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traefik-llmgateway/testdata/anthropic/chat_parallel_tool_results_in.json
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lukaszraczylo 876d340054 fix(anthropic): merge parallel tool results, ordinal stream tool indices, array system content, strict stream decode
Review round 1 fixes (1 Critical + 5 Important) on the anthropic
adapter/translator.

- CRITICAL: consecutive role:"tool" messages each became their own
  Anthropic user turn. Anthropic requires alternating user/assistant
  turns and 400s on two consecutive same-role messages; parallel tool
  calls (one assistant message with N tool_calls followed by N
  role:"tool" messages) are the standard agentic transcript shape.
  anthropicRequestFromOpenAI now accumulates consecutive tool messages
  into one Anthropic user turn carrying all of their tool_result
  blocks (anthropicToolResultBlock replaces anthropicToolResultMessage).
  Added chat_parallel_tool_results fixture.
- Streaming tool_calls[].index passed Anthropic's raw content-block
  index through, so a tool_use block after a text block emitted
  index:1 instead of the required contiguous 0-based ordinal.
  anthropicStreamState now tracks a per-stream tool-call ordinal
  counter plus a content-block-index -> ordinal map, populated on
  content_block_start and consulted on input_json_delta. Added the
  stream_text_then_tool fixture (text block at index 0, tool_use at
  index 1) proving the emitted index is 0.
- A system message with array-form content ([{"type":"text",...}])
  was silently dropped (only a string content was handled). Added
  systemTextFromContentParts: text parts join with "\n"; a non-text
  part returns a *translateError instead of being dropped. Added
  chat_system_array_content (success) and
  chat_system_array_content_error fixtures.
- Malformed JSON on a recognized stream event (message_start,
  content_block_start, content_block_delta, message_delta) was
  swallowed as (nil, nil), which could silently corrupt a client's
  reassembled tool-call arguments. All four now return an error
  wrapping errUpstream; forwardStream already propagates that and
  withholds the terminal [DONE]. The unrecognized-event-type and
  error-event branches are unchanged. Added
  TestAnthropicStreamState_MalformedEventReturnsError.
- providerAdapter.injectAuth's doc comment claimed a universal
  empty-key no-op; updated to state the per-type divergence
  (openai-type: keyless is a no-op; anthropic-type: the constructor
  rejects an empty key, so injectAuth is never called with one).
- Added case-insensitive-Content-Type coverage for both adapters'
  streaming-vs-JSON gate (previously untested): one subtest each in
  provider_openai_test.go / provider_anthropic_test.go using a fake
  upstream that sends "Text/Event-Stream; charset=utf-8", asserting
  the streaming path (not the JSON fallback) is taken.

Gate: go test ./... -count=1 and -race both green; gofmt, go vet,
fieldalignment, golangci-lint (incl. gosec), govulncheck all clean.
2026-08-20 03:49:50 +01:00

14 lines
609 B
JSON

{
"model": "claude-opus-5",
"messages": [
{"role": "user", "content": "What's the weather in Paris and Tokyo?"},
{"role": "assistant", "content": null, "tool_calls": [
{"id": "call_1", "type": "function", "function": {"name": "get_weather", "arguments": "{\"location\":\"Paris\"}"}},
{"id": "call_2", "type": "function", "function": {"name": "get_weather", "arguments": "{\"location\":\"Tokyo\"}"}}
]},
{"role": "tool", "tool_call_id": "call_1", "content": "72F and sunny"},
{"role": "tool", "tool_call_id": "call_2", "content": "50F and rainy"}
],
"max_tokens": 200
}