Commit Graph
5 Commits
Author SHA1 Message Date
m1saka f988c47fec Fix silent data loss in function_call arguments/output non-string JSON parsing
build / build (push) Successful in 2m29s
responsesInputToMessages unmarshaled function_call.arguments and
function_call_output.output as bare strings, silently dropping the
value when it arrived as an object or content-parts array. This
caused the model to lose tool-call context in multi-turn
conversations, increasing the likelihood of malformed tool-call JSON.

Add rawJSONToString (re-encodes non-string values as JSON strings)
and outputToString (extracts text from content-parts arrays, re-encodes
other non-string values). Add 3 regression tests covering object
arguments, array output, and object output.
2026-08-23 14:15:01 +08:00
m1saka b9a3f8d5cd Mirror Zhanlu client: GLM tool_stream, shared v4 UUID request id, drop chat state:ERROR
build / build (push) Successful in 2m26s
2026-08-21 14:27:37 +08:00
m1saka 2517b4f730 Add OpenAI Responses API (/v1/responses) endpoint
Translate Responses API requests (input→messages, instructions→system,
max_output_tokens→max_tokens, text.format→response_format, flat tools→nested
{function:{…}}) to upstream chat/completions, then convert responses back to
Responses format (streaming SSE event lifecycle + non-streaming JSON).

Verified against OpenAI migration guide and Python SDK Response model:
- Echo back required fields parallel_tool_calls/tool_choice/tools
- Include content:[] in reasoning items, logprobs:[] in output_text parts
- Support function_call/function_call_output multi-turn input items
- Map usage fields prompt_tokens→input_tokens, completion_tokens→output_tokens
2026-08-20 10:02:11 +08:00
m1saka 7d8a5b6f74 Update proxy to Zhanlu v1.4.2 provider flow
The 1.4.2 extension replaced the old signed/encrypted chat gateway with an
OpenAI-compatible aigateway. Align the proxy with the new flow:

- Use ecloud.10086.cn login/model base URLs, zhanlu_ide plugin headers and
  v1.4.2 plugin version
- Provision the model API key via SM2-signed get-or-create after v1/login
  profile fetch; store api_key/model_base_url/email in credentials
- Chat via Bearer apiKey against {modelBaseUrl}/chat/completions with plain
  OpenAI SSE passthrough; fetch /v1/models from the gateway model-info endpoint
- Force HTTP/1.1 upstream (gateway drops HTTP/2 ALPN negotiation with EOF)
- Drop obsolete AES body encryption, model name mapping and vscode headers
2026-08-05 14:55:28 +08:00
M1saka d4dd3a0f1b Initial zhanlu OpenAI proxy
build / build (push) Successful in 53s
2026-07-08 09:13:45 +08:00