str()), - _ => None, + .into_iter() + .map(|c| match c { + UserContent::String(s) => s, + UserContent::Array(parts) => parts + .into_iter() + .filter_map(|p| { + if let UserContentPart::Text(t) = p { + Some(t.text) + } else { + None + } + }) + .collect::>() + .join("\n"), }) .collect::>() .join("\n\n"); diff --git a/payloads/cases/advanced.ts b/payloads/cases/advanced.ts index 2ea18699..ca0d3c88 100644 --- a/payloads/cases/advanced.ts +++ b/payloads/cases/advanced.ts @@ -395,4 +395,73 @@ export const advancedCases: TestCaseCollection = { }, }, }, + + systemMessageArrayContent: { + "chat-completions": { + model: OPENAI_CHAT_COMPLETIONS_MODEL, + messages: [ + { + role: "system", + content: [ + { + type: "text", + text: "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + }, + ], + }, + { + role: "user", + content: "What errors occurred recently?", + }, + ], + max_completion_tokens: 300, + }, + responses: { + model: OPENAI_RESPONSES_MODEL, + instructions: + "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + input: [ + { + role: "user", + content: "What errors occurred recently?", + }, + ], + max_output_tokens: 300, + }, + anthropic: { + model: ANTHROPIC_MODEL, + max_tokens: 300, + system: [ + { + type: "text", + text: "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + }, + ], + messages: [ + { + role: "user", + content: "What errors occurred recently?", + }, + ], + }, + google: { + systemInstruction: { + parts: [ + { + text: "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + }, + ], + }, + contents: [ + { + role: "user", + parts: [{ text: "What errors occurred recently?" }], + }, + ], + config: { + maxOutputTokens: 300, + }, + }, + bedrock: null, + }, }; diff --git a/payloads/snapshots/systemMessageArrayContent/anthropic/followup-request.json b/payloads/snapshots/systemMessageArrayContent/anthropic/followup-request.json new file mode 100644 index 00000000..b97d965d --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/anthropic/followup-request.json @@ -0,0 +1,29 @@ +{ + "model": "claude-sonnet-4-20250514", + "max_tokens": 300, + "system": [ + { + "type": "text", + "text": "You are a helpful data analyst. The default data source is project_logs with id abc-123." + } + ], + "messages": [ + { + "role": "user", + "content": "What errors occurred recently?" + }, + { + "role": "assistant", + "content": [ + { + "type": "text", + "text": "I'll help you find recent errors from the project logs. Let me query the data to identify error events.\n\n```sql\nSELECT \n timestamp,\n level,\n message,\n source,\n error_code\nFROM project_logs \nWHERE level IN ('ERROR', 'CRITICAL', 'FATAL')\n AND timestamp >= DATETIME_SUB(CURRENT_TIMESTAMP(), INTERVAL 24 HOURS)\nORDER BY timestamp DESC\nLIMIT 20;\n```\n\nThis query will show:\n- **Recent errors** from the last 24 hours\n- **Error details** including timestamp, severity level, and error messages\n- **Source information** to help identify where errors originated\n- **Error codes** if available\n\nWould you like me to:\n1. Extend the time range (e.g., last week)?\n2. Filter by specific error types or sources?\n3. Group errors by frequency to show the most common issues?\n4. Include additional context like user IDs or request IDs if available?\n\nPlease let me know if you need the query adjusted or if you'd like me to analyze the results in a specific way!" + } + ] + }, + { + "role": "user", + "content": "What should I do next?" + } + ] +} \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/anthropic/followup-response-streaming.json b/payloads/snapshots/systemMessageArrayContent/anthropic/followup-response-streaming.json new file mode 100644 index 00000000..00b5e213 --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/anthropic/followup-response-streaming.json @@ -0,0 +1,798 @@ +[ + { + "type": "message_start", + "message": { + "model": "claude-sonnet-4-20250514", + "id": "msg_01FxniCizr6mz5qxGwZCeXM4", + "type": "message", + "role": "assistant", + "content": [], + "stop_reason": null, + "stop_sequence": null, + "usage": { + "input_tokens": 300, + "cache_creation_input_tokens": 0, + "cache_read_input_tokens": 0, + "cache_creation": { + "ephemeral_5m_input_tokens": 0, + "ephemeral_1h_input_tokens": 0 + }, + "output_tokens": 4, + "service_tier": "standard", + "inference_geo": "not_available" + } + } + }, + { + "type": "content_block_start", + "index": 0, + "content_block": { + "type": "text", + "text": "" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "Based on the error" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " analysis" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": ", here are" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " the" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " recommended" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " next steps:\n\n##" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " Immediate Actions:" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n1. **Execute" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " the query** I" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " provided to" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " see" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " the actual" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " recent" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " errors\n2. **" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "Assess" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " severity" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "** - Look" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " for" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " CRITICAL/" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "FATAL errors first\n3. **" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "Check for" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " patterns** - Are" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " multiple" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " errors related" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " to the" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " same root" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " cause?" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n\n## Once" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " you have" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " the error" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " data" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "," + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " priorit" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "ize by" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": ":" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n\n### " + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "🔴" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " **High" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " Priority**" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n-" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " Errors" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " affecting" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " user" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "-" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "facing features" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n- Database" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " connectivity issues\n- Authentication" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "/security" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " errors" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n- Payment" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " processing failures" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n\n### 🟡 **Medium" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " Priority**" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " \n- Performance" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " degrad" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "ation warnings" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n- Third" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "-party service time" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "outs\n- Non" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "-critical feature" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " failures\n\n### 🟢 " + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "**Low Priority**\n- Logging" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "/" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "monitoring issues" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n- Deprecated" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " feature" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " warnings" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n\n## Suggested" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " follow" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "-up queries" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": ":\n\n```" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "sql\n-- Get" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " error" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " frequency" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " by type" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\nSELECT " + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n error_code" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": ",\n COUNT(*) as error" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "_count,\n MIN" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "(timestamp) as first_seen" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": ",\n MAX(timestamp) as" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " last_seen\nFROM project_logs" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " " + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\nWHERE level =" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " 'ERROR'" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " \n AND timestamp >= DATETIME" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "_SUB(CURRENT_" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "TIMESTAMP(), INTERVAL 7" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " " + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "DAYS)\nGROUP BY error_code" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\nORDER BY error_count DESC;" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": "\n```\n\nWould" + } + }, + { + "type": "content_block_delta", + "index": 0, + "delta": { + "type": "text_delta", + "text": " you like me to run" + } + }, + { + "type": "content_block_stop", + "index": 0 + }, + { + "type": "message_delta", + "delta": { + "stop_reason": "max_tokens", + "stop_sequence": null + }, + "usage": { + "input_tokens": 300, + "cache_creation_input_tokens": 0, + "cache_read_input_tokens": 0, + "output_tokens": 300 + } + }, + { + "type": "message_stop" + } +] \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/anthropic/followup-response.json b/payloads/snapshots/systemMessageArrayContent/anthropic/followup-response.json new file mode 100644 index 00000000..1a66569d --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/anthropic/followup-response.json @@ -0,0 +1,26 @@ +{ + "model": "claude-sonnet-4-20250514", + "id": "msg_01UmB7kcxnpXZMkKcCcm6VHZ", + "type": "message", + "role": "assistant", + "content": [ + { + "type": "text", + "text": "Based on the error analysis I just queried, here are the recommended next steps:\n\n## Immediate Actions:\n1. **Run the query** to see the actual error results\n2. **Prioritize by severity** - Focus on CRITICAL/FATAL errors first\n3. **Check for patterns** - Look for:\n - Repeated error messages\n - Errors from the same source/component\n - Time-based clustering (outages, deployments)\n\n## Follow-up Analysis:\n```sql\n-- Get error frequency by type\nSELECT \n message,\n COUNT(*) as error_count,\n MIN(timestamp) as first_occurrence,\n MAX(timestamp) as last_occurrence\nFROM project_logs \nWHERE level IN ('ERROR', 'CRITICAL', 'FATAL')\n AND timestamp >= DATETIME_SUB(CURRENT_TIMESTAMP(), INTERVAL 24 HOURS)\nGROUP BY message\nORDER BY error_count DESC;\n```\n\n## Next Steps Depending on Results:\n\n**If you find errors:**\n- Investigate the most frequent error types first\n- Check system metrics around error spike times\n- Review recent deployments or configuration changes\n- Set up alerts for critical error patterns\n\n**If no recent errors:**\n- Extend the time range to check for trends\n- Review warning-level logs for potential issues" + } + ], + "stop_reason": "max_tokens", + "stop_sequence": null, + "usage": { + "input_tokens": 300, + "cache_creation_input_tokens": 0, + "cache_read_input_tokens": 0, + "cache_creation": { + "ephemeral_5m_input_tokens": 0, + 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Let me query the data to identify error events.\n\n```sql\nSELECT \n timestamp,\n level,\n message,\n source,\n error_code\nFROM project_logs \nWHERE level IN ('ERROR', 'CRITICAL', 'FATAL')\n AND timestamp >= DATETIME_SUB(CURRENT_TIMESTAMP(), INTERVAL 24 HOURS)\nORDER BY timestamp DESC\nLIMIT 20;\n```\n\nThis query will show:\n- **Recent errors** from the last 24 hours\n- **Error details** including timestamp, severity level, and error messages\n- **Source information** to help identify where errors originated\n- **Error codes** if available\n\nWould you like me to:\n1. Extend the time range (e.g., last week)?\n2. Filter by specific error types or sources?\n3. Group errors by frequency to show the most common issues?\n4. Include additional context like user IDs or request IDs if available?\n\nPlease let me know if you need the query adjusted or if you'd like me to analyze the results in a specific way!" + } + ], + "stop_reason": "end_turn", + "stop_sequence": null, + "usage": { + "input_tokens": 33, + "cache_creation_input_tokens": 0, + "cache_read_input_tokens": 0, + "cache_creation": { + "ephemeral_5m_input_tokens": 0, + "ephemeral_1h_input_tokens": 0 + }, + "output_tokens": 258, + "service_tier": "standard", + "inference_geo": "not_available" + } +} \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/chat-completions/followup-request.json b/payloads/snapshots/systemMessageArrayContent/chat-completions/followup-request.json new file mode 100644 index 00000000..755477e1 --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/chat-completions/followup-request.json @@ -0,0 +1,29 @@ +{ + "model": "gpt-4o-mini", + "messages": [ + { + "role": "system", + "content": [ + { + "type": "text", + "text": "You are a helpful data analyst. The default data source is project_logs with id abc-123." + } + ] + }, + { + "role": "user", + "content": "What errors occurred recently?" + }, + { + "role": "assistant", + "content": "To provide information on recent errors from the project_logs (id abc-123), I would typically query the data for entries marked as errors in the last few days or weeks. Unfortunately, I don’t have direct access to the data source to perform queries. \n\nYou can check for recent errors by looking for entries with an \"error\" status or keyword in your project_logs. 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The default data source is project_logs with id abc-123." + } + ] + }, + "contents": [ + { + "role": "user", + "parts": [ + { + "text": "What errors occurred recently?" + } + ] + } + ], + "config": { + "maxOutputTokens": 300 + } +} \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/google/response-streaming.json b/payloads/snapshots/systemMessageArrayContent/google/response-streaming.json new file mode 100644 index 00000000..06381cd7 --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/google/response-streaming.json @@ -0,0 +1,47 @@ +[ + { + "candidates": [ + { + "content": { + "parts": [ + { + "text": "To find errors that occurred recently, I'll query" + } + ], + "role": "model" + }, + "finishReason": "MAX_TOKENS", + "index": 0 + } + ], + "modelVersion": "gemini-2.5-flash", + "responseId": "Q0qFaZyzA76o_uMP_tm1oA8", + "usageMetadata": { + "promptTokenCount": 29, + "candidatesTokenCount": 11, + "totalTokenCount": 325, + "promptTokensDetails": [ + { + "modality": "TEXT", + "tokenCount": 29 + } + ], + "thoughtsTokenCount": 285 + }, + "sdkHttpResponse": { + "headers": { + "alt-svc": "h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000", + "content-disposition": "attachment", + "content-type": "text/event-stream", + "date": "Fri, 06 Feb 2026 01:56:20 GMT", + "server": "scaffolding on HTTPServer2", + "server-timing": "gfet4t7; dur=1906", + "transfer-encoding": "chunked", + "vary": "Origin, X-Origin, Referer", + "x-content-type-options": "nosniff", + "x-frame-options": "SAMEORIGIN", + "x-xss-protection": "0" + } + } + } +] \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/google/response.json b/payloads/snapshots/systemMessageArrayContent/google/response.json new file mode 100644 index 00000000..c628c43e --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/google/response.json @@ -0,0 +1,45 @@ +{ + "sdkHttpResponse": { + "headers": { + "alt-svc": "h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000", + "content-encoding": "gzip", + "content-type": "application/json; charset=UTF-8", + "date": "Fri, 06 Feb 2026 01:56:20 GMT", + "server": "scaffolding on HTTPServer2", + "server-timing": "gfet4t7; dur=1519", + "transfer-encoding": "chunked", + "vary": "Origin, X-Origin, Referer", + "x-content-type-options": "nosniff", + "x-frame-options": "SAMEORIGIN", + "x-xss-protection": "0" + } + }, + "candidates": [ + { + "content": { + "parts": [ + { + "text": "I can help with that! I'll query the `" + } + ], + "role": "model" + }, + "finishReason": "MAX_TOKENS", + "index": 0 + } + ], + "modelVersion": "gemini-2.5-flash", + "responseId": "REqFaYaWDd7S_uMPppansQ0", + "usageMetadata": { + "promptTokenCount": 29, + "candidatesTokenCount": 12, + "totalTokenCount": 325, + "promptTokensDetails": [ + { + "modality": "TEXT", + "tokenCount": 29 + } + ], + "thoughtsTokenCount": 284 + } +} \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/responses/request.json b/payloads/snapshots/systemMessageArrayContent/responses/request.json new file mode 100644 index 00000000..ca94c558 --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/responses/request.json @@ -0,0 +1,11 @@ +{ + "model": "gpt-5-nano", + "instructions": "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + "input": [ + { + "role": "user", + "content": "What errors occurred recently?" + } + ], + "max_output_tokens": 300 +} \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/responses/response-streaming.json b/payloads/snapshots/systemMessageArrayContent/responses/response-streaming.json new file mode 100644 index 00000000..5e7e76a5 --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/responses/response-streaming.json @@ -0,0 +1,181 @@ +[ + { + "type": "response.created", + "response": { + "id": "resp_081cf5ae9aef142f0069854a42c9a481a0ad8df1f788d42c05", + "object": "response", + "created_at": 1770342978, + "status": "in_progress", + "background": false, + "completed_at": null, + "error": null, + "frequency_penalty": 0, + "incomplete_details": null, + "instructions": "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + "max_output_tokens": 300, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "output": [], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": null, + "prompt_cache_retention": null, + "reasoning": { + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "auto", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": null, + "user": null, + "metadata": {} + }, + "sequence_number": 0 + }, + { + "type": "response.in_progress", + "response": { + "id": "resp_081cf5ae9aef142f0069854a42c9a481a0ad8df1f788d42c05", + "object": "response", + "created_at": 1770342978, + "status": "in_progress", + "background": false, + "completed_at": null, + "error": null, + "frequency_penalty": 0, + "incomplete_details": null, + "instructions": "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + "max_output_tokens": 300, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "output": [], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": null, + "prompt_cache_retention": null, + "reasoning": { + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "auto", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": null, + "user": null, + "metadata": {} + }, + "sequence_number": 1 + }, + { + "type": "response.output_item.added", + "item": { + "id": "rs_081cf5ae9aef142f0069854a43096481a09b561ecba4487c94", + "type": "reasoning", + "summary": [] + }, + "output_index": 0, + "sequence_number": 2 + }, + { + "type": "response.output_item.done", + "item": { + "id": "rs_081cf5ae9aef142f0069854a43096481a09b561ecba4487c94", + "type": "reasoning", + "summary": [] + }, + "output_index": 0, + "sequence_number": 3 + }, + { + "type": "response.incomplete", + "response": { + "id": "resp_081cf5ae9aef142f0069854a42c9a481a0ad8df1f788d42c05", + "object": "response", + "created_at": 1770342978, + "status": "incomplete", + "background": false, + "completed_at": null, + "error": null, + "frequency_penalty": 0, + "incomplete_details": { + "reason": "max_output_tokens" + }, + "instructions": "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + "max_output_tokens": 300, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "output": [ + { + "id": "rs_081cf5ae9aef142f0069854a43096481a09b561ecba4487c94", + "type": "reasoning", + "summary": [] + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": null, + "prompt_cache_retention": null, + "reasoning": { + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 35, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 256, + "output_tokens_details": { + "reasoning_tokens": 256 + }, + "total_tokens": 291 + }, + "user": null, + "metadata": {} + }, + "sequence_number": 4 + } +] \ No newline at end of file diff --git a/payloads/snapshots/systemMessageArrayContent/responses/response.json b/payloads/snapshots/systemMessageArrayContent/responses/response.json new file mode 100644 index 00000000..bdfbffce --- /dev/null +++ b/payloads/snapshots/systemMessageArrayContent/responses/response.json @@ -0,0 +1,65 @@ +{ + "id": "resp_00702b63501d070d0069854a42de80819cb08bb924e1552dd0", + "object": "response", + "created_at": 1770342978, + "status": "incomplete", + "background": false, + "billing": { + "payer": "developer" + }, + "completed_at": null, + "error": null, + "frequency_penalty": 0, + "incomplete_details": { + "reason": "max_output_tokens" + }, + "instructions": "You are a helpful data analyst. The default data source is project_logs with id abc-123.", + "max_output_tokens": 300, + "max_tool_calls": null, + "model": "gpt-5-nano-2025-08-07", + "output": [ + { + "id": "rs_00702b63501d070d0069854a43203c819caf8f2c929dc9f8b7", + "type": "reasoning", + "summary": [] + } + ], + "parallel_tool_calls": true, + "presence_penalty": 0, + "previous_response_id": null, + "prompt_cache_key": null, + "prompt_cache_retention": null, + "reasoning": { + "effort": "medium", + "summary": null + }, + "safety_identifier": null, + "service_tier": "default", + "store": true, + "temperature": 1, + "text": { + "format": { + "type": "text" + }, + "verbosity": "medium" + }, + "tool_choice": "auto", + "tools": [], + "top_logprobs": 0, + "top_p": 1, + "truncation": "disabled", + "usage": { + "input_tokens": 35, + "input_tokens_details": { + "cached_tokens": 0 + }, + "output_tokens": 256, + "output_tokens_details": { + "reasoning_tokens": 256 + }, + "total_tokens": 291 + }, + "user": null, + "metadata": {}, + "output_text": "" +} \ No newline at end of file