▗ ▗   ▖ ▖  Claude Code v2.1.117
           Opus 4.7 (1M context) · Claude Max
  ▘▘ ▝▝    ~/Desktop/vindicara/packages/projectair

❯ /clear                                                                        
  ⎿  (no content)

❯  Hi Claude. projectair ships integrations for LangChain, OpenAI SDK, and      
  Anthropic SDK. LlamaIndex is on the roadmap.                                  
    ▎  Let's ship it now. Please:                                               
    ▎ 1. Review existing integrations in airsdk/integrations/                   
                                                                                
    ▎ 2. Implement airsdk/integrations/llamaindex.py with an                    
  instrument_llamaindex(client) function matching our existing                  
    ▎ patterns                                                                  
                                                                                
    ▎ 3. Write tests in tests/test_integrations_llamaindex.py                   
    ▎ 4. Update README with the new integration snippet                         
                                                                                
    ▎ 5. Bump version to 0.3.1 and document in CHANGELOG                        
                                                                                
                                                                                

  Read 5 files, listed 1 directory (ctrl+o to expand)

⏺ Now let me look at the LangChain callback for comparison, since LlamaIndex
  also uses a callback-based instrumentation pattern.

  Read 1 file (ctrl+o to expand)

⏺ Let me check the CHANGELOG and README to understand the update points.

  Listed 1 directory (ctrl+o to expand)

  Read 4 files, listed 1 directory (ctrl+o to expand)

⏺ Now let me mark task 1 in progress and write the LlamaIndex integration.

⏺ Write(src/airsdk/integrations/llamaindex.py)
  ⎿  Wrote 282 lines to src/airsdk/integrations/llamaindex.py
       2 """LlamaIndex LLM instrumentation.
         LLM``) so thatndex LLM (any subclass of ``llama_index.core.llms.
       4 every ``llm.complete(...)``, ``llm.chat(...)`` call, plus their 
       5 streaming variants, writes a signed ``llm_start`` + ``llm_end`` 
         AgDR pair
       7 through the supplied :class:`airsdk.recorder.AIRRecorder`.
         tream_complete``e`` / ``acomplete`` / ``stream_complete`` / ``as
       9 and ``chat`` / ``achat`` / ``stream_chat`` / ``astream_chat``. T
      10 emitted as part of a chat response is captured into the ``llm_en
         d`` payload;
     … +330 lines (ctrl+o to expand)

⏺ Now update the integrations __init__.py and write the tests.

⏺ Update(src/airsdk/integrations/__init__.py)
  ⎿  Added 5 lines, removed 3 lines
       4  to emit AgDR records through an :class:`airsdk.recorder.AIRReco
          rder`.
       5  
       6  Available:
       7 -    - openai  (instrument_openai)                              
       7 +    - openai      (instrument_openai)                          
       8 +    - anthropic   (instrument_anthropic)                       
       9 +    - llamaindex  (instrument_llamaindex)                      
      10  
      11  Planned:
      10 -    - anthropic                                                
      11 -    - llamaindex                                               
      12 +    - crewai                                                   
      13 +    - autogen                                                  
      14  """
⏺ Write(tests/test_integrations_llamaindex.py)
  ⎿  Wrote 261 lines to tests/test_integrations_llamaindex.py
       2 """Tests for the LlamaIndex LLM instrumentation wrapper.
       3 Mocks the LlamaIndex LLM entirely; these tests never hit a real 
         provider or
       4 require llama-index to be installed.
       5 """
       6 from __future__ import annotations
       7 
       8 import asyncio
       9 from pathlib import Path
      10 from types import SimpleNamespace
     … +286 lines (ctrl+o to expand)

⏺ Now let me run the tests first to verify they pass before moving on to README
  and version bump.

⏺ Bash(.venv-air/bin/python -m pytest
      packages/projectair/tests/test_integrations_llamaindex.py -v 2>&1 | tail
      -80)
  ⎿  ============================= test session starts ====================
     ==========
     platform darwin -- Python 3.13.12, pytest-8.4.2, pluggy-1.6.0 -- /User
     … +30 lines (ctrl+o to expand)

⏺ All 15 tests pass. Now run the full projectair suite, update README, bump
  version, and add CHANGELOG.

⏺ Bash(.venv-air/bin/python -m pytest packages/projectair/tests -q 2>&1 | tail
      -25)
  ⎿  ......................................................................
     .. [ 33%]
     ......................................................................
     … +4 lines (ctrl+o to expand)

⏺ All 215 tests pass. Now update the README with the LlamaIndex snippet.

⏺ Update(README.md)
  ⎿  Added 19 lines
       93  )
       94  ```
       95  
       96 +### LlamaIndex                                                
       97 +                                                              
       98 +```python                                                     
       99 +from llama_index.llms.openai import OpenAI as LlamaOpenAI     
      100 +from airsdk import AIRRecorder                                
      101 +from airsdk.integrations.llamaindex import instrument_llamaind
          +ex                                                            
      102 +                                                              
      103 +recorder = AIRRecorder(log_path="my-agent.log", user_intent="D
          +raft a Q3 sales report")                                      
      104 +llm = instrument_llamaindex(LlamaOpenAI(model="gpt-4o"), recor
          +der)                                                          
      105 +                                                              
      106 +# complete / chat / stream_complete / stream_chat and their as
          +ync variants all emit                                         
      107 +# llm_start + llm_end Signed Intent Capsules automatically.   
      108 +response = llm.complete("Draft the opening paragraph.")       
      109 +                                                              
      110 +# The wrapped LLM passes through every other attribute, so it 
          +drops into query engines                                      
      111 +# and agents wherever a plain LlamaIndex LLM is expected.     
      112 +# query_engine = index.as_query_engine(llm=llm)               
      113 +```                                                           
      114 +                                                              
      115  For tool calls your code executes, wrap them with `recorder.to
           ol_start(...)` / `recorder.tool_end(...)` so the forensic chai
           n captures them too.
      116  
      117  ### Custom code (any framework)

⏺ Update(README.md)
  ⎿  Added 2 lines, removed 1 line
      197  | LangChain callback integration             | implemented    
                                              |
      198  | OpenAI SDK integration                     | implemented    
                                              |
      199  | Anthropic SDK integration                  | implemented    
                                              |
      200 -| LlamaIndex / CrewAI / AutoGen              | not yet impleme
          -nted                               |                          
      200 +| LlamaIndex LLM integration                 | implemented    
          +                                   |                          
      201 +| CrewAI / AutoGen                           | not yet impleme
          +nted                               |                          
      202  
      203  The detectors are honest first-pass heuristics. They will prod
           uce false positives and false negatives. The signed chain itse
           lf is production-grade cryptography.
      204  

⏺ Update(pyproject.toml)
  ⎿  Added 1 line, removed 1 line
       4  
       5  [project]
       6  name = "projectair"
       7 -version = "0.3.0"                                              
       7 +version = "0.3.1"                                              
       8  description = "Project AIR: forensic reconstruction and inciden
          t response for AI agents. Turn agent traces into signed forensi
          c records with BLAKE3 + Ed25519."
       9  readme = "README.md"
      10  license = "MIT"

⏺ Update(src/airsdk/__init__.py)
  ⎿  Added 1 line, removed 1 line
      44      VerificationStatus,
      45  )
      46  
      47 -__version__ = "0.3.0"                                          
      47 +__version__ = "0.3.1"                                          
      48  
      49  __all__ = [
      50      "AGDR_VERSION",

  Searched for 1 pattern (ctrl+o to expand)

⏺ Now create the CHANGELOG.

⏺ Write(CHANGELOG.md)
  ⎿  Wrote 41 lines to CHANGELOG.md
      2 # Changelog
        [Keep a Changelog](https://keepachangelog.com/en/1.1.0/). Version
      4 ing: [SemVer](https://semver.org/).
      5 ## [0.3.1] - 2026-04-23
      7 ### Added
        trument_llamaindex(llm, recorder)`. Wraps any `llama_index.core.l
        lms.LLM` subclass as a transparent proxy that emits signed `llm_s
        te` / `stream_complete` / `astream_complete` / `chat` / `achat` /
        esponses is captured in the `llm_end` payload. Every other attrib
        ute passes through u
     … +65 lines (ctrl+o to expand)

⏺ Bash(cd /Users/KMiI/Desktop/vindicara/packages/projectair &&
      /Users/KMiI/Desktop/vindicara/.venv-air/bin/python -m ruff check
      src/airsdk/integrations/llamaindex.py t…)
  ⎿  All checks passed!

⏺ Bash(cd /Users/KMiI/Desktop/vindicara/packages/projectair &&
      /Users/KMiI/Desktop/vindicara/.venv-air/bin/python -m mypy
      src/airsdk/integrations/llamaindex.py 2>&1 |…)  ⎿  Success: no issues found in 1 source file

⏺ Bash(.venv-air/bin/python -m pytest packages/projectair/tests -q 2>&1 | tail
      -15)
  ⎿  (eval):1: no such file or directory: .venv-air/bin/python

⏺ Bash(/Users/KMiI/Desktop/vindicara/.venv-air/bin/python -m pytest
      /Users/KMiI/Desktop/vindicara/packages/projectair/tests -q 2>&1 | tail
      -15)
  ⎿  ......................................................................
     .. [ 33%]
     ......................................................................
     … +4 lines (ctrl+o to expand)

⏺ Ruff clean, mypy --strict clean, all 215 tests pass. Let me call advisor to
  gut-check before declaring done.

⏺ Advising using Opus 4.7
  ⎿  ✔ Advisor has reviewed the conversation and will apply the feedback

⏺ Advisor flagged a real behavioral bug in the stream-chat content fallback
  (could double-count cumulative message.content), a README overclaim about
  drop-in replacement, and a compatibility gap with LlamaIndex astream_*
  variants. Fixing all three.

⏺ Update(src/airsdk/integrations/llamaindex.py)
  ⎿  Added 4 lines, removed 12 lines
      129          return chunk
      130  
      131      def _accumulate(self, chunk: Any) -> None:
      132 +        # LlamaIndex stream chunks always carry the token delt
          +a on `.delta`; the                                            
      133 +        # `message.content` field is cumulative and must not b
          +e summed across chunks.                                       
      134          delta = getattr(chunk, "delta", None)
      135          if delta:
      136              self._chunks.append(str(delta))
      135 -            return                                            
      136 -        if self._is_chat:                                     
      137 -            message = getattr(chunk, "message", None)         
      138 -            content = getattr(message, "content", None) if mes
          -sage is not None else None                                    
      139 -            if content:                                       
      140 -                self._chunks.append(str(content))             
      137  
      138      def _flush(self) -> None:
      139          if self._emitted:
     ...
      172          return chunk
      173  
      174      def _accumulate(self, chunk: Any) -> None:
      175 +        # LlamaIndex stream chunks always carry the token delt
          +a on `.delta`; the                                            
      176 +        # `message.content` field is cumulative and must not b
          +e summed across chunks.                                       
      177          delta = getattr(chunk, "delta", None)
      178          if delta:
      179              self._chunks.append(str(delta))
      182 -            return                                            
      183 -        if self._is_chat:                                     
      184 -            message = getattr(chunk, "message", None)         
      185 -            content = getattr(message, "content", None) if mes
          -sage is not None else None                                    
      186 -            if content:                                       
      187 -                self._chunks.append(str(content))             
      180  
      181      def _flush(self) -> None:
      182          if self._emitted:

⏺ Now clean up the now-unused is_chat parameter and fix the astream_*
  compatibility + README claim.

⏺ Update(src/airsdk/integrations/llamaindex.py)
  ⎿  Added 1 line, removed 2 lines
      109  class _SyncStreamProxy:
      110      """Wrap a LlamaIndex sync stream, accumulate ``delta`` tex
           t, emit ``llm_end`` on exhaust."""
      111  
      112 -    def __init__(self, stream: Iterator[Any], recorder: AIRRec
          -order, *, is_chat: bool) -> None:                             
      112 +    def __init__(self, stream: Iterator[Any], recorder: AIRRec
          +order) -> None:                                               
      113          self._stream = stream
      114          self._recorder = recorder
      115 -        self._is_chat = is_chat                               
      115          self._chunks: list[str] = []
      116          self._emitted = False
      117  

⏺ Update(src/airsdk/integrations/llamaindex.py)
  ⎿  Added 1 line, removed 2 lines
      151  class _AsyncStreamProxy:
      152      """Wrap a LlamaIndex async stream, accumulate ``delta`` te
           xt, emit ``llm_end`` on exhaust."""
      153  
      154 -    def __init__(self, stream: AsyncIterator[Any], recorder: A
          -IRRecorder, *, is_chat: bool) -> None:                        
      154 +    def __init__(self, stream: AsyncIterator[Any], recorder: A
          +IRRecorder) -> None:                                          
      155          self._stream = stream
      156          self._recorder = recorder
      157 -        self._is_chat = is_chat                               
      157          self._chunks: list[str] = []
      158          self._emitted = False
      159  

⏺ Update(src/airsdk/integrations/llamaindex.py)
  ⎿  Added 3 lines, removed 3 lines
      220      def stream_complete(self, prompt: str, **kwargs: Any) -> _
           SyncStreamProxy:
      221          self._recorder.llm_start(prompt=str(prompt))
      222          stream = self._llm.stream_complete(prompt, **kwargs)
      223 -        return _SyncStreamProxy(iter(stream), self._recorder, 
          -is_chat=False)                                                
      223 +        return _SyncStreamProxy(iter(stream), self._recorder) 
      224  
      225      async def astream_complete(self, prompt: str, **kwargs: An
           y) -> _AsyncStreamProxy:
      226          self._recorder.llm_start(prompt=str(prompt))
      227 -        stream = await self._llm.astream_complete(prompt, **kw
          -args)                                                         
      228 -        return _AsyncStreamProxy(stream, self._recorder, is_ch
          -at=False)                                                     
      227 +        stream = await _resolve_async_stream(self._llm.astream
          +_complete(prompt, **kwargs))                                  
      228 +        return _AsyncStreamProxy(stream, self._recorder)      
      229  
      230      # -- Chat surface ----------------------------------------
           --------------
      231  

⏺ Update(src/airsdk/integrations/llamaindex.py)
  ⎿  Added 3 lines, removed 3 lines
      244      def stream_chat(self, messages: Any, **kwargs: Any) -> _Sy
           ncStreamProxy:
      245          self._recorder.llm_start(prompt=_format_chat_messages(
           messages))
      246          stream = self._llm.stream_chat(messages, **kwargs)
      247 -        return _SyncStreamProxy(iter(stream), self._recorder, 
          -is_chat=True)                                                 
      247 +        return _SyncStreamProxy(iter(stream), self._recorder) 
      248  
      249      async def astream_chat(self, messages: Any, **kwargs: Any)
            -> _AsyncStreamProxy:
      250          self._recorder.llm_start(prompt=_format_chat_messages(
           messages))
      251 -        stream = await self._llm.astream_chat(messages, **kwar
          -gs)                                                           
      252 -        return _AsyncStreamProxy(stream, self._recorder, is_ch
          -at=True)                                                      
      251 +        stream = await _resolve_async_stream(self._llm.astream
          +_chat(messages, **kwargs))                                    
      252 +        return _AsyncStreamProxy(stream, self._recorder)      
      253  
      254      # -- Passthrough -----------------------------------------
           --------------
      255  

⏺ Now add the _resolve_async_stream helper near the top of the file.

⏺ Update(src/airsdk/integrations/llamaindex.py)
  ⎿  Added 13 lines
      33  from airsdk.recorder import AIRRecorder
      34  
      35  
      36 +async def _resolve_async_stream(maybe_coro: Any) -> AsyncIterat
         +or[Any]:                                                       
      37 +    """Resolve the two LlamaIndex ``astream_*`` call styles int
         +o an async iterator.                                           
      38 +                                                               
      39 +    llama-index >= 0.10 returns a coroutine that resolves to an
         + async generator                                               
      40 +    (so callers must ``await``). Older releases had methods tha
         +t were themselves                                              
      41 +    async generators, which do not need awaiting. Handle both b
         +y awaiting only                                                
      42 +    when the underlying call returned a coroutine.             
      43 +    """                                                        
      44 +    if inspect.iscoroutine(maybe_coro):                        
      45 +        return await maybe_coro  # type: ignore[no-any-return] 
      46 +    return maybe_coro  # type: ignore[no-any-return]           
      47 +                                                               
      48 +                                                               
      49  def _format_chat_messages(messages: Any) -> str:
      50      """Flatten LlamaIndex ``ChatMessage`` objects (or dicts) in
          to a prompt string."""
      51      parts: list[str] = []

⏺ Now soften the README claim about drop-in use.

⏺ Update(README.md)
  ⎿  Added 2 lines, removed 4 lines
      106  # complete / chat / stream_complete / stream_chat and their as
           ync variants all emit
      107  # llm_start + llm_end Signed Intent Capsules automatically.
      108  response = llm.complete("Draft the opening paragraph.")
      109 -                                                              
      110 -# The wrapped LLM passes through every other attribute, so it 
          -drops into query engines                                      
      111 -# and agents wherever a plain LlamaIndex LLM is expected.     
      112 -# query_engine = index.as_query_engine(llm=llm)               
      109  ```
      110  
      111 +The wrapped LLM is a duck-typed proxy, not an `llama_index.cor
          +e.llms.LLM` subclass. It works wherever LlamaIndex calls the L
          +LM directly. Components that run Pydantic validation against t
          +he `LLM` type (for example, some query engines and `Settings.l
          +lm`) will reject the proxy; in those flows, instrument the cal
          +l sites in your own code or attach the recorder to a callback 
          +instead. Requires llama-index >= 0.10.                        
      112 +                                                              
      113  For tool calls your code executes, wrap them with `recorder.to
           ol_start(...)` / `recorder.tool_end(...)` so the forensic chai
           n captures them too.
      114  
      115  ### Custom code (any framework)

⏺ Now update tests: remove the fallback-content test (no longer valid) and add
  coverage for the old-style astream_* path that returns an async generator
  directly.

⏺ Update(tests/test_integrations_llamaindex.py)
  ⎿  Added 6 lines, removed 6 lines
      143      assert records[1].payload.response == "Hello!"
      144  
      145  
      146 -def test_instrument_stream_chat_accumulates_message_content(tm
          -p_path: Path) -> None:                                        
      147 -    # Some providers populate only message.content on each chu
          -nk, not delta.                                                
      146 +def test_instrument_stream_chat_accumulates_deltas(tmp_path: P
          +ath) -> None:                                                 
      147 +    # LlamaIndex chat streams carry the token delta on `.delta
          +`; `message.content`                                          
      148 +    # is cumulative on every chunk and MUST NOT be summed acro
          +ss chunks.                                                    
      149      chunks = [
      149 -        _chat_response(_chat_message("assistant", "Hel")),    
      150 -        _chat_response(_chat_message("assistant", "lo")),     
      151 -        _chat_response(_chat_message("assistant", " world")), 
      150 +        SimpleNamespace(message=_chat_message("assistant", "He
          +l"), delta="Hel"),                                            
      151 +        SimpleNamespace(message=_chat_message("assistant", "He
          +llo"), delta="lo"),                                           
      152 +        SimpleNamespace(message=_chat_message("assistant", "He
          +llo world"), delta=" world"),                                 
      153      ]
      153 -    # Default delta=None on SimpleNamespace above.            
      154      recorder = AIRRecorder(log_path=tmp_path / "r.log")
      155      fake = _fake_llm()
      156      fake.stream_chat = MagicMock(return_value=iter(chunks))

⏺ Update(tests/test_integrations_llamaindex.py)
  ⎿  Added 27 lines
      250      assert llm.recorder is recorder
      251  
      252  
      253 +def test_instrument_astream_complete_handles_direct_async_gene
          +rator(tmp_path: Path) -> None:                                
      254 +    # llama-index < 0.10 style: astream_* returns an async gen
          +erator directly,                                              
      255 +    # so the caller does not `await` it. Our wrapper must stil
          +l work.                                                       
      256 +    async def _gen() -> Any:                                  
      257 +        for piece in ["A", "B", "C"]:                         
      258 +            yield SimpleNamespace(text=piece, delta=piece)    
      259 +                                                              
      260 +    recorder = AIRRecorder(log_path=tmp_path / "r.log")       
      261 +    fake = _fake_llm()                                        
      262 +    # Non-async callable that returns the async generator dire
          +ctly.                                                         
      263 +    fake.astream_complete = MagicMock(return_value=_gen())    
      264 +    llm = instrument_llamaindex(fake, recorder)               
      265 +                                                              
      266 +    async def _drive() -> list[Any]:                          
      267 +        stream = await llm.astream_complete("ping")           
      268 +        collected: list[Any] = []                             
      269 +        async for chunk in stream:                            
      270 +            collected.append(chunk)                           
      271 +        return collected                                      
      272 +                                                              
      273 +    chunks = asyncio.run(_drive())                            
      274 +    assert len(chunks) == 3                                   
      275 +                                                              
      276 +    records = load_chain(tmp_path / "r.log")                  
      277 +    assert records[1].payload.response == "ABC"               
      278 +                                                              
      279 +                                                              
      280  @pytest.mark.parametrize("prompt_value", ["plain string", "wit
           h\nnewlines", ""])
      281  def test_complete_accepts_various_prompt_strings(tmp_path: Pat
           h, prompt_value: str) -> None:
      282      recorder = AIRRecorder(log_path=tmp_path / "r.log")

⏺ Now re-run lint, mypy, and the full suite.

⏺ Bash(/Users/KMiI/Desktop/vindicara/.venv-air/bin/python -m ruff check
      src/airsdk/integrations/llamaindex.py
      tests/test_integrations_llamaindex.py 2>&1 | tail -10)
  ⎿  All checks passed!

⏺ Bash(/Users/KMiI/Desktop/vindicara/.venv-air/bin/python -m mypy
      src/airsdk/integrations/llamaindex.py 2>&1 | tail -10)
  ⎿  Success: no issues found in 1 source file

⏺ Bash(/Users/KMiI/Desktop/vindicara/.venv-air/bin/python -m pytest
      /Users/KMiI/Desktop/vindicara/packages/projectair/tests -q 2>&1 | tail
      -10)  ⎿  ......................................................................
     .. [ 33%]
     ......................................................................
     … +4 lines (ctrl+o to expand)

⏺ Bash(/Users/KMiI/Desktop/vindicara/.venv-air/bin/python -c "from airsdk import
       __version__; from airsdk.integrations.llamaindex import
      instrument_llamaindex, Instrum…)
  ⎿  version: 0.3.1
     exports OK

⏺ Done.

  Shipped in this session:
  - packages/projectair/src/airsdk/integrations/llamaindex.py — proxy-style
  instrument_llamaindex(llm, recorder) covering sync + async complete / chat /
  stream_complete / stream_chat. Trusts .delta on chunks only (advisor caught a
  double-count bug where message.content is cumulative in LlamaIndex and would
  have been summed incorrectly). Handles both llama-index >= 0.10 await-style
  and legacy direct-generator-style astream_* methods via _resolve_async_stream.
  - packages/projectair/tests/test_integrations_llamaindex.py — 16 tests
  covering the happy path, multimodal blocks, tool-call capture, role enums,
  streaming (sync + async, both LlamaIndex API generations), passthrough
  attribute forwarding, and early-close flush.
  - README.md — added LlamaIndex section; softened the drop-in claim to
  acknowledge that Pydantic-validated LLM fields (query engines, Settings.llm)
  will reject the duck-typed proxy.
  - pyproject.toml + airsdk/__init__.py — 0.3.0 → 0.3.1.
  - CHANGELOG.md (new file) — Keep-a-Changelog format, 0.3.1 entry plus
  backfilled history grounded in CLAUDE.md's PyPI release log.

  Verification: ruff clean, mypy --strict clean, pytest 
  packages/projectair/tests → 216 passed.

  Not done (not asked for): actual PyPI publish. When you're ready: cd 
  packages/projectair && rm -f dist/*.whl dist/*.tar.gz && python -m build && 
  python -m twine check dist/* && python -m twine upload dist/projectair-0.3.1*.

✻ Worked for 9m 6s