mirror of
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Paweł Banaszewski
e00e85765b
This PR merges code from `coder/aibridge` repository into `coder/coder`. It was split into 4 PRs for easier review but stacked PRs will need to be merged into this PR so all checks pass. * https://github.com/coder/coder/pull/24190 -> raw code copy (this PR, before merging PRs on top of it, it was just 1 commit: https://github.com/coder/coder/commit/70d33f33200c7e77df910957595715f81f9bec24) * https://github.com/coder/coder/pull/24570 -> update imports in `coder/coder` to use copied code * https://github.com/coder/coder/pull/24586 -> linter fixes and CI integration (also added README.md) * https://github.com/coder/coder/pull/24571 -> added exclude to scripts/check_emdash.sh check Original PR message (before PR squash): Moves coder/aibridge code into coder/coder repository. Omitted files: - `go.mod`, `go.sum`, `.gitignore`, `.github/workflows/ci.yml,` `Makefile`, `LICENSE`, `README.md` (modified README.md is added later) - `.github`, `example`, `buildinfo,` `scripts` directories Simple verification script (will list omitted files) ``` tmp=$(mktemp -d) echo "$tmp" git clone --depth=1 https://github.com/coder/aibridge "$tmp/aibridge" git clone --depth=1 --branch pb/aibridge-code-move https://github.com/coder/coder "$tmp/coder" diff -rq --exclude=.git "$tmp/aibridge" "$tmp/coder/aibridge" # rm -rf "$tmp" ```
48 lines
5.0 KiB
Plaintext
48 lines
5.0 KiB
Plaintext
-- request --
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{
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"model": "gpt-5.2-codex",
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"input": "Test cached input tokens.",
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"stream": true
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}
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-- streaming --
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event: response.created
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data: {"type":"response.created","response":{"id":"resp_05080461b406f3f501696a1409d34c8195a40ff4b092145c35","object":"response","created_at":1768559625,"status":"in_progress","background":false,"completed_at":null,"error":null,"instructions":null,"max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5.2-codex","output":[],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"medium","summary":"detailed"},"service_tier":"auto","store":false,"temperature":1.0,"tool_choice":"auto","tools":[],"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":0}
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event: response.in_progress
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data: {"type":"response.in_progress","response":{"id":"resp_05080461b406f3f501696a1409d34c8195a40ff4b092145c35","object":"response","created_at":1768559625,"status":"in_progress","background":false,"completed_at":null,"error":null,"instructions":null,"max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5.2-codex","output":[],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":null,"prompt_cache_retention":null,"reasoning":{"effort":"medium","summary":"detailed"},"service_tier":"auto","store":false,"temperature":1.0,"tool_choice":"auto","tools":[],"truncation":"disabled","usage":null,"user":null,"metadata":{}},"sequence_number":1}
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event: response.output_item.added
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data: {"type":"response.output_item.added","item":{"id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","type":"message","status":"in_progress","content":[],"role":"assistant"},"output_index":0,"sequence_number":2}
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event: response.content_part.added
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data: {"type":"response.content_part.added","content_index":0,"item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"part":{"type":"output_text","annotations":[],"text":""},"sequence_number":3}
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event: response.output_text.delta
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data: {"type":"response.output_text.delta","content_index":0,"delta":"Test","item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"sequence_number":4}
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event: response.output_text.delta
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data: {"type":"response.output_text.delta","content_index":0,"delta":" response","item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"sequence_number":5}
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event: response.output_text.delta
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data: {"type":"response.output_text.delta","content_index":0,"delta":" with","item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"sequence_number":6}
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event: response.output_text.delta
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data: {"type":"response.output_text.delta","content_index":0,"delta":" cached","item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"sequence_number":7}
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event: response.output_text.delta
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data: {"type":"response.output_text.delta","content_index":0,"delta":" tokens.","item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"sequence_number":8}
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event: response.output_text.done
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data: {"type":"response.output_text.done","content_index":0,"item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"text":"Test response with cached tokens.","sequence_number":9}
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event: response.content_part.done
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data: {"type":"response.content_part.done","content_index":0,"item_id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","output_index":0,"part":{"type":"output_text","annotations":[],"text":"Test response with cached tokens."},"sequence_number":10}
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event: response.output_item.done
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data: {"type":"response.output_item.done","item":{"id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"text":"Test response with cached tokens."}],"role":"assistant"},"output_index":0,"sequence_number":11}
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event: response.completed
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data: {"type":"response.completed","response":{"id":"resp_05080461b406f3f501696a1409d34c8195a40ff4b092145c35","object":"response","created_at":1768559625,"status":"completed","background":false,"completed_at":1768559627,"error":null,"instructions":null,"max_output_tokens":null,"max_tool_calls":null,"model":"gpt-5.2-codex","output":[{"id":"msg_05080461b406f3f501696a140a70d88195a2ce4c1a4eb39696","type":"message","status":"completed","content":[{"type":"output_text","annotations":[],"text":"Test response with cached tokens."}],"role":"assistant"}],"parallel_tool_calls":true,"previous_response_id":null,"prompt_cache_key":"019bc657-f77b-7292-b5f4-2e8d6c2b0945","prompt_cache_retention":null,"reasoning":{"effort":"medium","summary":"detailed"},"service_tier":"default","store":false,"temperature":1.0,"tool_choice":"auto","tools":[],"truncation":"disabled","usage":{"input_tokens":16909,"input_tokens_details":{"cached_tokens":15744},"output_tokens":54,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":16963},"user":null,"metadata":{}},"sequence_number":12}
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